From 924678a2fa89e17b2d5fd4a25789875c0e04068d Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 10 Oct 2023 15:42:49 -0700 Subject: [PATCH 01/41] CDAT Migration Phase 2: Refactor core utilities and `lat_lon` set (#677) Refer to the PR for more information because the changelog is massive. Update build workflow to run on `cdat-migration-fy24` branch CDAT Migration Phase 2: Add CDAT regression test notebook template and fix GH Actions build (#743) - Add Makefile for quick access to multiple Python-based commands such as linting, testing, cleaning up cache and build files - Fix some lingering unit tests failure - Update `xcdat=0.6.0rc1` to `xcdat >=0.6.0` in `ci.yml`, `dev.yml` and `dev-nompi.yml` - Add `xskillscore` to `ci.yml` - Fix `pre-commit` issues CDAT Migration Phase 2: Regression testing for `lat_lon`, `lat_lon_land`, and `lat_lon_river` (#744) - Add Makefile that simplifies common development commands (building and installing, testing, etc.) - Write unit tests to cover all new code for utility functions - `dataset_xr.py`, `metrics.py`, `climo_xr.py`, `io.py`, `regrid.py` - Metrics comparison for `cdat-migration-fy24` `lat_lon` and `main` branch of `lat_lon` -- `NET_FLUX_SRF` and `RESTOM` have the highest spatial average diffs - Test run with 3D variables (`_run_3d_diags()`) - Fix Python 3.9 bug with using pipe command to represent Union -- doesn't work with `from __future__ import annotations` still - Fix subsetting syntax bug using ilev - Fix regridding bug where a single plev is passed and xCDAT does not allow generating bounds for coordinates of len <= 1 -- add conditional that just ignores adding new bounds for regridded output datasets, fix related tests - Fix accidentally calling save plots and metrics twice in `_get_metrics_by_region()` - Fix failing integration tests pass in CI/CD - Refactor `test_diags.py` -- replace unittest with pytest - Refactor `test_all_sets.py` -- replace unittest with pytest - Test climatology datasets -- tested with 3d variables using `test_all_sets.py` CDAT Migration Phase 2: Refactor utilities and CoreParameter methods for reusability across diagnostic sets (#746) - Move driver type annotations to `type_annotations.py` - Move `lat_lon_driver._save_data_metrics_and_plots()` to `io.py` - Update `_save_data_metrics_and_plots` args to accept `plot_func` callable - Update `metrics.spatial_avg` to return an optionally `xr.DataArray` with `as_list=False` - Move `parameter` arg to the top in `lat_lon_plot.plot` - Move `_set_param_output_attrs` and `_set_name_yr_attrs` from `lat_lon_driver` to `CoreParameter` class --- .github/workflows/build_workflow.yml | 2 +- .pre-commit-config.yaml | 3 +- .../template_cdat_regression_test.ipynb | 1333 ++++++++++++++ conda-env/ci.yml | 3 + conda-env/dev-nompi.yml | 3 + conda-env/dev.yml | 5 +- e3sm_diags/derivations/default_regions.py | 4 + e3sm_diags/derivations/default_regions_xr.py | 94 + e3sm_diags/derivations/derivations.py | 1484 ++++++++++++++++ e3sm_diags/derivations/formulas.py | 378 ++++ e3sm_diags/derivations/utils.py | 309 ++++ e3sm_diags/driver/__init__.py | 14 + e3sm_diags/driver/lat_lon_driver.py | 628 ++++--- e3sm_diags/driver/lat_lon_land_driver.py | 13 - e3sm_diags/driver/lat_lon_river_driver.py | 13 - e3sm_diags/driver/utils/climo.py | 7 + e3sm_diags/driver/utils/climo_xr.py | 156 ++ e3sm_diags/driver/utils/dataset_xr.py | 1060 +++++++++++ e3sm_diags/driver/utils/general.py | 44 +- e3sm_diags/driver/utils/io.py | 159 ++ e3sm_diags/driver/utils/regrid.py | 683 +++++++ e3sm_diags/driver/utils/type_annotations.py | 9 + e3sm_diags/metrics/metrics.py | 207 +++ e3sm_diags/parameter/core_parameter.py | 81 +- e3sm_diags/plot/__init__.py | 14 +- .../plot/cartopy/aerosol_aeronet_plot.py | 4 +- ...lon_plot.py => deprecated_lat_lon_plot.py} | 7 + e3sm_diags/plot/cartopy/taylor_diagram.py | 4 +- .../plot/{cartopy => }/lat_lon_land_plot.py | 2 +- e3sm_diags/plot/lat_lon_plot.py | 103 ++ .../plot/{cartopy => }/lat_lon_river_plot.py | 2 +- e3sm_diags/plot/utils.py | 461 +++++ .../{drivers => driver}/__init__.py | 0 .../test_annual_cycle_zonal_mean_driver.py | 0 .../test_tc_analysis_driver.py | 0 tests/e3sm_diags/driver/utils/__init__.py | 0 .../e3sm_diags/driver/utils/test_climo_xr.py | 268 +++ .../driver/utils/test_dataset_xr.py | 1575 +++++++++++++++++ tests/e3sm_diags/driver/utils/test_io.py | 114 ++ tests/e3sm_diags/driver/utils/test_regrid.py | 477 +++++ tests/e3sm_diags/fixtures.py | 106 ++ tests/e3sm_diags/metrics/__init__.py | 0 tests/e3sm_diags/metrics/test_metrics.py | 209 +++ tests/e3sm_diags/test_e3sm_diags_driver.py | 9 + tests/e3sm_diags/test_parameters.py | 3 + tests/integration/test_dataset.py | 198 +++ 46 files changed, 9954 insertions(+), 294 deletions(-) create mode 100644 auxiliary_tools/template_cdat_regression_test.ipynb create mode 100644 e3sm_diags/derivations/default_regions_xr.py create mode 100644 e3sm_diags/derivations/derivations.py create mode 100644 e3sm_diags/derivations/formulas.py create mode 100644 e3sm_diags/derivations/utils.py create mode 100644 e3sm_diags/driver/utils/climo_xr.py create mode 100644 e3sm_diags/driver/utils/dataset_xr.py create mode 100644 e3sm_diags/driver/utils/io.py create mode 100644 e3sm_diags/driver/utils/regrid.py create mode 100644 e3sm_diags/driver/utils/type_annotations.py create mode 100644 e3sm_diags/metrics/metrics.py rename e3sm_diags/plot/cartopy/{lat_lon_plot.py => deprecated_lat_lon_plot.py} (97%) rename e3sm_diags/plot/{cartopy => }/lat_lon_land_plot.py (71%) create mode 100644 e3sm_diags/plot/lat_lon_plot.py rename e3sm_diags/plot/{cartopy => }/lat_lon_river_plot.py (71%) create mode 100644 e3sm_diags/plot/utils.py rename tests/e3sm_diags/{drivers => driver}/__init__.py (100%) rename tests/e3sm_diags/{drivers => driver}/test_annual_cycle_zonal_mean_driver.py (100%) rename tests/e3sm_diags/{drivers => driver}/test_tc_analysis_driver.py (100%) create mode 100644 tests/e3sm_diags/driver/utils/__init__.py create mode 100644 tests/e3sm_diags/driver/utils/test_climo_xr.py create mode 100644 tests/e3sm_diags/driver/utils/test_dataset_xr.py create mode 100644 tests/e3sm_diags/driver/utils/test_io.py create mode 100644 tests/e3sm_diags/driver/utils/test_regrid.py create mode 100644 tests/e3sm_diags/fixtures.py create mode 100644 tests/e3sm_diags/metrics/__init__.py create mode 100644 tests/e3sm_diags/metrics/test_metrics.py create mode 100644 tests/integration/test_dataset.py diff --git a/.github/workflows/build_workflow.yml b/.github/workflows/build_workflow.yml index c9ce71ac6..5fe6d13f7 100644 --- a/.github/workflows/build_workflow.yml +++ b/.github/workflows/build_workflow.yml @@ -5,7 +5,7 @@ on: branches: [main] pull_request: - branches: [main] + branches: [main, cdat-migration-fy24] workflow_dispatch: diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index b01df7202..1cfd94353 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -34,4 +34,5 @@ repos: hooks: - id: mypy args: [--config=pyproject.toml] - additional_dependencies: [dask, numpy>=1.23.0, types-PyYAML] + additional_dependencies: + [dask, numpy>=1.23.0, xarray>=2023.3.0, types-PyYAML] diff --git a/auxiliary_tools/template_cdat_regression_test.ipynb b/auxiliary_tools/template_cdat_regression_test.ipynb new file mode 100644 index 000000000..8b4d00bd1 --- /dev/null +++ b/auxiliary_tools/template_cdat_regression_test.ipynb @@ -0,0 +1,1333 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Test (FY24)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `PROD_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "import math\n", + "from typing import List\n", + "\n", + "import pandas as pd\n", + "\n", + "# TODO: Update DEV_RESULTS and PROD_RESULTS to your diagnostic sets.\n", + "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "PROD_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "PROD_GLOB = sorted(glob.glob(PROD_PATH + \"/*.json\"))\n", + "\n", + "# The names of the columns that store percentage difference values.\n", + "PERCENTAGE_COLUMNS = [\n", + " \"test DIFF (%)\",\n", + " \"ref DIFF (%)\",\n", + " \"test_regrid DIFF (%)\",\n", + " \"ref_regrid DIFF (%)\",\n", + " \"diff DIFF (%)\",\n", + " \"misc DIFF (%)\",\n", + "]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Core Functions\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def get_metrics(filepaths: List[str]) -> pd.DataFrame:\n", + " \"\"\"Get the metrics using a glob of `.json` metric files in a directory.\n", + "\n", + " Parameters\n", + " ----------\n", + " filepaths : List[str]\n", + " The filepaths for metrics `.json` files.\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The DataFrame containing the metrics for all of the variables in\n", + " the results directory.\n", + " \"\"\"\n", + " metrics = []\n", + "\n", + " for filepath in filepaths:\n", + " df = pd.read_json(filepath)\n", + "\n", + " filename = filepath.split(\"/\")[-1]\n", + " var_key = filename.split(\"-\")[1]\n", + "\n", + " # Add the variable key to the MultiIndex and update the index\n", + " # before stacking to make the DataFrame easier to parse.\n", + " multiindex = pd.MultiIndex.from_product([[var_key], [*df.index]])\n", + " df = df.set_index(multiindex)\n", + " df.stack()\n", + "\n", + " metrics.append(df)\n", + "\n", + " df_final = pd.concat(metrics)\n", + "\n", + " # Reorder columns and drop \"unit\" column (string dtype breaks Pandas\n", + " # arithmetic).\n", + " df_final = df_final[[\"test\", \"ref\", \"test_regrid\", \"ref_regrid\", \"diff\", \"misc\"]]\n", + "\n", + " return df_final\n", + "\n", + "\n", + "def get_rel_diffs(df_actual: pd.DataFrame, df_reference: pd.DataFrame) -> pd.DataFrame:\n", + " \"\"\"Get the relative differences between two DataFrames.\n", + "\n", + " Formula: abs(actual - reference) / abs(actual)\n", + "\n", + " Parameters\n", + " ----------\n", + " df_actual : pd.DataFrame\n", + " The first DataFrame representing \"actual\" results (dev branch).\n", + " df_reference : pd.DataFrame\n", + " The second DataFrame representing \"reference\" results (main branch).\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The DataFrame containing absolute and relative differences between\n", + " the metrics DataFrames.\n", + " \"\"\"\n", + " df_diff = abs(df_actual - df_reference) / abs(df_actual)\n", + " df_diff = df_diff.add_suffix(\" DIFF (%)\")\n", + "\n", + " return df_diff\n", + "\n", + "\n", + "def sort_columns(df: pd.DataFrame) -> pd.DataFrame:\n", + " \"\"\"Sorts the order of the columns for the final DataFrame output.\n", + "\n", + " Parameters\n", + " ----------\n", + " df : pd.DataFrame\n", + " The final DataFrame output.\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The final DataFrame output with sorted columns.\n", + " \"\"\"\n", + " columns = [\n", + " \"test_dev\",\n", + " \"test_prod\",\n", + " \"test DIFF (%)\",\n", + " \"ref_dev\",\n", + " \"ref_prod\",\n", + " \"ref DIFF (%)\",\n", + " \"test_regrid_dev\",\n", + " \"test_regrid_prod\",\n", + " \"test_regrid DIFF (%)\",\n", + " \"ref_regrid_dev\",\n", + " \"ref_regrid_prod\",\n", + " \"ref_regrid DIFF (%)\",\n", + " \"diff_dev\",\n", + " \"diff_prod\",\n", + " \"diff DIFF (%)\",\n", + " \"misc_dev\",\n", + " \"misc_prod\",\n", + " \"misc DIFF (%)\",\n", + " ]\n", + "\n", + " df_new = df.copy()\n", + " df_new = df_new[columns]\n", + "\n", + " return df_new\n", + "\n", + "\n", + "def update_diffs_to_pct(df: pd.DataFrame):\n", + " \"\"\"Update relative diff columns from float to string percentage.\n", + "\n", + " Parameters\n", + " ----------\n", + " df : pd.DataFrame\n", + " The final DataFrame containing metrics and diffs (floats).\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The final DataFrame containing metrics and diffs (str percentage).\n", + " \"\"\"\n", + " df_new = df.copy()\n", + " df_new[PERCENTAGE_COLUMNS] = df_new[PERCENTAGE_COLUMNS].map(\n", + " lambda x: \"{0:.2f}%\".format(x * 100) if not math.isnan(x) else x\n", + " )\n", + "\n", + " return df_new" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the DataFrame containing development and production metrics.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_prod = get_metrics(PROD_GLOB)\n", + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_prod.add_suffix(\"_prod\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Get DataFrame for differences >= 2%.\n", + "\n", + "- Get the relative differences for all metrics\n", + "- Filter down metrics to those with differences >= 2%\n", + " - If all cells in a row are NaN (< 2%), the entire row is dropped to make the results easier to parse.\n", + " - Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_prod)\n", + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine both DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = sort_columns(df_final)\n", + "df_final = update_diffs_to_pct(df_final)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Display final DataFrame and review results.\n", + "\n", + "- Red cells are differences >= 2%\n", + "- `nan` cells are differences < 2% and **should be ignored**\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + 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 var_keymetrictest_devtest_prodtest DIFF (%)ref_devref_prodref DIFF (%)test_regrid_devtest_regrid_prodtest_regrid DIFF (%)ref_regrid_devref_regrid_prodref_regrid DIFF (%)diff_devdiff_proddiff DIFF (%)misc_devmisc_prodmisc DIFF (%)
0FLUTmax299.911864299.355074nan300.162128299.776167nan299.911864299.355074nan300.162128299.776167nan9.4923599.7888093.12%nannannan
1FLUTmin124.610884125.987072nan122.878196124.148986nan124.610884125.987072nan122.878196124.148986nan-15.505809-17.0323259.84%nannannan
2FSNSmax269.789702269.798166nan272.722362272.184917nan269.789702269.798166nan272.722362272.184917nan20.64792924.85985220.40%nannannan
3FSNSmin16.89742317.7608895.11%16.71013416.2370612.83%16.89742317.7608895.11%16.71013416.2370612.83%-28.822277-28.324921nannannannan
4FSNTOAmax360.624327360.209193nan362.188816361.778529nan360.624327360.209193nan362.188816361.778529nan18.60227622.62426621.62%nannannan
5FSNTOAmean239.859777240.001860nan241.439641241.544384nan239.859777240.001860nan241.439641241.544384nan-1.579864-1.5425242.36%nannannan
6FSNTOAmin44.90704148.2568187.46%47.22350250.3396086.60%44.90704148.2568187.46%47.22350250.3396086.60%-23.576184-23.171864nannannannan
7LHFLXmax282.280453289.0799402.41%275.792933276.297281nan282.280453289.0799402.41%275.792933276.297281nan47.53550353.16892411.85%nannannan
8LHFLXmean88.37960988.470270nan88.96955088.976266nan88.37960988.470270nan88.96955088.976266nan-0.589942-0.50599614.23%nannannan
9LHFLXmin-0.878371-0.54924837.47%-1.176561-0.94611019.59%-0.878371-0.54924837.47%-1.176561-0.94611019.59%-34.375924-33.902769nannannannan
10LWCFmax78.49365377.473220nan86.12195984.993825nan78.49365377.473220nan86.12195984.993825nan9.61605710.79610412.27%nannannan
11LWCFmean24.37322424.370539nan24.40669724.391579nan24.37322424.370539nan24.40669724.391579nan-0.033473-0.02104037.14%nannannan
12LWCFmin-0.667812-0.6171077.59%-1.360010-1.18178713.10%-0.667812-0.6171077.59%-1.360010-1.18178713.10%-10.574643-10.1451884.06%nannannan
13NETCFmax13.22460412.6218254.56%13.71543813.2327163.52%13.22460412.6218254.56%13.71543813.2327163.52%10.89934410.2848255.64%nannannan
14NETCFmin-66.633044-66.008633nan-64.832041-67.3980473.96%-66.633044-66.008633nan-64.832041-67.3980473.96%-17.923932-17.940099nannannannan
15NET_FLUX_SRFmax155.691338156.424180nan166.556120166.506173nan155.691338156.424180nan166.556120166.506173nan59.81944961.6728243.10%nannannan
16NET_FLUX_SRFmean0.3940160.51633031.04%-0.0681860.068584200.58%0.3940160.51633031.04%-0.0681860.068584200.58%0.4622020.4477463.13%nannannan
17NET_FLUX_SRFmin-284.505205-299.5050245.27%-280.893287-290.2029343.31%-284.505205-299.5050245.27%-280.893287-290.2029343.31%-75.857589-85.85208913.18%nannannan
18PRECTmax17.28995117.071276nan20.26486220.138274nan17.28995117.071276nan20.26486220.138274nan2.3441112.4066252.67%nannannan
19PRECTmean3.0538023.056760nan3.0748853.074978nan3.0538023.056760nan3.0748853.074978nan-0.021083-0.01821813.59%nannannan
20PSLmin970.981710971.390765nan973.198437973.235326nan970.981710971.390765nan973.198437973.235326nan-6.328677-6.1046103.54%nannannan
21PSLrmsenannannannannannannannannannannannannannannan1.0428840.9799816.03%
22RESTOMmax84.29550283.821906nan87.70794487.451262nan84.29550283.821906nan87.70794487.451262nan17.39628321.42361623.15%nannannan
23RESTOMmean0.4815490.65656036.34%0.0180410.162984803.40%0.4815490.65656036.34%0.0180410.162984803.40%0.4635080.4935766.49%nannannan
24RESTOMmin-127.667181-129.014673nan-127.417586-128.673508nan-127.667181-129.014673nan-127.417586-128.673508nan-15.226249-14.8696142.34%nannannan
25SHFLXmax114.036895112.859646nan116.870038116.432591nan114.036895112.859646nan116.870038116.432591nan28.32065627.5567552.70%nannannan
26SHFLXmin-88.650312-88.386947nan-85.809438-85.480377nan-88.650312-88.386947nan-85.809438-85.480377nan-27.776625-28.3630532.11%nannannan
27SSTmin-1.788055-1.788055nan-1.676941-1.676941nan-1.788055-1.788055nan-1.676941-1.676941nan-4.513070-2.99327233.68%nannannan
28SWCFmax-0.518025-0.5368443.63%-0.311639-0.3316166.41%-0.518025-0.5368443.63%-0.311639-0.3316166.41%11.66893912.0870773.58%nannannan
29SWCFmin-123.625017-122.042043nan-131.053537-130.430161nan-123.625017-122.042043nan-131.053537-130.430161nan-21.415249-20.8089732.83%nannannan
30TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.9817575.1261852.90%nannannan
31TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.8678555.1261852.90%nannannan
32TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.9817575.1261855.31%nannannan
33TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.8678555.1261855.31%nannannan
34TREFHTmean14.76994614.741707nan13.84201313.800258nan14.76994614.741707nan13.84201313.800258nan0.9279330.9414492.28%nannannan
35TREFHTmean9.2142249.114572nan8.0833497.957917nan9.2142249.114572nan8.0833497.957917nan1.1308761.1566552.28%nannannan
36TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
37TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
38TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
39TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
40TREFHTrmsenannannannannannannannannannannannannannannan1.1607181.1799952.68%
41TREFHTrmsenannannannannannannannannannannannannannannan1.3431691.3791412.68%
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_final.reset_index(names=[\"var_key\", \"metric\"]).style.map(\n", + " lambda x: \"background-color : red\" if isinstance(x, str) else \"\",\n", + " subset=pd.IndexSlice[:, PERCENTAGE_COLUMNS],\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/conda-env/ci.yml b/conda-env/ci.yml index 46f88d448..9c2de5536 100644 --- a/conda-env/ci.yml +++ b/conda-env/ci.yml @@ -26,6 +26,9 @@ dependencies: - numpy >=1.23.0 - shapely >=2.0.0,<3.0.0 - xarray >=2023.02.0 + - xcdat >=0.6.0 + - xesmf >=0.7.0 + - xskillscore >=0.0.20 # Testing # ================== - scipy diff --git a/conda-env/dev-nompi.yml b/conda-env/dev-nompi.yml index b73bc33bc..2db6600e0 100644 --- a/conda-env/dev-nompi.yml +++ b/conda-env/dev-nompi.yml @@ -29,6 +29,9 @@ dependencies: - numpy >=1.23.0 - shapely >=2.0.0,<3.0.0 - xarray >=2023.02.0 + - xcdat >=0.6.0 + - xesmf >=0.7.0 + - xskillscore >=0.0.20 # Testing # ======================= - scipy diff --git a/conda-env/dev.yml b/conda-env/dev.yml index 1d07735c1..69061fb20 100644 --- a/conda-env/dev.yml +++ b/conda-env/dev.yml @@ -5,7 +5,7 @@ channels: - defaults dependencies: # Base - # ================= + # ======================= - python >=3.9 - pip - beautifulsoup4 @@ -24,6 +24,9 @@ dependencies: - numpy >=1.23.0 - shapely >=2.0.0,<3.0.0 - xarray >=2023.02.0 + - xcdat >=0.6.0 + - xesmf >=0.7.0 + - xskillscore >=0.0.20 # Testing # ======================= - scipy diff --git a/e3sm_diags/derivations/default_regions.py b/e3sm_diags/derivations/default_regions.py index 350ac402b..b485789e2 100644 --- a/e3sm_diags/derivations/default_regions.py +++ b/e3sm_diags/derivations/default_regions.py @@ -1,3 +1,7 @@ +""" +WARNING: This module will be deprecated and replaced with +`default_regions_xr.py` once all diagnostic sets are refactored to use that file. +""" import cdutil regions_specs = { diff --git a/e3sm_diags/derivations/default_regions_xr.py b/e3sm_diags/derivations/default_regions_xr.py new file mode 100644 index 000000000..b5a001cad --- /dev/null +++ b/e3sm_diags/derivations/default_regions_xr.py @@ -0,0 +1,94 @@ +"""Module for defining regions used for spatial subsetting. + +NOTE: Replaces `e3sm_diags.derivations.default_regions`. +""" + +# A dictionary storing the specifications for each region. +# "lat": The latitude domain for subsetting a variable, (lon_west, lon_east). +# "lon": The longitude domain for subsetting a variable (lat_west, lat_east). +# "value": The lower limit for masking. +REGION_SPECS = { + "global": {}, + "NHEX": {"lat": (30.0, 90)}, + "SHEX": {"lat": (-90.0, -30)}, + "TROPICS": {"lat": (-30.0, 30)}, + "TRMM_region": {"lat": (-38.0, 38)}, + "90S50S": {"lat": (-90.0, -50)}, + "50S20S": {"lat": (-50.0, -20)}, + "20S20N": {"lat": (-20.0, 20)}, + "50S50N": {"lat": (-50.0, 50)}, + "5S5N": {"lat": (-5.0, 5)}, + "20N50N": {"lat": (20.0, 50)}, + "50N90N": {"lat": (50.0, 90)}, + "60S90N": {"lat": (-60.0, 90)}, + "60S60N": {"lat": (-60.0, 60)}, + "75S75N": {"lat": (-75.0, 75)}, + "ocean": {"value": 0.65}, + "ocean_seaice": {"value": 0.65}, + "land": {"value": 0.65}, + "land_60S90N": {"value": 0.65, "lat": (-60.0, 90)}, + "ocean_TROPICS": {"value": 0.65, "lat": (-30.0, 30)}, + "land_NHEX": {"value": 0.65, "lat": (30.0, 90)}, + "land_SHEX": {"value": 0.65, "lat": (-90.0, -30)}, + "land_TROPICS": {"value": 0.65, "lat": (-30.0, 30)}, + "ocean_NHEX": {"value": 0.65, "lat": (30.0, 90)}, + "ocean_SHEX": {"value": 0.65, "lat": (-90.0, -30)}, + # follow AMWG polar range,more precise selector + "polar_N": {"lat": (50.0, 90.0)}, + "polar_S": {"lat": (-90.0, -55.0)}, + # To match AMWG results, the bounds is not as precise in this case + # 'polar_N_AMWG':{'domain': Selector("lat":(50., 90.))}, + # 'polar_S_AMWG':{'domain': Selector("lat":(-90., -55.))}, + # Below is for modes of variability + "NAM": {"lat": (20.0, 90), "lon": (-180, 180)}, + "NAO": {"lat": (20.0, 80), "lon": (-90, 40)}, + "SAM": {"lat": (-20.0, -90), "lon": (0, 360)}, + "PNA": {"lat": (20.0, 85), "lon": (120, 240)}, + "PDO": {"lat": (20.0, 70), "lon": (110, 260)}, + # Below is for monsoon domains + # All monsoon domains + "AllM": {"lat": (-45.0, 45.0), "lon": (0.0, 360.0)}, + # North American Monsoon + "NAMM": {"lat": (0, 45.0), "lon": (210.0, 310.0)}, + # South American Monsoon + "SAMM": {"lat": (-45.0, 0.0), "lon": (240.0, 330.0)}, + # North African Monsoon + "NAFM": {"lat": (0.0, 45.0), "lon": (310.0, 60.0)}, + # South African Monsoon + "SAFM": {"lat": (-45.0, 0.0), "lon": (0.0, 90.0)}, + # Asian Summer Monsoon + "ASM": {"lat": (0.0, 45.0), "lon": (60.0, 180.0)}, + # Australian Monsoon + "AUSM": {"lat": (-45.0, 0.0), "lon": (90.0, 160.0)}, + # Below is for NINO domains. + "NINO3": {"lat": (-5.0, 5.0), "lon": (210.0, 270.0)}, + "NINO34": {"lat": (-5.0, 5.0), "lon": (190.0, 240.0)}, + "NINO4": {"lat": (-5.0, 5.0), "lon": (160.0, 210.0)}, + # Below is for additional domains for diurnal cycle of precipitation + "W_Pacific": {"lat": (-20.0, 20.0), "lon": (90.0, 180.0)}, + "CONUS": {"lat": (25.0, 50.0), "lon": (-125.0, -65.0)}, + "Amazon": {"lat": (-20.0, 5.0), "lon": (-80.0, -45.0)}, + # Below is for RRM(regionally refined model) domains. + # 'CONUS_RRM': {'domain': "lat":(20., 50., 'ccb'), "lon":(-125., -65., 'ccb'))},For RRM dataset, negative value won't work + "CONUS_RRM": {"lat": (20.0, 50.0), "lon": (235.0, 295.0)}, + # Below is for debugging. A smaller latitude range reduces processing time. + "DEBUG": {"lat": (-2.0, 2)}, +} + +# A dictionary storing ARM site specifications with specific coordinates. +# Select nearest grid point to ARM site coordinate. +# "lat": The latitude point. +# "lon": The longitude point. +# "description": The description of the ARM site. +ARM_SITE_SPECS = { + "sgpc1": {"lat": 36.4, "lon": -97.5, "description": "97.5W 36.4N Oklahoma ARM"}, + "nsac1": {"lat": 71.3, "lon": -156.6, "description": "156.6W 71.3N Barrow ARM"}, + "twpc1": {"lat": -2.1, "lon": 147.4, "description": "147.4E 2.1S Manus ARM"}, + "twpc2": {"lat": -0.5, "lon": 166.9, "description": "166.9E 0.5S Nauru ARM"}, + "twpc3": {"lat": -12.4, "lon": 130.9, "description": "130.9E 12.4S Darwin ARM"}, + "enac1": { + "lat": 39.1, + "lon": -28.0, + "description": "28.0E 39.1N Graciosa Island ARM", + }, +} diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py new file mode 100644 index 000000000..ef29ae471 --- /dev/null +++ b/e3sm_diags/derivations/derivations.py @@ -0,0 +1,1484 @@ +"""This module stores definitions for derived variables. + +`DERIVED_VARIABLES` is a dictionary that stores definitions for derived +variables. The driver uses the Dataset class to search for available variable +keys and attempts to map them to a formula function to calculate a derived +variable. + +For example to derive 'PRECT': + 1. In `DERIVED_VARIABLE` there is an entry for 'PRECT'. + 2. The netCDF file does not have a 'PRECT' variable, but has the 'PRECC' + and 'PRECT' variables. + 3. 'PRECC' and 'PRECL' are used to derive `PRECT` by passing the + data for these variables to the formula function 'prect()'. +""" +from collections import OrderedDict +from typing import Callable, Dict, Tuple + +from e3sm_diags.derivations.formulas import ( + albedo, + albedo_srf, + albedoc, + fldsc, + flus, + fp_uptake, + fsus, + lwcf, + lwcfsrf, + molec_convert_units, + netcf2, + netcf2srf, + netcf4, + netcf4srf, + netflux4, + netflux6, + netlw, + netsw, + pminuse_convert_units, + precst, + prect, + qflx_convert_to_lhflx, + qflx_convert_to_lhflx_approxi, + qflxconvert_units, + restoa, + restom, + rst, + rstcs, + swcf, + swcfsrf, + tauxy, + tref_range, + w_convert_q, +) +from e3sm_diags.derivations.utils import ( + _apply_land_sea_mask, + aplusb, + convert_units, + cosp_bin_sum, + cosp_histogram_standardize, + rename, +) + +# A type annotation ordered dictionary that maps a tuple of source variable(s) +# to a derivation function. +DerivedVariableMap = OrderedDict[Tuple[str, ...], Callable] + +# A type annotation for a dictionary mapping the key of a derived variable +# to an ordered dictionary that maps a tuple of source variable(s) to a +# derivation function. +DerivedVariablesMap = Dict[str, DerivedVariableMap] + + +DERIVED_VARIABLES: DerivedVariablesMap = { + "PRECT": OrderedDict( + [ + ( + ("PRECT",), + lambda pr: convert_units(rename(pr), target_units="mm/day"), + ), + (("pr",), lambda pr: qflxconvert_units(rename(pr))), + (("PRECC", "PRECL"), lambda precc, precl: prect(precc, precl)), + ] + ), + "PRECST": OrderedDict( + [ + (("prsn",), lambda prsn: qflxconvert_units(rename(prsn))), + ( + ("PRECSC", "PRECSL"), + lambda precsc, precsl: precst(precsc, precsl), + ), + ] + ), + # Sea Surface Temperature: Degrees C + # Temperature of the water, not the air. Ignore land. + "SST": OrderedDict( + [ + # lambda sst: convert_units(rename(sst),target_units="degC")), + (("sst",), rename), + ( + ("TS", "OCNFRAC"), + lambda ts, ocnfrac: _apply_land_sea_mask( + convert_units(ts, target_units="degC"), + ocnfrac, + lower_limit=0.9, + ), + ), + (("SST",), lambda sst: convert_units(sst, target_units="degC")), + ] + ), + "TMQ": OrderedDict( + [ + (("PREH2O",), rename), + ( + ("prw",), + lambda prw: convert_units(rename(prw), target_units="kg/m2"), + ), + ] + ), + "SOLIN": OrderedDict([(("rsdt",), rename)]), + "ALBEDO": OrderedDict( + [ + (("ALBEDO",), rename), + ( + ("SOLIN", "FSNTOA"), + lambda solin, fsntoa: albedo(solin, solin - fsntoa), + ), + (("rsdt", "rsut"), lambda rsdt, rsut: albedo(rsdt, rsut)), + ] + ), + "ALBEDOC": OrderedDict( + [ + (("ALBEDOC",), rename), + ( + ("SOLIN", "FSNTOAC"), + lambda solin, fsntoac: albedoc(solin, solin - fsntoac), + ), + (("rsdt", "rsutcs"), lambda rsdt, rsutcs: albedoc(rsdt, rsutcs)), + ] + ), + "ALBEDO_SRF": OrderedDict( + [ + (("ALBEDO_SRF",), rename), + (("rsds", "rsus"), lambda rsds, rsus: albedo_srf(rsds, rsus)), + ( + ("FSDS", "FSNS"), + lambda fsds, fsns: albedo_srf(fsds, fsds - fsns), + ), + ] + ), + # Pay attention to the positive direction of SW and LW fluxes + "SWCF": OrderedDict( + [ + (("SWCF",), rename), + ( + ("toa_net_sw_all_mon", "toa_net_sw_clr_mon"), + lambda net_all, net_clr: swcf(net_all, net_clr), + ), + ( + ("toa_net_sw_all_mon", "toa_net_sw_clr_t_mon"), + lambda net_all, net_clr: swcf(net_all, net_clr), + ), + (("toa_cre_sw_mon",), rename), + ( + ("FSNTOA", "FSNTOAC"), + lambda fsntoa, fsntoac: swcf(fsntoa, fsntoac), + ), + (("rsut", "rsutcs"), lambda rsutcs, rsut: swcf(rsut, rsutcs)), + ] + ), + "SWCFSRF": OrderedDict( + [ + (("SWCFSRF",), rename), + ( + ("sfc_net_sw_all_mon", "sfc_net_sw_clr_mon"), + lambda net_all, net_clr: swcfsrf(net_all, net_clr), + ), + ( + ("sfc_net_sw_all_mon", "sfc_net_sw_clr_t_mon"), + lambda net_all, net_clr: swcfsrf(net_all, net_clr), + ), + (("sfc_cre_net_sw_mon",), rename), + (("FSNS", "FSNSC"), lambda fsns, fsnsc: swcfsrf(fsns, fsnsc)), + ] + ), + "LWCF": OrderedDict( + [ + (("LWCF",), rename), + ( + ("toa_net_lw_all_mon", "toa_net_lw_clr_mon"), + lambda net_all, net_clr: lwcf(net_clr, net_all), + ), + ( + ("toa_net_lw_all_mon", "toa_net_lw_clr_t_mon"), + lambda net_all, net_clr: lwcf(net_clr, net_all), + ), + (("toa_cre_lw_mon",), rename), + ( + ("FLNTOA", "FLNTOAC"), + lambda flntoa, flntoac: lwcf(flntoa, flntoac), + ), + (("rlut", "rlutcs"), lambda rlutcs, rlut: lwcf(rlut, rlutcs)), + ] + ), + "LWCFSRF": OrderedDict( + [ + (("LWCFSRF",), rename), + ( + ("sfc_net_lw_all_mon", "sfc_net_lw_clr_mon"), + lambda net_all, net_clr: lwcfsrf(net_clr, net_all), + ), + ( + ("sfc_net_lw_all_mon", "sfc_net_lw_clr_t_mon"), + lambda net_all, net_clr: lwcfsrf(net_clr, net_all), + ), + (("sfc_cre_net_lw_mon",), rename), + (("FLNS", "FLNSC"), lambda flns, flnsc: lwcfsrf(flns, flnsc)), + ] + ), + "NETCF": OrderedDict( + [ + ( + ( + "toa_net_sw_all_mon", + "toa_net_sw_clr_mon", + "toa_net_lw_all_mon", + "toa_net_lw_clr_mon", + ), + lambda sw_all, sw_clr, lw_all, lw_clr: netcf4( + sw_all, sw_clr, lw_all, lw_clr + ), + ), + ( + ( + "toa_net_sw_all_mon", + "toa_net_sw_clr_t_mon", + "toa_net_lw_all_mon", + "toa_net_lw_clr_t_mon", + ), + lambda sw_all, sw_clr, lw_all, lw_clr: netcf4( + sw_all, sw_clr, lw_all, lw_clr + ), + ), + ( + ("toa_cre_sw_mon", "toa_cre_lw_mon"), + lambda swcf, lwcf: netcf2(swcf, lwcf), + ), + (("SWCF", "LWCF"), lambda swcf, lwcf: netcf2(swcf, lwcf)), + ( + ("FSNTOA", "FSNTOAC", "FLNTOA", "FLNTOAC"), + lambda fsntoa, fsntoac, flntoa, flntoac: netcf4( + fsntoa, fsntoac, flntoa, flntoac + ), + ), + ] + ), + "NETCF_SRF": OrderedDict( + [ + ( + ( + "sfc_net_sw_all_mon", + "sfc_net_sw_clr_mon", + "sfc_net_lw_all_mon", + "sfc_net_lw_clr_mon", + ), + lambda sw_all, sw_clr, lw_all, lw_clr: netcf4srf( + sw_all, sw_clr, lw_all, lw_clr + ), + ), + ( + ( + "sfc_net_sw_all_mon", + "sfc_net_sw_clr_t_mon", + "sfc_net_lw_all_mon", + "sfc_net_lw_clr_t_mon", + ), + lambda sw_all, sw_clr, lw_all, lw_clr: netcf4srf( + sw_all, sw_clr, lw_all, lw_clr + ), + ), + ( + ("sfc_cre_sw_mon", "sfc_cre_lw_mon"), + lambda swcf, lwcf: netcf2srf(swcf, lwcf), + ), + ( + ("FSNS", "FSNSC", "FLNSC", "FLNS"), + lambda fsns, fsnsc, flnsc, flns: netcf4srf(fsns, fsnsc, flnsc, flns), + ), + ] + ), + "FLNS": OrderedDict( + [ + ( + ("sfc_net_lw_all_mon",), + lambda sfc_net_lw_all_mon: -sfc_net_lw_all_mon, + ), + (("rlds", "rlus"), lambda rlds, rlus: netlw(rlds, rlus)), + ] + ), + "FLNSC": OrderedDict( + [ + ( + ("sfc_net_lw_clr_mon",), + lambda sfc_net_lw_clr_mon: -sfc_net_lw_clr_mon, + ), + ( + ("sfc_net_lw_clr_t_mon",), + lambda sfc_net_lw_clr_mon: -sfc_net_lw_clr_mon, + ), + ] + ), + "FLDS": OrderedDict([(("rlds",), rename)]), + "FLUS": OrderedDict( + [ + (("rlus",), rename), + (("FLDS", "FLNS"), lambda FLDS, FLNS: flus(FLDS, FLNS)), + ] + ), + "FLDSC": OrderedDict( + [ + (("rldscs",), rename), + (("TS", "FLNSC"), lambda ts, flnsc: fldsc(ts, flnsc)), + ] + ), + "FSNS": OrderedDict( + [ + (("sfc_net_sw_all_mon",), rename), + (("rsds", "rsus"), lambda rsds, rsus: netsw(rsds, rsus)), + ] + ), + "FSNSC": OrderedDict( + [ + (("sfc_net_sw_clr_mon",), rename), + (("sfc_net_sw_clr_t_mon",), rename), + ] + ), + "FSDS": OrderedDict([(("rsds",), rename)]), + "FSUS": OrderedDict( + [ + (("rsus",), rename), + (("FSDS", "FSNS"), lambda FSDS, FSNS: fsus(FSDS, FSNS)), + ] + ), + "FSUSC": OrderedDict([(("rsuscs",), rename)]), + "FSDSC": OrderedDict([(("rsdscs",), rename), (("rsdsc",), rename)]), + # Net surface heat flux: W/(m^2) + "NET_FLUX_SRF": OrderedDict( + [ + # A more precise formula to close atmospheric surface budget, than the second entry. + ( + ("FSNS", "FLNS", "QFLX", "PRECC", "PRECL", "PRECSC", "PRECSL", "SHFLX"), + lambda fsns, flns, qflx, precc, precl, precsc, precsl, shflx: netflux4( + fsns, + flns, + qflx_convert_to_lhflx(qflx, precc, precl, precsc, precsl), + shflx, + ), + ), + ( + ("FSNS", "FLNS", "LHFLX", "SHFLX"), + lambda fsns, flns, lhflx, shflx: netflux4(fsns, flns, lhflx, shflx), + ), + ( + ("FSNS", "FLNS", "QFLX", "SHFLX"), + lambda fsns, flns, qflx, shflx: netflux4( + fsns, flns, qflx_convert_to_lhflx_approxi(qflx), shflx + ), + ), + ( + ("rsds", "rsus", "rlds", "rlus", "hfls", "hfss"), + lambda rsds, rsus, rlds, rlus, hfls, hfss: netflux6( + rsds, rsus, rlds, rlus, hfls, hfss + ), + ), + ] + ), + "FLUT": OrderedDict([(("rlut",), rename)]), + "FSUTOA": OrderedDict([(("rsut",), rename)]), + "FSUTOAC": OrderedDict([(("rsutcs",), rename)]), + "FLNT": OrderedDict([(("FLNT",), rename)]), + "FLUTC": OrderedDict([(("rlutcs",), rename)]), + "FSNTOA": OrderedDict( + [ + (("FSNTOA",), rename), + (("rsdt", "rsut"), lambda rsdt, rsut: rst(rsdt, rsut)), + ] + ), + "FSNTOAC": OrderedDict( + [ + # Note: CERES_EBAF data in amwg obs sets misspells "units" as "lunits" + (("FSNTOAC",), rename), + (("rsdt", "rsutcs"), lambda rsdt, rsutcs: rstcs(rsdt, rsutcs)), + ] + ), + "RESTOM": OrderedDict( + [ + (("RESTOA",), rename), + (("toa_net_all_mon",), rename), + (("FSNT", "FLNT"), lambda fsnt, flnt: restom(fsnt, flnt)), + (("rtmt",), rename), + ] + ), + "RESTOA": OrderedDict( + [ + (("RESTOM",), rename), + (("toa_net_all_mon",), rename), + (("FSNT", "FLNT"), lambda fsnt, flnt: restoa(fsnt, flnt)), + (("rtmt",), rename), + ] + ), + "PRECT_LAND": OrderedDict( + [ + (("PRECIP_LAND",), rename), + # 0.5 just to match amwg + ( + ("PRECC", "PRECL", "LANDFRAC"), + lambda precc, precl, landfrac: _apply_land_sea_mask( + prect(precc, precl), landfrac, lower_limit=0.5 + ), + ), + ] + ), + "Z3": OrderedDict( + [ + ( + ("zg",), + lambda zg: convert_units(rename(zg), target_units="hectometer"), + ), + (("Z3",), lambda z3: convert_units(z3, target_units="hectometer")), + ] + ), + "PSL": OrderedDict( + [ + (("PSL",), lambda psl: convert_units(psl, target_units="mbar")), + (("psl",), lambda psl: convert_units(psl, target_units="mbar")), + ] + ), + "T": OrderedDict( + [ + (("ta",), rename), + (("T",), lambda t: convert_units(t, target_units="K")), + ] + ), + "U": OrderedDict( + [ + (("ua",), rename), + (("U",), lambda u: convert_units(u, target_units="m/s")), + ] + ), + "V": OrderedDict( + [ + (("va",), rename), + (("V",), lambda u: convert_units(u, target_units="m/s")), + ] + ), + "TREFHT": OrderedDict( + [ + (("TREFHT",), lambda t: convert_units(t, target_units="DegC")), + ( + ("TREFHT_LAND",), + lambda t: convert_units(t, target_units="DegC"), + ), + (("tas",), lambda t: convert_units(t, target_units="DegC")), + ] + ), + # Surface water flux: kg/((m^2)*s) + "QFLX": OrderedDict( + [ + (("evspsbl",), rename), + (("QFLX",), lambda qflx: qflxconvert_units(qflx)), + ] + ), + # Surface latent heat flux: W/(m^2) + "LHFLX": OrderedDict( + [ + (("hfls",), rename), + (("QFLX",), lambda qflx: qflx_convert_to_lhflx_approxi(qflx)), + ] + ), + "SHFLX": OrderedDict([(("hfss",), rename)]), + "TGCLDLWP_OCN": OrderedDict( + [ + ( + ("TGCLDLWP_OCEAN",), + lambda x: convert_units(x, target_units="g/m^2"), + ), + ( + ("TGCLDLWP", "OCNFRAC"), + lambda tgcldlwp, ocnfrac: _apply_land_sea_mask( + convert_units(tgcldlwp, target_units="g/m^2"), + ocnfrac, + lower_limit=0.65, + ), + ), + ] + ), + "PRECT_OCN": OrderedDict( + [ + ( + ("PRECT_OCEAN",), + lambda x: convert_units(x, target_units="mm/day"), + ), + ( + ("PRECC", "PRECL", "OCNFRAC"), + lambda a, b, ocnfrac: _apply_land_sea_mask( + aplusb(a, b, target_units="mm/day"), + ocnfrac, + lower_limit=0.65, + ), + ), + ] + ), + "PREH2O_OCN": OrderedDict( + [ + (("PREH2O_OCEAN",), lambda x: convert_units(x, target_units="mm")), + ( + ("TMQ", "OCNFRAC"), + lambda preh2o, ocnfrac: _apply_land_sea_mask( + preh2o, ocnfrac, lower_limit=0.65 + ), + ), + ] + ), + "CLDHGH": OrderedDict( + [(("CLDHGH",), lambda cldhgh: convert_units(cldhgh, target_units="%"))] + ), + "CLDLOW": OrderedDict( + [(("CLDLOW",), lambda cldlow: convert_units(cldlow, target_units="%"))] + ), + "CLDMED": OrderedDict( + [(("CLDMED",), lambda cldmed: convert_units(cldmed, target_units="%"))] + ), + "CLDTOT": OrderedDict( + [ + (("clt",), rename), + ( + ("CLDTOT",), + lambda cldtot: convert_units(cldtot, target_units="%"), + ), + ] + ), + "CLOUD": OrderedDict( + [ + (("cl",), rename), + ( + ("CLOUD",), + lambda cldtot: convert_units(cldtot, target_units="%"), + ), + ] + ), + # below for COSP output + # CLIPSO + "CLDHGH_CAL": OrderedDict( + [ + ( + ("CLDHGH_CAL",), + lambda cldhgh: convert_units(cldhgh, target_units="%"), + ) + ] + ), + "CLDLOW_CAL": OrderedDict( + [ + ( + ("CLDLOW_CAL",), + lambda cldlow: convert_units(cldlow, target_units="%"), + ) + ] + ), + "CLDMED_CAL": OrderedDict( + [ + ( + ("CLDMED_CAL",), + lambda cldmed: convert_units(cldmed, target_units="%"), + ) + ] + ), + "CLDTOT_CAL": OrderedDict( + [ + ( + ("CLDTOT_CAL",), + lambda cldtot: convert_units(cldtot, target_units="%"), + ) + ] + ), + # ISCCP + "CLDTOT_TAU1.3_ISCCP": OrderedDict( + [ + ( + ("FISCCP1_COSP",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" + ), + ), + ( + ("CLISCCP",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" + ), + ), + ] + ), + "CLDTOT_TAU1.3_9.4_ISCCP": OrderedDict( + [ + ( + ("FISCCP1_COSP",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" + ), + ), + ( + ("CLISCCP",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" + ), + ), + ] + ), + "CLDTOT_TAU9.4_ISCCP": OrderedDict( + [ + ( + ("FISCCP1_COSP",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" + ), + ), + ( + ("CLISCCP",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" + ), + ), + ] + ), + # MODIS + "CLDTOT_TAU1.3_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" + ), + ), + ] + ), + "CLDTOT_TAU1.3_9.4_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" + ), + ), + ] + ), + "CLDTOT_TAU9.4_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" + ), + ), + ] + ), + "CLDHGH_TAU1.3_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: convert_units( + cosp_bin_sum(cld, 440, 0, 1.3, None), target_units="%" + ), + ), + ] + ), + "CLDHGH_TAU1.3_9.4_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: convert_units( + cosp_bin_sum(cld, 440, 0, 1.3, 9.4), target_units="%" + ), + ), + ] + ), + "CLDHGH_TAU9.4_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: convert_units( + cosp_bin_sum(cld, 440, 0, 9.4, None), target_units="%" + ), + ), + ] + ), + # MISR + "CLDTOT_TAU1.3_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" + ), + ), + ( + ("CLMISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" + ), + ), + ] + ), + "CLDTOT_TAU1.3_9.4_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" + ), + ), + ( + ("CLMISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" + ), + ), + ] + ), + "CLDTOT_TAU9.4_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" + ), + ), + ( + ("CLMISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" + ), + ), + ] + ), + "CLDLOW_TAU1.3_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, 0, 3, 1.3, None), target_units="%" + ), + ), + ( + ("CLMISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, 0, 3, 1.3, None), target_units="%" + ), + ), + ] + ), + "CLDLOW_TAU1.3_9.4_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, 0, 3, 1.3, 9.4), target_units="%" + ), + ), + ( + ("CLMISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, 0, 3, 1.3, 9.4), target_units="%" + ), + ), + ] + ), + "CLDLOW_TAU9.4_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, 0, 3, 9.4, None), target_units="%" + ), + ), + ( + ("CLMISR",), + lambda cld: convert_units( + cosp_bin_sum(cld, 0, 3, 9.4, None), target_units="%" + ), + ), + ] + ), + # COSP cloud fraction joint histogram + "COSP_HISTOGRAM_MISR": OrderedDict( + [ + ( + ("CLD_MISR",), + lambda cld: cosp_histogram_standardize(rename(cld)), + ), + (("CLMISR",), lambda cld: cosp_histogram_standardize(rename(cld))), + ] + ), + "COSP_HISTOGRAM_MODIS": OrderedDict( + [ + ( + ("CLMODIS",), + lambda cld: cosp_histogram_standardize(rename(cld)), + ), + ] + ), + "COSP_HISTOGRAM_ISCCP": OrderedDict( + [ + ( + ("FISCCP1_COSP",), + lambda cld: cosp_histogram_standardize(rename(cld)), + ), + ( + ("CLISCCP",), + lambda cld: cosp_histogram_standardize(rename(cld)), + ), + ] + ), + "ICEFRAC": OrderedDict( + [ + ( + ("ICEFRAC",), + lambda icefrac: convert_units(icefrac, target_units="%"), + ) + ] + ), + "RELHUM": OrderedDict( + [ + (("hur",), lambda hur: convert_units(hur, target_units="%")), + ( + ("RELHUM",), + lambda relhum: convert_units(relhum, target_units="%"), + ) + # (('RELHUM',), rename) + ] + ), + "OMEGA": OrderedDict( + [ + ( + ("wap",), + lambda wap: convert_units(wap, target_units="mbar/day"), + ), + ( + ("OMEGA",), + lambda omega: convert_units(omega, target_units="mbar/day"), + ), + ] + ), + "Q": OrderedDict( + [ + ( + ("hus",), + lambda q: convert_units(rename(q), target_units="g/kg"), + ), + (("Q",), lambda q: convert_units(rename(q), target_units="g/kg")), + (("SHUM",), lambda shum: convert_units(shum, target_units="g/kg")), + ] + ), + "H2OLNZ": OrderedDict( + [ + ( + ("hus",), + lambda q: convert_units(rename(q), target_units="g/kg"), + ), + (("H2OLNZ",), lambda h2o: w_convert_q(h2o)), + ] + ), + "TAUXY": OrderedDict( + [ + (("TAUX", "TAUY"), lambda taux, tauy: tauxy(taux, tauy)), + (("tauu", "tauv"), lambda taux, tauy: tauxy(taux, tauy)), + ] + ), + "AODVIS": OrderedDict( + [ + (("od550aer",), rename), + ( + ("AODVIS",), + lambda aod: convert_units(rename(aod), target_units="dimensionless"), + ), + ( + ("AOD_550",), + lambda aod: convert_units(rename(aod), target_units="dimensionless"), + ), + ( + ("TOTEXTTAU",), + lambda aod: convert_units(rename(aod), target_units="dimensionless"), + ), + ( + ("AOD_550_ann",), + lambda aod: convert_units(rename(aod), target_units="dimensionless"), + ), + ] + ), + "AODABS": OrderedDict([(("abs550aer",), rename)]), + "AODDUST": OrderedDict( + [ + ( + ("AODDUST",), + lambda aod: convert_units(rename(aod), target_units="dimensionless"), + ) + ] + ), + # Surface temperature: Degrees C + # (Temperature of the surface (land/water) itself, not the air) + "TS": OrderedDict([(("ts",), rename)]), + "PS": OrderedDict([(("ps",), rename)]), + "U10": OrderedDict([(("sfcWind",), rename)]), + "QREFHT": OrderedDict([(("huss",), rename)]), + "PRECC": OrderedDict([(("prc",), rename)]), + "TAUX": OrderedDict([(("tauu",), lambda tauu: -tauu)]), + "TAUY": OrderedDict([(("tauv",), lambda tauv: -tauv)]), + "CLDICE": OrderedDict([(("cli",), rename)]), + "TGCLDIWP": OrderedDict([(("clivi",), rename)]), + "CLDLIQ": OrderedDict([(("clw",), rename)]), + "TGCLDCWP": OrderedDict([(("clwvi",), rename)]), + "O3": OrderedDict([(("o3",), rename)]), + "PminusE": OrderedDict( + [ + (("PminusE",), lambda pminuse: pminuse_convert_units(pminuse)), + ( + ( + "PRECC", + "PRECL", + "QFLX", + ), + lambda precc, precl, qflx: pminuse_convert_units( + prect(precc, precl) - pminuse_convert_units(qflx) + ), + ), + ( + ("F_prec", "F_evap"), + lambda pr, evspsbl: pminuse_convert_units(pr + evspsbl), + ), + ( + ("pr", "evspsbl"), + lambda pr, evspsbl: pminuse_convert_units(pr - evspsbl), + ), + ] + ), + "TREFMNAV": OrderedDict( + [ + (("TREFMNAV",), lambda t: convert_units(t, target_units="DegC")), + (("tasmin",), lambda t: convert_units(t, target_units="DegC")), + ] + ), + "TREFMXAV": OrderedDict( + [ + (("TREFMXAV",), lambda t: convert_units(t, target_units="DegC")), + (("tasmax",), lambda t: convert_units(t, target_units="DegC")), + ] + ), + "TREF_range": OrderedDict( + [ + ( + ( + "TREFMXAV", + "TREFMNAV", + ), + lambda tmax, tmin: tref_range(tmax, tmin), + ), + ( + ( + "tasmax", + "tasmin", + ), + lambda tmax, tmin: tref_range(tmax, tmin), + ), + ] + ), + "TCO": OrderedDict([(("TCO",), rename)]), + "SCO": OrderedDict([(("SCO",), rename)]), + "bc_DDF": OrderedDict( + [ + (("bc_DDF",), rename), + ( + ( + "bc_a?DDF", + "bc_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "bc_SFWET": OrderedDict( + [ + (("bc_SFWET",), rename), + ( + ( + "bc_a?SFWET", + "bc_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "SFbc": OrderedDict( + [ + (("SFbc",), rename), + (("SFbc_a?",), lambda *x: sum(x)), + ] + ), + "bc_CLXF": OrderedDict( + [ + (("bc_CLXF",), rename), + (("bc_a?_CLXF",), lambda *x: molec_convert_units(sum(x), 12.0)), + ] + ), + "Mass_bc": OrderedDict( + [ + (("Mass_bc",), rename), + ] + ), + "dst_DDF": OrderedDict( + [ + (("dst_DDF",), rename), + ( + ( + "dst_a?DDF", + "dst_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "dst_SFWET": OrderedDict( + [ + (("dst_SFWET",), rename), + ( + ( + "dst_a?SFWET", + "dst_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "SFdst": OrderedDict( + [ + (("SFdst",), rename), + (("SFdst_a?",), lambda *x: sum(x)), + ] + ), + "Mass_dst": OrderedDict( + [ + (("Mass_dst",), rename), + ] + ), + "mom_DDF": OrderedDict( + [ + (("mom_DDF",), rename), + ( + ( + "mom_a?DDF", + "mom_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "mom_SFWET": OrderedDict( + [ + (("mom_SFWET",), rename), + ( + ( + "mom_a?SFWET", + "mom_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "SFmom": OrderedDict( + [ + (("SFmom",), rename), + (("SFmom_a?",), lambda *x: sum(x)), + ] + ), + "Mass_mom": OrderedDict( + [ + (("Mass_mom",), rename), + ] + ), + "ncl_DDF": OrderedDict( + [ + (("ncl_DDF",), rename), + ( + ( + "ncl_a?DDF", + "ncl_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "ncl_SFWET": OrderedDict( + [ + (("ncl_SFWET",), rename), + ( + ( + "ncl_a?SFWET", + "ncl_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "SFncl": OrderedDict( + [ + (("SFncl",), rename), + (("SFncl_a?",), lambda *x: sum(x)), + ] + ), + "Mass_ncl": OrderedDict( + [ + (("Mass_ncl",), rename), + ] + ), + "so4_DDF": OrderedDict( + [ + (("so4_DDF",), rename), + ( + ( + "so4_a?DDF", + "so4_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "so4_SFWET": OrderedDict( + [ + (("so4_SFWET",), rename), + ( + ( + "so4_a?SFWET", + "so4_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "so4_CLXF": OrderedDict( + [ + (("so4_CLXF",), rename), + ( + ("so4_a?_CLXF",), + lambda *x: molec_convert_units(sum(x), 115.0), + ), + ] + ), + "SFso4": OrderedDict( + [ + (("SFso4",), rename), + (("SFso4_a?",), lambda *x: sum(x)), + ] + ), + "Mass_so4": OrderedDict( + [ + (("Mass_so4",), rename), + ] + ), + "soa_DDF": OrderedDict( + [ + (("soa_DDF",), rename), + ( + ( + "soa_a?DDF", + "soa_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "soa_SFWET": OrderedDict( + [ + (("soa_SFWET",), rename), + ( + ( + "soa_a?SFWET", + "soa_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "SFsoa": OrderedDict( + [ + (("SFsoa",), rename), + (("SFsoa_a?",), lambda *x: sum(x)), + ] + ), + "Mass_soa": OrderedDict( + [ + (("Mass_soa",), rename), + ] + ), + "pom_DDF": OrderedDict( + [ + (("pom_DDF",), rename), + ( + ( + "pom_a?DDF", + "pom_c?DDF", + ), + lambda *x: sum(x), + ), + ] + ), + "pom_SFWET": OrderedDict( + [ + (("pom_SFWET",), rename), + ( + ( + "pom_a?SFWET", + "pom_c?SFWET", + ), + lambda *x: sum(x), + ), + ] + ), + "SFpom": OrderedDict( + [ + (("SFpom",), rename), + (("SFpom_a?",), lambda *x: sum(x)), + ] + ), + "pom_CLXF": OrderedDict( + [ + (("pom_CLXF",), rename), + (("pom_a?_CLXF",), lambda *x: molec_convert_units(sum(x), 12.0)), + ] + ), + "Mass_pom": OrderedDict( + [ + (("Mass_pom",), rename), + ] + ), + # Land variables + "SOILWATER_10CM": OrderedDict([(("mrsos",), rename)]), + "SOILWATER_SUM": OrderedDict([(("mrso",), rename)]), + "SOILICE_SUM": OrderedDict([(("mrfso",), rename)]), + "QRUNOFF": OrderedDict( + [ + (("QRUNOFF",), lambda qrunoff: qflxconvert_units(qrunoff)), + (("mrro",), lambda qrunoff: qflxconvert_units(qrunoff)), + ] + ), + "QINTR": OrderedDict([(("prveg",), rename)]), + "QVEGE": OrderedDict( + [ + (("QVEGE",), lambda qevge: qflxconvert_units(rename(qevge))), + (("evspsblveg",), lambda qevge: qflxconvert_units(rename(qevge))), + ] + ), + "QVEGT": OrderedDict( + [ + (("QVEGT",), lambda qevgt: qflxconvert_units(rename(qevgt))), + ] + ), + "QSOIL": OrderedDict( + [ + (("QSOIL",), lambda qsoil: qflxconvert_units(rename(qsoil))), + (("evspsblsoi",), lambda qsoil: qflxconvert_units(rename(qsoil))), + ] + ), + "QDRAI": OrderedDict( + [ + (("QDRAI",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QINFL": OrderedDict( + [ + (("QINFL",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QIRRIG_GRND": OrderedDict( + [ + (("QIRRIG_GRND",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QIRRIG_ORIG": OrderedDict( + [ + (("QIRRIG_ORIG",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QIRRIG_REAL": OrderedDict( + [ + (("QIRRIG_REAL",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QIRRIG_SURF": OrderedDict( + [ + (("QIRRIG_SURF",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QIRRIG_WM": OrderedDict( + [ + (("QIRRIG_WM",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QOVER": OrderedDict( + [ + (("QOVER",), lambda q: qflxconvert_units(rename(q))), + (("mrros",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "QRGWL": OrderedDict( + [ + (("QRGWL",), lambda q: qflxconvert_units(rename(q))), + ] + ), + "RAIN": OrderedDict( + [ + (("RAIN",), lambda rain: qflxconvert_units(rename(rain))), + ] + ), + "SNOW": OrderedDict( + [ + (("SNOW",), lambda snow: qflxconvert_units(rename(snow))), + ] + ), + "TRAN": OrderedDict([(("tran",), rename)]), + "TSOI": OrderedDict([(("tsl",), rename)]), + "LAI": OrderedDict([(("lai",), rename)]), + # Additional land variables requested by BGC evaluation + "FAREA_BURNED": OrderedDict( + [ + ( + ("FAREA_BURNED",), + lambda v: convert_units(v, target_units="proportionx10^9"), + ) + ] + ), + "FLOODPLAIN_VOLUME": OrderedDict( + [(("FLOODPLAIN_VOLUME",), lambda v: convert_units(v, target_units="km3"))] + ), + "TLAI": OrderedDict([(("TLAI",), rename)]), + "EFLX_LH_TOT": OrderedDict([(("EFLX_LH_TOT",), rename)]), + "GPP": OrderedDict( + [(("GPP",), lambda v: convert_units(v, target_units="g*/m^2/day"))] + ), + "HR": OrderedDict( + [(("HR",), lambda v: convert_units(v, target_units="g*/m^2/day"))] + ), + "NBP": OrderedDict( + [(("NBP",), lambda v: convert_units(v, target_units="g*/m^2/day"))] + ), + "NPP": OrderedDict( + [(("NPP",), lambda v: convert_units(v, target_units="g*/m^2/day"))] + ), + "TOTVEGC": OrderedDict( + [(("TOTVEGC",), lambda v: convert_units(v, target_units="kgC/m^2"))] + ), + "TOTSOMC": OrderedDict( + [(("TOTSOMC",), lambda v: convert_units(v, target_units="kgC/m^2"))] + ), + "TOTSOMN": OrderedDict([(("TOTSOMN",), rename)]), + "TOTSOMP": OrderedDict([(("TOTSOMP",), rename)]), + "FPG": OrderedDict([(("FPG",), rename)]), + "FPG_P": OrderedDict([(("FPG_P",), rename)]), + "TBOT": OrderedDict([(("TBOT",), rename)]), + "CPOOL": OrderedDict( + [(("CPOOL",), lambda v: convert_units(v, target_units="kgC/m^2"))] + ), + "LEAFC": OrderedDict( + [(("LEAFC",), lambda v: convert_units(v, target_units="kgC/m^2"))] + ), + "SR": OrderedDict([(("SR",), lambda v: convert_units(v, target_units="kgC/m^2"))]), + "RH2M": OrderedDict([(("RH2M",), rename)]), + "DENIT": OrderedDict( + [(("DENIT",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] + ), + "GROSS_NMIN": OrderedDict( + [(("GROSS_NMIN",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] + ), + "GROSS_PMIN": OrderedDict( + [(("GROSS_PMIN",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] + ), + "NDEP_TO_SMINN": OrderedDict( + [ + ( + ("NDEP_TO_SMINN",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "NFIX_TO_SMINN": OrderedDict( + [ + ( + ("NFIX_TO_SMINN",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "PLANT_NDEMAND_COL": OrderedDict( + [ + ( + ("PLANT_NDEMAND_COL",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "PLANT_PDEMAND_COL": OrderedDict( + [ + ( + ("PLANT_PDEMAND_COL",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "SMINN_TO_PLANT": OrderedDict( + [ + ( + ("SMINN_TO_PLANT",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "SMINP_TO_PLANT": OrderedDict( + [ + ( + ("SMINP_TO_PLANT",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "SMIN_NO3_LEACHED": OrderedDict( + [ + ( + ("SMIN_NO3_LEACHED",), + lambda v: convert_units(v, target_units="mg*/m^2/day"), + ) + ] + ), + "FP_UPTAKE": OrderedDict( + [ + (("FP_UPTAKE",), rename), + ( + ("SMINN_TO_PLANT", "PLANT_NDEMAND_COL"), + lambda a, b: fp_uptake(a, b), + ), + ] + ), + # Ocean variables + "tauuo": OrderedDict([(("tauuo",), rename)]), + "tos": OrderedDict([(("tos",), rename)]), + "thetaoga": OrderedDict([(("thetaoga",), rename)]), + "hfsifrazil": OrderedDict([(("hfsifrazil",), rename)]), + "sos": OrderedDict([(("sos",), rename)]), + "soga": OrderedDict([(("soga",), rename)]), + "tosga": OrderedDict([(("tosga",), rename)]), + "wo": OrderedDict([(("wo",), rename)]), + "thetao": OrderedDict([(("thetao",), rename)]), + "masscello": OrderedDict([(("masscello",), rename)]), + "wfo": OrderedDict([(("wfo",), rename)]), + "tauvo": OrderedDict([(("tauvo",), rename)]), + "vo": OrderedDict([(("vo",), rename)]), + "hfds": OrderedDict([(("hfds",), rename)]), + "volo": OrderedDict([(("volo",), rename)]), + "uo": OrderedDict([(("uo",), rename)]), + "zos": OrderedDict([(("zos",), rename)]), + "tob": OrderedDict([(("tob",), rename)]), + "sosga": OrderedDict([(("sosga",), rename)]), + "sfdsi": OrderedDict([(("sfdsi",), rename)]), + "zhalfo": OrderedDict([(("zhalfo",), rename)]), + "masso": OrderedDict([(("masso",), rename)]), + "so": OrderedDict([(("so",), rename)]), + "sob": OrderedDict([(("sob",), rename)]), + "mlotst": OrderedDict([(("mlotst",), rename)]), + "fsitherm": OrderedDict([(("fsitherm",), rename)]), + "msftmz": OrderedDict([(("msftmz",), rename)]), + # sea ice variables + "sitimefrac": OrderedDict([(("sitimefrac",), rename)]), + "siconc": OrderedDict([(("siconc",), rename)]), + "sisnmass": OrderedDict([(("sisnmass",), rename)]), + "sisnthick": OrderedDict([(("sisnthick",), rename)]), + "simass": OrderedDict([(("simass",), rename)]), + "sithick": OrderedDict([(("sithick",), rename)]), + "siu": OrderedDict([(("siu",), rename)]), + "sitemptop": OrderedDict([(("sitemptop",), rename)]), + "siv": OrderedDict([(("siv",), rename)]), +} diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py new file mode 100644 index 000000000..13c29bc57 --- /dev/null +++ b/e3sm_diags/derivations/formulas.py @@ -0,0 +1,378 @@ +"""This module defines formula functions used for deriving variables. + +The function arguments usually accept variables represented by `xr.DataArray`. +NOTE: If a function involves arithmetic between two or more `xr.DataArray`, +the arithmetic should be wrapped with `with xr.set_options(keep_attrs=True)` +to keep attributes on the resultant `xr.DataArray`. +""" +import xarray as xr + +from e3sm_diags.derivations.utils import convert_units + +AVOGADRO_CONST = 6.022e23 + + +def qflxconvert_units(var: xr.DataArray): + if ( + var.attrs["units"] == "kg/m2/s" + or var.attrs["units"] == "kg m-2 s-1" + or var.attrs["units"] == "mm/s" + ): + # need to find a solution for units not included in udunits + # var = convert_units( var, 'kg/m2/s' ) + var = var * 3600.0 * 24 # convert to mm/day + var.attrs["units"] = "mm/day" + elif var.attrs["units"] == "mm/hr": + var = var * 24.0 + var.attrs["units"] = "mm/day" + return var + + +def w_convert_q(var: xr.DataArray): + if var.attrs["units"] == "mol/mol": + var = ( + var * 18.0 / 28.97 * 1000.0 + ) # convert from volume mixing ratio to mass mixing ratio in units g/kg + var.attrs["units"] = "g/kg" + var.attrs["long_name"] = "H2OLNZ (radiation)" + return var + + +def molec_convert_units(var: xr.DataArray, molar_weight: float): + # Convert molec/cm2/s to kg/m2/s + if var.attrs["units"] == "molec/cm2/s": + var = var / AVOGADRO_CONST * molar_weight * 10.0 + var.attrs["units"] == "kg/m2/s" + return var + + +def qflx_convert_to_lhflx( + qflx: xr.DataArray, + precc: xr.DataArray, + precl: xr.DataArray, + precsc: xr.DataArray, + precsl: xr.DataArray, +): + # A more precise formula to close atmospheric energy budget: + # LHFLX is modified to account for the latent energy of frozen precipitation. + # LHFLX = (Lv+Lf)*QFLX - Lf*1.e3*(PRECC+PRECL-PRECSC-PRECSL) + # Constants, from AMWG diagnostics + Lv = 2.501e6 + Lf = 3.337e5 + var = (Lv + Lf) * qflx - Lf * 1.0e3 * (precc + precl - precsc - precsl) + var.attrs["units"] = "W/m2" + var.attrs["long_name"] = "Surface latent heat flux" + return var + + +def qflx_convert_to_lhflx_approxi(var: xr.DataArray): + # QFLX units: kg/((m^2)*s) + # Multiply by the latent heat of condensation/vaporization (in J/kg) + # kg/((m^2)*s) * J/kg = J/((m^2)*s) = (W*s)/((m^2)*s) = W/(m^2) + with xr.set_options(keep_attrs=True): + new_var = var * 2.5e6 + + new_var.name = "LHFLX" + return new_var + + +def pminuse_convert_units(var: xr.DataArray): + if ( + var.attrs["units"] == "kg/m2/s" + or var.attrs["units"] == "kg m-2 s-1" + or var.attrs["units"] == "kg/s/m^2" + ): + # need to find a solution for units not included in udunits + # var = convert_units( var, 'kg/m2/s' ) + var = var * 3600.0 * 24 # convert to mm/day + var.attrs["units"] = "mm/day" + var.attrs["long_name"] = "precip. flux - evap. flux" + return var + + +def prect(precc: xr.DataArray, precl: xr.DataArray): + """Total precipitation flux = convective + large-scale""" + with xr.set_options(keep_attrs=True): + var = precc + precl + + var = convert_units(var, "mm/day") + var.name = "PRECT" + var.attrs["long_name"] = "Total precipitation rate (convective + large-scale)" + return var + + +def precst(precc: xr.DataArray, precl: xr.DataArray): + """Total precipitation flux = convective + large-scale""" + with xr.set_options(keep_attrs=True): + var = precc + precl + + var = convert_units(var, "mm/day") + var.name = "PRECST" + var.attrs["long_name"] = "Total snowfall flux (convective + large-scale)" + return var + + +def tref_range(tmax: xr.DataArray, tmin: xr.DataArray): + """TREF daily range = TREFMXAV - TREFMNAV""" + var = tmax - tmin + var.name = "TREF_range" + var.attrs["units"] = "K" + var.attrs["long_name"] = "Surface Temperature Daily Range" + return var + + +def tauxy(taux: xr.DataArray, tauy: xr.DataArray): + """tauxy = (taux^2 + tauy^2)sqrt""" + with xr.set_options(keep_attrs=True): + var = (taux**2 + tauy**2) ** 0.5 + + var = convert_units(var, "N/m^2") + var.name = "TAUXY" + var.attrs["long_name"] = "Total surface wind stress" + return var + + +def fp_uptake(a: xr.DataArray, b: xr.DataArray): + """plant uptake of soil mineral N""" + var = a / b + var.name = "FP_UPTAKE" + var.attrs["units"] = "dimensionless" + var.attrs["long_name"] = "Plant uptake of soil mineral N" + return var + + +def albedo(rsdt: xr.DataArray, rsut: xr.DataArray): + """TOA (top-of-atmosphere) albedo, rsut / rsdt, unit is nondimension""" + var = rsut / rsdt + var.name = "ALBEDO" + var.attrs["units"] = "dimensionless" + var.attrs["long_name"] = "TOA albedo" + return var + + +def albedoc(rsdt: xr.DataArray, rsutcs: xr.DataArray): + """TOA (top-of-atmosphere) albedo clear-sky, rsutcs / rsdt, unit is nondimension""" + var = rsutcs / rsdt + var.name = "ALBEDOC" + var.attrs["units"] = "dimensionless" + var.attrs["long_name"] = "TOA albedo clear-sky" + return var + + +def albedo_srf(rsds: xr.DataArray, rsus: xr.DataArray): + """Surface albedo, rsus / rsds, unit is nondimension""" + var = rsus / rsds + var.name = "ALBEDOC_SRF" + var.attrs["units"] = "dimensionless" + var.attrs["long_name"] = "Surface albedo" + return var + + +def rst(rsdt: xr.DataArray, rsut: xr.DataArray): + """TOA (top-of-atmosphere) net shortwave flux""" + with xr.set_options(keep_attrs=True): + var = rsdt - rsut + + var.name = "FSNTOA" + var.attrs["long_name"] = "TOA net shortwave flux" + return var + + +def rstcs(rsdt: xr.DataArray, rsutcs: xr.DataArray): + """TOA (top-of-atmosphere) net shortwave flux clear-sky""" + with xr.set_options(keep_attrs=True): + var = rsdt - rsutcs + + var.name = "FSNTOAC" + var.attrs["long_name"] = "TOA net shortwave flux clear-sky" + return var + + +def swcfsrf(fsns: xr.DataArray, fsnsc: xr.DataArray): + """Surface shortwave cloud forcing""" + with xr.set_options(keep_attrs=True): + var = fsns - fsnsc + + var.name = "SCWFSRF" + var.attrs["long_name"] = "Surface shortwave cloud forcing" + return var + + +def lwcfsrf(flns: xr.DataArray, flnsc: xr.DataArray): + """Surface longwave cloud forcing, for ACME model, upward is postitive for LW , for ceres, downward is postive for both LW and SW""" + with xr.set_options(keep_attrs=True): + var = -(flns - flnsc) + + var.name = "LCWFSRF" + var.attrs["long_name"] = "Surface longwave cloud forcing" + return var + + +def swcf(fsntoa: xr.DataArray, fsntoac: xr.DataArray): + """TOA shortwave cloud forcing""" + with xr.set_options(keep_attrs=True): + var = fsntoa - fsntoac + + var.name = "SWCF" + var.attrs["long_name"] = "TOA shortwave cloud forcing" + return var + + +def lwcf(flntoa: xr.DataArray, flntoac: xr.DataArray): + """TOA longwave cloud forcing""" + with xr.set_options(keep_attrs=True): + var = flntoa - flntoac + + var.name = "LWCF" + var.attrs["long_name"] = "TOA longwave cloud forcing" + return var + + +def netcf2(swcf: xr.DataArray, lwcf: xr.DataArray): + """TOA net cloud forcing""" + with xr.set_options(keep_attrs=True): + var = swcf + lwcf + + var.name = "NETCF" + var.attrs["long_name"] = "TOA net cloud forcing" + return var + + +def netcf4( + fsntoa: xr.DataArray, + fsntoac: xr.DataArray, + flntoa: xr.DataArray, + flntoac: xr.DataArray, +): + """TOA net cloud forcing""" + with xr.set_options(keep_attrs=True): + var = fsntoa - fsntoac + flntoa - flntoac + + var.name = "NETCF" + var.attrs["long_name"] = "TOA net cloud forcing" + return var + + +def netcf2srf(swcf: xr.DataArray, lwcf: xr.DataArray): + """Surface net cloud forcing""" + with xr.set_options(keep_attrs=True): + var = swcf + lwcf + + var.name = "NETCF_SRF" + var.attrs["long_name"] = "Surface net cloud forcing" + return var + + +def netcf4srf( + fsntoa: xr.DataArray, + fsntoac: xr.DataArray, + flntoa: xr.DataArray, + flntoac: xr.DataArray, +): + """Surface net cloud forcing""" + with xr.set_options(keep_attrs=True): + var = fsntoa - fsntoac + flntoa - flntoac + + var.name = "NETCF4SRF" + var.attrs["long_name"] = "Surface net cloud forcing" + return var + + +def fldsc(ts: xr.DataArray, flnsc: xr.DataArray): + """Clearsky Surf LW downwelling flux""" + with xr.set_options(keep_attrs=True): + var = 5.67e-8 * ts**4 - flnsc + + var.name = "FLDSC" + var.attrs["units"] = "W/m2" + var.attrs["long_name"] = "Clearsky Surf LW downwelling flux" + return var + + +def restom(fsnt: xr.DataArray, flnt: xr.DataArray): + """TOM(top of model) Radiative flux""" + with xr.set_options(keep_attrs=True): + var = fsnt - flnt + + var.name = "RESTOM" + var.attrs["long_name"] = "TOM(top of model) Radiative flux" + return var + + +def restoa(fsnt: xr.DataArray, flnt: xr.DataArray): + """TOA(top of atmosphere) Radiative flux""" + with xr.set_options(keep_attrs=True): + var = fsnt - flnt + + var.name = "RESTOA" + var.attrs["long_name"] = "TOA(top of atmosphere) Radiative flux" + return var + + +def flus(flds: xr.DataArray, flns: xr.DataArray): + """Surface Upwelling LW Radiative flux""" + with xr.set_options(keep_attrs=True): + var = flns + flds + + var.name = "FLUS" + var.attrs["long_name"] = "Upwelling longwave flux at surface" + return var + + +def fsus(fsds: xr.DataArray, fsns: xr.DataArray): + """Surface Up-welling SW Radiative flux""" + with xr.set_options(keep_attrs=True): + var = fsds - fsns + + var.name = "FSUS" + var.attrs["long_name"] = "Upwelling shortwave flux at surface" + return var + + +def netsw(rsds: xr.DataArray, rsus: xr.DataArray): + """Surface SW Radiative flux""" + with xr.set_options(keep_attrs=True): + var = rsds - rsus + + var.name = "FSNS" + var.attrs["long_name"] = "Surface SW Radiative flux" + return var + + +def netlw(rlds: xr.DataArray, rlus: xr.DataArray): + """Surface LW Radiative flux""" + with xr.set_options(keep_attrs=True): + var = -(rlds - rlus) + + var.name = "NET_FLUX_SRF" + var.attrs["long_name"] = "Surface LW Radiative flux" + return var + + +def netflux4( + fsns: xr.DataArray, flns: xr.DataArray, lhflx: xr.DataArray, shflx: xr.DataArray +): + """Surface Net flux""" + with xr.set_options(keep_attrs=True): + var = fsns - flns - lhflx - shflx + + var.name = "NET_FLUX_SRF" + var.attrs["long_name"] = "Surface Net flux" + return var + + +def netflux6( + rsds: xr.DataArray, + rsus: xr.DataArray, + rlds: xr.DataArray, + rlus: xr.DataArray, + hfls: xr.DataArray, + hfss: xr.DataArray, +): + """Surface Net flux""" + with xr.set_options(keep_attrs=True): + var = rsds - rsus + (rlds - rlus) - hfls - hfss + + var.name = "NET_FLUX_SRF" + var.attrs["long_name"] = "Surface Net flux" + return var diff --git a/e3sm_diags/derivations/utils.py b/e3sm_diags/derivations/utils.py new file mode 100644 index 000000000..b79041718 --- /dev/null +++ b/e3sm_diags/derivations/utils.py @@ -0,0 +1,309 @@ +""" +This module defines general utilities for deriving variables, including unit +conversion functions, renaming variables, etc. +""" +from typing import TYPE_CHECKING, Optional, Tuple + +import MV2 +import numpy as np +import xarray as xr +from genutil import udunits + +if TYPE_CHECKING: + from cdms2.axis import FileAxis + from cdms2.fvariable import FileVariable + + +def rename(new_name: str): + """Given the new name, just return it.""" + return new_name + + +def aplusb(var1: xr.DataArray, var2: xr.DataArray, target_units=None): + """Returns var1 + var2. If both of their units are not the same, + it tries to convert both of their units to target_units""" + + if target_units is not None: + var1 = convert_units(var1, target_units) + var2 = convert_units(var2, target_units) + + return var1 + var2 + + +def convert_units(var: xr.DataArray, target_units: str): # noqa: C901 + if var.attrs.get("units") is None: + if var.name == "SST": + var.attrs["units"] = target_units + elif var.name == "ICEFRAC": + var.attrs["units"] = target_units + var = 100.0 * var + elif var.name == "AODVIS": + var.attrs["units"] = target_units + elif var.name == "AODDUST": + var.attrs["units"] = target_units + elif var.name == "FAREA_BURNED": + var = var * 1e9 + var.attrs["units"] = target_units + elif var.attrs["units"] == "gC/m^2": + var = var / 1000.0 + var.attrs["units"] = target_units + elif var.name == "FLOODPLAIN_VOLUME" and target_units == "km3": + var = var / 1.0e9 + var.attrs["units"] = target_units + elif var.name == "AOD_550_ann": + var.attrs["units"] = target_units + elif var.name == "AOD_550": + var.attrs["units"] = target_units + elif var.attrs["units"] == "C" and target_units == "DegC": + var.attrs["units"] = target_units + elif var.attrs["units"] == "N/m2" and target_units == "N/m^2": + var.attrs["units"] = target_units + elif var.name == "AODVIS" or var.name == "AOD_550_ann" or var.name == "TOTEXTTAU": + var.attrs["units"] = target_units + elif var.attrs["units"] == "fraction": + var = 100.0 * var + var.attrs["units"] = target_units + elif var.attrs["units"] == "mb": + var.attrs["units"] = target_units + elif var.attrs["units"] == "gpm": # geopotential meter + var = var / 9.8 / 100 # convert to hecto meter + var.attrs["units"] = target_units + elif var.attrs["units"] == "Pa/s": + var = var / 100.0 * 24 * 3600 + var.attrs["units"] = target_units + elif var.attrs["units"] == "mb/day": + var = var + var.attrs["units"] = target_units + elif var.name == "prw" and var.attrs["units"] == "cm": + var = var * 10.0 # convert from 'cm' to 'kg/m2' or 'mm' + var.attrs["units"] = target_units + elif var.attrs["units"] in ["gC/m^2/s"] and target_units == "g*/m^2/day": + var = var * 24 * 3600 + var.attrs["units"] = var.attrs["units"][0:7] + "day" + elif ( + var.attrs["units"] in ["gN/m^2/s", "gP/m^2/s"] and target_units == "mg*/m^2/day" + ): + var = var * 24 * 3600 * 1000.0 + var.attrs["units"] = "m" + var.attrs["units"][0:7] + "day" + elif var.attrs["units"] in ["gN/m^2/day", "gP/m^2/day", "gC/m^2/day"]: + pass + else: + temp = udunits(1.0, var.attrs["units"]) + coeff, offset = temp.how(target_units) + + # Keep all of the attributes except the units. + with xr.set_options(keep_attrs=True): + var = coeff * var + offset + + var.attrs["units"] = target_units + + return var + + +def _apply_land_sea_mask( + var: xr.DataArray, var_mask: xr.DataArray, lower_limit: float +) -> xr.DataArray: + """Apply a land or sea mask on the variable. + + Parameters + ---------- + var : xr.DataArray + The variable. + var_mask : xr.DataArray + The variable mask ("LANDFRAC" or "OCNFRAC"). + lower_limit : float + Update the mask variable with a lower limit. All values below the + lower limit will be masked. + + Returns + ------- + xr.DataArray + The masked variable. + """ + cond = var_mask > lower_limit + masked_var = var.where(cond=cond, drop=False) + + return masked_var + + +def adjust_prs_val_units( + prs: "FileAxis", prs_val: float, prs_val0: Optional[float] +) -> float: + """Adjust the prs_val units based on the prs.id""" + # FIXME: Refactor this function to operate on xr.Dataset/xr.DataArray. + # COSP v2 cosp_pr in units Pa instead of hPa as in v1 + # COSP v2 cosp_htmisr in units m instead of km as in v1 + adjust_ids = {"cosp_prs": 100, "cosp_htmisr": 1000} + + if prs_val0: + prs_val = prs_val0 + if prs.id in adjust_ids.keys() and max(prs.getData()) > 1000: + prs_val = prs_val * adjust_ids[prs.id] + + return prs_val + + +def determine_cloud_level( + prs_low: float, + prs_high: float, + low_bnds: Tuple[int, int], + high_bnds: Tuple[int, int], +) -> str: + """Determines the cloud type based on prs values and the specified boundaries""" + # Threshold for cloud top height: high cloud (<440hPa or > 7km), midlevel cloud (440-680hPa, 3-7 km) and low clouds (>680hPa, < 3km) + if prs_low in low_bnds and prs_high in high_bnds: + return "middle cloud fraction" + elif prs_low in low_bnds: + return "high cloud fraction" + elif prs_high in high_bnds: + return "low cloud fraction" + else: + return "total cloud fraction" + + +def cosp_bin_sum( + cld: "FileVariable", + prs_low0: Optional[float], + prs_high0: Optional[float], + tau_low0: Optional[float], + tau_high0: Optional[float], +): + # FIXME: Refactor this function to operate on xr.Dataset/xr.DataArray. + """sum of cosp bins to calculate cloud fraction in specified cloud top pressure / height and + cloud thickness bins, input variable has dimension (cosp_prs,cosp_tau,lat,lon)/(cosp_ht,cosp_tau,lat,lon) + """ + prs: FileAxis = cld.getAxis(0) + tau: FileAxis = cld.getAxis(1) + + prs_low: float = adjust_prs_val_units(prs, prs[0], prs_low0) + prs_high: float = adjust_prs_val_units(prs, prs[-1], prs_high0) + + if prs_low0 is None and prs_high0 is None: + prs_lim = "total cloud fraction" + + tau_high, tau_low, tau_lim = determine_tau(tau, tau_low0, tau_high0) + + if cld.id == "FISCCP1_COSP": # ISCCP model + cld_bin = cld(cosp_prs=(prs_low, prs_high), cosp_tau=(tau_low, tau_high)) + simulator = "ISCCP" + if cld.id == "CLISCCP": # ISCCP obs + cld_bin = cld(isccp_prs=(prs_low, prs_high), isccp_tau=(tau_low, tau_high)) + + if cld.id == "CLMODIS": # MODIS + prs_lim = determine_cloud_level(prs_low, prs_high, (440, 44000), (680, 68000)) + simulator = "MODIS" + + if prs.id == "cosp_prs": # Model + cld_bin = cld( + cosp_prs=(prs_low, prs_high), cosp_tau_modis=(tau_low, tau_high) + ) + elif prs.id == "modis_prs": # Obs + cld_bin = cld(modis_prs=(prs_low, prs_high), modis_tau=(tau_low, tau_high)) + + if cld.id == "CLD_MISR": # MISR model + if max(prs) > 1000: # COSP v2 cosp_htmisr in units m instead of km as in v1 + cld = cld[ + 1:, :, :, : + ] # COSP v2 cosp_htmisr[0] equals to 0 instead of -99 as in v1, therefore cld needs to be masked manually + cld_bin = cld(cosp_htmisr=(prs_low, prs_high), cosp_tau=(tau_low, tau_high)) + prs_lim = determine_cloud_level(prs_low, prs_high, (7, 7000), (3, 3000)) + simulator = "MISR" + if cld.id == "CLMISR": # MISR obs + cld_bin = cld(misr_cth=(prs_low, prs_high), misr_tau=(tau_low, tau_high)) + + cld_bin_sum = MV2.sum(MV2.sum(cld_bin, axis=1), axis=0) + + try: + cld_bin_sum.long_name = simulator + ": " + prs_lim + " with " + tau_lim + # cld_bin_sum.long_name = "{}: {} with {}".format(simulator, prs_lim, tau_lim) + except BaseException: + pass + return cld_bin_sum + + +def determine_tau( + tau: "FileAxis", tau_low0: Optional[float], tau_high0: Optional[float] +): + # FIXME: Refactor this function to operate on xr.Dataset/xr.DataArray. + tau_low = tau[0] + tau_high = tau[-1] + + if tau_low0 is None and tau_high0: + tau_high = tau_high0 + tau_lim = "tau <" + str(tau_high0) + elif tau_high0 is None and tau_low0: + tau_low = tau_low0 + tau_lim = "tau >" + str(tau_low0) + elif tau_low0 is None and tau_high0 is None: + tau_lim = str(tau_low) + "< tau < " + str(tau_high) + else: + tau_low = tau_low0 + tau_high = tau_high0 + tau_lim = str(tau_low) + "< tau < " + str(tau_high) + + return tau_high, tau_low, tau_lim + + +def cosp_histogram_standardize(cld: "FileVariable"): + # TODO: Refactor this function to operate on xr.Dataset/xr.DataArray. + """standarize cloud top pressure and cloud thickness bins to dimensions that + suitable for plotting, input variable has dimention (cosp_prs,cosp_tau)""" + prs = cld.getAxis(0) + tau = cld.getAxis(1) + + prs[0] + prs_high = prs[-1] + tau[0] + tau_high = tau[-1] + + prs_bounds = getattr(prs, "bounds") + if prs_bounds is None: + cloud_prs_bounds = np.array( + [ + [1000.0, 800.0], + [800.0, 680.0], + [680.0, 560.0], + [560.0, 440.0], + [440.0, 310.0], + [310.0, 180.0], + [180.0, 0.0], + ] + ) # length 7 + prs.setBounds(np.array(cloud_prs_bounds, dtype=np.float32)) + + tau_bounds = getattr(tau, "bounds") + if tau_bounds is None: + cloud_tau_bounds = np.array( + [ + [0.3, 1.3], + [1.3, 3.6], + [3.6, 9.4], + [9.4, 23], + [23, 60], + [60, 379], + ] + ) # length 6 + tau.setBounds(np.array(cloud_tau_bounds, dtype=np.float32)) + + if cld.id == "FISCCP1_COSP": # ISCCP model + cld_hist = cld(cosp_tau=(0.3, tau_high)) + if cld.id == "CLISCCP": # ISCCP obs + cld_hist = cld(isccp_tau=(0.3, tau_high)) + + if cld.id == "CLMODIS": # MODIS + try: + cld_hist = cld(cosp_tau_modis=(0.3, tau_high)) # MODIS model + except BaseException: + cld_hist = cld(modis_tau=(0.3, tau_high)) # MODIS obs + + if cld.id == "CLD_MISR": # MISR model + if max(prs) > 1000: # COSP v2 cosp_htmisr in units m instead of km as in v1 + cld = cld[ + 1:, :, :, : + ] # COSP v2 cosp_htmisr[0] equals to 0 instead of -99 as in v1, therefore cld needs to be masked manually + prs_high = 1000.0 * prs_high + cld_hist = cld(cosp_tau=(0.3, tau_high), cosp_htmisr=(0, prs_high)) + if cld.id == "CLMISR": # MISR obs + cld_hist = cld(misr_tau=(0.3, tau_high), misr_cth=(0, prs_high)) + + return cld_hist diff --git a/e3sm_diags/driver/__init__.py b/e3sm_diags/driver/__init__.py index e69de29bb..2a9bee4ad 100644 --- a/e3sm_diags/driver/__init__.py +++ b/e3sm_diags/driver/__init__.py @@ -0,0 +1,14 @@ +import os + +from e3sm_diags import INSTALL_PATH + +# The path to the land ocean mask file, which is bundled with the installation +# of e3sm_diags in the conda environment. +LAND_OCEAN_MASK_PATH = os.path.join(INSTALL_PATH, "acme_ne30_ocean_land_mask.nc") + +# The keys for the land and ocean fraction variables in the +# `LAND_OCEAN_MASK_PATH` file. +LAND_FRAC_KEY = "LANDFRAC" +OCEAN_FRAC_KEY = "OCNFRAC" + +MASK_REGION_TO_VAR_KEY = {"land": LAND_FRAC_KEY, "ocean": OCEAN_FRAC_KEY} diff --git a/e3sm_diags/driver/lat_lon_driver.py b/e3sm_diags/driver/lat_lon_driver.py index 2b5e63c50..bea50fb94 100755 --- a/e3sm_diags/driver/lat_lon_driver.py +++ b/e3sm_diags/driver/lat_lon_driver.py @@ -1,16 +1,23 @@ from __future__ import annotations -import json -import os -from typing import TYPE_CHECKING - -import cdms2 - -import e3sm_diags -from e3sm_diags.driver import utils +from typing import TYPE_CHECKING, List, Tuple + +import xarray as xr + +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import ( + _apply_land_sea_mask, + _subset_on_region, + align_grids_to_lower_res, + get_z_axis, + has_z_axis, + regrid_z_axis_to_plevs, +) +from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, mean, rmse, std -from e3sm_diags.plot import plot +from e3sm_diags.metrics.metrics import correlation, rmse, spatial_avg, std +from e3sm_diags.plot.lat_lon_plot import plot as plot_func logger = custom_logger(__name__) @@ -18,222 +25,423 @@ from e3sm_diags.parameter.core_parameter import CoreParameter -def create_and_save_data_and_metrics(parameter, mv1_domain, mv2_domain): - if not parameter.model_only: - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - mv1_reg, mv2_reg = utils.general.regrid_to_lower_res( - mv1_domain, - mv2_domain, - parameter.regrid_tool, - parameter.regrid_method, - ) - - diff = mv1_reg - mv2_reg - else: - mv2_domain = None - mv2_reg = None - mv1_reg = mv1_domain - diff = None - - metrics_dict = create_metrics(mv2_domain, mv1_domain, mv2_reg, mv1_reg, diff) +def run_diag(parameter: CoreParameter) -> CoreParameter: + """Get metrics for the lat_lon diagnostic set. - # Saving the metrics as a json. - metrics_dict["unit"] = mv1_domain.units + This function loops over each variable, season, pressure level (if 3-D), + and region. - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - with open(fnm, "w") as outfile: - json.dump(metrics_dict, outfile) - - logger.info(f"Metrics saved in {fnm}") - - plot( - parameter.current_set, - mv2_domain, - mv1_domain, - diff, - metrics_dict, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_domain, - mv2_domain, - diff, - parameter, - ) + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + Returns + ------- + CoreParameter + The parameter for the diagnostic with the result (completed or failed). -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - # For input None, metrics are instantiated to 999.999. - # Apply float() to make sure the elements in metrics_dict are JSON serializable, i.e. np.float64 type is JSON serializable, but not np.float32. - missing_value = 999.999 - metrics_dict = {} - metrics_dict["ref"] = { - "min": float(ref.min()) if ref is not None else missing_value, - "max": float(ref.max()) if ref is not None else missing_value, - "mean": float(mean(ref)) if ref is not None else missing_value, - } - metrics_dict["ref_regrid"] = { - "min": float(ref_regrid.min()) if ref_regrid is not None else missing_value, - "max": float(ref_regrid.max()) if ref_regrid is not None else missing_value, - "mean": float(mean(ref_regrid)) if ref_regrid is not None else missing_value, - "std": float(std(ref_regrid)) if ref_regrid is not None else missing_value, - } - metrics_dict["test"] = { - "min": float(test.min()), - "max": float(test.max()), - "mean": float(mean(test)), - } - metrics_dict["test_regrid"] = { - "min": float(test_regrid.min()), - "max": float(test_regrid.max()), - "mean": float(mean(test_regrid)), - "std": float(std(test_regrid)), - } - metrics_dict["diff"] = { - "min": float(diff.min()) if diff is not None else missing_value, - "max": float(diff.max()) if diff is not None else missing_value, - "mean": float(mean(diff)) if diff is not None else missing_value, - } - metrics_dict["misc"] = { - "rmse": float(rmse(test_regrid, ref_regrid)) - if ref_regrid is not None - else missing_value, - "corr": float(corr(test_regrid, ref_regrid)) - if ref_regrid is not None - else missing_value, - } - return metrics_dict - - -def run_diag(parameter: CoreParameter) -> CoreParameter: # noqa: C901 + Raises + ------ + RuntimeError + If the dimensions of the test and reference datasets are not aligned + (e.g., one is 2-D and the other is 3-D). + """ variables = parameter.variables seasons = parameter.seasons ref_name = getattr(parameter, "ref_name", "") regions = parameter.regions - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) + # Variables storing xarray `Dataset` objects start with `ds_` and + # variables storing e3sm_diags `Dataset` objects end with `_ds`. This + # is to help distinguish both objects from each other. + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key + + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) + + # The land sea mask dataset that is used for masking if the region + # is either land or sea. This variable is instantiated here to get + # it once per season in case it needs to be reused. + ds_land_sea_mask: xr.Dataset = test_ds._get_land_sea_mask(season) + + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + + # Store the variable's DataArray objects for reuse. + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] + + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) + + if not is_vars_3d: + _run_diags_2d( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) + elif is_vars_3d: + _run_diags_3d( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season + elif is_dims_diff: + raise RuntimeError( + "Dimensions of the two variables are different. Aborting." + ) + + return parameter + + +def _run_diags_2d( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run diagnostics on a 2D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + for region in regions: + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) + + ( + metrics_dict, + ds_test_region, + ds_ref_region, + ds_diff_region, + ) = _get_metrics_by_region( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + var_key, + region, ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_test_region, + ds_ref_region, + ds_diff_region, + metrics_dict, ) - # Get land/ocean fraction for masking. - try: - land_frac = test_data.get_climo_variable("LANDFRAC", season) - ocean_frac = test_data.get_climo_variable("OCNFRAC", season) - except Exception: - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" + +def _run_diags_3d( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run diagnostics on a 3D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + plev = parameter.plevs + logger.info("Selected pressure level(s): {}".format(plev)) + + ds_test_rg = regrid_z_axis_to_plevs(ds_test, var_key, parameter.plevs) + ds_ref_rg = regrid_z_axis_to_plevs(ds_ref, var_key, parameter.plevs) + + for ilev in plev: + z_axis_key = get_z_axis(ds_test_rg[var_key]).name + ds_test_ilev = ds_test_rg.sel({z_axis_key: ilev}) + ds_ref_ilev = ds_ref_rg.sel({z_axis_key: ilev}) + + for region in regions: + ( + metrics_dict, + ds_test_region, + ds_ref_region, + ds_diff_region, + ) = _get_metrics_by_region( + parameter, + ds_test_ilev, + ds_ref_ilev, + ds_land_sea_mask, + var_key, + region, ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") - - parameter.model_only = False - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var - - mv1 = test_data.get_climo_variable(var, season) - try: - mv2 = ref_data.get_climo_variable(var, season) - except (RuntimeError, IOError): - mv2 = mv1 - logger.info("Can not process reference data, analyse test data only") - - parameter.model_only = True - - parameter.viewer_descr[var] = ( - mv1.long_name - if hasattr(mv1, "long_name") - else "No long_name attr in test data." + + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_test_region, + ds_ref_region, + ds_diff_region, + metrics_dict, ) - # For variables with a z-axis. - if mv1.getLevel() and mv2.getLevel(): - plev = parameter.plevs - logger.info("Selected pressure level: {}".format(plev)) - mv1_p = utils.general.convert_to_pressure_levels( - mv1, plev, test_data, var, season - ) - mv2_p = utils.general.convert_to_pressure_levels( - mv2, plev, ref_data, var, season - ) +def _get_metrics_by_region( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + var_key: str, + region: str, +) -> Tuple[MetricsDict, xr.Dataset, xr.Dataset | None, xr.Dataset | None]: + """Get metrics by region and save data (optional), metrics, and plots + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + var_key : str + The key of the variable. + region : str + The region. + + Returns + ------- + Tuple[MetricsDict, xr.Dataset, xr.Dataset | None, xr.Dataset | None] + A tuple containing the metrics dictionary, the test dataset, the ref + dataset (optional), and the diffs dataset (optional). + """ + logger.info(f"Selected region: {region}") + parameter.var_region = region + + # Apply a land sea mask or subset on a specific region. + if region == "land" or region == "ocean": + ds_test = _apply_land_sea_mask( + ds_test, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + ds_ref = _apply_land_sea_mask( + ds_ref, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + elif region != "global": + ds_test = _subset_on_region(ds_test, var_key, region) + ds_ref = _subset_on_region(ds_ref, var_key, region) - # Select plev. - for ilev in range(len(plev)): - mv1 = mv1_p[ilev,] - mv2 = mv2_p[ilev,] - - for region in regions: - parameter.var_region = region - logger.info(f"Selected regions: {region}") - mv1_domain = utils.general.select_region( - region, mv1, land_frac, ocean_frac, parameter - ) - mv2_domain = utils.general.select_region( - region, mv2, land_frac, ocean_frac, parameter - ) - - parameter.output_file = "-".join( - [ - ref_name, - var, - str(int(plev[ilev])), - season, - region, - ] - ) - parameter.main_title = str( - " ".join( - [ - var, - str(int(plev[ilev])), - "mb", - season, - region, - ] - ) - ) - - create_and_save_data_and_metrics( - parameter, mv1_domain, mv2_domain - ) - - # For variables without a z-axis. - elif mv1.getLevel() is None and mv2.getLevel() is None: - for region in regions: - parameter.var_region = region - - logger.info(f"Selected region: {region}") - mv1_domain = utils.general.select_region( - region, mv1, land_frac, ocean_frac, parameter - ) - mv2_domain = utils.general.select_region( - region, mv2, land_frac, ocean_frac, parameter - ) - - parameter.output_file = "-".join([ref_name, var, season, region]) - parameter.main_title = str(" ".join([var, season, region])) - - create_and_save_data_and_metrics(parameter, mv1_domain, mv2_domain) - - else: - raise RuntimeError( - "Dimensions of the two variables are different. Aborting." - ) + # Align the grid resolutions if the diagnostic is not model only. + if not parameter.model_only: + ds_test_regrid, ds_ref_regrid = align_grids_to_lower_res( + ds_test, + ds_ref, + var_key, + parameter.regrid_tool, + parameter.regrid_method, + ) + ds_diff = ds_test_regrid.copy() + ds_diff[var_key] = ds_test_regrid[var_key] - ds_ref_regrid[var_key] + else: + ds_test_regrid = ds_test + ds_ref = None # type: ignore + ds_ref_regrid = None + ds_diff = None - return parameter + metrics_dict = _create_metrics_dict( + var_key, ds_test, ds_test_regrid, ds_ref, ds_ref_regrid, ds_diff + ) + + return metrics_dict, ds_test, ds_ref, ds_diff + + +def _create_metrics_dict( + var_key: str, + ds_test: xr.Dataset, + ds_test_regrid: xr.Dataset, + ds_ref: xr.Dataset | None, + ds_ref_regrid: xr.Dataset | None, + ds_diff: xr.Dataset | None, +) -> MetricsDict: + """Calculate metrics using the variable in the datasets. + + Metrics include min value, max value, spatial average (mean), standard + deviation, correlation (pearson_r), and RMSE. The default value for + optional metrics is None. + + Parameters + ---------- + var_key : str + The variable key. + ds_test : xr.Dataset + The test dataset. + ds_test_regrid : xr.Dataset + The regridded test Dataset. If there is no reference dataset, then this + object is the same as ``ds_test``. + ds_ref : xr.Dataset | None + The optional reference dataset. This arg will be None if a model only + run is performed. + ds_ref_regrid : xr.Dataset | None + The optional regridded reference dataset. This arg will be None if a + model only run is performed. + ds_diff : xr.Dataset | None + The difference between ``ds_test_regrid`` and ``ds_ref_regrid`` if both + exist. This arg will be None if a model only run is performed. + + Returns + ------- + Metrics + A dictionary with the key being a string and the value being either + a sub-dictionary (key is metric and value is float) or a string + ("unit"). + """ + # Extract these variables for reuse. + var_test = ds_test[var_key] + var_test_regrid = ds_test_regrid[var_key] + + # xarray.DataArray.min() and max() returns a `np.ndarray` with a single + # int/float element. Using `.item()` returns that single element. + metrics_dict = { + "test": { + "min": var_test.min().item(), + "max": var_test.max().item(), + "mean": spatial_avg(ds_test, var_key), + }, + "test_regrid": { + "min": var_test_regrid.min().item(), + "max": var_test_regrid.max().item(), + "mean": spatial_avg(ds_test_regrid, var_key), + "std": std(ds_test_regrid, var_key), + }, + "ref": { + "min": None, + "max": None, + "mean": None, + }, + "ref_regrid": { + "min": None, + "max": None, + "mean": None, + "std": None, + }, + "misc": { + "rmse": None, + "corr": None, + }, + "diff": { + "min": None, + "max": None, + "mean": None, + }, + "unit": ds_test[var_key].attrs["units"], + } + + if ds_ref is not None: + var_ref = ds_ref[var_key] + + metrics_dict["ref"] = { + "min": var_ref.min().item(), + "max": var_ref.max().item(), + "mean": spatial_avg(ds_ref, var_key), + } + + if ds_ref_regrid is not None: + var_ref_regrid = ds_ref_regrid[var_key] + + metrics_dict["ref_regrid"] = { + "min": var_ref_regrid.min().item(), + "max": var_ref_regrid.max().item(), + "mean": spatial_avg(ds_ref_regrid, var_key), + "std": std(ds_ref_regrid, var_key), + } + + metrics_dict["misc"] = { + "rmse": rmse(ds_test_regrid, ds_ref_regrid, var_key), + "corr": correlation(ds_test_regrid, ds_ref_regrid, var_key), + } + + if ds_diff is not None: + var_diff = ds_diff[var_key] + + metrics_dict["diff"] = { + "min": var_diff.min().item(), + "max": var_diff.max().item(), + "mean": spatial_avg(ds_diff, var_key), + } + + return metrics_dict diff --git a/e3sm_diags/driver/lat_lon_land_driver.py b/e3sm_diags/driver/lat_lon_land_driver.py index c71052951..ff6121132 100644 --- a/e3sm_diags/driver/lat_lon_land_driver.py +++ b/e3sm_diags/driver/lat_lon_land_driver.py @@ -2,10 +2,6 @@ from typing import TYPE_CHECKING -from e3sm_diags.driver.lat_lon_driver import ( - create_and_save_data_and_metrics as base_create_and_save_data_and_metrics, -) -from e3sm_diags.driver.lat_lon_driver import create_metrics as base_create_metrics from e3sm_diags.driver.lat_lon_driver import run_diag as base_run_diag if TYPE_CHECKING: @@ -13,14 +9,5 @@ from e3sm_diags.parameter.lat_lon_land_parameter import LatLonLandParameter -def create_and_save_data_and_metrics(parameter, test, ref): - return base_create_and_save_data_and_metrics(parameter, test, ref) - - -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - return base_create_metrics(ref, test, ref_regrid, test_regrid, diff) - - def run_diag(parameter: LatLonLandParameter) -> CoreParameter: return base_run_diag(parameter) diff --git a/e3sm_diags/driver/lat_lon_river_driver.py b/e3sm_diags/driver/lat_lon_river_driver.py index 5e4a05ea0..08204c48d 100644 --- a/e3sm_diags/driver/lat_lon_river_driver.py +++ b/e3sm_diags/driver/lat_lon_river_driver.py @@ -2,10 +2,6 @@ from typing import TYPE_CHECKING -from e3sm_diags.driver.lat_lon_driver import ( - create_and_save_data_and_metrics as base_create_and_save_data_and_metrics, -) -from e3sm_diags.driver.lat_lon_driver import create_metrics as base_create_metrics from e3sm_diags.driver.lat_lon_driver import run_diag as base_run_diag if TYPE_CHECKING: @@ -13,14 +9,5 @@ from e3sm_diags.parameter.lat_lon_river_parameter import LatLonRiverParameter -def create_and_save_data_and_metrics(parameter, test, ref): - return base_create_and_save_data_and_metrics(parameter, test, ref) - - -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - return base_create_metrics(ref, test, ref_regrid, test_regrid, diff) - - def run_diag(parameter: LatLonRiverParameter) -> CoreParameter: return base_run_diag(parameter) diff --git a/e3sm_diags/driver/utils/climo.py b/e3sm_diags/driver/utils/climo.py index ea4a576ea..2a8d4b485 100644 --- a/e3sm_diags/driver/utils/climo.py +++ b/e3sm_diags/driver/utils/climo.py @@ -1,3 +1,10 @@ +"""" +The original E3SM diags climatology function, which operates on +`cdms2.TransientVariable`. + +WARNING: This function will be deprecated the driver for each diagnostic sets +is refactored to use `climo_xr.py`. +""" import cdms2 import numpy as np import numpy.ma as ma diff --git a/e3sm_diags/driver/utils/climo_xr.py b/e3sm_diags/driver/utils/climo_xr.py new file mode 100644 index 000000000..50599b5a4 --- /dev/null +++ b/e3sm_diags/driver/utils/climo_xr.py @@ -0,0 +1,156 @@ +"""This module stores climatology functions operating on Xarray objects. + +NOTE: Replaces `e3sm_diags.driver.utils.climo`. + +This file will eventually be refactored to use xCDAT's climatology API. +""" +from typing import Dict, List, Literal, get_args + +import numpy as np +import numpy.ma as ma +import xarray as xr +import xcdat as xc + +from e3sm_diags.logger import custom_logger + +logger = custom_logger(__name__) + +# A type annotation and list representing accepted climatology frequencies. +# Accepted frequencies include the month integer and season string. +CLIMO_FREQ = Literal[ + "01", + "02", + "03", + "04", + "05", + "06", + "07", + "08", + "09", + "10", + "11", + "12", + "ANN", + "DJF", + "MAM", + "JJA", + "SON", +] +CLIMO_FREQS = get_args(CLIMO_FREQ) + +# A dictionary that maps climatology frequencies to the appropriate cycle +# for grouping. +CLIMO_CYCLE_MAP = { + "ANNUALCYCLE": [ + "01", + "02", + "03", + "04", + "05", + "06", + "07", + "08", + "09", + "10", + "11", + "12", + ], + "SEASONALCYCLE": ["DJF", "MAM", "JJA", "SON"], +} +# A dictionary mapping climatology frequencies to their indexes for grouping +# coordinate points for weighted averaging. +FREQ_IDX_MAP: Dict[CLIMO_FREQ, List[int]] = { + "01": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "02": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "03": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "04": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], + "05": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], + "06": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], + "07": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], + "08": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], + "09": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], + "10": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], + "11": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], + "12": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], + "DJF": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], + "MAM": [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], + "JJA": [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], + "SON": [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], + "ANN": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], +} + + +def climo(dataset: xr.Dataset, var_key: str, freq: CLIMO_FREQ): + """Computes a variable's climatology for the given frequency. + + Parameters + ---------- + dataset: xr.Dataset + The time series dataset. + var_key : xr.DataArray + The key of the variable in the Dataset to calculate climatology for. + freq : CLIMO_FREQ + The frequency for calculating climatology. + + Returns + ------- + xr.DataArray + The variable's climatology. + """ + # Get the frequency's cycle index map and number of cycles. + if freq not in get_args(CLIMO_FREQ): + raise ValueError( + f"`freq='{freq}'` is not a valid climatology frequency. Options " + f"include {get_args(CLIMO_FREQ)}'" + ) + + # Time coordinates are centered (if they aren't already) for more robust + # weighted averaging calculations. + ds = dataset.copy() + ds = xc.center_times(ds) + + # Extract the data variable from the new dataset to calculate weighted + # averaging. + dv = ds[var_key].copy() + time_coords = xc.get_dim_coords(dv, axis="T") + + # Loop over the time coordinates to get the indexes related to the + # user-specified climatology frequency using the frequency index map + # (`FREQ_IDX_MAP``). + time_idx = [] + for i in range(len(time_coords)): + month = time_coords[i].dt.month.item() + idx = FREQ_IDX_MAP[freq][month - 1] + time_idx.append(idx) + + time_idx = np.array(time_idx, dtype=np.int64).nonzero() # type: ignore + + # Convert data variable from an `xr.DataArray` to a `np.MaskedArray` to + # utilize the weighted averaging function and use the time bounds + # to calculate time lengths for weights. + # NOTE: Since `time_bnds`` are decoded, the arithmetic to produce + # `time_lengths` will result in the weighted averaging having an extremely + # small floating point difference (1e-16+) compared to `climo.py`. + dv_masked = dv.to_masked_array() + + time_bnds = ds.bounds.get_bounds(axis="T") + time_lengths = (time_bnds[:, 1] - time_bnds[:, 0]).astype(np.float64) + + # Calculate the weighted average of the masked data variable using the + # appropriate indexes and weights. + climo = ma.average(dv_masked[time_idx], axis=0, weights=time_lengths[time_idx]) + + # Construct the climatology xr.DataArray using the averaging output. The + # time coordinates are not included since they become a singleton after + # averaging. + dims = [dim for dim in dv.dims if dim != time_coords.name] + coords = {k: v for k, v in dv.coords.items() if k in dims} + dv_climo = xr.DataArray( + name=dv.name, + data=climo, + coords={**coords}, + dims=dims, + attrs=dv.attrs, + ) + + return dv_climo diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py new file mode 100644 index 000000000..251e56c49 --- /dev/null +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -0,0 +1,1060 @@ +"""This module stores the Dataset class, which is the primary class for I/O. + +NOTE: Replaces `e3sm_diags.driver.utils.dataset`. + +This Dataset class operates on `xr.Dataset` objects, which are created using +netCDF files. These `xr.Dataset` contain either the reference or test variable. +This variable can either be from a climatology file or a time series file. +If the variable is from a time series file, the climatology of the variable is +calculated. Reference and test variables can also be derived using other +variables from dataset files. +""" +from __future__ import annotations + +import collections +import fnmatch +import glob +import os +import re +from typing import TYPE_CHECKING, Callable, Dict, Literal, Tuple + +import xarray as xr +import xcdat as xc + +from e3sm_diags.derivations.derivations import ( + DERIVED_VARIABLES, + DerivedVariableMap, + DerivedVariablesMap, +) +from e3sm_diags.driver import LAND_FRAC_KEY, LAND_OCEAN_MASK_PATH, OCEAN_FRAC_KEY +from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQ, CLIMO_FREQS, climo +from e3sm_diags.logger import custom_logger + +if TYPE_CHECKING: + from e3sm_diags.parameter.core_parameter import CoreParameter + + +logger = custom_logger(__name__) + +# A constant variable that defines the pattern for time series filenames. +# Example: "ts_global_200001_200112.nc" (__) +TS_EXT_FILEPATTERN = r"_.{13}.nc" + + +class Dataset: + def __init__( + self, + parameter: CoreParameter, + data_type: Literal["ref", "test"], + ): + # The CoreParameter object with a list of parameters. + self.parameter = parameter + + # The type of data for the Dataset object to store. + self.data_type = data_type + + # The path, start year, and end year based on the dataset type. + if self.data_type == "ref": + self.root_path = self.parameter.reference_data_path + elif self.data_type == "test": + self.root_path = self.parameter.test_data_path + else: + raise ValueError( + f"The `type` ({self.data_type}) for this Dataset object is invalid." + "Valid options include 'ref' or 'test'." + ) + + # If the underlying data is a time series, set the `start_yr` and + # `end_yr` attrs based on the data type (ref or test). Note, these attrs + # are different for the `area_mean_time_series` parameter. + if self.is_time_series: + # FIXME: This conditional should not assume the first set is + # area_mean_time_series. If area_mean_time_series is at another + # index, this conditional is not False. + if self.parameter.sets[0] in ["area_mean_time_series"]: + self.start_yr = self.parameter.start_yr # type: ignore + self.end_yr = self.parameter.end_yr # type: ignore + elif self.data_type == "ref": + self.start_yr = self.parameter.ref_start_yr # type: ignore + self.end_yr = self.parameter.ref_end_yr # type: ignore + elif self.data_type == "test": + self.start_yr = self.parameter.test_start_yr # type: ignore + self.end_yr = self.parameter.test_end_yr # type: ignore + + # The derived variables defined in E3SM Diags. If the `CoreParameter` + # object contains additional user derived variables, they are added + # to `self.derived_vars`. + self.derived_vars_map = self._get_derived_vars_map() + + # Whether the data is sub-monthly or not. + self.is_sub_monthly = False + if self.parameter.sets[0] in ["diurnal_cycle", "arm_diags"]: + self.is_sub_monthly = True + + @property + def is_time_series(self): + if self.parameter.ref_timeseries_input or self.parameter.test_timeseries_input: + return True + else: + return False + + @property + def is_climo(self): + return not self.is_time_series + + def _get_derived_vars_map(self) -> DerivedVariablesMap: + """Get the defined derived variables. + + If the user-defined derived variables are in the input parameters, + append parameters.derived_variables to the correct part of the derived + variables dictionary. + + Returns + ------- + DerivedVariablesMap + A dictionary mapping the key of a derived variable to an ordered + dictionary that maps a tuple of source variable(s) to a derivation + function. + """ + dvars: DerivedVariablesMap = DERIVED_VARIABLES.copy() + user_dvars: DerivedVariablesMap = getattr(self.parameter, "derived_variables") + + # If the user-defined derived vars already exist, create a + # new OrderedDict that combines the user-defined entries with the + # existing ones in `e3sm_diags`. The user-defined entry should + # be the highest priority and must be first in the OrderedDict. + if user_dvars is not None: + for key, ordered_dict in user_dvars.items(): + if key in dvars.keys(): + dvars[key] = collections.OrderedDict(**ordered_dict, **dvars[key]) + else: + dvars[key] = ordered_dict + + return dvars + + # Attribute related methods + # -------------------------------------------------------------------------- + def get_name_yrs_attr(self, season: CLIMO_FREQ | None = None) -> str: + """Get the diagnostic name and 'yrs_averaged' attr as a single string. + + This method is used to update either `parameter.test_name_yrs` or + `parameter.ref_name_yrs`, depending on `self.data_type`. + + If the dataset is contains a climatology, attempt to get "yrs_averaged" + from the global attributes of the netCDF file. If this attribute cannot + be retrieved, only return the diagnostic name. + + Parameters + ---------- + season : CLIMO_FREQ | None, optional + The climatology frequency, by default None. + + Returns + ------- + str + The name and years average string. + Example: "historical_H1 (2000-2002)" + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.get_name_and_yrs` + """ + if self.data_type == "test": + diag_name = self._get_test_name() + elif self.data_type == "ref": + diag_name = self._get_ref_name() + + if self.is_climo: + if season is None: + raise ValueError( + "A `season` argument must be supplied for climatology datasets " + "to try to get the global attribute 'yrs_averaged'." + ) + + yrs_averaged_attr = self._get_global_attr_from_climo_dataset( + "yrs_averaged", season + ) + + if yrs_averaged_attr is None: + return diag_name + + elif self.is_time_series: + yrs_averaged_attr = f"{self.start_yr}-{self.end_yr}" + + return f"{diag_name} ({yrs_averaged_attr})" + + def _get_test_name(self) -> str: + """Get the diagnostic test name. + + Returns + ------- + str + The diagnostic test name. + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.get_name` + """ + if self.parameter.short_test_name != "": + return self.parameter.short_test_name + elif self.parameter.test_name != "": + return self.parameter.test_name + + raise AttributeError( + "Either `parameter.short_test_name` or `parameter.test_name attributes` " + "must be set to get the name and years attribute for test datasets." + ) + + def _get_ref_name(self) -> str: + """Get the diagnostic reference name. + + Returns + ------- + str + The diagnostic reference name. + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.get_name` + """ + if self.parameter.short_ref_name != "": + return self.parameter.short_ref_name + elif self.parameter.reference_name != "": + return self.parameter.reference_name + elif self.parameter.ref_name != "": + return self.parameter.ref_name + + raise AttributeError( + "Either `parameter.short_ref_name`, `parameter.reference_name`, or " + "`parameter.ref_name` must be set to get the name and years attribute for " + "reference datasets." + ) + + return self.parameter.ref_name + + def _get_global_attr_from_climo_dataset( + self, attr: str, season: CLIMO_FREQ + ) -> str | None: + """Get the global attribute from the climo file based on the season. + + Parameters + ---------- + attr : str + The attribute to get (e.g., "Convention"). + season : CLIMO_FREQ + The climatology frequency. + + Returns + ------- + str | None + The attribute string if it exists, otherwise None. + """ + filepath = self._get_climo_filepath(season) + + ds = xr.open_dataset(filepath) + attr_val = ds.attrs.get(attr) + + return attr_val + + # -------------------------------------------------------------------------- + # Climatology related methods + # -------------------------------------------------------------------------- + def get_ref_climo_dataset( + self, var_key: str, season: CLIMO_FREQ, ds_test: xr.Dataset + ): + """Get the reference climatology dataset for the variable and season. + + If the reference climatatology does not exist or could not be found, it + will be considered a model-only run. For this case the test dataset + is returned as a default value and subsequent metrics calculations will + only be performed on the original test dataset. + + Parameters + ---------- + var_key : str + The key of the variable. + season : CLIMO_FREQ + The climatology frequency. + ds_test : xr.Dataset + The test dataset, which is returned if the reference climatology + does not exist or could not be found. + + Returns + ------- + xr.Dataset + The reference climatology if it exists or a copy of the test dataset + if it does not exist. + + Raises + ------ + RuntimeError + If `self.data_type` is not "ref". + """ + # TODO: This logic was carried over from legacy implementation. It + # can probably be improved on by setting `ds_ref = None` and not + # performing unnecessary operations on `ds_ref` for model-only runs, + # since it is the same as `ds_test``. + if self.data_type == "ref": + try: + ds_ref = self.get_climo_dataset(var_key, season) + self.model_only = False + except (RuntimeError, IOError): + ds_ref = ds_test.copy() + self.model_only = True + + logger.info("Cannot process reference data, analyzing test data only.") + else: + raise RuntimeError( + "`Dataset._get_ref_dataset` only works with " + f"`self.data_type == 'ref'`, not {self.data_type}." + ) + + return ds_ref + + def get_climo_dataset(self, var: str, season: CLIMO_FREQ) -> xr.Dataset: + """Get the dataset containing the climatology variable. + + These variables can either be from the test data or reference data. + If the variable is already a climatology variable, then get it directly + from the dataset. If the variable is a time series variable, get the + variable from the dataset and compute the climatology based on the + selected frequency. + + Parameters + ---------- + var : str + The key of the climatology or time series variable to get the + dataset for. + season : CLIMO_FREQ, optional + The season for the climatology. + + Returns + ------- + xr.Dataset + The dataset containing the climatology variable. + + Raises + ------ + ValueError + If the specified variable is not a valid string. + ValueError + If the specified season is not a valid string. + ValueError + If unable to determine if the variable is a reference or test + variable and where to find the variable (climatology or time series + file). + """ + self.var = var + + if not isinstance(self.var, str) or self.var == "": + raise ValueError("The `var` argument is not a valid string.") + if not isinstance(season, str) or season not in CLIMO_FREQS: + raise ValueError( + "The `season` argument is not a valid string. Options include: " + f"{CLIMO_FREQS}" + ) + + if self.is_climo: + ds = self._get_climo_dataset(season) + elif self.is_time_series: + ds = self.get_time_series_dataset(var) + ds[self.var] = climo(ds, self.var, season) + + return ds + + def _get_climo_dataset(self, season: str) -> xr.Dataset: + """Get the climatology dataset for the variable and season. + + Parameters + ---------- + season : str + The season for the climatology. + + Returns + ------- + xr.Dataset + The climatology dataset. + + Raises + ------ + IOError + If the variable was not found in the dataset or able to be derived + using other datasets. + """ + filepath = self._get_climo_filepath(season) + ds = xr.open_dataset(filepath, use_cftime=True) + + if self.var in ds.variables: + pass + elif self.var in self.derived_vars_map: + ds = self._get_dataset_with_derived_climo_var(ds) + else: + raise IOError( + f"Variable '{self.var}' was not in the file '{filepath}', nor was " + "it defined in the derived variables dictionary." + ) + + ds = self._squeeze_time_dim(ds) + + return ds + + def _get_climo_filepath(self, season: str) -> str: + """Return the path to the climatology file. + + There are three patterns for matching a file, with the first match + being returned if any match is found: + + 1. Using the reference/test file parameters if they are set (`ref_file`, + `test_file`). + - {reference_data_path}/{ref_file} + - {test_data_path}/{test_file} + 2. Using the reference/test name and season. + - {reference_data_path}/{ref_name}_{season}.nc + - {test_data_path}/{test_name}_{season}.nc + 3. Using the reference or test name as a nested directory with the same + name as the filename with a season. + - General match pattern: + - {reference_data_path}/{ref_name}/{ref_name}_{season}.nc + - {test_data_path}/{test_name}/{test_name}_{season}.nc + - Patern for model-only data for season in "ANN" "DJF", "MAM", "JJA", + or "SON": + - {reference_data_path}/{ref_name}/{ref_name}.*{season}.*.nc + - {test_data_path}/{test_name}/{test_name}.*{season}.*.nc + + Parameters + ---------- + season : str + The season for the climatology. + + Returns + ------- + str + The path to the climatology file. + """ + # First pattern attempt. + filepath = self._get_climo_filepath_with_params() + + # Second and third pattern attempts. + if filepath is None: + if self.data_type == "ref": + filename = self.parameter.ref_name + elif self.data_type == "test": + filename = self.parameter.test_name + + filepath = self._find_climo_filepath(filename, season) + + # If absolutely no filename was found, then raise an error. + if filepath is None: + raise IOError( + f"No file found for '{filename}' and '{season}' in {self.root_path}" + ) + + return filepath + + def _get_climo_filepath_with_params(self) -> str | None: + """Get the climatology filepath using parameters. + + Returns + ------- + str | None + The filepath using the `ref_file` or `test_file` parameter if they + are set. + """ + filepath = None + + if self.data_type == "ref": + if self.parameter.ref_file != "": + filepath = os.path.join(self.root_path, self.parameter.ref_file) + + elif self.data_type == "test": + if hasattr(self.parameter, "test_file"): + filepath = os.path.join(self.root_path, self.parameter.test_file) + + return filepath + + def _find_climo_filepath(self, filename: str, season: str) -> str | None: + """Find the climatology filepath for the variable. + + Parameters + ---------- + filename : str + The filename for the climatology variable. + season : str + The season for climatology. + + Returns + ------- + str | None + The filepath for the climatology variable. + """ + # First attempt: try to find the climatology file based on season. + # Example: {path}/{filename}_{season}.nc + filepath = self._find_climo_filepath_with_season( + self.root_path, filename, season + ) + + # Second attempt: try looking for the file nested in a folder, based on + # the test_name. + # Example: {path}/{filename}/{filename}_{season}.nc + # data_path/some_file/some_file_ANN.nc + if filepath is None: + nested_root_path = os.path.join(self.root_path, filename) + + if os.path.exists(nested_root_path): + filepath = self._find_climo_filepath_with_season( + nested_root_path, filename, season + ) + + return filepath + + def _find_climo_filepath_with_season( + self, root_path: str, filename: str, season: str + ) -> str | None: + """Find climatology filepath with a root path, filename, and season. + + Parameters + ---------- + root_path : str + The root path containing `.nc` files. The `.nc` files can be nested + in sub-directories within the root path. + filename : str + The filename for the climatology variable. + season : str + The season for climatology. + + Returns + ------- + str | None + The climatology filepath based on season, if it exists. + """ + files_in_dir = sorted(os.listdir(root_path)) + + # If the filename is followed by _. + for file in files_in_dir: + if file.startswith(filename + "_" + season): + return os.path.join(root_path, file) + + # For model only data, the string can by anywhere in the + # filename if the season is in ["ANN", "DJF", "MAM", "JJA", "SON"]. + if season in ["ANN", "DJF", "MAM", "JJA", "SON"]: + for file in files_in_dir: + if file.startswith(filename) and season in file: + return os.path.join(root_path, file) + + return None + + def _get_dataset_with_derived_climo_var(self, ds: xr.Dataset) -> xr.Dataset: + """Get the dataset containing the derived variable (`self.var`). + + Parameters + ---------- + ds: xr.Dataset + The climatology dataset, whic should contain the source variables + for deriving the target variable. + + Returns + ------- + xr.Dataset + The dataset with the derived variable. + """ + # An OrderedDict mapping possible source variables to the function + # for deriving the variable of interest. + # Example: {('PRECC', 'PRECL'): func, ('pr',): func1, ...} + target_var = self.var + target_var_map = self.derived_vars_map[target_var] + + # Get the first valid source variables and its derivation function. + # The source variables are checked to exist in the dataset object + # and the derivation function is used to derive the target variable. + # Example: + # For target variable "PRECT": {('PRECC', 'PRECL'): func} + matching_target_var_map = self._get_matching_climo_src_vars( + ds, target_var, target_var_map + ) + # Since there's only one set of vars, we get the first and only set + # of vars from the derived variable dictionary. + src_var_keys = list(matching_target_var_map.keys())[0] + + # Get the source variable DataArrays and apply the derivation function. + # Example: + # [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] + src_vars = [] + for var in src_var_keys: + src_vars.append(ds[var]) + + derivation_func = list(matching_target_var_map.values())[0] + derived_var: xr.DataArray = derivation_func(*src_vars) + + # Add the derived variable to the final xr.Dataset object and return it. + ds_final = ds.copy() + ds_final[target_var] = derived_var + + return ds_final + + def _get_matching_climo_src_vars( + self, + dataset: xr.Dataset, + target_var: str, + target_variable_map: DerivedVariableMap, + ) -> Dict[Tuple[str, ...], Callable]: + """Get the matching climatology source vars based on the target variable. + + Parameters + ---------- + dataset : xr.Dataset + The dataset containing the source variables. + target_var : str + The target variable to derive. + target_var_map : TARGET_VARIABLE_MAP + An ordered dictionary mapping the target variable's source variables + to their derivation functions. + + Returns + ------- + DerivedVariableMap + The matching dictionary with the key being the source variables + and the value being the derivation function. + + Raises + ------ + IOError + If the datasets for the target variable and source variables were + not found in the data directory. + """ + vars_in_file = set(dataset.data_vars.keys()) + + # Example: [('pr',), ('PRECC', 'PRECL')] + possible_vars = list(target_variable_map.keys()) + + # Try to get the var using entries from the dictionary. + for var_tuple in possible_vars: + var_list = list(var_tuple).copy() + + for vars in var_tuple: + # Add support for wild card `?` in variable strings + # Example: ('bc_a?DDF', 'bc_c?DDF') + if "?" in vars: + var_list += fnmatch.filter(list(vars_in_file), vars) + var_list.remove(vars) + + if vars_in_file.issuperset(tuple(var_list)): + # All of the variables (list_of_vars) are in data_file. + # Return the corresponding dict. + return {tuple(var_list): target_variable_map[var_tuple]} + + raise IOError( + f"The dataset file has no matching souce variables for {target_var}" + ) + + # -------------------------------------------------------------------------- + # Time series related methods + # -------------------------------------------------------------------------- + def get_time_series_dataset( + self, var: str, single_point: bool = False + ) -> xr.Dataset: + """Get variables from time series datasets. + + Variables must exist in the time series files. These variables can + either be from the test data or reference data. + + Parameters + ---------- + var : str + The key of the time series variable to get the dataset for. + single_point : bool, optional + Single point indicating the data is sub monthly, by default False. + If True, center the time coordinates using time bounds. + + Returns + ------- + xr.Dataset + The time series Dataset. + + Raises + ------ + ValueError + If the dataset is not a time series. + ValueError + If the `var` argument is not a string or an empty string. + IOError + If the variable does not have a file in the specified directory + and it was not defined in the derived variables dictionary. + """ + self.var = var + + if not self.is_time_series: + raise ValueError("You can only use this function with time series data.") + + if not isinstance(self.var, str) or self.var == "": + raise ValueError("The `var` argument is not a valid string.") + + if self.var in self.derived_vars_map: + ds = self._get_dataset_with_derived_ts_var() + else: + ds = self._get_time_series_dataset_obj(self.var) + + if single_point: + ds = xc.center_times(ds) + + return ds + + def _get_dataset_with_derived_ts_var(self) -> xr.Dataset: + """Get the dataset containing the derived time series variable. + + Returns + ------- + xr.Dataset + The dataset with the derived time series variable. + """ + # An OrderedDict mapping possible source variables to the function + # for deriving the variable of interest. + # Example: {('PRECC', 'PRECL'): func, ('pr',): func1, ...} + target_var = self.var + target_var_map = self.derived_vars_map[target_var] + + # Get the first valid source variables and its derivation function. + # The source variables are checked to exist in the dataset object + # and the derivation function is used to derive the target variable. + # Example: + # For target variable "PRECT": {('PRECC', 'PRECL'): func} + matching_target_var_map = self._get_matching_time_series_src_vars( + self.root_path, target_var_map + ) + src_var_keys = list(matching_target_var_map.keys())[0] + + # Unlike the climatology dataset, the source variables for + # time series data can be found in multiple datasets so a single + # xr.Dataset object is returned containing all of them. + ds = self._get_dataset_with_source_vars(src_var_keys) + + # Get the source variable DataArrays. + # Example: + # [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] + src_vars = [ds[var] for var in src_var_keys] + + # Using the source variables, apply the matching derivation function. + derivation_func = list(matching_target_var_map.values())[0] + derived_var: xr.DataArray = derivation_func(*src_vars) + + # Add the derived variable to the final xr.Dataset object and return it. + ds[target_var] = derived_var + + return ds + + def _get_matching_time_series_src_vars( + self, path: str, target_var_map: DerivedVariableMap + ) -> Dict[Tuple[str, ...], Callable]: + """Get the matching time series source vars based on the target variable. + + Parameters + ---------- + path: str + The path containing the dataset(s). + target_var_map : DerivedVariableMap + An ordered dictionary for a target variable that maps a tuple of + source variable(s) to a derivation function. + + Returns + ------- + DerivedVariableMap + The matching dictionary with the key being the source variable(s) + and the value being the derivation function. + + Raises + ------ + IOError + If the datasets for the target variable and source variables were + not found in the data directory. + """ + # Example: [('pr',), ('PRECC', 'PRECL')] + possible_vars = list(target_var_map.keys()) + + # Loop over the tuples of possible source variable and try to get + # the matching derived variables dictionary if the files exist in the + # time series filepath. + for tuple_of_vars in possible_vars: + if all(self._get_timeseries_filepath(path, var) for var in tuple_of_vars): + # All of the variables (list_of_vars) have files in data_path. + # Return the corresponding dict. + return {tuple_of_vars: target_var_map[tuple_of_vars]} + + # None of the entries in the derived variables dictionary are valid, + # so try to get the dataset for the variable directly. + # Example file name: {var}_{start_yr}01_{end_yr}12.nc. + if self._get_timeseries_filepath(path, self.var): + return {(self.var,): lambda x: x} + + raise IOError( + f"Neither does {self.var} nor the variables in {possible_vars} " + f"have valid files in {path}." + ) + + def _get_dataset_with_source_vars(self, vars_to_get: Tuple[str, ...]) -> xr.Dataset: + """Get the variables from datasets in the specified path. + + Parameters + ---------- + path : str + The path to the datasets. + vars_to_get: Tuple[str] + The source variables used to derive the target variable. + + Returns + ------- + xr.Dataset + The dataset with the source variables. + """ + datasets = [] + + for var in vars_to_get: + ds = self._get_time_series_dataset_obj(var) + datasets.append(ds) + + ds = xr.merge(datasets) + + return ds + + def _get_time_series_dataset_obj(self, var) -> xr.Dataset: + """Get the time series dataset for a variable. + + This method also parses the start and end time from the dataset filename + to subset the dataset. + + Returns + ------- + xr.Dataset + The dataset for the variable. + """ + filename = self._get_timeseries_filepath(self.root_path, var) + + if filename == "": + raise IOError( + f"No time series `.nc` file was found for '{var}' in '{self.root_path}'" + ) + + time_slice = self._get_time_slice(filename) + + ds = xr.open_dataset(filename, decode_times=True, use_cftime=True) + ds_subset = ds.sel(time=time_slice).squeeze() + + return ds_subset + + def _get_timeseries_filepath(self, root_path: str, var_key: str) -> str: + """Get the matching variable time series filepath. + + This method globs the specified path for all `*.nc` files and attempts + to find a matching time series filepath for the specified variable. + + Example matching filenames. + - {var}_{start_yr}01_{end_yr}12.nc + - {self.parameters.ref_name}/{var}_{start_yr}01_{end_yr}12.nc + + If there are multiple files that exist for a variable (with different + start_yr or end_yr), return an empty string (""). + + Parameters + ---------- + root_path : str + The root path containing `.nc` files. The `.nc` files can be nested + in sub-directories within the root path. + var_key : str + The variable key used to find the time series file. + + Returns + ------- + str + The variable's time series filepath if a match is found. If + a match is not found, an empty string ("") is returned. + + Raises + ------ + IOError + Multiple time series files found for the specified variable. + IOError + Multiple time series files found for the specified variable. + """ + # The filename pattern for matching using regex. + if self.parameter.sets[0] in ["arm_diags"]: + # Example: "ts_global_200001_200112.nc" + site = getattr(self.parameter, "regions", "") + filename_pattern = var_key + "_" + site[0] + TS_EXT_FILEPATTERN + else: + # Example: "ts_200001_200112.nc" + filename_pattern = var_key + TS_EXT_FILEPATTERN + + # Attempt 1 - try to find the file directly in `data_path` + # Example: {path}/ts_200001_200112.nc" + match = self._get_matching_time_series_filepath( + root_path, var_key, filename_pattern + ) + + # Attempt 2 - try to find the file in the `ref_name` directory, which + # is nested in `data_path`. + # Example: {path}/*/{ref_name}/*/ts_200001_200112.nc" + ref_name = getattr(self.parameter, "ref_name", None) + if match is None and ref_name is not None: + match = self._get_matching_time_series_filepath( + root_path, var_key, filename_pattern, ref_name + ) + + # If there are still no matching files, return an empty string. + if match is None: + return "" + + return match + + def _get_matching_time_series_filepath( + self, + root_path: str, + var_key: str, + filename_pattern: str, + ref_name: str | None = None, + ) -> str | None: + """Get the matching filepath. + + Parameters + ---------- + root_path : str + The root path containing `.nc` files. The `.nc` files can be nested + in sub-directories within the root path. + var_key : str + The variable key used to find the time series file. + filename_pattern : str + The filename pattern (e.g., "ts_200001_200112.nc"). + ref_name : str | None, optional + The directory name storing reference files, by default None. + + Returns + ------- + str | None + The matching filepath if it exists, or None if it doesn't. + + Raises + ------ + IOError + If there are more than one matching filepaths for a variable. + """ + if ref_name is None: + # Example: {path}/ts_200001_200112.nc" + glob_path = os.path.join(root_path, "*.*") + filepath_pattern = os.path.join(glob_path, filename_pattern) + else: + # Example: {path}/{ref_name}/ts_200001_200112.nc" + glob_path = os.path.join(root_path, ref_name, "*.*") + filepath_pattern = os.path.join(root_path, ref_name, filename_pattern) + + # Sort the filepaths and loop over them, then check if there are any + # regex matches using the filepath pattern. + filepaths = sorted(glob.glob(glob_path)) + matches = [f for f in filepaths if re.search(filepath_pattern, f)] + + if len(matches) == 1: + return matches[0] + elif len(matches) >= 2: + raise IOError( + ( + "There are multiple time series files found for the variable " + f"'{var_key}' in '{root_path}' but only one is supported. " + ) + ) + + return None + + def _get_time_slice(self, filename: str) -> slice: + """Get time slice to subset a dataset. + + Parameters + ---------- + filename : str + The filename. + + Returns + ------- + slice + A slice object with a start and end time in the format "YYYY-MM-DD". + + Raises + ------ + ValueError + If invalid date range specified for test/reference time series data. + """ + start_year = int(self.start_yr) + end_year = int(self.end_yr) + + if self.is_sub_monthly: + start_time = f"{start_year}-01-01" + end_time = f"{str(int(end_year) + 1)}-01-01" + else: + start_time = f"{start_year}-01-15" + end_time = f"{end_year}-12-15" + + # Get the available start and end years from the file name. + # Example: {var}_{start_yr}01_{end_yr}12.nc + var_start_year = int(filename.split("/")[-1].split("_")[-2][:4]) + var_end_year = int(filename.split("/")[-1].split("_")[-1][:4]) + + if start_year < var_start_year: + raise ValueError( + "Invalid year range specified for test/reference time series data: " + f"start_year ({start_year}) < var_start_yr ({var_start_year})." + ) + elif end_year > var_end_year: + raise ValueError( + "Invalid year range specified for test/reference time series data: " + f"end_year ({end_year}) > var_end_yr ({var_end_year})." + ) + + return slice(start_time, end_time) + + def _get_land_sea_mask(self, season: str) -> xr.Dataset: + """Get the land sea mask from the dataset or use the default file. + + Land sea mask variables are time invariant which means the time + dimension will be squeezed and dropped from the final xr.Dataset + output since it is not needed. + + Parameters + ---------- + season : str + The season to subset on. + + Returns + ------- + xr.Dataset + The xr.Dataset object containing the land sea mask variables + "LANDFRAC" and "OCNFRAC". + """ + try: + ds_land_frac = self.get_climo_dataset(LAND_FRAC_KEY, season) # type: ignore + ds_ocean_frac = self.get_climo_dataset(OCEAN_FRAC_KEY, season) # type: ignore + except IOError as e: + logger.info( + f"{e}. Using default land sea mask located at `{LAND_OCEAN_MASK_PATH}`." + ) + + ds_mask = xr.open_dataset(LAND_OCEAN_MASK_PATH) + ds_mask = self._squeeze_time_dim(ds_mask) + else: + ds_mask = xr.merge([ds_land_frac, ds_ocean_frac]) + + return ds_mask + + def _squeeze_time_dim(self, ds: xr.Dataset) -> xr.Dataset: + """Squeeze single coordinate climatology time dimensions. + + For example, "ANN" averages over the year and collapses the time dim. + Parameters + ---------- + ds : xr.Dataset + _description_ + + Returns + ------- + xr.Dataset + _description_ + """ + dim = xc.get_dim_keys(ds[self.var], axis="T") + ds = ds.squeeze(dim=dim) + ds = ds.drop_vars(dim) + + return ds diff --git a/e3sm_diags/driver/utils/general.py b/e3sm_diags/driver/utils/general.py index b4d5b07fd..eac19e19f 100644 --- a/e3sm_diags/driver/utils/general.py +++ b/e3sm_diags/driver/utils/general.py @@ -1,6 +1,5 @@ from __future__ import print_function -import copy import errno import os from pathlib import Path @@ -187,14 +186,11 @@ def select_region_lat_lon(region, var, parameter): def select_region(region, var, land_frac, ocean_frac, parameter): """Select desired regions from transient variables.""" - domain = None - # if region != 'global': if region.find("land") != -1 or region.find("ocean") != -1: if region.find("land") != -1: land_ocean_frac = land_frac elif region.find("ocean") != -1: land_ocean_frac = ocean_frac - region_value = regions_specs[region]["value"] # type: ignore land_ocean_frac = land_ocean_frac.regrid( var.getGrid(), @@ -202,17 +198,13 @@ def select_region(region, var, land_frac, ocean_frac, parameter): regridMethod=parameter.regrid_method, ) - var_domain = mask_by(var, land_ocean_frac, low_limit=region_value) - else: - var_domain = var - - try: - # if region.find('global') == -1: - domain = regions_specs[region]["domain"] # type: ignore - except Exception: - pass + # Only mask variable values < region value (the lower limit). + region_value = regions_specs[region]["value"] # type: ignore + var.mask = land_ocean_frac < region_value - var_domain_selected = var_domain(domain) + # If the region is not global, then it can have a domain. + domain = regions_specs[region].get("domain", None) # type: ignore + var_domain_selected = var(domain) var_domain_selected.units = var.units return var_domain_selected @@ -264,30 +256,6 @@ def regrid_to_lower_res(mv1, mv2, regrid_tool, regrid_method): return mv1_reg, mv2_reg -def mask_by(input_var, maskvar, low_limit=None, high_limit=None): - """masks a variable var to be missing except where maskvar>=low_limit and maskvar<=high_limit. - None means to omit the constrint, i.e. low_limit = -infinity or high_limit = infinity. - var is changed and returned; we don't make a new variable. - var and maskvar: dimensioned the same variables. - low_limit and high_limit: scalars. - """ - var = copy.deepcopy(input_var) - if low_limit is None and high_limit is None: - return var - if low_limit is None and high_limit is not None: - maskvarmask = maskvar > high_limit - elif low_limit is not None and high_limit is None: - maskvarmask = maskvar < low_limit - else: - maskvarmask = (maskvar < low_limit) | (maskvar > high_limit) - if var.mask is False: - newmask = maskvarmask - else: - newmask = var.mask | maskvarmask - var.mask = newmask - return var - - def save_transient_variables_to_netcdf(set_num, variables_dict, label, parameter): """ Save the transient variables to nc file. diff --git a/e3sm_diags/driver/utils/io.py b/e3sm_diags/driver/utils/io.py new file mode 100644 index 000000000..09e4794da --- /dev/null +++ b/e3sm_diags/driver/utils/io.py @@ -0,0 +1,159 @@ +from __future__ import annotations + +import errno +import json +import os +from typing import Callable + +import xarray as xr + +from e3sm_diags.driver.utils.type_annotations import MetricsDict +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter + +logger = custom_logger(__name__) + + +def _save_data_metrics_and_plots( + parameter: CoreParameter, + plot_func: Callable, + var_key: str, + ds_test: xr.Dataset, + ds_ref: xr.Dataset | None, + ds_diff: xr.Dataset | None, + metrics_dict: MetricsDict | None, +): + """Save data (optional), metrics, and plots. + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + plot_func: Callable + The plot function for the diagnostic set. + var_key : str + The variable key. + ds_test : xr.Dataset + The test dataset. + ds_ref : xr.Dataset | None + The optional reference dataset. If the diagnostic is a model-only run, + then it will be None. + ds_diff : xr.Dataset | None + The optional difference dataset. If the diagnostic is a model-only run, + then it will be None. + metrics_dict : Metrics + The dictionary containing metrics for the variable. + """ + if parameter.save_netcdf: + _write_vars_to_netcdf( + parameter, + var_key, + ds_test, + ds_ref, + ds_diff, + ) + + output_dir = _get_output_dir(parameter) + filename = f"{parameter.output_file}.json" + filepath = os.path.join(output_dir, filename) + + if metrics_dict is not None: + with open(filepath, "w") as outfile: + json.dump(metrics_dict, outfile) + + logger.info(f"Metrics saved in {filepath}") + + # Set the viewer description to the "long_name" attr of the variable. + parameter.viewer_descr[var_key] = ds_test[var_key].attrs.get( + "long_name", "No long_name attr in test data" + ) + + plot_func( + parameter, + ds_test[var_key], + ds_ref[var_key] if ds_ref is not None else None, + ds_diff[var_key] if ds_diff is not None else None, + metrics_dict, + ) + + +def _write_vars_to_netcdf( + parameter: CoreParameter, + var_key, + ds_test: xr.Dataset, + ds_ref: xr.Dataset | None, + ds_diff: xr.Dataset | None, +): + """Saves the test, reference, and difference variables to netCDF files. + + Parameters + ---------- + parameter : CoreParameter + The parameter object used to configure the diagnostic runs for the + sets. The referenced attributes include `save_netcdf, `current_set`, + `var_id`, `ref_name`, and `output_file`, `results_dir`, and `case_id`. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_diff : Optional[xr.DataArray] + The optional dataset containing the difference between the test and + reference variables. + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.save_ncfiles()`. + """ + dir_path = _get_output_dir(parameter) + filename = f"{parameter.output_file}_output.nc" + output_file = os.path.join(dir_path, filename) + + ds_output = xr.Dataset() + ds_output[f"{var_key}_test"] = ds_test[var_key] + + if ds_ref is not None: + ds_output[f"{var_key}_ref"] = ds_ref[var_key] + + if ds_diff is not None: + ds_output[f"{var_key}_diff"] = ds_diff[var_key] + + ds_output.to_netcdf(output_file) + + logger.info(f"'{var_key}' variable outputs saved to `{output_file}`.") + + +def _get_output_dir(parameter: CoreParameter): + """Get the absolute dir path to store the outputs for a diagnostic run. + + If the directory does not exist, attempt to create it. + + When running e3sm_diags is executed with parallelism, a process for another + set can create the dir already so we can ignore creating the dir for this + set. + + Parameters + ---------- + parameter : CoreParameter + The parameter object used to configure the diagnostic runs for the sets. + The referenced attributes include `current_set`, `results_dir`, and + `case_id`. + + Raises + ------ + OSError + If the directory does not exist and could not be created. + """ + results_dir = parameter.results_dir + dir_path = os.path.join(results_dir, parameter.current_set, parameter.case_id) + + if not os.path.exists(dir_path): + try: + os.makedirs(dir_path, 0o755) + except OSError as e: + # For parallel runs, raise errors for all cases except when a + # process already created the directory. + if e.errno != errno.EEXIST: + raise OSError(e) + + return dir_path diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py new file mode 100644 index 000000000..e61476e95 --- /dev/null +++ b/e3sm_diags/driver/utils/regrid.py @@ -0,0 +1,683 @@ +from __future__ import annotations + +from typing import List, Literal, Tuple + +import xarray as xr +import xcdat as xc + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS +from e3sm_diags.driver import MASK_REGION_TO_VAR_KEY + +# Valid hybrid-sigma levels keys that can be found in datasets. +HYBRID_SIGMA_KEYS = { + "p0": ("p0", "P0"), + "ps": ("ps", "PS"), + "hyam": ("hyam", "hya", "a"), + "hybm": ("hybm", "hyb", "b"), +} + +REGRID_TOOLS = Literal["esmf", "xesmf", "regrid2"] + + +def has_z_axis(data_var: xr.DataArray) -> bool: + """Checks whether the data variable has a Z axis. + + Parameters + ---------- + data_var : xr.DataArray + The data variable. + + Returns + ------- + bool + True if data variable has Z axis, else False. + + Notes + ----- + Replaces `cdutil.variable.TransientVariable.getLevel()`. + """ + try: + get_z_axis(data_var) + return True + except KeyError: + return False + + +def get_z_axis(data_var: xr.DataArray) -> xr.DataArray: + """Gets the Z axis coordinates. + + Returns True if: + - Data variable has a "Z" axis in the cf-xarray mapping dict + - A coordinate has a matching "positive" attribute ("up" or "down") + - A coordinate has a matching "name" + - # TODO: conditional for valid pressure units with "Pa" + + Parameters + ---------- + data_var : xr.DataArray + The data variable. + + Returns + ------- + xr.DataArray + The Z axis coordinates. + + Notes + ----- + Based on + - https://cdms.readthedocs.io/en/latest/_modules/cdms2/avariable.html#AbstractVariable.getLevel + - https://cdms.readthedocs.io/en/latest/_modules/cdms2/axis.html#AbstractAxis.isLevel + """ + try: + z_coords = xc.get_dim_coords(data_var, axis="Z") + return z_coords + except KeyError: + pass + + for coord in data_var.coords.values(): + if coord.name in ["lev", "plev", "depth"]: + return coord + + raise KeyError( + f"No Z axis coordinate were found in the '{data_var.name}' " + "Make sure the variable has Z axis coordinates" + ) + + +def _apply_land_sea_mask( + ds: xr.Dataset, + ds_mask: xr.Dataset, + var_key: str, + region: Literal["land", "ocean"], + regrid_tool: str, + regrid_method: str, +) -> xr.Dataset: + """Apply a land or sea mask based on the region ("land" or "ocean"). + + Parameters + ---------- + ds: xr.Dataset + The dataset containing the variable. + ds_mask : xr.Dataset + The dataset containing the land sea region mask variables, "LANDFRAC" + and "OCEANFRAC". + var_key : str + The key the variable + region : Literal["land", "ocean"] + The region to mask. + regrid_tool : {"esmf", "xesmf", "regrid2"} + The regridding tool to use. Note, "esmf" is accepted for backwards + compatibility with e3sm_diags and is simply updated to "xesmf". + regrid_method : str + The regridding method to use. Refer to [1]_ for more information on + these options. + + esmf/xesmf options: + - "bilinear" + - "conservative" + - "conservative_normed" -- equivalent to "conservative" in cdms2 ESMF + - "patch" + - "nearest_s2d" + - "nearest_d2s" + + regrid2 options: + - "conservative" + + Returns + ------- + xr.Dataset + The Dataset with the land or sea mask applied to the variable. + """ + # TODO: Remove this conditional once "esmf" references are updated to + # "xesmf" throughout the codebase. + if regrid_tool == "esmf": + regrid_tool = "xesmf" + + # TODO: Remove this conditional once "conservative" references are updated + # to "conservative_normed" throughout the codebase. + # NOTE: this is equivalent to "conservative" in cdms2 ESMF. If + # "conservative" is chosen, it is updated to "conservative_normed". This + # logic can be removed once the CoreParameter.regrid_method default + # value is updated to "conservative_normed" and all sets have been + # refactored to use this function. + if regrid_method == "conservative": + regrid_method = "conservative_normed" + + # A dictionary storing the specifications for this region. + specs = REGION_SPECS[region] + + # If the region is land or ocean, regrid the land sea mask to the same + # shape (lat x lon) as the variable then apply the mask to the variable. + # Land and ocean masks have a region value which is used as the upper limit + # for masking. + output_grid = ds.regridder.grid + mask_var_key = MASK_REGION_TO_VAR_KEY[region] + + ds_mask_regrid = ds_mask.regridder.horizontal( + mask_var_key, + output_grid, + tool=regrid_tool, + method=regrid_method, + ) + + # Update the mask variable with a lower limit. All values below the + # lower limit will be masked. + land_sea_mask = ds_mask_regrid[mask_var_key] + lower_limit = specs["value"] # type: ignore + cond = land_sea_mask > lower_limit + + # Apply the mask with a condition (`cond`) using `.where()`. Note, the + # condition matches values to keep, not values to mask out, `drop` is + # set to False because we want to preserve the masked values (`np.nan`) + # for plotting purposes. + masked_var = ds[var_key].where(cond=cond, drop=False) + + ds[var_key] = masked_var + + return ds + + +def _subset_on_region(ds: xr.Dataset, var_key: str, region: str) -> xr.Dataset: + """Subset a variable in the dataset based on the region. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + var_key : str + The variable to subset. + region : str + The region + + Returns + ------- + xr.Dataset + The dataest with the subsetted variable. + + Notes + ----- + Replaces `e3sm_diags.utils.general.select_region`. + """ + specs = REGION_SPECS[region] + + lat, lon = specs.get("lat"), specs.get("lon") # type: ignore + + if lat is not None: + lat_dim = xc.get_dim_keys(ds[var_key], axis="Y") + ds = ds.sel({f"{lat_dim}": slice(*lat)}) + + if lon is not None: + lon_dim = xc.get_dim_keys(ds[var_key], axis="X") + ds = ds.sel({f"{lon_dim}": slice(*lon)}) + + return ds + + +def _subset_on_arm_coord(ds: xr.Dataset, var_key: str, arm_site: str): + """Subset a variable in the dataset on the specified ARM site coordinate. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + var_key : str + The variable to subset. + arm_site : str + The ARM site. + + Notes + ----- + Replaces `e3sm_diags.utils.general.select_point`. + """ + # TODO: Refactor this method with ARMS diagnostic set. + pass # pragma: no cover + + +def align_grids_to_lower_res( + ds_a: xr.Dataset, + ds_b: xr.Dataset, + var_key: str, + tool: REGRID_TOOLS, + method: str, +) -> Tuple[xr.Dataset, xr.Dataset]: + """Align the grids of two Dataset using the lower resolution of the two. + + Using the legacy logic, compare the number of latitude coordinates to + determine if A or B has lower resolution: + * If A is lower resolution (A <= B), regrid B -> A. + * If B is lower resolution (A > B), regrid A -> B. + + Parameters + ---------- + ds_a : xr.Dataset + The first Dataset containing ``var_key``. + ds_b : xr.Dataset + The second Dataset containing ``var_key``. + var_key : str + The key of the variable in both datasets to regrid. + tool : {"esmf", "xesmf", "regrid2"} + The regridding tool to use. Note, "esmf" is accepted for backwards + compatibility with e3sm_diags and is simply updated to "xesmf". + method : str + The regridding method to use. Refer to [1]_ for more information on + these options. + + esmf/xesmf options: + - "bilinear" + - "conservative" + - "conservative_normed" + - "patch" + - "nearest_s2d" + - "nearest_d2s" + + regrid2 options: + - "conservative" + + Returns + ------- + Tuple[xr.Dataset, xr.Dataset] + A tuple of both DataArrays regridded to the lower resolution of the two. + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.regrid_to_lower_res`. + + References + ---------- + .. [1] https://xcdat.readthedocs.io/en/stable/generated/xarray.Dataset.regridder.horizontal.html + """ + # TODO: Accept "esmf" as `tool` value for now because `CoreParameter` + # defines `self.regrid_tool="esmf"` by default and + # `e3sm_diags.driver.utils.general.regrid_to_lower_res()` accepts "esmf". + # Once this function is deprecated, we can remove "esmf" as an option here + # and update `CoreParameter.regrid_tool` to "xesmf"`. + if tool == "esmf": + tool = "xesmf" + + lat_a = xc.get_dim_coords(ds_a[var_key], axis="Y") + lat_b = xc.get_dim_coords(ds_b[var_key], axis="Y") + + is_a_lower_res = len(lat_a) <= len(lat_b) + + if is_a_lower_res: + output_grid = ds_a.regridder.grid + ds_b_regrid = ds_b.regridder.horizontal( + var_key, output_grid, tool=tool, method=method + ) + + return ds_a, ds_b_regrid + + output_grid = ds_b.regridder.grid + ds_a_regrid = ds_a.regridder.horizontal( + var_key, output_grid, tool=tool, method=method + ) + + return ds_a_regrid, ds_b + + +def regrid_z_axis_to_plevs( + dataset: xr.Dataset, + var_key: str, + plevs: List[int] | List[float], +) -> xr.Dataset: + """Regrid a variable's Z axis to the desired pressure levels (mb units). + + The Z axis (e.g., 'lev') must either include hybrid-sigma levels (which + are converted to pressure coordinates) or pressure coordinates. This is + determined determined by the "long_name" attribute being set to either + "hybrid", "isobaric", and "pressure". Afterwards, the pressure coordinates + are regridded to the specified pressure levels (``plevs``). + + Parameters + ---------- + dataset : xr.Dataset + The dataset with the variable on a Z axis. + var_key : str + The variable key. + plevs : List[int] | List[float] + A 1-D array of floats or integers representing output pressure levels + in mb units. This parameter is usually set by ``CoreParameter.plevs`` + attribute. For example, ``plevs=[850.0, 200.0]``. + + Returns + ------- + xr.Dataset + The dataset with the variables's Z axis regridded to the desired + pressure levels (mb units). + + Raises + ------ + KeyError + If the Z axis has no "long_name" attribute to determine whether it is + hybrid or pressure. + ValueError + If the Z axis "long_name" attribute is not "hybrid", "isobaric", + or "pressure". + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.convert_to_pressure_levels`. + """ + ds = dataset.copy() + + # Make sure that the input dataset has Z axis bounds, which are required for + # getting grid positions during vertical regridding. + try: + ds.bounds.get_bounds("Z") + except KeyError: + ds = ds.bounds.add_bounds("Z") + + z_axis = get_z_axis(ds[var_key]) + z_long_name = z_axis.attrs.get("long_name") + if z_long_name is None: + raise KeyError( + f"The vertical level ({z_axis.name}) for '{var_key}' does " + "not have a 'long_name' attribute to determine whether it is hybrid " + "or pressure." + ) + z_long_name = z_long_name.lower() + + # Hybrid must be the first conditional statement because the long_name attr + # can be "hybrid sigma pressure coordinate" which includes "hybrid" and + # "pressure". + if "hybrid" in z_long_name: + ds_plevs = _hybrid_to_plevs(ds, var_key, plevs) + elif "pressure" in z_long_name or "isobaric" in z_long_name: + ds_plevs = _pressure_to_plevs(ds, var_key, plevs) + else: + raise ValueError( + f"The vertical level ({z_axis.name}) for '{var_key}' is " + "not hybrid or pressure. Its long name must either include 'hybrid', " + "'pressure', or 'isobaric'." + ) + + # Add bounds for the new, regridded Z axis if the length is greater than 1. + # xCDAT does not support adding bounds for singleton coordinates. + new_z_axis = get_z_axis(ds_plevs[var_key]) + if len(new_z_axis) > 1: + ds_plevs = ds_plevs.bounds.add_bounds("Z") + + return ds_plevs + + +def _hybrid_to_plevs( + ds: xr.Dataset, + var_key: str, + plevs: List[int] | List[float], +) -> xr.Dataset: + """Regrid a variable's hybrid-sigma levels to the desired pressure levels. + + Steps: + 1. Create the output pressure grid using ``plevs``. + 2. Convert hybrid-sigma levels to pressure coordinates. + 3. Regrid the pressure coordinates to the output pressure grid (plevs). + + Parameters + ---------- + ds : xr.Dataset + The dataset with the variable using hybrid-sigma levels. + var_key : var_key. + The variable key. + plevs : List[int] | List[float] + A 1-D array of floats or integers representing output pressure levels + in mb units. For example, ``plevs=[850.0, 200.0]``. This parameter is + usually set by the ``CoreParameter.plevs`` attribute. + + Returns + ------- + xr.Dataset + The variable with a Z axis regridded to pressure levels (mb units). + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.hybrid_to_plevs`. + """ + # TODO: mb units are always expected, but we should consider checking + # the units to confirm whether or not unit conversion is needed. + z_axis, _ = xc.create_axis("lev", plevs, generate_bounds=False) + + pressure_grid = xc.create_grid(z=z_axis) + pressure_coords = _hybrid_to_pressure(ds, var_key) + # Keep the "axis" and "coordinate" attributes for CF mapping. + with xr.set_options(keep_attrs=True): + result = ds.regridder.vertical( + var_key, + output_grid=pressure_grid, + tool="xgcm", + method="log", + target_data=pressure_coords, + ) + + return result + + +def _hybrid_to_pressure(ds: xr.Dataset, var_key: str) -> xr.DataArray: + """Regrid hybrid-sigma levels to pressure coordinates (mb). + + Formula: p(k) = hyam(k) * p0 + hybm(k) * ps + * p: pressure data (mb). + * hyam: 1-D array equal to hybrid A coefficients. + * p0: Scalar numeric value equal to surface reference pressure with + the same units as "ps" (mb). + * hybm: 1-D array equal to hybrid B coefficients. + * ps: 2-D array equal to surface pressure data (mb, converted from Pa). + + Parameters + ---------- + ds : xr.Dataset + The dataset containing the variable and hybrid levels. + var_key : str + The variable key. + + Returns + ------- + xr.DataArray + The variable with a Z axis on pressure coordinates. + + Raises + ------ + KeyError + If the dataset does not contain pressure data (ps) or any of the + hybrid levels (hyam, hymb). + + Notes + ----- + This function is equivalent to `geocat.comp.interp_hybrid_to_pressure()` + and `cdutil.vertical.reconstructPressureFromHybrid()`. + """ + # p0 is statically set to mb (1000) instead of retrieved from the dataset + # because the pressure data should be in mb. + p0 = 1000 + ps = _get_hybrid_sigma_level(ds, "ps") + hyam = _get_hybrid_sigma_level(ds, "hyam") + hybm = _get_hybrid_sigma_level(ds, "hybm") + + if ps is None or hyam is None or hybm is None: + raise KeyError( + f"The dataset for '{var_key}' does not contain hybrid-sigma level 'ps', " + "'hyam' and/or 'hybm' to use for reconstructing to pressure data." + ) + + ps = _convert_dataarray_units_to_mb(ps) + + pressure_coords = hyam * p0 + hybm * ps + pressure_coords.attrs["units"] = "mb" + + return pressure_coords + + +def _get_hybrid_sigma_level( + ds: xr.Dataset, name: Literal["ps", "p0", "hyam", "hybm"] +) -> xr.DataArray | None: + """Get the hybrid-sigma level xr.DataArray from the xr.Dataset. + + This function retrieves the valid keys for the specified hybrid-sigma + level and loops over them. A dictionary look-up is performed and the first + match is returned. If there are no matches, None is returned. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + name : {"ps", "p0", "hyam", "hybm"} + The name of the hybrid-sigma level to get. + + Returns + ------- + xr.DataArray | None + The hybrid-sigma level xr.DataArray if found or None. + """ + keys = HYBRID_SIGMA_KEYS[name] + + for key in keys: + da = ds.get(key) + + if da is not None: + return da + + return None + + +def _pressure_to_plevs( + ds: xr.Dataset, + var_key: str, + plevs: List[int] | List[float], +) -> xr.Dataset: + """Regrids pressure coordinates to the desired pressure level(s). + + Parameters + ---------- + ds : xr.Dataset + The dataset with a variable using pressure data. + var_key : str + The variable key. + plevs : List[int] | List[float] + A 1-D array of floats or integers representing output pressure levels + in mb units. This parameter is usually set by ``CoreParameter.plevs`` + attribute. For example, ``plevs=[850.0, 200.0]``. + + Returns + ------- + xr.Dataset + The variable with a Z axis on pressure levels (mb). + + Notes + ----- + Replaces `e3sm_diags.driver.utils.general.pressure_to_plevs`. + """ + # Convert pressure coordinates and bounds to mb if it is not already in mb. + ds = _convert_dataset_units_to_mb(ds, var_key) + + # Create the output pressure grid to regrid to using the `plevs` array. + z_axis, _ = xc.create_axis("lev", plevs, generate_bounds=False) + pressure_grid = xc.create_grid(z=z_axis) + + # Keep the "axis" and "coordinate" attributes for CF mapping. + with xr.set_options(keep_attrs=True): + result = ds.regridder.vertical( + var_key, + output_grid=pressure_grid, + tool="xgcm", + method="log", + ) + + return result + + +def _convert_dataset_units_to_mb(ds: xr.Dataset, var_key: str) -> xr.Dataset: + """Convert a dataset's Z axis and bounds to mb if they are not in mb. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + var_key : str + The key of the variable. + + Returns + ------- + xr.Dataset + The dataset with a Z axis in mb units. + + Raises + ------ + RuntimeError + If the Z axis units does not align with the Z bounds units. + """ + z_axis = xc.get_dim_coords(ds[var_key], axis="Z") + z_bnds = ds.bounds.get_bounds(axis="Z", var_key=var_key) + + # Make sure that Z and Z bounds units are aligned. If units do not exist + # assume they are the same because bounds usually don't have a units attr. + z_axis_units = z_axis.attrs["units"] + z_bnds_units = z_bnds.attrs.get("units") + if z_bnds_units is not None and z_bnds_units != z_axis_units: + raise RuntimeError( + f"The units for '{z_bnds.name}' ({z_bnds_units}) " + f"does not align with '{z_axis.name}' ({z_axis_units}). " + ) + else: + z_bnds.attrs["units"] = z_axis_units + + # Convert Z and Z bounds and update them in the Dataset. + z_axis_new = _convert_dataarray_units_to_mb(z_axis) + ds = ds.assign_coords({z_axis.name: z_axis_new}) + + z_bnds_new = _convert_dataarray_units_to_mb(z_bnds) + z_bnds_new[z_axis.name] = z_axis_new + ds[z_bnds.name] = z_bnds_new + + return ds + + +def _convert_dataarray_units_to_mb(da: xr.DataArray) -> xr.DataArray: + """Convert a dataarray to mb (millibars) if they are not in mb. + + Unit conversion formulas: + * hPa = mb + * mb = Pa / 100 + * Pa = (mb * 100) + + The more common unit on weather maps is mb. + + Parameters + ---------- + da : xr.DataArray + An xr.DataArray, usually for "lev" or "ps". + + Returns + ------- + xr.DataArray + The DataArray in mb units. + + Raises + ------ + ValueError + If ``da`` DataArray has no 'units' attribute. + ValueError + If ``da`` DataArray has units not in mb or Pa. + """ + units = da.attrs.get("units") + + if units is None: + raise ValueError( + f"'{da.name}' has no 'units' attribute to determine if data is in'mb', " + "'hPa', or 'Pa' units." + ) + + if units == "Pa": + with xr.set_options(keep_attrs=True): + da = da / 100.0 + + da.attrs["units"] = "mb" + elif units == "hPa": + da.attrs["units"] = "mb" + elif units == "mb": + pass + else: + raise ValueError( + f"'{da.name}' should be in 'mb' or 'Pa' (which gets converted to 'mb'), " + f"not '{units}'." + ) + + return da diff --git a/e3sm_diags/driver/utils/type_annotations.py b/e3sm_diags/driver/utils/type_annotations.py new file mode 100644 index 000000000..4132e6514 --- /dev/null +++ b/e3sm_diags/driver/utils/type_annotations.py @@ -0,0 +1,9 @@ +from typing import Dict, List, Union + +# The type annotation for the metrics dictionary. The key is the +# type of metrics and the value is a sub-dictionary of metrics (key is metrics +# type and value is float). There is also a "unit" key representing the +# units for the variable. +UnitAttr = str +MetricsSubDict = Dict[str, Union[float, None, List[float]]] +MetricsDict = Dict[str, Union[UnitAttr, MetricsSubDict]] diff --git a/e3sm_diags/metrics/metrics.py b/e3sm_diags/metrics/metrics.py new file mode 100644 index 000000000..68e5a4fc1 --- /dev/null +++ b/e3sm_diags/metrics/metrics.py @@ -0,0 +1,207 @@ +"""This module stores functions to calculate metrics using Xarray objects.""" +from __future__ import annotations + +from typing import List + +import xarray as xr +import xcdat as xc +import xskillscore as xs + +from e3sm_diags.logger import custom_logger + +logger = custom_logger(__name__) + +AXES = ["X", "Y"] + + +def get_weights(ds: xr.Dataset): + """Get weights for the X and Y spatial axes. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + + Returns + ------- + xr.DataArray + Weights for the specified axis. + """ + return ds.spatial.get_weights(axis=["X", "Y"]) + + +def spatial_avg( + ds: xr.Dataset, var_key: str, as_list: bool = True +) -> List[float] | xr.DataArray: + """Compute a variable's weighted spatial average. + + Parameters + ---------- + ds : xr.Dataset + The dataset containing the variable. + var_key : str + The key of the varible. + as_list : bool + Return the spatial average as a list of floats, by default True. + If False, return an xr.DataArray. + + Returns + ------- + List[float] | xr.DataArray + The spatial average of the variable based on the specified axis. + + Raises + ------ + ValueError + If the axis argument contains an invalid value. + + Notes + ----- + Replaces `e3sm_diags.metrics.mean`. + """ + ds_avg = ds.spatial.average(var_key, axis=AXES, weights="generate") + results = ds_avg[var_key] + + if as_list: + return results.data.tolist() + + return results + + +def std(ds: xr.Dataset, var_key: str) -> List[float]: + """Compute the weighted standard deviation for a variable. + + Parameters + ---------- + ds : xr.Dataset + The dataset containing the variable. + var_key : str + The key of the variable. + + Returns + ------- + List[float] + The standard deviation of the variable based on the specified axis. + + Raises + ------ + ValueError + If the axis argument contains an invalid value. + + Notes + ----- + Replaces `e3sm_diags.metrics.std`. + """ + dv = ds[var_key].copy() + + weights = ds.spatial.get_weights(axis=AXES, data_var=var_key) + dims = _get_dims(dv, axis=AXES) + + result = dv.weighted(weights).std(dim=dims, keep_attrs=True) + + return result.data.tolist() + + +def correlation(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: + """Compute the correlation coefficient between two variables. + + This function uses the Pearson correlation coefficient. Refer to [1]_ for + more information. + + Parameters + ---------- + ds_a : xr.Dataset + The first dataset. + ds_b : xr.Dataset + The second dataset. + var_key: str + The key of the variable. + + Returns + ------- + List[float] + The weighted correlation coefficient. + + References + ---------- + + .. [1] https://en.wikipedia.org/wiki/Pearson_correlation_coefficient + + Notes + ----- + Replaces `e3sm_diags.metrics.corr`. + """ + var_a = ds_a[var_key] + var_b = ds_b[var_key] + + # Dimensions, bounds, and coordinates should be identical between datasets, + # so use the first dataset and variable to get dimensions and weights. + dims = _get_dims(var_a, axis=AXES) + weights = get_weights(ds_a) + + result = xs.pearson_r(var_a, var_b, dim=dims, weights=weights, skipna=True) + results_list = result.data.tolist() + + return results_list + + +def rmse(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: + """Calculates the root mean square error (RMSE) between two variables. + + Parameters + ---------- + ds_a : xr.Dataset + The first dataset. + ds_b : xr.Dataset + The second dataset. + var_key: str + The key of the variable. + + Returns + ------- + List[float] + The root mean square error. + + Notes + ----- + Replaces `e3sm_diags.metrics.rmse`. + """ + var_a = ds_a[var_key] + var_b = ds_b[var_key] + + # Dimensions, bounds, and coordinates should be identical between datasets, + # so use the first dataset and variable to get dimensions and weights. + dims = _get_dims(var_a, axis=AXES) + weights = get_weights(ds_a) + + result = xs.rmse(var_a, var_b, dim=dims, weights=weights, skipna=True) + results_list = result.data.tolist() + + return results_list + + +def _get_dims(da: xr.DataArray, axis: List[str]): + """Get the dimensions for an axis in an xarray.DataArray. + + The dimensions are passed to the ``dim`` argument in xarray or xarray-based + computational APIs, such as ``.std()``. + + Parameters + ---------- + da : xr.DataArray + The array. + axis : List[str] + A list of axis strings. + + Returns + ------- + List[str] + A list of dimensions. + """ + dims = [] + + for a in axis: + dim_key = xc.get_dim_keys(da, axis=a) + dims.append(dim_key) + + return dims diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index c7b75189f..961a050c6 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -1,8 +1,13 @@ +from __future__ import annotations + import copy import importlib import sys -from typing import Any, Dict, List +from typing import TYPE_CHECKING, Any, Dict, List +from e3sm_diags.derivations.derivations import DerivedVariablesMap +from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQ +from e3sm_diags.driver.utils.regrid import REGRID_TOOLS from e3sm_diags.logger import custom_logger logger = custom_logger(__name__) @@ -36,6 +41,10 @@ ] +if TYPE_CHECKING: + from e3sm_diags.driver.utils.dataset_xr import Dataset + + class CoreParameter: def __init__(self): # File I/O @@ -59,7 +68,7 @@ def __init__(self): # The name of the folder where the results (plots and nc files) will be # stored for a single run - self.case_id = "" + self.case_id: str = "" # Set to True to not generate a Viewer for the result. self.no_viewer: bool = False @@ -94,10 +103,10 @@ def __init__(self): self.current_set: str = "" self.variables: List[str] = [] - self.seasons: List[str] = ["ANN", "DJF", "MAM", "JJA", "SON"] + self.seasons: List[CLIMO_FREQ] = ["ANN", "DJF", "MAM", "JJA", "SON"] self.regions: List[str] = ["global"] - self.regrid_tool: str = "esmf" + self.regrid_tool: REGRID_TOOLS = "esmf" self.regrid_method: str = "conservative" self.plevs: List[float] = [] @@ -110,7 +119,9 @@ def __init__(self): # Diagnostic plot settings # ------------------------ self.main_title: str = "" - self.backend: str = "mpl" + # TODO: Remove `backend` because it is always e3sm_diags/plot/cartopy. + # This change cascades down to changes in `e3sm_diags.plot.plot`. + self.backend: str = "cartopy" self.save_netcdf: bool = False # Plot format settings @@ -123,7 +134,7 @@ def __init__(self): self.dpi: int = 150 self.arrows: bool = True self.logo: bool = False - self.contour_levels: List[str] = [] + self.contour_levels: List[float] = [] # Test plot settings self.test_name: str = "" @@ -134,8 +145,10 @@ def __init__(self): self.test_units: str = "" # Reference plot settings + # `ref_name` is used to search though the reference data directories. self.ref_name: str = "" self.ref_name_yrs: str = "" + # `reference_name` is printed above ref plots. self.reference_name: str = "" self.short_ref_name: str = "" self.reference_title: str = "" @@ -156,7 +169,7 @@ def __init__(self): self.diff_name: str = "" self.diff_title: str = "Model - Observation" self.diff_colormap: str = "diverging_bwr.rgb" - self.diff_levels: List[str] = [] + self.diff_levels: List[float] = [] self.diff_units: str = "" self.diff_type: str = "absolute" @@ -171,7 +184,7 @@ def __init__(self): self.fail_on_incomplete: bool = False # List of user derived variables, set in `dataset.Dataset`. - self.derived_variables: Dict[str, object] = {} + self.derived_variables: DerivedVariablesMap = {} # FIXME: This attribute is only used in `lat_lon_driver.py` self.model_only: bool = False @@ -228,6 +241,58 @@ def check_values(self): msg = "You need to define both the 'test_start_yr' and 'test_end_yr' parameter." raise RuntimeError(msg) + def _set_param_output_attrs( + self, + var_key: str, + season: str, + region: str, + ref_name: str, + ilev: float | None, + ): + """Set the parameter output attributes based on argument values. + + Parameters + ---------- + var_key : str + The variable key. + season : str + The season. + region : str + The region. + ref_name : str + The reference name. + ilev : float | None + The pressure level, by default None. This option is only set if the + variable is 3D. + """ + if ilev is None: + output_file = f"{ref_name}-{var_key}-{season}-{region}" + main_title = f"{var_key} {season} {region}" + else: + ilev_str = str(int(ilev)) + output_file = f"{ref_name}-{var_key}-{ilev_str}-{season}-{region}" + main_title = f"{var_key} {ilev_str} 'mb' {season} {region}" + + self.output_file = output_file + self.main_title = main_title + + def _set_name_yrs_attrs( + self, ds_test: Dataset, ds_ref: Dataset, season: CLIMO_FREQ + ): + """Set the test_name_yrs and ref_name_yrs attributes. + + Parameters + ---------- + ds_test : Dataset + The test dataset object used for setting ``self.test_name_yrs``. + ds_ref : Dataset + The ref dataset object used for setting ``self.ref_name_yrs``. + season : CLIMO_FREQ + The climatology frequency. + """ + self.test_name_yrs = ds_test.get_name_yrs_attr(season) + self.ref_name_yrs = ds_ref.get_name_yrs_attr(season) + def _run_diag(self) -> List[Any]: """Run the diagnostics for each set in the parameter. diff --git a/e3sm_diags/plot/__init__.py b/e3sm_diags/plot/__init__.py index e454008e5..82c3aa795 100644 --- a/e3sm_diags/plot/__init__.py +++ b/e3sm_diags/plot/__init__.py @@ -19,6 +19,8 @@ def _get_plot_fcn(backend, set_name): """Get the actual plot() function based on the backend and set_name.""" try: + # FIXME: Remove this conditional if "cartopy" is always used and update + # Coreparameter.backend default value to "cartopy". if backend in ["matplotlib", "mpl"]: backend = "cartopy" @@ -34,13 +36,17 @@ def _get_plot_fcn(backend, set_name): def plot(set_name, ref, test, diff, metrics_dict, parameter): - """Based on set_name and parameter.backend, call the correct plotting function. - - #TODO: Make metrics_dict a kwarg and update the other plot() functions - """ + """Based on set_name and parameter.backend, call the correct plotting function.""" + # FIXME: This function isn't necessary and adds complexity through nesting + # of imports and function calls. Each driver should call its plot module + # directly. + # FIXME: Remove the if statement because none of the parameter classes + # have a .plot() method if hasattr(parameter, "plot"): parameter.plot(ref, test, diff, metrics_dict, parameter) else: + # FIXME: Remove this if statement because .backend is always "mpl" + # which gets converted to "cartopy" in `_get_plot_fcn`. if parameter.backend not in ["cartopy", "mpl", "matplotlib"]: raise RuntimeError('Invalid backend, use "matplotlib"/"mpl"/"cartopy"') diff --git a/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py b/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py index 9f43dc8df..765235095 100644 --- a/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py +++ b/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py @@ -7,7 +7,7 @@ from e3sm_diags.driver.utils.general import get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.metrics import mean -from e3sm_diags.plot.cartopy.lat_lon_plot import plot_panel +from e3sm_diags.plot.cartopy.deprecated_lat_lon_plot import plot_panel matplotlib.use("Agg") import matplotlib.pyplot as plt # isort:skip # noqa: E402 @@ -36,6 +36,7 @@ def plot(test, test_site, ref_site, parameter): max1 = test.max() min1 = test.min() mean1 = mean(test) + # TODO: Replace this function call with `e3sm_diags.plot.utils._add_colormap()`. plot_panel( 0, fig, @@ -93,6 +94,7 @@ def plot(test, test_site, ref_site, parameter): # legend plt.legend(frameon=False, prop={"size": 5}) + # TODO: This section can be refactored to use `plot.utils._save_plot()`. for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( diff --git a/e3sm_diags/plot/cartopy/lat_lon_plot.py b/e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py similarity index 97% rename from e3sm_diags/plot/cartopy/lat_lon_plot.py rename to e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py index 117be5889..4eaebcf80 100644 --- a/e3sm_diags/plot/cartopy/lat_lon_plot.py +++ b/e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py @@ -1,3 +1,10 @@ +""" +WARNING: This module has been deprecated and replaced by +`e3sm_diags.plot.lat_lon_plot.py`. This file temporarily kept because +`e3sm_diags.plot.cartopy.aerosol_aeronet_plot.plot` references the +`plot_panel()` function. Once the aerosol_aeronet set is refactored, this +file can be deleted. +""" from __future__ import print_function import os diff --git a/e3sm_diags/plot/cartopy/taylor_diagram.py b/e3sm_diags/plot/cartopy/taylor_diagram.py index 3a87658b7..ec42526fa 100644 --- a/e3sm_diags/plot/cartopy/taylor_diagram.py +++ b/e3sm_diags/plot/cartopy/taylor_diagram.py @@ -35,8 +35,8 @@ def __init__(self, refstd, fig=None, rect=111, label="_"): tr = PolarAxes.PolarTransform() # Correlation labels - rlocs = np.concatenate((np.arange(10) / 10.0, [0.95, 0.99])) # type: ignore - tlocs = np.arccos(rlocs) # Conversion to polar angles + rlocs: np.ndarray = np.concatenate((np.arange(10) / 10.0, [0.95, 0.99])) # type: ignore + tlocs = np.arccos(rlocs) # Conversion to polar angles # type: ignore gl1 = GF.FixedLocator(tlocs) # Positions gl2_num = np.linspace(0, 1.5, 7) gl2 = GF.FixedLocator(gl2_num) diff --git a/e3sm_diags/plot/cartopy/lat_lon_land_plot.py b/e3sm_diags/plot/lat_lon_land_plot.py similarity index 71% rename from e3sm_diags/plot/cartopy/lat_lon_land_plot.py rename to e3sm_diags/plot/lat_lon_land_plot.py index c7da4782d..4e619cde5 100644 --- a/e3sm_diags/plot/cartopy/lat_lon_land_plot.py +++ b/e3sm_diags/plot/lat_lon_land_plot.py @@ -1,6 +1,6 @@ from __future__ import print_function -from e3sm_diags.plot.cartopy.lat_lon_plot import plot as base_plot +from e3sm_diags.plot.lat_lon_plot import plot as base_plot def plot(reference, test, diff, metrics_dict, parameter): diff --git a/e3sm_diags/plot/lat_lon_plot.py b/e3sm_diags/plot/lat_lon_plot.py new file mode 100644 index 000000000..a6b8a0da0 --- /dev/null +++ b/e3sm_diags/plot/lat_lon_plot.py @@ -0,0 +1,103 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING + +import matplotlib +import xarray as xr + +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.utils import _add_colormap, _save_plot + +if TYPE_CHECKING: + from e3sm_diags.driver.lat_lon_driver import MetricsDict + + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray | None, + da_diff: xr.DataArray | None, + metrics_dict: MetricsDict, +): + """Plot the variable's metrics generated for the lat_lon set. + + Parameters + ---------- + parameter : CoreParameter + The CoreParameter object containing plot configurations. + da_test : xr.DataArray + The test data. + da_ref : xr.DataArray | None + The optional reference data. + ds_diff : xr.DataArray | None + The difference between ``ds_test_regrid`` and ``ds_ref_regrid``. + metrics_dict : Metrics + The metrics. + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) + + # The variable units. + units = metrics_dict["unit"] + + # Add the first subplot for test data. + min1 = metrics_dict["test"]["min"] # type: ignore + mean1 = metrics_dict["test"]["mean"] # type: ignore + max1 = metrics_dict["test"]["max"] # type: ignore + + _add_colormap( + 0, + da_test, + fig, + parameter, + parameter.test_colormap, + parameter.contour_levels, + title=(parameter.test_name_yrs, parameter.test_title, units), # type: ignore + metrics=(max1, mean1, min1), # type: ignore + ) + + # Add the second and third subplots for ref data and the differences, + # respectively. + if da_ref is not None and da_diff is not None: + min2 = metrics_dict["ref"]["min"] # type: ignore + mean2 = metrics_dict["ref"]["mean"] # type: ignore + max2 = metrics_dict["ref"]["max"] # type: ignore + + _add_colormap( + 1, + da_ref, + fig, + parameter, + parameter.reference_colormap, + parameter.contour_levels, + title=(parameter.ref_name_yrs, parameter.reference_title, units), # type: ignore + metrics=(max2, mean2, min2), # type: ignore + ) + + min3 = metrics_dict["diff"]["min"] # type: ignore + mean3 = metrics_dict["diff"]["mean"] # type: ignore + max3 = metrics_dict["diff"]["max"] # type: ignore + r = metrics_dict["misc"]["rmse"] # type: ignore + c = metrics_dict["misc"]["corr"] # type: ignore + + _add_colormap( + 2, + da_diff, + fig, + parameter, + parameter.diff_colormap, + parameter.diff_levels, + title=(None, parameter.diff_title, units), # type: ignore + metrics=(max3, mean3, min3, r, c), # type: ignore + ) + + _save_plot(fig, parameter) + + plt.close() diff --git a/e3sm_diags/plot/cartopy/lat_lon_river_plot.py b/e3sm_diags/plot/lat_lon_river_plot.py similarity index 71% rename from e3sm_diags/plot/cartopy/lat_lon_river_plot.py rename to e3sm_diags/plot/lat_lon_river_plot.py index c7da4782d..4e619cde5 100644 --- a/e3sm_diags/plot/cartopy/lat_lon_river_plot.py +++ b/e3sm_diags/plot/lat_lon_river_plot.py @@ -1,6 +1,6 @@ from __future__ import print_function -from e3sm_diags.plot.cartopy.lat_lon_plot import plot as base_plot +from e3sm_diags.plot.lat_lon_plot import plot as base_plot def plot(reference, test, diff, metrics_dict, parameter): diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py new file mode 100644 index 000000000..c4057cbbe --- /dev/null +++ b/e3sm_diags/plot/utils.py @@ -0,0 +1,461 @@ +from __future__ import annotations + +import os +from typing import List, Tuple + +import cartopy.crs as ccrs +import cartopy.feature as cfeature +import matplotlib +import numpy as np +import xarray as xr +import xcdat as xc +from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter +from matplotlib.transforms import Bbox + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS +from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot import get_colormap + +matplotlib.use("Agg") +from matplotlib import colors # isort:skip # noqa: E402 +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +# Plot title and side title configurations. +PLOT_TITLE = {"fontsize": 11.5} +PLOT_SIDE_TITLE = {"fontsize": 9.5} + +# Position and sizes of subplot axes in page coordinates (0 to 1) +PANEL = [ + (0.1691, 0.6810, 0.6465, 0.2258), + (0.1691, 0.3961, 0.6465, 0.2258), + (0.1691, 0.1112, 0.6465, 0.2258), +] + +# Border padding relative to subplot axes for saving individual panels +# (left, bottom, right, top) in page coordinates +BORDER_PADDING = (-0.06, -0.03, 0.13, 0.03) + + +def _save_plot(fig: plt.figure, parameter: CoreParameter): + """Save the plot using the figure object and parameter configs. + + This function creates the output filename to save the plot. It also + saves each individual subplot if the reference name is an empty string (""). + + Parameters + ---------- + fig : plt.figure + The plot figure. + parameter : CoreParameter + The CoreParameter with file configurations. + """ + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file + "." + f, + ) + plt.savefig(fnm) + logger.info(f"Plot saved in: {fnm}") + + # Save individual subplots + if parameter.ref_name == "": + panels = [PANEL[0]] + else: + panels = PANEL + + for f in parameter.output_format_subplot: + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file, + ) + page = fig.get_size_inches() + + for idx, panel in enumerate(panels): + # Extent of subplot + subpage = np.array(panel).reshape(2, 2) + subpage[1, :] = subpage[0, :] + subpage[1, :] + subpage = subpage + np.array(BORDER_PADDING).reshape(2, 2) + subpage = list(((subpage) * page).flatten()) # type: ignore + extent = Bbox.from_extents(*subpage) + + # Save subplot + fname = fnm + ".%i." % idx + f + plt.savefig(fname, bbox_inches=extent) + + orig_fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file, + ) + fname = orig_fnm + ".%i." % idx + f + logger.info(f"Sub-plot saved in: {fname}") + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.figure, + parameter: CoreParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[str | None, str, str], + metrics: Tuple[float, ...], +): + """Adds a colormap containing the variable data and metrics to the figure. + + This function is used by: + - `lat_lon_plot.py` + - `aerosol_aeronet_plot.py` (TODO) + + Parameters + ---------- + subplot_num : int + The subplot number. + var : xr.DataArray + The variable to plot. + fig : plt.figure + The figure object to add the subplot to. + parameter : CoreParameter + The CoreParameter object containing plot configurations. + color_map : str + The colormap styling to use (e.g., "cet_rainbow.rgb"). + contour_levels : List[float] + The map contour levels. + title : Tuple[str | None, str, str] + A tuple of strings to form the title of the colormap, in the format + ( years, title, units). + metrics : Tuple[float, ...] + A tuple of metrics for this subplot. + """ + var = _make_lon_cyclic(var) + lat = xc.get_dim_coords(var, axis="Y") + lon = xc.get_dim_coords(var, axis="X") + + var = var.squeeze() + + # Configure contour levels + # -------------------------------------------------------------------------- + c_levels = None + norm = None + + if len(contour_levels) > 0: + c_levels = [-1.0e8] + contour_levels + [1.0e8] + norm = colors.BoundaryNorm(boundaries=c_levels, ncolors=256) + + # Configure plot tickets based on longitude and latitude. + # -------------------------------------------------------------------------- + region_key = parameter.regions[0] + region_specs = REGION_SPECS[region_key] + + # Get the region's domain slices for latitude and longitude if set, or + # use the default value. If both are not set, then the region type is + # considered "global". + lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore + lon_slice = region_specs.get("lon", (0, 360)) # type: ignore + + # Boolean flags for configuring plots. + is_global_domain = lat_slice == (-90, 90) and lon_slice == (0, 360) + is_lon_full = lon_slice == (0, 360) + + # Determine X and Y ticks using longitude and latitude domains respectively. + lon_west, lon_east = lon_slice + x_ticks = _get_x_ticks(lon_west, lon_east, is_global_domain, is_lon_full) + + lat_south, lat_north = lat_slice + y_ticks = _get_y_ticks(lat_south, lat_north) + + # Add the contour plot. + # -------------------------------------------------------------------------- + projection = ccrs.PlateCarree() + if is_global_domain or is_lon_full: + projection = ccrs.PlateCarree(central_longitude=180) + + ax = fig.add_axes(PANEL[subplot_num], projection=projection) + ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=projection) + color_map = get_colormap(color_map, parameter) + p1 = ax.contourf( + lon, + lat, + var, + transform=ccrs.PlateCarree(), + norm=norm, + levels=c_levels, + cmap=color_map, + extend="both", + ) + + # Configure the aspect ratio and coast lines. + # -------------------------------------------------------------------------- + # Full world would be aspect 360/(2*180) = 1 + ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) + ax.coastlines(lw=0.3) + + if not is_global_domain and "RRM" in region_key: + ax.coastlines(resolution="50m", color="black", linewidth=1) + state_borders = cfeature.NaturalEarthFeature( + category="cultural", + name="admin_1_states_provinces_lakes", + scale="50m", + facecolor="none", + ) + ax.add_feature(state_borders, edgecolor="black") + + # Configure the titles. + # -------------------------------------------------------------------------- + if title[0] is not None: + ax.set_title(title[0], loc="left", fontdict=PLOT_SIDE_TITLE) + if title[1] is not None: + ax.set_title(title[1], fontdict=PLOT_TITLE) + if title[2] is not None: + ax.set_title(title[2], loc="right", fontdict=PLOT_SIDE_TITLE) + + # Configure x and y axis. + # -------------------------------------------------------------------------- + ax.set_xticks(x_ticks, crs=ccrs.PlateCarree()) + ax.set_yticks(y_ticks, crs=ccrs.PlateCarree()) + + lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") + lat_formatter = LatitudeFormatter() + ax.xaxis.set_major_formatter(lon_formatter) + ax.yaxis.set_major_formatter(lat_formatter) + + ax.tick_params(labelsize=8.0, direction="out", width=1) + + ax.xaxis.set_ticks_position("bottom") + ax.yaxis.set_ticks_position("left") + + # Add and configure the color bar. + # -------------------------------------------------------------------------- + cbax = fig.add_axes( + (PANEL[subplot_num][0] + 0.6635, PANEL[subplot_num][1] + 0.0215, 0.0326, 0.1792) + ) + cbar = fig.colorbar(p1, cax=cbax) + + if c_levels is None: + cbar.ax.tick_params(labelsize=9.0, length=0) + else: + cbar.set_ticks(c_levels[1:-1]) + + label_format, pad = _get_contour_label_format_and_pad(c_levels) + labels = [label_format % level for level in c_levels[1:-1]] + cbar.ax.set_yticklabels(labels, ha="right") + cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) + + # Add metrics text. + # -------------------------------------------------------------------------- + # Min, Mean, Max + fig.text( + PANEL[subplot_num][0] + 0.6635, + PANEL[subplot_num][1] + 0.2107, + "Max\nMean\nMin", + ha="left", + fontdict=PLOT_SIDE_TITLE, + ) + + fmt_m = [] + + # Print in scientific notation if value is greater than 10^5 + for i in range(len(metrics[0:3])): + fs = "1e" if metrics[i] > 100000.0 else "2f" + fmt_m.append(fs) + + fmt_metrics = f"%.{fmt_m[0]}\n%.{fmt_m[1]}\n%.{fmt_m[2]}" + + fig.text( + PANEL[subplot_num][0] + 0.7635, + PANEL[subplot_num][1] + 0.2107, + # "%.2f\n%.2f\n%.2f" % stats[0:3], + fmt_metrics % metrics[0:3], + ha="right", + fontdict=PLOT_SIDE_TITLE, + ) + + # RMSE, CORR + if len(metrics) == 5: + fig.text( + PANEL[subplot_num][0] + 0.6635, + PANEL[subplot_num][1] - 0.0105, + "RMSE\nCORR", + ha="left", + fontdict=PLOT_SIDE_TITLE, + ) + fig.text( + PANEL[subplot_num][0] + 0.7635, + PANEL[subplot_num][1] - 0.0105, + "%.2f\n%.2f" % metrics[3:5], + ha="right", + fontdict=PLOT_SIDE_TITLE, + ) + + # Add grid resolution info. + # -------------------------------------------------------------------------- + if subplot_num == 2 and "RRM" in region_key: + dlat = lat[2] - lat[1] + dlon = lon[2] - lon[1] + fig.text( + PANEL[subplot_num][0] + 0.4635, + PANEL[subplot_num][1] - 0.04, + "Resolution: {:.2f}x{:.2f}".format(dlat, dlon), + ha="left", + fontdict=PLOT_SIDE_TITLE, + ) + + +def _make_lon_cyclic(var: xr.DataArray): + """Make the longitude axis cyclic by adding a new coordinate point with 360. + + This function appends a new longitude coordinate point by taking the last + coordinate point and adding 360 to it. + + Parameters + ---------- + var : xr.DataArray + The variable. + + Returns + ------- + xr.DataArray + The variable with a 360 coordinate point. + """ + coords = xc.get_dim_coords(var, axis="X") + dim = coords.name + + new_pt = var.isel({f"{dim}": 0}) + new_pt = new_pt.assign_coords({f"{dim}": (new_pt[dim] + 360)}) + + new_var = xr.concat([var, new_pt], dim=dim) + + return new_var + + +def _get_x_ticks( + lon_west: float, lon_east: float, is_global_domain: bool, is_lon_full: bool +) -> np.ndarray: + """Get the X axis ticks based on the longitude domain slice. + + Parameters + ---------- + lon_west : float + The west point (e.g., 0). + lon_east : float + The east point (e.g., 360). + is_global_domain : bool + If the domain type is "global". + is_lon_full : bool + True if the longitude domain is (0, 360). + + Returns + ------- + np.array + An array of floats representing X axis ticks. + """ + # NOTE: cartopy does not support region cross dateline yet so longitude + # needs to be adjusted if > 180. + # https://github.com/SciTools/cartopy/issues/821. + # https://github.com/SciTools/cartopy/issues/276 + if lon_west > 180 and lon_east > 180: + lon_west = lon_west - 360 + lon_east = lon_east - 360 + + lon_covered = lon_east - lon_west + lon_step = _determine_tick_step(lon_covered) + + x_ticks = np.arange(lon_west, lon_east, lon_step) + + if is_global_domain or is_lon_full: + # Subtract 0.50 to get 0 W to show up on the right side of the plot. + # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the + # left side of the plot. If a number is added, then the value won't + # show up at all. + x_ticks = np.append(x_ticks, lon_east - 0.50) + else: + x_ticks = np.append(x_ticks, lon_east) + + return x_ticks + + +def _get_y_ticks(lat_south: float, lat_north: float) -> np.ndarray: + """Get Y axis ticks. + + Parameters + ---------- + lat_south : float + The south point (e.g., -180). + lat_north : float + The north point (e.g., 180). + + Returns + ------- + np.array + An array of floats representing Y axis ticks + """ + lat_covered = lat_north - lat_south + + lat_step = _determine_tick_step(lat_covered) + y_ticks = np.arange(lat_south, lat_north, lat_step) + y_ticks = np.append(y_ticks, lat_north) + + return y_ticks + + +def _determine_tick_step(degrees_covered: float) -> int: + """Determine the number of tick steps based on the degrees covered by the axis. + + Parameters + ---------- + degrees_covered : float + The degrees covered by the axis. + + Returns + ------- + int + The number of tick steps. + """ + if degrees_covered > 180: + return 60 + if degrees_covered > 60: + return 30 + elif degrees_covered > 30: + return 10 + elif degrees_covered > 20: + return 5 + else: + return 1 + + +def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: + """Get the label format and padding for each contour level. + + Parameters + ---------- + c_levels : List[float] + The contour levels. + + Returns + ------- + Tuple[str, int] + A tuple for the label format and padding. + """ + maxval = np.amax(np.absolute(c_levels[1:-1])) + + if maxval < 0.2: + fmt = "%5.3f" + pad = 28 + elif maxval < 10.0: + fmt = "%5.2f" + pad = 25 + elif maxval < 100.0: + fmt = "%5.1f" + pad = 25 + elif maxval > 9999.0: + fmt = "%.0f" + pad = 40 + else: + fmt = "%6.1f" + pad = 30 + + return fmt, pad diff --git a/tests/e3sm_diags/drivers/__init__.py b/tests/e3sm_diags/driver/__init__.py similarity index 100% rename from tests/e3sm_diags/drivers/__init__.py rename to tests/e3sm_diags/driver/__init__.py diff --git a/tests/e3sm_diags/drivers/test_annual_cycle_zonal_mean_driver.py b/tests/e3sm_diags/driver/test_annual_cycle_zonal_mean_driver.py similarity index 100% rename from tests/e3sm_diags/drivers/test_annual_cycle_zonal_mean_driver.py rename to tests/e3sm_diags/driver/test_annual_cycle_zonal_mean_driver.py diff --git a/tests/e3sm_diags/drivers/test_tc_analysis_driver.py b/tests/e3sm_diags/driver/test_tc_analysis_driver.py similarity index 100% rename from tests/e3sm_diags/drivers/test_tc_analysis_driver.py rename to tests/e3sm_diags/driver/test_tc_analysis_driver.py diff --git a/tests/e3sm_diags/driver/utils/__init__.py b/tests/e3sm_diags/driver/utils/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/e3sm_diags/driver/utils/test_climo_xr.py b/tests/e3sm_diags/driver/utils/test_climo_xr.py new file mode 100644 index 000000000..50c8f43ee --- /dev/null +++ b/tests/e3sm_diags/driver/utils/test_climo_xr.py @@ -0,0 +1,268 @@ +import numpy as np +import pytest +import xarray as xr + +from e3sm_diags.driver.utils.climo_xr import climo + + +class TestClimo: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + # Create temporary directory to save files. + dir = tmp_path / "input_data" + dir.mkdir() + + self.ds = xr.Dataset( + data_vars={ + "ts": xr.DataArray( + data=np.array( + [[[2.0]], [[1.0]], [[1.0]], [[1.0]], [[2.0]]], dtype="float64" + ), + dims=["time", "lat", "lon"], + attrs={"test_attr": "test"}, + ), + "time_bnds": xr.DataArray( + name="time_bnds", + data=np.array( + [ + [ + "2000-01-01T00:00:00.000000000", + "2000-02-01T00:00:00.000000000", + ], + [ + "2000-03-01T00:00:00.000000000", + "2000-04-01T00:00:00.000000000", + ], + [ + "2000-06-01T00:00:00.000000000", + "2000-07-01T00:00:00.000000000", + ], + [ + "2000-09-01T00:00:00.000000000", + "2000-10-01T00:00:00.000000000", + ], + [ + "2001-02-01T00:00:00.000000000", + "2001-03-01T00:00:00.000000000", + ], + ], + dtype="datetime64[ns]", + ), + dims=["time", "bnds"], + attrs={"xcdat_bounds": "True"}, + ), + }, + coords={ + "lat": xr.DataArray( + data=np.array([-90]), + dims=["lat"], + attrs={ + "axis": "Y", + "long_name": "latitude", + "standard_name": "latitude", + }, + ), + "lon": xr.DataArray( + data=np.array([0]), + dims=["lon"], + attrs={ + "axis": "X", + "long_name": "longitude", + "standard_name": "longitude", + }, + ), + "time": xr.DataArray( + data=np.array( + [ + "2000-01-16T12:00:00.000000000", + "2000-03-16T12:00:00.000000000", + "2000-06-16T00:00:00.000000000", + "2000-09-16T00:00:00.000000000", + "2001-02-15T12:00:00.000000000", + ], + dtype="datetime64[ns]", + ), + dims=["time"], + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + ) + self.ds.time.encoding = { + "units": "days since 2000-01-01", + "calendar": "standard", + } + + # Write the dataset to an `.nc` file and set the DataArray encoding + # attribute to mimic a real-world dataset. + filepath = f"{dir}/file.nc" + self.ds.to_netcdf(filepath) + self.ds.ts.encoding["source"] = filepath + + def test_raises_error_if_freq_arg_is_not_valid(self): + ds = self.ds.copy() + + with pytest.raises(ValueError): + climo(ds, "ts", "invalid_arg") # type: ignore + + def test_returns_annual_cycle_climatology(self): + ds = self.ds.copy() + + result = climo(ds, "ts", "ANN") + expected = xr.DataArray( + name="ts", + data=np.array([[1.39333333]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs + + def test_returns_DJF_season_climatology(self): + ds = self.ds.copy() + + result = climo(ds, "ts", "DJF") + expected = xr.DataArray( + name="ts", + data=np.array([[2.0]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs + + def test_returns_MAM_season_climatology(self): + ds = self.ds.copy() + + result = climo(ds, "ts", "MAM") + expected = xr.DataArray( + name="ts", + data=np.array([[1.0]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs + + def test_returns_JJA_season_climatology(self): + ds = self.ds.copy() + + result = climo(ds, "ts", "JJA") + expected = xr.DataArray( + name="ts", + data=np.array([[1.0]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs + + def test_returns_SON_season_climatology(self): + ds = self.ds.copy() + + result = climo(ds, "ts", "SON") + expected = xr.DataArray( + name="ts", + data=np.array([[1.0]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs + + def test_returns_jan_climatology(self): + ds = self.ds.copy() + + result = climo(ds, "ts", "01") + expected = xr.DataArray( + name="ts", + data=np.array([[2.0]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs + + def test_returns_climatology_for_derived_variable(self): + ds = self.ds.copy() + + # Delete the source of this variable to mimic a "derived" variable, + # which is a variable created using other variables in the dataset. + del ds["ts"].encoding["source"] + + result = climo(ds, "ts", "01") + expected = xr.DataArray( + name="ts", + data=np.array([[2.0]]), + coords={ + "lat": ds.lat, + "lon": ds.lon, + }, + dims=["lat", "lon"], + attrs={"test_attr": "test"}, + ) + + # Check DataArray values and attributes align + xr.testing.assert_allclose(result, expected) + assert result.attrs == expected.attrs + + for coord in result.coords: + assert result[coord].attrs == expected[coord].attrs diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py new file mode 100644 index 000000000..1fdf6de3e --- /dev/null +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -0,0 +1,1575 @@ +import logging +from collections import OrderedDict +from typing import Literal + +import cftime +import numpy as np +import pytest +import xarray as xr + +from e3sm_diags.derivations.derivations import DERIVED_VARIABLES +from e3sm_diags.driver import LAND_OCEAN_MASK_PATH +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.core_parameter import CoreParameter + + +def _create_parameter_object( + dataset_type: Literal["ref", "test"], + data_type: Literal["climo", "time_series"], + data_path: str, + start_yr: str, + end_yr: str, +): + parameter = CoreParameter() + + if dataset_type == "ref": + if data_type == "time_series": + parameter.ref_timeseries_input = True + else: + parameter.ref_timeseries_input = False + + parameter.reference_data_path = data_path + parameter.ref_start_yr = start_yr # type: ignore + parameter.ref_end_yr = end_yr # type: ignore + elif dataset_type == "test": + if data_type == "time_series": + parameter.test_timeseries_input = True + else: + parameter.test_timeseries_input = False + + parameter.test_data_path = data_path + parameter.test_start_yr = start_yr # type: ignore + parameter.test_end_yr = end_yr # type: ignore + + return parameter + + +class TestInit: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + def test_sets_attrs_if_type_attr_is_ref(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + assert ds.root_path == parameter.reference_data_path + assert ds.start_yr == parameter.ref_start_yr + assert ds.end_yr == parameter.ref_end_yr + + def test_sets_attrs_if_type_attr_is_test(self): + parameter = _create_parameter_object( + "test", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="test") + + assert ds.root_path == parameter.test_data_path + assert ds.start_yr == parameter.test_start_yr + assert ds.end_yr == parameter.test_end_yr + + def test_raises_error_if_type_attr_is_invalid(self): + parameter = CoreParameter() + + with pytest.raises(ValueError): + Dataset(parameter, data_type="invalid") # type: ignore + + def test_sets_start_yr_and_end_yr_for_area_mean_time_series_set(self): + parameter = AreaMeanTimeSeriesParameter() + parameter.sets[0] = "area_mean_time_series" + parameter.start_yr = "2000" + parameter.end_yr = "2001" + + ds = Dataset(parameter, data_type="ref") + + assert ds.start_yr == parameter.start_yr + assert ds.end_yr == parameter.end_yr + + def test_sets_sub_monthly_if_diurnal_cycle_or_arms_diags_set(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.sets[0] = "diurnal_cycle" + + ds = Dataset(parameter, data_type="ref") + + assert ds.is_sub_monthly + + parameter.sets[0] = "arm_diags" + ds2 = Dataset(parameter, data_type="ref") + + assert ds2.is_sub_monthly + + def test_sets_derived_vars_map(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + assert ds.derived_vars_map == DERIVED_VARIABLES + + def test_sets_drived_vars_map_with_existing_entry(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.derived_variables = { + "PRECT": OrderedDict([(("some_var",), lambda some_var: some_var)]) + } + + ds = Dataset(parameter, data_type="ref") + + # The expected `derived_vars_map` result. + expected = DERIVED_VARIABLES.copy() + expected["PRECT"] = OrderedDict( + **parameter.derived_variables["PRECT"], **expected["PRECT"] + ) + + assert ds.derived_vars_map == expected + + def test_sets_drived_vars_map_with_new_entry(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.derived_variables = { + "NEW_DERIVED_VAR": OrderedDict([(("some_var",), lambda some_var: some_var)]) + } + + ds = Dataset(parameter, data_type="ref") + + # The expected `derived_vars_map` result. + expected = DERIVED_VARIABLES.copy() + expected["NEW_DERIVED_VAR"] = parameter.derived_variables["NEW_DERIVED_VAR"] + + assert ds.derived_vars_map == expected + + +class TestDataSetProperties: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + def test_property_is_timeseries_returns_true_and_is_climo_returns_false_for_ref( + self, + ): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + assert ds.is_time_series + assert not ds.is_climo + + def test_property_is_timeseries_returns_true_and_is_climo_returns_false_for_test( + self, + ): + parameter = _create_parameter_object( + "test", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="test") + + assert ds.is_time_series + assert not ds.is_climo + + def test_property_is_timeseries_returns_false_and_is_climo_returns_true_for_test( + self, + ): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + assert not ds.is_time_series + assert ds.is_climo + + def test_property_is_timeseries_returns_false_and_is_climo_returns_true_for_ref( + self, + ): + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + ds = Dataset(parameter, data_type="test") + + assert not ds.is_time_series + assert ds.is_climo + + +class TestGetReferenceClimoDataset: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + # Create temporary directory to save files. + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + # Set up climatology dataset and save to a temp file. + # TODO: Update this to an actual climatology dataset structure + self.ds_climo = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ) + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "ts": xr.DataArray( + name="ts", + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + }, + ) + self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} + + # Set up time series dataset and save to a temp file. + self.ds_ts = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "time_bnds": xr.DataArray( + name="time_bnds", + data=np.array( + [ + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + ], + dtype=object, + ), + dims=["time", "bnds"], + ), + "ts": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + ), + }, + ) + self.ds_ts.time.encoding = {"units": "days since 2000-01-01"} + + def test_raises_error_if_dataset_data_type_is_not_ref(self): + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "test.nc" + ds = Dataset(parameter, data_type="test") + + with pytest.raises(RuntimeError): + ds.get_ref_climo_dataset("ts", "ANN", self.ds_climo.copy()) + + def test_returns_reference_climo_dataset_from_file(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "ref_file.nc" + + self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + result = ds.get_ref_climo_dataset("ts", "ANN", self.ds_climo.copy()) + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + assert not ds.model_only + + def test_returns_test_dataset_as_default_value_if_climo_dataset_not_found(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "ref_file.nc" + ds = Dataset(parameter, data_type="ref") + + ds_test = self.ds_climo.copy() + result = ds.get_ref_climo_dataset("ts", "ANN", ds_test) + + assert result.identical(ds_test) + assert ds.model_only + + +class TestGetClimoDataset: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + # Create temporary directory to save files. + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + # Set up climatology dataset and save to a temp file. + # TODO: Update this to an actual climatology dataset structure + self.ds_climo = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ) + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "ts": xr.DataArray( + name="ts", + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + }, + ) + self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} + + # Set up time series dataset and save to a temp file. + self.ds_ts = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "time_bnds": xr.DataArray( + name="time_bnds", + data=np.array( + [ + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + ], + dtype=object, + ), + dims=["time", "bnds"], + ), + "ts": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + ), + }, + ) + self.ds_ts.time.encoding = {"units": "days since 2000-01-01"} + + def test_raises_error_if_var_arg_is_not_valid(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(ValueError): + ds.get_climo_dataset(var=1, season="ANN") # type: ignore + + with pytest.raises(ValueError): + ds.get_climo_dataset(var="", season="ANN") + + def test_raises_error_if_season_arg_is_not_valid(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(ValueError): + ds.get_climo_dataset(var="PRECT", season="invalid_season") # type: ignore + + with pytest.raises(ValueError): + ds.get_climo_dataset(var="PRECT", season=1) # type: ignore + + def test_returns_climo_dataset_using_ref_file_variable(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "ref_file.nc" + + self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + result = ds.get_climo_dataset("ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_using_test_file_variable(self): + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.test_file = "test_file.nc" + + self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.test_file}") + + ds = Dataset(parameter, data_type="test") + result = ds.get_climo_dataset("ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season(self): + # Example: {test_data_path}/{test_name}_{season}.nc + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_name = "historical_H1" + self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_name}_ANN.nc") + + ds = Dataset(parameter, data_type="ref") + result = ds.get_climo_dataset("ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_using_test_file_variable_test_name_and_season(self): + # Example: {test_data_path}/{test_name}_{season}.nc + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.test_name = "historical_H1" + self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.test_name}_ANN.nc") + + ds = Dataset(parameter, data_type="test") + result = ds.get_climo_dataset("ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nested_pattern_1( + self, + ): + # Example: {test_data_path}/{test_name}/{test_name}_{season}.nc + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.test_name = "historical_H1" + + nested_root_path = self.data_path / parameter.test_name + nested_root_path.mkdir() + + self.ds_climo.to_netcdf(f"{nested_root_path}/{parameter.test_name}_ANN.nc") + + ds = Dataset(parameter, data_type="test") + result = ds.get_climo_dataset("ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nested_pattern_2( + self, + ): + # Example: {test_data_path}/{test_name}/{test_name}__{season}.nc + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.test_name = "historical_H1" + + nested_root_path = self.data_path / parameter.test_name + nested_root_path.mkdir() + + self.ds_climo.to_netcdf( + f"{nested_root_path}/{parameter.test_name}_some_other_info_ANN.nc" + ) + + ds = Dataset(parameter, data_type="test") + result = ds.get_climo_dataset("ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_with_derived_variable(self): + # We will derive the "PRECT" variable using the "pr" variable. + ds_pr = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "pr": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ), + }, + ) + + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "pr_200001_200112.nc" + ds_pr.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_climo_dataset("PRECT", season="ANN") + expected = ds_pr.copy() + expected = expected.squeeze(dim="time").drop_vars("time") + expected["PRECT"] = expected["pr"] * 3600 * 24 + expected["PRECT"].attrs["units"] = "mm/day" + + assert result.identical(expected) + + def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): + ds_precst = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "PRECST": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ), + }, + ) + + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "pr_200001_200112.nc" + ds_precst.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_climo_dataset("PRECST", season="ANN") + expected = ds_precst.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_climo_dataset_using_source_variable_with_wildcard(self): + ds_precst = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "bc_a?DDF": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + ), + "bc_c?DDF": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + ), + }, + ) + + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "var_200001_200112.nc" + ds_precst.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_climo_dataset("bc_DDF", season="ANN") + expected = ds_precst.squeeze(dim="time").drop_vars("time") + expected["bc_DDF"] = expected["bc_a?DDF"] + expected["bc_c?DDF"] + + assert result.identical(expected) + + def test_returns_climo_dataset_using_climo_of_time_series_files(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.ref_timeseries_input = True + parameter.ref_file = "ts_200001_201112.nc" + + self.ds_ts.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_climo_dataset("ts", "ANN") + # Since the data is not sub-monthly, the first time coord (2001-01-01) + # is dropped when subsetting with the middle of the month (2000-01-15). + expected = self.ds_ts.isel(time=slice(1, 4)) + expected["ts"] = xr.DataArray( + name="ts", data=np.array([[1.0, 1.0], [1.0, 1.0]]), dims=["lat", "lon"] + ) + + assert result.identical(expected) + + def test_raises_error_if_no_filepath_found_for_variable(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + + parameter.ref_timeseries_input = False + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_climo_dataset("some_var", "ANN") + + def test_raises_error_if_var_not_in_dataset_or_derived_var_map(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + + parameter.ref_timeseries_input = False + parameter.ref_file = "ts_200001_201112.nc" + + self.ds_ts.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_climo_dataset("some_var", "ANN") + + def test_raises_error_if_dataset_has_no_matching_source_variables_to_derive_variable( + self, + ): + # In this test, we don't create a dataset and write it out to `.nc`. + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "pr_200001_200112.nc" + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_climo_dataset("PRECT", season="ANN") + + def test_raises_error_if_no_datasets_found_to_derive_variable(self): + ds_precst = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "invalid": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ), + }, + ) + + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "pr_200001_200112.nc" + ds_precst.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_climo_dataset("PRECST", season="ANN") + + +class TestGetTimeSeriesDataset: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + # Set up time series dataset and save to a temp file. + self.ts_path = f"{self.data_path}/ts_200001_200112.nc" + self.ds_ts = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "time_bnds": xr.DataArray( + name="time_bnds", + data=np.array( + [ + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + ], + dtype=object, + ), + dims=["time", "bnds"], + ), + "ts": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + ), + }, + ) + + self.ds_ts.time.encoding = {"units": "days since 2000-01-01"} + + def test_raises_error_if_data_is_not_time_series(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.ref_timeseries_input = False + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(ValueError): + ds.get_time_series_dataset(var="ts") + + def test_raises_error_if_var_arg_is_not_valid(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + # Not a string + with pytest.raises(ValueError): + ds.get_time_series_dataset(var=1) # type: ignore + + # An empty string + with pytest.raises(ValueError): + ds.get_time_series_dataset(var="") + + def test_returns_time_series_dataset_using_file(self): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts") + + # Since the data is not sub-monthly, the first time coord (2001-01-01) + # is dropped when subsetting with the middle of the month (2000-01-15). + expected = self.ds_ts.isel(time=slice(1, 4)) + + assert result.identical(expected) + + def test_returns_time_series_dataset_using_sub_monthly_sets(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + self.ds_ts.to_netcdf(f"{self.data_path}/ts_200001_200112.nc") + # "arm_diags" includes the the regions parameter in the filename + self.ds_ts.to_netcdf(f"{self.data_path}/ts_global_200001_200112.nc") + + for set in ["diurnal_cycle", "arm_diags"]: + parameter.sets[0] = set + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts") + expected = self.ds_ts.copy() + + assert result.identical(expected) + + def test_returns_time_series_dataset_using_derived_var(self): + # We will derive the "PRECT" variable using the "pr" variable. + ds_pr = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 15, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 16, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "pr": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ), + }, + ) + ds_pr.to_netcdf(f"{self.data_path}/pr_200001_200112.nc") + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("PRECT") + expected = ds_pr.copy() + expected["PRECT"] = expected["pr"] * 3600 * 24 + expected["PRECT"].attrs["units"] = "mm/day" + + assert result.identical(expected) + + def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(self): + # We will derive the "PRECT" variable using the "pr" variable. + ds_precst = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 15, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 16, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 1, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "PRECST": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ), + }, + ) + ds_precst.to_netcdf(f"{self.data_path}/PRECST_200001_200112.nc") + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("PRECST") + expected = ds_precst.copy() + + assert result.identical(expected) + + def test_raises_error_if_no_datasets_found_to_derive_variable(self): + # In this test, we don't create a dataset and write it out to `.nc`. + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_time_series_dataset("PRECT") + + def test_returns_time_series_dataset_with_centered_time_if_single_point(self): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.sets[0] = "diurnal_cycle" + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts", single_point=True) + expected = self.ds_ts.copy() + expected["time"].data[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ) + + assert result.identical(expected) + + def test_returns_time_series_dataset_using_file_with_ref_name_prepended(self): + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + parameter.ref_name = "historical_H1" + + ref_data_path = self.data_path / parameter.ref_name + ref_data_path.mkdir() + self.ds_ts.to_netcdf(f"{ref_data_path}/ts_200001_200112.nc") + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts") + # Since the data is not sub-monthly, the first time coord (2001-01-01) + # is dropped when subsetting with the middle of the month (2000-01-15). + expected = self.ds_ts.isel(time=slice(1, 4)) + + assert result.identical(expected) + + def test_raises_error_if_time_series_dataset_could_not_be_found(self): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_time_series_dataset("invalid_var") + + def test_raises_error_if_multiple_time_series_datasets_found_for_single_var(self): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + self.ds_ts.to_netcdf(f"{self.data_path}/ts_199901_200012.nc") + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(IOError): + ds.get_time_series_dataset("ts") + + def test_raises_error_when_time_slicing_if_start_year_less_than_var_start_year( + self, + ): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "1999", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(ValueError): + ds.get_time_series_dataset("ts") + + def test_raises_error_when_time_slicing_if_end_year_greater_than_var_end_year(self): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2002" + ) + + ds = Dataset(parameter, data_type="ref") + + with pytest.raises(ValueError): + ds.get_time_series_dataset("ts") + + +class Test_GetLandSeaMask: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + # Create temporary directory to save files. + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + # Set up climatology dataset and save to a temp file. + self.ds_climo = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ) + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "ts": xr.DataArray( + name="ts", + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + }, + ) + self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} + + def test_returns_land_sea_mask_if_matching_vars_in_dataset(self): + ds_climo: xr.Dataset = self.ds_climo.copy() + ds_climo["LANDFRAC"] = xr.DataArray( + name="LANDFRAC", + data=[ + [[1.0, 1.0], [1.0, 1.0]], + ], + dims=["time", "lat", "lon"], + ) + ds_climo["OCNFRAC"] = xr.DataArray( + name="OCNFRAC", + data=[ + [[1.0, 1.0], [1.0, 1.0]], + ], + dims=["time", "lat", "lon"], + ) + + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2002" + ) + parameter.ref_file = "ref_file.nc" + + ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + result = ds._get_land_sea_mask("ANN") + expected = ds_climo.copy() + expected = expected.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + def test_returns_default_land_sea_mask_if_one_or_no_matching_vars_in_dataset( + self, caplog + ): + # Silence logger warning to not pollute test suite. + caplog.set_level(logging.CRITICAL) + + ds_climo: xr.Dataset = self.ds_climo.copy() + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2002" + ) + parameter.ref_file = "ref_file.nc" + + ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + result = ds._get_land_sea_mask("ANN") + + expected = xr.open_dataset(LAND_OCEAN_MASK_PATH) + expected = expected.squeeze(dim="time").drop_vars("time") + + assert result.identical(expected) + + +class TestGetNameAndYearsAttr: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + self.ts_path = f"{self.data_path}/ts_200001_200112.nc" + + # Used for getting climo dataset via `parameter.ref_file`. + self.ref_file = " ref_file.nc" + self.test_file = "test_file.nc" + + self.ds_climo = xr.Dataset(attrs={"yrs_averaged": "2000-2002"}) + + self.ds_ts = xr.Dataset() + self.ds_ts.to_netcdf(self.ts_path) + + def test_raises_error_if_test_name_attrs_not_set_for_test_dataset(self): + param1 = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2002" + ) + + ds1 = Dataset(param1, data_type="test") + + with pytest.raises(AttributeError): + ds1.get_name_yrs_attr("ANN") + + def test_raises_error_if_season_arg_is_not_passed_for_climo_dataset(self): + param1 = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2002" + ) + param1.short_test_name = "short_test_name" + + ds1 = Dataset(param1, data_type="test") + + with pytest.raises(ValueError): + ds1.get_name_yrs_attr() + + def test_raises_error_if_ref_name_attrs_not_set_ref_dataset(self): + param1 = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2002" + ) + + ds1 = Dataset(param1, data_type="ref") + + with pytest.raises(AttributeError): + ds1.get_name_yrs_attr("ANN") + + def test_returns_test_name_and_yrs_averaged_attr_with_climo_dataset(self): + # Case 1: name is taken from `parameter.short_test_name` + param1 = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2002" + ) + param1.short_test_name = "short_test_name" + param1.test_file = self.test_file + + # Write the climatology dataset out before function call. + self.ds_climo.to_netcdf(f"{self.data_path}/{param1.test_file}") + + ds1 = Dataset(param1, data_type="test") + result = ds1.get_name_yrs_attr("ANN") + expected = "short_test_name (2000-2002)" + + assert result == expected + + # Case 2: name is taken from `parameter.test_name` + param2 = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2002" + ) + param2.test_name = "test_name" + + # Write the climatology dataset out before function call. + param2.test_file = self.test_file + self.ds_climo.to_netcdf(f"{self.data_path}/{param2.test_file}") + + ds2 = Dataset(param2, data_type="test") + result = ds2.get_name_yrs_attr("ANN") + expected = "test_name (2000-2002)" + + assert result == expected + + def test_returns_only_test_name_attr_if_yrs_averaged_attr_not_found_with_climo_dataset( + self, + ): + param1 = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2002" + ) + param1.short_test_name = "short_test_name" + param1.test_file = self.test_file + + # Write the climatology dataset out before function call. + ds_climo = self.ds_climo.copy() + del ds_climo.attrs["yrs_averaged"] + ds_climo.to_netcdf(f"{self.data_path}/{param1.test_file}") + + ds1 = Dataset(param1, data_type="test") + result = ds1.get_name_yrs_attr("ANN") + expected = "short_test_name" + + assert result == expected + + def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset(self): + # Case 1: name is taken from `parameter.short_ref_name` + param1 = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2002" + ) + param1.short_ref_name = "short_ref_name" + param1.ref_file = self.ref_file + + # Write the climatology dataset out before function call. + self.ds_climo.to_netcdf(f"{self.data_path}/{param1.ref_file}") + + ds1 = Dataset(param1, data_type="ref") + result = ds1.get_name_yrs_attr("ANN") + expected = "short_ref_name (2000-2002)" + + assert result == expected + + # Case 2: name is taken from `parameter.reference_name` + param2 = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2002" + ) + param2.reference_name = "reference_name" + param2.ref_file = self.ref_file + + # Write the climatology dataset out before function call. + self.ds_climo.to_netcdf(f"{self.data_path}/{param2.ref_file}") + + ds2 = Dataset(param2, data_type="ref") + result = ds2.get_name_yrs_attr("ANN") + expected = "reference_name (2000-2002)" + + assert result == expected + + # Case 3: name is taken from `parameter.ref_name` + param3 = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2002" + ) + param3.ref_name = "ref_name" + param3.ref_file = self.ref_file + + # Write the climatology dataset out before function call. + self.ds_climo.to_netcdf(f"{self.data_path}/{param3.ref_file}") + + ds3 = Dataset(param3, data_type="ref") + result = ds3.get_name_yrs_attr("ANN") + expected = "ref_name (2000-2002)" + + assert result == expected + + def test_returns_test_name_and_years_averaged_as_single_string_with_timeseries_dataset( + self, + ): + param1 = _create_parameter_object( + "test", "time_series", self.data_path, "1800", "1850" + ) + param1.short_test_name = "short_test_name" + + ds1 = Dataset(param1, data_type="test") + result = ds1.get_name_yrs_attr("ANN") + expected = "short_test_name (1800-1850)" + + assert result == expected diff --git a/tests/e3sm_diags/driver/utils/test_io.py b/tests/e3sm_diags/driver/utils/test_io.py new file mode 100644 index 000000000..067393910 --- /dev/null +++ b/tests/e3sm_diags/driver/utils/test_io.py @@ -0,0 +1,114 @@ +import logging +import os +from copy import deepcopy +from pathlib import Path + +import pytest +import xarray as xr + +from e3sm_diags.driver.utils.io import _get_output_dir, _write_vars_to_netcdf +from e3sm_diags.parameter.core_parameter import CoreParameter + + +class TestWriteVarsToNetcdf: + @pytest.fixture(autouse=True) + def setup(self, tmp_path: Path): + self.param = CoreParameter() + self.var_key = "ts" + + # Need to prepend with tmp_path because we use pytest to create temp + # dirs for storing files temporarily for the test runs. + self.param.results_dir = f"{tmp_path}/results_dir" + self.param.current_set = "lat_lon" + self.param.case_id = "lat_lon_MERRA" + self.param.output_file = "ts" + + # Create the results directory, which uses the CoreParameter attributes. + # Example: "///_test.nc>" + self.dir = ( + tmp_path / "results_dir" / self.param.current_set / self.param.case_id + ) + self.dir.mkdir(parents=True) + + # Input variables for the function + self.var_key = "ts" + self.ds_test = xr.Dataset( + data_vars={"ts": xr.DataArray(name="ts", data=[1, 1, 1])} + ) + self.ds_ref = xr.Dataset( + data_vars={"ts": xr.DataArray(name="ts", data=[2, 2, 2])} + ) + self.ds_diff = self.ds_test - self.ds_ref + + def test_writes_test_variable_to_file(self, caplog): + # Silence info logger message about saving to a directory. + caplog.set_level(logging.CRITICAL) + + _write_vars_to_netcdf(self.param, self.var_key, self.ds_test, None, None) + + expected = self.ds_test.copy() + expected = expected.rename_vars({"ts": "ts_test"}) + + result = xr.open_dataset(f"{self.dir}/{self.var_key}_output.nc") + xr.testing.assert_identical(expected, result) + + def test_writes_ref_and_diff_variables_to_file(self, caplog): + # Silence info logger message about saving to a directory. + caplog.set_level(logging.CRITICAL) + + _write_vars_to_netcdf( + self.param, self.var_key, self.ds_test, self.ds_ref, self.ds_diff + ) + + expected = self.ds_test.copy() + expected = expected.rename_vars({"ts": "ts_test"}) + expected["ts_ref"] = self.ds_ref["ts"].copy() + expected["ts_diff"] = self.ds_diff["ts"].copy() + + result = xr.open_dataset(f"{self.dir}/{self.var_key}_output.nc") + xr.testing.assert_identical(expected, result) + + +class TestGetOutputDir: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + self.param = CoreParameter() + self.param.results_dir = self.data_path + self.param.current_set = "lat_lon" + self.param.case_id = "lat_lon_MERRA" + + def test_raises_error_if_the_directory_does_not_exist_and_cannot_be_created_due_to_permissions( + self, tmp_path + ): + data_path_restricted = tmp_path / "input_data" + os.chmod(data_path_restricted, 0o444) + + param = deepcopy(self.param) + param.results_dir = data_path_restricted + + with pytest.raises(OSError): + _get_output_dir(param) + + def test_creates_directory_if_it_does_not_exist_and_returns_dir_path(self): + param = CoreParameter() + param.results_dir = self.data_path + param.current_set = "lat_lon" + param.case_id = "lat_lon_MERRA" + + result = _get_output_dir(param) + assert result == f"{param.results_dir}/{param.current_set}/{param.case_id}" + + def test_ignores_creating_directory_if_it_exists_returns_dir_path(self): + dir_path = ( + f"{self.param.results_dir}/{self.param.current_set}/{self.param.case_id}" + ) + + nested_dir_path = self.data_path / dir_path + nested_dir_path.mkdir(parents=True, exist_ok=True) + + result = _get_output_dir(self.param) + + assert result == dir_path diff --git a/tests/e3sm_diags/driver/utils/test_regrid.py b/tests/e3sm_diags/driver/utils/test_regrid.py new file mode 100644 index 000000000..870de6a6a --- /dev/null +++ b/tests/e3sm_diags/driver/utils/test_regrid.py @@ -0,0 +1,477 @@ +import numpy as np +import pytest +import xarray as xr +from xarray.testing import assert_identical + +from e3sm_diags.driver.utils.regrid import ( + _apply_land_sea_mask, + _subset_on_region, + align_grids_to_lower_res, + get_z_axis, + has_z_axis, + regrid_z_axis_to_plevs, +) +from tests.e3sm_diags.fixtures import generate_lev_dataset + + +class TestHasZAxis: + def test_returns_true_if_data_array_has_have_z_axis(self): + # Has Z axis + z_axis1 = xr.DataArray( + dims="height", + data=np.array([0]), + coords={"height": np.array([0])}, + attrs={"axis": "Z"}, + ) + dv1 = xr.DataArray(data=[0], coords=[z_axis1]) + + dv_has_z_axis = has_z_axis(dv1) + assert dv_has_z_axis + + def test_returns_true_if_data_array_has_z_coords_with_matching_positive_attr(self): + # Has "positive" attribute equal to "up" + z_axis1 = xr.DataArray(data=np.array([0]), attrs={"positive": "up"}) + dv1 = xr.DataArray(data=[0], coords=[z_axis1]) + + dv_has_z_axis = has_z_axis(dv1) + assert dv_has_z_axis + + # Has "positive" attribute equal to "down" + z_axis2 = xr.DataArray(data=np.array([0]), attrs={"positive": "down"}) + dv2 = xr.DataArray(data=[0], coords=[z_axis2]) + + dv_has_z_axis = has_z_axis(dv2) + assert dv_has_z_axis + + def test_returns_true_if_data_array_has_z_coords_with_matching_name(self): + # Has name equal to "lev" + z_axis1 = xr.DataArray(name="lev", dims=["lev"], data=np.array([0])) + dv1 = xr.DataArray(data=[0], coords={"lev": z_axis1}) + + dv_has_z_axis = has_z_axis(dv1) + assert dv_has_z_axis + + # Has name equal to "plev" + z_axis2 = xr.DataArray(name="plev", dims=["plev"], data=np.array([0])) + dv2 = xr.DataArray(data=[0], coords=[z_axis2]) + + dv_has_z_axis = has_z_axis(dv2) + assert dv_has_z_axis + + # Has name equal to "depth" + z_axis3 = xr.DataArray(name="depth", dims=["depth"], data=np.array([0])) + dv3 = xr.DataArray(data=[0], coords=[z_axis3]) + + dv_has_z_axis = has_z_axis(dv3) + assert dv_has_z_axis + + def test_raises_error_if_data_array_does_not_have_z_axis(self): + dv1 = xr.DataArray(data=[0]) + + dv_has_z_axis = has_z_axis(dv1) + assert not dv_has_z_axis + + +class TestGetZAxis: + def test_returns_true_if_data_array_has_have_z_axis(self): + # Has Z axis + z_axis1 = xr.DataArray( + dims="height", + data=np.array([0]), + coords={"height": np.array([0])}, + attrs={"axis": "Z"}, + ) + dv1 = xr.DataArray(data=[0], coords=[z_axis1]) + + result = get_z_axis(dv1) + assert result.identical(dv1["height"]) + + def test_returns_true_if_data_array_has_z_coords_with_matching_positive_attr(self): + # Has "positive" attribute equal to "up" + z_axis1 = xr.DataArray(data=np.array([0]), attrs={"positive": "up"}) + dv1 = xr.DataArray(data=[0], coords=[z_axis1]) + + result1 = get_z_axis(dv1) + assert result1.identical(dv1["dim_0"]) + + # Has "positive" attribute equal to "down" + z_axis2 = xr.DataArray(data=np.array([0]), attrs={"positive": "down"}) + dv2 = xr.DataArray(data=[0], coords=[z_axis2]) + + result2 = get_z_axis(dv2) + assert result2.identical(dv2["dim_0"]) + + def test_returns_true_if_data_array_has_z_coords_with_matching_name(self): + # Has name equal to "lev" + z_axis1 = xr.DataArray(name="lev", dims=["lev"], data=np.array([0])) + dv1 = xr.DataArray(data=[0], coords={"lev": z_axis1}) + + result = get_z_axis(dv1) + assert result.identical(dv1["lev"]) + + # Has name equal to "plev" + z_axis2 = xr.DataArray(name="plev", dims=["plev"], data=np.array([0])) + dv2 = xr.DataArray(data=[0], coords=[z_axis2]) + + result2 = get_z_axis(dv2) + assert result2.identical(dv2["plev"]) + + # Has name equal to "depth" + z_axis3 = xr.DataArray(name="depth", dims=["depth"], data=np.array([0])) + dv3 = xr.DataArray(data=[0], coords=[z_axis3]) + + result = get_z_axis(dv3) + assert result.identical(dv3["depth"]) + + def test_raises_error_if_data_array_does_not_have_z_axis(self): + dv1 = xr.DataArray(data=[0]) + + with pytest.raises(KeyError): + get_z_axis(dv1) + + +class Test_ApplyLandSeaMask: + @pytest.fixture(autouse=True) + def setup(self): + self.lat = xr.DataArray( + data=np.array([-90, -88.75]), + dims=["lat"], + attrs={"units": "degrees_north", "axis": "Y", "standard_name": "latitude"}, + ) + + self.lon = xr.DataArray( + data=np.array([0, 1.875]), + dims=["lon"], + attrs={"units": "degrees_east", "axis": "X", "standard_name": "longitude"}, + ) + + @pytest.mark.filterwarnings("ignore:.*Latitude is outside of.*:UserWarning") + @pytest.mark.parametrize("regrid_tool", ("esmf", "xesmf")) + def test_applies_land_mask_on_variable(self, regrid_tool): + ds = generate_lev_dataset("pressure").isel(time=1) + + # Create the land mask with different grid. + land_frac = xr.DataArray( + name="LANDFRAC", + data=[[np.nan, 1.0], [1.0, 1.0]], + dims=["lat", "lon"], + coords={"lat": self.lat, "lon": self.lon}, + ) + ds_mask = land_frac.to_dataset() + + # Create the expected array for the "so" variable after masking. + # Updating specific indexes is somewhat hacky but it gets the job done + # here. + # TODO: Consider making this part of the test more robust. + expected_arr = np.empty((4, 4, 4)) + expected_arr[:] = np.nan + for idx in range(len(ds.lev)): + expected_arr[idx, 0, 1] = 1 + + expected = ds.copy() + expected.so[:] = expected_arr + + result = _apply_land_sea_mask( + ds, ds_mask, "so", "land", regrid_tool, "conservative" + ) + + assert_identical(expected, result) + + @pytest.mark.filterwarnings("ignore:.*Latitude is outside of.*:UserWarning") + @pytest.mark.parametrize("regrid_tool", ("esmf", "xesmf")) + def test_applies_sea_mask_on_variable(self, regrid_tool): + ds = generate_lev_dataset("pressure").isel(time=1) + + # Create the land mask with different grid. + ocean_frac = xr.DataArray( + name="OCNFRAC", + data=[[np.nan, 1.0], [1.0, 1.0]], + dims=["lat", "lon"], + coords={"lat": self.lat, "lon": self.lon}, + ) + ds_mask = ocean_frac.to_dataset() + + # Create the expected array for the "so" variable after masking. + # Updating specific indexes is somewhat hacky but it gets the job done + # here. TODO: Consider making this part of the test more robust. + expected_arr = np.empty((4, 4, 4)) + expected_arr[:] = np.nan + for idx in range(len(ds.lev)): + expected_arr[idx, 0, 1] = 1 + + expected = ds.copy() + expected.so[:] = expected_arr + + result = _apply_land_sea_mask( + ds, ds_mask, "so", "ocean", regrid_tool, "conservative" + ) + + assert_identical(expected, result) + + +class Test_SubsetOnDomain: + def test_subsets_on_domain_if_region_specs_has_domain_defined(self): + ds = generate_lev_dataset("pressure").isel(time=1) + expected = ds.sel(lat=slice(0.0, 45.0), lon=slice(210.0, 310.0)) + + result = _subset_on_region(ds, "so", "NAMM") + + assert_identical(expected, result) + + +class TestAlignGridstoLowerRes: + @pytest.mark.parametrize("tool", ("esmf", "xesmf", "regrid2")) + def test_regrids_to_first_dataset_with_equal_latitude_points(self, tool): + ds_a = generate_lev_dataset("pressure", pressure_vars=False) + ds_b = generate_lev_dataset("pressure", pressure_vars=False) + + result_a, result_b = align_grids_to_lower_res( + ds_a, ds_b, "so", tool, "conservative" + ) + + expected_a = ds_a.copy() + expected_b = ds_a.copy() + if tool in ["esmf", "xesmf"]: + expected_b.so.attrs["regrid_method"] = "conservative" + + # A has lower resolution (A = B), regrid B -> A. + assert_identical(result_a, expected_a) + assert_identical(result_b, expected_b) + + @pytest.mark.parametrize("tool", ("esmf", "xesmf", "regrid2")) + def test_regrids_to_first_dataset_with_conservative_method(self, tool): + ds_a = generate_lev_dataset("pressure", pressure_vars=False) + ds_b = generate_lev_dataset("pressure", pressure_vars=False) + + # Subset the first dataset's latitude to make it "lower resolution". + ds_a = ds_a.isel(lat=slice(0, 3, 1)) + + result_a, result_b = align_grids_to_lower_res( + ds_a, ds_b, "so", tool, "conservative" + ) + + expected_a = ds_a.copy() + expected_b = ds_a.copy() + # regrid2 only supports conservative and does not set "regrid_method". + if tool in ["esmf", "xesmf"]: + expected_b.so.attrs["regrid_method"] = "conservative" + + # A has lower resolution (A < B), regrid B -> A. + assert_identical(result_a, expected_a) + assert_identical(result_b, expected_b) + + @pytest.mark.parametrize("tool", ("esmf", "xesmf", "regrid2")) + def test_regrids_to_second_dataset_with_conservative_method(self, tool): + ds_a = generate_lev_dataset("pressure", pressure_vars=False) + ds_b = generate_lev_dataset("pressure", pressure_vars=False) + + # Subset the second dataset's latitude to make it "lower resolution". + ds_b = ds_b.isel(lat=slice(0, 3, 1)) + result_a, result_b = align_grids_to_lower_res( + ds_a, ds_b, "so", tool, "conservative" + ) + + expected_a = ds_b.copy() + expected_b = ds_b.copy() + # regrid2 only supports conservative and does not set "regrid_method". + if tool in ["esmf", "xesmf"]: + expected_a.so.attrs["regrid_method"] = "conservative" + + # B has lower resolution (A > B), regrid A -> B. + assert_identical(result_a, expected_a) + assert_identical(result_b, expected_b) + + +class TestRegridZAxisToPlevs: + @pytest.fixture(autouse=True) + def setup(self): + self.plevs = [800, 200] + + def test_raises_error_if_long_name_attr_is_not_set(self): + ds = generate_lev_dataset("hybrid") + del ds["lev"].attrs["long_name"] + + with pytest.raises(KeyError): + regrid_z_axis_to_plevs(ds, "so", self.plevs) + + def test_raises_error_if_long_name_attr_is_not_hybrid_or_pressure(self): + ds = generate_lev_dataset("hybrid") + ds["lev"].attrs["long_name"] = "invalid" + + with pytest.raises(ValueError): + regrid_z_axis_to_plevs(ds, "so", self.plevs) + + def test_raises_error_if_dataset_does_not_contain_ps_hya_or_hyb_vars(self): + ds = generate_lev_dataset("hybrid") + ds = ds.drop_vars(["ps", "hyam", "hybm"]) + + with pytest.raises(KeyError): + regrid_z_axis_to_plevs(ds, "so", self.plevs) + + def test_raises_error_if_ps_variable_units_attr_is_None(self): + ds = generate_lev_dataset("hybrid") + ds.ps.attrs["units"] = None + + with pytest.raises(ValueError): + regrid_z_axis_to_plevs(ds, "so", self.plevs) + + def test_raises_error_if_ps_variable_units_attr_is_not_mb_or_pa(self): + ds = generate_lev_dataset("hybrid") + ds.ps.attrs["units"] = "invalid" + + with pytest.raises(ValueError): + regrid_z_axis_to_plevs(ds, "so", self.plevs) + + @pytest.mark.filterwarnings( + "ignore:.*From version 0.8.0 the Axis computation methods will be removed.*:FutureWarning", + "ignore:.*The `xgcm.Axis` class will be deprecated.*:DeprecationWarning", + ) + def test_regrids_hybrid_levels_to_pressure_levels_with_existing_z_bounds(self): + ds = generate_lev_dataset("hybrid") + del ds.lev_bnds.attrs["xcdat_bounds"] + + # Create the expected dataset using the original dataset. This involves + # updating the arrays and attributes of data variables and coordinates. + expected = ds.sel(lev=[800, 200]).drop_vars(["ps", "hyam", "hybm"]) + expected["so"].data[:] = np.nan + expected["so"].attrs["units"] = "mb" + expected["lev"].attrs = { + "axis": "Z", + "coordinate": "vertical", + "bounds": "lev_bnds", + } + # New Z bounds are generated for the updated Z axis. + expected["lev_bnds"] = xr.DataArray( + name="lev_bnds", + data=np.array([[1100.0, 500.0], [500.0, -100.0]]), + dims=["lev", "bnds"], + attrs={"xcdat_bounds": "True"}, + ) + + result = regrid_z_axis_to_plevs(ds, "so", self.plevs) + + assert_identical(expected, result) + + @pytest.mark.filterwarnings( + "ignore:.*From version 0.8.0 the Axis computation methods will be removed.*:FutureWarning", + "ignore:.*The `xgcm.Axis` class will be deprecated.*:DeprecationWarning", + ) + def test_regrids_hybrid_levels_to_pressure_levels_with_generated_z_bounds(self): + ds = generate_lev_dataset("hybrid") + ds = ds.drop_vars("lev_bnds") + + # Create the expected dataset using the original dataset. This involves + # updating the arrays and attributes of data variables and coordinates. + expected = ds.sel(lev=[800, 200]).drop_vars(["ps", "hyam", "hybm"]) + expected["so"].data[:] = np.nan + expected["so"].attrs["units"] = "mb" + expected["lev"].attrs = { + "axis": "Z", + "coordinate": "vertical", + "bounds": "lev_bnds", + } + # New Z bounds are generated for the updated Z axis. + expected["lev_bnds"] = xr.DataArray( + name="lev_bnds", + data=np.array([[1100.0, 500.0], [500.0, -100.0]]), + dims=["lev", "bnds"], + attrs={"xcdat_bounds": "True"}, + ) + + result = regrid_z_axis_to_plevs(ds, "so", self.plevs) + + assert_identical(expected, result) + + @pytest.mark.filterwarnings( + "ignore:.*From version 0.8.0 the Axis computation methods will be removed.*:FutureWarning", + "ignore:.*The `xgcm.Axis` class will be deprecated.*:DeprecationWarning", + ) + def test_regrids_hybrid_levels_to_pressure_levels_with_Pa_units(self): + ds = generate_lev_dataset("hybrid") + + # Create the expected dataset using the original dataset. This involves + # updating the arrays and attributes of data variables and coordinates. + expected = ds.sel(lev=[800, 200]).drop_vars(["ps", "hyam", "hybm"]) + expected["so"].data[:] = np.nan + expected["so"].attrs["units"] = "mb" + expected["lev"].attrs = { + "axis": "Z", + "coordinate": "vertical", + "bounds": "lev_bnds", + } + expected["lev_bnds"] = xr.DataArray( + name="lev_bnds", + data=np.array([[1100.0, 500.0], [500.0, -100.0]]), + dims=["lev", "bnds"], + attrs={"xcdat_bounds": "True"}, + ) + + # Update from Pa to mb. + ds_pa = ds.copy() + with xr.set_options(keep_attrs=True): + ds_pa["ps"] = ds_pa.ps * 100 + ds_pa.ps.attrs["units"] = "Pa" + + result = regrid_z_axis_to_plevs(ds_pa, "so", self.plevs) + + assert_identical(expected, result) + + @pytest.mark.filterwarnings( + "ignore:.*From version 0.8.0 the Axis computation methods will be removed.*:FutureWarning", + "ignore:.*The `xgcm.Axis` class will be deprecated.*:DeprecationWarning", + ) + @pytest.mark.parametrize("long_name", ("pressure", "isobaric")) + def test_regrids_pressure_coordinates_to_pressure_levels(self, long_name): + ds = generate_lev_dataset(long_name) + + # Create the expected dataset using the original dataset. This involves + # updating the arrays and attributes of data variables and coordinates. + expected = ds.sel(lev=[800, 200]).drop_vars("ps") + expected["lev"].attrs = { + "axis": "Z", + "coordinate": "vertical", + "bounds": "lev_bnds", + } + expected["lev_bnds"] = xr.DataArray( + name="lev_bnds", + data=np.array([[1100.0, 500.0], [500.0, -100.0]]), + dims=["lev", "bnds"], + attrs={"xcdat_bounds": "True"}, + ) + result = regrid_z_axis_to_plevs(ds, "so", self.plevs) + + assert_identical(expected, result) + + @pytest.mark.filterwarnings( + "ignore:.*From version 0.8.0 the Axis computation methods will be removed.*:FutureWarning", + "ignore:.*The `xgcm.Axis` class will be deprecated.*:DeprecationWarning", + ) + @pytest.mark.parametrize("long_name", ("pressure", "isobaric")) + def test_regrids_pressure_coordinates_to_pressure_levels_with_Pa_units( + self, long_name + ): + ds = generate_lev_dataset(long_name) + + expected = ds.sel(lev=[800, 200]).drop_vars("ps") + expected["lev"].attrs = { + "axis": "Z", + "coordinate": "vertical", + "bounds": "lev_bnds", + } + expected["lev_bnds"] = xr.DataArray( + name="lev_bnds", + data=np.array([[1100.0, 500.0], [500.0, -100.0]]), + dims=["lev", "bnds"], + attrs={"xcdat_bounds": "True"}, + ) + + # Update mb to Pa so this test can make sure conversions to mb are done. + ds_pa = ds.copy() + with xr.set_options(keep_attrs=True): + ds_pa["lev"] = ds_pa.lev * 100 + ds_pa["lev_bnds"] = ds_pa.lev_bnds * 100 + ds_pa.lev.attrs["units"] = "Pa" + + result = regrid_z_axis_to_plevs(ds_pa, "so", self.plevs) + + assert_identical(expected, result) diff --git a/tests/e3sm_diags/fixtures.py b/tests/e3sm_diags/fixtures.py new file mode 100644 index 000000000..bf0b7249e --- /dev/null +++ b/tests/e3sm_diags/fixtures.py @@ -0,0 +1,106 @@ +from typing import Literal + +import cftime +import numpy as np +import xarray as xr + +time_decoded = xr.DataArray( + data=np.array( + [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 4, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 5, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ), + dims=["time"], + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + }, +) +lat = xr.DataArray( + data=np.array([-90, -88.75, 88.75, 90]), + dims=["lat"], + attrs={"units": "degrees_north", "axis": "Y", "standard_name": "latitude"}, +) + +lon = xr.DataArray( + data=np.array([0, 1.875, 356.25, 358.125]), + dims=["lon"], + attrs={"units": "degrees_east", "axis": "X", "standard_name": "longitude"}, +) + +lev = xr.DataArray( + data=[800, 600, 400, 200], + dims=["lev"], + attrs={"units": "mb", "positive": "down", "axis": "Z"}, +) + + +def generate_lev_dataset( + long_name: Literal["hybrid", "pressure", "isobaric"], pressure_vars: bool = True +) -> xr.Dataset: + """Generate a dataset with a Z axis ("lev"). + + Parameters + ---------- + long_name : {"hybrid", "pressure", "isobaric"} + The long name attribute for the Z axis coordinates. + pressure_vars : bool, optional + Whether or not to include variables ps, hyam, or hybm, by default True. + + Returns + ------- + xr.Dataset + """ + ds = xr.Dataset( + data_vars={ + "so": xr.DataArray( + name="so", + data=np.ones((5, 4, 4, 4)), + coords={"time": time_decoded, "lev": lev, "lat": lat, "lon": lon}, + ), + }, + coords={ + "lat": lat.copy(), + "lon": lon.copy(), + "time": time_decoded.copy(), + "lev": lev.copy(), + }, + ) + + ds["time"].encoding["calendar"] = "standard" + + ds = ds.bounds.add_missing_bounds(axes=["X", "Y", "Z", "T"]) + + ds["lev"].attrs["axis"] = "Z" + ds["lev"].attrs["bounds"] = "lev_bnds" + ds["lev"].attrs["long_name"] = long_name + + if pressure_vars: + ds["ps"] = xr.DataArray( + name="ps", + data=np.ones((5, 4, 4)), + coords={"time": ds.time, "lat": ds.lat, "lon": ds.lon}, + attrs={"long_name": "surface_pressure", "units": "Pa"}, + ) + + if long_name == "hybrid": + ds["hyam"] = xr.DataArray( + name="hyam", + data=np.ones((4)), + coords={"lev": ds.lev}, + attrs={"long_name": "hybrid A coefficient at layer midpoints"}, + ) + ds["hybm"] = xr.DataArray( + name="hybm", + data=np.ones((4)), + coords={"lev": ds.lev}, + attrs={"long_name": "hybrid B coefficient at layer midpoints"}, + ) + + return ds diff --git a/tests/e3sm_diags/metrics/__init__.py b/tests/e3sm_diags/metrics/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/e3sm_diags/metrics/test_metrics.py b/tests/e3sm_diags/metrics/test_metrics.py new file mode 100644 index 000000000..141b5e0d6 --- /dev/null +++ b/tests/e3sm_diags/metrics/test_metrics.py @@ -0,0 +1,209 @@ +import numpy as np +import pytest +import xarray as xr +from xarray.testing import assert_allclose + +from e3sm_diags.metrics.metrics import correlation, get_weights, rmse, spatial_avg, std + + +class TestGetWeights: + @pytest.fixture(autouse=True) + def setup(self): + self.ds = xr.Dataset( + coords={ + "lat": xr.DataArray( + data=[0, 1], dims="lat", attrs={"bounds": "lat_bnds", "axis": "Y"} + ), + "lon": xr.DataArray( + data=[0, 1], dims="lon", attrs={"bounds": "lon_bnds", "axis": "X"} + ), + "time": xr.DataArray(data=[1, 2, 3], dims="time"), + }, + ) + + self.ds["ts"] = xr.DataArray( + data=np.array([[[1, 2], [1, 2]], [[np.nan, 1], [1, 2]], [[2, 1], [1, 2]]]), + coords={"lat": self.ds.lat, "lon": self.ds.lon, "time": self.ds.time}, + dims=["time", "lat", "lon"], + ) + + # Bounds are used to generate weights. + self.ds["lat_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lat", "bnds"]) + self.ds["lon_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lon", "bnds"]) + + def test_returns_weights_for_x_y_axes(self): + expected = xr.DataArray( + name="lat_lon_wts", + data=np.array( + [[0.01745241, 0.01744709], [0.01745241, 0.01744709]], dtype="float64" + ), + coords={"lon": self.ds.lon, "lat": self.ds.lat}, + ) + result = get_weights(self.ds) + + assert_allclose(expected, result) + + +class TestSpatialAvg: + @pytest.fixture(autouse=True) + def setup(self): + self.ds = xr.Dataset( + coords={ + "lat": xr.DataArray( + data=[0, 1], dims="lat", attrs={"bounds": "lat_bnds", "axis": "Y"} + ), + "lon": xr.DataArray( + data=[0, 1], dims="lon", attrs={"bounds": "lon_bnds", "axis": "X"} + ), + "time": xr.DataArray(data=[1, 2, 3], dims="time"), + }, + ) + + self.ds["ts"] = xr.DataArray( + data=np.array([[[1, 2], [1, 2]], [[np.nan, 1], [1, 2]], [[2, 1], [1, 2]]]), + coords={"lat": self.ds.lat, "lon": self.ds.lon, "time": self.ds.time}, + dims=["time", "lat", "lon"], + ) + + # Bounds are used to generate weights. + self.ds["lat_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lat", "bnds"]) + self.ds["lon_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lon", "bnds"]) + + def test_returns_spatial_avg_for_x_y(self): + expected = [1.5, 1.333299, 1.5] + result = spatial_avg(self.ds, "ts") + + np.testing.assert_allclose(expected, result, atol=1e-5, rtol=1e-5) + + def test_returns_spatial_avg_for_x_y_as_xr_dataarray(self): + expected = [1.5, 1.333299, 1.5] + result = spatial_avg(self.ds, "ts", as_list=False) + + assert isinstance(result, xr.DataArray) + np.testing.assert_allclose(expected, result, atol=1e-5, rtol=1e-5) + + +class TestStd: + @pytest.fixture(autouse=True) + def setup(self): + self.ds = xr.Dataset( + coords={ + "lat": xr.DataArray( + data=[0, 1], dims="lat", attrs={"bounds": "lat_bnds", "axis": "Y"} + ), + "lon": xr.DataArray( + data=[0, 1], dims="lon", attrs={"bounds": "lon_bnds", "axis": "X"} + ), + "time": xr.DataArray(data=[1, 2, 3], dims="time"), + }, + ) + + self.ds["ts"] = xr.DataArray( + data=np.array([[[1, 2], [1, 2]], [[np.nan, 1], [1, 2]], [[2, 1], [1, 2]]]), + coords={"lat": self.ds.lat, "lon": self.ds.lon, "time": self.ds.time}, + dims=["time", "lat", "lon"], + ) + + # Bounds are used to generate weights. + self.ds["lat_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lat", "bnds"]) + self.ds["lon_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lon", "bnds"]) + + def test_returns_weighted_std_for_x_y_axes(self): + expected = [0.5, 0.47139255, 0.5] + result = std(self.ds, "ts") + + np.testing.assert_allclose(expected, result) + + +class TestCorrelation: + @pytest.fixture(autouse=True) + def setup(self): + self.var_key = "ts" + self.ds_a = xr.Dataset( + coords={ + "lat": xr.DataArray( + data=[0, 1], dims="lat", attrs={"bounds": "lat_bnds", "axis": "Y"} + ), + "lon": xr.DataArray( + data=[0, 1], dims="lon", attrs={"bounds": "lon_bnds", "axis": "X"} + ), + "time": xr.DataArray(data=[1, 2, 3], dims="time"), + }, + ) + + self.ds_a[self.var_key] = xr.DataArray( + data=np.array([[[1, 2], [1, 2]], [[np.nan, 1], [1, 2]], [[2, 1], [1, 2]]]), + coords={"lat": self.ds_a.lat, "lon": self.ds_a.lon, "time": self.ds_a.time}, + dims=["time", "lat", "lon"], + ) + + # Bounds are used to generate weights. + self.ds_a["lat_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lat", "bnds"]) + self.ds_a["lon_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lon", "bnds"]) + + self.ds_b = self.ds_a.copy() + self.ds_b[self.var_key] = xr.DataArray( + data=np.array( + [ + [[1, 2.25], [0.925, 2.10]], + [[np.nan, 1.2], [1.1, 2]], + [[2, 1.1], [1.1, 2]], + ] + ), + coords={"lat": self.ds_a.lat, "lon": self.ds_a.lon, "time": self.ds_a.time}, + dims=["time", "lat", "lon"], + ) + + def test_returns_weighted_correlation_on_x_y_axes(self): + expected = [0.99525143, 0.99484914, 1] + + result = correlation(self.ds_a, self.ds_b, self.var_key) + + np.testing.assert_allclose(expected, result) + + +class TestRmse: + @pytest.fixture(autouse=True) + def setup(self): + self.var_key = "ts" + self.ds_a = xr.Dataset( + coords={ + "lat": xr.DataArray( + data=[0, 1], dims="lat", attrs={"bounds": "lat_bnds", "axis": "Y"} + ), + "lon": xr.DataArray( + data=[0, 1], dims="lon", attrs={"bounds": "lon_bnds", "axis": "X"} + ), + "time": xr.DataArray(data=[1, 2, 3], dims="time"), + }, + ) + + self.ds_a[self.var_key] = xr.DataArray( + data=np.array([[[1, 2], [1, 2]], [[np.nan, 1], [1, 2]], [[2, 1], [1, 2]]]), + coords={"lat": self.ds_a.lat, "lon": self.ds_a.lon, "time": self.ds_a.time}, + dims=["time", "lat", "lon"], + ) + + # Bounds are used to generate weights. + self.ds_a["lat_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lat", "bnds"]) + self.ds_a["lon_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lon", "bnds"]) + + self.ds_b = self.ds_a.copy() + self.ds_b[self.var_key] = xr.DataArray( + data=np.array( + [ + [[1, 2.25], [0.925, 2.10]], + [[np.nan, 1.2], [1.1, 2]], + [[2, 1.1], [1.1, 2]], + ] + ), + coords={"lat": self.ds_a.lat, "lon": self.ds_a.lon, "time": self.ds_a.time}, + dims=["time", "lat", "lon"], + ) + + def test_returns_weighted_rmse_on_x_y_axes(self): + expected = [0.13976063, 0.12910862, 0.07071068] + + result = rmse(self.ds_a, self.ds_b, self.var_key) + + np.testing.assert_allclose(expected, result) diff --git a/tests/e3sm_diags/test_e3sm_diags_driver.py b/tests/e3sm_diags/test_e3sm_diags_driver.py index a06220a35..dab53422c 100644 --- a/tests/e3sm_diags/test_e3sm_diags_driver.py +++ b/tests/e3sm_diags/test_e3sm_diags_driver.py @@ -8,7 +8,10 @@ class TestRunDiag: + @pytest.mark.xfail def test_run_diag_serially_returns_parameters_with_results(self): + # FIXME: This test will fail while we refactor sets and utilities. It + # should be fixed after all sets are refactored. parameter = CoreParameter() parameter.sets = ["lat_lon"] @@ -20,7 +23,10 @@ def test_run_diag_serially_returns_parameters_with_results(self): # tests validates the results. assert results == expected + @pytest.mark.xfail def test_run_diag_with_dask_returns_parameters_with_results(self): + # FIXME: This test will fail while we refactor sets and utilities. It + # should be fixed after all sets are refactored. parameter = CoreParameter() parameter.sets = ["lat_lon"] @@ -39,9 +45,12 @@ def test_run_diag_with_dask_returns_parameters_with_results(self): # tests validates the results. assert results[0].__dict__ == expected[0].__dict__ + @pytest.mark.xfail def test_run_diag_with_dask_raises_error_if_num_workers_attr_not_set( self, ): + # FIXME: This test will while we refactor sets and utilities. It should + # be fixed after all sets are refactored. parameter = CoreParameter() parameter.sets = ["lat_lon"] del parameter.num_workers diff --git a/tests/e3sm_diags/test_parameters.py b/tests/e3sm_diags/test_parameters.py index 83162ad8b..4aa5fe2c9 100644 --- a/tests/e3sm_diags/test_parameters.py +++ b/tests/e3sm_diags/test_parameters.py @@ -79,7 +79,10 @@ def test_check_values_raises_error_if_test_timeseries_input_and_no_test_start_an with pytest.raises(RuntimeError): param.check_values() + @pytest.mark.xfail def test_returns_parameter_with_results(self): + # FIXME: This test will while we refactor sets and utilities. It should + # be fixed after all sets are refactored. parameter = CoreParameter() parameter.sets = ["lat_lon"] diff --git a/tests/integration/test_dataset.py b/tests/integration/test_dataset.py new file mode 100644 index 000000000..321bebe4d --- /dev/null +++ b/tests/integration/test_dataset.py @@ -0,0 +1,198 @@ +import unittest + +import cdms2 + +from e3sm_diags.derivations import acme as acme_derivations +from e3sm_diags.driver.utils.dataset import Dataset +from e3sm_diags.parameter.core_parameter import CoreParameter +from tests.integration.config import TEST_DATA_PATH + + +class TestDataset(unittest.TestCase): + def setUp(self): + self.parameter = CoreParameter() + + def test_convert_units(self): + with cdms2.open(f"{TEST_DATA_PATH}/precc.nc") as precc_file: + var = precc_file("PRECC") + + new_var = acme_derivations.convert_units(var, "mm/day") + self.assertEqual(new_var.units, "mm/day") + + def test_add_user_derived_vars(self): + my_vars = { + "A_NEW_VAR": { + ("v1", "v2"): lambda v1, v2: v1 + v2, + ("v3", "v4"): lambda v3, v4: v3 - v4, + }, + "PRECT": {("MY_PRECT",): lambda my_prect: my_prect}, + } + self.parameter.derived_variables = my_vars # type: ignore + data = Dataset(self.parameter, test=True) + self.assertTrue("A_NEW_VAR" in data.derived_vars) + + # In the default my_vars, each entry + # ('PRECT', 'A_NEW_VAR', etc) is an OrderedDict. + # We must check that what the user inserted is + # first, so it's used first. + self.assertTrue(list(data.derived_vars["PRECT"].keys())[0] == ("MY_PRECT",)) + + def test_is_timeseries(self): + self.parameter.ref_timeseries_input = True + data = Dataset(self.parameter, ref=True) + self.assertTrue(data.is_timeseries()) + + self.parameter.test_timeseries_input = True + data = Dataset(self.parameter, test=True) + self.assertTrue(data.is_timeseries()) + + self.parameter.ref_timeseries_input = False + data = Dataset(self.parameter, ref=True) + self.assertFalse(data.is_timeseries()) + + self.parameter.test_timeseries_input = False + data = Dataset(self.parameter, test=True) + self.assertFalse(data.is_timeseries()) + + def test_is_climo(self): + self.parameter.ref_timeseries_input = True + data = Dataset(self.parameter, ref=True) + self.assertFalse(data.is_climo()) + + self.parameter.test_timeseries_input = True + data = Dataset(self.parameter, test=True) + self.assertFalse(data.is_climo()) + + self.parameter.ref_timeseries_input = False + data = Dataset(self.parameter, ref=True) + self.assertTrue(data.is_climo()) + + self.parameter.test_timeseries_input = False + data = Dataset(self.parameter, test=True) + self.assertTrue(data.is_climo()) + + def test_get_attr_from_climo(self): + # We pass in the path to a file, so the input directory + # to the tests doesn't need to be like how it is for when e3sm_diags + # is ran wit a bunch of diags. + self.parameter.reference_data_path = TEST_DATA_PATH + self.parameter.ref_file = "ta_ERA-Interim_ANN_198001_201401_climo.nc" + data = Dataset(self.parameter, ref=True) + self.assertEqual(data.get_attr_from_climo("Conventions", "ANN"), "CF-1.0") + + """ + def test_process_derived_var_passes(self): + derived_var = { + 'PRECT': { + ('pr'): lambda x: x, + ('PRECC'): lambda x: 'this is some function' + } + } + + precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) + acme_derivations.process_derived_var('PRECT', derived_var, + precc_file, self.parameter) + precc_file.close() + + def test_process_derived_var_with_wrong_dict(self): + # pr, nothing, and nothing2 are not variables in the file we open + wrong_derived_var = { + 'PRECT': { + ('pr'): lambda x: x, + ('nothing1', 'nothing2'): lambda x, y: 'this is some function' + } + } + + precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) + with self.assertRaises(RuntimeError): + acme_derivations.process_derived_var( + 'PRECT', wrong_derived_var, precc_file, self.parameter) + precc_file.close() + + def test_process_derived_var_adds_to_dict(self): + # the one that's usually in the parameters file + derived_var_dict = { + 'PRECT': {('test'): lambda x: x} + } + # use this instead of the acme.derived_variables one + default_derived_vars = { + 'PRECT': { + ('pr'): lambda x: x, + ('PRECC'): lambda x: 'this is some function' + } + } + + # add derived_var_dict to default_derived_vars + precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) + self.parameter.derived_variables = derived_var_dict + acme_derivations.process_derived_var( + 'PRECT', default_derived_vars, precc_file, self.parameter) + precc_file.close() + + if 'test' not in default_derived_vars['PRECT']: + self.fail("Failed to insert test derived variable") + + # make sure that test is the first one + if 'test' != default_derived_vars['PRECT'].keys()[0]: + self.fail( + "Failed to insert test derived variable before default derived vars") + + def test_process_derived_var_adds_duplicate_to_dict(self): + # the one that's usually in the parameters file + # the function for PRECC below is different than the one in + # default_derived_vars + derived_var_dict = { + 'PRECT': {('PRECC'): lambda x: 'PRECC'} + } + # use this instead of the acme_derivations.derived_variables one + default_derived_vars = { + 'PRECT': { + ('pr'): lambda x: x, + ('PRECC'): lambda x: 'this is some function' + } + } + + # add derived_var_dict to default_derived_vars + precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) + self.parameter.derived_variables = derived_var_dict + msg = acme_derivations.process_derived_var( + 'PRECT', default_derived_vars, precc_file, self.parameter) + precc_file.close() + if msg != 'PRECC': + self.fail("Failed to insert a duplicate test derived variable") + + def test_process_derived_var_works_with_ordereddict(self): + derived_var_dict = { + 'PRECT': OrderedDict([ + (('something'), lambda x: 'something') + ]) + } + + default_derived_vars = { + 'PRECT': OrderedDict([ + (('pr'), lambda x: x), + (('PRECC'), lambda x: 'this is some function') + ]) + } + + precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) + self.parameter.derived_variables = derived_var_dict + acme_derivations.process_derived_var( + 'PRECT', default_derived_vars, precc_file, self.parameter) + precc_file.close() + # Check that 'something' was inserted first + self.assertEqual(['something', 'pr', 'PRECC'], + default_derived_vars['PRECT'].keys()) + + def test_mask_by(self): + with cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) as precc_file: + prcc = precc_file('PRECC') + with cdms2.open(get_abs_file_path('integration_test_data/precl.nc')) as precl_file: + prcl = precl_file('PRECL') + + acme_derivations.mask_by(prcc, prcl, low_limit=2.0) + """ + + +if __name__ == "__main__": + unittest.main() From 14126ec855abc8557cd04a891fab582d9a46cb7e Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 4 Dec 2023 16:44:01 -0800 Subject: [PATCH 02/41] Regression testing for lat_lon variables `NET_FLUX_SRF` and `RESTOM` (#754) --- .../671-lat-lon/11_28_23_qa_diffs.py | 70 + .../12-4-23-qa-no-cdms-slice.ipynb | 800 ++++++++++ .../671-lat-lon/12_4_23_qa_no_cdms_slice.py | 100 ++ .../671-lat-lon/671-diags.cfg | 15 + .../671-lat-lon/671-lat-lon.ipynb | 475 ++++++ .../671-lat-lon/ex1.py | 61 + .../671-lat-lon/ex1_3d.py | 41 + .../template_cdat_regression_test.ipynb | 468 ++++++ .../cdat_regression_testing/utils.py | 162 ++ .../template_cdat_regression_test.ipynb | 1333 ----------------- 10 files changed, 2192 insertions(+), 1333 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/11_28_23_qa_diffs.py create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/12_4_23_qa_no_cdms_slice.py create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/671-diags.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/671-lat-lon.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1.py create mode 100644 auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1_3d.py create mode 100644 auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/utils.py delete mode 100644 auxiliary_tools/template_cdat_regression_test.ipynb diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/11_28_23_qa_diffs.py b/auxiliary_tools/cdat_regression_testing/671-lat-lon/11_28_23_qa_diffs.py new file mode 100644 index 000000000..757ed9baa --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/11_28_23_qa_diffs.py @@ -0,0 +1,70 @@ +""" +QA diffs + +* NET_FLUX_SRF - test and ref +* RESTOM - test and ref + +""" +# %% +import os +import sys + +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.run import runner + +param = CoreParameter() + +# Location of the data. +param.test_data_path = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1" +param.reference_data_path = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1" + +# Variables +param.variables = ["NET_FLUX_SRF", "RESTOM"] + +# Set this parameter to True. +# By default, e3sm_diags expects the test data to be climo data. +param.test_timeseries_input = True +# Years to slice the test data, base this off the years in the filenames. +param.test_start_yr = "2011" +param.test_end_yr = "2013" + +# Set this parameter to True. +# By default, e3sm_diags expects the ref data to be climo data. +param.ref_timeseries_input = True +# Years to slice the ref data, base this off the years in the filenames +param.ref_start_yr = "1850" +param.ref_end_yr = "1852" + +# When running with time-series data, you don't need to specify the name of the data. +# But you should, otherwise nothing is displayed when the test/ref name is needed. +param.short_test_name = "historical_H1" +param.short_ref_name = "historical_H1" + +# This parameter modifies the software to accommodate model vs model runs. +# The default setting for run_type is 'model_vs_obs'. +param.run_type = "model_vs_model" +# Name of the folder where the results are stored. +# Change `prefix` to use your directory. +prefix = "/global/cfs/cdirs/e3sm/www/vo13/examples" +param.results_dir = os.path.join(prefix, "run_refactor_single_param") + +# Below are more optional arguments. + +# What plotsets to run the diags on. +# If not defined, then all available sets are used. +param.sets = ["lat_lon"] +# What seasons to run the diags on. +# If not defined, diags are run on ['ANN', 'DJF', 'MAM', 'JJA', 'SON']. +param.seasons = ["ANN"] +# Title of the difference plots. +param.diff_title = "Model (2011-2013) - Model (1850-1852)" + +# For running with multiprocessing. +param.multiprocessing = False +# param.num_workers = 24 + +# %% +DIR_PATH = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/671-lat-lon" +CFG_PATH = os.path.join(DIR_PATH, "671-diags.cfg") +sys.argv.extend(["-d", CFG_PATH]) +runner.run_diags([param]) diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb b/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb new file mode 100644 index 000000000..7f53b053c --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb @@ -0,0 +1,800 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook\n", + "\n", + "Comparing `cdat-migration-fy24` against `main` without the slice_flag.\n", + "\n", + "FINDNGS: Results are all nearly identical.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_metrics,\n", + " get_rel_diffs,\n", + " get_num_metrics_above_diff_thres,\n", + " highlight_large_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " PERCENTAGE_COLUMNS,\n", + ")\n", + "\n", + "import pandas as pd\n", + "\n", + "# TODO: Update DEV_RESULTS and MAIN_RESULTS to your diagnostic sets.\n", + "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "MAIN_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_main_no_slice/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "\n", + "df_metrics_dev2 = df_metrics_dev.reset_index(names=[\"var_key\", \"metric\"])\n", + "df_metrics_dev2 = df_metrics_dev2.loc[\n", + " df_metrics_dev2.var_key.isin(df_metrics_main.index.get_level_values(0).unique())\n", + "]\n", + "df_metrics_dev2 = df_metrics_dev2.set_index([\"var_key\", \"metric\"])\n", + "\n", + "\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev2, df_metrics_main)" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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test DIFF (%)ref DIFF (%)test_regrid DIFF (%)ref_regrid DIFF (%)diff DIFF (%)misc DIFF (%)
var_keymetric
LHFLXmin0.000000e+000.000000e+000.000000e+000.000000e+002.066978e-16NaN
max0.000000e+002.061090e-160.000000e+002.061090e-160.000000e+00NaN
mean1.607934e-151.118090e-151.607934e-151.118090e-151.693728e-15NaN
stdNaNNaN5.414602e-165.367577e-16NaNNaN
rmseNaNNaNNaNNaNNaN0.000000e+00
corrNaNNaNNaNNaNNaN0.000000e+00
LWCFmin0.000000e+000.000000e+000.000000e+000.000000e+001.343861e-15NaN
max0.000000e+003.300170e-160.000000e+003.300170e-160.000000e+00NaN
mean1.894919e-151.310068e-151.894919e-151.310068e-152.985093e-14NaN
stdNaNNaN6.638807e-161.639685e-16NaNNaN
rmseNaNNaNNaNNaNNaN0.000000e+00
corrNaNNaNNaNNaNNaN0.000000e+00
NET_FLUX_SRFmin0.000000e+000.000000e+000.000000e+000.000000e+001.873360e-16NaN
max1.825516e-161.706434e-161.825516e-161.706434e-160.000000e+00NaN
mean2.535940e-151.465413e-142.535940e-151.465413e-142.161829e-15NaN
stdNaNNaN3.531975e-164.735973e-16NaNNaN
rmseNaNNaNNaNNaNNaN0.000000e+00
corrNaNNaNNaNNaNNaN0.000000e+00
PRECTmin0.000000e+000.000000e+000.000000e+000.000000e+000.000000e+00NaN
max2.054785e-163.506280e-162.054785e-163.506280e-165.683466e-16NaN
mean1.308796e-151.010973e-151.308796e-151.010973e-150.000000e+00NaN
stdNaNNaN4.107430e-164.058335e-16NaNNaN
rmseNaNNaNNaNNaNNaN0.000000e+00
corrNaNNaNNaNNaNNaN0.000000e+00
PSLmin0.000000e+001.168177e-160.000000e+001.168177e-163.592752e-14NaN
max2.216200e-160.000000e+002.216200e-160.000000e+003.973074e-14NaN
mean1.124213e-151.236728e-151.124213e-151.236728e-151.300318e-14NaN
stdNaNNaN5.030916e-163.531204e-16NaNNaN
rmseNaNNaNNaNNaNNaN1.064570e-15
corrNaNNaNNaNNaNNaN0.000000e+00
RESTOMmin2.226235e-160.000000e+002.226235e-160.000000e+004.666565e-16NaN
max0.000000e+001.620247e-160.000000e+001.620247e-168.168903e-16NaN
mean6.224919e-151.107688e-136.224919e-151.107688e-132.155737e-15NaN
stdNaNNaN3.940225e-163.955053e-16NaNNaN
rmseNaNNaNNaNNaNNaN2.985625e-16
corrNaNNaNNaNNaNNaN0.000000e+00
TREFHTmin2.525625e-161.221719e-162.525625e-161.221719e-161.466053e-15NaN
max1.140829e-161.191418e-161.140829e-161.191418e-163.565723e-16NaN
mean1.443220e-151.026647e-151.443220e-151.026647e-151.076803e-15NaN
stdNaNNaN3.950659e-165.141888e-16NaNNaN
rmseNaNNaNNaNNaNNaN0.000000e+00
corrNaNNaNNaNNaNNaN0.000000e+00
min2.525625e-161.221719e-162.525625e-161.221719e-161.466053e-15NaN
max1.140829e-161.191418e-161.140829e-161.191418e-167.298314e-16NaN
mean9.253642e-158.350693e-159.253642e-158.350693e-159.621027e-15NaN
stdNaNNaN4.922302e-154.475437e-15NaNNaN
rmseNaNNaNNaNNaNNaN0.000000e+00
corrNaNNaNNaNNaNNaN0.000000e+00
\n", + "
" + ], + "text/plain": [ + " test DIFF (%) ref DIFF (%) test_regrid DIFF (%) \\\n", + "var_key metric \n", + "LHFLX min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 0.000000e+00 2.061090e-16 0.000000e+00 \n", + " mean 1.607934e-15 1.118090e-15 1.607934e-15 \n", + " std NaN NaN 5.414602e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "LWCF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 0.000000e+00 3.300170e-16 0.000000e+00 \n", + " mean 1.894919e-15 1.310068e-15 1.894919e-15 \n", + " std NaN NaN 6.638807e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "NET_FLUX_SRF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 1.825516e-16 1.706434e-16 1.825516e-16 \n", + " mean 2.535940e-15 1.465413e-14 2.535940e-15 \n", + " std NaN NaN 3.531975e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "PRECT min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 2.054785e-16 3.506280e-16 2.054785e-16 \n", + " mean 1.308796e-15 1.010973e-15 1.308796e-15 \n", + " std NaN NaN 4.107430e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "PSL min 0.000000e+00 1.168177e-16 0.000000e+00 \n", + " max 2.216200e-16 0.000000e+00 2.216200e-16 \n", + " mean 1.124213e-15 1.236728e-15 1.124213e-15 \n", + " std NaN NaN 5.030916e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "RESTOM min 2.226235e-16 0.000000e+00 2.226235e-16 \n", + " max 0.000000e+00 1.620247e-16 0.000000e+00 \n", + " mean 6.224919e-15 1.107688e-13 6.224919e-15 \n", + " std NaN NaN 3.940225e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "TREFHT min 2.525625e-16 1.221719e-16 2.525625e-16 \n", + " max 1.140829e-16 1.191418e-16 1.140829e-16 \n", + " mean 1.443220e-15 1.026647e-15 1.443220e-15 \n", + " std NaN NaN 3.950659e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + " min 2.525625e-16 1.221719e-16 2.525625e-16 \n", + " max 1.140829e-16 1.191418e-16 1.140829e-16 \n", + " mean 9.253642e-15 8.350693e-15 9.253642e-15 \n", + " std NaN NaN 4.922302e-15 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "\n", + " ref_regrid DIFF (%) diff DIFF (%) misc DIFF (%) \n", + "var_key metric \n", + "LHFLX min 0.000000e+00 2.066978e-16 NaN \n", + " max 2.061090e-16 0.000000e+00 NaN \n", + " mean 1.118090e-15 1.693728e-15 NaN \n", + " std 5.367577e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "LWCF min 0.000000e+00 1.343861e-15 NaN \n", + " max 3.300170e-16 0.000000e+00 NaN \n", + " mean 1.310068e-15 2.985093e-14 NaN \n", + " std 1.639685e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "NET_FLUX_SRF min 0.000000e+00 1.873360e-16 NaN \n", + " max 1.706434e-16 0.000000e+00 NaN \n", + " mean 1.465413e-14 2.161829e-15 NaN \n", + " std 4.735973e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "PRECT min 0.000000e+00 0.000000e+00 NaN \n", + " max 3.506280e-16 5.683466e-16 NaN \n", + " mean 1.010973e-15 0.000000e+00 NaN \n", + " std 4.058335e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "PSL min 1.168177e-16 3.592752e-14 NaN \n", + " max 0.000000e+00 3.973074e-14 NaN \n", + " mean 1.236728e-15 1.300318e-14 NaN \n", + " std 3.531204e-16 NaN NaN \n", + " rmse NaN NaN 1.064570e-15 \n", + " corr NaN NaN 0.000000e+00 \n", + "RESTOM min 0.000000e+00 4.666565e-16 NaN \n", + " max 1.620247e-16 8.168903e-16 NaN \n", + " mean 1.107688e-13 2.155737e-15 NaN \n", + " std 3.955053e-16 NaN NaN \n", + " rmse NaN NaN 2.985625e-16 \n", + " corr NaN NaN 0.000000e+00 \n", + "TREFHT min 1.221719e-16 1.466053e-15 NaN \n", + " max 1.191418e-16 3.565723e-16 NaN \n", + " mean 1.026647e-15 1.076803e-15 NaN \n", + " std 5.141888e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + " min 1.221719e-16 1.466053e-15 NaN \n", + " max 1.191418e-16 7.298314e-16 NaN \n", + " mean 8.350693e-15 9.621027e-15 NaN \n", + " std 4.475437e-15 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 " + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_metrics_diffs" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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test DIFF (%)ref DIFF (%)test_regrid DIFF (%)ref_regrid DIFF (%)diff DIFF (%)misc DIFF (%)
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" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [test DIFF (%), ref DIFF (%), test_regrid DIFF (%), ref_regrid DIFF (%), diff DIFF (%), misc DIFF (%)]\n", + "Index: []" + ] + }, + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_metrics_diffs_thres" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Findings: No metrics are above the 2% threshold after removing the `slice_flag` used in\n", + "the CDAT version of the codebase.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/12_4_23_qa_no_cdms_slice.py b/auxiliary_tools/cdat_regression_testing/671-lat-lon/12_4_23_qa_no_cdms_slice.py new file mode 100644 index 000000000..6d898f18e --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/12_4_23_qa_no_cdms_slice.py @@ -0,0 +1,100 @@ +"""This script compares the time series, climatology, and spatial average of the +climatology between the cdat-migration-fy24 and main branches. + +CONCLUSION: + - In the CDAT version of the Dataset class, cdms2.open is being called + with a slice flag (either "co"/"ccb"). In the case of NETFLUX_SRF, "co" is + being set because time coordinates start at the beginning of the month. + - This adds an additional time coordinate point to the end of the time series + file, which affects the subsequen climatology and spatial averaging + calculations. + +I found omitting the extra time coordinate point before calculating the +climatology and spatial averaging results in an identical result to the xCDAT +version. + +Next options: +1. Add a feature to the Dataset class that adds an extra coordinate point using +the slice flag conditional + +Related lines of code on `main`: + - https://github.com/E3SM-Project/e3sm_diags/blob/633b52c314325e605fe7f62687cc4d00e5a0a3d5/e3sm_diags/driver/utils/dataset.py#L665-L672 + - https://github.com/E3SM-Project/e3sm_diags/blob/633b52c314325e605fe7f62687cc4d00e5a0a3d5/e3sm_diags/driver/utils/dataset.py#L699-L700 + + +""" +import cdms2 +import numpy as np +import xarray as xr + +from e3sm_diags.driver.utils.climo import climo +from e3sm_diags.metrics import mean +from e3sm_diags.metrics.metrics import spatial_avg + +# Path to the netcdf files for NET_FLUX_SRF generated on `cdat-migration-fy24` +# and `main` using `ex1.py`. +DIR_PATH = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/671-lat-lon" + + +# Compare time series -- identical only if extra time coordinate is removed +# ------------------------------------------------------------------------------ +ds_ts1 = xr.open_dataset(f"{DIR_PATH}/671-ts-input.nc") +ds_ts2 = xr.open_dataset(f"{DIR_PATH}/main-ts-input.nc") +ds_ts2 = ds_ts2.rename({"variable_58": "NET_FLUX_SRF"}) + +# Extra time coordinate becaues of the cdms2 slice flag ("co" for beginning of +# the month/"ccb" for mid-month) +ds_ts2_sub = ds_ts2.isel(time=slice(0, -1)) +np.testing.assert_allclose(ds_ts1["NET_FLUX_SRF"], ds_ts2_sub["NET_FLUX_SRF"]) + +# Result: True + +# Compare climatologies -- not identical (due to extra coordinate point) +# ------------------------------------------------------------------------------ +ds_climo1 = xr.open_dataset(f"{DIR_PATH}/671-climo.nc") +ds_climo2 = xr.open_dataset(f"{DIR_PATH}/main-climo.nc") +ds_climo2 = ds_climo2.rename({"variable_58": "NET_FLUX_SRF"}) + +np.testing.assert_allclose(ds_climo1["NET_FLUX_SRF"], ds_climo2["NET_FLUX_SRF"]) + +# Result: AssertionError: +# Not equal to tolerance rtol=1e-07, atol=0 + +# Mismatched elements: 33024 / 33024 (100%) +# Max absolute difference: 17.20686057 +# Max relative difference: 16932.010712 +# x: array([[-0.439175, -0.439179, -0.439189, ..., -0.439205, -0.439189, +# -0.439179], +# [-0.435518, -0.435518, -0.435514, ..., -0.435508, -0.435514,... +# y: array([[ 0.026507, 0.026507, 0.026507, ..., 0.026508, 0.026507, +# 0.026507], +# [-0.020339, -0.02031 , -0.020224, ..., -0.02008 , -0.020224,... + + +# Compare spatial averages -- not identical (due to extra coordinate point) +# ------------------------------------------------------------------------------ +ds_avg1 = spatial_avg(ds_climo1, "NET_FLUX_SRF") + +ds_avg2 = cdms2.open(f"{DIR_PATH}/main-climo.nc")["variable_58"] +ds_avg2 = mean(ds_avg2) + +np.testing.assert_allclose(ds_avg1, ds_avg2.data) +# Mismatched elements: 1 / 1 (100%) +# Max absolute difference: 0.12231419 +# Max relative difference: 0.23689147 +# x: array(0.394016) +# y: array(0.51633) + + +# Now let's try removing that extra coordinate point from the cdms2 time series +# ----------------------------------------------------------------------------- +ds_ts3 = cdms2.open(f"{DIR_PATH}/main-ts-input.nc")["variable_58"] +ds_ts3_sub = ds_ts3(time=("2011-2-1", "2013-12-1")) + +# Climatologies are now identical! +ds_climo3 = climo(ds_ts3_sub, "ANN") +np.testing.assert_allclose(ds_climo1["NET_FLUX_SRF"].data, ds_climo3.data) + +# Spatial averages are now identical! +ds_avg3 = mean(ds_climo3) +np.testing.assert_allclose(ds_avg1, ds_avg3) diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/671-diags.cfg b/auxiliary_tools/cdat_regression_testing/671-lat-lon/671-diags.cfg new file mode 100644 index 000000000..d411a529f --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/671-diags.cfg @@ -0,0 +1,15 @@ +[#] +sets = ["lat_lon"] +case_id = "model_vs_model" +variables = ["NET_FLUX_SRF"] +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-200, -160, -120, -80, -40, 0, 40, 80, 120, 160, 200] +diff_levels = [-75, -50, -25, -10, -5, -2, 2, 5, 10, 25, 50, 75] + +[#] +sets = ["lat_lon"] +case_id = "model_vs_model" +variables = ["RESTOM"] +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-120, -100, -80, -60, -40, -20, 0, 20, 40, 60, 80] +diff_levels = [-30, -25, -20, -15, -10, -5, -2, 2, 5, 10, 15, 20, 25, 30] diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/671-lat-lon.ipynb b/auxiliary_tools/cdat_regression_testing/671-lat-lon/671-lat-lon.ipynb new file mode 100644 index 000000000..9a7add496 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/671-lat-lon.ipynb @@ -0,0 +1,475 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_metrics,\n", + " get_rel_diffs,\n", + " get_num_metrics_above_diff_thres,\n", + " highlight_large_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " PERCENTAGE_COLUMNS,\n", + ")\n", + "\n", + "import pandas as pd\n", + "\n", + "# TODO: Update DEV_RESULTS and MAIN_RESULTS to your diagnostic sets.\n", + "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "MAIN_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine all DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_main.add_suffix(\"_main\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")\n", + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = sort_columns(df_final)\n", + "df_final = update_diffs_to_pct(df_final)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Review variables and metrics above difference threshold.\n", + "\n", + "- Red cells are differences >= 2%\n", + "- `nan` cells are differences < 2% and **should be ignored**\n" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "* Related variables ['FSNTOA', 'LHFLX', 'LWCF', 'NET_FLUX_SRF', 'PRECT', 'PSL', 'RESTOM', 'TREFHT']\n", + "* Number of metrics above 2% max threshold: 11 / 96\n" + ] + } + ], + "source": [ + "remove_metrics = [\"min\", \"max\"]\n", + "df_metrics_sub = df_final.reset_index(names=[\"var_key\", \"metric\"])\n", + "df_metrics_sub = df_metrics_sub[~df_metrics_sub.metric.isin(remove_metrics)]\n", + "get_num_metrics_above_diff_thres(df_metrics_all, df_metrics_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 var_keymetrictest_devtest_maintest DIFF (%)ref_devref_mainref DIFF (%)test_regrid_devtest_regrid_maintest_regrid DIFF (%)ref_regrid_devref_regrid_mainref_regrid DIFF (%)misc_devmisc_mainmisc DIFF (%)
5FSNTOAmean239.859777240.001860nan241.439641241.544384nan239.859777240.001860nan241.439641241.544384nannannannan
8LHFLXmean88.37960988.470270nan88.96955088.976266nan88.37960988.470270nan88.96955088.976266nannannannan
11LWCFmean24.37322424.370539nan24.40669724.391579nan24.37322424.370539nan24.40669724.391579nannannannan
16NET_FLUX_SRFmean0.3940160.51633031.04%-0.0681860.068584200.58%0.3940160.51633031.04%-0.0681860.068584200.58%nannannan
19PRECTmean3.0538023.056760nan3.0748853.074978nan3.0538023.056760nan3.0748853.074978nannannannan
21PSLrmsenannannannannannannannannannannannan1.0428840.9799816.03%
23RESTOMmean0.4815490.65656036.34%0.0180410.162984803.40%0.4815490.65656036.34%0.0180410.162984803.40%nannannan
34TREFHTmean14.76994614.741707nan13.84201313.800258nan14.76994614.741707nan13.84201313.800258nannannannan
35TREFHTmean9.2142249.114572nan8.0833497.957917nan9.2142249.114572nan8.0833497.957917nannannannan
40TREFHTrmsenannannannannannannannannannannannan1.1607181.1799952.68%
41TREFHTrmsenannannannannannannannannannannannan1.3431691.3791412.68%
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_sub_metrics)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## `NET_FLUX_SRF` and `RESTOM` contain the highest differences and should be investigated further\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1.py b/auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1.py new file mode 100644 index 000000000..4bed0817d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1.py @@ -0,0 +1,61 @@ +# %% +import os + +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.run import runner + +param = CoreParameter() + +# Location of the data. +param.test_data_path = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1" +param.reference_data_path = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1" + +# Variables +param.variables = ["PRECT"] + +# Set this parameter to True. +# By default, e3sm_diags expects the test data to be climo data. +param.test_timeseries_input = True +# Years to slice the test data, base this off the years in the filenames. +param.test_start_yr = "2011" +param.test_end_yr = "2013" + +# Set this parameter to True. +# By default, e3sm_diags expects the ref data to be climo data. +param.ref_timeseries_input = True +# Years to slice the ref data, base this off the years in the filenames +param.ref_start_yr = "1850" +param.ref_end_yr = "1852" + +# When running with time-series data, you don't need to specify the name of the data. +# But you should, otherwise nothing is displayed when the test/ref name is needed. +param.short_test_name = "historical_H1" +param.short_ref_name = "historical_H1" + +# This parameter modifies the software to accommodate model vs model runs. +# The default setting for run_type is 'model_vs_obs'. +param.run_type = "model_vs_model" +# Name of the folder where the results are stored. +# Change `prefix` to use your directory. +prefix = "/global/cfs/cdirs/e3sm/www/vo13/examples" +param.results_dir = os.path.join(prefix, "run_refactor_single_param") + +# Below are more optional arguments. + +# What plotsets to run the diags on. +# If not defined, then all available sets are used. +param.sets = ["lat_lon"] +# What seasons to run the diags on. +# If not defined, diags are run on ['ANN', 'DJF', 'MAM', 'JJA', 'SON']. +param.seasons = ["ANN"] +# Title of the difference plots. +param.diff_title = "Model (2011-2013) - Model (1850-1852)" + +# For running with multiprocessing. +param.multiprocessing = False +# param.num_workers = 24 + +# %% +runner.run_diags([param]) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1_3d.py b/auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1_3d.py new file mode 100644 index 000000000..0cced4771 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/ex1_3d.py @@ -0,0 +1,41 @@ +# %% +import os + +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.run import runner + +param = CoreParameter() + +# %% +param.sets = ["lat_lon"] +param.case_id = "ERA-Interim" +param.variables = ["T"] +param.seasons = ["ANN"] +param.plevs = [850.0] +param.contour_levels = [240, 245, 250, 255, 260, 265, 270, 275, 280, 285, 290, 295] +param.diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + +param.test_name = "system tests" +param.short_test_name = "short_system tests" +param.ref_name = "ERA-Interim" +param.reference_name = "ERA-Interim Reanalysis 1979-2015" +param.reference_data_path = ( + "/global/u2/v/vo13/E3SM-Project/e3sm_diags/tests/integration/integration_test_data" +) +param.ref_file = "ta_ERA-Interim_ANN_198001_201401_climo.nc" +param.test_data_path = ( + "/global/u2/v/vo13/E3SM-Project/e3sm_diags/tests/integration/integration_test_data" +) +param.test_file = "T_20161118.beta0.FC5COSP.ne30_ne30.edison_ANN_climo.nc" + +param.backend = "mpl" +prefix = "/global/cfs/cdirs/e3sm/www/vo13/examples" +param.results_dir = os.path.join(prefix, "lat_lon_3d_var_test") +param.debug = True +param.multiprocessing = False + + +# %% +runner.run_diags([param]) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb new file mode 100644 index 000000000..3cd30e7e5 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb @@ -0,0 +1,468 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_metrics,\n", + " get_rel_diffs,\n", + " get_num_metrics_above_diff_thres,\n", + " highlight_large_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " PERCENTAGE_COLUMNS,\n", + ")\n", + "\n", + "import pandas as pd\n", + "\n", + "# TODO: Update DEV_RESULTS and MAIN_RESULTS to your diagnostic sets.\n", + "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "MAIN_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine all DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_main.add_suffix(\"_main\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")\n", + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = sort_columns(df_final)\n", + "df_final = update_diffs_to_pct(df_final)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Review variables and metrics above difference threshold.\n", + "\n", + "- Red cells are differences >= 2%\n", + "- `nan` cells are differences < 2% and **should be ignored**\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "* Related variables ['FSNTOA', 'LHFLX', 'LWCF', 'NET_FLUX_SRF', 'PRECT', 'PSL', 'RESTOM', 'TREFHT']\n", + "* Number of metrics above 2% max threshold: 11 / 96\n" + ] + } + ], + "source": [ + "remove_metrics = [\"min\", \"max\"]\n", + "df_metrics_sub = df_final.reset_index(names=[\"var_key\", \"metric\"])\n", + "df_metrics_sub = df_metrics_sub[~df_metrics_sub.metric.isin(remove_metrics)]\n", + "get_num_metrics_above_diff_thres(df_metrics_all, df_metrics_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 var_keymetrictest_devtest_maintest DIFF (%)ref_devref_mainref DIFF (%)test_regrid_devtest_regrid_maintest_regrid DIFF (%)ref_regrid_devref_regrid_mainref_regrid DIFF (%)misc_devmisc_mainmisc DIFF (%)
5FSNTOAmean239.859777240.001860nan241.439641241.544384nan239.859777240.001860nan241.439641241.544384nannannannan
8LHFLXmean88.37960988.470270nan88.96955088.976266nan88.37960988.470270nan88.96955088.976266nannannannan
11LWCFmean24.37322424.370539nan24.40669724.391579nan24.37322424.370539nan24.40669724.391579nannannannan
16NET_FLUX_SRFmean0.3940160.51633031.04%-0.0681860.068584200.58%0.3940160.51633031.04%-0.0681860.068584200.58%nannannan
19PRECTmean3.0538023.056760nan3.0748853.074978nan3.0538023.056760nan3.0748853.074978nannannannan
21PSLrmsenannannannannannannannannannannannan1.0428840.9799816.03%
23RESTOMmean0.4815490.65656036.34%0.0180410.162984803.40%0.4815490.65656036.34%0.0180410.162984803.40%nannannan
34TREFHTmean14.76994614.741707nan13.84201313.800258nan14.76994614.741707nan13.84201313.800258nannannannan
35TREFHTmean9.2142249.114572nan8.0833497.957917nan9.2142249.114572nan8.0833497.957917nannannannan
40TREFHTrmsenannannannannannannannannannannannan1.1607181.1799952.68%
41TREFHTrmsenannannannannannannannannannannannan1.3431691.3791412.68%
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_metrics_sub)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## `NET_FLUX_SRF` and `RESTOM` contain the highest differences and should be investigated further\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/utils.py b/auxiliary_tools/cdat_regression_testing/utils.py new file mode 100644 index 000000000..9a9e844b1 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/utils.py @@ -0,0 +1,162 @@ +import math +from typing import List + +import pandas as pd +from IPython.display import display + +# The names of the columns that store percentage difference values. +PERCENTAGE_COLUMNS = [ + "test DIFF (%)", + "ref DIFF (%)", + "test_regrid DIFF (%)", + "ref_regrid DIFF (%)", + "misc DIFF (%)", +] + + +def get_metrics(filepaths: List[str]) -> pd.DataFrame: + """Get the metrics using a glob of `.json` metric files in a directory. + + Parameters + ---------- + filepaths : List[str] + The filepaths for metrics `.json` files. + + Returns + ------- + pd.DataFrame + The DataFrame containing the metrics for all of the variables in + the results directory. + """ + metrics = [] + + for filepath in filepaths: + df = pd.read_json(filepath) + + filename = filepath.split("/")[-1] + var_key = filename.split("-")[1] + + # Add the variable key to the MultiIndex and update the index + # before stacking to make the DataFrame easier to parse. + multiindex = pd.MultiIndex.from_product([[var_key], [*df.index]]) + df = df.set_index(multiindex) + df.stack() + + metrics.append(df) + + df_final = pd.concat(metrics) + + # Reorder columns and drop "unit" column (string dtype breaks Pandas + # arithmetic). + df_final = df_final[["test", "ref", "test_regrid", "ref_regrid", "diff", "misc"]] + + return df_final + + +def get_rel_diffs(df_actual: pd.DataFrame, df_reference: pd.DataFrame) -> pd.DataFrame: + """Get the relative differences between two DataFrames. + + Formula: abs(actual - reference) / abs(actual) + + Parameters + ---------- + df_actual : pd.DataFrame + The first DataFrame representing "actual" results (dev branch). + df_reference : pd.DataFrame + The second DataFrame representing "reference" results (main branch). + + Returns + ------- + pd.DataFrame + The DataFrame containing absolute and relative differences between + the metrics DataFrames. + """ + df_diff = abs(df_actual - df_reference) / abs(df_actual) + df_diff = df_diff.add_suffix(" DIFF (%)") + + return df_diff + + +def sort_columns(df: pd.DataFrame) -> pd.DataFrame: + """Sorts the order of the columns for the final DataFrame output. + + Parameters + ---------- + df : pd.DataFrame + The final DataFrame output. + + Returns + ------- + pd.DataFrame + The final DataFrame output with sorted columns. + """ + columns = [ + "test_dev", + "test_main", + "test DIFF (%)", + "ref_dev", + "ref_main", + "ref DIFF (%)", + "test_regrid_dev", + "test_regrid_main", + "test_regrid DIFF (%)", + "ref_regrid_dev", + "ref_regrid_main", + "ref_regrid DIFF (%)", + "misc_dev", + "misc_main", + "misc DIFF (%)", + ] + + df_new = df.copy() + df_new = df_new[columns] + + return df_new + + +def update_diffs_to_pct(df: pd.DataFrame): + """Update relative diff columns from float to string percentage. + + Parameters + ---------- + df : pd.DataFrame + The final DataFrame containing metrics and diffs (floats). + + Returns + ------- + pd.DataFrame + The final DataFrame containing metrics and diffs (str percentage). + """ + df_new = df.copy() + df_new[PERCENTAGE_COLUMNS] = df_new[PERCENTAGE_COLUMNS].map( + lambda x: "{0:.2f}%".format(x * 100) if not math.isnan(x) else x + ) + + return df_new + + +def highlight_large_diffs(df: pd.DataFrame): + if "var_key" not in df.columns and "metric" not in df.columns: + df_new = df.reset_index(names=["var_key", "metric"]) + else: + df_new = df.copy() + + df_new = df_new.style.map( + lambda x: "background-color : red" if isinstance(x, str) else "", + subset=pd.IndexSlice[:, PERCENTAGE_COLUMNS], + ) + + display(df_new) + + +def get_num_metrics_above_diff_thres( + df_metrics: pd.DataFrame, df_metric_above_thres: pd.DataFrame +): + var_keys = list(df_metric_above_thres.var_key.unique()) + print(f"* Related variables {var_keys}") + + num_rows = df_metrics.shape[0] + num_rows_largest_diffs = df_metric_above_thres.shape[0] + print( + f"* Number of metrics above 2% max threshold: {num_rows_largest_diffs} / {num_rows}" + ) diff --git a/auxiliary_tools/template_cdat_regression_test.ipynb b/auxiliary_tools/template_cdat_regression_test.ipynb deleted file mode 100644 index 8b4d00bd1..000000000 --- a/auxiliary_tools/template_cdat_regression_test.ipynb +++ /dev/null @@ -1,1333 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# CDAT Migration Regression Test (FY24)\n", - "\n", - "This notebook is used to perform regression testing between the development and\n", - "production versions of a diagnostic set.\n", - "\n", - "## How it works\n", - "\n", - "It compares the relative differences (%) between two sets of `.json` files in two\n", - "separate directories, one for the refactored code and the other for the `main` branch.\n", - "\n", - "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", - "\n", - "- Relative differences are in percentages, which shows the scale of the differences.\n", - "- Absolute differences are just a raw number that doesn't factor in\n", - " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", - "\n", - "## How to use\n", - "\n", - "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", - "(dev and `main` branches).\n", - "\n", - "1. Make a copy of this notebook.\n", - "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" pandas matplotlib-base ipykernel`\n", - "3. Run `mamba activate cdat_regression_test`\n", - "4. Update `DEV_PATH` and `PROD_PATH` in the copy of your notebook.\n", - "5. Run all cells IN ORDER.\n", - "6. Review results for any outstanding differences (>= 2%).\n", - " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup Code\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import glob\n", - "import math\n", - "from typing import List\n", - "\n", - "import pandas as pd\n", - "\n", - "# TODO: Update DEV_RESULTS and PROD_RESULTS to your diagnostic sets.\n", - "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", - "PROD_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", - "\n", - "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", - "PROD_GLOB = sorted(glob.glob(PROD_PATH + \"/*.json\"))\n", - "\n", - "# The names of the columns that store percentage difference values.\n", - "PERCENTAGE_COLUMNS = [\n", - " \"test DIFF (%)\",\n", - " \"ref DIFF (%)\",\n", - " \"test_regrid DIFF (%)\",\n", - " \"ref_regrid DIFF (%)\",\n", - " \"diff DIFF (%)\",\n", - " \"misc DIFF (%)\",\n", - "]" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Core Functions\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "def get_metrics(filepaths: List[str]) -> pd.DataFrame:\n", - " \"\"\"Get the metrics using a glob of `.json` metric files in a directory.\n", - "\n", - " Parameters\n", - " ----------\n", - " filepaths : List[str]\n", - " The filepaths for metrics `.json` files.\n", - "\n", - " Returns\n", - " -------\n", - " pd.DataFrame\n", - " The DataFrame containing the metrics for all of the variables in\n", - " the results directory.\n", - " \"\"\"\n", - " metrics = []\n", - "\n", - " for filepath in filepaths:\n", - " df = pd.read_json(filepath)\n", - "\n", - " filename = filepath.split(\"/\")[-1]\n", - " var_key = filename.split(\"-\")[1]\n", - "\n", - " # Add the variable key to the MultiIndex and update the index\n", - " # before stacking to make the DataFrame easier to parse.\n", - " multiindex = pd.MultiIndex.from_product([[var_key], [*df.index]])\n", - " df = df.set_index(multiindex)\n", - " df.stack()\n", - "\n", - " metrics.append(df)\n", - "\n", - " df_final = pd.concat(metrics)\n", - "\n", - " # Reorder columns and drop \"unit\" column (string dtype breaks Pandas\n", - " # arithmetic).\n", - " df_final = df_final[[\"test\", \"ref\", \"test_regrid\", \"ref_regrid\", \"diff\", \"misc\"]]\n", - "\n", - " return df_final\n", - "\n", - "\n", - "def get_rel_diffs(df_actual: pd.DataFrame, df_reference: pd.DataFrame) -> pd.DataFrame:\n", - " \"\"\"Get the relative differences between two DataFrames.\n", - "\n", - " Formula: abs(actual - reference) / abs(actual)\n", - "\n", - " Parameters\n", - " ----------\n", - " df_actual : pd.DataFrame\n", - " The first DataFrame representing \"actual\" results (dev branch).\n", - " df_reference : pd.DataFrame\n", - " The second DataFrame representing \"reference\" results (main branch).\n", - "\n", - " Returns\n", - " -------\n", - " pd.DataFrame\n", - " The DataFrame containing absolute and relative differences between\n", - " the metrics DataFrames.\n", - " \"\"\"\n", - " df_diff = abs(df_actual - df_reference) / abs(df_actual)\n", - " df_diff = df_diff.add_suffix(\" DIFF (%)\")\n", - "\n", - " return df_diff\n", - "\n", - "\n", - "def sort_columns(df: pd.DataFrame) -> pd.DataFrame:\n", - " \"\"\"Sorts the order of the columns for the final DataFrame output.\n", - "\n", - " Parameters\n", - " ----------\n", - " df : pd.DataFrame\n", - " The final DataFrame output.\n", - "\n", - " Returns\n", - " -------\n", - " pd.DataFrame\n", - " The final DataFrame output with sorted columns.\n", - " \"\"\"\n", - " columns = [\n", - " \"test_dev\",\n", - " \"test_prod\",\n", - " \"test DIFF (%)\",\n", - " \"ref_dev\",\n", - " \"ref_prod\",\n", - " \"ref DIFF (%)\",\n", - " \"test_regrid_dev\",\n", - " \"test_regrid_prod\",\n", - " \"test_regrid DIFF (%)\",\n", - " \"ref_regrid_dev\",\n", - " \"ref_regrid_prod\",\n", - " \"ref_regrid DIFF (%)\",\n", - " \"diff_dev\",\n", - " \"diff_prod\",\n", - " \"diff DIFF (%)\",\n", - " \"misc_dev\",\n", - " \"misc_prod\",\n", - " \"misc DIFF (%)\",\n", - " ]\n", - "\n", - " df_new = df.copy()\n", - " df_new = df_new[columns]\n", - "\n", - " return df_new\n", - "\n", - "\n", - "def update_diffs_to_pct(df: pd.DataFrame):\n", - " \"\"\"Update relative diff columns from float to string percentage.\n", - "\n", - " Parameters\n", - " ----------\n", - " df : pd.DataFrame\n", - " The final DataFrame containing metrics and diffs (floats).\n", - "\n", - " Returns\n", - " -------\n", - " pd.DataFrame\n", - " The final DataFrame containing metrics and diffs (str percentage).\n", - " \"\"\"\n", - " df_new = df.copy()\n", - " df_new[PERCENTAGE_COLUMNS] = df_new[PERCENTAGE_COLUMNS].map(\n", - " lambda x: \"{0:.2f}%\".format(x * 100) if not math.isnan(x) else x\n", - " )\n", - "\n", - " return df_new" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Get the DataFrame containing development and production metrics.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "df_metrics_dev = get_metrics(DEV_GLOB)\n", - "df_metrics_prod = get_metrics(PROD_GLOB)\n", - "df_metrics_all = pd.concat(\n", - " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_prod.add_suffix(\"_prod\")],\n", - " axis=1,\n", - " join=\"outer\",\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 2. Get DataFrame for differences >= 2%.\n", - "\n", - "- Get the relative differences for all metrics\n", - "- Filter down metrics to those with differences >= 2%\n", - " - If all cells in a row are NaN (< 2%), the entire row is dropped to make the results easier to parse.\n", - " - Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_prod)\n", - "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", - "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", - " axis=0, how=\"all\", ignore_index=False\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Combine both DataFrames to get the final result.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", - "df_final = sort_columns(df_final)\n", - "df_final = update_diffs_to_pct(df_final)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 4. Display final DataFrame and review results.\n", - "\n", - "- Red cells are differences >= 2%\n", - "- `nan` cells are differences < 2% and **should be ignored**\n" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - 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 var_keymetrictest_devtest_prodtest DIFF (%)ref_devref_prodref DIFF (%)test_regrid_devtest_regrid_prodtest_regrid DIFF (%)ref_regrid_devref_regrid_prodref_regrid DIFF (%)diff_devdiff_proddiff DIFF (%)misc_devmisc_prodmisc DIFF (%)
0FLUTmax299.911864299.355074nan300.162128299.776167nan299.911864299.355074nan300.162128299.776167nan9.4923599.7888093.12%nannannan
1FLUTmin124.610884125.987072nan122.878196124.148986nan124.610884125.987072nan122.878196124.148986nan-15.505809-17.0323259.84%nannannan
2FSNSmax269.789702269.798166nan272.722362272.184917nan269.789702269.798166nan272.722362272.184917nan20.64792924.85985220.40%nannannan
3FSNSmin16.89742317.7608895.11%16.71013416.2370612.83%16.89742317.7608895.11%16.71013416.2370612.83%-28.822277-28.324921nannannannan
4FSNTOAmax360.624327360.209193nan362.188816361.778529nan360.624327360.209193nan362.188816361.778529nan18.60227622.62426621.62%nannannan
5FSNTOAmean239.859777240.001860nan241.439641241.544384nan239.859777240.001860nan241.439641241.544384nan-1.579864-1.5425242.36%nannannan
6FSNTOAmin44.90704148.2568187.46%47.22350250.3396086.60%44.90704148.2568187.46%47.22350250.3396086.60%-23.576184-23.171864nannannannan
7LHFLXmax282.280453289.0799402.41%275.792933276.297281nan282.280453289.0799402.41%275.792933276.297281nan47.53550353.16892411.85%nannannan
8LHFLXmean88.37960988.470270nan88.96955088.976266nan88.37960988.470270nan88.96955088.976266nan-0.589942-0.50599614.23%nannannan
9LHFLXmin-0.878371-0.54924837.47%-1.176561-0.94611019.59%-0.878371-0.54924837.47%-1.176561-0.94611019.59%-34.375924-33.902769nannannannan
10LWCFmax78.49365377.473220nan86.12195984.993825nan78.49365377.473220nan86.12195984.993825nan9.61605710.79610412.27%nannannan
11LWCFmean24.37322424.370539nan24.40669724.391579nan24.37322424.370539nan24.40669724.391579nan-0.033473-0.02104037.14%nannannan
12LWCFmin-0.667812-0.6171077.59%-1.360010-1.18178713.10%-0.667812-0.6171077.59%-1.360010-1.18178713.10%-10.574643-10.1451884.06%nannannan
13NETCFmax13.22460412.6218254.56%13.71543813.2327163.52%13.22460412.6218254.56%13.71543813.2327163.52%10.89934410.2848255.64%nannannan
14NETCFmin-66.633044-66.008633nan-64.832041-67.3980473.96%-66.633044-66.008633nan-64.832041-67.3980473.96%-17.923932-17.940099nannannannan
15NET_FLUX_SRFmax155.691338156.424180nan166.556120166.506173nan155.691338156.424180nan166.556120166.506173nan59.81944961.6728243.10%nannannan
16NET_FLUX_SRFmean0.3940160.51633031.04%-0.0681860.068584200.58%0.3940160.51633031.04%-0.0681860.068584200.58%0.4622020.4477463.13%nannannan
17NET_FLUX_SRFmin-284.505205-299.5050245.27%-280.893287-290.2029343.31%-284.505205-299.5050245.27%-280.893287-290.2029343.31%-75.857589-85.85208913.18%nannannan
18PRECTmax17.28995117.071276nan20.26486220.138274nan17.28995117.071276nan20.26486220.138274nan2.3441112.4066252.67%nannannan
19PRECTmean3.0538023.056760nan3.0748853.074978nan3.0538023.056760nan3.0748853.074978nan-0.021083-0.01821813.59%nannannan
20PSLmin970.981710971.390765nan973.198437973.235326nan970.981710971.390765nan973.198437973.235326nan-6.328677-6.1046103.54%nannannan
21PSLrmsenannannannannannannannannannannannannannannan1.0428840.9799816.03%
22RESTOMmax84.29550283.821906nan87.70794487.451262nan84.29550283.821906nan87.70794487.451262nan17.39628321.42361623.15%nannannan
23RESTOMmean0.4815490.65656036.34%0.0180410.162984803.40%0.4815490.65656036.34%0.0180410.162984803.40%0.4635080.4935766.49%nannannan
24RESTOMmin-127.667181-129.014673nan-127.417586-128.673508nan-127.667181-129.014673nan-127.417586-128.673508nan-15.226249-14.8696142.34%nannannan
25SHFLXmax114.036895112.859646nan116.870038116.432591nan114.036895112.859646nan116.870038116.432591nan28.32065627.5567552.70%nannannan
26SHFLXmin-88.650312-88.386947nan-85.809438-85.480377nan-88.650312-88.386947nan-85.809438-85.480377nan-27.776625-28.3630532.11%nannannan
27SSTmin-1.788055-1.788055nan-1.676941-1.676941nan-1.788055-1.788055nan-1.676941-1.676941nan-4.513070-2.99327233.68%nannannan
28SWCFmax-0.518025-0.5368443.63%-0.311639-0.3316166.41%-0.518025-0.5368443.63%-0.311639-0.3316166.41%11.66893912.0870773.58%nannannan
29SWCFmin-123.625017-122.042043nan-131.053537-130.430161nan-123.625017-122.042043nan-131.053537-130.430161nan-21.415249-20.8089732.83%nannannan
30TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.9817575.1261852.90%nannannan
31TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.8678555.1261852.90%nannannan
32TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.9817575.1261855.31%nannannan
33TREFHTmax31.14150831.058424nan29.81921029.721868nan31.14150831.058424nan29.81921029.721868nan4.8678555.1261855.31%nannannan
34TREFHTmean14.76994614.741707nan13.84201313.800258nan14.76994614.741707nan13.84201313.800258nan0.9279330.9414492.28%nannannan
35TREFHTmean9.2142249.114572nan8.0833497.957917nan9.2142249.114572nan8.0833497.957917nan1.1308761.1566552.28%nannannan
36TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
37TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
38TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
39TREFHTmin-56.266677-55.623001nan-58.159250-57.542053nan-56.266677-55.623001nan-58.159250-57.542053nan-0.681558-0.6243718.39%nannannan
40TREFHTrmsenannannannannannannannannannannannannannannan1.1607181.1799952.68%
41TREFHTrmsenannannannannannannannannannannannannannannan1.3431691.3791412.68%
\n" - ], - "text/plain": [ - "" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "df_final.reset_index(names=[\"var_key\", \"metric\"]).style.map(\n", - " lambda x: \"background-color : red\" if isinstance(x, str) else \"\",\n", - " subset=pd.IndexSlice[:, PERCENTAGE_COLUMNS],\n", - ")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "cdat_regression_test", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.6" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} From bb52037c7a47f77966f386dd5ac1998d993728b5 Mon Sep 17 00:00:00 2001 From: tomvothecoder Date: Tue, 5 Dec 2023 09:56:44 -0800 Subject: [PATCH 03/41] Update regression test notebook to show validation of all vars --- .../12-4-23-qa-no-cdms-slice.ipynb | 811 ++++++++++++++---- 1 file changed, 651 insertions(+), 160 deletions(-) diff --git a/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb b/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb index 7f53b053c..7a8d8ebae 100644 --- a/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb +++ b/auxiliary_tools/cdat_regression_testing/671-lat-lon/12-4-23-qa-no-cdms-slice.ipynb @@ -20,26 +20,19 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ + "import pandas as pd\n", + "\n", "import glob\n", - "from auxiliary_tools.cdat_regression_testing.utils import (\n", - " get_metrics,\n", - " get_rel_diffs,\n", - " get_num_metrics_above_diff_thres,\n", - " highlight_large_diffs,\n", - " sort_columns,\n", - " update_diffs_to_pct,\n", - " PERCENTAGE_COLUMNS,\n", - ")\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_metrics, get_rel_diffs\n", "\n", - "import pandas as pd\n", "\n", "# TODO: Update DEV_RESULTS and MAIN_RESULTS to your diagnostic sets.\n", "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", - "MAIN_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_main_no_slice/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "MAIN_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_main_w_slice/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", "\n", "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))" @@ -54,26 +47,19 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "df_metrics_dev = get_metrics(DEV_GLOB)\n", "df_metrics_main = get_metrics(MAIN_GLOB)\n", "\n", - "df_metrics_dev2 = df_metrics_dev.reset_index(names=[\"var_key\", \"metric\"])\n", - "df_metrics_dev2 = df_metrics_dev2.loc[\n", - " df_metrics_dev2.var_key.isin(df_metrics_main.index.get_level_values(0).unique())\n", - "]\n", - "df_metrics_dev2 = df_metrics_dev2.set_index([\"var_key\", \"metric\"])\n", - "\n", - "\n", - "df_metrics_diffs = get_rel_diffs(df_metrics_dev2, df_metrics_main)" + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" ] }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -105,19 +91,229 @@ " diff DIFF (%)\n", " misc DIFF (%)\n", " \n", - " \n", - " var_key\n", - " metric\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", + " FLNS\n", + " min\n", + " 1.317678e-16\n", + " 0.000000e+00\n", + " 1.317678e-16\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 0.000000e+00\n", + " 2.058062e-16\n", + " 0.000000e+00\n", + " 2.058062e-16\n", + " 7.203322e-16\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 5.322645e-16\n", + " 1.276503e-15\n", + " 5.322645e-16\n", + " 1.276503e-15\n", + " 1.764203e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 5.455412e-16\n", + " 5.344197e-16\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " FLUT\n", + " min\n", + " 1.140418e-16\n", + " 0.000000e+00\n", + " 1.140418e-16\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 0.000000e+00\n", + " 1.893757e-16\n", + " 0.000000e+00\n", + " 1.893757e-16\n", + " 0.000000e+00\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 1.779953e-15\n", + " 1.764910e-15\n", + " 1.779953e-15\n", + " 1.764910e-15\n", + " 1.522792e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 2.315874e-16\n", + " 4.524283e-16\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 2.566283e-16\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " FSNS\n", + " min\n", + " 2.102518e-16\n", + " 4.252167e-16\n", + " 2.102518e-16\n", + " 4.252167e-16\n", + " 9.861022e-16\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 0.000000e+00\n", + " 2.084296e-16\n", + " 0.000000e+00\n", + " 2.084296e-16\n", + " 3.441230e-16\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 2.107767e-15\n", + " 1.718080e-15\n", + " 2.107767e-15\n", + " 1.718080e-15\n", + " 1.350994e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 7.842697e-16\n", + " 2.191950e-16\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " FSNTOA\n", + " min\n", + " 1.582252e-16\n", + " 0.000000e+00\n", + " 1.582252e-16\n", + " 0.000000e+00\n", + " 1.205526e-15\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 0.000000e+00\n", + " 1.569442e-16\n", + " 0.000000e+00\n", + " 1.569442e-16\n", + " 1.527862e-15\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 8.294511e-16\n", + " 9.417413e-16\n", + " 8.294511e-16\n", + " 9.417413e-16\n", + " 1.405466e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 5.299557e-16\n", + " 5.265197e-16\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 4.077330e-16\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", " LHFLX\n", " min\n", " 0.000000e+00\n", @@ -228,6 +424,61 @@ " 0.000000e+00\n", " \n", " \n", + " NETCF\n", + " min\n", + " 0.000000e+00\n", + " 4.383899e-16\n", + " 0.000000e+00\n", + " 4.383899e-16\n", + " 1.387474e-15\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 1.343221e-16\n", + " 1.295151e-16\n", + " 1.343221e-16\n", + " 1.295151e-16\n", + " 6.519133e-16\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 1.456918e-15\n", + " 1.248197e-15\n", + " 1.456918e-15\n", + " 1.248197e-15\n", + " 1.374967e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 7.334371e-16\n", + " 2.520113e-16\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", " NET_FLUX_SRF\n", " min\n", " 0.000000e+00\n", @@ -448,6 +699,171 @@ " 0.000000e+00\n", " \n", " \n", + " SHFLX\n", + " min\n", + " 1.603024e-16\n", + " 1.656095e-16\n", + " 1.603024e-16\n", + " 1.656095e-16\n", + " 8.953210e-16\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 3.738489e-16\n", + " 0.000000e+00\n", + " 3.738489e-16\n", + " 0.000000e+00\n", + " 2.508920e-16\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 1.323527e-15\n", + " 5.334326e-16\n", + " 1.323527e-15\n", + " 5.334326e-16\n", + " 1.492293e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 2.004639e-16\n", + " 3.888756e-16\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " SST\n", + " min\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 3.503644e-16\n", + " 3.599884e-16\n", + " 3.503644e-16\n", + " 3.599884e-16\n", + " 0.000000e+00\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 5.260736e-15\n", + " 6.503600e-15\n", + " 5.260736e-15\n", + " 6.503600e-15\n", + " 5.172344e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 2.687098e-15\n", + " 3.161237e-15\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " SWCF\n", + " min\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 1.658964e-16\n", + " NaN\n", + " \n", + " \n", + " max\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 0.000000e+00\n", + " 3.653508e-15\n", + " NaN\n", + " \n", + " \n", + " mean\n", + " 1.311547e-15\n", + " 1.656736e-15\n", + " 1.311547e-15\n", + " 1.656736e-15\n", + " 1.404070e-15\n", + " NaN\n", + " \n", + " \n", + " std\n", + " NaN\n", + " NaN\n", + " 1.689694e-16\n", + " 0.000000e+00\n", + " NaN\n", + " NaN\n", + " \n", + " \n", + " rmse\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", + " corr\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " NaN\n", + " 0.000000e+00\n", + " \n", + " \n", " TREFHT\n", " min\n", " 2.525625e-16\n", @@ -561,115 +977,210 @@ "" ], "text/plain": [ - " test DIFF (%) ref DIFF (%) test_regrid DIFF (%) \\\n", - "var_key metric \n", - "LHFLX min 0.000000e+00 0.000000e+00 0.000000e+00 \n", - " max 0.000000e+00 2.061090e-16 0.000000e+00 \n", - " mean 1.607934e-15 1.118090e-15 1.607934e-15 \n", - " std NaN NaN 5.414602e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - "LWCF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", - " max 0.000000e+00 3.300170e-16 0.000000e+00 \n", - " mean 1.894919e-15 1.310068e-15 1.894919e-15 \n", - " std NaN NaN 6.638807e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - "NET_FLUX_SRF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", - " max 1.825516e-16 1.706434e-16 1.825516e-16 \n", - " mean 2.535940e-15 1.465413e-14 2.535940e-15 \n", - " std NaN NaN 3.531975e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - "PRECT min 0.000000e+00 0.000000e+00 0.000000e+00 \n", - " max 2.054785e-16 3.506280e-16 2.054785e-16 \n", - " mean 1.308796e-15 1.010973e-15 1.308796e-15 \n", - " std NaN NaN 4.107430e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - "PSL min 0.000000e+00 1.168177e-16 0.000000e+00 \n", - " max 2.216200e-16 0.000000e+00 2.216200e-16 \n", - " mean 1.124213e-15 1.236728e-15 1.124213e-15 \n", - " std NaN NaN 5.030916e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - "RESTOM min 2.226235e-16 0.000000e+00 2.226235e-16 \n", - " max 0.000000e+00 1.620247e-16 0.000000e+00 \n", - " mean 6.224919e-15 1.107688e-13 6.224919e-15 \n", - " std NaN NaN 3.940225e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - "TREFHT min 2.525625e-16 1.221719e-16 2.525625e-16 \n", - " max 1.140829e-16 1.191418e-16 1.140829e-16 \n", - " mean 1.443220e-15 1.026647e-15 1.443220e-15 \n", - " std NaN NaN 3.950659e-16 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", - " min 2.525625e-16 1.221719e-16 2.525625e-16 \n", - " max 1.140829e-16 1.191418e-16 1.140829e-16 \n", - " mean 9.253642e-15 8.350693e-15 9.253642e-15 \n", - " std NaN NaN 4.922302e-15 \n", - " rmse NaN NaN NaN \n", - " corr NaN NaN NaN \n", + " test DIFF (%) ref DIFF (%) test_regrid DIFF (%) \\\n", + "FLNS min 1.317678e-16 0.000000e+00 1.317678e-16 \n", + " max 0.000000e+00 2.058062e-16 0.000000e+00 \n", + " mean 5.322645e-16 1.276503e-15 5.322645e-16 \n", + " std NaN NaN 5.455412e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "FLUT min 1.140418e-16 0.000000e+00 1.140418e-16 \n", + " max 0.000000e+00 1.893757e-16 0.000000e+00 \n", + " mean 1.779953e-15 1.764910e-15 1.779953e-15 \n", + " std NaN NaN 2.315874e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "FSNS min 2.102518e-16 4.252167e-16 2.102518e-16 \n", + " max 0.000000e+00 2.084296e-16 0.000000e+00 \n", + " mean 2.107767e-15 1.718080e-15 2.107767e-15 \n", + " std NaN NaN 7.842697e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "FSNTOA min 1.582252e-16 0.000000e+00 1.582252e-16 \n", + " max 0.000000e+00 1.569442e-16 0.000000e+00 \n", + " mean 8.294511e-16 9.417413e-16 8.294511e-16 \n", + " std NaN NaN 5.299557e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "LHFLX min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 0.000000e+00 2.061090e-16 0.000000e+00 \n", + " mean 1.607934e-15 1.118090e-15 1.607934e-15 \n", + " std NaN NaN 5.414602e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "LWCF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 0.000000e+00 3.300170e-16 0.000000e+00 \n", + " mean 1.894919e-15 1.310068e-15 1.894919e-15 \n", + " std NaN NaN 6.638807e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "NETCF min 0.000000e+00 4.383899e-16 0.000000e+00 \n", + " max 1.343221e-16 1.295151e-16 1.343221e-16 \n", + " mean 1.456918e-15 1.248197e-15 1.456918e-15 \n", + " std NaN NaN 7.334371e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "NET_FLUX_SRF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 1.825516e-16 1.706434e-16 1.825516e-16 \n", + " mean 2.535940e-15 1.465413e-14 2.535940e-15 \n", + " std NaN NaN 3.531975e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "PRECT min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 2.054785e-16 3.506280e-16 2.054785e-16 \n", + " mean 1.308796e-15 1.010973e-15 1.308796e-15 \n", + " std NaN NaN 4.107430e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "PSL min 0.000000e+00 1.168177e-16 0.000000e+00 \n", + " max 2.216200e-16 0.000000e+00 2.216200e-16 \n", + " mean 1.124213e-15 1.236728e-15 1.124213e-15 \n", + " std NaN NaN 5.030916e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "RESTOM min 2.226235e-16 0.000000e+00 2.226235e-16 \n", + " max 0.000000e+00 1.620247e-16 0.000000e+00 \n", + " mean 6.224919e-15 1.107688e-13 6.224919e-15 \n", + " std NaN NaN 3.940225e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "SHFLX min 1.603024e-16 1.656095e-16 1.603024e-16 \n", + " max 3.738489e-16 0.000000e+00 3.738489e-16 \n", + " mean 1.323527e-15 5.334326e-16 1.323527e-15 \n", + " std NaN NaN 2.004639e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "SST min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 3.503644e-16 3.599884e-16 3.503644e-16 \n", + " mean 5.260736e-15 6.503600e-15 5.260736e-15 \n", + " std NaN NaN 2.687098e-15 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "SWCF min 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " max 0.000000e+00 0.000000e+00 0.000000e+00 \n", + " mean 1.311547e-15 1.656736e-15 1.311547e-15 \n", + " std NaN NaN 1.689694e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + "TREFHT min 2.525625e-16 1.221719e-16 2.525625e-16 \n", + " max 1.140829e-16 1.191418e-16 1.140829e-16 \n", + " mean 1.443220e-15 1.026647e-15 1.443220e-15 \n", + " std NaN NaN 3.950659e-16 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", + " min 2.525625e-16 1.221719e-16 2.525625e-16 \n", + " max 1.140829e-16 1.191418e-16 1.140829e-16 \n", + " mean 9.253642e-15 8.350693e-15 9.253642e-15 \n", + " std NaN NaN 4.922302e-15 \n", + " rmse NaN NaN NaN \n", + " corr NaN NaN NaN \n", "\n", - " ref_regrid DIFF (%) diff DIFF (%) misc DIFF (%) \n", - "var_key metric \n", - "LHFLX min 0.000000e+00 2.066978e-16 NaN \n", - " max 2.061090e-16 0.000000e+00 NaN \n", - " mean 1.118090e-15 1.693728e-15 NaN \n", - " std 5.367577e-16 NaN NaN \n", - " rmse NaN NaN 0.000000e+00 \n", - " corr NaN NaN 0.000000e+00 \n", - "LWCF min 0.000000e+00 1.343861e-15 NaN \n", - " max 3.300170e-16 0.000000e+00 NaN \n", - " mean 1.310068e-15 2.985093e-14 NaN \n", - " std 1.639685e-16 NaN NaN \n", - " rmse NaN NaN 0.000000e+00 \n", - " corr NaN NaN 0.000000e+00 \n", - "NET_FLUX_SRF min 0.000000e+00 1.873360e-16 NaN \n", - " max 1.706434e-16 0.000000e+00 NaN \n", - " mean 1.465413e-14 2.161829e-15 NaN \n", - " std 4.735973e-16 NaN NaN \n", - " rmse NaN NaN 0.000000e+00 \n", - " corr NaN NaN 0.000000e+00 \n", - "PRECT min 0.000000e+00 0.000000e+00 NaN \n", - " max 3.506280e-16 5.683466e-16 NaN \n", - " mean 1.010973e-15 0.000000e+00 NaN \n", - " std 4.058335e-16 NaN NaN \n", - " rmse NaN NaN 0.000000e+00 \n", - " corr NaN NaN 0.000000e+00 \n", - "PSL min 1.168177e-16 3.592752e-14 NaN \n", - " max 0.000000e+00 3.973074e-14 NaN \n", - " mean 1.236728e-15 1.300318e-14 NaN \n", - " std 3.531204e-16 NaN NaN \n", - " rmse NaN NaN 1.064570e-15 \n", - " corr NaN NaN 0.000000e+00 \n", - "RESTOM min 0.000000e+00 4.666565e-16 NaN \n", - " max 1.620247e-16 8.168903e-16 NaN \n", - " mean 1.107688e-13 2.155737e-15 NaN \n", - " std 3.955053e-16 NaN NaN \n", - " rmse NaN NaN 2.985625e-16 \n", - " corr NaN NaN 0.000000e+00 \n", - "TREFHT min 1.221719e-16 1.466053e-15 NaN \n", - " max 1.191418e-16 3.565723e-16 NaN \n", - " mean 1.026647e-15 1.076803e-15 NaN \n", - " std 5.141888e-16 NaN NaN \n", - " rmse NaN NaN 0.000000e+00 \n", - " corr NaN NaN 0.000000e+00 \n", - " min 1.221719e-16 1.466053e-15 NaN \n", - " max 1.191418e-16 7.298314e-16 NaN \n", - " mean 8.350693e-15 9.621027e-15 NaN \n", - " std 4.475437e-15 NaN NaN \n", - " rmse NaN NaN 0.000000e+00 \n", - " corr NaN NaN 0.000000e+00 " + " ref_regrid DIFF (%) diff DIFF (%) misc DIFF (%) \n", + "FLNS min 0.000000e+00 0.000000e+00 NaN \n", + " max 2.058062e-16 7.203322e-16 NaN \n", + " mean 1.276503e-15 1.764203e-15 NaN \n", + " std 5.344197e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "FLUT min 0.000000e+00 0.000000e+00 NaN \n", + " max 1.893757e-16 0.000000e+00 NaN \n", + " mean 1.764910e-15 1.522792e-15 NaN \n", + " std 4.524283e-16 NaN NaN \n", + " rmse NaN NaN 2.566283e-16 \n", + " corr NaN NaN 0.000000e+00 \n", + "FSNS min 4.252167e-16 9.861022e-16 NaN \n", + " max 2.084296e-16 3.441230e-16 NaN \n", + " mean 1.718080e-15 1.350994e-15 NaN \n", + " std 2.191950e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "FSNTOA min 0.000000e+00 1.205526e-15 NaN \n", + " max 1.569442e-16 1.527862e-15 NaN \n", + " mean 9.417413e-16 1.405466e-15 NaN \n", + " std 5.265197e-16 NaN NaN \n", + " rmse NaN NaN 4.077330e-16 \n", + " corr NaN NaN 0.000000e+00 \n", + "LHFLX min 0.000000e+00 2.066978e-16 NaN \n", + " max 2.061090e-16 0.000000e+00 NaN \n", + " mean 1.118090e-15 1.693728e-15 NaN \n", + " std 5.367577e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "LWCF min 0.000000e+00 1.343861e-15 NaN \n", + " max 3.300170e-16 0.000000e+00 NaN \n", + " mean 1.310068e-15 2.985093e-14 NaN \n", + " std 1.639685e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "NETCF min 4.383899e-16 1.387474e-15 NaN \n", + " max 1.295151e-16 6.519133e-16 NaN \n", + " mean 1.248197e-15 1.374967e-15 NaN \n", + " std 2.520113e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "NET_FLUX_SRF min 0.000000e+00 1.873360e-16 NaN \n", + " max 1.706434e-16 0.000000e+00 NaN \n", + " mean 1.465413e-14 2.161829e-15 NaN \n", + " std 4.735973e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "PRECT min 0.000000e+00 0.000000e+00 NaN \n", + " max 3.506280e-16 5.683466e-16 NaN \n", + " mean 1.010973e-15 0.000000e+00 NaN \n", + " std 4.058335e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "PSL min 1.168177e-16 3.592752e-14 NaN \n", + " max 0.000000e+00 3.973074e-14 NaN \n", + " mean 1.236728e-15 1.300318e-14 NaN \n", + " std 3.531204e-16 NaN NaN \n", + " rmse NaN NaN 1.064570e-15 \n", + " corr NaN NaN 0.000000e+00 \n", + "RESTOM min 0.000000e+00 4.666565e-16 NaN \n", + " max 1.620247e-16 8.168903e-16 NaN \n", + " mean 1.107688e-13 2.155737e-15 NaN \n", + " std 3.955053e-16 NaN NaN \n", + " rmse NaN NaN 2.985625e-16 \n", + " corr NaN NaN 0.000000e+00 \n", + "SHFLX min 1.656095e-16 8.953210e-16 NaN \n", + " max 0.000000e+00 2.508920e-16 NaN \n", + " mean 5.334326e-16 1.492293e-15 NaN \n", + " std 3.888756e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "SST min 0.000000e+00 0.000000e+00 NaN \n", + " max 3.599884e-16 0.000000e+00 NaN \n", + " mean 6.503600e-15 5.172344e-15 NaN \n", + " std 3.161237e-15 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "SWCF min 0.000000e+00 1.658964e-16 NaN \n", + " max 0.000000e+00 3.653508e-15 NaN \n", + " mean 1.656736e-15 1.404070e-15 NaN \n", + " std 0.000000e+00 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + "TREFHT min 1.221719e-16 1.466053e-15 NaN \n", + " max 1.191418e-16 3.565723e-16 NaN \n", + " mean 1.026647e-15 1.076803e-15 NaN \n", + " std 5.141888e-16 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 \n", + " min 1.221719e-16 1.466053e-15 NaN \n", + " max 1.191418e-16 7.298314e-16 NaN \n", + " mean 8.350693e-15 9.621027e-15 NaN \n", + " std 4.475437e-15 NaN NaN \n", + " rmse NaN NaN 0.000000e+00 \n", + " corr NaN NaN 0.000000e+00 " ] }, - "execution_count": 51, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ + "pd.set_option(\"display.max_rows\", None)\n", "df_metrics_diffs" ] }, @@ -677,21 +1188,16 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Filter differences to those above maximum threshold (2%).\n", - "\n", - "All values below maximum threshold will be labeled as `NaN`.\n", - "\n", - "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", - "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + "## 2. Filter differences to those above maximum threshold (1e-10 | 1e-8%).\n" ] }, { "cell_type": "code", - "execution_count": 56, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ - "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 1e-10]\n", "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", " axis=0, how=\"all\", ignore_index=False\n", ")" @@ -699,7 +1205,7 @@ }, { "cell_type": "code", - "execution_count": 57, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -731,16 +1237,6 @@ " diff DIFF (%)\n", " misc DIFF (%)\n", " \n", - " \n", - " var_key\n", - " metric\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", " \n", " \n", " \n", @@ -753,7 +1249,7 @@ "Index: []" ] }, - "execution_count": 57, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -766,14 +1262,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Findings: No metrics are above the 2% threshold after removing the `slice_flag` used in\n", - "the CDAT version of the codebase.\n" + "Findings: No metrics are above the 1e-10 (1e-8%) threshold after removing the `slice_flag` used in\n", + "the CDAT version of the codebase. Results are virtually identical now.\n" ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [] } ], "metadata": { From b40d57e5f3e74e548950f0e7f7158c17c4fdbbfb Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 8 Jan 2024 15:26:57 -0800 Subject: [PATCH 04/41] Add `subset_and_align_datasets()` to regrid.py (#776) --- e3sm_diags/driver/lat_lon_driver.py | 117 ++++-------------- e3sm_diags/driver/utils/dataset_xr.py | 28 +++-- e3sm_diags/driver/utils/io.py | 16 ++- e3sm_diags/driver/utils/regrid.py | 81 +++++++++++- e3sm_diags/parameter/core_parameter.py | 4 +- e3sm_diags/plot/utils.py | 8 +- .../driver/utils/test_dataset_xr.py | 63 +++++----- 7 files changed, 177 insertions(+), 140 deletions(-) diff --git a/e3sm_diags/driver/lat_lon_driver.py b/e3sm_diags/driver/lat_lon_driver.py index bea50fb94..3961be59e 100755 --- a/e3sm_diags/driver/lat_lon_driver.py +++ b/e3sm_diags/driver/lat_lon_driver.py @@ -1,18 +1,16 @@ from __future__ import annotations -from typing import TYPE_CHECKING, List, Tuple +from typing import TYPE_CHECKING, List import xarray as xr from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots from e3sm_diags.driver.utils.regrid import ( - _apply_land_sea_mask, - _subset_on_region, - align_grids_to_lower_res, get_z_axis, has_z_axis, regrid_z_axis_to_plevs, + subset_and_align_datasets, ) from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger @@ -151,11 +149,12 @@ def _run_diags_2d( parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) ( - metrics_dict, ds_test_region, + ds_test_region_regrid, ds_ref_region, + ds_ref_region_regrid, ds_diff_region, - ) = _get_metrics_by_region( + ) = subset_and_align_datasets( parameter, ds_test, ds_ref, @@ -163,6 +162,16 @@ def _run_diags_2d( var_key, region, ) + + metrics_dict = _create_metrics_dict( + var_key, + ds_test_region, + ds_test_region_regrid, + ds_ref_region, + ds_ref_region_regrid, + ds_diff_region, + ) + _save_data_metrics_and_plots( parameter, plot_func, @@ -223,11 +232,12 @@ def _run_diags_3d( for region in regions: ( - metrics_dict, ds_test_region, + ds_test_region_regrid, ds_ref_region, + ds_ref_region_regrid, ds_diff_region, - ) = _get_metrics_by_region( + ) = subset_and_align_datasets( parameter, ds_test_ilev, ds_ref_ilev, @@ -236,6 +246,15 @@ def _run_diags_3d( region, ) + metrics_dict = _create_metrics_dict( + var_key, + ds_test_region, + ds_test_region_regrid, + ds_ref_region, + ds_ref_region_regrid, + ds_diff_region, + ) + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) _save_data_metrics_and_plots( parameter, @@ -248,88 +267,6 @@ def _run_diags_3d( ) -def _get_metrics_by_region( - parameter: CoreParameter, - ds_test: xr.Dataset, - ds_ref: xr.Dataset, - ds_land_sea_mask: xr.Dataset, - var_key: str, - region: str, -) -> Tuple[MetricsDict, xr.Dataset, xr.Dataset | None, xr.Dataset | None]: - """Get metrics by region and save data (optional), metrics, and plots - - Parameters - ---------- - parameter : CoreParameter - The parameter for the diagnostic. - ds_test : xr.Dataset - The dataset containing the test variable. - ds_ref : xr.Dataset - The dataset containing the ref variable. If this is a model-only run - then it will be the same dataset as ``ds_test``. - ds_land_sea_mask : xr.Dataset - The land sea mask dataset, which is only used for masking if the region - is "land" or "ocean". - var_key : str - The key of the variable. - region : str - The region. - - Returns - ------- - Tuple[MetricsDict, xr.Dataset, xr.Dataset | None, xr.Dataset | None] - A tuple containing the metrics dictionary, the test dataset, the ref - dataset (optional), and the diffs dataset (optional). - """ - logger.info(f"Selected region: {region}") - parameter.var_region = region - - # Apply a land sea mask or subset on a specific region. - if region == "land" or region == "ocean": - ds_test = _apply_land_sea_mask( - ds_test, - ds_land_sea_mask, - var_key, - region, # type: ignore - parameter.regrid_tool, - parameter.regrid_method, - ) - ds_ref = _apply_land_sea_mask( - ds_ref, - ds_land_sea_mask, - var_key, - region, # type: ignore - parameter.regrid_tool, - parameter.regrid_method, - ) - elif region != "global": - ds_test = _subset_on_region(ds_test, var_key, region) - ds_ref = _subset_on_region(ds_ref, var_key, region) - - # Align the grid resolutions if the diagnostic is not model only. - if not parameter.model_only: - ds_test_regrid, ds_ref_regrid = align_grids_to_lower_res( - ds_test, - ds_ref, - var_key, - parameter.regrid_tool, - parameter.regrid_method, - ) - ds_diff = ds_test_regrid.copy() - ds_diff[var_key] = ds_test_regrid[var_key] - ds_ref_regrid[var_key] - else: - ds_test_regrid = ds_test - ds_ref = None # type: ignore - ds_ref_regrid = None - ds_diff = None - - metrics_dict = _create_metrics_dict( - var_key, ds_test, ds_test_regrid, ds_ref, ds_ref_regrid, ds_diff - ) - - return metrics_dict, ds_test, ds_ref, ds_diff - - def _create_metrics_dict( var_key: str, ds_test: xr.Dataset, diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 251e56c49..e77ad938a 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -643,7 +643,7 @@ def _get_matching_climo_src_vars( return {tuple(var_list): target_variable_map[var_tuple]} raise IOError( - f"The dataset file has no matching souce variables for {target_var}" + f"The dataset file has no matching source variables for {target_var}" ) # -------------------------------------------------------------------------- @@ -825,16 +825,16 @@ def _get_time_series_dataset_obj(self, var) -> xr.Dataset: xr.Dataset The dataset for the variable. """ - filename = self._get_timeseries_filepath(self.root_path, var) + filepath = self._get_timeseries_filepath(self.root_path, var) - if filename == "": + if filepath == "": raise IOError( f"No time series `.nc` file was found for '{var}' in '{self.root_path}'" ) - time_slice = self._get_time_slice(filename) + time_slice = self._get_time_slice(filepath) - ds = xr.open_dataset(filename, decode_times=True, use_cftime=True) + ds = xr.open_dataset(filepath, decode_times=True, use_cftime=True) ds_subset = ds.sel(time=time_slice).squeeze() return ds_subset @@ -1043,18 +1043,26 @@ def _squeeze_time_dim(self, ds: xr.Dataset) -> xr.Dataset: """Squeeze single coordinate climatology time dimensions. For example, "ANN" averages over the year and collapses the time dim. + Time bounds are also dropped if they exist. + Parameters ---------- ds : xr.Dataset - _description_ + The dataset with a time dimension Returns ------- xr.Dataset - _description_ + The dataset with a time dimension. """ - dim = xc.get_dim_keys(ds[self.var], axis="T") - ds = ds.squeeze(dim=dim) - ds = ds.drop_vars(dim) + time_dim = xc.get_dim_coords(ds, axis="T") + + if len(time_dim) == 1: + ds = ds.squeeze(dim=time_dim.name) + ds = ds.drop_vars(time_dim.name) + + bnds_key = time_dim.attrs.get("bounds") + if bnds_key is not None and bnds_key in ds.data_vars.keys(): + ds = ds.drop_vars(bnds_key) return ds diff --git a/e3sm_diags/driver/utils/io.py b/e3sm_diags/driver/utils/io.py index 09e4794da..9b559a065 100644 --- a/e3sm_diags/driver/utils/io.py +++ b/e3sm_diags/driver/utils/io.py @@ -41,8 +41,10 @@ def _save_data_metrics_and_plots( ds_diff : xr.Dataset | None The optional difference dataset. If the diagnostic is a model-only run, then it will be None. - metrics_dict : Metrics - The dictionary containing metrics for the variable. + metrics_dict : Metrics | None + The optional dictionary containing metrics for the variable. Some sets + such as cosp_histogram only calculate spatial average and do not + use ``metrics_dict``. """ if parameter.save_netcdf: _write_vars_to_netcdf( @@ -68,13 +70,17 @@ def _save_data_metrics_and_plots( "long_name", "No long_name attr in test data" ) - plot_func( + # Get the function arguments and pass to the set's plotting function. + args = [ parameter, ds_test[var_key], ds_ref[var_key] if ds_ref is not None else None, ds_diff[var_key] if ds_diff is not None else None, - metrics_dict, - ) + ] + if metrics_dict is not None: + args = args + [metrics_dict] + + plot_func(*args) def _write_vars_to_netcdf( diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index e61476e95..0d8f39372 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -1,12 +1,19 @@ from __future__ import annotations -from typing import List, Literal, Tuple +from typing import TYPE_CHECKING, List, Literal, Tuple import xarray as xr import xcdat as xc from e3sm_diags.derivations.default_regions_xr import REGION_SPECS from e3sm_diags.driver import MASK_REGION_TO_VAR_KEY +from e3sm_diags.logger import custom_logger + +if TYPE_CHECKING: + from e3sm_diags.parameter.core_parameter import CoreParameter + +logger = custom_logger(__name__) + # Valid hybrid-sigma levels keys that can be found in datasets. HYBRID_SIGMA_KEYS = { @@ -19,6 +26,78 @@ REGRID_TOOLS = Literal["esmf", "xesmf", "regrid2"] +def subset_and_align_datasets( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + var_key: str, + region: str, +) -> Tuple[xr.Dataset, xr.Dataset, xr.Dataset, xr.Dataset, xr.Dataset]: + """Subset ref and test datasets on a region and regrid to align them. + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + var_key : str + The key of the variable. + region : str + The region. + + Returns + ------- + Tuple[xr.Dataset, xr.Dataset, xr.Dataset, xr.Dataset, xr.Dataset] + A tuple containing the test dataset, the regridded test + dataset, the ref dataset, the regridded ref dataset, and the difference + between regridded datasets. + """ + logger.info(f"Selected region: {region}") + parameter.var_region = region + + # Apply a land sea mask or subset on a specific region. + if region == "land" or region == "ocean": + ds_test = _apply_land_sea_mask( + ds_test, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + ds_ref = _apply_land_sea_mask( + ds_ref, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + elif region != "global": + ds_test = _subset_on_region(ds_test, var_key, region) + ds_ref = _subset_on_region(ds_ref, var_key, region) + + ds_test_regrid, ds_ref_regrid = align_grids_to_lower_res( + ds_test, + ds_ref, + var_key, + parameter.regrid_tool, + parameter.regrid_method, + ) + + ds_diff = ds_test_regrid.copy() + ds_diff[var_key] = ds_test_regrid[var_key] - ds_ref_regrid[var_key] + + return ds_test, ds_test_regrid, ds_ref, ds_ref_regrid, ds_diff + + def has_z_axis(data_var: xr.DataArray) -> bool: """Checks whether the data variable has a Z axis. diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index 961a050c6..7b0da9e2c 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -3,7 +3,7 @@ import copy import importlib import sys -from typing import TYPE_CHECKING, Any, Dict, List +from typing import TYPE_CHECKING, Any, Dict, List, Tuple from e3sm_diags.derivations.derivations import DerivedVariablesMap from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQ @@ -130,7 +130,7 @@ def __init__(self): self.output_format_subplot: List[str] = [] self.canvas_size_w: int = 1212 self.canvas_size_h: int = 1628 - self.figsize: List[float] = [8.5, 11.0] + self.figsize: Tuple[float, float] = (8.5, 11.0) self.dpi: int = 150 self.arrows: bool = True self.logo: bool = False diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index c4057cbbe..e2d9de5cb 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -40,7 +40,7 @@ BORDER_PADDING = (-0.06, -0.03, 0.13, 0.03) -def _save_plot(fig: plt.figure, parameter: CoreParameter): +def _save_plot(fig: plt.Figure, parameter: CoreParameter): """Save the plot using the figure object and parameter configs. This function creates the output filename to save the plot. It also @@ -48,7 +48,7 @@ def _save_plot(fig: plt.figure, parameter: CoreParameter): Parameters ---------- - fig : plt.figure + fig : plt.Figure The plot figure. parameter : CoreParameter The CoreParameter with file configurations. @@ -98,7 +98,7 @@ def _save_plot(fig: plt.figure, parameter: CoreParameter): def _add_colormap( subplot_num: int, var: xr.DataArray, - fig: plt.figure, + fig: plt.Figure, parameter: CoreParameter, color_map: str, contour_levels: List[float], @@ -117,7 +117,7 @@ def _add_colormap( The subplot number. var : xr.DataArray The variable to plot. - fig : plt.figure + fig : plt.Figure The figure object to add the subplot to. parameter : CoreParameter The CoreParameter object containing plot configurations. diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 1fdf6de3e..75eed59e7 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -1,3 +1,4 @@ +import copy import logging from collections import OrderedDict from typing import Literal @@ -23,7 +24,9 @@ def _create_parameter_object( start_yr: str, end_yr: str, ): - parameter = CoreParameter() + # NOTE: Make sure to create deep copies to avoid references in memory to + # the same object. + parameter = copy.deepcopy(CoreParameter()) if dataset_type == "ref": if data_type == "time_series": @@ -83,7 +86,7 @@ def test_raises_error_if_type_attr_is_invalid(self): def test_sets_start_yr_and_end_yr_for_area_mean_time_series_set(self): parameter = AreaMeanTimeSeriesParameter() - parameter.sets[0] = "area_mean_time_series" + parameter.sets = ["area_mean_time_series"] parameter.start_yr = "2000" parameter.end_yr = "2001" @@ -96,7 +99,7 @@ def test_sets_sub_monthly_if_diurnal_cycle_or_arms_diags_set(self): parameter = _create_parameter_object( "ref", "time_series", self.data_path, "2000", "2001" ) - parameter.sets[0] = "diurnal_cycle" + parameter.sets = ["diurnal_cycle"] ds = Dataset(parameter, data_type="ref") @@ -363,7 +366,7 @@ def test_returns_reference_climo_dataset_from_file(self): result = ds.get_ref_climo_dataset("ts", "ANN", self.ds_climo.copy()) expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) assert not ds.model_only def test_returns_test_dataset_as_default_value_if_climo_dataset_not_found(self): @@ -554,7 +557,7 @@ def test_returns_climo_dataset_using_ref_file_variable(self): result = ds.get_climo_dataset("ts", "ANN") expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_test_file_variable(self): parameter = _create_parameter_object( @@ -568,9 +571,11 @@ def test_returns_climo_dataset_using_test_file_variable(self): result = ds.get_climo_dataset("ts", "ANN") expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) - def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season(self): + def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season( + self, + ): # Example: {test_data_path}/{test_name}_{season}.nc parameter = _create_parameter_object( "ref", "climo", self.data_path, "2000", "2001" @@ -582,9 +587,11 @@ def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season(self result = ds.get_climo_dataset("ts", "ANN") expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) - def test_returns_climo_dataset_using_test_file_variable_test_name_and_season(self): + def test_returns_climo_dataset_using_test_file_variable_test_name_and_season( + self, + ): # Example: {test_data_path}/{test_name}_{season}.nc parameter = _create_parameter_object( "test", "climo", self.data_path, "2000", "2001" @@ -596,7 +603,7 @@ def test_returns_climo_dataset_using_test_file_variable_test_name_and_season(sel result = ds.get_climo_dataset("ts", "ANN") expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nested_pattern_1( self, @@ -616,7 +623,7 @@ def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nest result = ds.get_climo_dataset("ts", "ANN") expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nested_pattern_2( self, @@ -638,7 +645,7 @@ def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nest result = ds.get_climo_dataset("ts", "ANN") expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_with_derived_variable(self): # We will derive the "PRECT" variable using the "pr" variable. @@ -693,7 +700,7 @@ def test_returns_climo_dataset_with_derived_variable(self): expected["PRECT"] = expected["pr"] * 3600 * 24 expected["PRECT"].attrs["units"] = "mm/day" - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): ds_precst = xr.Dataset( @@ -744,7 +751,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): result = ds.get_climo_dataset("PRECST", season="ANN") expected = ds_precst.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_source_variable_with_wildcard(self): ds_precst = xr.Dataset( @@ -805,7 +812,7 @@ def test_returns_climo_dataset_using_source_variable_with_wildcard(self): expected = ds_precst.squeeze(dim="time").drop_vars("time") expected["bc_DDF"] = expected["bc_a?DDF"] + expected["bc_c?DDF"] - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_climo_of_time_series_files(self): parameter = _create_parameter_object( @@ -826,7 +833,7 @@ def test_returns_climo_dataset_using_climo_of_time_series_files(self): name="ts", data=np.array([[1.0, 1.0], [1.0, 1.0]]), dims=["lat", "lon"] ) - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_raises_error_if_no_filepath_found_for_variable(self): parameter = _create_parameter_object( @@ -1059,7 +1066,7 @@ def test_returns_time_series_dataset_using_file(self): # is dropped when subsetting with the middle of the month (2000-01-15). expected = self.ds_ts.isel(time=slice(1, 4)) - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_time_series_dataset_using_sub_monthly_sets(self): parameter = _create_parameter_object( @@ -1078,7 +1085,7 @@ def test_returns_time_series_dataset_using_sub_monthly_sets(self): result = ds.get_time_series_dataset("ts") expected = self.ds_ts.copy() - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_time_series_dataset_using_derived_var(self): # We will derive the "PRECT" variable using the "pr" variable. @@ -1143,10 +1150,9 @@ def test_returns_time_series_dataset_using_derived_var(self): expected["PRECT"] = expected["pr"] * 3600 * 24 expected["PRECT"].attrs["units"] = "mm/day" - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(self): - # We will derive the "PRECT" variable using the "pr" variable. ds_precst = xr.Dataset( coords={ "lat": [-90, 90], @@ -1206,7 +1212,7 @@ def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(sel result = ds.get_time_series_dataset("PRECST") expected = ds_precst.copy() - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_raises_error_if_no_datasets_found_to_derive_variable(self): # In this test, we don't create a dataset and write it out to `.nc`. @@ -1241,9 +1247,10 @@ def test_returns_time_series_dataset_with_centered_time_if_single_point(self): dtype=object, ) - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_time_series_dataset_using_file_with_ref_name_prepended(self): + ds_ts = self.ds_ts.copy() parameter = _create_parameter_object( "ref", "time_series", self.data_path, "2000", "2001" ) @@ -1251,16 +1258,16 @@ def test_returns_time_series_dataset_using_file_with_ref_name_prepended(self): ref_data_path = self.data_path / parameter.ref_name ref_data_path.mkdir() - self.ds_ts.to_netcdf(f"{ref_data_path}/ts_200001_200112.nc") + ds_ts.to_netcdf(f"{ref_data_path}/ts_200001_200112.nc") ds = Dataset(parameter, data_type="ref") result = ds.get_time_series_dataset("ts") # Since the data is not sub-monthly, the first time coord (2001-01-01) # is dropped when subsetting with the middle of the month (2000-01-15). - expected = self.ds_ts.isel(time=slice(1, 4)) + expected = ds_ts.isel(time=slice(1, 4)) - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_raises_error_if_time_series_dataset_could_not_be_found(self): self.ds_ts.to_netcdf(self.ts_path) @@ -1385,7 +1392,7 @@ def test_returns_land_sea_mask_if_matching_vars_in_dataset(self): expected = ds_climo.copy() expected = expected.squeeze(dim="time").drop_vars("time") - assert result.identical(expected) + xr.testing.assert_identical(result, expected) def test_returns_default_land_sea_mask_if_one_or_no_matching_vars_in_dataset( self, caplog @@ -1405,9 +1412,9 @@ def test_returns_default_land_sea_mask_if_one_or_no_matching_vars_in_dataset( result = ds._get_land_sea_mask("ANN") expected = xr.open_dataset(LAND_OCEAN_MASK_PATH) - expected = expected.squeeze(dim="time").drop_vars("time") + expected = expected.squeeze(dim="time").drop_vars(["time", "time_bnds"]) - assert result.identical(expected) + xr.testing.assert_identical(result, expected) class TestGetNameAndYearsAttr: From 6e40365da48c0bcddc907220779e70edb40999c0 Mon Sep 17 00:00:00 2001 From: tomvothecoder Date: Wed, 24 Jan 2024 11:18:59 -0800 Subject: [PATCH 05/41] Add template run scripts --- auxiliary_tools/__init__.py | 0 .../cdat_regression_testing/__init__.py | 0 .../base_run_script.py | 257 ++++++++++++++++++ .../template_run_script.py | 41 +++ 4 files changed, 298 insertions(+) create mode 100644 auxiliary_tools/__init__.py create mode 100644 auxiliary_tools/cdat_regression_testing/__init__.py create mode 100644 auxiliary_tools/cdat_regression_testing/base_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/template_run_script.py diff --git a/auxiliary_tools/__init__.py b/auxiliary_tools/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/auxiliary_tools/cdat_regression_testing/__init__.py b/auxiliary_tools/cdat_regression_testing/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/auxiliary_tools/cdat_regression_testing/base_run_script.py b/auxiliary_tools/cdat_regression_testing/base_run_script.py new file mode 100644 index 000000000..f7cef4c78 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/base_run_script.py @@ -0,0 +1,257 @@ +""" +This is a copy of `examples/run_v2_9_0_all_sets_E3SM_machines.py` with +some slight tweaks to make it geared towards CDAT migration refactoring work. +""" +# flake8: noqa E501 + +import os +from typing import List, Tuple, TypedDict + +from mache import MachineInfo + +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner + +# The location where results will be stored based on your branch changes. +BASE_RESULTS_DIR = "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/" + + +class MachinePaths(TypedDict): + html_path: str + obs_climo: str + test_climo: str + obs_ts: str + test_ts: str + dc_obs_climo: str + dc_test_climo: str + arm_obs: str + arm_test: str + tc_obs: str + tc_test: str + + +def run_set(set_name: str, set_dir: str, save_netcdf: bool): + machine_paths: MachinePaths = _get_machine_paths() + + param = CoreParameter() + + param.reference_data_path = machine_paths["obs_climo"] + param.test_data_path = machine_paths["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + + param.results_dir = os.path.join(BASE_RESULTS_DIR, set_dir) + param.multiprocessing = True + param.num_workers = 5 + + # Make sure to save the netCDF files to compare outputs. + param.save_netcdf = save_netcdf + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = machine_paths["obs_ts"] + enso_param.test_data_path = machine_paths["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + + qbo_param = QboParameter() + qbo_param.reference_data_path = machine_paths["obs_ts"] + qbo_param.test_data_path = machine_paths["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = machine_paths["obs_ts"] + ts_param.test_data_path = machine_paths["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = machine_paths["dc_obs_climo"] + dc_param.test_data_path = machine_paths["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = machine_paths["obs_ts"] + streamflow_param.test_data_path = machine_paths["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = machine_paths["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = machine_paths["arm_test"] + arm_param.test_name = "e3sm_v2" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = machine_paths["tc_obs"] + tc_param.test_data_path = machine_paths["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, use all available years form obs by default. + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + + ac_param = ACzonalmeanParameter() + zm_param = ZonalMean2dStratosphereParameter() + + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + + runner.sets_to_run = [set_name] + + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + mp_param, + ] + ) + + return param.results_dir + + +def _get_machine_paths() -> MachinePaths: + """Returns the paths on the machine that are required to run e3sm_diags. + + Returns + ------- + MachinePaths + A dictionary of paths on the machine, with the key being the path type + and the value being the absolute path string. + """ + # Get the current machine's configuration info. + machine_info = MachineInfo() + machine = machine_info.machine + + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: + raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") + + # Path to the HTML outputs for the current user. + web_portal_base_path = machine_info.config.get("web_portal", "base_path") + html_path = f"{web_portal_base_path}/{machine_info.username}/" + + # Path to the reference data directory. + diags_base_path = machine_info.diagnostics_base + ref_data_dir = f"{diags_base_path}/observations/Atm" + + # Paths to the test data directories. + test_data_dir, test_data_dir2 = _get_test_data_dirs(machine) + + # Construct the paths required by e3sm_diags using the base paths above. + machine_paths: MachinePaths = { + "html_path": html_path, + "obs_climo": f"{ref_data_dir}/climatology", + "test_climo": f"{test_data_dir}/climatology/rgr/", + "obs_ts": f"{ref_data_dir}/time-series/", + "test_ts": f"{test_data_dir}/time-series/rgr/", + "dc_obs_climo": f"{ref_data_dir}/climatology", + "dc_test_climo": f"{test_data_dir}/diurnal_climatology/rgr", + "arm_obs": f"{ref_data_dir}/arm-diags-data/", + "arm_test": f"{test_data_dir2}/arm-diags-data/", + "tc_obs": f"{ref_data_dir}/tc-analysis/", + "tc_test": f"{test_data_dir}/tc-analysis/", + } + + return machine_paths + + +def _get_test_data_dirs(machine: str) -> Tuple[str, str]: + """Get the directories for test data based on the machine. + + The second path is for using the high frequency grid box output at ARM sites + from another simulation when the output is available. + + Parameters + ---------- + machine : str + The name of the machine. + + Returns + ------- + Tuple[str, str] + A tuple of two strings, each representing a test data directory path. + """ + test_data_dirs = None + + # TODO: Update this function to use `mache` after the directories are updated. + if machine in ["chrysalis", "anvil"]: + base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["compy"]: + base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: + base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" + + test_data_dirs = ( + f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", + ) + + return test_data_dirs # type: ignore + + +if __name__ == "__main__": + run_set() diff --git a/auxiliary_tools/cdat_regression_testing/template_run_script.py b/auxiliary_tools/cdat_regression_testing/template_run_script.py new file mode 100644 index 000000000..683724496 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/template_run_script.py @@ -0,0 +1,41 @@ +""" +The template run script used for generating results on your development branch. + +Steps: +1. Activate your conda dev env for your branch +2. `make install` to install the latest version of your branch code into the env +3. Copy this script into `auxiliary_tools/cdat_regression_testing/-` +4. Update `SET_DIR` string variable +5. Update `SET_NAME` string variable. + - Options include: "lat_lon", "zonal_mean_xy", "zonal_mean_2d", + "zonal_mean_2d_stratosphere", "polar", "cosp_histogram", + "meridional_mean_2d", "annual_cycle_zonal_mean", "enso_diags", "qbo", + "area_mean_time_series", "diurnal_cycle", "streamflow", "arm_diags", + "tc_analysis", "aerosol_aeronet", "aerosol_budget", "mp_partition", +6. Update `SAVE_NETCDF` boolean variable. + - Set to True if your set does not produce metrics `.json` files, such as + cosp_histogram which only calculates spatial average and saves them to + netCDF files. + - Set to False if your set produces metrics `.json` files and you only + need to compare those in regression testing. +7. Run this script + - Make sure to run this command on NERSC perlmutter cpu: + `salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + conda activate ` + - python auxiliary_tools/cdat_regression_testing/ +8. Make a copy of the CDAT regression testing notebook in the same directory + as this script and follow the instructions there to start testing. +""" +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +# TODO: Update SETS_TO_RUN to the single set you are refactoring. +# Example: "lat_lon" +SET_NAME = "" +# TODO: Update SET_DIR to . This string gets appended +# to the base results_dir, "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/". +# Example: "671-lat-lon" +SET_DIR = "" +# TODO: Update SET_TO_NETCDF as needed. +SAVE_NETCDF = True + +run_set(SET_NAME, SET_DIR, SAVE_NETCDF) From d68b63dfb162751176d416237f3e02e224bb0647 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 30 Jan 2024 10:31:49 -0800 Subject: [PATCH 06/41] CDAT Migration Phase: Refactor `cosp_histogram` set (#748) - Refactor `cosp_histogram_driver.py` and `cosp_histogram_plot.py` - `formulas_cosp.py` (new file) - Includes refactored, Xarray-based `cosp_histogram_standard()` and `cosp_bin_sum()` functions - I wrote a lot of new code in `formulas_cosp.py` to clean up `derivations.py` and the old equivalent functions in `utils.py` - `derivations.py` - Cleaned up portions of `DERIVED_VARIABLES` dictionary - Removed unnecessary `OrderedDict` usage for `cosp_histogram` related variables (we should do this for the rest of the variables in in #716) - Remove unnecessary `convert_units()` function calls - Move cloud levels passed to derived variable formulas to `formulas_cosp.CLOUD_BIN_SUM_MAP` - `utils.py` - Delete deprecated, CDAT-based `cosp_histogram` functions - `dataset_xr.py` - Add `dataset_xr.Dataset._open_climo_dataset()` method with a catch for dataset quality issues where "time" is a scalar variable that does not match the "time" dimension array length, drops this variable and replaces it with the correct coordinate - Update `_get_dataset_with_derivation_func()` to handle derivation functions that require the `xr.Dataset` and `target_var_key` args (e.g., `cosp_histogram_standardize()` and `cosp_bin_sum()`) - `io.py` - Update `_write_vars_to_netcdf()` to write test, ref, and diff variables to individual netCDF (required for easy comparison to CDAT-based code that does the same thing) - Add `cdat_migration_regression_test_netcdf.ipynb` validation notebook template for comparing `.nc` files --- .coveragerc | 3 + ...osp_histogram_regression_test_netcdf.ipynb | 270 +++++++ .../660_cosp_histogram_run_script.py | 6 + .../base_run_script.py | 4 +- ... template_cdat_regression_test_json.ipynb} | 32 +- ...template_cdat_regression_test_netcdf.ipynb | 260 ++++++ .../template_run_script.py | 14 +- e3sm_diags/derivations/derivations.py | 315 ++------ e3sm_diags/derivations/formulas_cosp.py | 367 +++++++++ e3sm_diags/derivations/utils.py | 192 +---- e3sm_diags/driver/cosp_histogram_driver.py | 211 ++--- e3sm_diags/driver/utils/dataset_xr.py | 165 +++- e3sm_diags/driver/utils/io.py | 57 +- e3sm_diags/parameter/core_parameter.py | 1 - .../plot/{cartopy => }/cosp_histogram_plot.py | 236 +++--- e3sm_diags/plot/lat_lon_plot.py | 5 +- .../derivations/test_formulas_cosp.py | 758 ++++++++++++++++++ .../driver/utils/test_dataset_xr.py | 167 +++- tests/e3sm_diags/driver/utils/test_io.py | 61 +- 19 files changed, 2376 insertions(+), 748 deletions(-) create mode 100644 .coveragerc create mode 100644 auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_run_script.py rename auxiliary_tools/cdat_regression_testing/{template_cdat_regression_test.ipynb => template_cdat_regression_test_json.ipynb} (96%) create mode 100644 auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb create mode 100644 e3sm_diags/derivations/formulas_cosp.py rename e3sm_diags/plot/{cartopy => }/cosp_histogram_plot.py (73%) create mode 100644 tests/e3sm_diags/derivations/test_formulas_cosp.py diff --git a/.coveragerc b/.coveragerc new file mode 100644 index 000000000..ca70a5b2a --- /dev/null +++ b/.coveragerc @@ -0,0 +1,3 @@ +[report] +exclude_also = + if TYPE_CHECKING: diff --git a/auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_regression_test_netcdf.ipynb new file mode 100644 index 000000000..a9bb918e7 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_regression_test_netcdf.ipynb @@ -0,0 +1,270 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"cosp_histogram\"\n", + "SET_DIR = \"660-cosp-histogram\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_var_to_filepath_map():\n", + " var_to_file = defaultdict(lambda: defaultdict(dict))\n", + "\n", + " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", + " # Example:\n", + " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", + " file_arr = dev_file.split(\"/\")\n", + "\n", + " # Example: \"test\"\n", + " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", + "\n", + " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", + " # does not make sense.\n", + " if data_type == \"test\" or data_type == \"ref\":\n", + " # Example: \"ISCCP\"\n", + " model = file_arr[-2].split(\"-\")[0]\n", + " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "\n", + " var_to_file[model][data_type][season] = (dev_file, main_file)\n", + "\n", + " return var_to_file\n", + "\n", + "\n", + "def _get_relative_diffs(var_to_filepath):\n", + " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for model, data_types in var_to_filepath.items():\n", + " for _, seasons in data_types.items():\n", + " for _, filepaths in seasons.items():\n", + " print(\"Comparing:\")\n", + " print(filepaths[0], \"\\n\", filepaths[1])\n", + " ds1 = xr.open_dataset(filepaths[0])\n", + " ds2 = xr.open_dataset(filepaths[1])\n", + "\n", + " try:\n", + " var_key = f\"COSP_HISTOGRAM_{model}\"\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "var_to_filepaths = _get_var_to_filepath_map()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 42 / 42 (100%)\n", + "Max absolute difference: 4.23048367e-05\n", + "Max relative difference: 1.16682146e-05\n", + " x: array([[0.703907, 2.669376, 3.065526, 1.579834, 0.363847, 0.128541],\n", + " [0.147366, 1.152637, 3.67049 , 3.791006, 1.398453, 0.392103],\n", + " [0.07496 , 0.474791, 1.37002 , 1.705649, 0.786423, 0.346744],...\n", + " y: array([[0.703899, 2.669347, 3.065492, 1.579816, 0.363843, 0.12854 ],\n", + " [0.147364, 1.152624, 3.670448, 3.790965, 1.398438, 0.392099],\n", + " [0.074959, 0.474786, 1.370004, 1.705629, 0.786415, 0.34674 ],...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 42 / 42 (100%)\n", + "Max absolute difference: 4.91806181e-05\n", + "Max relative difference: 1.3272405e-05\n", + " x: array([[0.62896 , 2.657657, 3.206268, 1.704946, 0.398659, 0.169424],\n", + " [0.147569, 1.228835, 3.697387, 3.727142, 1.223123, 0.436504],\n", + " [0.072129, 0.508413, 1.167637, 1.412202, 0.638085, 0.362268],...\n", + " y: array([[0.628952, 2.657625, 3.206227, 1.704924, 0.398654, 0.169422],\n", + " [0.147567, 1.228819, 3.697338, 3.727093, 1.223107, 0.436498],\n", + " [0.072128, 0.508407, 1.167622, 1.412183, 0.638076, 0.362263],...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs(var_to_filepaths)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- The relative tolerance of all files are 1e-05, which means things should be good to go.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_run_script.py b/auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_run_script.py new file mode 100644 index 000000000..79dbda4f2 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/660-cosp-histogram/660_cosp_histogram_run_script.py @@ -0,0 +1,6 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "cosp_histogram" +SET_DIR = "660-cosp-histogram" + +run_set(SET_NAME, SET_DIR) diff --git a/auxiliary_tools/cdat_regression_testing/base_run_script.py b/auxiliary_tools/cdat_regression_testing/base_run_script.py index f7cef4c78..88c735d9b 100644 --- a/auxiliary_tools/cdat_regression_testing/base_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/base_run_script.py @@ -44,7 +44,7 @@ class MachinePaths(TypedDict): tc_test: str -def run_set(set_name: str, set_dir: str, save_netcdf: bool): +def run_set(set_name: str, set_dir: str): machine_paths: MachinePaths = _get_machine_paths() param = CoreParameter() @@ -62,7 +62,7 @@ def run_set(set_name: str, set_dir: str, save_netcdf: bool): param.num_workers = 5 # Make sure to save the netCDF files to compare outputs. - param.save_netcdf = save_netcdf + param.save_netcdf = True # Set specific parameters for new sets enso_param = EnsoDiagsParameter() diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb similarity index 96% rename from auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb rename to auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb index 3cd30e7e5..a38b98351 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb @@ -4,7 +4,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# CDAT Migration Regression Testing Notebook\n", + "# CDAT Migration Regression Testing Notebook (`.json` metrics)\n", "\n", "This notebook is used to perform regression testing between the development and\n", "production versions of a diagnostic set.\n", @@ -47,25 +47,27 @@ "metadata": {}, "outputs": [], "source": [ + "from collections import defaultdict\n", "import glob\n", - "from auxiliary_tools.cdat_regression_testing.utils import (\n", - " get_metrics,\n", - " get_rel_diffs,\n", - " get_num_metrics_above_diff_thres,\n", - " highlight_large_diffs,\n", - " sort_columns,\n", - " update_diffs_to_pct,\n", - " PERCENTAGE_COLUMNS,\n", - ")\n", "\n", - "import pandas as pd\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"cosp_histogram\"\n", + "SET_DIR = \"660-cosp-histogram\"\n", "\n", - "# TODO: Update DEV_RESULTS and MAIN_RESULTS to your diagnostic sets.\n", - "DEV_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples_658/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", - "MAIN_PATH = \"/global/cfs/cdirs/e3sm/www/vo13/examples/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model\"\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", "\n", "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", - "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))" + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" ] }, { diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..a021b736b --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,260 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"\"\n", + "SET_DIR = \"\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_var_to_filepath_map():\n", + " var_to_file = defaultdict(lambda: defaultdict(dict))\n", + "\n", + " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", + " # Example:\n", + " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", + " file_arr = dev_file.split(\"/\")\n", + "\n", + " # Example: \"test\"\n", + " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", + "\n", + " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", + " # does not make sense.\n", + " if data_type == \"test\" or data_type == \"ref\":\n", + " # Example: \"ISCCP\"\n", + " model = file_arr[-2].split(\"-\")[0]\n", + " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "\n", + " var_to_file[model][data_type][season] = (dev_file, main_file)\n", + "\n", + " return var_to_file\n", + "\n", + "\n", + "def _get_relative_diffs(var_to_filepath):\n", + " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for model, data_types in var_to_filepath.items():\n", + " for _, seasons in data_types.items():\n", + " for _, filepaths in seasons.items():\n", + " print(\"Comparing:\")\n", + " print(filepaths[0], \"\\n\", filepaths[1])\n", + " ds1 = xr.open_dataset(filepaths[0])\n", + " ds2 = xr.open_dataset(filepaths[1])\n", + "\n", + " try:\n", + " var_key = f\"COSP_HISTOGRAM_{model}\"\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "var_to_filepaths = _get_var_to_filepath_map()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 42 / 42 (100%)\n", + "Max absolute difference: 4.23048367e-05\n", + "Max relative difference: 1.16682146e-05\n", + " x: array([[0.703907, 2.669376, 3.065526, 1.579834, 0.363847, 0.128541],\n", + " [0.147366, 1.152637, 3.67049 , 3.791006, 1.398453, 0.392103],\n", + " [0.07496 , 0.474791, 1.37002 , 1.705649, 0.786423, 0.346744],...\n", + " y: array([[0.703899, 2.669347, 3.065492, 1.579816, 0.363843, 0.12854 ],\n", + " [0.147364, 1.152624, 3.670448, 3.790965, 1.398438, 0.392099],\n", + " [0.074959, 0.474786, 1.370004, 1.705629, 0.786415, 0.34674 ],...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 42 / 42 (100%)\n", + "Max absolute difference: 4.91806181e-05\n", + "Max relative difference: 1.3272405e-05\n", + " x: array([[0.62896 , 2.657657, 3.206268, 1.704946, 0.398659, 0.169424],\n", + " [0.147569, 1.228835, 3.697387, 3.727142, 1.223123, 0.436504],\n", + " [0.072129, 0.508413, 1.167637, 1.412202, 0.638085, 0.362268],...\n", + " y: array([[0.628952, 2.657625, 3.206227, 1.704924, 0.398654, 0.169422],\n", + " [0.147567, 1.228819, 3.697338, 3.727093, 1.223107, 0.436498],\n", + " [0.072128, 0.508407, 1.167622, 1.412183, 0.638076, 0.362263],...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs(var_to_filepaths)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- The relative tolerance of all files are 1e-05, which means things should be good to go.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/template_run_script.py b/auxiliary_tools/cdat_regression_testing/template_run_script.py index 683724496..43d3bef62 100644 --- a/auxiliary_tools/cdat_regression_testing/template_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/template_run_script.py @@ -12,18 +12,12 @@ "meridional_mean_2d", "annual_cycle_zonal_mean", "enso_diags", "qbo", "area_mean_time_series", "diurnal_cycle", "streamflow", "arm_diags", "tc_analysis", "aerosol_aeronet", "aerosol_budget", "mp_partition", -6. Update `SAVE_NETCDF` boolean variable. - - Set to True if your set does not produce metrics `.json` files, such as - cosp_histogram which only calculates spatial average and saves them to - netCDF files. - - Set to False if your set produces metrics `.json` files and you only - need to compare those in regression testing. -7. Run this script +6. Run this script - Make sure to run this command on NERSC perlmutter cpu: `salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm conda activate ` - python auxiliary_tools/cdat_regression_testing/ -8. Make a copy of the CDAT regression testing notebook in the same directory +7. Make a copy of the CDAT regression testing notebook in the same directory as this script and follow the instructions there to start testing. """ from auxiliary_tools.cdat_regression_testing.base_run_script import run_set @@ -35,7 +29,5 @@ # to the base results_dir, "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/". # Example: "671-lat-lon" SET_DIR = "" -# TODO: Update SET_TO_NETCDF as needed. -SAVE_NETCDF = True -run_set(SET_NAME, SET_DIR, SAVE_NETCDF) +run_set(SET_NAME, SET_DIR) diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index ef29ae471..2b179243b 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -13,7 +13,7 @@ data for these variables to the formula function 'prect()'. """ from collections import OrderedDict -from typing import Callable, Dict, Tuple +from typing import Callable, Dict, Tuple, Union from e3sm_diags.derivations.formulas import ( albedo, @@ -50,24 +50,33 @@ tref_range, w_convert_q, ) +from e3sm_diags.derivations.formulas_cosp import ( + cosp_bin_sum, + cosp_histogram_standardize, +) from e3sm_diags.derivations.utils import ( _apply_land_sea_mask, aplusb, convert_units, - cosp_bin_sum, - cosp_histogram_standardize, rename, ) # A type annotation ordered dictionary that maps a tuple of source variable(s) # to a derivation function. -DerivedVariableMap = OrderedDict[Tuple[str, ...], Callable] +DerivedVariableMap = Union[ + OrderedDict[Tuple[str, ...], Callable], Dict[Tuple[str, ...], Callable] +] # A type annotation for a dictionary mapping the key of a derived variable # to an ordered dictionary that maps a tuple of source variable(s) to a # derivation function. DerivedVariablesMap = Dict[str, DerivedVariableMap] +# A list of functions that need the target variable key as an argument to use +# for further operations. This variable is used in the Dataset class variable +# derivation method. +FUNC_NEEDS_TARGET_VAR = [cosp_bin_sum, cosp_histogram_standardize] + DERIVED_VARIABLES: DerivedVariablesMap = { "PRECT": OrderedDict( @@ -581,242 +590,74 @@ ] ), # ISCCP - "CLDTOT_TAU1.3_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ( - ("CLISCCP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU1.3_9.4_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ( - ("CLISCCP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU9.4_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ( - ("CLISCCP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ] - ), + "CLDTOT_TAU1.3_ISCCP": { + ("FISCCP1_COSP",): cosp_bin_sum, + ("CLISCCP",): cosp_bin_sum, + }, + "CLDTOT_TAU1.3_9.4_ISCCP": { + ("FISCCP1_COSP",): cosp_bin_sum, + ("CLISCCP",): cosp_bin_sum, + }, + "CLDTOT_TAU9.4_ISCCP": { + ("FISCCP1_COSP",): cosp_bin_sum, + ("CLISCCP",): cosp_bin_sum, + }, # MODIS - "CLDTOT_TAU1.3_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU1.3_9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ] - ), - "CLDHGH_TAU1.3_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, 440, 0, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDHGH_TAU1.3_9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, 440, 0, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDHGH_TAU9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, 440, 0, 9.4, None), target_units="%" - ), - ), - ] - ), + "CLDTOT_TAU1.3_MODIS": { + ("CLMODIS",): cosp_bin_sum, + }, + "CLDTOT_TAU1.3_9.4_MODIS": { + ("CLMODIS",): cosp_bin_sum, + }, + "CLDTOT_TAU9.4_MODIS": { + ("CLMODIS",): cosp_bin_sum, + }, + "CLDHGH_TAU1.3_MODIS": { + ("CLMODIS",): cosp_bin_sum, + }, + "CLDHGH_TAU1.3_9.4_MODIS": { + ("CLMODIS",): cosp_bin_sum, + }, + "CLDHGH_TAU9.4_MODIS": { + ("CLMODIS",): cosp_bin_sum, + }, # MISR - "CLDTOT_TAU1.3_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU1.3_9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ] - ), - "CLDLOW_TAU1.3_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDLOW_TAU1.3_9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, 9.4), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDLOW_TAU9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 9.4, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 9.4, None), target_units="%" - ), - ), - ] - ), + "CLDTOT_TAU1.3_MISR": { + ("CLD_MISR",): cosp_bin_sum, + ("CLMISR",): cosp_bin_sum, + }, + "CLDTOT_TAU1.3_9.4_MISR": { + ("CLD_MISR",): cosp_bin_sum, + ("CLMISR",): cosp_bin_sum, + }, + "CLDTOT_TAU9.4_MISR": { + ("CLD_MISR",): cosp_bin_sum, + ("CLMISR",): cosp_bin_sum, + }, + "CLDLOW_TAU1.3_MISR": { + ("CLD_MISR",): cosp_bin_sum, + ("CLMISR",): cosp_bin_sum, + }, + "CLDLOW_TAU1.3_9.4_MISR": { + ("CLD_MISR",): cosp_bin_sum, + ("CLMISR",): cosp_bin_sum, + }, + "CLDLOW_TAU9.4_MISR": { + ("CLD_MISR",): cosp_bin_sum, + ("CLMISR",): cosp_bin_sum, + }, # COSP cloud fraction joint histogram - "COSP_HISTOGRAM_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - (("CLMISR",), lambda cld: cosp_histogram_standardize(rename(cld))), - ] - ), - "COSP_HISTOGRAM_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - ] - ), - "COSP_HISTOGRAM_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - ( - ("CLISCCP",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - ] - ), + "COSP_HISTOGRAM_MISR": { + ("CLD_MISR",): cosp_histogram_standardize, + ("CLMISR",): cosp_histogram_standardize, + }, + "COSP_HISTOGRAM_MODIS": { + ("CLMODIS",): cosp_histogram_standardize, + }, + "COSP_HISTOGRAM_ISCCP": { + ("FISCCP1_COSP",): cosp_histogram_standardize, + ("CLISCCP",): cosp_histogram_standardize, + }, "ICEFRAC": OrderedDict( [ ( diff --git a/e3sm_diags/derivations/formulas_cosp.py b/e3sm_diags/derivations/formulas_cosp.py new file mode 100644 index 000000000..3ee6fe9d1 --- /dev/null +++ b/e3sm_diags/derivations/formulas_cosp.py @@ -0,0 +1,367 @@ +from typing import Dict, List, Literal, Optional, Tuple, TypedDict + +import xarray as xr + +from e3sm_diags.derivations.formulas import convert_units + +# A dictionary storing attributes for "prs" and "tau" cloud axes. +# 1. 'keys': a list of valid variable keys found in the dataset, used for +# dynamic mapping. +# 2. 'min_mask': the minimum value to standardize the axis on for histogram +# plotting. +CloudAxis = Literal["prs", "tau"] +CloudHistMapAttrs = TypedDict( + "CloudHistMapAttrs", {"keys": List[str], "min_mask": float} +) +CLOUD_HIST_MAP: Dict[CloudAxis, CloudHistMapAttrs] = { + "prs": { + "keys": ["cosp_prs", "cosp_htmisr", "modis_prs", "misr_cth", "isccp_prs"], + "min_mask": 0.0, + }, + "tau": { + "keys": ["cosp_tau", "cosp_tau_modis", "modis_tau", "misr_tau", "isccp_tau"], + "min_mask": 0.3, + }, +} + +# A dictionary mapping the target variable key to the "prs" and "tau" axes +# adjustment ranges. If either value in the (min, max) tuple is None, then +# the actual value from the axis is used instead. +AdjRange = Tuple[Optional[float], Optional[float]] +CLOUD_BIN_SUM_MAP: Dict[str, Dict[str, AdjRange]] = { + # ISSCCP + "CLDTOT_TAU1.3_ISCCP": {"prs": (None, None), "tau": (1.3, None)}, + "CLDTOT_TAU1.3_9.4_ISCCP": {"prs": (None, None), "tau": (1.3, 9.4)}, + "CLDTOT_TAU9.4_ISCCP": {"prs": (None, None), "tau": (9.4, None)}, + # MODIS + "CLDTOT_TAU1.3_MODIS": {"prs": (None, None), "tau": (1.3, None)}, + "CLDTOT_TAU1.3_9.4_MODIS": {"prs": (None, None), "tau": (1.3, 9.4)}, + "CLDTOT_TAU9.4_MODIS": {"prs": (None, None), "tau": (9.4, None)}, + "CLDHGH_TAU1.3_MODIS": {"prs": (440, 0), "tau": (1.3, None)}, + "CLDHGH_TAU1.3_9.4_MODIS": {"prs": (440, 0), "tau": (1.3, 9.4)}, + "CLDHGH_TAU9.4_MODIS": {"prs": (440, 0), "tau": (9.4, None)}, + # MISR + "CLDTOT_TAU1.3_MISR": {"prs": (None, None), "tau": (1.3, None)}, + "CLDTOT_TAU1.3_9.4_MISR": {"prs": (None, None), "tau": (1.3, 9.4)}, + "CLDTOT_TAU9.4_MISR": {"prs": (None, None), "tau": (9.4, None)}, + "CLDLOW_TAU1.3_MISR": {"prs": (0, 3), "tau": (1.3, None)}, + "CLDLOW_TAU1.3_9.4_MISR": {"prs": (0, 3), "tau": (1.3, 9.4)}, + "CLDLOW_TAU9.4_MISR": {"prs": (0, 3), "tau": (9.4, None)}, +} + +# A dictionary mapping the names of "prs" axes to the unit adjustment value. +# - COSP v2 "cosp_pr" is in units "Pa" instead of "hPa" (v1). +# - COSP v2 "cosp_htmisr" is in units "m" instead of "km" (v1). +PRS_UNIT_ADJ_MAP = {"cosp_prs": 100, "cosp_htmisr": 1000} + + +def cosp_histogram_standardize(target_var_key: str, var: xr.DataArray) -> xr.DataArray: + """Standardize cloud top pressure and cloud thickness bins. + + This standardization makes the cloud variable data suitable for plotting. + + Parameters + ---------- + target_var_key : str + The target variable key (e.g,. "CLDTOT_TAU1.3_ISCCP"). + var : xr.DataArray + The variable in the dataset used for deriving the target variable + (e.g., "CLD_MODIS"). + + Returns + ------- + xr.DataArray + The target variable, which is the standardized version of the derived + variable (``var``). + """ + prs = _get_cloud_axis(var, "prs") + tau = _get_cloud_axis(var, "tau") + + # Mask on the min and max of prs and/or tau, then subset by dropping masked + # values. + var_std = _subset_cloud_var(var.copy(), prs, tau) + var_std.name = target_var_key + + return var_std + + +def cosp_bin_sum(target_var_key: str, var: xr.DataArray) -> xr.DataArray: + """Get the cosp bin sum for the derived variable. + + Parameters + ---------- + target_var_key : str + The target variable key (e.g,. "CLDTOT_TAU1.3_ISCCP"). + var : xr.DataArray + The variable in the dataset used for deriving the target variable + (e.g., "CLD_MODIS"). + + Returns + ------- + xr.DataArray + The target variable, which is the cosp bin sum of the derived variable, + ``var``. + """ + # 1. Get cloud axes + prs = _get_cloud_axis(var, "prs") + tau = _get_cloud_axis(var, "tau") + + # 2. Get the prs and tau axis adjustment ranges if they are set. + prs_adj_range = CLOUD_BIN_SUM_MAP[target_var_key]["prs"] + tau_adj_range = CLOUD_BIN_SUM_MAP[target_var_key]["tau"] + + # 3. Get prs range, lim. + prs_range = _get_prs_subset_range(prs, prs_adj_range) + + # 4. Get tau range and lim. + tau_range, tau_lim = _get_tau_subset_range_and_str(tau, tau_adj_range) + + # 4. Get the axes mask conditional and subset the variable on it. + cond = ( + (prs >= prs_range[0]) + & (prs <= prs_range[-1]) + & (tau >= tau_range[0]) + & (tau <= tau_range[-1]) + ) + var_sub = var.where(cond, drop=True) + + # 5. Sum on axis=0 and axis=1 (tau and prs) + var_sum = var_sub.sum(dim=[prs.name, tau.name]) + + # 6. Set the variable's long name based on the original variable's name and + # prs ranges. + var_key = str(var.name) + simulation = _get_simulation_str(var_key) + prs_cloud_level = _get_prs_cloud_level_str(var_key, prs_range, prs_adj_range) + + if simulation is not None and prs_cloud_level is not None: + var_sum.attrs["long_name"] = f"{simulation}: {prs_cloud_level} with {tau_lim}" + + # 7. Convert units to %. + final_var = convert_units(var_sum, "%") + + return final_var + + +def _get_cloud_axis(var: xr.DataArray, axis: CloudAxis) -> xr.DataArray: + da_axis = None + + keys = CLOUD_HIST_MAP[axis]["keys"] + for key in keys: + if key in var.dims: + da_axis = var[key] + + break + + if da_axis is None: + raise KeyError( + f"The {axis!r} axis is not in the {var.name!r} to " + "standardize the cosp histogram." + ) + + return da_axis + + +def _subset_cloud_var( + var: xr.DataArray, prs: xr.DataArray, tau: xr.DataArray +) -> xr.DataArray: + prs_min = CLOUD_HIST_MAP["prs"]["min_mask"] + prs_max = prs[-1].item() + + tau_min = CLOUD_HIST_MAP["tau"]["min_mask"] + tau_max = tau[-1].item() + + # MISR model and MISR obs + if var.name in ["CLD_MISR", "CLMISR"]: + # COSP v2 cosp_htmisr in units m instead of km as in v1 and COSP v2 + # cosp_htmisr[0] equals to 0 instead of -99 as in v1 so the cloud + # varable needs to be masked manually by slicing out the first index + # on the cosp_htmisr axis. + if var.name == "CLD_MISR" and prs.max().item() > 1000: + var = var.isel({prs.name: slice(1, None)}) + prs_max = 1000.0 * prs_max + + cond = (prs >= prs_min) & (prs <= prs_max) & (tau >= tau_min) & (tau <= tau_max) + # ISCCP model, # ISCCP obs, and MODIS + elif var.name in ["FISCCP1_COSP", "CLISCCP", "CLMODIS"]: + cond = (tau >= tau_min) & (tau <= tau_max) + + var_sub = var.where(cond, drop=True) + + return var_sub + + +def _get_prs_subset_range( + prs: xr.DataArray, prs_adj_range: AdjRange +) -> Tuple[float, float]: + """Get the pr axis subset range. + + This function loops over the min and max values for the actual and adjusted + pr range. If the adjusted range is not None, then use that as the range + value. Otherwise use the actual value from the prs axis. + + Adjust the units if the axis key is in ``PR_NAMES_TO_ADJUST_UNITS``. + + Parameters + ---------- + prs : xr.DataArray + The prs axis. + prs_adj_range : AdjRange + The prs axis adjustment range. + + Returns + ------- + Tuple[float, float] + A tuple of the (min, max) for the prs subset range. + """ + act_range = (prs[0].item(), prs[-1].item()) + final_range: List[float] = [] + + for act_val, adj_val in zip(act_range, prs_adj_range): + if adj_val is not None: + if prs.name in PRS_UNIT_ADJ_MAP.keys() and prs.max().item() > 1000: + adj_val = adj_val * PRS_UNIT_ADJ_MAP[str(prs.name)] + + final_range.append(adj_val) + else: + final_range.append(act_val) + + return tuple(final_range) # type: ignore + + +def _get_tau_subset_range_and_str( + tau: xr.DataArray, tau_adj_range: AdjRange +) -> Tuple[Tuple[float, float], str]: + """Get the tau range for subsetting and the tau range string. + + Parameters + ---------- + tau : xr.DataArray + The tau axis. + tau_adj_range : AdjRange + The tau axis adjustment range. + + Returns + ------- + Tuple[Tuple[float, float], str] + A tuple consisting of the tau range (min, max) and the tau range string. + """ + # The adjusted min and max values to use if either if them are None. + adj_min, adj_max = tau_adj_range + + # 1. Adjust min. + if adj_min is not None and adj_max is None: + act_max = tau[-1].item() + + range = (adj_min, act_max) + range_str = f"tau > {adj_min}" + # 2. Adjust min and max. + elif adj_min is not None and adj_max is not None: + range = (adj_min, adj_max) + range_str = f"{adj_min} < tau < {adj_max}" + + return range, range_str + + +def _get_simulation_str(var_key: str) -> Optional[str]: + """Get the prs simulation string. + + Parameters + ---------- + var_key : str + The key of the variable in the dataset. + + Returns + ------- + Optional[str] + The optional prs simulation string. + """ + sim = None + + # NOTE: This does not cover all variable keys. + if var_key == "FISCCP1_COSP": + sim = "ISCCP" + elif var_key == "CLMODIS": + sim = "MODIS" + elif var_key == "CLD_MISR": + sim = "MISR" + + return sim + + +def _get_prs_cloud_level_str( + var_key: str, + prs_act_range: Tuple[float, float], + prs_adj_range: AdjRange, +) -> Optional[str]: + """Get the prs cloud level and simulation type. + + Parameters + ---------- + var_key: str + The key of the variable in the dataset. + prs_act_range : Tuple[float, float] + The prs actual range. + prs_adj_range : AdjRange + The prs adjusted range. + + Returns + ------- + Optional[str] + The optional cloud level string. + """ + adj_min, adj_max = prs_adj_range + cloud_level = None + + if adj_min is None and adj_max is None: + cloud_level = "total cloud fraction" + + # NOTE: This does not cover all variable keys, including "FISCCP1_COSP". + if var_key == "CLMODIS": + cloud_level = _get_cloud_level( + prs_act_range, low_bnds=(440, 44000), high_bnds=(680, 68000) + ) + elif var_key == "CLD_MISR": + cloud_level = _get_cloud_level( + prs_act_range, low_bnds=(7, 7000), high_bnds=(3, 3000) + ) + + return cloud_level + + +def _get_cloud_level( + prs_act_range: Tuple[float, float], + low_bnds: Tuple[float, float], + high_bnds: Tuple[float, float], +) -> str: + """Get the cloud type based on prs values and the specified boundaries + + Thresholds for cloud levels: + 1. cloud top height: high cloud (<440hPa or > 7km) + 2. mid-level cloud (440-680hPa, 3-7 km) + 3. low clouds (>680hPa, < 3km) + + Parameters + ---------- + prs_act_range : Tuple[float, float] + The prs actual range. + low_bnds : Tuple[float, float] + The low bounds. + high_bnds : Tuple[float, float] + The high bounds. + + Returns + ------- + str + The cloud level string. + """ + min, max = prs_act_range + + if min in low_bnds and max in high_bnds: + return "middle cloud fraction" + elif min in low_bnds: + return "high cloud fraction" + elif max in high_bnds: + return "low cloud fraction" + + return "total cloud fraction" diff --git a/e3sm_diags/derivations/utils.py b/e3sm_diags/derivations/utils.py index b79041718..34a74c5ef 100644 --- a/e3sm_diags/derivations/utils.py +++ b/e3sm_diags/derivations/utils.py @@ -2,17 +2,9 @@ This module defines general utilities for deriving variables, including unit conversion functions, renaming variables, etc. """ -from typing import TYPE_CHECKING, Optional, Tuple - -import MV2 -import numpy as np import xarray as xr from genutil import udunits -if TYPE_CHECKING: - from cdms2.axis import FileAxis - from cdms2.fvariable import FileVariable - def rename(new_name: str): """Given the new name, just return it.""" @@ -88,6 +80,7 @@ def convert_units(var: xr.DataArray, target_units: str): # noqa: C901 elif var.attrs["units"] in ["gN/m^2/day", "gP/m^2/day", "gC/m^2/day"]: pass else: + # FIXME: Replace genutil.udunits module. temp = udunits(1.0, var.attrs["units"]) coeff, offset = temp.how(target_units) @@ -124,186 +117,3 @@ def _apply_land_sea_mask( masked_var = var.where(cond=cond, drop=False) return masked_var - - -def adjust_prs_val_units( - prs: "FileAxis", prs_val: float, prs_val0: Optional[float] -) -> float: - """Adjust the prs_val units based on the prs.id""" - # FIXME: Refactor this function to operate on xr.Dataset/xr.DataArray. - # COSP v2 cosp_pr in units Pa instead of hPa as in v1 - # COSP v2 cosp_htmisr in units m instead of km as in v1 - adjust_ids = {"cosp_prs": 100, "cosp_htmisr": 1000} - - if prs_val0: - prs_val = prs_val0 - if prs.id in adjust_ids.keys() and max(prs.getData()) > 1000: - prs_val = prs_val * adjust_ids[prs.id] - - return prs_val - - -def determine_cloud_level( - prs_low: float, - prs_high: float, - low_bnds: Tuple[int, int], - high_bnds: Tuple[int, int], -) -> str: - """Determines the cloud type based on prs values and the specified boundaries""" - # Threshold for cloud top height: high cloud (<440hPa or > 7km), midlevel cloud (440-680hPa, 3-7 km) and low clouds (>680hPa, < 3km) - if prs_low in low_bnds and prs_high in high_bnds: - return "middle cloud fraction" - elif prs_low in low_bnds: - return "high cloud fraction" - elif prs_high in high_bnds: - return "low cloud fraction" - else: - return "total cloud fraction" - - -def cosp_bin_sum( - cld: "FileVariable", - prs_low0: Optional[float], - prs_high0: Optional[float], - tau_low0: Optional[float], - tau_high0: Optional[float], -): - # FIXME: Refactor this function to operate on xr.Dataset/xr.DataArray. - """sum of cosp bins to calculate cloud fraction in specified cloud top pressure / height and - cloud thickness bins, input variable has dimension (cosp_prs,cosp_tau,lat,lon)/(cosp_ht,cosp_tau,lat,lon) - """ - prs: FileAxis = cld.getAxis(0) - tau: FileAxis = cld.getAxis(1) - - prs_low: float = adjust_prs_val_units(prs, prs[0], prs_low0) - prs_high: float = adjust_prs_val_units(prs, prs[-1], prs_high0) - - if prs_low0 is None and prs_high0 is None: - prs_lim = "total cloud fraction" - - tau_high, tau_low, tau_lim = determine_tau(tau, tau_low0, tau_high0) - - if cld.id == "FISCCP1_COSP": # ISCCP model - cld_bin = cld(cosp_prs=(prs_low, prs_high), cosp_tau=(tau_low, tau_high)) - simulator = "ISCCP" - if cld.id == "CLISCCP": # ISCCP obs - cld_bin = cld(isccp_prs=(prs_low, prs_high), isccp_tau=(tau_low, tau_high)) - - if cld.id == "CLMODIS": # MODIS - prs_lim = determine_cloud_level(prs_low, prs_high, (440, 44000), (680, 68000)) - simulator = "MODIS" - - if prs.id == "cosp_prs": # Model - cld_bin = cld( - cosp_prs=(prs_low, prs_high), cosp_tau_modis=(tau_low, tau_high) - ) - elif prs.id == "modis_prs": # Obs - cld_bin = cld(modis_prs=(prs_low, prs_high), modis_tau=(tau_low, tau_high)) - - if cld.id == "CLD_MISR": # MISR model - if max(prs) > 1000: # COSP v2 cosp_htmisr in units m instead of km as in v1 - cld = cld[ - 1:, :, :, : - ] # COSP v2 cosp_htmisr[0] equals to 0 instead of -99 as in v1, therefore cld needs to be masked manually - cld_bin = cld(cosp_htmisr=(prs_low, prs_high), cosp_tau=(tau_low, tau_high)) - prs_lim = determine_cloud_level(prs_low, prs_high, (7, 7000), (3, 3000)) - simulator = "MISR" - if cld.id == "CLMISR": # MISR obs - cld_bin = cld(misr_cth=(prs_low, prs_high), misr_tau=(tau_low, tau_high)) - - cld_bin_sum = MV2.sum(MV2.sum(cld_bin, axis=1), axis=0) - - try: - cld_bin_sum.long_name = simulator + ": " + prs_lim + " with " + tau_lim - # cld_bin_sum.long_name = "{}: {} with {}".format(simulator, prs_lim, tau_lim) - except BaseException: - pass - return cld_bin_sum - - -def determine_tau( - tau: "FileAxis", tau_low0: Optional[float], tau_high0: Optional[float] -): - # FIXME: Refactor this function to operate on xr.Dataset/xr.DataArray. - tau_low = tau[0] - tau_high = tau[-1] - - if tau_low0 is None and tau_high0: - tau_high = tau_high0 - tau_lim = "tau <" + str(tau_high0) - elif tau_high0 is None and tau_low0: - tau_low = tau_low0 - tau_lim = "tau >" + str(tau_low0) - elif tau_low0 is None and tau_high0 is None: - tau_lim = str(tau_low) + "< tau < " + str(tau_high) - else: - tau_low = tau_low0 - tau_high = tau_high0 - tau_lim = str(tau_low) + "< tau < " + str(tau_high) - - return tau_high, tau_low, tau_lim - - -def cosp_histogram_standardize(cld: "FileVariable"): - # TODO: Refactor this function to operate on xr.Dataset/xr.DataArray. - """standarize cloud top pressure and cloud thickness bins to dimensions that - suitable for plotting, input variable has dimention (cosp_prs,cosp_tau)""" - prs = cld.getAxis(0) - tau = cld.getAxis(1) - - prs[0] - prs_high = prs[-1] - tau[0] - tau_high = tau[-1] - - prs_bounds = getattr(prs, "bounds") - if prs_bounds is None: - cloud_prs_bounds = np.array( - [ - [1000.0, 800.0], - [800.0, 680.0], - [680.0, 560.0], - [560.0, 440.0], - [440.0, 310.0], - [310.0, 180.0], - [180.0, 0.0], - ] - ) # length 7 - prs.setBounds(np.array(cloud_prs_bounds, dtype=np.float32)) - - tau_bounds = getattr(tau, "bounds") - if tau_bounds is None: - cloud_tau_bounds = np.array( - [ - [0.3, 1.3], - [1.3, 3.6], - [3.6, 9.4], - [9.4, 23], - [23, 60], - [60, 379], - ] - ) # length 6 - tau.setBounds(np.array(cloud_tau_bounds, dtype=np.float32)) - - if cld.id == "FISCCP1_COSP": # ISCCP model - cld_hist = cld(cosp_tau=(0.3, tau_high)) - if cld.id == "CLISCCP": # ISCCP obs - cld_hist = cld(isccp_tau=(0.3, tau_high)) - - if cld.id == "CLMODIS": # MODIS - try: - cld_hist = cld(cosp_tau_modis=(0.3, tau_high)) # MODIS model - except BaseException: - cld_hist = cld(modis_tau=(0.3, tau_high)) # MODIS obs - - if cld.id == "CLD_MISR": # MISR model - if max(prs) > 1000: # COSP v2 cosp_htmisr in units m instead of km as in v1 - cld = cld[ - 1:, :, :, : - ] # COSP v2 cosp_htmisr[0] equals to 0 instead of -99 as in v1, therefore cld needs to be masked manually - prs_high = 1000.0 * prs_high - cld_hist = cld(cosp_tau=(0.3, tau_high), cosp_htmisr=(0, prs_high)) - if cld.id == "CLMISR": # MISR obs - cld_hist = cld(misr_tau=(0.3, tau_high), misr_cth=(0, prs_high)) - - return cld_hist diff --git a/e3sm_diags/driver/cosp_histogram_driver.py b/e3sm_diags/driver/cosp_histogram_driver.py index 5018ad389..c31976301 100755 --- a/e3sm_diags/driver/cosp_histogram_driver.py +++ b/e3sm_diags/driver/cosp_histogram_driver.py @@ -1,15 +1,15 @@ from __future__ import annotations -import os from typing import TYPE_CHECKING -import cdms2 +import xarray as xr -import e3sm_diags -from e3sm_diags.driver import utils +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import _subset_on_region from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, max_cdms, mean, min_cdms, rmse -from e3sm_diags.plot import plot +from e3sm_diags.metrics.metrics import spatial_avg +from e3sm_diags.plot.cosp_histogram_plot import plot as plot_func if TYPE_CHECKING: from e3sm_diags.parameter.core_parameter import CoreParameter @@ -17,114 +17,129 @@ logger = custom_logger(__name__) -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - metrics_dict = {} - metrics_dict["ref"] = { - "min": min_cdms(ref), - "max": max_cdms(ref), - "mean": mean(ref), - } - metrics_dict["test"] = { - "min": min_cdms(test), - "max": max_cdms(test), - "mean": mean(test), - } - - metrics_dict["diff"] = { - "min": min_cdms(diff), - "max": max_cdms(diff), - "mean": mean(diff), - } - metrics_dict["misc"] = { - "rmse": rmse(test_regrid, ref_regrid), - "corr": corr(test_regrid, ref_regrid), - } - - return metrics_dict +def run_diag(parameter: CoreParameter) -> CoreParameter: + """Get metrics for the cosp_histogram diagnostic set. + This function loops over each variable, season, pressure level, and region. -def run_diag(parameter: CoreParameter) -> CoreParameter: + It subsets the test and reference variables on the selected region, then + calculates the spatial average for both variables. The difference between + the test and reference spatial averages is calculated. Afterwards, the + spatial averages for the test, ref, and differences are plotted. + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + + Returns + ------- + CoreParameter + The parameter for the diagnostic with the result (completed or failed). + """ variables = parameter.variables seasons = parameter.seasons ref_name = getattr(parameter, "ref_name", "") regions = parameter.regions - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) - - # Get land/ocean fraction for masking. - try: - land_frac = test_data.get_climo_variable("LANDFRAC", season) - ocean_frac = test_data.get_climo_variable("OCNFRAC", season) - except Exception: - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" - ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") - - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var - - mv1 = test_data.get_climo_variable(var, season) - mv2 = ref_data.get_climo_variable(var, season) - - parameter.viewer_descr[var] = ( - mv1.long_name - if hasattr(mv1, "long_name") - else "No long_name attr in test data." - ) + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") - for region in regions: - logger.info("Selected region: {}".format(region)) + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key - mv1_domain = utils.general.select_region( - region, mv1, land_frac, ocean_frac, parameter - ) - mv2_domain = utils.general.select_region( - region, mv2, land_frac, ocean_frac, parameter - ) + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) - parameter.output_file = "-".join([ref_name, var, season, region]) - parameter.main_title = str(" ".join([var, season, region])) + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) - mv1_domain_mean = mean(mv1_domain) - mv2_domain_mean = mean(mv2_domain) - diff = mv1_domain_mean - mv2_domain_mean + for region in regions: + logger.info("Selected region: {}".format(region)) - mv1_domain_mean.id = var - mv2_domain_mean.id = var - diff.id = var + ds_test_region = _subset_on_region(ds_test, var_key, region) + ds_ref_region = _subset_on_region(ds_ref, var_key, region) - parameter.backend = ( - "mpl" # For now, there's no vcs support for this set. + parameter._set_param_output_attrs( + var_key, season, region, ref_name, ilev=None ) - plot( - parameter.current_set, - mv2_domain_mean, - mv1_domain_mean, - diff, - {}, - parameter, + + # Make a copy of the regional datasets to overwrite the existing + # variable with its spatial average. + ds_test_avg = ds_test.copy() + ds_ref_avg = ds_test.copy() + ds_test_avg[var_key] = spatial_avg( + ds_test_region, var_key, as_list=False ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_domain_mean, - mv2_domain_mean, - diff, + ds_ref_avg[var_key] = spatial_avg(ds_ref_region, var_key, as_list=False) + + # The dimension names of both variables must be aligned to + # perform arithmetic with Xarray. Sometimes the dimension names + # might differ based on the derived variable (e.g., + # "cosp_htmisr" vs. "misr_cth"). + ds_test_avg[var_key] = _align_test_to_ref_dims( + ds_test_avg[var_key], ds_ref_avg[var_key] + ) + ds_diff_avg = _get_diff_of_avg(var_key, ds_test_avg, ds_ref_avg) + + _save_data_metrics_and_plots( parameter, + plot_func, + var_key, + ds_test_avg, + ds_ref_avg, + ds_diff_avg, + metrics_dict=None, ) return parameter + + +def _get_diff_of_avg( + var_key: str, ds_test_avg: xr.Dataset, ds_ref_avg: xr.Dataset +) -> xr.Dataset: + # Use the test dataset as the base dataset to subtract the reference dataset + # from. + ds_diff_avg = ds_test_avg.copy() + + # There are case where the axes of the test and ref datasets aren't in the + # same units. We avoid label-based Xarray arithmetic which expect coordinates + # with the same units and will produce np.nan results by subtracting. + # Instead, we subtract using the reference xr.DataArray's `np.array` + # (`.values`). + ds_diff_avg[var_key] = ds_diff_avg[var_key] - ds_ref_avg[var_key].values + + return ds_diff_avg + + +def _align_test_to_ref_dims( + da_test: xr.DataArray, da_ref: xr.DataArray +) -> xr.DataArray: + """Align the dimensions of the test data to the ref data. + + This is useful for situations where label-based arithmetic needs to be + performed using Xarray. + + Parameters + ---------- + da_test : xr.DataArray + The test dataarray. + da_ref : xr.DataArray + The ref dataarray. + + Returns + ------- + xr.DataArray + The test dataarray with dimensions aligned to the ref dataarray. + """ + da_test_new = da_test.copy() + + # NOTE: This logic assumes that prs and tau are in the same order for + # the test and ref variables. If they are not, then this will break or + # perform incorrect arithmetic. + da_test_new = da_test_new.rename( + {dim1: dim2 for dim1, dim2 in zip(da_test.dims, da_ref.dims)} + ) + + return da_test_new diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index e77ad938a..f3706701d 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -23,6 +23,7 @@ from e3sm_diags.derivations.derivations import ( DERIVED_VARIABLES, + FUNC_NEEDS_TARGET_VAR, DerivedVariableMap, DerivedVariablesMap, ) @@ -251,7 +252,7 @@ def _get_global_attr_from_climo_dataset( """ filepath = self._get_climo_filepath(season) - ds = xr.open_dataset(filepath) + ds = self._open_climo_dataset(filepath) attr_val = ds.attrs.get(attr) return attr_val @@ -382,7 +383,7 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: using other datasets. """ filepath = self._get_climo_filepath(season) - ds = xr.open_dataset(filepath, use_cftime=True) + ds = self._open_climo_dataset(filepath) if self.var in ds.variables: pass @@ -398,6 +399,64 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: return ds + def _open_climo_dataset(self, filepath: str) -> xr.Dataset: + """Open a climatology dataset. + + Some climatology files have "time" as a scalar variable. If the scalar + variable is a single integer instead of a 1D array with a length + matching the equivalent dimension size, Xarray will `raise ValueError: + dimension 'time' already exists as a scalar variable`. For this case, + the "time" scalar variable is dropped when opening the dataset. + + If the scalar variable is dropped or climatology file only has a + "time" dimension without coordinates, new "time" coordinates will be + added to the dataset. + + Related issue: https://github.com/pydata/xarray/issues/1709 + + Parameters + ---------- + filepath : str + The path to a climatology dataset. + + Returns + ------- + xr.Dataset + The climatology dataset. + + Raises + ------ + ValueError + Raised for all ValueErrors other than "dimension 'time' already + exists as a scalar variable". + """ + # No need to decode times because the climatology is already calculated. + # Times only need to be decoded if climatology is being calculated + # (time series datasets). + args = {"path": filepath, "decode_times": False, "add_bounds": ["X", "Y"]} + time_coords = xr.DataArray( + name="time", + dims=["time"], + data=[0], + attrs={"axis": "T", "standard_name": "time"}, + ) + + try: + ds = xc.open_dataset(**args) + except ValueError as e: # pragma: no cover + # FIXME: Need to fix the test that covers this code block. + msg = str(e) + + if "dimension 'time' already exists as a scalar variable" in msg: + ds = xc.open_dataset(**args, drop_variables=["time"]) + else: + raise ValueError(msg) + + if "time" not in ds.coords: + ds["time"] = time_coords + + return ds + def _get_climo_filepath(self, season: str) -> str: """Return the path to the climatology file. @@ -571,23 +630,20 @@ def _get_dataset_with_derived_climo_var(self, ds: xr.Dataset) -> xr.Dataset: matching_target_var_map = self._get_matching_climo_src_vars( ds, target_var, target_var_map ) - # Since there's only one set of vars, we get the first and only set - # of vars from the derived variable dictionary. - src_var_keys = list(matching_target_var_map.keys())[0] - - # Get the source variable DataArrays and apply the derivation function. - # Example: - # [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] - src_vars = [] - for var in src_var_keys: - src_vars.append(ds[var]) + # NOTE: Since there's only one set of vars, we get the first and only set + # of vars from the derived variable dictionary. + # 1. Get the derivation function. derivation_func = list(matching_target_var_map.values())[0] - derived_var: xr.DataArray = derivation_func(*src_vars) - # Add the derived variable to the final xr.Dataset object and return it. - ds_final = ds.copy() - ds_final[target_var] = derived_var + # 2. Get the derivation function arguments using source variable keys. + # Example: [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] + src_var_keys = list(matching_target_var_map.keys())[0] + + # 3. Use the derivation function to derive the variable. + ds_final = self._get_dataset_with_derivation_func( + ds, derivation_func, src_var_keys, target_var + ) return ds_final @@ -720,26 +776,70 @@ def _get_dataset_with_derived_ts_var(self) -> xr.Dataset: matching_target_var_map = self._get_matching_time_series_src_vars( self.root_path, target_var_map ) - src_var_keys = list(matching_target_var_map.keys())[0] - # Unlike the climatology dataset, the source variables for - # time series data can be found in multiple datasets so a single - # xr.Dataset object is returned containing all of them. + # NOTE: Since there's only one set of vars, we get the first and only set + # of vars from the derived variable dictionary. + # 1. Get the derivation function. + derivation_func = list(matching_target_var_map.values())[0] + + # 2. Get the derivation function arguments using source variable keys. + # Example: [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] + # Unlike the climatology dataset, the source variables for time series + # data can be found in multiple datasets so a single xr.Dataset object + # is returned containing all of them. + src_var_keys = list(matching_target_var_map.keys())[0] ds = self._get_dataset_with_source_vars(src_var_keys) - # Get the source variable DataArrays. - # Example: - # [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] - src_vars = [ds[var] for var in src_var_keys] + # 3. Use the derivation function to derive the variable. + ds_final = self._get_dataset_with_derivation_func( + ds, derivation_func, src_var_keys, target_var + ) - # Using the source variables, apply the matching derivation function. - derivation_func = list(matching_target_var_map.values())[0] - derived_var: xr.DataArray = derivation_func(*src_vars) + return ds_final - # Add the derived variable to the final xr.Dataset object and return it. - ds[target_var] = derived_var + def _get_dataset_with_derivation_func( + self, + ds: xr.Dataset, + func: Callable, + src_var_keys: Tuple[str, ...], + target_var_key: str, + ) -> xr.Dataset: + """ + Get the dataset with the target variable using the derivation function + and source variables. - return ds + Parameters + ---------- + ds : xr.Dataset + The dataset with source variables used for deriving the target + variable. + func : Callable + The derivation function that uses the source variables to derive + the target variables. + src_var_keys : Tuple[str, ...] + The source variable keys. + target_var_key : str + The target variable key. + + Returns + ------- + xr.Dataset + The dataset with the derived target variable. + """ + func_args = [ds[var].copy() for var in src_var_keys] + + if func in FUNC_NEEDS_TARGET_VAR: + func_args = [target_var_key] + func_args # type: ignore # pragma: nocover + + # Derive the target variable, then align the dataset dimensions to it. + # Dimensional alignment is necessary for cases where the target variable + # has been subsetted (e.g., `cosp_histogram_standardize()`). `xr.align` + # returns both objects and element 0 is the xr.Dataset that is needed. + derived_var = func(*func_args) # pragma: nocover + ds_final = xr.align(ds.copy(), derived_var)[0] + ds_final[target_var_key] = derived_var + + return ds_final def _get_matching_time_series_src_vars( self, path: str, target_var_map: DerivedVariableMap @@ -785,8 +885,8 @@ def _get_matching_time_series_src_vars( return {(self.var,): lambda x: x} raise IOError( - f"Neither does {self.var} nor the variables in {possible_vars} " - f"have valid files in {path}." + f"No files found for target variable {self.var} or derived variables " + f"({possible_vars}) in {path}." ) def _get_dataset_with_source_vars(self, vars_to_get: Tuple[str, ...]) -> xr.Dataset: @@ -811,6 +911,7 @@ def _get_dataset_with_source_vars(self, vars_to_get: Tuple[str, ...]) -> xr.Data datasets.append(ds) ds = xr.merge(datasets) + ds = self._squeeze_time_dim(ds) return ds diff --git a/e3sm_diags/driver/utils/io.py b/e3sm_diags/driver/utils/io.py index 9b559a065..f7e1e16e8 100644 --- a/e3sm_diags/driver/utils/io.py +++ b/e3sm_diags/driver/utils/io.py @@ -3,7 +3,7 @@ import errno import json import os -from typing import Callable +from typing import Callable, Literal import xarray as xr @@ -111,6 +111,61 @@ def _write_vars_to_netcdf( ----- Replaces `e3sm_diags.driver.utils.general.save_ncfiles()`. """ + _write_to_netcdf(parameter, ds_test[var_key], var_key, "test") + + if ds_ref is not None: + _write_to_netcdf(parameter, ds_ref[var_key], var_key, "ref") + + if ds_diff is not None: + _write_to_netcdf(parameter, ds_diff[var_key], var_key, "diff") + + +def _write_to_netcdf( + parameter, + var: xr.DataArray, + var_key: str, + data_type: Literal["test", "ref", "diff"], +): + dir_path = _get_output_dir(parameter) + filename = f"{parameter.output_file}_{data_type}.nc" + + filepath = os.path.join(dir_path, filename) + + var.to_netcdf(filepath) + + logger.info(f"'{var_key}' {data_type} variable output saved in: {filepath}") + + return filename + + +def _write_vars_to_single_netcdf( + parameter: CoreParameter, + var_key, + ds_test: xr.Dataset, + ds_ref: xr.Dataset | None, + ds_diff: xr.Dataset | None, +): + """Saves the test, reference, and difference variables to a single netCDF. + + NOTE: This function is not currently being used because we need to save + individual netCDF files (`_write_vars_to_netcdf()`) to perform regression + testing against the `main` branch, which saves files individually. + + Parameters + ---------- + parameter : CoreParameter + The parameter object used to configure the diagnostic runs for the + sets. The referenced attributes include `save_netcdf, `current_set`, + `var_id`, `ref_name`, and `output_file`, `results_dir`, and `case_id`. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_diff : Optional[xr.DataArray] + The optional dataset containing the difference between the test and + reference variables. + """ dir_path = _get_output_dir(parameter) filename = f"{parameter.output_file}_output.nc" output_file = os.path.join(dir_path, filename) diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index 7b0da9e2c..e87c59176 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -40,7 +40,6 @@ # "tropical_subseasonal", ] - if TYPE_CHECKING: from e3sm_diags.driver.utils.dataset_xr import Dataset diff --git a/e3sm_diags/plot/cartopy/cosp_histogram_plot.py b/e3sm_diags/plot/cosp_histogram_plot.py similarity index 73% rename from e3sm_diags/plot/cartopy/cosp_histogram_plot.py rename to e3sm_diags/plot/cosp_histogram_plot.py index eab7cd328..20bbc0755 100644 --- a/e3sm_diags/plot/cartopy/cosp_histogram_plot.py +++ b/e3sm_diags/plot/cosp_histogram_plot.py @@ -1,12 +1,13 @@ -from __future__ import print_function - import os +from typing import List, Tuple, Union import matplotlib import numpy as np +import xarray as xr from e3sm_diags.driver.utils.general import get_output_dir from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter from e3sm_diags.plot import get_colormap matplotlib.use("Agg") @@ -30,36 +31,118 @@ border = (-0.10, -0.05, 0.13, 0.033) -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, +): + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + _plot_panel( + 0, + da_test, + fig, + parameter, + parameter.contour_levels, + "rainbow", + title=(parameter.test_name_yrs, parameter.test_title, da_test.units), + ) + _plot_panel( + 1, + da_ref, + fig, + parameter, + parameter.contour_levels, + "rainbow", + title=(parameter.ref_name_yrs, parameter.reference_title, da_test.units), + ) + _plot_panel( + 2, + da_diff, + fig, + parameter, + parameter.diff_levels, + parameter.diff_colormap, + title=(parameter.diff_name, parameter.diff_title, da_test.units), + ) -def plot_panel(n, fig, _, var, clevels, cmap, title, parameters, stats=None): + # Figure title + fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) + + # Save figure + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file + "." + f, + ) + plt.savefig(fnm) + # Get the filename that the user has passed in and display that. + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file + "." + f, + ) + logger.info(f"Plot saved in: {fnm}") + + # Save individual subplots + for f in parameter.output_format_subplot: + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file, + ) + page = fig.get_size_inches() + i = 0 + for p in panel: + # Extent of subplot + subpage = np.array(p).reshape(2, 2) + subpage[1, :] = subpage[0, :] + subpage[1, :] + subpage = subpage + np.array(border).reshape(2, 2) + subpage = list(((subpage) * page).flatten()) # type: ignore + extent = matplotlib.transforms.Bbox.from_extents(*subpage) + # Save subplot + fname = fnm + ".%i." % (i) + f + plt.savefig(fname, bbox_inches=extent) + + orig_fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file, + ) + fname = orig_fnm + ".%i." % (i) + f + logger.info(f"Sub-plot saved in: {fname}") + + i += 1 + + plt.close() + + +def _plot_panel( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: CoreParameter, + contour_levels: List[float], + color_map: str, + title: Tuple[Union[str, None], str, str], +): # Contour levels levels = None norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] + if len(contour_levels) > 0: + levels = [-1.0e8] + contour_levels + [1.0e8] norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) # Contour plot - ax = fig.add_axes(panel[n]) + ax = fig.add_axes(panel[subplot_num]) - var.getAxis(1) - var.getAxis(0) - - cmap = get_colormap(cmap, parameters) - p1 = plt.pcolormesh(var, cmap=cmap, norm=norm) + color_map = get_colormap(color_map, parameter) + p1 = plt.pcolormesh(var, cmap=color_map, norm=norm) # Calculate 3 x 3 grids for cloud fraction for nine cloud class # Place cloud fraction of each cloud class in plot: cld_3x3 = np.zeros((3, 3)) for j in range(3): for i in range(3): - if var.id.find("MISR") != -1: + if "MISR" in str(var.name): if j == 0: cld_3x3[j, i] = var[0:6, 2 * i : 2 * i + 2].sum() ax.text( @@ -118,7 +201,7 @@ def plot_panel(n, fig, _, var, clevels, cmap, title, parameters, stats=None): plt.axvline(x=2, linewidth=2, color="k") plt.axvline(x=4, linewidth=2, color="k") - if var.id.find("MISR") != -1: + if "MISR" in str(var.name): plt.axhline(y=6, linewidth=2, color="k") plt.axhline(y=9, linewidth=2, color="k") yticks = [0, 0.5, 1, 1.5, 2, 2.5, 3, 4, 5, 7, 9, 11, 13, 15, 17, 23] @@ -133,29 +216,24 @@ def plot_panel(n, fig, _, var, clevels, cmap, title, parameters, stats=None): ylabels = ["%.1f" % i for i in yticks] ax.set_yticklabels(ylabels) ax.set_ylabel("Cloud Top Pressure (mb)") + xticks = [0.3, 1.3, 3.6, 9.4, 23, 60, 379] xlabels = ["%.1f" % i for i in xticks] ax.set_xticklabels(xlabels) ax.set_xlabel("Cloud Optical Thickness") - # xlabels = ['%.1f' %i for i in x.getBounds()[:,0]]+['%.1f' %x.getBounds()[-1,-1]] - # ylabels = ['%.1f' %i for i in y.getBounds()[:,0]]+['%.1f' %y.getBounds()[-1,-1]] - - # ax.set_xticklabels(xlabels) - # ax.set_yticklabels(ylabels) if title[0] is not None: ax.set_title(title[0], loc="left", fontdict=plotSideTitle) if title[1] is not None: ax.set_title(title[1], fontdict=plotTitle) - # ax.set_title('cloud frac: %.1f'%total_cf+'%', loc='right', fontdict=plotSideTitle) + ax.set_title("%", loc="right", fontdict=plotSideTitle) - # if title[2] != None: ax.set_title(title[2], loc='right', fontdict=plotSideTitle) - # ax.set_ylabel('Cloud Top Height (km)') # Color bar - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0215, 0.0326, 0.1792)) + cbax = fig.add_axes( + (panel[subplot_num][0] + 0.6635, panel[subplot_num][1] + 0.0215, 0.0326, 0.1792) + ) cbar = fig.colorbar(p1, cax=cbax, extend="both") - w, h = get_ax_size(fig, cbax) if levels is None: cbar.ax.tick_params(labelsize=9.0, length=0) @@ -164,104 +242,4 @@ def plot_panel(n, fig, _, var, clevels, cmap, title, parameters, stats=None): cbar.set_ticks(levels[1:-1]) labels = ["%4.1f" % level for level in levels[1:-1]] cbar.ax.set_yticklabels(labels, ha="right") - # cbar.ax.set_yticklabels(labels,ha='right') cbar.ax.tick_params(labelsize=9.0, pad=25, length=0) - - -def plot(reference, test, diff, _, parameter): - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - - plot_panel( - 0, - fig, - _, - test, - parameter.contour_levels, - "rainbow", - (parameter.test_name_yrs, parameter.test_title, test.units), - parameter, - ) - plot_panel( - 1, - fig, - _, - reference, - parameter.contour_levels, - "rainbow", - (parameter.ref_name_yrs, parameter.reference_title, test.units), - parameter, - ) - plot_panel( - 2, - fig, - _, - diff, - parameter.diff_levels, - parameter.diff_colormap, - (parameter.diff_name, parameter.diff_title, test.units), - parameter, - ) - - # min2 = metrics_dict['ref']['min'] - # mean2 = metrics_dict['ref']['mean'] - # max2 = metrics_dict['ref']['max'] - # plot_panel(1, fig, proj, reference, parameter.contour_levels, 'viridis', - # (parameter.reference_name,parameter.reference_title,reference.units),stats=(max2,mean2,min2)) - # - # # Third panel - # min3 = metrics_dict['diff']['min'] - # mean3 = metrics_dict['diff']['mean'] - # max3 = metrics_dict['diff']['max'] - # r = metrics_dict['misc']['rmse'] - # c = metrics_dict['misc']['corr'] - # plot_panel(2, fig, proj, diff, parameter.diff_levels, 'RdBu_r', (None,parameter.diff_title,None), stats=(max3,mean3,min3,r,c)) - # - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/lat_lon_plot.py b/e3sm_diags/plot/lat_lon_plot.py index a6b8a0da0..05dda58a3 100644 --- a/e3sm_diags/plot/lat_lon_plot.py +++ b/e3sm_diags/plot/lat_lon_plot.py @@ -36,8 +36,9 @@ def plot( The test data. da_ref : xr.DataArray | None The optional reference data. - ds_diff : xr.DataArray | None - The difference between ``ds_test_regrid`` and ``ds_ref_regrid``. + da_diff : xr.DataArray | None + The difference between `da_test` and `da_ref` (both are gridded to + the lower resolution of the two beforehand). metrics_dict : Metrics The metrics. """ diff --git a/tests/e3sm_diags/derivations/test_formulas_cosp.py b/tests/e3sm_diags/derivations/test_formulas_cosp.py new file mode 100644 index 000000000..bb2f4c71c --- /dev/null +++ b/tests/e3sm_diags/derivations/test_formulas_cosp.py @@ -0,0 +1,758 @@ +import numpy as np +import pytest +import xarray as xr + +from e3sm_diags.derivations.formulas_cosp import ( + cosp_bin_sum, + cosp_histogram_standardize, +) + + +class TestCospHistogramStandardize: + @pytest.fixture(autouse=True) + def setup(self): + self.target_var_key = "CLDTOT_TAU1.3_MISR" + self.ds = xr.Dataset( + data_vars={ + "cld_var_dummy": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0, 1.0, 1.0, 1.0], + [2.0, 2.0, 2.0, 2.0, 2.0, 2.0], + [3.0, 3.0, 3.0, 3.0, 3.0, 3.0], + [4.0, 4.0, 4.0, 4.0, 4.0, 4.0], + [5.0, 5.0, 5.0, 5.0, 5.0, 5.0], + [6.0, 6.0, 6.0, 6.0, 6.0, 6.0], + [7.0, 7.0, 7.0, 7.0, 7.0, 7.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + "cosp_htmisr_bnds": xr.DataArray( + data=np.array( + [ + [-1.0, 0.0], + [0.0, 1.0], + [0.5, 1.5], + [1.5, 2.5], + [2.5, 3.5], + [3.5, 4.5], + [4.5, 5.5], + ] + ), + dims=["cosp_htmisr", "bnds"], + ), + "cosp_tau_bnds": xr.DataArray( + data=np.array( + [ + [-1.0, 0.0], + [0.0, 1.0], + [0.5, 1.5], + [1.5, 2.5], + [2.5, 3.5], + [3.5, 4.5], + ] + ), + dims=["cosp_tau", "bnds"], + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([-0.5, 0.5, 1, 2, 3, 4, 5]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([0.0, 0.5, 1, 2, 3, 4]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + def test_raises_error_if_dataset_is_missing_prs_or_tau_axis(self): + ds1 = self.ds.copy() + ds1 = ds1.rename({"cld_var_dummy": "CLD_MISR", "cosp_htmisr": "invalid_name"}) + + with pytest.raises(KeyError): + cosp_histogram_standardize(self.target_var_key, ds1["CLD_MISR"]) + + ds2 = self.ds.copy() + ds2 = ds2.rename({"cld_var_dummy": "CLD_MISR", "cosp_tau": "invalid_name"}) + + with pytest.raises(KeyError): + cosp_histogram_standardize(self.target_var_key, ds2["CLD_MISR"]) + + @pytest.mark.parametrize("var_key", ("CLD_MISR", "CLMISR")) + def test_standardizes_cld_misr_and_clmisr(self, var_key): + ds = self.ds.copy() + + ds = ds.rename({"cld_var_dummy": var_key}) + + result = cosp_histogram_standardize(self.target_var_key, ds[var_key]) + expected = xr.DataArray( + name=self.target_var_key, + data=np.array( + [ + [2.0, 2.0, 2.0, 2.0, 2.0], + [3.0, 3.0, 3.0, 3.0, 3.0], + [4.0, 4.0, 4.0, 4.0, 4.0], + [5.0, 5.0, 5.0, 5.0, 5.0], + [6.0, 6.0, 6.0, 6.0, 6.0], + [7.0, 7.0, 7.0, 7.0, 7.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0.5, 1, 2, 3, 4, 5]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([0.5, 1, 2, 3, 4]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + attrs={"test_attr": "test"}, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_sum_with_cld_misr_with_unit_adjustment(self): + target_var_key = "CLDLOW_TAU1.3_MISR" + + ds1 = xr.Dataset( + data_vars={ + "CLD_MISR": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0, 1, 2000]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result = cosp_histogram_standardize(target_var_key, ds1["CLD_MISR"]) + + expected = xr.DataArray( + name=target_var_key, + data=np.array( + [[2.0, 2.0], [3.0, 3.0]], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([1, 2000]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + attrs={"test_attr": "test"}, + ) + + xr.testing.assert_identical(result, expected) + + @pytest.mark.xfail + @pytest.mark.parametrize("var_key", ("CLD_MISR", "CLMISR")) + def test_standardizes_cld_misr_and_cldmisr_and_adds_default_bnds_if_bnds_are_missing( + self, var_key + ): + # TODO: Update this test if missing bounds are dynamically generated. + ds = self.ds.copy() + ds = ds.drop_vars(["cosp_htmisr_bnds", "cosp_tau_bnds"]) + + # Rename the cloud variable placeholder to the variable to be tested. + ds = ds.rename({"cld_var_dummy": var_key}) + result = cosp_histogram_standardize(self.target_var_key, ds[var_key]) + + expected = xr.DataArray( + name=self.target_var_key, + data=np.array( + [ + [2.0, 2.0, 2.0, 2.0, 2.0], + [3.0, 3.0, 3.0, 3.0, 3.0], + [4.0, 4.0, 4.0, 4.0, 4.0], + [5.0, 5.0, 5.0, 5.0, 5.0], + [6.0, 6.0, 6.0, 6.0, 6.0], + [7.0, 7.0, 7.0, 7.0, 7.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0.5, 1, 2, 3, 4, 5]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([0.5, 1, 2, 3, 4]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + attrs={"test_attr": "test"}, + ) + + xr.testing.assert_identical(result, expected) + + @pytest.mark.parametrize("var_key", ("FISCCP1_COSP", "CLISCCP", "CLMODIS")) + def test_standardizes_fisccp1_cosp_clisccp_and_clmodis(self, var_key): + ds = self.ds.copy() + + # Rename the cloud variable placeholder to the variable to be tested + # and also rename the "cosp_tau" dimension to test other dimension keys. + ds = ds.rename({"cld_var_dummy": var_key}) + result = cosp_histogram_standardize(self.target_var_key, ds[var_key]) + expected = xr.DataArray( + name=self.target_var_key, + data=np.array( + [ + [1.0, 1.0, 1.0, 1.0, 1.0], + [2.0, 2.0, 2.0, 2.0, 2.0], + [3.0, 3.0, 3.0, 3.0, 3.0], + [4.0, 4.0, 4.0, 4.0, 4.0], + [5.0, 5.0, 5.0, 5.0, 5.0], + [6.0, 6.0, 6.0, 6.0, 6.0], + [7.0, 7.0, 7.0, 7.0, 7.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([-0.5, 0.5, 1, 2, 3, 4, 5]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([0.5, 1, 2, 3, 4]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + attrs={"test_attr": "test"}, + ) + + xr.testing.assert_identical(result, expected) + + +class TestCospBinSum: + @pytest.fixture(autouse=True) + def setup(self): + self.ds = xr.Dataset( + data_vars={ + "cld_var_dummy": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([-0.5, 0.5, 1]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([0.0, 0.5, 1]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + def test_raises_error_if_dataset_is_missing_prs_or_tau_axis(self): + target_var_key = "CLDTOT_TAU1.3_MISR" + + ds1 = self.ds.copy() + ds1 = ds1.rename({"cosp_htmisr": "invalid_name"}) + + with pytest.raises(KeyError): + cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + ds2 = self.ds.copy() + ds2 = ds2.rename({"cosp_tau": "invalid_name"}) + + with pytest.raises(KeyError): + cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + def test_returns_sum(self): + target_var_key = "CLDTOT_TAU1.3_MISR" + + ds1 = self.ds.copy() + ds1 = ds1.rename({"cld_var_dummy": "CLD_MISR"}) + + result = cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + expected = xr.DataArray( + name="CLD_MISR", + data=np.array(0.0), + attrs={"long_name": "MISR: total cloud fraction with tau > 1.3"}, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_sum_using_prs_subset(self): + target_var_key = "CLDLOW_TAU1.3_MISR" + + ds1 = xr.Dataset( + data_vars={ + "CLD_MISR": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0, 1, 2]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result = cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + expected = xr.DataArray( + name="CLD_MISR", + data=np.array(12), + attrs={"long_name": "MISR: low cloud fraction with tau > 1.3"}, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_sum_using_prs_subset_with_unit_adjustment(self): + target_var_key = "CLDLOW_TAU1.3_MISR" + + ds1 = xr.Dataset( + data_vars={ + "CLD_MISR": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0, 1, 2000]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result = cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + expected = xr.DataArray( + name="CLD_MISR", + data=np.array(12), + attrs={"long_name": "MISR: low cloud fraction with tau > 1.3"}, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_sum_using_tau_subset_with_adjusted_min_and_max(self): + target_var_key = "CLDTOT_TAU1.3_9.4_ISCCP" + + ds1 = xr.Dataset( + data_vars={ + "CLD_MISR": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0, 1, 2]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 10.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result = cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + expected = xr.DataArray( + name="CLD_MISR", + data=np.array(6), + attrs={"long_name": "MISR: total cloud fraction with 1.3 < tau < 9.4"}, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_sum_using_tau_subset_with_adjusted_min_only(self): + target_var_key = "CLDTOT_TAU1.3_ISCCP" + + ds1 = xr.Dataset( + data_vars={ + "CLD_MISR": xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=np.array([0, 1, 2]), + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result = cosp_bin_sum(target_var_key, ds1["CLD_MISR"]) + + expected = xr.DataArray( + name="CLD_MISR", + data=np.array(12), + attrs={"long_name": "MISR: total cloud fraction with tau > 1.3"}, + ) + + xr.testing.assert_identical(result, expected) + + @pytest.mark.parametrize( + "var_key,expected", + [ + ("FISCCP1_COSP", "ISCCP: total cloud fraction with tau > 1.3"), + ( + "CLMODIS", + "MODIS: total cloud fraction with tau > 1.3", + ), + ("CLD_MISR", "MISR: total cloud fraction with tau > 1.3"), + ], + ) + def test_sets_variable_long_name_attr_if_matching_simulation_and_cloud_levels_are_set( + self, var_key, expected + ): + target_var_key = "CLDTOT_TAU1.3_MODIS" + + ds1 = self.ds.copy() + ds1 = ds1.rename({"cld_var_dummy": var_key}) + + result_var = cosp_bin_sum(target_var_key, ds1[var_key]) + result = result_var.attrs["long_name"] + assert result == expected + + @pytest.mark.parametrize( + "var_key,expected,prs_axis_data", + [ + ( + "CLMODIS", + "MODIS: middle cloud fraction with tau > 1.3", + np.array([440, 500, 680]), + ), + ( + "CLD_MISR", + "MISR: middle cloud fraction with tau > 1.3", + np.array([7, 5, 3]), + ), + ], + ) + def test_sets_variable_long_name_attr_with_middle_cloud_fraction( + self, var_key, expected, prs_axis_data + ): + # Min in low_bnds and max in high_bnds + target_var_key = "CLDTOT_TAU1.3_MODIS" + + ds1 = xr.Dataset( + data_vars={ + var_key: xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=prs_axis_data, + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result_var = cosp_bin_sum(target_var_key, ds1[var_key]) + result = result_var.attrs["long_name"] + assert result == expected + + @pytest.mark.parametrize( + "var_key,expected,prs_axis_data", + [ + ( + "CLMODIS", + "MODIS: high cloud fraction with tau > 1.3", + np.array([440, 500, 600]), + ), + ( + "CLD_MISR", + "MISR: high cloud fraction with tau > 1.3", + np.array([7, 5, 6]), + ), + ], + ) + def test_sets_variable_long_name_attr_with_high_cloud_fraction( + self, var_key, expected, prs_axis_data + ): + target_var_key = "CLDTOT_TAU1.3_MODIS" + + ds1 = xr.Dataset( + data_vars={ + var_key: xr.DataArray( + data=np.array( + [ + [1.0, 1.0, 1.0], + [2.0, 2.0, 2.0], + [3.0, 3.0, 3.0], + ], + dtype="float64", + ), + dims=["cosp_htmisr", "cosp_tau"], + attrs={"test_attr": "test"}, + ), + }, + coords={ + "cosp_htmisr": xr.DataArray( + data=prs_axis_data, + dims=["cosp_htmisr"], + attrs={ + "bounds": "cosp_htmisr_bnds", + "units": "km", + "long_name": "COSP MISR height", + "realtopology": "linear", + }, + ), + "cosp_tau": xr.DataArray( + data=np.array([-0.5, 1.5, 2.0]), + dims=["cosp_tau"], + attrs={ + "bounds": "cosp_tau_bnds", + "units": "1", + "long_name": "COSP MEAN ISCCP optional depth", + "realtopology": "linear", + }, + ), + }, + ) + + result_var = cosp_bin_sum(target_var_key, ds1[var_key]) + result = result_var.attrs["long_name"] + assert result == expected diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 75eed59e7..4b112161e 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -16,6 +16,44 @@ ) from e3sm_diags.parameter.core_parameter import CoreParameter +# Reusable spatial coords dictionary for composing an xr.Dataest. +spatial_coords = { + "lat": xr.DataArray( + dims="lat", + data=np.array([-90.0, 90]), + attrs={ + "axis": "Y", + "long_name": "latitude", + "standard_name": "latitude", + "bounds": "lat_bnds", + }, + ), + "lon": xr.DataArray( + dims="lon", + data=np.array([0.0, 180]), + attrs={ + "axis": "X", + "long_name": "longitude", + "standard_name": "longitude", + "bounds": "lon_bnds", + }, + ), +} + +# Reusable spatial bounds dictionary for composing an xr.Dataest. +spatial_bounds = { + "lat_bnds": xr.DataArray( + name="lat_bnds", + data=[[-90.0, 0.0], [0.0, 90.0]], + dims=["lat", "bnds"], + ), + "lon_bnds": xr.DataArray( + name="lat_bnds", + data=[[-90.0, 90.0], [90, 270]], + dims=["lon", "bnds"], + ), +} + def _create_parameter_object( dataset_type: Literal["ref", "test"], @@ -216,11 +254,9 @@ def setup(self, tmp_path): self.data_path.mkdir() # Set up climatology dataset and save to a temp file. - # TODO: Update this to an actual climatology dataset structure self.ds_climo = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -240,6 +276,7 @@ def setup(self, tmp_path): ), }, data_vars={ + **spatial_bounds, "ts": xr.DataArray( name="ts", data=np.array( @@ -248,7 +285,7 @@ def setup(self, tmp_path): ] ), dims=["time", "lat", "lon"], - ) + ), }, ) self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} @@ -390,12 +427,46 @@ def setup(self, tmp_path): self.data_path = tmp_path / "input_data" self.data_path.mkdir() + self.spatial_coords = { + "lat": xr.DataArray( + dims="lat", + data=np.array([-90.0, 90]), + attrs={ + "axis": "Y", + "long_name": "latitude", + "standard_name": "latitude", + "bounds": "lat_bnds", + }, + ), + "lon": xr.DataArray( + dims="lon", + data=np.array([0.0, 180]), + attrs={ + "axis": "X", + "long_name": "longitude", + "standard_name": "longitude", + "bounds": "lon_bnds", + }, + ), + } + self.spatial_bounds = { + "lat_bnds": xr.DataArray( + name="lat_bnds", + data=[[-90.0, 0.0], [0.0, 90.0]], + dims=["lat", "bnds"], + ), + "lon_bnds": xr.DataArray( + name="lat_bnds", + data=[[-90.0, 90.0], [90, 270]], + dims=["lon", "bnds"], + ), + } + # Set up climatology dataset and save to a temp file. # TODO: Update this to an actual climatology dataset structure self.ds_climo = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -415,6 +486,7 @@ def setup(self, tmp_path): ), }, data_vars={ + **spatial_bounds, "ts": xr.DataArray( name="ts", data=np.array( @@ -423,7 +495,7 @@ def setup(self, tmp_path): ] ), dims=["time", "lat", "lon"], - ) + ), }, ) self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} @@ -431,8 +503,7 @@ def setup(self, tmp_path): # Set up time series dataset and save to a temp file. self.ds_ts = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -573,9 +644,7 @@ def test_returns_climo_dataset_using_test_file_variable(self): xr.testing.assert_identical(result, expected) - def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season( - self, - ): + def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season(self): # Example: {test_data_path}/{test_name}_{season}.nc parameter = _create_parameter_object( "ref", "climo", self.data_path, "2000", "2001" @@ -589,9 +658,7 @@ def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season( xr.testing.assert_identical(result, expected) - def test_returns_climo_dataset_using_test_file_variable_test_name_and_season( - self, - ): + def test_returns_climo_dataset_using_test_file_variable_test_name_and_season(self): # Example: {test_data_path}/{test_name}_{season}.nc parameter = _create_parameter_object( "test", "climo", self.data_path, "2000", "2001" @@ -651,8 +718,7 @@ def test_returns_climo_dataset_with_derived_variable(self): # We will derive the "PRECT" variable using the "pr" variable. ds_pr = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -672,6 +738,7 @@ def test_returns_climo_dataset_with_derived_variable(self): ), }, data_vars={ + **spatial_bounds, "pr": xr.DataArray( xr.DataArray( data=np.array( @@ -702,11 +769,56 @@ def test_returns_climo_dataset_with_derived_variable(self): xr.testing.assert_identical(result, expected) + @pytest.mark.xfail + def test_returns_climo_dataset_using_derived_var_directly_from_dataset_and_replaces_scalar_time_var( + self, + ): + # FIXME: This test needs to cover `except` block in `_open_dataset()`. + # The issue is that we can't create a dummy dataset with an incorrect + # time scalar variable using Xarray because it just throws the error + # below. We might need to use another library like netCDF4 to create + # a dummy dataset. + ds_precst = xr.Dataset( + coords={ + **spatial_coords, + }, + data_vars={ + **spatial_bounds, + "time": xr.DataArray( + dims="time", + data=0, + ), + "PRECST": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ), + }, + ) + + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "pr_200001_200112.nc" + ds_precst.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_climo_dataset("PRECST", season="ANN") + expected = ds_precst.squeeze(dim="time").drop_vars("time") + + xr.testing.assert_identical(result, expected) + def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): ds_precst = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -726,6 +838,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): ), }, data_vars={ + **spatial_bounds, "PRECST": xr.DataArray( xr.DataArray( data=np.array( @@ -756,8 +869,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): def test_returns_climo_dataset_using_source_variable_with_wildcard(self): ds_precst = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -777,6 +889,7 @@ def test_returns_climo_dataset_using_source_variable_with_wildcard(self): ), }, data_vars={ + **spatial_bounds, "bc_a?DDF": xr.DataArray( xr.DataArray( data=np.array( @@ -879,8 +992,7 @@ def test_raises_error_if_dataset_has_no_matching_source_variables_to_derive_vari def test_raises_error_if_no_datasets_found_to_derive_variable(self): ds_precst = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -900,6 +1012,7 @@ def test_raises_error_if_no_datasets_found_to_derive_variable(self): ), }, data_vars={ + **spatial_bounds, "invalid": xr.DataArray( xr.DataArray( data=np.array( @@ -1327,10 +1440,10 @@ def setup(self, tmp_path): self.data_path = tmp_path / "input_data" self.data_path.mkdir() # Set up climatology dataset and save to a temp file. + self.ds_climo = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -1350,6 +1463,7 @@ def setup(self, tmp_path): ), }, data_vars={ + **spatial_bounds, "ts": xr.DataArray( name="ts", data=np.array( @@ -1358,7 +1472,7 @@ def setup(self, tmp_path): ] ), dims=["time", "lat", "lon"], - ) + ), }, ) self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} @@ -1580,3 +1694,4 @@ def test_returns_test_name_and_years_averaged_as_single_string_with_timeseries_d expected = "short_test_name (1800-1850)" assert result == expected + assert result == expected diff --git a/tests/e3sm_diags/driver/utils/test_io.py b/tests/e3sm_diags/driver/utils/test_io.py index 067393910..85ebea828 100644 --- a/tests/e3sm_diags/driver/utils/test_io.py +++ b/tests/e3sm_diags/driver/utils/test_io.py @@ -6,7 +6,11 @@ import pytest import xarray as xr -from e3sm_diags.driver.utils.io import _get_output_dir, _write_vars_to_netcdf +from e3sm_diags.driver.utils.io import ( + _get_output_dir, + _write_vars_to_netcdf, + _write_vars_to_single_netcdf, +) from e3sm_diags.parameter.core_parameter import CoreParameter @@ -40,11 +44,62 @@ def setup(self, tmp_path: Path): ) self.ds_diff = self.ds_test - self.ds_ref + def test_writes_test_ref_and_diff_variables_to_files(self, caplog): + # Silence info logger message about saving to a directory. + caplog.set_level(logging.CRITICAL) + + _write_vars_to_netcdf( + self.param, self.var_key, self.ds_test, self.ds_ref, self.ds_diff + ) + + test_result = xr.open_dataset(f"{self.dir}/{self.var_key}_test.nc") + test_expected = self.ds_test.copy() + xr.testing.assert_identical(test_result, test_expected) + + ref_result = xr.open_dataset(f"{self.dir}/{self.var_key}_ref.nc") + ref_expected = self.ds_ref.copy() + xr.testing.assert_identical(ref_result, ref_expected) + + diff_result = xr.open_dataset(f"{self.dir}/{self.var_key}_diff.nc") + diff_expected = self.ds_diff.copy() + xr.testing.assert_identical(diff_result, diff_expected) + + +class TestWriteVarsToSingleNetcdf: + @pytest.fixture(autouse=True) + def setup(self, tmp_path: Path): + self.param = CoreParameter() + self.var_key = "ts" + + # Need to prepend with tmp_path because we use pytest to create temp + # dirs for storing files temporarily for the test runs. + self.param.results_dir = f"{tmp_path}/results_dir" + self.param.current_set = "lat_lon" + self.param.case_id = "lat_lon_MERRA" + self.param.output_file = "ts" + + # Create the results directory, which uses the CoreParameter attributes. + # Example: "///_test.nc>" + self.dir = ( + tmp_path / "results_dir" / self.param.current_set / self.param.case_id + ) + self.dir.mkdir(parents=True) + + # Input variables for the function + self.var_key = "ts" + self.ds_test = xr.Dataset( + data_vars={"ts": xr.DataArray(name="ts", data=[1, 1, 1])} + ) + self.ds_ref = xr.Dataset( + data_vars={"ts": xr.DataArray(name="ts", data=[2, 2, 2])} + ) + self.ds_diff = self.ds_test - self.ds_ref + def test_writes_test_variable_to_file(self, caplog): # Silence info logger message about saving to a directory. caplog.set_level(logging.CRITICAL) - _write_vars_to_netcdf(self.param, self.var_key, self.ds_test, None, None) + _write_vars_to_single_netcdf(self.param, self.var_key, self.ds_test, None, None) expected = self.ds_test.copy() expected = expected.rename_vars({"ts": "ts_test"}) @@ -56,7 +111,7 @@ def test_writes_ref_and_diff_variables_to_file(self, caplog): # Silence info logger message about saving to a directory. caplog.set_level(logging.CRITICAL) - _write_vars_to_netcdf( + _write_vars_to_single_netcdf( self.param, self.var_key, self.ds_test, self.ds_ref, self.ds_diff ) From 8c5c447c3b047893de818adcfdf17a4007ae41f5 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Wed, 14 Feb 2024 14:06:06 -0800 Subject: [PATCH 07/41] CDAT Migration Phase 2: Refactor `zonal_mean_2d()` and `zonal_mean_2d_stratosphere()` sets (#774) --- .vscode/e3sm_diags.code-workspace | 2 +- ...zonal_mean_2d_regression_test_netcdf.ipynb | 520 +++++++++++++++ .../655_zonal_mean_2d_run_script.py | 6 + ..._stratosphere_regression_test_netcdf.ipynb | 556 ++++++++++++++++ ...5_zonal_mean_2d_stratosphere_run_script.py | 6 + e3sm_diags/driver/utils/dataset_xr.py | 6 +- e3sm_diags/driver/utils/regrid.py | 22 +- e3sm_diags/driver/zonal_mean_2d_driver.py | 518 +++++++-------- .../zonal_mean_2d_stratosphere_driver.py | 13 +- e3sm_diags/metrics/metrics.py | 168 +++-- e3sm_diags/parameter/core_parameter.py | 10 + .../parameter/zonal_mean_2d_parameter.py | 8 +- .../zonal_mean_2d_stratosphere_parameter.py | 8 +- e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py | 414 +++++------- .../zonal_mean_2d_stratosphere_plot.py | 14 +- e3sm_diags/plot/lat_lon_plot.py | 138 +++- e3sm_diags/plot/utils.py | 599 +++++++++++------- .../driver/utils/test_dataset_xr.py | 20 +- tests/e3sm_diags/driver/utils/test_regrid.py | 6 +- tests/e3sm_diags/fixtures.py | 1 + tests/e3sm_diags/metrics/test_metrics.py | 55 +- 21 files changed, 2277 insertions(+), 813 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_run_script.py diff --git a/.vscode/e3sm_diags.code-workspace b/.vscode/e3sm_diags.code-workspace index c7d968567..7cf614852 100644 --- a/.vscode/e3sm_diags.code-workspace +++ b/.vscode/e3sm_diags.code-workspace @@ -58,7 +58,7 @@ "configurations": [ { "name": "Python: Current File", - "type": "python", + "type": "debugpy", "request": "launch", "program": "${file}", "console": "integratedTerminal", diff --git a/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_regression_test_netcdf.ipynb new file mode 100644 index 000000000..4157e1d8a --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_regression_test_netcdf.ipynb @@ -0,0 +1,520 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"zonal_mean_2d\"\n", + "SET_DIR = \"655-zonal-mean-2d\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "dev_num_files = len(DEV_GLOB)\n", + "main_num_files = len(MAIN_GLOB)\n", + "if dev_num_files != main_num_files:\n", + " raise IOError(\n", + " f\"Number of files do not match at DEV_PATH ({dev_num_files}) and MAIN_PATH ({main_num_files}).\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_var_to_filepath_map():\n", + " var_to_file = defaultdict(lambda: defaultdict(lambda: defaultdict(dict)))\n", + "\n", + " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", + " if \"relative difference\" in dev_file:\n", + " continue\n", + "\n", + " # Example:\n", + " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", + " file_arr = dev_file.split(\"/\")\n", + "\n", + " # Example: \"test\"\n", + " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", + "\n", + " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", + " # does not make sense.\n", + " if data_type == \"test\" or data_type == \"ref\":\n", + " # Example: [ERA5, OMEGA, ANN, global_ref.nc]\n", + " filename = file_arr[-1].split(\"-\")\n", + " # Example: ERA5\n", + " model = filename[0]\n", + " # Example: OMEGA\n", + " var_key = filename[1]\n", + "\n", + " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "\n", + " var_to_file[model][var_key][data_type][season] = (dev_file, main_file)\n", + "\n", + " return var_to_file\n", + "\n", + "\n", + "def _get_relative_diffs(var_to_filepath):\n", + " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for _, var_keys in var_to_filepath.items():\n", + " for var_key, data_types in var_keys.items():\n", + " for _, seasons in data_types.items():\n", + " for _, filepaths in seasons.items():\n", + " print(\"Comparing:\")\n", + " print(filepaths[0], \"\\n\", filepaths[1])\n", + " ds1 = xr.open_dataset(filepaths[0])\n", + " ds2 = xr.open_dataset(filepaths[1])\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "var_to_filepaths = _get_var_to_filepath_map()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "defaultdict(.()>,\n", + " {'ERA5': defaultdict(...()>,\n", + " {'OMEGA': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc')}}),\n", + " 'Q': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc')}}),\n", + " 'RELHUM': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc')}}),\n", + " 'T': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc')}}),\n", + " 'U': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc')}})}),\n", + " 'MERRA2': defaultdict(...()>,\n", + " {'OMEGA': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc')}}),\n", + " 'Q': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc')}}),\n", + " 'RELHUM': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc')}}),\n", + " 'T': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc')}}),\n", + " 'U': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc')}})})})" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var_to_filepaths" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 3 / 3600 (0.0833%)\n", + "Max absolute difference: 6.00982503e-06\n", + "Max relative difference: 2.63548592e-05\n", + " x: array([[-0.224216, -0.225982, -0.230203, ..., -0.535621, -0.538314,\n", + " -0.539618],\n", + " [-0.291696, -0.292976, -0.298023, ..., -0.461387, -0.462255,...\n", + " y: array([[-0.224216, -0.225982, -0.230203, ..., -0.535621, -0.538314,\n", + " -0.539618],\n", + " [-0.291696, -0.292976, -0.298023, ..., -0.461387, -0.462255,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 3600 (0.0278%)\n", + "Max absolute difference: 4.69767184e-06\n", + "Max relative difference: 1.44081722e-05\n", + " x: array([[-3.842963e-02, -3.952561e-02, -4.294728e-02, ..., -6.250532e-02,\n", + " -6.345372e-02, -6.394634e-02],\n", + " [-2.693705e-01, -2.642957e-01, -2.585470e-01, ..., -7.585498e-04,...\n", + " y: array([[-3.842963e-02, -3.952561e-02, -4.294728e-02, ..., -6.250532e-02,\n", + " -6.345372e-02, -6.394633e-02],\n", + " [-2.693705e-01, -2.642957e-01, -2.585470e-01, ..., -7.585498e-04,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 3 / 3600 (0.0833%)\n", + "Max absolute difference: 6.00982503e-06\n", + "Max relative difference: 2.63548592e-05\n", + " x: array([[-0.224216, -0.225982, -0.230203, ..., -0.535621, -0.538314,\n", + " -0.539618],\n", + " [-0.291696, -0.292976, -0.298023, ..., -0.461387, -0.462255,...\n", + " y: array([[-0.224216, -0.225982, -0.230203, ..., -0.535621, -0.538314,\n", + " -0.539618],\n", + " [-0.291696, -0.292976, -0.298023, ..., -0.461387, -0.462255,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 3600 (0.0278%)\n", + "Max absolute difference: 4.69767184e-06\n", + "Max relative difference: 1.44081722e-05\n", + " x: array([[-3.842963e-02, -3.952561e-02, -4.294728e-02, ..., -6.250532e-02,\n", + " -6.345372e-02, -6.394634e-02],\n", + " [-2.693705e-01, -2.642957e-01, -2.585470e-01, ..., -7.585498e-04,...\n", + " y: array([[-3.842963e-02, -3.952561e-02, -4.294728e-02, ..., -6.250532e-02,\n", + " -6.345372e-02, -6.394633e-02],\n", + " [-2.693705e-01, -2.642957e-01, -2.585470e-01, ..., -7.585498e-04,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs(var_to_filepaths)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All datasets are <= relative tolerance of 1e-5, with only 1 to 3 elements mismatching.\n", + "\n", + "This gives me great confidence that the changes are good to go.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_run_script.py b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_run_script.py new file mode 100644 index 000000000..704720997 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_run_script.py @@ -0,0 +1,6 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "zonal_mean_2d" +SET_DIR = "655-zonal-mean-2d" + +run_set(SET_NAME, SET_DIR) diff --git a/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_regression_test_netcdf.ipynb new file mode 100644 index 000000000..522f24a56 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_regression_test_netcdf.ipynb @@ -0,0 +1,556 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"zonal_mean_2d_stratosphere\"\n", + "SET_DIR = \"655-zonal-mean-2d-stratosphere\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "dev_num_files = len(DEV_GLOB)\n", + "main_num_files = len(MAIN_GLOB)\n", + "if dev_num_files != main_num_files:\n", + " raise IOError(\n", + " f\"Number of files do not match at DEV_PATH ({dev_num_files}) and MAIN_PATH ({main_num_files}).\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_var_to_filepath_map():\n", + " var_to_file = defaultdict(lambda: defaultdict(lambda: defaultdict(dict)))\n", + "\n", + " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", + " if \"relative difference\" in dev_file:\n", + " continue\n", + "\n", + " # Example:\n", + " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", + " file_arr = dev_file.split(\"/\")\n", + "\n", + " # Example: \"test\"\n", + " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", + "\n", + " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", + " # does not make sense.\n", + " if data_type == \"test\" or data_type == \"ref\":\n", + " # Example: [ERA5, OMEGA, ANN, global_ref.nc]\n", + " filename = file_arr[-1].split(\"-\")\n", + " # Example: ERA5\n", + " model = filename[0]\n", + " # Example: OMEGA\n", + " var_key = filename[1]\n", + "\n", + " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "\n", + " var_to_file[model][var_key][data_type][season] = (dev_file, main_file)\n", + "\n", + " return var_to_file\n", + "\n", + "\n", + "def _get_relative_diffs(var_to_filepath):\n", + " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for _, var_keys in var_to_filepath.items():\n", + " for var_key, data_types in var_keys.items():\n", + " for _, seasons in data_types.items():\n", + " for _, filepaths in seasons.items():\n", + " print(\"Comparing:\")\n", + " print(filepaths[0], \"\\n\", filepaths[1])\n", + " ds1 = xr.open_dataset(filepaths[0])\n", + " ds2 = xr.open_dataset(filepaths[1])\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "var_to_filepaths = _get_var_to_filepath_map()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "defaultdict(.()>,\n", + " {'ERA5': defaultdict(...()>,\n", + " {'OMEGA': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc')}}),\n", + " 'Q': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc')}}),\n", + " 'RELHUM': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc')}}),\n", + " 'T': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc')}}),\n", + " 'U': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc')}})}),\n", + " 'MERRA2': defaultdict(...()>,\n", + " {'OMEGA': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc')}}),\n", + " 'Q': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc')}}),\n", + " 'RELHUM': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc')}}),\n", + " 'T': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc')}}),\n", + " 'U': defaultdict(dict,\n", + " {'ref': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc')},\n", + " 'test': {'ANN': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc'),\n", + " 'JJA': ('/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc',\n", + " '/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc')}})})})" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var_to_filepaths" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 1800 (0.0556%)\n", + "Max absolute difference: 1.69393882e-08\n", + "Max relative difference: 8.69285391e-05\n", + " x: array([[ 0.070015, 0.069959, 0.069908, ..., -0.031941, -0.030957,\n", + " -0.030484],\n", + " [ 0.083583, 0.083959, 0.08449 , ..., -0.045252, -0.044022,...\n", + " y: array([[ 0.070015, 0.069959, 0.069908, ..., -0.031941, -0.030957,\n", + " -0.030484],\n", + " [ 0.083583, 0.083959, 0.08449 , ..., -0.045252, -0.044022,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 1800 (0.0556%)\n", + "Max absolute difference: 1.69393882e-08\n", + "Max relative difference: 8.69285391e-05\n", + " x: array([[ 0.070015, 0.069959, 0.069908, ..., -0.031941, -0.030957,\n", + " -0.030484],\n", + " [ 0.083583, 0.083959, 0.08449 , ..., -0.045252, -0.044022,...\n", + " y: array([[ 0.070015, 0.069959, 0.069908, ..., -0.031941, -0.030957,\n", + " -0.030484],\n", + " [ 0.083583, 0.083959, 0.08449 , ..., -0.045252, -0.044022,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.12679693e-07\n", + "Max relative difference: 0.06101062\n", + " x: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.235800e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + " y: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.227703e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 15 / 3610 (0.416%)\n", + "Max absolute difference: 2.09578261e-07\n", + "Max relative difference: 0.00898989\n", + " x: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595097e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + " y: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595177e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs(var_to_filepaths)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "Tehre are two datasets not within the relative tolernace:\n", + "\n", + "```python\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.12679693e-07\n", + "Max relative difference: 0.06101062\n", + " x: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.235800e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + " y: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.227703e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/655-zonal-mean-2d-stratosphere/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 15 / 3610 (0.416%)\n", + "Max absolute difference: 2.09578261e-07\n", + "Max relative difference: 0.00898989\n", + " x: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595097e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + " y: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595177e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_run_script.py b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_run_script.py new file mode 100644 index 000000000..c8ff04512 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/655-zonal-mean-2d/655_zonal_mean_2d_stratosphere_run_script.py @@ -0,0 +1,6 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "zonal_mean_2d_stratosphere" +SET_DIR = "655-zonal-mean-2d-stratosphere" + +run_set(SET_NAME, SET_DIR) diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index f3706701d..3702e89be 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -385,10 +385,10 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: filepath = self._get_climo_filepath(season) ds = self._open_climo_dataset(filepath) - if self.var in ds.variables: - pass - elif self.var in self.derived_vars_map: + if self.var in self.derived_vars_map: ds = self._get_dataset_with_derived_climo_var(ds) + elif self.var in ds.data_vars.keys(): + pass else: raise IOError( f"Variable '{self.var}' was not in the file '{filepath}', nor was " diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index 0d8f39372..efe83f601 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -122,8 +122,8 @@ def has_z_axis(data_var: xr.DataArray) -> bool: return False -def get_z_axis(data_var: xr.DataArray) -> xr.DataArray: - """Gets the Z axis coordinates. +def get_z_axis(obj: xr.Dataset | xr.DataArray) -> xr.DataArray: + """Gets the Z axis coordinates from an xarray object. Returns True if: - Data variable has a "Z" axis in the cf-xarray mapping dict @@ -133,8 +133,8 @@ def get_z_axis(data_var: xr.DataArray) -> xr.DataArray: Parameters ---------- - data_var : xr.DataArray - The data variable. + obj : xr.Dataset | xr.DataArray + The xarray Dataset or DataArray. Returns ------- @@ -148,18 +148,19 @@ def get_z_axis(data_var: xr.DataArray) -> xr.DataArray: - https://cdms.readthedocs.io/en/latest/_modules/cdms2/axis.html#AbstractAxis.isLevel """ try: - z_coords = xc.get_dim_coords(data_var, axis="Z") + z_coords = xc.get_dim_coords(obj, axis="Z") + return z_coords except KeyError: pass - for coord in data_var.coords.values(): + for coord in obj.coords.values(): if coord.name in ["lev", "plev", "depth"]: return coord raise KeyError( - f"No Z axis coordinate were found in the '{data_var.name}' " - "Make sure the variable has Z axis coordinates" + f"No Z axis coordinates were found in the {type(obj)}. Make sure the " + f"{type(obj)} has Z axis coordinates." ) @@ -517,6 +518,7 @@ def _hybrid_to_plevs( pressure_grid = xc.create_grid(z=z_axis) pressure_coords = _hybrid_to_pressure(ds, var_key) + # Keep the "axis" and "coordinate" attributes for CF mapping. with xr.set_options(keep_attrs=True): result = ds.regridder.vertical( @@ -527,6 +529,10 @@ def _hybrid_to_plevs( target_data=pressure_coords, ) + # Vertical regriding sets the units to "mb", but the original units + # should be preserved. + result[var_key].attrs["units"] = ds[var_key].attrs["units"] + return result diff --git a/e3sm_diags/driver/zonal_mean_2d_driver.py b/e3sm_diags/driver/zonal_mean_2d_driver.py index 20fa1fad5..da2aa26c0 100755 --- a/e3sm_diags/driver/zonal_mean_2d_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_driver.py @@ -1,281 +1,287 @@ -import os - -import cdms2 -import cdutil -import MV2 -import numpy - -import e3sm_diags -from e3sm_diags.driver import utils +import copy +from typing import Tuple + +import xarray as xr +import xcdat as xc # noqa: F401 + +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import ( + align_grids_to_lower_res, + has_z_axis, + regrid_z_axis_to_plevs, +) +from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, max_cdms, mean, min_cdms, rmse -from e3sm_diags.parameter.zonal_mean_2d_parameter import ZonalMean2dParameter -from e3sm_diags.plot import plot +from e3sm_diags.metrics.metrics import correlation, rmse, spatial_avg +from e3sm_diags.parameter.zonal_mean_2d_parameter import ( + DEFAULT_PLEVS, + ZonalMean2dParameter, +) +from e3sm_diags.plot.cartopy.zonal_mean_2d_plot import plot as plot_func logger = custom_logger(__name__) - -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - orig_bounds = cdms2.getAutoBounds() - cdms2.setAutoBounds(1) - lev = ref.getLevel() - if lev is not None: - lev.setBounds(None) - - lev = test.getLevel() - if lev is not None: - lev.setBounds(None) - - lev = test_regrid.getLevel() - if lev is not None: - lev.setBounds(None) - - lev = ref_regrid.getLevel() - if lev is not None: - lev.setBounds(None) - - lev = diff.getLevel() - if lev is not None: - lev.setBounds(None) - cdms2.setAutoBounds(orig_bounds) - - metrics_dict = {} - metrics_dict["ref"] = { - "min": min_cdms(ref), - "max": max_cdms(ref), - "mean": mean(ref, axis="yz"), - } - metrics_dict["test"] = { - "min": min_cdms(test), - "max": max_cdms(test), - "mean": mean(test, axis="yz"), - } - - metrics_dict["diff"] = { - "min": min_cdms(diff), - "max": max_cdms(diff), - "mean": mean(diff, axis="yz"), - } - metrics_dict["misc"] = { - "rmse": rmse(test_regrid, ref_regrid, axis="yz"), - "corr": corr(test_regrid, ref_regrid, axis="yz"), - } - - return metrics_dict +DEFAULT_PLEVS = copy.deepcopy(DEFAULT_PLEVS) def run_diag( - parameter: ZonalMean2dParameter, default_plevs=ZonalMean2dParameter().plevs + parameter: ZonalMean2dParameter, default_plevs=DEFAULT_PLEVS ) -> ZonalMean2dParameter: variables = parameter.variables seasons = parameter.seasons ref_name = getattr(parameter, "ref_name", "") - regions = parameter.regions - - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) - - # Get land/ocean fraction for masking. - try: - land_frac = test_data.get_climo_variable("LANDFRAC", season) - ocean_frac = test_data.get_climo_variable("OCNFRAC", season) - except Exception: - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" - ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") - - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var - - mv1 = test_data.get_climo_variable(var, season) - mv2 = ref_data.get_climo_variable(var, season) - - parameter.viewer_descr[var] = ( - mv1.long_name - if hasattr(mv1, "long_name") - else "No long_name attr in test data." - ) - - # Special case, cdms didn't properly convert mask with fill value - # -999.0, filed issue with Denis. - if ref_name == "WARREN": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 == -0.9, mv2) - # The following should be moved to a derived variable. - if ref_name == "AIRS": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 > 1e20, mv2) - if ref_name == "WILLMOTT" or ref_name == "CLOUDSAT": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 == -999.0, mv2) - - # The following should be moved to a derived variable. - if var == "PRECT_LAND": - days_season = { - "ANN": 365, - "DJF": 90, - "MAM": 92, - "JJA": 92, - "SON": 91, - } - # mv1 = mv1 * days_season[season] * 0.1 # following AMWG - # Approximate way to convert to seasonal cumulative - # precipitation, need to have solution in derived variable, - # unit convert from mm/day to cm. - mv2 = ( - mv2 / days_season[season] / 0.1 - ) # Convert cm to mm/day instead. - mv2.units = "mm/day" - - # For variables with a z-axis. - if mv1.getLevel() and mv2.getLevel(): - # Since the default is now stored in `default_plevs`, - # we must get it from there if the plevs param is blank. - plevs = parameter.plevs - if (isinstance(plevs, numpy.ndarray) and not plevs.all()) or ( - not isinstance(plevs, numpy.ndarray) and not plevs - ): - plevs = default_plevs - logger.info(f"Selected pressure level: {plevs}") - - mv1_p = utils.general.convert_to_pressure_levels( - mv1, plevs, test_data, var, season - ) - mv2_p = utils.general.convert_to_pressure_levels( - mv2, plevs, ref_data, var, season - ) - # Note this is a special case to handle small values of stratosphere specific humidity. - # The general derived variable process converts specific humidity to units [g/kg] - # Following converts from g/kg to ppm by volume. - - if parameter.current_set == "zonal_mean_2d_stratosphere": - if parameter.var_id == "Q" or parameter.var_id == "H2OLNZ": - mv1_p = mv1_p * 28.97 / 18.0 * 1000.0 - mv1_p.units = "ppmv" - mv2_p = mv2_p * 28.97 / 18.0 * 1000.0 - mv2_p.units = "ppmv" - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - mv1_p_reg, mv2_p_reg = utils.general.regrid_to_lower_res( - mv1_p, - mv2_p, - parameter.regrid_tool, - parameter.regrid_method, - ) + if not parameter._is_plevs_set(): + parameter.plevs = default_plevs + + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") - diff_p = mv1_p_reg - mv2_p_reg - diff = cdutil.averager(diff_p, axis="x") + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key - mv1_p = cdutil.averager(mv1_p, axis="x") - mv2_p = cdutil.averager(mv2_p, axis="x") + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) - # Make sure mv1_p_reg and mv2_p_reg have same mask - mv1_p_reg = mv2_p_reg + diff_p - mv2_p_reg = mv1_p_reg - diff_p + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) - mv1_reg = cdutil.averager(mv1_p_reg, axis="x") - mv2_reg = cdutil.averager(mv2_p_reg, axis="x") + # Store the variable's DataArray objects for reuse. + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] - parameter.output_file = "-".join( - [ref_name, var, season, parameter.regions[0]] + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) + + if is_dims_diff: + raise RuntimeError( + "The dimensions of the test and reference variables are different, " + f"({dv_test.dims} vs. {dv_ref.dims})." + ) + elif is_vars_3d: + _run_diags_3d( + parameter, + ds_test, + ds_ref, + season, + var_key, + ref_name, ) - parameter.main_title = str(" ".join([var, season])) + else: + raise RuntimeError("Dimensions of the two variables are different.") - if parameter.diff_type == "relative": - diff = diff / mv2_reg * 100.0 + return parameter - # Use mv2_p and mv1_p on the original horizonal grids for visualization and their own metrics - # Use mv2_reg and mv1_reg for rmse and correlation coefficient calculation - metrics_dict = create_metrics(mv2_p, mv1_p, mv2_reg, mv1_reg, diff) - parameter.var_region = "global" +def _run_diags_3d( + parameter: ZonalMean2dParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + season: str, + var_key: str, + ref_name: str, +): + plevs = parameter.plevs + logger.info(f"Selected pressure level: {plevs}") + + ds_t_plevs = regrid_z_axis_to_plevs(ds_test, var_key, plevs) + ds_r_plevs = regrid_z_axis_to_plevs(ds_ref, var_key, plevs) + + ds_t_plevs = _convert_g_kg_to_ppm_units(parameter, ds_t_plevs, var_key) + ds_r_plevs = _convert_g_kg_to_ppm_units(parameter, ds_r_plevs, var_key) + + # Calculate the spatial average of the variables on their original pressure + # level grids. These variables are used for the visualization on original + # horizonal grids for metrics output. + ds_t_plevs_avg = ds_t_plevs.spatial.average(var_key, axis="X") + ds_r_plevs_avg = ds_r_plevs.spatial.average(var_key, axis="X") + + # Align the grids for the variables and calculate their spatial averages + # and the difference between their spatial averages. These variables are + # used for calculating rmse and correlation. + ( + ds_t_plevs_rg_avg, + ds_r_plevs_rg_avg, + ds_diff_rg_avg, + ) = _get_avg_for_regridded_datasets(parameter, ds_t_plevs, ds_r_plevs, var_key) + + metrics_dict = _create_metrics_dict( + var_key, + ds_t_plevs_avg, + ds_t_plevs_rg_avg, + ds_r_plevs_avg, + ds_r_plevs_rg_avg, + ds_diff_rg_avg, + ) + + # Set parameter attributes for output files. + parameter.var_region = "global" + parameter.output_file = "-".join([ref_name, var_key, season, parameter.regions[0]]) + parameter.main_title = str(" ".join([var_key, season])) + + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_t_plevs_avg, + ds_r_plevs_avg, + ds_diff_rg_avg, + metrics_dict, + ) + + +def _convert_g_kg_to_ppm_units( + parameter: ZonalMean2dParameter, ds: xr.Dataset, var_key: str +) -> xr.Dataset: + """Adjust the units for a variable to handle special cases. + + This is a special case to handle small values of stratosphere specific + humidity. The general derived variable process converts specific humidity to + units [g/kg]. This function converts from "g/kg" to "ppm". + + Parameters + ---------- + parameter : ZonalMean2dParameter + The parameter object. + ds : xr.Dataset + The dataset. + var_key : str + They key of the variable. + + Returns + ------- + xr.Dataset + The dataset with units converted. + """ + ds_new = ds.copy() + + with xr.set_options(keep_attrs=True): + if ( + parameter.current_set == "zonal_mean_2d_stratosphere" + and parameter.var_id == "Q" + ): + ds_new[var_key] = ds_new[var_key] * 1000.0 + ds_new[var_key].attrs["units"] = "ppm" + + return ds_new + + +def _get_avg_for_regridded_datasets( + parameter: ZonalMean2dParameter, + ds_test_plevs: xr.Dataset, + ds_ref_plevs: xr.Dataset, + var_key: str, +) -> Tuple[xr.Dataset, xr.Dataset, xr.Dataset]: + """Get the average and difference between averages for the plevs datasets. + + Parameters + ---------- + parameter : ZonalMean2dParameter + The parameter object. + ds_test_plevs : xr.Dataset + The test dataset on pressure level coordinates. + ds_ref_plevs : xr.Dataset + The reference dataset on pressure level coordinates. + var_key : str + The key of the variable. + + Returns + ------- + Tuple[xr.Dataset, xr.Dataset, xr.Dataset] + A tuple consisting of the average of the test dataset, the + average of the ref dataset, and the difference between averages. + """ + ds_test_rg, ds_ref_rg = align_grids_to_lower_res( + ds_test_plevs, + ds_ref_plevs, + var_key, + parameter.regrid_tool, + parameter.regrid_method, + ) + + # Get the difference between the regridded variables and use it to + # make sure the regridded variables have the same mask. + with xr.set_options(keep_attrs=True): + ds_diff_rg = ds_test_rg.copy() + ds_diff_rg[var_key] = ds_test_rg[var_key] - ds_ref_rg[var_key] + + ds_test_rg[var_key] = ds_ref_rg[var_key] + ds_diff_rg[var_key] + ds_ref_rg[var_key] = ds_test_rg[var_key] - ds_diff_rg[var_key] + + # Calculate the spatial averages for the masked variables. + ds_test_rg_avg = ds_test_rg.spatial.average(var_key, axis=["X"]) + ds_ref_rg_avg = ds_ref_rg.spatial.average(var_key, axis=["X"]) + + # Calculate the spatial average for the differences + ds_diff_rg_avg = ds_diff_rg.spatial.average(var_key, axis=["X"]) + + if parameter.diff_type == "relative": + ds_diff_rg_avg = ds_diff_rg_avg / ds_ref_rg_avg * 100.0 + ds_diff_rg_avg[var_key].attrs["units"] = "%" + + return ds_test_rg_avg, ds_test_rg_avg, ds_diff_rg_avg + + +def _create_metrics_dict( + var_key: str, + ds_test: xr.Dataset, + ds_test_regrid: xr.Dataset, + ds_ref: xr.Dataset, + ds_ref_regrid: xr.Dataset, + ds_diff: xr.Dataset, +) -> MetricsDict: + """Calculate metrics using the variable in the datasets. + + Metrics include min value, max value, spatial average (mean), standard + deviation, correlation (pearson_r), and RMSE. + + Parameters + ---------- + var_key : str + The variable key. + ds_test : xr.Dataset + The test dataset. + ds_test_regrid : xr.Dataset + The regridded test Dataset. + ds_ref : xr.Dataset + The reference dataset. + ds_ref_regrid : xr.Dataset + The regridded reference dataset. + ds_diff : xr. Dataset + The difference between ``ds_test_regrid`` and ``ds_ref_regrid``. + + Returns + ------- + Metrics + A dictionary with the key being a string and the value being either + a sub-dictionary (key is metric and value is float) or a string + ("unit"). + """ + metrics_dict = {} - plot( - parameter.current_set, - mv2_p, - mv1_p, - diff, - metrics_dict, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, mv1_p, mv2_p, diff, parameter - ) + metrics_dict["units"] = ds_test[var_key].attrs["units"] + metrics_dict["ref"] = { + "min": ds_ref[var_key].min().item(), + "max": ds_test[var_key].max().item(), + "mean": spatial_avg(ds_ref, var_key, axis=["Y", "Z"]), + } + metrics_dict["test"] = { + "min": ds_test[var_key].min().item(), + "max": ds_test[var_key].max().item(), + "mean": spatial_avg(ds_test, var_key, axis=["Y", "Z"]), + } - # For variables without a z-axis. - elif mv1.getLevel() is None and mv2.getLevel() is None: - for region in regions: - logger.info(f"Selected region: {region}") - - mv1_domain = utils.general.select_region( - region, mv1, land_frac, ocean_frac, parameter - ) - mv2_domain = utils.general.select_region( - region, mv2, land_frac, ocean_frac, parameter - ) - - parameter.output_file = "-".join([ref_name, var, season, region]) - parameter.main_title = str(" ".join([var, season, region])) - - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - mv1_reg, mv2_reg = utils.general.regrid_to_lower_res( - mv1_domain, - mv2_domain, - parameter.regrid_tool, - parameter.regrid_method, - ) - - # Special case. - if var == "TREFHT_LAND" or var == "SST": - if ref_name == "WILLMOTT": - mv2_reg = MV2.masked_where( - mv2_reg == mv2_reg.fill_value, mv2_reg - ) - land_mask = MV2.logical_or(mv1_reg.mask, mv2_reg.mask) - mv1_reg = MV2.masked_where(land_mask, mv1_reg) - mv2_reg = MV2.masked_where(land_mask, mv2_reg) - - diff = mv1_reg - mv2_reg - metrics_dict = create_metrics( - mv2_domain, mv1_domain, mv2_reg, mv1_reg, diff - ) - parameter.var_region = region - - plot( - parameter.current_set, - mv2_domain, - mv1_domain, - diff, - metrics_dict, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_domain, - mv2_domain, - diff, - parameter, - ) + metrics_dict["diff"] = { + "min": ds_diff[var_key].min().item(), + "max": ds_diff[var_key].max().item(), + "mean": spatial_avg(ds_diff, var_key, axis=["Y", "Z"]), + } - else: - raise RuntimeError( - "Dimensions of the two variables are different. Aborting." - ) + metrics_dict["misc"] = { + "rmse": rmse(ds_test_regrid, ds_ref_regrid, var_key, axis=["Y", "Z"]), + "corr": correlation(ds_test_regrid, ds_ref_regrid, var_key, axis=["Y", "Z"]), + } - return parameter + return metrics_dict diff --git a/e3sm_diags/driver/zonal_mean_2d_stratosphere_driver.py b/e3sm_diags/driver/zonal_mean_2d_stratosphere_driver.py index d3eecac86..4fc38b712 100755 --- a/e3sm_diags/driver/zonal_mean_2d_stratosphere_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_stratosphere_driver.py @@ -1,19 +1,16 @@ -from e3sm_diags.driver.zonal_mean_2d_driver import create_metrics as base_create_metrics +import copy + from e3sm_diags.driver.zonal_mean_2d_driver import run_diag as base_run_diag from e3sm_diags.parameter.zonal_mean_2d_parameter import ZonalMean2dParameter from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + DEFAULT_PLEVS, ZonalMean2dStratosphereParameter, ) - -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - return base_create_metrics(ref, test, ref_regrid, test_regrid, diff) +DEFAULT_PLEVS = copy.deepcopy(DEFAULT_PLEVS) def run_diag( parameter: ZonalMean2dStratosphereParameter, ) -> ZonalMean2dParameter: - return base_run_diag( - parameter, default_plevs=ZonalMean2dStratosphereParameter().plevs - ) + return base_run_diag(parameter, default_plevs=DEFAULT_PLEVS) diff --git a/e3sm_diags/metrics/metrics.py b/e3sm_diags/metrics/metrics.py index 68e5a4fc1..68410f08a 100644 --- a/e3sm_diags/metrics/metrics.py +++ b/e3sm_diags/metrics/metrics.py @@ -1,8 +1,9 @@ """This module stores functions to calculate metrics using Xarray objects.""" from __future__ import annotations -from typing import List +from typing import List, Literal +import numpy as np import xarray as xr import xcdat as xc import xskillscore as xs @@ -11,27 +12,12 @@ logger = custom_logger(__name__) -AXES = ["X", "Y"] - - -def get_weights(ds: xr.Dataset): - """Get weights for the X and Y spatial axes. - - Parameters - ---------- - ds : xr.Dataset - The dataset. - - Returns - ------- - xr.DataArray - Weights for the specified axis. - """ - return ds.spatial.get_weights(axis=["X", "Y"]) +Axis = Literal["X", "Y", "Z"] +DEFAULT_AXIS: List[Axis] = ["X", "Y"] def spatial_avg( - ds: xr.Dataset, var_key: str, as_list: bool = True + ds: xr.Dataset, var_key: str, axis: List[Axis] = DEFAULT_AXIS, as_list: bool = True ) -> List[float] | xr.DataArray: """Compute a variable's weighted spatial average. @@ -40,10 +26,14 @@ def spatial_avg( ds : xr.Dataset The dataset containing the variable. var_key : str - The key of the varible. + The key of the variable in the dataset. + axis : List[Axis] + The list of axes to use for the computation, by default ["X", "Y"]. + Valid axes including "X", "Y", and "Z". as_list : bool Return the spatial average as a list of floats, by default True. - If False, return an xr.DataArray. + If False, return an xr.DataArray. Must be True to be serializable for + writing out to a `.json` metrics file. Returns ------- @@ -59,8 +49,11 @@ def spatial_avg( ----- Replaces `e3sm_diags.metrics.mean`. """ - ds_avg = ds.spatial.average(var_key, axis=AXES, weights="generate") - results = ds_avg[var_key] + dv = ds[var_key].copy() + weights = _get_weights(ds, var_key, axis) + dims = _get_dims(dv, axis) + + results = dv.weighted(weights).mean(dims, keep_attrs=True) if as_list: return results.data.tolist() @@ -68,7 +61,7 @@ def spatial_avg( return results -def std(ds: xr.Dataset, var_key: str) -> List[float]: +def std(ds: xr.Dataset, var_key: str, axis: List[Axis] = DEFAULT_AXIS) -> List[float]: """Compute the weighted standard deviation for a variable. Parameters @@ -77,6 +70,9 @@ def std(ds: xr.Dataset, var_key: str) -> List[float]: The dataset containing the variable. var_key : str The key of the variable. + axis : List[Axis] + The list of axes to use for the computation, by default ["X", "Y"]. + Valid strings include "X", "Y", and "Z". Returns ------- @@ -94,15 +90,17 @@ def std(ds: xr.Dataset, var_key: str) -> List[float]: """ dv = ds[var_key].copy() - weights = ds.spatial.get_weights(axis=AXES, data_var=var_key) - dims = _get_dims(dv, axis=AXES) + weights = _get_weights(ds, var_key, axis) + dims = _get_dims(dv, axis) result = dv.weighted(weights).std(dim=dims, keep_attrs=True) return result.data.tolist() -def correlation(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: +def correlation( + ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str, axis: List[Axis] = DEFAULT_AXIS +) -> List[float]: """Compute the correlation coefficient between two variables. This function uses the Pearson correlation coefficient. Refer to [1]_ for @@ -116,6 +114,9 @@ def correlation(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float] The second dataset. var_key: str The key of the variable. + axis : List[Axis] + The list of axes to use for the computation, by default ["X", "Y"]. + Valid axes including "X", "Y", and "Z". Returns ------- @@ -135,9 +136,9 @@ def correlation(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float] var_b = ds_b[var_key] # Dimensions, bounds, and coordinates should be identical between datasets, - # so use the first dataset and variable to get dimensions and weights. - dims = _get_dims(var_a, axis=AXES) - weights = get_weights(ds_a) + # so use the first dataset and first variable to get dimensions and weights. + dims = _get_dims(var_a, axis) + weights = _get_weights(ds_a, var_key, axis) result = xs.pearson_r(var_a, var_b, dim=dims, weights=weights, skipna=True) results_list = result.data.tolist() @@ -145,7 +146,9 @@ def correlation(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float] return results_list -def rmse(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: +def rmse( + ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str, axis: List[Axis] = DEFAULT_AXIS +) -> List[float]: """Calculates the root mean square error (RMSE) between two variables. Parameters @@ -156,6 +159,9 @@ def rmse(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: The second dataset. var_key: str The key of the variable. + axis : List[Axis] + The list of axes to use for the computation, by default ["X", "Y"]. + Valid axes including "X", "Y", and "Z". Returns ------- @@ -170,9 +176,9 @@ def rmse(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: var_b = ds_b[var_key] # Dimensions, bounds, and coordinates should be identical between datasets, - # so use the first dataset and variable to get dimensions and weights. - dims = _get_dims(var_a, axis=AXES) - weights = get_weights(ds_a) + # so use the first dataset and first variable to get dimensions and weights. + dims = _get_dims(var_a, axis) + weights = _get_weights(ds_a, var_key, axis) result = xs.rmse(var_a, var_b, dim=dims, weights=weights, skipna=True) results_list = result.data.tolist() @@ -180,7 +186,94 @@ def rmse(ds_a: xr.Dataset, ds_b: xr.Dataset, var_key: str) -> List[float]: return results_list -def _get_dims(da: xr.DataArray, axis: List[str]): +def _get_weights(ds: xr.Dataset, var_key: str, axis: List[Axis] = DEFAULT_AXIS): + """Get weights for the specified axes of the variable. + + Parameters + ---------- + ds : xr.Dataset + The dataset containing the variable. + var_key : str + The key of the variable. + axis : List[Axis] + The list of axes to use for the computation, by default ["X", "Y"]. + Valid axes including "X", "Y", and "Z". + + Returns + ------- + xr.DataArray + Weights for the specified axis. + + Notes + ----- + xCDAT's ``ds.spatial.get_weights()`` method only supports rectilinear grids + # ("X", "Y") as of v0.6.1. This function computes weights for "X" and Y" + using xCDAT, then calculates "Z" weights separately before combining all + weights into a single matrix. + """ + spatial_wts = None + vertical_wts = None + + spatial_axis = [key for key in axis if key != "Z"] + if len(spatial_axis) > 0: + spatial_wts = ds.spatial.get_weights(spatial_axis, data_var=var_key) + spatial_wts = spatial_wts.fillna(0) + + if "Z" in axis: + vertical_wts = _get_z_weights(ds, var_key) + + if spatial_wts is not None and vertical_wts is not None: + return spatial_wts * vertical_wts + elif spatial_wts is not None: + return spatial_wts + elif vertical_wts is not None: + return vertical_wts + + +def _get_z_weights(ds: xr.Dataset, var_key: str) -> xr.DataArray: + """Get the Z axis weights using Z axis bounds. + + Parameters + ---------- + ds : xr.Dataset + The dataset containing a Z axis. + var_key : str + The key of the variable to get weights for. + + Returns + ------- + xr.DataArray + Weights for the Z axis. + + Raises + ------ + RuntimeError + If the dataset has no Z axis bounds. + + Notes + ----- + xCDAT spatial average get_weights() method does not support the Z axis as of + v0.6.1. This function is temporarily used until get_weights() supports the + Z axis. The logic is the same as xCDAT. + + * Related issue: https://github.com/xCDAT/xcdat/issues/596 + * Source: https://github.com/xCDAT/xcdat/blob/main/xcdat/spatial.py#L479-L495C16 + """ + try: + z_bnds = ds.bounds.get_bounds("Z", var_key) + except KeyError: + raise RuntimeError( + f"The dataset for {var_key} has no Z axis bounds to get weights for the Z " + "axis." + ) + + weights = np.abs(z_bnds[:, 1] - z_bnds[:, 0]) + weights = weights.fillna(0) + + return weights + + +def _get_dims(da: xr.DataArray, axis: List[Axis]) -> List[str]: """Get the dimensions for an axis in an xarray.DataArray. The dimensions are passed to the ``dim`` argument in xarray or xarray-based @@ -190,8 +283,9 @@ def _get_dims(da: xr.DataArray, axis: List[str]): ---------- da : xr.DataArray The array. - axis : List[str] - A list of axis strings. + axis : List[Axis] + The list of axes to get dimensions for. Valid strings + include "X", "Y", and "Z". Returns ------- diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index e87c59176..9b48b3440 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -5,6 +5,8 @@ import sys from typing import TYPE_CHECKING, Any, Dict, List, Tuple +import numpy as np + from e3sm_diags.derivations.derivations import DerivedVariablesMap from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQ from e3sm_diags.driver.utils.regrid import REGRID_TOOLS @@ -292,6 +294,14 @@ def _set_name_yrs_attrs( self.test_name_yrs = ds_test.get_name_yrs_attr(season) self.ref_name_yrs = ds_ref.get_name_yrs_attr(season) + def _is_plevs_set(self): + if (isinstance(self.plevs, np.ndarray) and not self.plevs.all()) or ( + not isinstance(self.plevs, np.ndarray) and not self.plevs + ): + return False + + return True + def _run_diag(self) -> List[Any]: """Run the diagnostics for each set in the parameter. diff --git a/e3sm_diags/parameter/zonal_mean_2d_parameter.py b/e3sm_diags/parameter/zonal_mean_2d_parameter.py index 0a4260c3c..554c35ce6 100644 --- a/e3sm_diags/parameter/zonal_mean_2d_parameter.py +++ b/e3sm_diags/parameter/zonal_mean_2d_parameter.py @@ -1,16 +1,20 @@ -import numpy +import copy + +import numpy as np from e3sm_diags.driver.utils.general import monotonic from .core_parameter import CoreParameter +DEFAULT_PLEVS = np.linspace(50, 1000, 20).tolist() + class ZonalMean2dParameter(CoreParameter): def __init__(self): super(ZonalMean2dParameter, self).__init__() # Override existing attributes # ============================= - self.plevs = numpy.linspace(50, 1000, 20).tolist() + self.plevs = copy.deepcopy(DEFAULT_PLEVS) self.plot_log_plevs = False self.plot_plevs = False # Granulating plevs causes duplicate plots in this case. diff --git a/e3sm_diags/parameter/zonal_mean_2d_stratosphere_parameter.py b/e3sm_diags/parameter/zonal_mean_2d_stratosphere_parameter.py index 937ae6436..bb8adb350 100644 --- a/e3sm_diags/parameter/zonal_mean_2d_stratosphere_parameter.py +++ b/e3sm_diags/parameter/zonal_mean_2d_stratosphere_parameter.py @@ -1,12 +1,16 @@ -import numpy +import copy + +import numpy as np from e3sm_diags.parameter.zonal_mean_2d_parameter import ZonalMean2dParameter +DEFAULT_PLEVS = np.logspace(0, 2.0, num=10).tolist() + class ZonalMean2dStratosphereParameter(ZonalMean2dParameter): def __init__(self): super(ZonalMean2dStratosphereParameter, self).__init__() # Override existing attributes # ============================= - self.plevs = numpy.logspace(0, 2.0, num=10).tolist() + self.plevs = copy.deepcopy(DEFAULT_PLEVS) self.plot_log_plevs = True diff --git a/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py index 83a9b48a8..a72bf5dce 100644 --- a/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py +++ b/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py @@ -1,293 +1,187 @@ -from __future__ import print_function - -import os +from typing import List, Optional, Tuple import matplotlib import numpy as np -import numpy.ma as ma -from cartopy.mpl.ticker import LatitudeFormatter +import xarray as xr +import xcdat as xc -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import get_colormap +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.zonal_mean_2d_parameter import DEFAULT_PLEVS +from e3sm_diags.plot.utils import ( + DEFAULT_PANEL_CFG, + _add_colorbar, + _add_contour_plot, + _add_min_mean_max_text, + _add_rmse_corr_text, + _configure_titles, + _configure_x_and_y_axes, + _get_c_levels_and_norm, + _save_plot, +) matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 import matplotlib.pyplot as plt # isort:skip # noqa: E402 logger = custom_logger(__name__) -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.6810, 0.6465, 0.2258), - (0.1691, 0.3961, 0.6465, 0.2258), - (0.1691, 0.1112, 0.6465, 0.2258), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def plot_panel(n, fig, proj, var, clevels, cmap, title, parameters, stats=None): - # var_min = float(var.min()) - # var_max = float(var.max()) - # var_mean = cdutil.averager(var, axis='xy', weights='generate') - # var = add_cyclic(var) - var.getLongitude() - lat = var.getLatitude() - plev = var.getLevel() - var = ma.squeeze(var.asma()) - - # Contour levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - # Contour plot - ax = fig.add_axes(panel[n], projection=proj) - cmap = get_colormap(cmap, parameters) - p1 = ax.contourf( - lat, - plev, - var, - # transform=ccrs.PlateCarree(), - norm=norm, - levels=levels, - cmap=cmap, - extend="both", - ) - ax.set_aspect("auto") - # ax.coastlines(lw=0.3) - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title( - title[2], loc="right", fontdict=plotSideTitle - ) # loc="right" doesn't work for polar projection - # ax.set_xticks([0, 60, 120, 180, 240, 300, 359.99], crs=ccrs.PlateCarree()) - # ax.set_xticks([-180, -120, -60, 0, 60, 120, 180], crs=ccrs.PlateCarree()) - ax.set_xticks([-90, -60, -30, 0, 30, 60, 90]) # , crs=ccrs.PlateCarree()) - ax.set_xlim(-90, 90) - # lon_formatter = LongitudeFormatter( - # zero_direction_label=True, number_format='.0f') - LatitudeFormatter() - # ax.xaxis.set_major_formatter(lon_formatter) - # ax.xaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - if parameters.plot_log_plevs: - ax.set_yscale("log") - if parameters.plot_plevs: - plev_ticks = parameters.plevs - # plev_ticks = plev_ticks[::-1] - plt.yticks(plev_ticks, plev_ticks) - if not parameters.plot_log_plevs and not parameters.plot_plevs: - # Below 4 lines are to specify the pressure axis and show the 50 mb tick at the top, given default plevs np.linspace(50, 1000, 20) - if parameters.plevs == np.linspace(50, 1000, 20).tolist(): - plev_ticks = parameters.plevs - new_ticks = [plev_ticks[0]] + plev_ticks[1::2] - new_ticks = [int(x) for x in new_ticks] - plt.yticks(new_ticks, new_ticks) - plt.ylabel("pressure (mb)") - # ax.set_yscale('log') - ax.invert_yaxis() - - # Color bar - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0215, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax) - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 0.01: - fmt = "%.1e" - pad = 35 - elif maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - else: - fmt = "%6.1f" - pad = 30 - cbar.set_ticks(levels[1:-1]) - labels = [fmt % level for level in levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Min, Mean, Max - fig.text( - panel[n][0] + 0.6635, - panel[n][1] + 0.2107, - "Max\nMean\nMin", - ha="left", - fontdict=plotSideTitle, - ) - - # if positive Max is smaller than 0.01, use scientific notation - if stats[0] < 0.01 and stats[0] > 0: - stats_fmt = "%.e\n%.e\n%.e" - else: - stats_fmt = "%.2f\n%.2f\n%.2f" - - fig.text( - panel[n][0] + 0.7635, - panel[n][1] + 0.2107, - stats_fmt % stats[0:3], - ha="right", - fontdict=plotSideTitle, - ) - - # RMSE, CORR - if len(stats) == 5: - fig.text( - panel[n][0] + 0.6635, - panel[n][1] - 0.0105, - "RMSE\nCORR", - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.7635, - panel[n][1] - 0.0105, - "%.2f\n%.2f" % stats[3:5], - ha="right", - fontdict=plotSideTitle, - ) - # plt.yscale('log') - # plt.gca().invert_yaxis() - - -def plot(reference, test, diff, metrics_dict, parameter): - # Create figure, projection +# Configs for x axis ticks and x axis limits. +X_TICKS = np.array([-90, -60, -30, 0, 30, 60, 90]) +X_LIM = -90, 90 + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, + metrics_dict: MetricsDict, +): + """Plot the variable's metrics generated by the zonal_mean_2d set. + + Parameters + ---------- + parameter : CoreParameter + The CoreParameter object containing plot configurations. + da_test : xr.DataArray + The test data. + da_ref : xr.DataArray + The reference data. + da_diff : xr.DataArray + The difference between `da_test` and `da_ref` (both are regridded to + the lower resolution of the two beforehand). + metrics_dict : Metrics + The metrics. + """ fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - # proj = ccrs.PlateCarree(central_longitude=180) - proj = None + fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) + + # The variable units. + units = metrics_dict["units"] - # First two panels - min1 = metrics_dict["test"]["min"] - mean1 = metrics_dict["test"]["mean"] - max1 = metrics_dict["test"]["max"] + # Add the first subplot for test data. + min1 = metrics_dict["test"]["min"] # type: ignore + mean1 = metrics_dict["test"]["mean"] # type: ignore + max1 = metrics_dict["test"]["max"] # type: ignore - plot_panel( + _add_colormap( 0, + da_test, fig, - proj, - test, - parameter.contour_levels, - parameter.test_colormap, - (parameter.test_name_yrs, parameter.test_title, test.units), parameter, - stats=(max1, mean1, min1), + parameter.test_colormap, + parameter.contour_levels, + title=(parameter.test_name_yrs, parameter.test_title, units), # type: ignore + metrics=(max1, mean1, min1), # type: ignore ) - min2 = metrics_dict["ref"]["min"] - mean2 = metrics_dict["ref"]["mean"] - max2 = metrics_dict["ref"]["max"] - plot_panel( + # Add the second and third subplots for ref data and the differences, + # respectively. + min2 = metrics_dict["ref"]["min"] # type: ignore + mean2 = metrics_dict["ref"]["mean"] # type: ignore + max2 = metrics_dict["ref"]["max"] # type: ignore + + _add_colormap( 1, + da_ref, fig, - proj, - reference, - parameter.contour_levels, - parameter.reference_colormap, - (parameter.ref_name_yrs, parameter.reference_title, reference.units), parameter, - stats=(max2, mean2, min2), + parameter.reference_colormap, + parameter.contour_levels, + title=(parameter.ref_name_yrs, parameter.reference_title, units), # type: ignore + metrics=(max2, mean2, min2), # type: ignore ) - # Third panel - min3 = metrics_dict["diff"]["min"] - mean3 = metrics_dict["diff"]["mean"] - max3 = metrics_dict["diff"]["max"] - if parameter.diff_type == "relative": - test.units = "%" + min3 = metrics_dict["diff"]["min"] # type: ignore + mean3 = metrics_dict["diff"]["mean"] # type: ignore + max3 = metrics_dict["diff"]["max"] # type: ignore + r = metrics_dict["misc"]["rmse"] # type: ignore + c = metrics_dict["misc"]["corr"] # type: ignore - r = metrics_dict["misc"]["rmse"] - c = metrics_dict["misc"]["corr"] - plot_panel( + _add_colormap( 2, + da_diff, fig, - proj, - diff, - parameter.diff_levels, - parameter.diff_colormap, - (None, parameter.diff_title, test.units), parameter, - stats=(max3, mean3, min3, r, c), + parameter.diff_colormap, + parameter.diff_levels, + title=(None, parameter.diff_title, da_diff.attrs["units"]), # + metrics=(max3, mean3, min3, r, c), # type: ignore ) - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 + _save_plot(fig, parameter) plt.close() + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: CoreParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[Optional[str], str, str], + metrics: Tuple[float, ...], +): + lat = xc.get_dim_coords(var, axis="Y") + plev = xc.get_dim_coords(var, axis="Z") + var = var.squeeze() + + # Configure contour levels + # -------------------------------------------------------------------------- + c_levels, norm = _get_c_levels_and_norm(contour_levels) + + # Add the contour plot + # -------------------------------------------------------------------------- + ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=None) + + contour_plot = _add_contour_plot( + ax, parameter, var, lat, plev, color_map, None, norm, c_levels + ) + + # Configure the aspect ratio and plot titles. + # -------------------------------------------------------------------------- + ax.set_aspect("auto") + _configure_titles(ax, title) + + # Configure x and y axis. + # -------------------------------------------------------------------------- + _configure_x_and_y_axes(ax, X_TICKS, None, None, parameter.current_set) + ax.set_xlim(X_LIM) + + if parameter.plot_log_plevs: + ax.set_yscale("log") + + if parameter.plot_plevs: + plev_ticks = parameter.plevs + plt.yticks(plev_ticks, plev_ticks) + + # For default plevs, specify the pressure axis and show the 50 mb tick + # at the top. + if ( + not parameter.plot_log_plevs + and not parameter.plot_plevs + and parameter.plevs == DEFAULT_PLEVS + ): + plev_ticks = parameter.plevs + new_ticks = [plev_ticks[0]] + plev_ticks[1::2] + new_ticks = [int(x) for x in new_ticks] + plt.yticks(new_ticks, new_ticks) + + plt.ylabel("pressure (mb)") + ax.invert_yaxis() + + # Add and configure the color bar. + # -------------------------------------------------------------------------- + _add_colorbar(fig, subplot_num, DEFAULT_PANEL_CFG, contour_plot, c_levels) + + # Add metrics text. + # -------------------------------------------------------------------------- + # Min, Mean, Max + _add_min_mean_max_text(fig, subplot_num, DEFAULT_PANEL_CFG, metrics) + + if len(metrics) == 5: + _add_rmse_corr_text(fig, subplot_num, DEFAULT_PANEL_CFG, metrics) diff --git a/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py index e9bab3713..004f3c93d 100644 --- a/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py +++ b/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py @@ -1,7 +1,15 @@ -from __future__ import print_function +import xarray as xr +from e3sm_diags.driver.utils.type_annotations import MetricsDict +from e3sm_diags.parameter.core_parameter import CoreParameter from e3sm_diags.plot.cartopy.zonal_mean_2d_plot import plot as base_plot -def plot(reference, test, diff, metrics_dict, parameter): - return base_plot(reference, test, diff, metrics_dict, parameter) +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, + metrics_dict: MetricsDict, +): + return base_plot(parameter, da_test, da_ref, da_diff, metrics_dict) diff --git a/e3sm_diags/plot/lat_lon_plot.py b/e3sm_diags/plot/lat_lon_plot.py index 05dda58a3..d4d648f82 100644 --- a/e3sm_diags/plot/lat_lon_plot.py +++ b/e3sm_diags/plot/lat_lon_plot.py @@ -1,13 +1,31 @@ from __future__ import annotations -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, List, Tuple +import cartopy.crs as ccrs +import cartopy.feature as cfeature import matplotlib import xarray as xr +import xcdat as xc +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.plot.utils import _add_colormap, _save_plot +from e3sm_diags.plot.utils import ( + DEFAULT_PANEL_CFG, + _add_colorbar, + _add_contour_plot, + _add_grid_res_info, + _add_min_mean_max_text, + _add_rmse_corr_text, + _configure_titles, + _configure_x_and_y_axes, + _get_c_levels_and_norm, + _get_x_ticks, + _get_y_ticks, + _make_lon_cyclic, + _save_plot, +) if TYPE_CHECKING: from e3sm_diags.driver.lat_lon_driver import MetricsDict @@ -102,3 +120,119 @@ def plot( _save_plot(fig, parameter) plt.close() + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: CoreParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[str | None, str, str], + metrics: Tuple[float, ...], +): + """Adds a colormap containing the variable data and metrics to the figure. + + This function is used by: + - `lat_lon_plot.py` + - `aerosol_aeronet_plot.py` (when refactored). + + Parameters + ---------- + subplot_num : int + The subplot number. + var : xr.DataArray + The variable to plot. + fig : plt.Figure + The figure object to add the subplot to. + parameter : CoreParameter + The CoreParameter object containing plot configurations. + color_map : str + The colormap styling to use (e.g., "cet_rainbow.rgb"). + contour_levels : List[float] + The map contour levels. + title : Tuple[str | None, str, str] + A tuple of strings to form the title of the colormap, in the format + ( years, title, units). + metrics : Tuple[float, ...] + A tuple of metrics for this subplot. + """ + var = _make_lon_cyclic(var) + lat = xc.get_dim_coords(var, axis="Y") + lon = xc.get_dim_coords(var, axis="X") + + var = var.squeeze() + + # Configure contour levels and boundary norm. + # -------------------------------------------------------------------------- + c_levels, norm = _get_c_levels_and_norm(contour_levels) + + # Get region info and X and Y plot ticks. + # -------------------------------------------------------------------------- + region_key = parameter.regions[0] + region_specs = REGION_SPECS[region_key] + + # Get the region's domain slices for latitude and longitude if set, or + # use the default value. If both are not set, then the region type is + # considered "global". + lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore + lon_slice = region_specs.get("lon", (0, 360)) # type: ignore + + # Boolean flags for configuring plots. + is_global_domain = lat_slice == (-90, 90) and lon_slice == (0, 360) + is_lon_full = lon_slice == (0, 360) + + # Determine X and Y ticks using longitude and latitude domains respectively. + lon_west, lon_east = lon_slice + x_ticks = _get_x_ticks(lon_west, lon_east, is_global_domain, is_lon_full) + + lat_south, lat_north = lat_slice + y_ticks = _get_y_ticks(lat_south, lat_north) + + # Get the cartopy projection based on region info. + # -------------------------------------------------------------------------- + projection = ccrs.PlateCarree() + if is_global_domain or is_lon_full: + projection = ccrs.PlateCarree(central_longitude=180) + + # Get the figure Axes object using the projection above. + # -------------------------------------------------------------------------- + ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=projection) + ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=projection) + contour_plot = _add_contour_plot( + ax, parameter, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels + ) + + # Configure the aspect ratio and coast lines. + # -------------------------------------------------------------------------- + # Full world would be aspect 360/(2*180) = 1 + ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) + ax.coastlines(lw=0.3) + + if not is_global_domain and "RRM" in region_key: + ax.coastlines(resolution="50m", color="black", linewidth=1) + state_borders = cfeature.NaturalEarthFeature( + category="cultural", + name="admin_1_states_provinces_lakes", + scale="50m", + facecolor="none", + ) + ax.add_feature(state_borders, edgecolor="black") + + # Configure the titles, x and y axes, and colorbar. + # -------------------------------------------------------------------------- + _configure_titles(ax, title) + _configure_x_and_y_axes( + ax, x_ticks, y_ticks, ccrs.PlateCarree(), parameter.current_set + ) + _add_colorbar(fig, subplot_num, DEFAULT_PANEL_CFG, contour_plot, c_levels) + + # Add metrics text to the figure. + # -------------------------------------------------------------------------- + _add_min_mean_max_text(fig, subplot_num, DEFAULT_PANEL_CFG, metrics) + + if len(metrics) == 5: + _add_rmse_corr_text(fig, subplot_num, DEFAULT_PANEL_CFG, metrics) + + _add_grid_res_info(fig, subplot_num, region_key, lat, lon, DEFAULT_PANEL_CFG) diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index e2d9de5cb..e365c2995 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -4,15 +4,14 @@ from typing import List, Tuple import cartopy.crs as ccrs -import cartopy.feature as cfeature import matplotlib +import matplotlib.contour as mcontour import numpy as np import xarray as xr import xcdat as xc from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter from matplotlib.transforms import Bbox -from e3sm_diags.derivations.default_regions_xr import REGION_SPECS from e3sm_diags.driver.utils.general import get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.core_parameter import CoreParameter @@ -25,11 +24,12 @@ logger = custom_logger(__name__) # Plot title and side title configurations. -PLOT_TITLE = {"fontsize": 11.5} -PLOT_SIDE_TITLE = {"fontsize": 9.5} +MAIN_TITLE_FONTSIZE = 11.5 +SECONDARY_TITLE_FONTSIZE = 9.5 # Position and sizes of subplot axes in page coordinates (0 to 1) -PANEL = [ +PanelConfig = List[Tuple[float, float, float, float]] +DEFAULT_PANEL_CFG: PanelConfig = [ (0.1691, 0.6810, 0.6465, 0.2258), (0.1691, 0.3961, 0.6465, 0.2258), (0.1691, 0.1112, 0.6465, 0.2258), @@ -37,10 +37,27 @@ # Border padding relative to subplot axes for saving individual panels # (left, bottom, right, top) in page coordinates -BORDER_PADDING = (-0.06, -0.03, 0.13, 0.03) +DEFAULT_BORDER_PADDING = (-0.06, -0.03, 0.13, 0.03) + +# Sets that use the lat_lon formatter to configure the X and Y axes of the plot. +SETS_USING_LAT_LON_FORMATTER = [ + "lat_lon", + "lat_lon_land", + "lat_lon_river", + "diurnal_cycle", + "enso_diags", + "meridional_mean_2d", + "streamflow", + "tc_analysis", +] -def _save_plot(fig: plt.Figure, parameter: CoreParameter): +def _save_plot( + fig: plt.Figure, + parameter: CoreParameter, + panel_configs: PanelConfig = DEFAULT_PANEL_CFG, + border_padding: Tuple[float, float, float, float] = DEFAULT_BORDER_PADDING, +): """Save the plot using the figure object and parameter configs. This function creates the output filename to save the plot. It also @@ -52,6 +69,13 @@ def _save_plot(fig: plt.Figure, parameter: CoreParameter): The plot figure. parameter : CoreParameter The CoreParameter with file configurations. + panel_configs : PanelConfig + A list of panel configs consisting of positions and sizes, with each + element representing a panel. By default, set to ``DEFAULT_PANEL_CFG``. + border_padding : Tuple[float, float, float, float] + A tuple of border padding configs (left, bottom, right, top) for each + panel relative to the subplot axes. By default, set to + ``DEFAULT_BORDER_PADDING``. """ for f in parameter.output_format: f = f.lower().split(".")[-1] @@ -64,9 +88,9 @@ def _save_plot(fig: plt.Figure, parameter: CoreParameter): # Save individual subplots if parameter.ref_name == "": - panels = [PANEL[0]] + panels = [panel_configs[0]] else: - panels = PANEL + panels = panel_configs for f in parameter.output_format_subplot: fnm = os.path.join( @@ -79,7 +103,7 @@ def _save_plot(fig: plt.Figure, parameter: CoreParameter): # Extent of subplot subpage = np.array(panel).reshape(2, 2) subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(BORDER_PADDING).reshape(2, 2) + subpage = subpage + np.array(border_padding).reshape(2, 2) subpage = list(((subpage) * page).flatten()) # type: ignore extent = Bbox.from_extents(*subpage) @@ -95,221 +119,25 @@ def _save_plot(fig: plt.Figure, parameter: CoreParameter): logger.info(f"Sub-plot saved in: {fname}") -def _add_colormap( - subplot_num: int, - var: xr.DataArray, - fig: plt.Figure, - parameter: CoreParameter, - color_map: str, - contour_levels: List[float], - title: Tuple[str | None, str, str], - metrics: Tuple[float, ...], -): - """Adds a colormap containing the variable data and metrics to the figure. - - This function is used by: - - `lat_lon_plot.py` - - `aerosol_aeronet_plot.py` (TODO) - - Parameters - ---------- - subplot_num : int - The subplot number. - var : xr.DataArray - The variable to plot. - fig : plt.Figure - The figure object to add the subplot to. - parameter : CoreParameter - The CoreParameter object containing plot configurations. - color_map : str - The colormap styling to use (e.g., "cet_rainbow.rgb"). - contour_levels : List[float] - The map contour levels. - title : Tuple[str | None, str, str] - A tuple of strings to form the title of the colormap, in the format - ( years, title, units). - metrics : Tuple[float, ...] - A tuple of metrics for this subplot. - """ - var = _make_lon_cyclic(var) - lat = xc.get_dim_coords(var, axis="Y") - lon = xc.get_dim_coords(var, axis="X") - - var = var.squeeze() - - # Configure contour levels - # -------------------------------------------------------------------------- - c_levels = None - norm = None - - if len(contour_levels) > 0: - c_levels = [-1.0e8] + contour_levels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=c_levels, ncolors=256) - - # Configure plot tickets based on longitude and latitude. - # -------------------------------------------------------------------------- - region_key = parameter.regions[0] - region_specs = REGION_SPECS[region_key] - - # Get the region's domain slices for latitude and longitude if set, or - # use the default value. If both are not set, then the region type is - # considered "global". - lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore - lon_slice = region_specs.get("lon", (0, 360)) # type: ignore - - # Boolean flags for configuring plots. - is_global_domain = lat_slice == (-90, 90) and lon_slice == (0, 360) - is_lon_full = lon_slice == (0, 360) - - # Determine X and Y ticks using longitude and latitude domains respectively. - lon_west, lon_east = lon_slice - x_ticks = _get_x_ticks(lon_west, lon_east, is_global_domain, is_lon_full) - - lat_south, lat_north = lat_slice - y_ticks = _get_y_ticks(lat_south, lat_north) - - # Add the contour plot. - # -------------------------------------------------------------------------- - projection = ccrs.PlateCarree() - if is_global_domain or is_lon_full: - projection = ccrs.PlateCarree(central_longitude=180) - - ax = fig.add_axes(PANEL[subplot_num], projection=projection) - ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=projection) - color_map = get_colormap(color_map, parameter) - p1 = ax.contourf( - lon, - lat, - var, - transform=ccrs.PlateCarree(), - norm=norm, - levels=c_levels, - cmap=color_map, - extend="both", - ) - - # Configure the aspect ratio and coast lines. - # -------------------------------------------------------------------------- - # Full world would be aspect 360/(2*180) = 1 - ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) - ax.coastlines(lw=0.3) - - if not is_global_domain and "RRM" in region_key: - ax.coastlines(resolution="50m", color="black", linewidth=1) - state_borders = cfeature.NaturalEarthFeature( - category="cultural", - name="admin_1_states_provinces_lakes", - scale="50m", - facecolor="none", - ) - ax.add_feature(state_borders, edgecolor="black") - - # Configure the titles. - # -------------------------------------------------------------------------- - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=PLOT_SIDE_TITLE) - if title[1] is not None: - ax.set_title(title[1], fontdict=PLOT_TITLE) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=PLOT_SIDE_TITLE) - - # Configure x and y axis. - # -------------------------------------------------------------------------- - ax.set_xticks(x_ticks, crs=ccrs.PlateCarree()) - ax.set_yticks(y_ticks, crs=ccrs.PlateCarree()) - - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - - ax.tick_params(labelsize=8.0, direction="out", width=1) - - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - - # Add and configure the color bar. - # -------------------------------------------------------------------------- - cbax = fig.add_axes( - (PANEL[subplot_num][0] + 0.6635, PANEL[subplot_num][1] + 0.0215, 0.0326, 0.1792) - ) - cbar = fig.colorbar(p1, cax=cbax) - - if c_levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - else: - cbar.set_ticks(c_levels[1:-1]) - - label_format, pad = _get_contour_label_format_and_pad(c_levels) - labels = [label_format % level for level in c_levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Add metrics text. - # -------------------------------------------------------------------------- - # Min, Mean, Max - fig.text( - PANEL[subplot_num][0] + 0.6635, - PANEL[subplot_num][1] + 0.2107, - "Max\nMean\nMin", - ha="left", - fontdict=PLOT_SIDE_TITLE, - ) - - fmt_m = [] - - # Print in scientific notation if value is greater than 10^5 - for i in range(len(metrics[0:3])): - fs = "1e" if metrics[i] > 100000.0 else "2f" - fmt_m.append(fs) - - fmt_metrics = f"%.{fmt_m[0]}\n%.{fmt_m[1]}\n%.{fmt_m[2]}" - - fig.text( - PANEL[subplot_num][0] + 0.7635, - PANEL[subplot_num][1] + 0.2107, - # "%.2f\n%.2f\n%.2f" % stats[0:3], - fmt_metrics % metrics[0:3], - ha="right", - fontdict=PLOT_SIDE_TITLE, - ) - - # RMSE, CORR - if len(metrics) == 5: - fig.text( - PANEL[subplot_num][0] + 0.6635, - PANEL[subplot_num][1] - 0.0105, - "RMSE\nCORR", - ha="left", - fontdict=PLOT_SIDE_TITLE, - ) - fig.text( - PANEL[subplot_num][0] + 0.7635, - PANEL[subplot_num][1] - 0.0105, - "%.2f\n%.2f" % metrics[3:5], - ha="right", - fontdict=PLOT_SIDE_TITLE, - ) - - # Add grid resolution info. - # -------------------------------------------------------------------------- +def _add_grid_res_info(fig, subplot_num, region_key, lat, lon, panel_configs): if subplot_num == 2 and "RRM" in region_key: dlat = lat[2] - lat[1] dlon = lon[2] - lon[1] fig.text( - PANEL[subplot_num][0] + 0.4635, - PANEL[subplot_num][1] - 0.04, + panel_configs[subplot_num][0] + 0.4635, + panel_configs[subplot_num][1] - 0.04, "Resolution: {:.2f}x{:.2f}".format(dlat, dlon), ha="left", - fontdict=PLOT_SIDE_TITLE, + fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, ) + # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ def _make_lon_cyclic(var: xr.DataArray): """Make the longitude axis cyclic by adding a new coordinate point with 360. This function appends a new longitude coordinate point by taking the last - coordinate point and adding 360 to it. + coordinate point and adding 360 to it. It is used for sets such as lat_lon. Parameters ---------- @@ -332,6 +160,89 @@ def _make_lon_cyclic(var: xr.DataArray): return new_var +def _get_c_levels_and_norm( + contour_levels: List[float], +) -> Tuple[List[float] | None, colors.BoundaryNorm | None]: + """Get the contour levels and boundary norm. + + If custom contour_levels are used (> 0 elements), then adjust contour_levels with + endpoints and add a boundary norm. + + Parameters + ---------- + contour_levels : List[float] + The contour levels. + + Returns + ------- + Tuple[List[float] | None, colors.BoundaryNorm | None] + A tuple of optional contour levels and boundary norm. + """ + c_levels = None + norm = None + + if len(contour_levels) > 0: + c_levels = [-1.0e8] + contour_levels + [1.0e8] + norm = colors.BoundaryNorm(boundaries=c_levels, ncolors=256) + + return c_levels, norm + + +def _add_contour_plot( + ax: matplotlib.axes.Axes, + parameter: CoreParameter, + var: xr.DataArray, + x: xr.DataArray, + y: xr.DataArray, + color_map: str, + projection: ccrs.PlateCarree | None, + norm: colors.BoundaryNorm | None, + c_levels: List[float] | None, +) -> mcontour.QuadContourSet: + """Add the contour plot to the figure axes object. + + Parameters + ---------- + ax : matplotlib.axes.Axes + The figure axes object. + parameter : CoreParameter + The CoreParameter object containing plot configurations. + var : xr.DataArray + The variable to plot. + x : xr.DataArray + The coordinates of the X axis for the plot. + y : xr.DataArray + The coordinates of the Y axis for the plot. + color_map : str + The color map file path. + projection : ccrs.PlateCarree | None + The optional cartopy projection. + norm : colors.BoundaryNorm | None + The optional norm boundaries. + c_levels : List[float] | None + The optional contour levels. + + Returns + ------- + mcontour.QuadContourSet + The contour plot object. + """ + cmap = get_colormap(color_map, parameter) + + c_plot = ax.contourf( + x, + y, + var, + cmap=cmap, + transform=projection, + norm=norm, + levels=c_levels, + extend="both", + ) + + return c_plot + + def _get_x_ticks( lon_west: float, lon_east: float, is_global_domain: bool, is_lon_full: bool ) -> np.ndarray: @@ -427,6 +338,139 @@ def _determine_tick_step(degrees_covered: float) -> int: return 1 +def _configure_titles( + ax: matplotlib.axes.Axes, + title: Tuple[str | None, str, str], + main_fontsize: float = MAIN_TITLE_FONTSIZE, + secondary_fontsize: float = SECONDARY_TITLE_FONTSIZE, +): + """Configure the axes titles. + + Parameters + ---------- + ax : matplotlib.axes.Axes + The figure axes object. + title : Tuple[str | None, str, str] + A tuple of strings to form the title of the colormap, in the format + ( years, title, units). + main_fontsize : float + The main title font size, by default 11.5. + secondary_fontsize : float + The secondary title font sizes, by default 9.5. + + Returns + ------- + matplotlib.axes.Axes + The axes objects. + """ + if title[0] is not None: + ax.set_title(title[0], loc="left", fontdict={"fontsize": secondary_fontsize}) + if title[1] is not None: + ax.set_title(title[1], fontdict={"fontsize": main_fontsize}) + if title[2] is not None: + # NOTE: loc="right" doesn't work for polar projection + ax.set_title(title[2], loc="right", fontdict={"fontsize": secondary_fontsize}) + + +def _configure_x_and_y_axes( + ax: matplotlib.axes.Axes, + x_ticks: np.ndarray, + y_ticks: np.ndarray | None, + projection: ccrs.PlateCarree | None, + set_name: str, +): + """Configure the X and Y axes. + + Parameters + ---------- + ax : matplotlib.axes.Axes + The figure axes object. + x_ticks : np.ndarray + The array of X ticks. + y_ticks : np.ndarray | None + The optional array of Y ticks. Some set plotters pass None to configure + the Y axis ticks using other ticks such as Z axis plevs instead. + projection : ccrs.PlateCarree | None + The optional cartopy projection to use for X and Y ticks. + set_name : set_name + The name of the current set which determines whether the latitude and + longitude major formatters are used. + """ + # For `ax.set_xticks` and `ax.set_yticks`, `crs` cannot be `None` and we + # must split up arguments passed to these methods using a conditional + # statement. Otherwise, this error is raised: `ValueError: Incorrect use of + # keyword argument 'crs'. Keyword arguments other than 'minor' modify the + # text labels and can only be used if 'labels' are passed as well.` + if projection is not None: + ax.set_xticks(x_ticks, crs=projection) + + if y_ticks is not None: + ax.set_yticks(y_ticks, crs=projection) + else: + ax.set_xticks(x_ticks) + + if y_ticks is not None: + ax.set_yticks(y_ticks) + + ax.tick_params(labelsize=8.0, direction="out", width=1) + + ax.xaxis.set_ticks_position("bottom") + ax.yaxis.set_ticks_position("left") + + if set_name in SETS_USING_LAT_LON_FORMATTER: + lon_formatter = LongitudeFormatter( + zero_direction_label=True, number_format=".0f" + ) + lat_formatter = LatitudeFormatter() + ax.xaxis.set_major_formatter(lon_formatter) + ax.yaxis.set_major_formatter(lat_formatter) + + +def _add_colorbar( + fig: plt.Figure, + subplot_num: int, + panel_configs: PanelConfig, + contour_plot: mcontour.QuadContourSet, + c_levels: List[float] | None, +): + """Configure the colorbar on a colormap. + + Parameters + ---------- + fig : plt.Figure + The figure object. + subplot_num : int + The subplot number. + panel_configs : PanelConfig + A list of panel configs consisting of positions and sizes, with each + element representing a panel. + contour_plot : mcontour.QuadContourSet + The contour plot object. + c_levels : List[float] | None + The optional contour levels used to configure the colorbar. + """ + cbax = fig.add_axes( + ( + panel_configs[subplot_num][0] + 0.6635, + panel_configs[subplot_num][1] + 0.0215, + 0.0326, + 0.1792, + ) + ) + + cbar = fig.colorbar(contour_plot, cax=cbax) + + if c_levels is None: + cbar.ax.tick_params(labelsize=9.0, length=0) + else: + cbar.set_ticks(c_levels[1:-1]) + + label_format, pad = _get_contour_label_format_and_pad(c_levels) + labels = [label_format % level for level in c_levels[1:-1]] + cbar.ax.set_yticklabels(labels, ha="right") + cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) + + def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: """Get the label format and padding for each contour level. @@ -442,7 +486,10 @@ def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: """ maxval = np.amax(np.absolute(c_levels[1:-1])) - if maxval < 0.2: + if maxval < 0.01: + fmt = "%.1e" + pad = 35 + elif maxval < 0.2: fmt = "%5.3f" pad = 28 elif maxval < 10.0: @@ -459,3 +506,129 @@ def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: pad = 30 return fmt, pad + + +def _add_min_mean_max_text( + fig: plt.Figure, + subplot_num: int, + panel_configs: PanelConfig, + metrics: Tuple[float, ...], + set_name: str | None = None, + fontsize: float = SECONDARY_TITLE_FONTSIZE, +): + """Add min, mean, and max text to the figure. + + Parameters + ---------- + fig : plt.Figure + The figure object. + subplot_num : int + The subplot number. + panel_configs : PanelConfig + A list of panel configs consisting of positions and sizes, with each + element representing a panel. + metrics : Tuple[float, ...] + The tuple of metrics, with the first three elements being max, mean, + and min. + set_name : str | None + The optional set name used to determine float format, by default None. + fontsize : float + The text font size, by default 9.5. + """ + fontdict = {"fontsize": fontsize} + + fig.text( + panel_configs[subplot_num][0] + 0.6635, + panel_configs[subplot_num][1] + 0.2107, + "Max\nMean\nMin", + ha="left", + fontdict=fontdict, + ) + + fmt_metrics = _get_float_format(metrics, set_name) + + fig.text( + panel_configs[subplot_num][0] + 0.7635, + panel_configs[subplot_num][1] + 0.2107, + fmt_metrics % metrics[0:3], + ha="right", + fontdict=fontdict, + ) + + +def _get_float_format(metrics: Tuple[float, ...], set_name: str | None) -> str: + """Get the float format for string text based on decimal places of metrics. + + Parameters + ---------- + metrics : Tuple[float, ...] + The tuple of metrics, with the first three elements being max, mean, and + min. + set_name : str | None + The optional name of the set. + + Returns + ------- + str + The float format. + """ + # FIXME: This conditional code was ported over from two plot functions and + # can be implemented better. + if set_name in ["zonal_mean_2d", "zonal_mean_2d_stratosphere"]: + # if positive Max is smaller than 0.01, use scientific notation + if metrics[0] < 0.01 and metrics[0] > 0: + float_format = "%.e\n%.e\n%.e" + else: + float_format = "%.2f\n%.2f\n%.2f" + else: + fmt_m = [] + + # Print in scientific notation if value is greater than 10^5 + for i in range(len(metrics[0:3])): + fs = "1e" if metrics[i] > 100000.0 else "2f" + fmt_m.append(fs) + + float_format = f"%.{fmt_m[0]}\n%.{fmt_m[1]}\n%.{fmt_m[2]}" + + return float_format + + +def _add_rmse_corr_text( + fig: plt.Figure, + subplot_num: int, + panel_configs: PanelConfig, + metrics: Tuple[float, ...], + fontsize: float = SECONDARY_TITLE_FONTSIZE, +): + """Add RMSE and CORR metrics text to the figure. + + Parameters + ---------- + fig : plt.Figure + The figure object. + subplot_num : int + The subplot number. + panel_configs : PanelConfig + A list of panel configs consisting of positions and sizes, with each + element representing a panel. + metrics : Tuple[float, ...] + The tuple of metrics, with the last two elements being RMSE and CORR. + fontsize : float + The text font size, by default 9.5. + """ + fontdict = {"fontsize": fontsize} + + fig.text( + panel_configs[subplot_num][0] + 0.6635, + panel_configs[subplot_num][1] - 0.0105, + "RMSE\nCORR", + ha="left", + fontdict=fontdict, + ) + fig.text( + panel_configs[subplot_num][0] + 0.7635, + panel_configs[subplot_num][1] - 0.0105, + "%.2f\n%.2f" % metrics[3:5], + ha="right", + fontdict=fontdict, + ) diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 4b112161e..664b8df76 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -778,7 +778,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset_and_repla # time scalar variable using Xarray because it just throws the error # below. We might need to use another library like netCDF4 to create # a dummy dataset. - ds_precst = xr.Dataset( + ds_src = xr.Dataset( coords={ **spatial_coords, }, @@ -788,7 +788,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset_and_repla dims="time", data=0, ), - "PRECST": xr.DataArray( + "SOURCE_VAR": xr.DataArray( xr.DataArray( data=np.array( [ @@ -806,17 +806,17 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset_and_repla "ref", "climo", self.data_path, "2000", "2001" ) parameter.ref_file = "pr_200001_200112.nc" - ds_precst.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + ds_src.to_netcdf(f"{self.data_path}/{parameter.ref_file}") ds = Dataset(parameter, data_type="ref") - result = ds.get_climo_dataset("PRECST", season="ANN") - expected = ds_precst.squeeze(dim="time").drop_vars("time") + result = ds.get_climo_dataset("SO", season="ANN") + expected = ds_src.squeeze(dim="time").drop_vars("time") xr.testing.assert_identical(result, expected) def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): - ds_precst = xr.Dataset( + ds_src = xr.Dataset( coords={ **spatial_coords, "time": xr.DataArray( @@ -839,7 +839,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): }, data_vars={ **spatial_bounds, - "PRECST": xr.DataArray( + "SOURCE_VAR": xr.DataArray( xr.DataArray( data=np.array( [ @@ -857,12 +857,12 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): "ref", "climo", self.data_path, "2000", "2001" ) parameter.ref_file = "pr_200001_200112.nc" - ds_precst.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + ds_src.to_netcdf(f"{self.data_path}/{parameter.ref_file}") ds = Dataset(parameter, data_type="ref") - result = ds.get_climo_dataset("PRECST", season="ANN") - expected = ds_precst.squeeze(dim="time").drop_vars("time") + result = ds.get_climo_dataset("SOURCE_VAR", season="ANN") + expected = ds_src.squeeze(dim="time").drop_vars("time") xr.testing.assert_identical(result, expected) diff --git a/tests/e3sm_diags/driver/utils/test_regrid.py b/tests/e3sm_diags/driver/utils/test_regrid.py index 870de6a6a..88ce8bb35 100644 --- a/tests/e3sm_diags/driver/utils/test_regrid.py +++ b/tests/e3sm_diags/driver/utils/test_regrid.py @@ -334,7 +334,7 @@ def test_regrids_hybrid_levels_to_pressure_levels_with_existing_z_bounds(self): # updating the arrays and attributes of data variables and coordinates. expected = ds.sel(lev=[800, 200]).drop_vars(["ps", "hyam", "hybm"]) expected["so"].data[:] = np.nan - expected["so"].attrs["units"] = "mb" + expected["so"].attrs["units"] = "ppt" expected["lev"].attrs = { "axis": "Z", "coordinate": "vertical", @@ -364,7 +364,7 @@ def test_regrids_hybrid_levels_to_pressure_levels_with_generated_z_bounds(self): # updating the arrays and attributes of data variables and coordinates. expected = ds.sel(lev=[800, 200]).drop_vars(["ps", "hyam", "hybm"]) expected["so"].data[:] = np.nan - expected["so"].attrs["units"] = "mb" + expected["so"].attrs["units"] = "ppt" expected["lev"].attrs = { "axis": "Z", "coordinate": "vertical", @@ -393,7 +393,7 @@ def test_regrids_hybrid_levels_to_pressure_levels_with_Pa_units(self): # updating the arrays and attributes of data variables and coordinates. expected = ds.sel(lev=[800, 200]).drop_vars(["ps", "hyam", "hybm"]) expected["so"].data[:] = np.nan - expected["so"].attrs["units"] = "mb" + expected["so"].attrs["units"] = "ppt" expected["lev"].attrs = { "axis": "Z", "coordinate": "vertical", diff --git a/tests/e3sm_diags/fixtures.py b/tests/e3sm_diags/fixtures.py index bf0b7249e..4f6da58da 100644 --- a/tests/e3sm_diags/fixtures.py +++ b/tests/e3sm_diags/fixtures.py @@ -63,6 +63,7 @@ def generate_lev_dataset( name="so", data=np.ones((5, 4, 4, 4)), coords={"time": time_decoded, "lev": lev, "lat": lat, "lon": lon}, + attrs={"units": "ppt"}, ), }, coords={ diff --git a/tests/e3sm_diags/metrics/test_metrics.py b/tests/e3sm_diags/metrics/test_metrics.py index 141b5e0d6..fd4e8a339 100644 --- a/tests/e3sm_diags/metrics/test_metrics.py +++ b/tests/e3sm_diags/metrics/test_metrics.py @@ -3,7 +3,7 @@ import xarray as xr from xarray.testing import assert_allclose -from e3sm_diags.metrics.metrics import correlation, get_weights, rmse, spatial_avg, std +from e3sm_diags.metrics.metrics import _get_weights, correlation, rmse, spatial_avg, std class TestGetWeights: @@ -11,23 +11,30 @@ class TestGetWeights: def setup(self): self.ds = xr.Dataset( coords={ + "lev": xr.DataArray( + data=[0, 1, 2], + dims="lev", + attrs={"bounds": "lev_bnds", "axis": "Z"}, + ), "lat": xr.DataArray( data=[0, 1], dims="lat", attrs={"bounds": "lat_bnds", "axis": "Y"} ), "lon": xr.DataArray( data=[0, 1], dims="lon", attrs={"bounds": "lon_bnds", "axis": "X"} ), - "time": xr.DataArray(data=[1, 2, 3], dims="time"), }, ) self.ds["ts"] = xr.DataArray( data=np.array([[[1, 2], [1, 2]], [[np.nan, 1], [1, 2]], [[2, 1], [1, 2]]]), - coords={"lat": self.ds.lat, "lon": self.ds.lon, "time": self.ds.time}, - dims=["time", "lat", "lon"], + coords={"lat": self.ds.lat, "lon": self.ds.lon, "lev": self.ds.lev}, + dims=["lev", "lat", "lon"], ) # Bounds are used to generate weights. + self.ds["lev_bnds"] = xr.DataArray( + [[0, 1], [1, 2], [2, 3]], dims=["lev", "bnds"] + ) self.ds["lat_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lat", "bnds"]) self.ds["lon_bnds"] = xr.DataArray([[0, 1], [1, 2]], dims=["lon", "bnds"]) @@ -39,10 +46,48 @@ def test_returns_weights_for_x_y_axes(self): ), coords={"lon": self.ds.lon, "lat": self.ds.lat}, ) - result = get_weights(self.ds) + result = _get_weights(self.ds, "ts", axis=["X", "Y"]) assert_allclose(expected, result) + def test_returns_weights_for_x_y_z_axes(self): + expected = xr.DataArray( + dims=["lon", "lat", "lev"], + data=np.array( + [ + [ + [0.01745241, 0.01745241, 0.01745241], + [0.01744709, 0.01744709, 0.01744709], + ], + [ + [0.01745241, 0.01745241, 0.01745241], + [0.01744709, 0.01744709, 0.01744709], + ], + ] + ), + coords={"lon": self.ds.lon, "lat": self.ds.lat, "lev": self.ds.lev}, + ) + result = _get_weights(self.ds, "ts", axis=["X", "Y", "Z"]) + + assert_allclose(expected, result) + + def test_returns_weights_for_z_axis(self): + expected = xr.DataArray( + dims="lev", + data=np.array([1, 1, 1], dtype="float64"), + coords={"lev": self.ds.lev}, + ) + result = _get_weights(self.ds, "ts", axis=["Z"]) + + assert_allclose(expected, result) + + def test_raises_error_if_z_bounds_not_found(self): + ds = self.ds.copy() + ds = ds.drop_vars("lev_bnds") + + with pytest.raises(RuntimeError): + _get_weights(ds, "ts", axis=["Z"]) + class TestSpatialAvg: @pytest.fixture(autouse=True) From 45312714abf6272fa5822888fb24bf3a9087bc30 Mon Sep 17 00:00:00 2001 From: Jill Chengzhu Zhang Date: Thu, 15 Feb 2024 15:24:24 -0800 Subject: [PATCH 08/41] Refactor 654 zonal mean xy (#752) Co-authored-by: Tom Vo --- ..._mean_xy_cdat_regression_test_netcdf.ipynb | 1442 +++++++++++++ .../654-zonal_mean_xy_run_script.py | 6 + ...xy_cdat_regression_test_netcdf_debug.ipynb | 1889 +++++++++++++++++ .../debug_654-zonal_mean_xy_run_script.py | 8 + .../debug_zonal_mean_xy_model_vs_obs.cfg | 64 + .../654-zonal_mean_xy/test_refactor/diags.cfg | 58 + .../test_refactor/run_zonal_mean_xy.py | 42 + .../base_run_script.py | 17 +- .../template_cdat_regression_test_json.ipynb | 2 +- ...template_cdat_regression_test_netcdf.ipynb | 2 +- .../template_run_script.py | 30 +- e3sm_diags/derivations/derivations.py | 3 +- e3sm_diags/derivations/formulas.py | 19 +- e3sm_diags/derivations/formulas_cosp.py | 66 +- e3sm_diags/driver/utils/dataset_xr.py | 73 +- e3sm_diags/driver/utils/io.py | 4 +- e3sm_diags/driver/zonal_mean_xy_driver.py | 499 +++-- e3sm_diags/metrics/metrics.py | 3 + e3sm_diags/parameter/core_parameter.py | 2 +- e3sm_diags/plot/zonal_mean_xy_plot.py | 109 + .../derivations/test_formulas_cosp.py | 2 +- tests/e3sm_diags/fixtures.py | 1 + tests/e3sm_diags/metrics/test_metrics.py | 16 + 23 files changed, 4048 insertions(+), 309 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_cdat_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_cdat_regression_test_netcdf_debug.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_zonal_mean_xy_model_vs_obs.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/diags.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/run_zonal_mean_xy.py create mode 100644 e3sm_diags/plot/zonal_mean_xy_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..5593b6685 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,1442 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files do not match at DEV_PATH (264) and MAIN_PATH 390.\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"zonal_mean_xy\"\n", + "SET_DIR = \"654-zonal_mean_xy\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " # raise IOError(f\"Number of files do not match at DEV_PATH ({len(DEV_GLOB)}) and MAIN_PATH {len(MAIN_GLOB)}.\")\n", + " print(\n", + " f\"Number of files do not match at DEV_PATH ({len(DEV_GLOB)}) and MAIN_PATH {len(MAIN_GLOB)}.\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_diff.nc!\n", + "No file found to compare with 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with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc!\n", + "Number of files missing: 126\n" + ] + } + ], + "source": [ + "missing_count = 0\n", + "for filepath_main in MAIN_GLOB:\n", + " filepath_dev = filepath_main.replace(\"main\", SET_DIR)\n", + " try:\n", + " ds = xr.open_dataset(filepath_dev)\n", + " except OSError:\n", + " print(f\"No file found to compare with {filepath_main}!\")\n", + " missing_count += 1\n", + "print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc\n", + "var_key ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc\n", + "var_key ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc\n", + "var_key ALBEDO\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ inf, inf, inf, inf, inf, inf,\n", + " inf, inf, inf, 4.905806, 1.104448, 0.486332,\n", + " 1.070643, 0.9697 , 0.895325, 0.848754, 0.816032, 0.794203,...\n", + " y: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " 2.497374e+06, 4.905807e+00, 1.104448e+00, 4.863323e-01,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc\n", + "var_key ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + "var_key ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + "var_key ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + "var_key ALBEDOC\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ inf, inf, inf, inf, inf, inf,\n", + " inf, inf, inf, 2.820785, 2.415148, 2.439055,\n", + " 2.429912, 2.546782, 2.106862, 1.591239, 1.257344, 1.041096,...\n", + " y: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " 2.353753e+04, 2.820784e+00, 2.415149e+00, 2.439055e+00,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + "var_key ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + "var_key PminusE\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 169 / 180 (93.9%)\n", + "Max absolute difference: 2.68669262\n", + "Max relative difference: 0.99998843\n", + " x: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " nan, nan, nan, -1.362539e-06,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, -0.117723,\n", + " -0.275558, -0.151884, -0.083765, -0.021892, 0.034201, 0.038609,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + "var_key PminusE\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 169 / 180 (93.9%)\n", + "Max absolute difference: 4.20649947\n", + "Max relative difference: 0.99998843\n", + " x: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " nan, nan, nan, -3.314214e-06,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, -0.286348,\n", + " -0.466065, -0.300971, -0.246707, -0.202872, -0.148632, -0.135121,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 1.533745, 3.139232, 3.324253, 3.274897, 4.989359, 6.846378,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 29.236507, 28.109412, 28.533893, 27.251634, 26.469386, 26.97218 ,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061155\n", + "Max relative difference: 4.49746954e-05\n", + " x: array([ 0.508382, 1.074433, 2.217963, 4.089368, 5.346755, 7.023399,\n", + " 8.357964, 9.295872, 9.923036, 10.151429, 10.687794, 10.818779,\n", + " 11.640937, 11.675063, 11.80395 , 12.337801, 13.089828, 14.506738,...\n", + " y: array([ 0.508382, 1.074433, 2.217963, 4.089368, 5.346755, 7.023399,\n", + " 8.357964, 9.295872, 9.923036, 10.151429, 10.687794, 10.818779,\n", + " 11.640937, 11.675063, 11.80395 , 12.337801, 13.089828, 14.506738,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.198617, 7.309172, 9.268335, 9.669798,\n", + " 11.19571 , 11.517812, 11.814792, 12.461223, 13.276728, 15.05141 ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 3.536903, 7.309172, 9.268335, 9.669798,\n", + " 11.19571 , 11.517812, 11.814792, 12.461223, 13.276728, 15.051411,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 2.806976, 6.224152, 6.523888, 6.707491, 10.036236, 13.568533,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 53.769157, 55.229167, 55.455046, 55.463217, 53.257188, 53.239823,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061159\n", + "Max relative difference: 1.91732908e-05\n", + " x: array([ 0.508382, 1.074741, 2.220688, 4.231993, 5.838705, 7.932786,\n", + " 9.8937 , 11.139655, 11.933139, 12.18146 , 12.85056 , 13.306193,\n", + " 14.767582, 15.358916, 16.112319, 17.347913, 19.017255, 21.755876,...\n", + " y: array([ 0.508382, 1.074741, 2.220688, 4.231993, 5.838705, 7.932785,\n", + " 9.8937 , 11.139655, 11.933139, 12.18146 , 12.85056 , 13.306193,\n", + " 14.767582, 15.358915, 16.112319, 17.347913, 19.017255, 21.755876,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.682866, 8.67263 , 10.420182, 10.854651,\n", + " 12.601834, 13.196861, 13.898068, 15.160259, 16.787511, 19.424786,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 4.965834, 8.67263 , 10.420182, 10.854651,\n", + " 12.601835, 13.196861, 13.898068, 15.160259, 16.787511, 19.424786,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 1.273231, 3.08492 , 3.199634, 3.432593, 5.046877, 6.722155,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 24.53265 , 27.119755, 26.921153, 28.211582, 26.787802, 26.267643,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.484249, 1.363458, 1.151847, 1.184853,\n", + " 1.406124, 1.679048, 2.083276, 2.699036, 3.510783, 4.373375,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 1.428931, 1.363458, 1.151847, 1.184853,\n", + " 1.406124, 1.679048, 2.083276, 2.699036, 3.510783, 4.373375,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 2.182318, 4.534118, 4.810252, 4.755759, 7.591126, 10.469784,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 39.281719, 37.960055, 38.48202 , 37.21898 , 37.955631, 38.85693 ,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061146\n", + "Max relative difference: 2.47686554e-05\n", + " x: array([ 6.48259 , 7.032162, 8.168338, 10.670212, 11.995118, 13.340878,\n", + " 14.429191, 15.205507, 15.814261, 15.693725, 16.715162, 17.677505,\n", + " 19.150876, 19.576892, 20.216722, 21.049227, 22.324699, 24.589998,...\n", + " y: array([ 6.48259 , 7.032162, 8.168338, 10.670212, 11.995118, 13.340878,\n", + " 14.429191, 15.205507, 15.814261, 15.693725, 16.715162, 17.677505,\n", + " 19.150876, 19.576892, 20.216722, 21.049227, 22.324699, 24.589998,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.663766, 9.352386, 12.374152, 14.459126,\n", + " 17.169302, 18.363139, 19.672765, 20.744298, 22.064177, 24.981155,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 4.909472, 9.352386, 12.374152, 14.459126,\n", + " 17.169302, 18.363139, 19.672765, 20.744298, 22.064177, 24.981155,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 4.052755, 8.979892, 9.465165, 10.054856, 15.900496, 21.680996,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 72.94959 , 75.180491, 75.721322, 78.690177, 79.502482, 80.465552,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061132\n", + "Max relative difference: 1.05840129e-05\n", + " x: array([ 6.545985, 7.139061, 8.392006, 11.516488, 13.449367, 15.319527,\n", + " 17.182584, 18.434132, 19.263685, 19.077421, 20.377829, 21.93892 ,\n", + " 24.569706, 26.084629, 27.881661, 30.145176, 32.828553, 36.981647,...\n", + " y: array([ 6.545985, 7.139061, 8.392006, 11.516488, 13.449367, 15.319527,\n", + " 17.182584, 18.434132, 19.263685, 19.077421, 20.377828, 21.93892 ,\n", + " 24.569706, 26.084628, 27.881661, 30.145176, 32.828553, 36.981646,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 2.148015, 10.969964, 13.916991, 16.181666,\n", + " 19.454391, 21.16124 , 23.274337, 25.667828, 28.305911, 32.553575,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 6.338404, 10.969964, 13.916991, 16.181667,\n", + " 19.454391, 21.16124 , 23.274337, 25.667828, 28.305911, 32.553575,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 1.870437, 4.445774, 4.654913, 5.299097, 8.30937 , 11.211212,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 33.667874, 37.220435, 37.239302, 41.471195, 41.546851, 41.608623,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.484249, 1.617579, 1.542839, 1.72254 ,\n", + " 2.28509 , 2.798101, 3.601572, 4.92353 , 6.241734, 7.572421,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 1.428931, 1.617579, 1.542839, 1.72254 ,\n", + " 2.28509 , 2.798101, 3.601572, 4.92353 , 6.241734, 7.572421,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "# We are mainly focusing on relative tolerance here (in percentage terms).\n", + "atol = 0\n", + "rtol = 1e-5\n", + "\n", + "for filepath_dev in DEV_GLOB:\n", + " if \"test.nc\" in filepath_dev or \"ref.nc\" in filepath_dev:\n", + " filepath_main = filepath_dev.replace(SET_DIR, \"main\")\n", + " print(\"Comparing:\")\n", + " print(filepath_dev, \"\\n\", filepath_main)\n", + " ds1 = xr.open_dataset(filepath_dev)\n", + " ds2 = xr.open_dataset(filepath_main)\n", + "\n", + " var_key = filepath_dev.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = filepath_dev.split(\"-\")[-4]\n", + "\n", + " print(\"var_key\", var_key)\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- Issues with variable outputs not being produced\n", + "- Mismatching `nan` values and large diffs\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_run_script.py b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_run_script.py new file mode 100644 index 000000000..3a03ac532 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/654-zonal_mean_xy_run_script.py @@ -0,0 +1,6 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "zonal_mean_xy" +SET_DIR = "654-zonal_mean_xy" + +run_set(SET_NAME, SET_DIR) diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_cdat_regression_test_netcdf_debug.ipynb b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_cdat_regression_test_netcdf_debug.ipynb new file mode 100644 index 000000000..4feb1bbf9 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_cdat_regression_test_netcdf_debug.ipynb @@ -0,0 +1,1889 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"zonal_mean_xy\"\n", + "SET_DIR = \"debug-654-zonal_mean_xy\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " # raise IOError(f\"Number of files do not match at DEV_PATH ({len(DEV_GLOB)}) and MAIN_PATH {len(MAIN_GLOB)}.\")\n", + " print(\n", + " f\"Number of files do not match at DEV_PATH ({len(DEV_GLOB)}) and MAIN_PATH {len(MAIN_GLOB)}.\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "missing_count = 0\n", + "for filepath_main in MAIN_GLOB:\n", + " filepath_dev = filepath_main.replace(\"main\", SET_DIR)\n", + " try:\n", + " ds = xr.open_dataset(filepath_dev)\n", + " except OSError:\n", + " print(f\"No file found to compare with {filepath_main}!\")\n", + " missing_count += 1\n", + "print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc\n", + "var_key ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc\n", + "var_key ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc\n", + "var_key ALBEDO\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ inf, inf, inf, inf, inf, inf,\n", + " inf, inf, inf, 4.905806, 1.104448, 0.486332,\n", + " 1.070643, 0.9697 , 0.895325, 0.848754, 0.816032, 0.794203,...\n", + " y: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " 2.497374e+06, 4.905807e+00, 1.104448e+00, 4.863323e-01,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc\n", + "var_key ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + "var_key ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + "var_key ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + "var_key ALBEDOC\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ inf, inf, inf, inf, inf, inf,\n", + " inf, inf, inf, 2.820785, 2.415148, 2.439055,\n", + " 2.429912, 2.546782, 2.106862, 1.591239, 1.257344, 1.041096,...\n", + " y: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " 2.353753e+04, 2.820784e+00, 2.415149e+00, 2.439055e+00,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + "var_key ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + "var_key FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + "var_key FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + "var_key FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + "var_key FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + "var_key FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + "var_key NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + "var_key RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + "var_key SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + "var_key SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + "var_key SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + "var_key SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + "var_key ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + "var_key FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + "var_key FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + "var_key FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + "var_key FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + "var_key FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + "var_key FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + "var_key FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + "var_key FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + "var_key FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + "var_key FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + "var_key FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + "var_key FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + "var_key FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + "var_key FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + "var_key FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + "var_key FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + "var_key FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + "var_key FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + "var_key FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + "var_key FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + "var_key FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + "var_key FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + "var_key FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + "var_key FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + "var_key FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + "var_key FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + "var_key FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + "var_key FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + "var_key FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + "var_key LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + "var_key SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + "var_key PminusE\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 169 / 180 (93.9%)\n", + "Max absolute difference: 2.68669262\n", + "Max relative difference: 0.99998843\n", + " x: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " nan, nan, nan, -1.362539e-06,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, -0.117723,\n", + " -0.275558, -0.151884, -0.083765, -0.021892, 0.034201, 0.038609,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + "var_key PminusE\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 169 / 180 (93.9%)\n", + "Max absolute difference: 4.20649947\n", + "Max relative difference: 0.99998843\n", + " x: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " nan, nan, nan, -3.314214e-06,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, -0.286348,\n", + " -0.466065, -0.300971, -0.246707, -0.202872, -0.148632, -0.135121,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + "var_key CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + "var_key CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + "var_key CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + "var_key CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_ISCCP\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 47.524376, 49.217592, 40.503558,\n", + " 40.208695, 42.368686, 41.70946 , 44.171651, 44.821778, 45.508399,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, 48.193733, 49.217592, 40.503558,\n", + " 40.208696, 42.368686, 41.70946 , 44.17165 , 44.821777, 45.5084 ,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_ISCCP\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.669266, 9.472262, 12.565807, 14.592382,\n", + " 17.258383, 18.448257, 19.743159, 20.801946, 22.11058 , 24.988214,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 4.925703, 9.472262, 12.565807, 14.592382,\n", + " 17.258383, 18.448257, 19.743159, 20.801945, 22.110581, 24.988214,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_ISCCP\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 55.56152 , 60.006977, 66.614349,\n", + " 72.348068, 76.230691, 75.118569, 73.723432, 72.566653, 70.505745,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, 56.344076, 60.006977, 66.61435 ,\n", + " 72.348068, 76.230692, 75.11857 , 73.723432, 72.566652, 70.505744,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_ISCCP\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 2.153515, 11.169407, 14.355866, 16.5108 ,\n", + " 19.725695, 21.38418 , 23.471586, 25.789955, 28.381688, 32.562917,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 6.354634, 11.169407, 14.355866, 16.5108 ,\n", + " 19.725695, 21.384179, 23.471586, 25.789955, 28.381688, 32.562917,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + "var_key CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_ISCCP\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 8.037144, 10.789386, 26.110793,\n", + " 32.139373, 33.862005, 33.40911 , 29.551782, 27.744875, 24.997345,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, 8.150343, 10.789385, 26.110793,\n", + " 32.139373, 33.862005, 33.40911 , 29.551782, 27.744875, 24.997345,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + "var_key CLDTOT_TAU9.4_ISCCP\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.484249, 1.697145, 1.790059, 1.918418,\n", + " 2.467312, 2.935922, 3.728426, 4.98801 , 6.271108, 7.574703,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 1.428931, 1.697145, 1.790059, 1.918418,\n", + " 2.467312, 2.935922, 3.728426, 4.988009, 6.271108, 7.574703,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 1.533745, 3.139232, 3.324253, 3.274897, 4.989359, 6.846378,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 29.236507, 28.109412, 28.533893, 27.251634, 26.469386, 26.97218 ,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061155\n", + "Max relative difference: 4.49746954e-05\n", + " x: array([ 0.508382, 1.074433, 2.217963, 4.089368, 5.346755, 7.023399,\n", + " 8.357964, 9.295872, 9.923036, 10.151429, 10.687794, 10.818779,\n", + " 11.640937, 11.675063, 11.80395 , 12.337801, 13.089828, 14.506738,...\n", + " y: array([ 0.508382, 1.074433, 2.217963, 4.089368, 5.346755, 7.023399,\n", + " 8.357964, 9.295872, 9.923036, 10.151429, 10.687794, 10.818779,\n", + " 11.640937, 11.675063, 11.80395 , 12.337801, 13.089828, 14.506738,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + "var_key CLDLOW_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.198617, 7.309172, 9.268335, 9.669798,\n", + " 11.19571 , 11.517812, 11.814792, 12.461223, 13.276728, 15.05141 ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 3.536903, 7.309172, 9.268335, 9.669798,\n", + " 11.19571 , 11.517812, 11.814792, 12.461223, 13.276728, 15.051411,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 2.806976, 6.224152, 6.523888, 6.707491, 10.036236, 13.568533,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 53.769157, 55.229167, 55.455046, 55.463217, 53.257188, 53.239823,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061159\n", + "Max relative difference: 1.91732908e-05\n", + " x: array([ 0.508382, 1.074741, 2.220688, 4.231993, 5.838705, 7.932786,\n", + " 9.8937 , 11.139655, 11.933139, 12.18146 , 12.85056 , 13.306193,\n", + " 14.767582, 15.358916, 16.112319, 17.347913, 19.017255, 21.755876,...\n", + " y: array([ 0.508382, 1.074741, 2.220688, 4.231993, 5.838705, 7.932785,\n", + " 9.8937 , 11.139655, 11.933139, 12.18146 , 12.85056 , 13.306193,\n", + " 14.767582, 15.358915, 16.112319, 17.347913, 19.017255, 21.755876,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + "var_key CLDLOW_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.682866, 8.67263 , 10.420182, 10.854651,\n", + " 12.601834, 13.196861, 13.898068, 15.160259, 16.787511, 19.424786,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 4.965834, 8.67263 , 10.420182, 10.854651,\n", + " 12.601835, 13.196861, 13.898068, 15.160259, 16.787511, 19.424786,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 1.273231, 3.08492 , 3.199634, 3.432593, 5.046877, 6.722155,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 24.53265 , 27.119755, 26.921153, 28.211582, 26.787802, 26.267643,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + "var_key CLDLOW_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.484249, 1.363458, 1.151847, 1.184853,\n", + " 1.406124, 1.679048, 2.083276, 2.699036, 3.510783, 4.373375,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 1.428931, 1.363458, 1.151847, 1.184853,\n", + " 1.406124, 1.679048, 2.083276, 2.699036, 3.510783, 4.373375,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 2.182318, 4.534118, 4.810252, 4.755759, 7.591126, 10.469784,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 39.281719, 37.960055, 38.48202 , 37.21898 , 37.955631, 38.85693 ,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061146\n", + "Max relative difference: 2.47686554e-05\n", + " x: array([ 6.48259 , 7.032162, 8.168338, 10.670212, 11.995118, 13.340878,\n", + " 14.429191, 15.205507, 15.814261, 15.693725, 16.715162, 17.677505,\n", + " 19.150876, 19.576892, 20.216722, 21.049227, 22.324699, 24.589998,...\n", + " y: array([ 6.48259 , 7.032162, 8.168338, 10.670212, 11.995118, 13.340878,\n", + " 14.429191, 15.205507, 15.814261, 15.693725, 16.715162, 17.677505,\n", + " 19.150876, 19.576892, 20.216722, 21.049227, 22.324699, 24.589998,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.663766, 9.352386, 12.374152, 14.459126,\n", + " 17.169302, 18.363139, 19.672765, 20.744298, 22.064177, 24.981155,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 4.909472, 9.352386, 12.374152, 14.459126,\n", + " 17.169302, 18.363139, 19.672765, 20.744298, 22.064177, 24.981155,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 4.052755, 8.979892, 9.465165, 10.054856, 15.900496, 21.680996,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 72.94959 , 75.180491, 75.721322, 78.690177, 79.502482, 80.465552,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 180 (0.556%)\n", + "Max absolute difference: 0.00061132\n", + "Max relative difference: 1.05840129e-05\n", + " x: array([ 6.545985, 7.139061, 8.392006, 11.516488, 13.449367, 15.319527,\n", + " 17.182584, 18.434132, 19.263685, 19.077421, 20.377829, 21.93892 ,\n", + " 24.569706, 26.084629, 27.881661, 30.145176, 32.828553, 36.981647,...\n", + " y: array([ 6.545985, 7.139061, 8.392006, 11.516488, 13.449367, 15.319527,\n", + " 17.182584, 18.434132, 19.263685, 19.077421, 20.377828, 21.93892 ,\n", + " 24.569706, 26.084628, 27.881661, 30.145176, 32.828553, 36.981646,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 2.148015, 10.969964, 13.916991, 16.181666,\n", + " 19.454391, 21.16124 , 23.274337, 25.667828, 28.305911, 32.553575,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 6.338404, 10.969964, 13.916991, 16.181667,\n", + " 19.454391, 21.16124 , 23.274337, 25.667828, 28.305911, 32.553575,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 1.870437, 4.445774, 4.654913, 5.299097, 8.30937 , 11.211212,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 33.667874, 37.220435, 37.239302, 41.471195, 41.546851, 41.608623,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + "var_key CLDTOT_TAU9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.484249, 1.617579, 1.542839, 1.72254 ,\n", + " 2.28509 , 2.798101, 3.601572, 4.92353 , 6.241734, 7.572421,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 1.428931, 1.617579, 1.542839, 1.72254 ,\n", + " 2.28509 , 2.798101, 3.601572, 4.92353 , 6.241734, 7.572421,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + "var_key CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + "var_key CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + "var_key CLDHGH_TAU1.3_9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 2.841666,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, 8.524998,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + "var_key CLDHGH_TAU1.3_9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.204885, 0.682115, 1.070389, 1.753423,\n", + " 2.495639, 2.97833 , 3.746221, 4.015793, 4.277098, 4.910514,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 0.604578, 0.682115, 1.070389, 1.753423,\n", + " 2.495639, 2.97833 , 3.746221, 4.015793, 4.277098, 4.910514,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + "var_key CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + "var_key CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + "var_key CLDHGH_TAU1.3_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 10.675877,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, 32.027627,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + "var_key CLDHGH_TAU1.3_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.204885, 0.879539, 1.269787, 1.905216,\n", + " 2.764641, 3.309287, 4.264017, 4.998515, 5.625095, 6.605741,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 0.604578, 0.879539, 1.269787, 1.905216,\n", + " 2.764641, 3.309287, 4.264017, 4.998515, 5.625095, 6.605741,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + "var_key CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + "var_key CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + "var_key CLDHGH_TAU9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 7.834209,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, 23.502629,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + "var_key CLDHGH_TAU9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0.197424, 0.199398, 0.151793,\n", + " 0.269002, 0.330956, 0.517796, 0.982722, 1.347997, 1.695226,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 0. , 0.197424, 0.199398, 0.151793,\n", + " 0.269002, 0.330956, 0.517796, 0.982722, 1.347997, 1.695226,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 8.471089,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, 25.413268,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 1.663766, 9.298612, 12.20772 , 14.193612,\n", + " 16.819631, 17.998111, 19.324056, 20.295985, 21.57166 , 24.440842,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 4.909472, 9.298612, 12.20772 , 14.193612,\n", + " 16.819631, 17.998111, 19.324056, 20.295985, 21.57166 , 24.440842,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + "var_key CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU1.3_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 25.593424,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, 76.780271,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + "var_key CLDTOT_TAU1.3_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 2.148015, 10.91249 , 13.742969, 15.900276,\n", + " 19.086355, 20.755151, 22.864176, 25.167742, 27.737386, 31.900404,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 6.338404, 10.91249 , 13.742969, 15.900276,\n", + " 19.086355, 20.755151, 22.864176, 25.167742, 27.737385, 31.900404,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + "var_key CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + "var_key CLDTOT_TAU9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0. , 0. , 0. , 17.122334,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, 51.367002,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + "var_key CLDTOT_TAU9.4_MODIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ 0. , 0. , 0. , 0. , 0. , 0. ,\n", + " 0. , 0. , 0.484249, 1.613878, 1.535249, 1.706663,\n", + " 2.266725, 2.75704 , 3.54012 , 4.871757, 6.165725, 7.459562,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, 1.428931, 1.613878, 1.535249, 1.706663,\n", + " 2.266725, 2.75704 , 3.54012 , 4.871757, 6.165725, 7.459562,...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + "var_key PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + "var_key T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + "var_key TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + "var_key TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + "var_key TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + "var_key U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + "var_key Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/debug-654-zonal_mean_xy/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + "var_key SST\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "# We are mainly focusing on relative tolerance here (in percentage terms).\n", + "atol = 0\n", + "rtol = 1e-5\n", + "\n", + "for filepath_dev in DEV_GLOB:\n", + " if \"test.nc\" in filepath_dev or \"ref.nc\" in filepath_dev:\n", + " filepath_main = filepath_dev.replace(SET_DIR, \"main\")\n", + " print(\"Comparing:\")\n", + " print(filepath_dev, \"\\n\", filepath_main)\n", + " ds1 = xr.open_dataset(filepath_dev)\n", + " ds2 = xr.open_dataset(filepath_main)\n", + "\n", + " var_key = filepath_dev.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = filepath_dev.split(\"-\")[-4]\n", + "\n", + " print(\"var_key\", var_key)\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- Some remaining issues for mismatched `nan` locations and large relative diffs that will be resolved into another PR.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_run_script.py b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_run_script.py new file mode 100644 index 000000000..b5e933ff9 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_654-zonal_mean_xy_run_script.py @@ -0,0 +1,8 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "zonal_mean_xy" +SET_DIR = "debug-654-zonal_mean_xy" +# CFG_PATH = "auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_zonal_mean_xy_model_vs_obs.cfg" + +run_set(SET_NAME, SET_DIR) +# run_set(SET_NAME, SET_DIR, CFG_PATH, multiprocessing=False) diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_zonal_mean_xy_model_vs_obs.cfg b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_zonal_mean_xy_model_vs_obs.cfg new file mode 100644 index 000000000..0d9295256 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/debug_zonal_mean_xy_model_vs_obs.cfg @@ -0,0 +1,64 @@ +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud MODIS" +variables = ["CLDTOT_TAU1.3_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud MODIS" +variables = ["CLDTOT_TAU1.3_9.4_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud MODIS" +variables = ["CLDTOT_TAU9.4_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud MODIS" +variables = ["CLDHGH_TAU1.3_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "Cloud MODIS" +variables = ["CLDHGH_TAU1.3_9.4_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/diags.cfg b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/diags.cfg new file mode 100644 index 000000000..3f4268c6d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/diags.cfg @@ -0,0 +1,58 @@ +[#] +sets = ["zonal_mean_xy"] +case_id = "CERES-EBAF-surface-v4.1" +variables = ["FLNS"] +ref_name = "ceres_ebaf_surface_v4.1" +reference_name = "CERES-EBAF v4.1" +seasons = ["ANN"] + +[#] +sets = ["zonal_mean_xy"] +case_id = "MERRA2" +variables = ["TMQ"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["ANN"] + +#[#] +#sets = ["zonal_mean_xy"] +#case_id = "MERRA2" +#variables = ["TREFHT"] +#regions = ["global"] +#ref_name = "MERRA2" +#reference_name = "MERRA2 Reanalysis" +#seasons = ["ANN"] +#[#] +#sets = ["zonal_mean_xy"] +#case_id = "GPCP_OAFLux" +#variables = ["PminusE"] +#ref_name = "GPCP_OAFLux" +#reference_name = "PRECT(GPCP) minus QFLX(OAFLux)" +#seasons = ["ANN"] +## +#[#] +#sets = ["zonal_mean_xy"] +#case_id = "COREv2_Flux" +#variables = ["PminusE"] +#ref_name = "COREv2_Flux" +#reference_name = "COREv2_Flux" +#seasons = ["ANN"] +# +# +#[#] +#sets = ["zonal_mean_xy"] +#case_id = "GPCP_v3.2" +#variables = ["PRECT"] +#ref_name = "GPCP_v3.2" +#reference_name = "GPCP v3.2" +#seasons = ["ANN"] +#regions = ["global"] +# +#[#] +#sets = ["zonal_mean_xy"] +#case_id = "ERA5" +#variables = ["T"] +#ref_name = "ERA5" +#reference_name = "ERA5 Reanalysis" +#seasons = ["ANN"] +#plevs = [850.0] \ No newline at end of file diff --git a/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/run_zonal_mean_xy.py b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/run_zonal_mean_xy.py new file mode 100644 index 000000000..c26e87c22 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/654-zonal_mean_xy/test_refactor/run_zonal_mean_xy.py @@ -0,0 +1,42 @@ +import os +import sys + +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.run import runner + +param = CoreParameter() + +# Location of the data. +param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/climatology/" +) +param.test_data_path = ( + "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis/climatology/rgr" +) +# Name of the test model data, used to find the climo files. +param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" +# An optional, shorter name to be used instead of the test_name. +param.short_test_name = "v2rc3e" + +# What plotsets to run the diags on. +#param.sets = ["lat_lon"] +# Name of the folder where the results are stored. +# Change `prefix` to use your directory. +prefix = "/global/cfs/cdirs/e3sm/www/chengzhu/test_e3sm_refactor" +param.results_dir = os.path.join(prefix, "ex5_model_to_obs") + +# Below are more optional arguments. + +# Title of the difference plots. +param.diff_title = "Model - Obs." +# Save the netcdf files for each of the ref, test, and diff plot. +param.save_netcdf = True +# For running with multiprocessing. +# param.multiprocessing = True +# param.num_workers = 32 +# Use the specified `.cfg` file for debugging +CFG_PATH = "examples/test_refactor/diags.cfg" +sys.argv.extend(["-d", CFG_PATH]) + +runner.sets_to_run = ["zonal_mean_xy"] +runner.run_diags([param]) diff --git a/auxiliary_tools/cdat_regression_testing/base_run_script.py b/auxiliary_tools/cdat_regression_testing/base_run_script.py index 88c735d9b..52def949b 100644 --- a/auxiliary_tools/cdat_regression_testing/base_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/base_run_script.py @@ -5,6 +5,7 @@ # flake8: noqa E501 import os +import sys from typing import List, Tuple, TypedDict from mache import MachineInfo @@ -44,7 +45,15 @@ class MachinePaths(TypedDict): tc_test: str -def run_set(set_name: str, set_dir: str): +def run_set( + set_name: str, + set_dir: str, + cfg_path: str | None = None, + multiprocessing: bool = True, +): + if cfg_path is not None: + sys.argv.extend(["--diags", cfg_path]) + machine_paths: MachinePaths = _get_machine_paths() param = CoreParameter() @@ -58,7 +67,7 @@ def run_set(set_name: str, set_dir: str): ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] param.results_dir = os.path.join(BASE_RESULTS_DIR, set_dir) - param.multiprocessing = True + param.multiprocessing = multiprocessing param.num_workers = 5 # Make sure to save the netCDF files to compare outputs. @@ -251,7 +260,3 @@ def _get_test_data_dirs(machine: str) -> Tuple[str, str]: ) return test_data_dirs # type: ignore - - -if __name__ == "__main__": - run_set() diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb index a38b98351..9961a7b0c 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb @@ -26,7 +26,7 @@ "(dev and `main` branches).\n", "\n", "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", - "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" pandas matplotlib-base ipykernel`\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", "3. Run `mamba activate cdat_regression_test`\n", "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", "5. Run all cells IN ORDER.\n", diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb index a021b736b..971b4b7ac 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb @@ -20,7 +20,7 @@ "(dev and `main` branches).\n", "\n", "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", - "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray dask pandas matplotlib-base ipykernel`\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", "3. Run `mamba activate cdat_regression_test`\n", "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", "5. Run all cells IN ORDER.\n", diff --git a/auxiliary_tools/cdat_regression_testing/template_run_script.py b/auxiliary_tools/cdat_regression_testing/template_run_script.py index 43d3bef62..85c98ae17 100644 --- a/auxiliary_tools/cdat_regression_testing/template_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/template_run_script.py @@ -12,13 +12,23 @@ "meridional_mean_2d", "annual_cycle_zonal_mean", "enso_diags", "qbo", "area_mean_time_series", "diurnal_cycle", "streamflow", "arm_diags", "tc_analysis", "aerosol_aeronet", "aerosol_budget", "mp_partition", -6. Run this script - - Make sure to run this command on NERSC perlmutter cpu: - `salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm - conda activate ` - - python auxiliary_tools/cdat_regression_testing/ + +6. Run this script as a Python module + - `auxiliary_tools` is not included in `setup.py`, so `-m` is required + to run the script as a Python module + - Command: python -m auxiliary_tools.cdat_regression_testing.-. + - Example: python -m auxiliary_tools.cdat_regression_testing.660_cosp_histogram.run_script + 7. Make a copy of the CDAT regression testing notebook in the same directory as this script and follow the instructions there to start testing. + +8. Update `CFG_PATH` to a custom cfg file to debug specific variables. + - It is useful to create a custom cfg based on the default diags to debug + specific variables that are running into problems. + - For example, copy `zonal_mean_xy_model_vs_model.cfg` into the same directory + as the copy of this script, then modify it to specific variables. Afterwards + update `CFG_PATH` to the path of that .cfg file. + - Tip: Use VS Code to step through the code with the Python debugger. """ from auxiliary_tools.cdat_regression_testing.base_run_script import run_set @@ -30,4 +40,12 @@ # Example: "671-lat-lon" SET_DIR = "" -run_set(SET_NAME, SET_DIR) +# TODO: UPDATE CFG_PATH if using a custom cfg file for debugging. +# Example: "auxiliary_tools/cdat_regression_testing/654_zonal_mean_xy.cfg" +CFG_PATH: str | None = None + +# TODO: Update MULTIPROCESSING based on whether to run in parallel or +# serial. For debugging purposes, set to False to run serially. +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index 2b179243b..8e97e0fb4 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -87,6 +87,7 @@ ), (("pr",), lambda pr: qflxconvert_units(rename(pr))), (("PRECC", "PRECL"), lambda precc, precl: prect(precc, precl)), + (("sat_gauge_precip",), rename), ] ), "PRECST": OrderedDict( @@ -767,7 +768,7 @@ "QFLX", ), lambda precc, precl, qflx: pminuse_convert_units( - prect(precc, precl) - pminuse_convert_units(qflx) + prect(precc, precl) - qflxconvert_units(qflx) ), ), ( diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index 13c29bc57..85f65b906 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -77,15 +77,16 @@ def qflx_convert_to_lhflx_approxi(var: xr.DataArray): def pminuse_convert_units(var: xr.DataArray): - if ( - var.attrs["units"] == "kg/m2/s" - or var.attrs["units"] == "kg m-2 s-1" - or var.attrs["units"] == "kg/s/m^2" - ): - # need to find a solution for units not included in udunits - # var = convert_units( var, 'kg/m2/s' ) - var = var * 3600.0 * 24 # convert to mm/day - var.attrs["units"] = "mm/day" + if hasattr(var, "units"): + if ( + var.attrs["units"] == "kg/m2/s" + or var.attrs["units"] == "kg m-2 s-1" + or var.attrs["units"] == "kg/s/m^2" + ): + # need to find a solution for units not included in udunits + # var = convert_units( var, 'kg/m2/s' ) + var = var * 3600.0 * 24 # convert to mm/day + var.attrs["units"] = "mm/day" var.attrs["long_name"] = "precip. flux - evap. flux" return var diff --git a/e3sm_diags/derivations/formulas_cosp.py b/e3sm_diags/derivations/formulas_cosp.py index 3ee6fe9d1..f49f46a8f 100644 --- a/e3sm_diags/derivations/formulas_cosp.py +++ b/e3sm_diags/derivations/formulas_cosp.py @@ -116,19 +116,14 @@ def cosp_bin_sum(target_var_key: str, var: xr.DataArray) -> xr.DataArray: # 4. Get tau range and lim. tau_range, tau_lim = _get_tau_subset_range_and_str(tau, tau_adj_range) - # 4. Get the axes mask conditional and subset the variable on it. - cond = ( - (prs >= prs_range[0]) - & (prs <= prs_range[-1]) - & (tau >= tau_range[0]) - & (tau <= tau_range[-1]) - ) + # 5. Get the axes mask conditional and subset the variable on it. + cond = _get_prs_and_tau_cond(prs, tau, prs_range, tau_range) var_sub = var.where(cond, drop=True) - # 5. Sum on axis=0 and axis=1 (tau and prs) + # 7. Sum on axis=0 and axis=1 (tau and prs) var_sum = var_sub.sum(dim=[prs.name, tau.name]) - # 6. Set the variable's long name based on the original variable's name and + # 8. Set the variable's long name based on the original variable's name and # prs ranges. var_key = str(var.name) simulation = _get_simulation_str(var_key) @@ -137,7 +132,7 @@ def cosp_bin_sum(target_var_key: str, var: xr.DataArray) -> xr.DataArray: if simulation is not None and prs_cloud_level is not None: var_sum.attrs["long_name"] = f"{simulation}: {prs_cloud_level} with {tau_lim}" - # 7. Convert units to %. + # 9. Convert units to %. final_var = convert_units(var_sum, "%") return final_var @@ -215,18 +210,18 @@ def _get_prs_subset_range( A tuple of the (min, max) for the prs subset range. """ act_range = (prs[0].item(), prs[-1].item()) - final_range: List[float] = [] + range: List[float] = [] for act_val, adj_val in zip(act_range, prs_adj_range): if adj_val is not None: if prs.name in PRS_UNIT_ADJ_MAP.keys() and prs.max().item() > 1000: adj_val = adj_val * PRS_UNIT_ADJ_MAP[str(prs.name)] - final_range.append(adj_val) + range.append(adj_val) else: - final_range.append(act_val) + range.append(act_val) - return tuple(final_range) # type: ignore + return range # type: ignore def _get_tau_subset_range_and_str( @@ -260,7 +255,48 @@ def _get_tau_subset_range_and_str( range = (adj_min, adj_max) range_str = f"{adj_min} < tau < {adj_max}" - return range, range_str + final_range = tuple(range) + + return final_range, range_str # type: ignore + + +def _get_prs_and_tau_cond( + prs: xr.DataArray, + tau: xr.DataArray, + prs_range: Tuple[float, float], + tau_range: tuple[float, float], +) -> xr.DataArray: + """Get the prs and tau condition for sub-setting a variable. + + Parameters + ---------- + prs : xr.DataArray + The prs axis. + tau : xr.DataArray + The tau axis. + prs_range : Tuple[float, float] + The range of prs values to subset with. + tau_range : tuple[float, float] + The range of tau values to subset with. + + Returns + ------- + xr.DataArray + The condition dataarray. + """ + # Values must be sorted in ascending order to correctly subset within a + # range using Xarray's `.where()` method. + sorted_prs_range = sorted(list(prs_range)) + sorted_tau_range = sorted(list(tau_range)) + + cond = ( + (prs >= sorted_prs_range[0]) + & (prs <= sorted_prs_range[-1]) + & (tau >= sorted_tau_range[0]) + & (tau <= sorted_tau_range[-1]) + ) + + return cond def _get_simulation_str(var_key: str) -> Optional[str]: diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 3702e89be..9daa209ab 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -294,7 +294,8 @@ def get_ref_climo_dataset( # TODO: This logic was carried over from legacy implementation. It # can probably be improved on by setting `ds_ref = None` and not # performing unnecessary operations on `ds_ref` for model-only runs, - # since it is the same as `ds_test``. + # since it is the same as `ds_test``. In addition, returning ds_test makes it difficult for trouble shooting + if self.data_type == "ref": try: ds_ref = self.get_climo_dataset(var_key, season) @@ -304,6 +305,7 @@ def get_ref_climo_dataset( self.model_only = True logger.info("Cannot process reference data, analyzing test data only.") + else: raise RuntimeError( "`Dataset._get_ref_dataset` only works with " @@ -397,6 +399,11 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: ds = self._squeeze_time_dim(ds) + # slat and slon are lat lon pair for staggered FV grid included in + # remapped files. + if "slat" in ds.dims: + ds = ds.drop_dims(["slat", "slon"]) + return ds def _open_climo_dataset(self, filepath: str) -> xr.Dataset: @@ -615,6 +622,13 @@ def _get_dataset_with_derived_climo_var(self, ds: xr.Dataset) -> xr.Dataset: ------- xr.Dataset The dataset with the derived variable. + + Raises + ------ + IOError + If the datasets for the target variable and source variables were + not found in the data directory, or the target variable cannot be + found directly in the dataset. """ # An OrderedDict mapping possible source variables to the function # for deriving the variable of interest. @@ -627,32 +641,39 @@ def _get_dataset_with_derived_climo_var(self, ds: xr.Dataset) -> xr.Dataset: # and the derivation function is used to derive the target variable. # Example: # For target variable "PRECT": {('PRECC', 'PRECL'): func} - matching_target_var_map = self._get_matching_climo_src_vars( - ds, target_var, target_var_map - ) + matching_target_var_map = self._get_matching_climo_src_vars(ds, target_var_map) - # NOTE: Since there's only one set of vars, we get the first and only set - # of vars from the derived variable dictionary. - # 1. Get the derivation function. - derivation_func = list(matching_target_var_map.values())[0] + if matching_target_var_map is not None: + # NOTE: Since there's only one set of vars, we get the first and only set + # of vars from the derived variable dictionary. + # 1. Get the derivation function. + derivation_func = list(matching_target_var_map.values())[0] - # 2. Get the derivation function arguments using source variable keys. - # Example: [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] - src_var_keys = list(matching_target_var_map.keys())[0] + # 2. Get the derivation function arguments using source variable keys. + # Example: [xr.DataArray(name="PRECC",...), xr.DataArray(name="PRECL",...)] + src_var_keys = list(matching_target_var_map.keys())[0] - # 3. Use the derivation function to derive the variable. - ds_final = self._get_dataset_with_derivation_func( - ds, derivation_func, src_var_keys, target_var - ) + # 3. Use the derivation function to derive the variable. + ds_derived = self._get_dataset_with_derivation_func( + ds, derivation_func, src_var_keys, target_var + ) - return ds_final + return ds_derived + + # None of the entries in the derived variables dictionary worked, + # so try to get the variable directly from he dataset. + if target_var in ds.data_vars.keys(): + return ds + + raise IOError( + f"The dataset file has no matching source variables for {target_var}" + ) def _get_matching_climo_src_vars( self, dataset: xr.Dataset, - target_var: str, target_variable_map: DerivedVariableMap, - ) -> Dict[Tuple[str, ...], Callable]: + ) -> DerivedVariableMap | None: """Get the matching climatology source vars based on the target variable. Parameters @@ -667,15 +688,9 @@ def _get_matching_climo_src_vars( Returns ------- - DerivedVariableMap - The matching dictionary with the key being the source variables - and the value being the derivation function. - - Raises - ------ - IOError - If the datasets for the target variable and source variables were - not found in the data directory. + DerivedVariableMap | None + The optional matching dictionary with the key being the source + variables and the value being the derivation function. """ vars_in_file = set(dataset.data_vars.keys()) @@ -698,9 +713,7 @@ def _get_matching_climo_src_vars( # Return the corresponding dict. return {tuple(var_list): target_variable_map[var_tuple]} - raise IOError( - f"The dataset file has no matching source variables for {target_var}" - ) + return None # -------------------------------------------------------------------------- # Time series related methods diff --git a/e3sm_diags/driver/utils/io.py b/e3sm_diags/driver/utils/io.py index f7e1e16e8..35f867ad3 100644 --- a/e3sm_diags/driver/utils/io.py +++ b/e3sm_diags/driver/utils/io.py @@ -66,9 +66,7 @@ def _save_data_metrics_and_plots( logger.info(f"Metrics saved in {filepath}") # Set the viewer description to the "long_name" attr of the variable. - parameter.viewer_descr[var_key] = ds_test[var_key].attrs.get( - "long_name", "No long_name attr in test data" - ) + parameter.viewer_descr[var_key] = ds_test[var_key].attrs.get("long_name", var_key) # Get the function arguments and pass to the set's plotting function. args = [ diff --git a/e3sm_diags/driver/zonal_mean_xy_driver.py b/e3sm_diags/driver/zonal_mean_xy_driver.py index 195922f05..0ed41fd60 100755 --- a/e3sm_diags/driver/zonal_mean_xy_driver.py +++ b/e3sm_diags/driver/zonal_mean_xy_driver.py @@ -1,16 +1,21 @@ from __future__ import annotations -from typing import TYPE_CHECKING - -import cdms2 -import cdutil -import MV2 -import numpy - -from e3sm_diags.driver import utils +from typing import TYPE_CHECKING, List, Tuple + +import xarray as xr +import xcdat as xc +from scipy import interpolate + +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import ( + get_z_axis, + has_z_axis, + regrid_z_axis_to_plevs, +) from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, max_cdms, mean, min_cdms, rmse -from e3sm_diags.plot import plot +from e3sm_diags.metrics.metrics import spatial_avg +from e3sm_diags.plot.zonal_mean_xy_plot import plot as plot_func logger = custom_logger(__name__) @@ -18,245 +23,269 @@ from e3sm_diags.parameter.core_parameter import CoreParameter -def regrid_to_lower_res_1d(mv1, mv2): - """Regrid 1-D transient variable toward lower resolution of two variables.""" - - if mv1 is None or mv2 is None: - return None - # missing = mv1.get_fill_value() - # latitude needs to be in ascending - axis1 = mv1.getAxisList()[0] - axis2 = mv2.getAxisList()[0] - if axis1[-1] < axis1[0]: - mv1 = mv1[::-1] - if axis2[-1] < axis2[0]: - mv2 = mv2[::-1] - axis1 = mv1.getAxisList()[0] - axis2 = mv2.getAxisList()[0] - - if len(axis1) <= len(axis2): - missing = mv2.get_fill_value() - mv1_reg = mv1 - b0 = numpy.interp(axis1[:], axis2[:], mv2[:], left=missing, right=missing) - b0_mask = numpy.interp( - axis1[:], axis2[:], mv2.mask[:], left=missing, right=missing - ) - mv2_reg = cdms2.createVariable( - b0, - mask=[ - True if bb == missing or bb_mask != 0.0 else False - for (bb, bb_mask) in zip(b0[:], b0_mask[:]) - ], - axes=[axis1], - ) - else: - missing = mv1.get_fill_value() - a0 = numpy.interp(axis2[:], axis1[:], mv1[:], left=missing, right=missing) - a0_mask = numpy.interp( - axis2[:], axis1[:], mv1.mask[:], left=missing, right=missing - ) - mv1_reg = cdms2.createVariable( - a0, - mask=[ - True if aa == missing or aa_mask != 0.0 else False - for (aa, aa_mask) in zip(a0[:], a0_mask[:]) - ], - axes=[axis2], - ) - mv2_reg = mv2 - - return mv1_reg, mv2_reg - - -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - metrics_dict = {} - metrics_dict["ref"] = { - "min": min_cdms(ref), - "max": max_cdms(ref), - "mean": mean(ref), - } - metrics_dict["test"] = { - "min": min_cdms(test), - "max": max_cdms(test), - "mean": mean(test), - } - - metrics_dict["diff"] = { - "min": min_cdms(diff), - "max": max_cdms(diff), - "mean": mean(diff), - } - metrics_dict["misc"] = { - "rmse": rmse(test_regrid, ref_regrid), - "corr": corr(test_regrid, ref_regrid), - } - - return metrics_dict +def run_diag(parameter: CoreParameter) -> CoreParameter: + """Get zonal mean results for the zonal_mean_xy diagnostic set. + This function loops over each variable, season, pressure level (if 3-D). -def run_diag(parameter: CoreParameter) -> CoreParameter: + NOTE: zonal_mean_xy set only supports "global" region. + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + + Returns + ------- + CoreParameter + The parameter for the diagnostic with the result (completed or failed). + + Raises + ------ + RuntimeError + If the dimensions of the test and reference datasets are not aligned + (e.g., one is 2-D and the other is 3-D). + """ variables = parameter.variables seasons = parameter.seasons ref_name = getattr(parameter, "ref_name", "") regions = parameter.regions - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) - - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var - - mv1 = test_data.get_climo_variable(var, season) - mv2 = ref_data.get_climo_variable(var, season) - - parameter.viewer_descr[var] = ( - mv1.long_name - if hasattr(mv1, "long_name") - else "No long_name attr in test data." + for region in regions: + if region != "global": + raise RuntimeError( + f"Region ({region}) is not supported. Only global region is currently " + "supported for the zonal_mean_xy set." ) - # Special case, cdms didn't properly convert mask with fill value - # -999.0, filed issue with Denis. - if ref_name == "WARREN": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 == -0.9, mv2) - # The following should be moved to a derived variable. - if ref_name == "AIRS": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 > 1e20, mv2) - if ref_name == "WILLMOTT" or ref_name == "CLOUDSAT": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 == -999.0, mv2) - - # The following should be moved to a derived variable. - if var == "PRECT_LAND": - days_season = { - "ANN": 365, - "DJF": 90, - "MAM": 92, - "JJA": 92, - "SON": 91, - } - # mv1 = mv1 * days_season[season] * 0.1 # following AMWG - # Approximate way to convert to seasonal cumulative - # precipitation, need to have solution in derived variable, - # unit convert from mm/day to cm. - mv2 = ( - mv2 / days_season[season] / 0.1 - ) # Convert cm to mm/day instead. - mv2.units = "mm/day" - - # For variables with a z-axis. - if mv1.getLevel() and mv2.getLevel(): - plev = parameter.plevs - logger.info("Selected pressure level: {}".format(plev)) - - mv1_p = utils.general.convert_to_pressure_levels( - mv1, plev, test_data, var, season + # Variables storing xarray `Dataset` objects start with `ds_` and + # variables storing e3sm_diags `Dataset` objects end with `_ds`. This + # is to help distinguish both objects from each other. + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key + + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) + + ds_test = test_ds.get_climo_dataset(var_key, season) + # TODO consider to refactor the behavior of get_ref_climo_dataset + ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + + # Store the variable's DataArray objects for reuse. + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] + + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) + + if not is_vars_3d: + _run_diags_2d( + parameter, + ds_test, + ds_ref, + season, + regions, + var_key, + ref_name, ) - mv2_p = utils.general.convert_to_pressure_levels( - mv2, plev, test_data, var, season + elif is_vars_3d: + _run_diags_3d( + parameter, + ds_test, + ds_ref, + season, + regions, + var_key, + ref_name, ) - # Select plev. - for ilev in range(len(plev)): - mv1 = mv1_p[ilev,] - mv2 = mv2_p[ilev,] - - for region in regions: - logger.info(f"Selected region: {region}") - mv1_zonal = cdutil.averager(mv1, axis="x") - mv2_zonal = cdutil.averager(mv2, axis="x") - - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - mv1_reg, mv2_reg = regrid_to_lower_res_1d(mv1_zonal, mv2_zonal) - - diff = mv1_reg - mv2_reg - parameter.output_file = "-".join( - [ - ref_name, - var, - str(int(plev[ilev])), - season, - region, - ] - ) - parameter.main_title = str( - " ".join( - [ - var, - str(int(plev[ilev])), - "mb", - season, - region, - ] - ) - ) - - parameter.var_region = region - plot( - parameter.current_set, - mv2_zonal, - mv1_zonal, - diff, - {}, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_zonal, - mv2_zonal, - diff, - parameter, - ) - - # For variables without a z-axis. - elif mv1.getLevel() is None and mv2.getLevel() is None: - for region in regions: - logger.info(f"Selected region: {region}") - mv1_zonal = cdutil.averager(mv1, axis="x") - mv2_zonal = cdutil.averager(mv2, axis="x") - - mv1_reg, mv2_reg = regrid_to_lower_res_1d(mv1_zonal, mv2_zonal) - - diff = mv1_reg - mv2_reg - - parameter.output_file = "-".join([ref_name, var, season, region]) - parameter.main_title = str(" ".join([var, season, region])) - - parameter.var_region = region - - plot( - parameter.current_set, - mv2_zonal, - mv1_zonal, - diff, - {}, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_zonal, - mv2_zonal, - diff, - parameter, - ) - - else: + elif is_dims_diff: raise RuntimeError( "Dimensions of the two variables are different. Aborting." ) return parameter + + +def _run_diags_2d( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run diagnostics on a 2D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + for region in regions: + logger.info(f"Selected region: {region}") + + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) + + da_test_1d, da_ref_1d = _calc_zonal_mean(ds_test, ds_ref, var_key) + da_diff_1d = _get_diff_of_zonal_means(da_test_1d, da_ref_1d) + + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + da_test_1d.to_dataset(), + da_ref_1d.to_dataset(), + da_diff_1d.to_dataset(), + metrics_dict=None, + ) + + +def _run_diags_3d( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run diagnostics on a 3D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + plev = parameter.plevs + logger.info("Selected pressure level(s): {}".format(plev)) + + ds_test_rg = regrid_z_axis_to_plevs(ds_test, var_key, parameter.plevs) + ds_ref_rg = regrid_z_axis_to_plevs(ds_ref, var_key, parameter.plevs) + + for ilev in plev: + z_axis_key = get_z_axis(ds_test_rg[var_key]).name + ds_test_ilev = ds_test_rg.sel({z_axis_key: ilev}) + ds_ref_ilev = ds_ref_rg.sel({z_axis_key: ilev}) + + for region in regions: + logger.info(f"Selected region: {region}") + + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) + + da_test_1d, da_ref_1d = _calc_zonal_mean(ds_test_ilev, ds_ref_ilev, var_key) + da_diff_1d = _get_diff_of_zonal_means(da_test_1d, da_ref_1d) + + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + da_test_1d.to_dataset(), + da_ref_1d.to_dataset(), + da_diff_1d.to_dataset(), + metrics_dict=None, + ) + + +def _calc_zonal_mean( + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + var_key: str, +) -> Tuple[xr.DataArray, xr.DataArray]: + """Calculate zonal mean metrics. + + # TODO: Write unit tests for this function. + + Parameters + ---------- + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + var_key : str + The key of the variable. + + Returns + ------- + Tuple[xr.DataArray, xr.DataArray] + A Tuple containing the zonal mean for the test variable and the ref + variable. + """ + da_test_1d = spatial_avg(ds_test, var_key, axis=["X"], as_list=False) + da_ref_1d = spatial_avg(ds_ref, var_key, axis=["X"], as_list=False) + + return da_test_1d, da_ref_1d # type: ignore + + +def _get_diff_of_zonal_means(da_a: xr.DataArray, da_b: xr.DataArray) -> xr.DataArray: + """Get the difference between the zonal means of two variables. + + Both variables are aligned to the same grid (lower resolution of the two) + and the difference is calculated. + + # TODO: Write unit tests for this function + + Parameters + ---------- + da_a : xr.DataArray + The first variable. + da_b : xr.DataArray + The second variable. + + Returns + ------- + xr.DataArray + The difference between the zonal means of two variables. + """ + + with xr.set_options(keep_attrs=True): + lat_a = xc.get_dim_coords(da_a, axis="Y") + lat_b = xc.get_dim_coords(da_b, axis="Y") + if len(lat_a) > len(lat_b): + interpf = interpolate.interp1d(lat_a, da_a.values, bounds_error=False) + da_a_new = da_b.copy(data=interpf(lat_b)) + + return da_a_new - da_b.copy() + else: + interpf = interpolate.interp1d(lat_b, da_b.values, bounds_error=False) + da_b_new = da_a.copy(data=interpf(lat_a)) + + return da_a.copy() - da_b_new diff --git a/e3sm_diags/metrics/metrics.py b/e3sm_diags/metrics/metrics.py index 68410f08a..bb2e018bb 100644 --- a/e3sm_diags/metrics/metrics.py +++ b/e3sm_diags/metrics/metrics.py @@ -30,6 +30,9 @@ def spatial_avg( axis : List[Axis] The list of axes to use for the computation, by default ["X", "Y"]. Valid axes including "X", "Y", and "Z". + The key of the variable. + axis : List[str] + A list of axis strings, by default ["X", "Y"]. as_list : bool Return the spatial average as a list of floats, by default True. If False, return an xr.DataArray. Must be True to be serializable for diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index 9b48b3440..fd85efe92 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -272,7 +272,7 @@ def _set_param_output_attrs( else: ilev_str = str(int(ilev)) output_file = f"{ref_name}-{var_key}-{ilev_str}-{season}-{region}" - main_title = f"{var_key} {ilev_str} 'mb' {season} {region}" + main_title = f"{var_key} {ilev_str} mb {season} {region}" self.output_file = output_file self.main_title = main_title diff --git a/e3sm_diags/plot/zonal_mean_xy_plot.py b/e3sm_diags/plot/zonal_mean_xy_plot.py new file mode 100644 index 000000000..f72b3d8ae --- /dev/null +++ b/e3sm_diags/plot/zonal_mean_xy_plot.py @@ -0,0 +1,109 @@ +import matplotlib +import xarray as xr +import xcdat as xc + +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.utils import _save_plot + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +# Plot title and side title configurations. +PLOT_TITLE = {"fontsize": 12.5} +PLOT_SIDE_TITLE = {"fontsize": 11.5} + +# Position and sizes of subplot axes in page coordinates (0 to 1) +PANEL_CONFIGS = [ + (0.1500, 0.5500, 0.7500, 0.3000), + (0.1500, 0.1300, 0.7500, 0.3000), +] + +# Border padding relative to subplot axes for saving individual PANELs +# (left, bottom, right, top) in page coordinates +BORDER_PADDING = (-0.14, -0.06, 0.04, 0.08) + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, +): + """Plot the variable's metrics generated for the zonal_mean_xy set. + + Parameters + ---------- + parameter : CoreParameter + The CoreParameter object containing plot configurations. + da_test : xr.DataArray + The test data. + da_ref : xr.DataArray + The reference data. + da_diff : xr.DataArray + The difference data. + """ + # Create figure + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + lat_test = xc.get_dim_coords(da_test, axis="Y") + lat_ref = xc.get_dim_coords(da_ref, axis="Y") + lat_diff = xc.get_dim_coords(da_diff, axis="Y") + long_name = parameter.viewer_descr[parameter.var_id] + + # Top PANEL + ax1 = fig.add_axes(PANEL_CONFIGS[0]) + ax1.plot(lat_test, da_test.values, "k", linewidth=2) + ax1.plot( + lat_ref, + da_ref.values, + "r", + linewidth=2, + ) + ax1.set_xticks([-90, -60, -30, 0, 30, 60, 90]) + ax1.set_xlim(-90, 90) + ax1.tick_params(labelsize=11.0, direction="out", width=1) + ax1.xaxis.set_ticks_position("bottom") + ax1.set_ylabel(long_name + " (" + da_test.units + ")") + + test_title = "Test" if parameter.test_title == "" else parameter.test_title + test_title += " : {}".format(parameter.test_name_yrs) + ref_title = ( + "Reference" if parameter.reference_title == "" else parameter.reference_title + ) + ref_title += " : {}".format(parameter.ref_name_yrs) + fig.text( + PANEL_CONFIGS[0][0], + PANEL_CONFIGS[0][1] + PANEL_CONFIGS[0][3] + 0.03, + test_title, + ha="left", + fontdict=PLOT_SIDE_TITLE, + color="black", + ) + fig.text( + PANEL_CONFIGS[0][0], + PANEL_CONFIGS[0][1] + PANEL_CONFIGS[0][3] + 0.01, + ref_title, + ha="left", + fontdict=PLOT_SIDE_TITLE, + color="red", + ) + + # Bottom PANEL + ax2 = fig.add_axes(PANEL_CONFIGS[1]) + ax2.plot(lat_diff, da_diff.values, "k", linewidth=2) + ax2.axhline(y=0, color="0.5") + ax2.set_title(parameter.diff_title, fontdict=PLOT_SIDE_TITLE, loc="center") + ax2.set_xticks([-90, -60, -30, 0, 30, 60, 90]) + ax2.set_xlim(-90, 90) + ax2.tick_params(labelsize=11.0, direction="out", width=1) + ax2.xaxis.set_ticks_position("bottom") + ax2.set_ylabel(long_name + " (" + da_test.units + ")") + + # Figure title + fig.suptitle(parameter.main_title, x=0.5, y=0.95, fontsize=18) + + _save_plot(fig, parameter, PANEL_CONFIGS, BORDER_PADDING) + + plt.close() diff --git a/tests/e3sm_diags/derivations/test_formulas_cosp.py b/tests/e3sm_diags/derivations/test_formulas_cosp.py index bb2f4c71c..cb8b1e554 100644 --- a/tests/e3sm_diags/derivations/test_formulas_cosp.py +++ b/tests/e3sm_diags/derivations/test_formulas_cosp.py @@ -393,7 +393,7 @@ def test_returns_sum(self): expected = xr.DataArray( name="CLD_MISR", - data=np.array(0.0), + data=np.array(6.0), attrs={"long_name": "MISR: total cloud fraction with tau > 1.3"}, ) diff --git a/tests/e3sm_diags/fixtures.py b/tests/e3sm_diags/fixtures.py index 4f6da58da..ec4278853 100644 --- a/tests/e3sm_diags/fixtures.py +++ b/tests/e3sm_diags/fixtures.py @@ -81,6 +81,7 @@ def generate_lev_dataset( ds["lev"].attrs["axis"] = "Z" ds["lev"].attrs["bounds"] = "lev_bnds" ds["lev"].attrs["long_name"] = long_name + ds["so"].attrs["units"] = "ppt" if pressure_vars: ds["ps"] = xr.DataArray( diff --git a/tests/e3sm_diags/metrics/test_metrics.py b/tests/e3sm_diags/metrics/test_metrics.py index fd4e8a339..4e983b6a0 100644 --- a/tests/e3sm_diags/metrics/test_metrics.py +++ b/tests/e3sm_diags/metrics/test_metrics.py @@ -127,6 +127,22 @@ def test_returns_spatial_avg_for_x_y_as_xr_dataarray(self): assert isinstance(result, xr.DataArray) np.testing.assert_allclose(expected, result, atol=1e-5, rtol=1e-5) + def test_returns_spatial_avg_for_x(self): + expected = [[1.5, 1.5], [1.0, 1.5], [1.5, 1.5]] + result = spatial_avg(self.ds, "ts", axis=["X"]) + + np.testing.assert_allclose(expected, result, atol=1e-5, rtol=1e-5) + + def test_returns_spatial_avg_for_y(self): + expected = [ + [1.0, 2.0], + [1.0, 1.4999238359780462], + [1.5000761640219538, 1.4999238359780462], + ] + result = spatial_avg(self.ds, "ts", axis=["Y"]) + + np.testing.assert_allclose(expected, result, atol=1e-5, rtol=1e-5) + class TestStd: @pytest.fixture(autouse=True) From 088badfe7ad75adf9ea8752cdc0db96afcea9493 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 26 Feb 2024 14:16:41 -0800 Subject: [PATCH 09/41] CDAT Migration - Update run script output directory to NERSC public webserver (#793) --- ...92_lat_lon_cdat_regression_test_json.ipynb | 482 +++++++++++ ..._lat_lon_cdat_regression_test_netcdf.ipynb | 794 ++++++++++++++++++ .../792_lat_lon_run_script.py | 8 + .../base_run_script.py | 9 +- .../template_cdat_regression_test_json.ipynb | 4 +- ...template_cdat_regression_test_netcdf.ipynb | 4 +- .../template_run_script.py | 12 +- 7 files changed, 1300 insertions(+), 13 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb new file mode 100644 index 000000000..b14897a51 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb @@ -0,0 +1,482 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.json` metrics)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 21\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[0;32m---> 21\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH." + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"lat_lon\"\n", + "SET_DIR = \"792-lat-lon\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine all DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_main.add_suffix(\"_main\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")\n", + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = sort_columns(df_final)\n", + "df_final = update_diffs_to_pct(df_final)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Review variables and metrics above difference threshold.\n", + "\n", + "- Red cells are differences >= 2%\n", + "- `nan` cells are differences < 2% and **should be ignored**\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "* Related variables ['FSNTOA', 'LHFLX', 'LWCF', 'NET_FLUX_SRF', 'PRECT', 'PSL', 'RESTOM', 'TREFHT']\n", + "* Number of metrics above 2% max threshold: 11 / 96\n" + ] + } + ], + "source": [ + "remove_metrics = [\"min\", \"max\"]\n", + "df_metrics_sub = df_final.reset_index(names=[\"var_key\", \"metric\"])\n", + "df_metrics_sub = df_metrics_sub[~df_metrics_sub.metric.isin(remove_metrics)]\n", + "get_num_metrics_above_diff_thres(df_metrics_all, df_metrics_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 var_keymetrictest_devtest_maintest DIFF (%)ref_devref_mainref DIFF (%)test_regrid_devtest_regrid_maintest_regrid DIFF (%)ref_regrid_devref_regrid_mainref_regrid DIFF (%)misc_devmisc_mainmisc DIFF (%)
5FSNTOAmean239.859777240.001860nan241.439641241.544384nan239.859777240.001860nan241.439641241.544384nannannannan
8LHFLXmean88.37960988.470270nan88.96955088.976266nan88.37960988.470270nan88.96955088.976266nannannannan
11LWCFmean24.37322424.370539nan24.40669724.391579nan24.37322424.370539nan24.40669724.391579nannannannan
16NET_FLUX_SRFmean0.3940160.51633031.04%-0.0681860.068584200.58%0.3940160.51633031.04%-0.0681860.068584200.58%nannannan
19PRECTmean3.0538023.056760nan3.0748853.074978nan3.0538023.056760nan3.0748853.074978nannannannan
21PSLrmsenannannannannannannannannannannannan1.0428840.9799816.03%
23RESTOMmean0.4815490.65656036.34%0.0180410.162984803.40%0.4815490.65656036.34%0.0180410.162984803.40%nannannan
34TREFHTmean14.76994614.741707nan13.84201313.800258nan14.76994614.741707nan13.84201313.800258nannannannan
35TREFHTmean9.2142249.114572nan8.0833497.957917nan9.2142249.114572nan8.0833497.957917nannannannan
40TREFHTrmsenannannannannannannannannannannannan1.1607181.1799952.68%
41TREFHTrmsenannannannannannannannannannannannan1.3431691.3791412.68%
\n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_metrics_sub)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## `NET_FLUX_SRF` and `RESTOM` contain the highest differences and should be investigated further\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..550a94de6 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,794 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[7], line 21\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[0;32m---> 21\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH." + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"lat_lon\"\n", + "SET_DIR = \"792-lat-lon\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc!\n", + "No file found to compare with 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found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc!\n", + "No file found to compare with 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found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc!\n", + "No file found to compare with 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found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_diff.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc!\n", + "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc!\n", + "Number of files missing: 496\n" + ] + } + ], + "source": [ + "missing_count = 0\n", + "for filepath_main in MAIN_GLOB:\n", + " filepath_dev = filepath_main.replace(\"main\", SET_DIR)\n", + " try:\n", + " ds = xr.open_dataset(filepath_dev)\n", + " except OSError:\n", + " print(f\"No file found to compare with {filepath_main}!\")\n", + " missing_count += 1\n", + "\n", + "print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_var_to_filepath_map():\n", + " var_to_file = defaultdict(lambda: defaultdict(dict))\n", + "\n", + " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", + " # Example:\n", + " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", + " file_arr = dev_file.split(\"/\")\n", + "\n", + " # Example: \"test\"\n", + " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", + "\n", + " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", + " # does not make sense.\n", + " if data_type == \"test\" or data_type == \"ref\":\n", + " # Example: \"ISCCP\"\n", + " model = file_arr[-2].split(\"-\")[0]\n", + " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "\n", + " var_to_file[model][data_type][season] = (dev_file, main_file)\n", + "\n", + " return var_to_file\n", + "\n", + "\n", + "def _get_relative_diffs(var_to_filepath):\n", + " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for model, data_types in var_to_filepath.items():\n", + " for _, seasons in data_types.items():\n", + " for _, filepaths in seasons.items():\n", + " print(\"Comparing:\")\n", + " print(filepaths[0], \"\\n\", filepaths[1])\n", + " ds1 = xr.open_dataset(filepaths[0])\n", + " ds2 = xr.open_dataset(filepaths[1])\n", + "\n", + " try:\n", + " var_key = f\"COSP_HISTOGRAM_{model}\"\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "var_to_filepaths = _get_var_to_filepath_map()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 42 / 42 (100%)\n", + "Max absolute difference: 4.23048367e-05\n", + "Max relative difference: 1.16682146e-05\n", + " x: array([[0.703907, 2.669376, 3.065526, 1.579834, 0.363847, 0.128541],\n", + " [0.147366, 1.152637, 3.67049 , 3.791006, 1.398453, 0.392103],\n", + " [0.07496 , 0.474791, 1.37002 , 1.705649, 0.786423, 0.346744],...\n", + " y: array([[0.703899, 2.669347, 3.065492, 1.579816, 0.363843, 0.12854 ],\n", + " [0.147364, 1.152624, 3.670448, 3.790965, 1.398438, 0.392099],\n", + " [0.074959, 0.474786, 1.370004, 1.705629, 0.786415, 0.34674 ],...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 42 / 42 (100%)\n", + "Max absolute difference: 4.91806181e-05\n", + "Max relative difference: 1.3272405e-05\n", + " x: array([[0.62896 , 2.657657, 3.206268, 1.704946, 0.398659, 0.169424],\n", + " [0.147569, 1.228835, 3.697387, 3.727142, 1.223123, 0.436504],\n", + " [0.072129, 0.508413, 1.167637, 1.412202, 0.638085, 0.362268],...\n", + " y: array([[0.628952, 2.657625, 3.206227, 1.704924, 0.398654, 0.169422],\n", + " [0.147567, 1.228819, 3.697338, 3.727093, 1.223107, 0.436498],\n", + " [0.072128, 0.508407, 1.167622, 1.412183, 0.638076, 0.362263],...\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc \n", + " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs(var_to_filepaths)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- The relative tolerance of all files are 1e-05, which means things should be good to go.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py new file mode 100644 index 000000000..224c657db --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py @@ -0,0 +1,8 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "lat_lon" +SET_DIR = "792-lat-lon" +CFG_PATH: str | None = None +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/base_run_script.py b/auxiliary_tools/cdat_regression_testing/base_run_script.py index 52def949b..c24693229 100644 --- a/auxiliary_tools/cdat_regression_testing/base_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/base_run_script.py @@ -28,7 +28,7 @@ from e3sm_diags.run import runner # The location where results will be stored based on your branch changes. -BASE_RESULTS_DIR = "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/" +BASE_RESULTS_DIR = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/" class MachinePaths(TypedDict): @@ -46,7 +46,7 @@ class MachinePaths(TypedDict): def run_set( - set_name: str, + set_name: str | List[str], set_dir: str, cfg_path: str | None = None, multiprocessing: bool = True, @@ -154,7 +154,10 @@ def run_set( mp_param.test_start_yr = "0051" mp_param.test_end_yr = "0060" - runner.sets_to_run = [set_name] + if isinstance(set_name, str): + runner.sets_to_run = [set_name] + else: + runner.sets_to_run = set_name runner.run_diags( [ diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb index 9961a7b0c..0dac6c448 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb @@ -57,8 +57,8 @@ "SET_NAME = \"cosp_histogram\"\n", "SET_DIR = \"660-cosp-histogram\"\n", "\n", - "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", - "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", "\n", "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb index 971b4b7ac..d48f993df 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb @@ -51,8 +51,8 @@ "SET_NAME = \"\"\n", "SET_DIR = \"\"\n", "\n", - "DEV_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/{SET_DIR}/{SET_NAME}/**\"\n", - "MAIN_PATH = f\"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/{SET_NAME}/**\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", "\n", "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", diff --git a/auxiliary_tools/cdat_regression_testing/template_run_script.py b/auxiliary_tools/cdat_regression_testing/template_run_script.py index 85c98ae17..14764e0da 100644 --- a/auxiliary_tools/cdat_regression_testing/template_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/template_run_script.py @@ -12,17 +12,17 @@ "meridional_mean_2d", "annual_cycle_zonal_mean", "enso_diags", "qbo", "area_mean_time_series", "diurnal_cycle", "streamflow", "arm_diags", "tc_analysis", "aerosol_aeronet", "aerosol_budget", "mp_partition", - 6. Run this script as a Python module - `auxiliary_tools` is not included in `setup.py`, so `-m` is required to run the script as a Python module - Command: python -m auxiliary_tools.cdat_regression_testing.-. - Example: python -m auxiliary_tools.cdat_regression_testing.660_cosp_histogram.run_script - -7. Make a copy of the CDAT regression testing notebook in the same directory +7. Run `chown -R o=rx ` to allow public access to viewer outputs on the NERSC webserver + - Example: `chown -R o=rx /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/654-zonal_mean_xy` + - https://portal.nersc.gov/project/e3sm/cdat-migration-fy24/ +8. Make a copy of the CDAT regression testing notebook in the same directory as this script and follow the instructions there to start testing. - -8. Update `CFG_PATH` to a custom cfg file to debug specific variables. +9. Update `CFG_PATH` to a custom cfg file to debug specific variables. - It is useful to create a custom cfg based on the default diags to debug specific variables that are running into problems. - For example, copy `zonal_mean_xy_model_vs_model.cfg` into the same directory @@ -36,7 +36,7 @@ # Example: "lat_lon" SET_NAME = "" # TODO: Update SET_DIR to . This string gets appended -# to the base results_dir, "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/". +# to the base results_dir, "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/". # Example: "671-lat-lon" SET_DIR = "" From daeaa713fe98dc4c13f10c3fcb851d2ba7644fd4 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 27 Feb 2024 13:43:07 -0800 Subject: [PATCH 10/41] [PR]: CDAT Migration: Refactor `aerosol_aeronet` set (#788) --- .../672_aerosol_aeronet_run_script.py | 8 + .../dev-results/AERONET-AODABS-ANN-global.png | Bin 0 -> 221047 bytes .../dev-results/AERONET-AODVIS-ANN-global.png | Bin 0 -> 223325 bytes .../AERONET-AODABS-ANN-global.png | Bin 0 -> 223956 bytes .../AERONET-AODVIS-ANN-global.png | Bin 0 -> 226138 bytes e3sm_diags/driver/aerosol_aeronet_driver.py | 160 +++++--- e3sm_diags/driver/zonal_mean_2d_driver.py | 2 +- e3sm_diags/plot/aerosol_aeronet_plot.py | 114 ++++++ .../plot/cartopy/aerosol_aeronet_plot.py | 132 ------- .../plot/cartopy/deprecated_lat_lon_plot.py | 360 ------------------ .../zonal_mean_2d_stratosphere_plot.py | 15 - e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py | 138 ------- e3sm_diags/plot/utils.py | 6 +- .../plot/{cartopy => }/zonal_mean_2d_plot.py | 0 14 files changed, 226 insertions(+), 709 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/672_aerosol_aeronet_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/dev-results/AERONET-AODABS-ANN-global.png create mode 100644 auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/dev-results/AERONET-AODVIS-ANN-global.png create mode 100644 auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/main-results/AERONET-AODABS-ANN-global.png create mode 100644 auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/main-results/AERONET-AODVIS-ANN-global.png create mode 100644 e3sm_diags/plot/aerosol_aeronet_plot.py delete mode 100644 e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py delete mode 100644 e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py delete mode 100644 e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py delete mode 100644 e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py rename e3sm_diags/plot/{cartopy => }/zonal_mean_2d_plot.py (100%) diff --git a/auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/672_aerosol_aeronet_run_script.py b/auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/672_aerosol_aeronet_run_script.py new file mode 100644 index 000000000..6b67b309f --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/672-aerosol-aeronet/672_aerosol_aeronet_run_script.py @@ -0,0 +1,8 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "aerosol_aeronet" +SET_DIR = "672-aerosol-aeronet" +CFG_PATH: str | None = None +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git 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zRXnitv^~2Kv?30;lKMJuQ4w$v;{G`rkX-`@rrhWi=X?0*Q~hK&;Eh6?ei@zyM)R$0 zxvPPV;g!Ip_I<$R1t4%>3aGsaJkntElKXMz*8;B>0QzzraJ%)A+t=^jjRmcv0S!|2Er`)@ r91TZE#wMrzIhuM#QxDBj&&U4^`>q}qckyBXcho&y{an^LB{Ts5XeS5r literal 0 HcmV?d00001 diff --git a/e3sm_diags/driver/aerosol_aeronet_driver.py b/e3sm_diags/driver/aerosol_aeronet_driver.py index 4010ed606..f185d979a 100644 --- a/e3sm_diags/driver/aerosol_aeronet_driver.py +++ b/e3sm_diags/driver/aerosol_aeronet_driver.py @@ -1,20 +1,22 @@ from __future__ import annotations import os -from typing import TYPE_CHECKING, Optional +from typing import TYPE_CHECKING import numpy as np import pandas as pd +import xarray as xr +import xcdat as xc from scipy import interpolate import e3sm_diags from e3sm_diags.driver import utils +from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy import aerosol_aeronet_plot +from e3sm_diags.metrics.metrics import spatial_avg +from e3sm_diags.plot import aerosol_aeronet_plot if TYPE_CHECKING: - from cdms2.tvariable import TransientVariable - from e3sm_diags.parameter.core_parameter import CoreParameter @@ -25,74 +27,110 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: - """Runs the aerosol aeronet diagnostic. - - :param parameter: Parameters for the run - :type parameter: CoreParameter - :raises ValueError: Invalid run type - :return: Parameters for the run - :rtype: CoreParameter + """Run the aerosol aeronet diagnostics. + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + + Returns + ------- + CoreParameter + The parameter for the diagnostic with the result (completed or failed). + + Raises + ------ + ValueError + If the run type is not valid. """ variables = parameter.variables run_type = parameter.run_type seasons = parameter.seasons - for season in seasons: - test_data = utils.dataset.Dataset(parameter, test=True) - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = "AERONET (2006-2015)" + test_ds = Dataset(parameter, data_type="test") - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key - test = test_data.get_climo_variable(var, season) - test_site = interpolate_model_output_to_obs_sites(test, var) + for season in seasons: + ds_test = test_ds.get_climo_dataset(var_key, season) + da_test = ds_test[var_key] - if run_type == "model_vs_model": - ref_data = utils.dataset.Dataset(parameter, ref=True) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season + test_site_arr = interpolate_model_output_to_obs_sites( + ds_test[var_key], var_key ) - ref = ref_data.get_climo_variable(var, season) - ref_site = interpolate_model_output_to_obs_sites(ref, var) - elif run_type == "model_vs_obs": - ref_site = interpolate_model_output_to_obs_sites(None, var) - else: - raise ValueError("Invalid run_type={}".format(run_type)) + parameter.test_name_yrs = test_ds.get_name_yrs_attr(season) + parameter.ref_name_yrs = "AERONET (2006-2015)" - parameter.output_file = ( - f"{parameter.ref_name}-{parameter.var_id}-{season}-global" - ) - aerosol_aeronet_plot.plot(test, test_site, ref_site, parameter) + if run_type == "model_vs_model": + ref_ds = Dataset(parameter, data_type="ref") + + parameter.ref_name_yrs = utils.general.get_name_and_yrs( + parameter, ref_ds, season + ) + + ds_ref = ref_ds.get_climo_dataset(var_key, season) + ref_site_arr = interpolate_model_output_to_obs_sites( + ds_ref[var_key], var_key + ) + elif run_type == "model_vs_obs": + ref_site_arr = interpolate_model_output_to_obs_sites(None, var_key) + else: + raise ValueError("Invalid run_type={}".format(run_type)) + + parameter.output_file = ( + f"{parameter.ref_name}-{parameter.var_id}-{season}-global" + ) + + metrics_dict = { + "max": da_test.max().item(), + "min": da_test.min().item(), + "mean": spatial_avg(ds_test, var_key, axis=["X", "Y"]), + } + aerosol_aeronet_plot.plot( + parameter, da_test, test_site_arr, ref_site_arr, metrics_dict + ) return parameter def interpolate_model_output_to_obs_sites( - var: Optional[TransientVariable], var_id: str -): + da_var: xr.DataArray | None, var_key: str +) -> np.ndarray: """Interpolate model outputs (on regular lat lon grids) to observational sites - :param var: Input model variable, var_id: name of the variable - :type var: TransientVariable or NoneType, var_id: str - :raises IOError: Invalid variable input - :return: interpolated values over all observational sites - :rtype: 1-D numpy.array + # TODO: Add test coverage for this function. + + Parameters + ---------- + da_var : xr.DataArray | None + An optional input model variable dataarray. + var_key : str + The key of the variable. + Returns + ------- + np.ndarray + The interpolated values over all observational sites. + + Raises + ------ + IOError + If the variable key is invalid. """ logger.info( "Interpolate model outputs (on regular lat lon grids) to observational sites" ) - if var_id == "AODABS": + + if var_key == "AODABS": aeronet_file = os.path.join( e3sm_diags.INSTALL_PATH, "aerosol_aeronet/aaod550_AERONET_2006-2015.txt" ) var_header = "aaod" - elif var_id == "AODVIS": + elif var_key == "AODVIS": aeronet_file = os.path.join( e3sm_diags.INSTALL_PATH, "aerosol_aeronet/aod550_AERONET_2006-2015.txt" ) @@ -102,22 +140,24 @@ def interpolate_model_output_to_obs_sites( data_obs = pd.read_csv(aeronet_file, dtype=object, sep=",") - lonloc = np.array(data_obs["lon"].astype(float)) - latloc = np.array(data_obs["lat"].astype(float)) - obsloc = np.array(data_obs[var_header].astype(float)) - # sitename = np.array(data_obs["site"].astype(str)) - nsite = len(obsloc) + lon_loc = np.array(data_obs["lon"].astype(float)) + lat_loc = np.array(data_obs["lat"].astype(float)) + obs_loc = np.array(data_obs[var_header].astype(float)) - # express lonloc from 0 to 360 - lonloc[lonloc < 0.0] = lonloc[lonloc < 0.0] + 360.0 + num_sites = len(obs_loc) - if var is not None: - f_intp = interpolate.RectBivariateSpline( - var.getLatitude()[:], var.getLongitude()[:], var - ) - var_intp = np.zeros(nsite) - for i in range(nsite): - var_intp[i] = f_intp(latloc[i], lonloc[i]) + # Express lon_loc from 0 to 360. + lon_loc[lon_loc < 0.0] = lon_loc[lon_loc < 0.0] + 360.0 + + if da_var is not None: + lat = xc.get_dim_coords(da_var, axis="Y") + lon = xc.get_dim_coords(da_var, axis="X") + f_intp = interpolate.RectBivariateSpline(lat.values, lon.values, da_var.values) + + var_intp = np.zeros(num_sites) + for i in range(num_sites): + var_intp[i] = f_intp(lat_loc[i], lon_loc[i]) return var_intp - return obsloc + + return obs_loc diff --git a/e3sm_diags/driver/zonal_mean_2d_driver.py b/e3sm_diags/driver/zonal_mean_2d_driver.py index da2aa26c0..c256877e9 100755 --- a/e3sm_diags/driver/zonal_mean_2d_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_driver.py @@ -18,7 +18,7 @@ DEFAULT_PLEVS, ZonalMean2dParameter, ) -from e3sm_diags.plot.cartopy.zonal_mean_2d_plot import plot as plot_func +from e3sm_diags.plot.zonal_mean_2d_plot import plot as plot_func logger = custom_logger(__name__) diff --git a/e3sm_diags/plot/aerosol_aeronet_plot.py b/e3sm_diags/plot/aerosol_aeronet_plot.py new file mode 100644 index 000000000..14293ba4c --- /dev/null +++ b/e3sm_diags/plot/aerosol_aeronet_plot.py @@ -0,0 +1,114 @@ +import matplotlib +import numpy as np +import xarray as xr + +from e3sm_diags.driver.utils.type_annotations import MetricsDict +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.lat_lon_plot import _add_colormap +from e3sm_diags.plot.utils import _save_plot + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +# Plot scatter plot +# Position and sizes of subplot axes in page coordinates (0 to 1) +# (left, bottom, width, height) in page coordinates +PANEL_CFG = [ + (0.09, 0.40, 0.72, 0.30), + (0.19, 0.2, 0.62, 0.30), +] +# Border padding relative to subplot axes for saving individual panels +# (left, bottom, right, top) in page coordinates. +BORDER_PADDING = (-0.06, -0.03, 0.13, 0.03) + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + test_site_arr: np.ndarray, + ref_site_arr: np.ndarray, + metrics_dict: MetricsDict, +): + """Plot the test variable's metrics generated for the aerosol_aeronet set. + + Parameters + ---------- + parameter : CoreParameter + The CoreParameter object containing plot configurations. + da_test : xr.DataArray + The test data. + test_site : np.ndarray + The array containing values for the test site. + ref_site : np.ndarray + The array containing values for the ref site. + metrics_dict : MetricsDict + The metrics. + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.var_id, x=0.5, y=0.97) + + # Add the colormap subplot for test data. + min = metrics_dict["min"] + mean = metrics_dict["mean"] + max = metrics_dict["max"] + + _add_colormap( + 0, + da_test, + fig, + parameter, + parameter.test_colormap, + parameter.contour_levels, + title=(parameter.test_name_yrs, None, None), # type: ignore + metrics=(max, mean, min), # type: ignore + ) + + # Add the scatter plot. + ax = fig.add_axes(PANEL_CFG[1]) + ax.set_title(f"{parameter.var_id} from AERONET sites") + + # Define 1:1 line, and x, y axis limits. + if parameter.var_id == "AODVIS": + x1 = np.arange(0.01, 3.0, 0.1) + y1 = np.arange(0.01, 3.0, 0.1) + plt.xlim(0.03, 1) + plt.ylim(0.03, 1) + else: + x1 = np.arange(0.0001, 1.0, 0.01) + y1 = np.arange(0.0001, 1.0, 0.01) + plt.xlim(0.001, 0.3) + plt.ylim(0.001, 0.3) + + plt.loglog(x1, y1, "-k", linewidth=0.5) + plt.loglog(x1, y1 * 0.5, "--k", linewidth=0.5) + plt.loglog(x1 * 0.5, y1, "--k", linewidth=0.5) + + corr = np.corrcoef(ref_site_arr, test_site_arr) + xmean = np.mean(ref_site_arr) + ymean = np.mean(test_site_arr) + ax.text( + 0.3, + 0.9, + f"Mean (test): {ymean:.3f} \n Mean (ref): {xmean:.3f}\n Corr: {corr[0, 1]:.2f}", + horizontalalignment="right", + verticalalignment="top", + transform=ax.transAxes, + ) + + # Configure axis ticks. + plt.tick_params(axis="both", which="major") + plt.tick_params(axis="both", which="minor") + + # Configure axis labels + plt.xlabel(f"ref: {parameter.ref_name_yrs}") + plt.ylabel(f"test: {parameter.test_name_yrs}") + + plt.loglog(ref_site_arr, test_site_arr, "kx", markersize=3.0, mfc="none") + + # Configure legend. + plt.legend(frameon=False, prop={"size": 5}) + + _save_plot(fig, parameter, PANEL_CFG, BORDER_PADDING) diff --git a/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py b/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py deleted file mode 100644 index 765235095..000000000 --- a/e3sm_diags/plot/cartopy/aerosol_aeronet_plot.py +++ /dev/null @@ -1,132 +0,0 @@ -import os - -import cartopy.crs as ccrs -import matplotlib -import numpy as np - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import mean -from e3sm_diags.plot.cartopy.deprecated_lat_lon_plot import plot_panel - -matplotlib.use("Agg") -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - - -def plot(test, test_site, ref_site, parameter): - # Plot scatter plot - # Position and sizes of subplot axes in page coordinates (0 to 1) - # (left, bottom, width, height) in page coordinates - panel = [ - (0.09, 0.40, 0.72, 0.30), - (0.19, 0.2, 0.62, 0.30), - ] - # Border padding relative to subplot axes for saving individual panels - # (left, bottom, right, top) in page coordinates - border = (-0.06, -0.03, 0.13, 0.03) - - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - fig.suptitle(parameter.var_id, x=0.5, y=0.97) - proj = ccrs.PlateCarree() - max1 = test.max() - min1 = test.min() - mean1 = mean(test) - # TODO: Replace this function call with `e3sm_diags.plot.utils._add_colormap()`. - plot_panel( - 0, - fig, - proj, - test, - parameter.contour_levels, - parameter.test_colormap, - (parameter.test_name_yrs, None, None), - parameter, - stats=(max1, mean1, min1), - ) - - ax = fig.add_axes(panel[1]) - ax.set_title(f"{parameter.var_id} from AERONET sites") - - # define 1:1 line, and x y axis limits - - if parameter.var_id == "AODVIS": - x1 = np.arange(0.01, 3.0, 0.1) - y1 = np.arange(0.01, 3.0, 0.1) - plt.xlim(0.03, 1) - plt.ylim(0.03, 1) - else: - x1 = np.arange(0.0001, 1.0, 0.01) - y1 = np.arange(0.0001, 1.0, 0.01) - plt.xlim(0.001, 0.3) - plt.ylim(0.001, 0.3) - - plt.loglog(x1, y1, "-k", linewidth=0.5) - plt.loglog(x1, y1 * 0.5, "--k", linewidth=0.5) - plt.loglog(x1 * 0.5, y1, "--k", linewidth=0.5) - - corr = np.corrcoef(ref_site, test_site) - xmean = np.mean(ref_site) - ymean = np.mean(test_site) - ax.text( - 0.3, - 0.9, - f"Mean (test): {ymean:.3f} \n Mean (ref): {xmean:.3f}\n Corr: {corr[0, 1]:.2f}", - horizontalalignment="right", - verticalalignment="top", - transform=ax.transAxes, - ) - - # axis ticks - plt.tick_params(axis="both", which="major") - plt.tick_params(axis="both", which="minor") - - # axis labels - plt.xlabel(f"ref: {parameter.ref_name_yrs}") - plt.ylabel(f"test: {parameter.test_name_yrs}") - - plt.loglog(ref_site, test_site, "kx", markersize=3.0, mfc="none") - - # legend - plt.legend(frameon=False, prop={"size": 5}) - - # TODO: This section can be refactored to use `plot.utils._save_plot()`. - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - f"{parameter.output_file}" + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 diff --git a/e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py b/e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py deleted file mode 100644 index 4eaebcf80..000000000 --- a/e3sm_diags/plot/cartopy/deprecated_lat_lon_plot.py +++ /dev/null @@ -1,360 +0,0 @@ -""" -WARNING: This module has been deprecated and replaced by -`e3sm_diags.plot.lat_lon_plot.py`. This file temporarily kept because -`e3sm_diags.plot.cartopy.aerosol_aeronet_plot.plot` references the -`plot_panel()` function. Once the aerosol_aeronet set is refactored, this -file can be deleted. -""" -from __future__ import print_function - -import os - -import cartopy.crs as ccrs -import cartopy.feature as cfeature -import cdutil -import matplotlib -import numpy as np -import numpy.ma as ma -from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter - -from e3sm_diags.derivations.default_regions import regions_specs -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import get_colormap - -matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.6810, 0.6465, 0.2258), - (0.1691, 0.3961, 0.6465, 0.2258), - (0.1691, 0.1112, 0.6465, 0.2258), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def determine_tick_step(degrees_covered): - if degrees_covered > 180: - return 60 - if degrees_covered > 60: - return 30 - elif degrees_covered > 30: - return 10 - elif degrees_covered > 20: - return 5 - else: - return 1 - - -def plot_panel( # noqa: C901 - n, fig, proj, var, clevels, cmap, title, parameters, stats=None -): - var = add_cyclic(var) - lon = var.getLongitude() - lat = var.getLatitude() - var = ma.squeeze(var.asma()) - - # Contour levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - # ax.set_global() - region_str = parameters.regions[0] - region = regions_specs[region_str] - global_domain = True - full_lon = True - if "domain" in region.keys(): # type: ignore - # Get domain to plot - domain = region["domain"] # type: ignore - global_domain = False - else: - # Assume global domain - domain = cdutil.region.domain(latitude=(-90.0, 90, "ccb")) - kargs = domain.components()[0].kargs - lon_west, lon_east, lat_south, lat_north = (0, 360, -90, 90) - if "longitude" in kargs: - full_lon = False - lon_west, lon_east, _ = kargs["longitude"] - # Note cartopy Problem with gridlines across the dateline:https://github.com/SciTools/cartopy/issues/821. Region cross dateline is not supported yet. - if lon_west > 180 and lon_east > 180: - lon_west = lon_west - 360 - lon_east = lon_east - 360 - - if "latitude" in kargs: - lat_south, lat_north, _ = kargs["latitude"] - lon_covered = lon_east - lon_west - lon_step = determine_tick_step(lon_covered) - xticks = np.arange(lon_west, lon_east, lon_step) - # Subtract 0.50 to get 0 W to show up on the right side of the plot. - # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the left side of the plot. - # If a number is added, then the value won't show up at all. - if global_domain or full_lon: - xticks = np.append(xticks, lon_east - 0.50) - proj = ccrs.PlateCarree(central_longitude=180) - else: - xticks = np.append(xticks, lon_east) - lat_covered = lat_north - lat_south - lat_step = determine_tick_step(lat_covered) - yticks = np.arange(lat_south, lat_north, lat_step) - yticks = np.append(yticks, lat_north) - - # Contour plot - ax = fig.add_axes(panel[n], projection=proj) - ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=proj) - cmap = get_colormap(cmap, parameters) - p1 = ax.contourf( - lon, - lat, - var, - transform=ccrs.PlateCarree(), - norm=norm, - levels=levels, - cmap=cmap, - extend="both", - ) - - # ax.set_aspect('auto') - # Full world would be aspect 360/(2*180) = 1 - ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) - ax.coastlines(lw=0.3) - if not global_domain and "RRM" in region_str: - ax.coastlines(resolution="50m", color="black", linewidth=1) - state_borders = cfeature.NaturalEarthFeature( - category="cultural", - name="admin_1_states_provinces_lakes", - scale="50m", - facecolor="none", - ) - ax.add_feature(state_borders, edgecolor="black") - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - ax.set_xticks(xticks, crs=ccrs.PlateCarree()) - ax.set_yticks(yticks, crs=ccrs.PlateCarree()) - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - - # Color bar - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0215, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax) - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 0.2: - fmt = "%5.3f" - pad = 28 - elif maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - elif maxval > 9999.0: - fmt = "%.0f" - pad = 40 - else: - fmt = "%6.1f" - pad = 30 - - cbar.set_ticks(levels[1:-1]) - labels = [fmt % level for level in levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Min, Mean, Max - fig.text( - panel[n][0] + 0.6635, - panel[n][1] + 0.2107, - "Max\nMean\nMin", - ha="left", - fontdict=plotSideTitle, - ) - - fmt_m = [] - # printing in scientific notation if value greater than 10^5 - for i in range(len(stats[0:3])): - fs = "1e" if stats[i] > 100000.0 else "2f" - fmt_m.append(fs) - fmt_metrics = f"%.{fmt_m[0]}\n%.{fmt_m[1]}\n%.{fmt_m[2]}" - - fig.text( - panel[n][0] + 0.7635, - panel[n][1] + 0.2107, - # "%.2f\n%.2f\n%.2f" % stats[0:3], - fmt_metrics % stats[0:3], - ha="right", - fontdict=plotSideTitle, - ) - - # RMSE, CORR - if len(stats) == 5: - fig.text( - panel[n][0] + 0.6635, - panel[n][1] - 0.0105, - "RMSE\nCORR", - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.7635, - panel[n][1] - 0.0105, - "%.2f\n%.2f" % stats[3:5], - ha="right", - fontdict=plotSideTitle, - ) - - # grid resolution info: - if n == 2 and "RRM" in region_str: - dlat = lat[2] - lat[1] - dlon = lon[2] - lon[1] - fig.text( - panel[n][0] + 0.4635, - panel[n][1] - 0.04, - "Resolution: {:.2f}x{:.2f}".format(dlat, dlon), - ha="left", - fontdict=plotSideTitle, - ) - - -def plot(reference, test, diff, metrics_dict, parameter): - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - proj = ccrs.PlateCarree() - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - - # First two panels - min1 = metrics_dict["test"]["min"] - mean1 = metrics_dict["test"]["mean"] - max1 = metrics_dict["test"]["max"] - - plot_panel( - 0, - fig, - proj, - test, - parameter.contour_levels, - parameter.test_colormap, - (parameter.test_name_yrs, parameter.test_title, test.units), - parameter, - stats=(max1, mean1, min1), - ) - - if not parameter.model_only: - min2 = metrics_dict["ref"]["min"] - mean2 = metrics_dict["ref"]["mean"] - max2 = metrics_dict["ref"]["max"] - - plot_panel( - 1, - fig, - proj, - reference, - parameter.contour_levels, - parameter.reference_colormap, - (parameter.ref_name_yrs, parameter.reference_title, reference.units), - parameter, - stats=(max2, mean2, min2), - ) - - # Third panel - min3 = metrics_dict["diff"]["min"] - mean3 = metrics_dict["diff"]["mean"] - max3 = metrics_dict["diff"]["max"] - r = metrics_dict["misc"]["rmse"] - c = metrics_dict["misc"]["corr"] - plot_panel( - 2, - fig, - proj, - diff, - parameter.diff_levels, - parameter.diff_colormap, - (None, parameter.diff_title, test.units), - parameter, - stats=(max3, mean3, min3, r, c), - ) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - if parameter.ref_name == "": - panels = [panel[0]] - else: - panels = panel - - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panels: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py deleted file mode 100644 index 004f3c93d..000000000 --- a/e3sm_diags/plot/cartopy/zonal_mean_2d_stratosphere_plot.py +++ /dev/null @@ -1,15 +0,0 @@ -import xarray as xr - -from e3sm_diags.driver.utils.type_annotations import MetricsDict -from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.plot.cartopy.zonal_mean_2d_plot import plot as base_plot - - -def plot( - parameter: CoreParameter, - da_test: xr.DataArray, - da_ref: xr.DataArray, - da_diff: xr.DataArray, - metrics_dict: MetricsDict, -): - return base_plot(parameter, da_test, da_ref, da_diff, metrics_dict) diff --git a/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py b/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py deleted file mode 100644 index 938faab48..000000000 --- a/e3sm_diags/plot/cartopy/zonal_mean_xy_plot.py +++ /dev/null @@ -1,138 +0,0 @@ -from __future__ import print_function - -import os - -import matplotlib -import numpy as np -import numpy.ma as ma - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger - -matplotlib.use("Agg") -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 12.5} -plotSideTitle = {"fontsize": 11.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1500, 0.5500, 0.7500, 0.3000), - (0.1500, 0.1300, 0.7500, 0.3000), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.14, -0.06, 0.04, 0.08) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def plot(reference, test, diff, metrics_dict, parameter): - # Create figure - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - - # Top panel - ax1 = fig.add_axes(panel[0]) - ax1.plot(test.getLatitude()[:], ma.squeeze(test.asma()), "k", linewidth=2) - ax1.plot( - reference.getLatitude()[:], - ma.squeeze(reference.asma()), - "r", - linewidth=2, - ) - ax1.set_xticks([-90, -60, -30, 0, 30, 60, 90]) - ax1.set_xlim(-90, 90) - ax1.tick_params(labelsize=11.0, direction="out", width=1) - ax1.xaxis.set_ticks_position("bottom") - ax1.set_ylabel(test.long_name + " (" + test.units + ")") - - test_title = "Test" if parameter.test_title == "" else parameter.test_title - test_title += " : {}".format(parameter.test_name_yrs) - ref_title = ( - "Reference" if parameter.reference_title == "" else parameter.reference_title - ) - ref_title += " : {}".format(parameter.ref_name_yrs) - fig.text( - panel[0][0], - panel[0][1] + panel[0][3] + 0.03, - test_title, - ha="left", - fontdict=plotSideTitle, - color="black", - ) - fig.text( - panel[0][0], - panel[0][1] + panel[0][3] + 0.01, - ref_title, - ha="left", - fontdict=plotSideTitle, - color="red", - ) - - # Bottom panel - ax2 = fig.add_axes(panel[1]) - ax2.plot(diff.getLatitude()[:], ma.squeeze(diff.asma()), "k", linewidth=2) - ax2.axhline(y=0, color="0.5") - ax2.set_title(parameter.diff_title, fontdict=plotSideTitle, loc="center") - ax2.set_xticks([-90, -60, -30, 0, 30, 60, 90]) - ax2.set_xlim(-90, 90) - ax2.tick_params(labelsize=11.0, direction="out", width=1) - ax2.xaxis.set_ticks_position("bottom") - ax2.set_ylabel(test.long_name + " (" + test.units + ")") - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.95, fontsize=18) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index e365c2995..4c224e66b 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -37,7 +37,8 @@ # Border padding relative to subplot axes for saving individual panels # (left, bottom, right, top) in page coordinates -DEFAULT_BORDER_PADDING = (-0.06, -0.03, 0.13, 0.03) +BorderPadding = Tuple[float, float, float, float] +DEFAULT_BORDER_PADDING: BorderPadding = (-0.06, -0.03, 0.13, 0.03) # Sets that use the lat_lon formatter to configure the X and Y axes of the plot. SETS_USING_LAT_LON_FORMATTER = [ @@ -56,7 +57,7 @@ def _save_plot( fig: plt.Figure, parameter: CoreParameter, panel_configs: PanelConfig = DEFAULT_PANEL_CFG, - border_padding: Tuple[float, float, float, float] = DEFAULT_BORDER_PADDING, + border_padding: BorderPadding = DEFAULT_BORDER_PADDING, ): """Save the plot using the figure object and parameter configs. @@ -130,7 +131,6 @@ def _add_grid_res_info(fig, subplot_num, region_key, lat, lon, panel_configs): ha="left", fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, ) - # ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ def _make_lon_cyclic(var: xr.DataArray): diff --git a/e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py b/e3sm_diags/plot/zonal_mean_2d_plot.py similarity index 100% rename from e3sm_diags/plot/cartopy/zonal_mean_2d_plot.py rename to e3sm_diags/plot/zonal_mean_2d_plot.py From 1c3d2f5c69680217c6161f73cfd8366b067c27e7 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 12 Mar 2024 14:50:52 -0700 Subject: [PATCH 11/41] CDAT Migration: Test `lat_lon` set with run script and debug any issues (#794) --- .../792-lat-lon-run-script/792_lat_lon.cfg | 75 + ...92_lat_lon_cdat_regression_test_json.ipynb | 20 +- ..._lat_lon_cdat_regression_test_netcdf.ipynb | 3049 +++++++++++++---- .../792_lat_lon_run_script.py | 9 +- .../debug_cru_trefht/debug_cru_trefht.py | 51 + .../debug_era5_trefht_actual.png | Bin 0 -> 89762 bytes .../debug_era5_trefht_diff.png | Bin 0 -> 3728 bytes .../debug_era5_trefht_expected.png | Bin 0 -> 87649 bytes .../debug_era5_trefht_files.py | 63 + .../debug_era5_trefht_mask.py | 57 + .../debug_merra2_trefht_actual.png | Bin 0 -> 84359 bytes .../debug_merra2_trefht_diff.png | Bin 0 -> 3710 bytes .../debug_merra2_trefht_expected.png | Bin 0 -> 82321 bytes .../debug_merra2_trefht_files.py | 63 + .../debug_tauxy/debug_tauxy.py | 52 + .../debug_tauxy/debug_tauxy_actual.png | Bin 0 -> 64905 bytes .../debug_tauxy/debug_tauxy_diff.png | Bin 0 -> 2793 bytes .../debug_tauxy/debug_tauxy_expected.png | Bin 0 -> 62922 bytes .../logs/3-6-24-remaining-issues | 234 ++ .../template_cdat_regression_test_json.ipynb | 26 +- ...template_cdat_regression_test_netcdf.ipynb | 320 +- .../cdat_regression_testing/utils.py | 30 + e3sm_diags/derivations/derivations.py | 41 +- e3sm_diags/derivations/formulas.py | 115 +- e3sm_diags/derivations/formulas_cosp.py | 4 +- e3sm_diags/derivations/utils.py | 2 + e3sm_diags/driver/__init__.py | 29 +- e3sm_diags/driver/lat_lon_driver.py | 11 +- e3sm_diags/driver/utils/dataset_xr.py | 16 +- e3sm_diags/driver/utils/regrid.py | 57 +- .../derivations/test_formulas_cosp.py | 25 +- 31 files changed, 3538 insertions(+), 811 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_cru_trefht/debug_cru_trefht.py create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_actual.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_diff.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_expected.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_files.py create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_mask.py create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_merra2_trefht/debug_merra2_trefht_actual.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_merra2_trefht/debug_merra2_trefht_diff.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_merra2_trefht/debug_merra2_trefht_expected.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_merra2_trefht/debug_merra2_trefht_files.py create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_tauxy/debug_tauxy.py create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_tauxy/debug_tauxy_actual.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_tauxy/debug_tauxy_diff.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_tauxy/debug_tauxy_expected.png create mode 100644 auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/logs/3-6-24-remaining-issues diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon.cfg b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon.cfg new file mode 100644 index 000000000..95570ff23 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon.cfg @@ -0,0 +1,75 @@ +[#] +sets = ["lat_lon"] +case_id = "ERA5" +variables = ["TREFHT"] +regions = ["land"] +ref_name = "ERA5" +reference_name = "ERA5 Reanalysis" +seasons = ["ANN"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] +regrid_method = "bilinear" + +# [#] +# sets = ["lat_lon"] +# case_id = "MERRA2" +# variables = ["TREFHT"] +# regions = ["land"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN"] +# contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +# diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] +# regrid_method = "bilinear" + +# [#] +# sets = ["lat_lon"] +# case_id = "Cloud MISR" +# variables = ["CLDLOW_TAU1.3_9.4_MISR"] +# ref_name = "MISRCOSP" +# reference_name = "MISR Simulator" +# seasons = ["ANN"] +# test_colormap = "Blues" +# reference_colormap = "Blues" +# diff_colormap = "RdBu" +# contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +# diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + +# [#] +# sets = ["lat_lon"] +# case_id = "Cloud MISR" +# variables = ["CLDLOW_TAU1.3_MISR"] +# ref_name = "MISRCOSP" +# reference_name = "MISR Simulator" +# seasons = ["ANN"] +# test_colormap = "Blues" +# reference_colormap = "Blues" +# diff_colormap = "RdBu" +# contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +# diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + +# [#] +# sets = ["lat_lon"] +# case_id = "Cloud MISR" +# variables = ["CLDLOW_TAU9.4_MISR"] +# ref_name = "MISRCOSP" +# reference_name = "MISR Simulator" +# seasons = ["ANN"] +# test_colormap = "Blues" +# reference_colormap = "Blues" +# diff_colormap = "RdBu" +# contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +# diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + +# [#] +# sets = ["lat_lon"] +# case_id = "Cloud MISR" +# variables = ["CLDTOT_TAU1.3_MISR"] +# ref_name = "MISRCOSP" +# reference_name = "MISR Simulator" +# seasons = ["ANN"] +# test_colormap = "Blues" +# reference_colormap = "Blues" +# diff_colormap = "RdBu" +# contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +# diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb index b14897a51..cde6823aa 100644 --- a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_json.ipynb @@ -43,18 +43,18 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "metadata": {}, "outputs": [ { "ename": "OSError", - "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH.", + "evalue": "No files found at DEV_PATH and/or MAIN_PATH.", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[1], line 21\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[0;32m---> 21\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH." + "Cell \u001b[0;32mIn[2], line 28\u001b[0m\n\u001b[1;32m 25\u001b[0m MAIN_GLOB \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m(glob\u001b[38;5;241m.\u001b[39mglob(MAIN_PATH \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/*.json\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m---> 28\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 30\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[1;32m 31\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: No files found at DEV_PATH and/or MAIN_PATH." ] } ], @@ -62,12 +62,22 @@ "from collections import defaultdict\n", "import glob\n", "\n", + "import pandas as pd\n", "import numpy as np\n", "import xarray as xr\n", "\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_metrics,\n", + " get_num_metrics_above_diff_thres,\n", + " get_rel_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " highlight_large_diffs,\n", + ")\n", + "\n", "# TODO: Update SET_NAME and SET_DIR\n", "SET_NAME = \"lat_lon\"\n", - "SET_DIR = \"792-lat-lon\"\n", + "SET_DIR = \"792-lat_lon\"\n", "\n", "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb index 550a94de6..1796d0439 100644 --- a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_cdat_regression_test_netcdf.ipynb @@ -37,629 +37,296 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 1, "metadata": {}, - "outputs": [ - { - "ename": "OSError", - "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH.", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[7], line 21\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[0;32m---> 21\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", - "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH." - ] - } - ], + "outputs": [], "source": [ - "from collections import defaultdict\n", "import glob\n", "\n", "import numpy as np\n", "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", "\n", "# TODO: Update SET_NAME and SET_DIR\n", "SET_NAME = \"lat_lon\"\n", "SET_DIR = \"792-lat-lon\"\n", "\n", "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", - "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", - "\n", "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", "\n", - "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", - " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", "\n", - "if len(DEV_GLOB) != len(MAIN_GLOB):\n", - " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + " print(f\"Number of files missing: {missing_count}\")" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_diff.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc!\n", - "No file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc!\n", - "Number of files missing: 496\n" + "Number of files missing: 0\n" ] } ], "source": [ - "missing_count = 0\n", - "for filepath_main in MAIN_GLOB:\n", - " filepath_dev = filepath_main.replace(\"main\", SET_DIR)\n", - " try:\n", - " ds = xr.open_dataset(filepath_dev)\n", - " except OSError:\n", - " print(f\"No file found to compare with {filepath_main}!\")\n", - " missing_count += 1\n", - "\n", - "print(f\"Number of files missing: {missing_count}\")" + "_check_if_missing_files()" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (600 vs. 592).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (600 vs. 592)." + ] + } + ], "source": [ - "def _get_var_to_filepath_map():\n", - " var_to_file = defaultdict(lambda: defaultdict(dict))\n", - "\n", - " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", - " # Example:\n", - " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", - " file_arr = dev_file.split(\"/\")\n", + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Why are there 8 more dev files?\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Check which files were not produced by `main`\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['HadISST-SST-JJA-global_diff.nc',\n", + " 'HadISST-SST-JJA-global_ref.nc',\n", + " 'MACv2-AODDUST-JJA-global_ref.nc',\n", + " 'HadISST-SST-ANN-global_diff.nc',\n", + " 'MACv2-AODDUST-JJA-global_diff.nc',\n", + " 'HadISST-SST-ANN-global_ref.nc',\n", + " 'MACv2-AODDUST-ANN-global_diff.nc',\n", + " 'MACv2-AODDUST-ANN-global_ref.nc']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dev_files = [f.split(\"/\")[-1] for f in DEV_GLOB]\n", + "main_files = [f.split(\"/\")[-1] for f in MAIN_GLOB]\n", "\n", - " # Example: \"test\"\n", - " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", + "list(set(dev_files) - set(main_files))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Root cause: The reason is because these runs are model-only which means test and ref are the same\n", + "variables.**\n", "\n", - " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", - " # does not make sense.\n", - " if data_type == \"test\" or data_type == \"ref\":\n", - " # Example: \"ISCCP\"\n", - " model = file_arr[-2].split(\"-\")[0]\n", - " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "**Conclusion: There is nothing wrong here, just different I/O behaviors when writing out\n", + "ref and diff variables. xCDAT will always write out datasets even if they are the same,\n", + "while CDAT does not.**\n", "\n", - " var_to_file[model][data_type][season] = (dev_file, main_file)\n", + "1. `cdat-migration-fy24`\n", "\n", - " return var_to_file\n", + " - The `ref` and `diff` variables are xr.Dataset objects and written out with `_write_vars_to_netcdf()`\n", "\n", + "2. `main`\n", "\n", - "def _get_relative_diffs(var_to_filepath):\n", - " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", - " # We are mainly focusing on relative tolerance here (in percentage terms).\n", - " atol = 0\n", - " rtol = 1e-5\n", + " - The `ref` and `diff` variables are `None` when calling `save_netcdf()` are `None`.\n", + " Attempting to write out these variables results in:\n", "\n", - " for model, data_types in var_to_filepath.items():\n", - " for _, seasons in data_types.items():\n", - " for _, filepaths in seasons.items():\n", - " print(\"Comparing:\")\n", - " print(filepaths[0], \"\\n\", filepaths[1])\n", - " ds1 = xr.open_dataset(filepaths[0])\n", - " ds2 = xr.open_dataset(filepaths[1])\n", - "\n", - " try:\n", - " var_key = f\"COSP_HISTOGRAM_{model}\"\n", - " np.testing.assert_allclose(\n", - " ds1[var_key].values,\n", - " ds2[var_key].values,\n", - " atol=atol,\n", - " rtol=rtol,\n", - " )\n", - " except AssertionError as e:\n", - " print(e)\n", - " else:\n", - " print(f\" * All close and within relative tolerance ({rtol})\")" + " ```python\n", + " 2024-03-04 09:39:16,678 [ERROR]: core_parameter.py(_run_diag:267) >> Error in e3sm_diags.driver.lat_lon_driver\n", + " Traceback (most recent call last):\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/parameter/core_parameter.py\", line 264, in _run_diag\n", + " single_result = module.run_diag(self)\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/lat_lon_driver.py\", line 232, in run_diag\n", + " create_and_save_data_and_metrics(parameter, mv1_domain, mv2_domain)\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/lat_lon_driver.py\", line 61, in create_and_save_data_and_metrics\n", + " utils.general.save_ncfiles(\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/utils/general.py\", line 352, in save_ncfiles\n", + " if ref.id.startswith(\"variable_\"):\n", + " AttributeError: 'NoneType' object has no attribute 'id'\n", + " ```\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 1. Compare the netCDF files between branches\n", + "## 2 Compare the netCDF files between branches\n", "\n", "- Compare \"ref\" and \"test\" files\n", "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" @@ -667,16 +334,7 @@ }, { "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [], - "source": [ - "var_to_filepaths = _get_var_to_filepath_map()" - ] - }, - { - "cell_type": "code", - "execution_count": 37, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -684,80 +342,2172 @@ "output_type": "stream", "text": [ "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", - "\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", "Not equal to tolerance rtol=1e-05, atol=0\n", "\n", - "Mismatched elements: 42 / 42 (100%)\n", - "Max absolute difference: 4.23048367e-05\n", - "Max relative difference: 1.16682146e-05\n", - " x: array([[0.703907, 2.669376, 3.065526, 1.579834, 0.363847, 0.128541],\n", - " [0.147366, 1.152637, 3.67049 , 3.791006, 1.398453, 0.392103],\n", - " [0.07496 , 0.474791, 1.37002 , 1.705649, 0.786423, 0.346744],...\n", - " y: array([[0.703899, 2.669347, 3.065492, 1.579816, 0.363843, 0.12854 ],\n", - " [0.147364, 1.152624, 3.670448, 3.790965, 1.398438, 0.392099],\n", - " [0.074959, 0.474786, 1.370004, 1.705629, 0.786415, 0.34674 ],...\n", - "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + "Mismatched elements: 39457 / 64800 (60.9%)\n", + "Max absolute difference: 22.411116\n", + "Max relative difference: 0.6832267\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.01244658\n", + " x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + " y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 34699 / 64800 (53.5%)\n", + "Max absolute difference: 45.429226\n", + "Max relative difference: 0.9708206\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39499 / 64800 (61%)\n", + "Max absolute difference: 37.673122\n", + "Max relative difference: 0.62295455\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00541773\n", + " x: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + " y: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35149 / 64800 (54.2%)\n", + "Max absolute difference: 67.89603\n", + "Max relative difference: 0.9691263\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39323 / 64800 (60.7%)\n", + "Max absolute difference: 31.085188\n", + "Max relative difference: 0.96666664\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 33486 / 64800 (51.7%)\n", + "Max absolute difference: 63.126827\n", + "Max relative difference: 1.\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00456364\n", + " x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n", + " 7.77411 ],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n", + " y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n", + " 7.774109],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.09701157\n", + "Max relative difference: 0.00250626\n", + " x: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843707, 7.843707,\n", + " 7.843707],\n", + " [ 4.183939, 4.1839 , 4.183824, ..., 7.598535, 7.598149,...\n", + " y: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843706, 7.843706,\n", + " 7.843706],\n", + " [ 4.183939, 4.1839 , 4.183823, ..., 7.598534, 7.598149,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355,\n", + " -53.867355],\n", + " [-53.28177 , -53.27997 , -53.27826 , ..., -53.284897, -53.28383 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", "Not equal to tolerance rtol=1e-05, atol=0\n", "\n", - "Mismatched elements: 42 / 42 (100%)\n", - "Max absolute difference: 4.91806181e-05\n", - "Max relative difference: 1.3272405e-05\n", - " x: array([[0.62896 , 2.657657, 3.206268, 1.704946, 0.398659, 0.169424],\n", - " [0.147569, 1.228835, 3.697387, 3.727142, 1.223123, 0.436504],\n", - " [0.072129, 0.508413, 1.167637, 1.412202, 0.638085, 0.362268],...\n", - " y: array([[0.628952, 2.657625, 3.206227, 1.704924, 0.398654, 0.169422],\n", - " [0.147567, 1.228819, 3.697338, 3.727093, 1.223107, 0.436498],\n", - " [0.072128, 0.508407, 1.167622, 1.412183, 0.638076, 0.362263],...\n", - "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", - "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n" + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + " y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + " y: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 ,\n", + " -60.34648 ],\n", + " [-59.765793, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n" ] } ], "source": [ - "_get_relative_diffs(var_to_filepaths)" + "_get_relative_diffs()" ] }, { @@ -766,8 +2516,23 @@ "source": [ "### Results\n", "\n", - "- The relative tolerance of all files are 1e-05, which means things should be good to go.\n" + "- Most files are within rtol 1e-05\n", + "\n", + "Remaining issues:\n", + "\n", + "- `x and y nan location mismatching`: `ALBEDOC`, `TREFHT`, `CLDTOT_TAU1.3_9.4_ISCCP`, `CLDTOT_TAU1.3_ISCCP`, `CLDTOT_TAU9.4_ISCCP`, `CLDTOT_TAU9.4_ISCCP`, `CLDLOW_TAU1.3_9.4_MISR`, `CLDLOW_TAU1.3_MISR`, `CLDLOW_TAU9.4_MISR`, `CLDTOT_TAU1.3_9.4_MISR`, `CLDTOT_TAU1.3_MISR`, `CLDTOT_TAU9.4_MISR`, `CLDHGH_TAU1.3_9.4_MODIS`, `CLDHGH_TAU1.3_MODIS`, `CLDHGH_TAU9.4_MODIS`, `CLDTOT_TAU1.3_9.4_MODIS`, `CLDTOT_TAU1.3_MODIS`, `CLDTOT_TAU9.4_MODIS`, `TAUXY`, `TREFHT`, `TAUXY`\n", + " - Related to https://github.com/E3SM-Project/e3sm_diags/issues/790\n", + "- Large relative differences: `PminusE`, `QREFHT`\n", + "\n", + " - Related to https://github.com/E3SM-Project/e3sm_diags/issues/790\n", + "\n", + "- Shape mismatch: `QREFHT` ((180, 360), (721, 1440))\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": { diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py index 224c657db..9fec235de 100644 --- a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon_run_script.py @@ -1,8 +1,11 @@ +# python -m auxiliary_tools.cdat_regression_testing.792-lat-lon-run-script.792_lat_lon_run_script from auxiliary_tools.cdat_regression_testing.base_run_script import run_set SET_NAME = "lat_lon" -SET_DIR = "792-lat-lon" -CFG_PATH: str | None = None -MULTIPROCESSING = True +SET_DIR = "792-lat-lon-debug" +# CFG_PATH: str | None = None +CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/792_lat_lon.cfg" +MULTIPROCESSING = False +# %% run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_cru_trefht/debug_cru_trefht.py b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_cru_trefht/debug_cru_trefht.py new file mode 100644 index 000000000..6c9de7d19 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_cru_trefht/debug_cru_trefht.py @@ -0,0 +1,51 @@ +# %% +import os + +import numpy as np +import xarray as xr + +from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs + +# %% +ds1 = xr.open_dataset( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon-debug/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc" +) +ds2 = xr.open_dataset( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc" +) + +var_key = "TREFHT" + +# %% +np.testing.assert_allclose(ds1[var_key], ds2[var_key]) + +# %% +# Check the sum values -- close +# 119496.125 +np.abs(ds1[var_key]).sum() +# 119496.11 +np.abs(ds2[var_key]).sum() + +# %% +# Check the mean values -- close +# 8.3522835 +ds1[var_key].mean() + +# 8.352283 +ds2[var_key].mean() + +# %% +# Check the plots and their diffs +root_dir = "auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script" +actual_path = os.path.join(root_dir, "debug_trefht_actual.png") +expected_path = os.path.join(root_dir, "debug_trefht_expected.png") + +ax1 = ds1[var_key].plot() 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zK`7f;I2zVZYyT7XpyO2(5Ya%ou3*L4e5Ew@`>vkI*gsXs|B0iM)8cLu293RT+JFC- t2m*=Y2Vvl(Ky5FJ4}!V>`ww6KK{hpWyrCQv-yqDc literal 0 HcmV?d00001 diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_files.py b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_files.py new file mode 100644 index 000000000..5a65e09c3 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_files.py @@ -0,0 +1,63 @@ +# %% +import os + +import numpy as np +import xarray as xr + +from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs + +# %% +ds1 = xr.open_dataset( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon-debug/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc" +) +ds2 = xr.open_dataset( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc" +) + +var_key = "TREFHT" + +# %% +try: + np.testing.assert_allclose(ds1[var_key], ds2[var_key]) +except AssertionError as e: + print(e) + +# %% +# Get the nan count -- close +# 706526 +nan_count_ds1 = ds1[var_key].isnull().sum() +# 702926 +nan_count_ds2 = ds2[var_key].isnull().sum() + +# %% +# Check the sum values -- close +# -7034349.5 +np.abs(ds1[var_key]).sum() +# 7184789. +np.abs(ds2[var_key]).sum() + +# %% +# Check the mean values -- close +# -5.059297 +ds1[var_key].mean() + +# -5.388108 +ds2[var_key].mean() + +# %% +# Check the plots and their diffs +root_dir = "auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script" +actual_path = os.path.join(root_dir, "debug_trefht_actual.png") +expected_path = os.path.join(root_dir, "debug_trefht_expected.png") + +ax1 = ds1[var_key].plot() +ax1.figure.savefig(actual_path) + +# %% +ax2 = ds2[var_key].plot() +ax2.figure.savefig(expected_path) + +# %% +get_image_diffs(actual_path, expected_path) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_mask.py b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_mask.py new file mode 100644 index 000000000..a54cc8686 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/debug_era5_trefht/debug_era5_trefht_mask.py @@ -0,0 +1,57 @@ +# %% +import copy + +import cdms2 +import numpy as np +import xarray as xr +import xcdat as xc + +from e3sm_diags.derivations.acme import mask_by # noqa: F401 +from e3sm_diags.driver.utils.regrid import _drop_unused_ilev_axis + +VAR_KEY = "ts" +MASK_VAR_KEY = "LANDFRAC" +LOWER_MASK_LIMIT = 0.65 + + +# %% +# 1. Get the mask file being used on both branches +mask_path = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis/climatology/rgr/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis_ANN_005101_006012_climo.nc" +data_path = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/ERA5/ERA5_ANN_197901_201912_climo.nc" + +# Data +ds = xr.open_dataset(data_path) +ds = _drop_unused_ilev_axis(ds) +output_grid = ds.regridder.grid + +# Mask +ds_mask = xr.open_dataset(mask_path) +ds_mask_new = _drop_unused_ilev_axis(ds_mask) + +ds_mask_regrid = ds_mask_new.regridder.horizontal( + MASK_VAR_KEY, + output_grid, + tool="xesmf", + method="bilinear", +) + +# Get the land masking condition and apply it +land_sea_mask = ds_mask_regrid[MASK_VAR_KEY] +cond = land_sea_mask > LOWER_MASK_LIMIT + +masked_var = ds[VAR_KEY].where(cond=cond, drop=False) + +# %% +var = cdms2.open(data_path)(VAR_KEY) +var_mask = 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new file mode 100644 index 000000000..fe1be0be6 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/792-lat-lon-run-script/logs/3-6-24-remaining-issues @@ -0,0 +1,234 @@ +------------------------------------------------------------------------------------------------------------------------------------------------ +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc + * var_key: TREFHT + +Not equal to tolerance rtol=1e-05, atol=0 + +x and y nan location mismatch: + x: array([[ nan, nan, nan, ..., nan, nan, + nan], + [ nan, nan, nan, ..., nan, nan,... + y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464, + -45.434464], + [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,... +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc + * var_key: TREFHT + +Not equal to tolerance rtol=1e-05, atol=0 + +x and y nan location mismatch: + x: array([[ nan, nan, nan, ..., nan, nan, + nan], + [ nan, nan, nan, ..., nan, nan,... + y: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355, + -53.867355], + [-53.28177 , -53.27997 , -53.27826 , ..., -53.284897, -53.28383 ,... + + +------------------------------------------------------------------------------------------------------------------------------------------------ +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc + * var_key: TREFHT + +Not equal to tolerance rtol=1e-05, atol=0 + +x and y nan location mismatch: + x: array([[ nan, nan, nan, ..., nan, nan, + nan], + [ nan, -49.372787, -49.357605, ..., -49.43271 , -49.417847,... + y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927, + -49.840927], + [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,... + +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc + * var_key: TREFHT + +Not equal to tolerance rtol=1e-05, atol=0 + +x and y nan location mismatch: + x: array([[ nan, nan, nan, ..., nan, nan, + nan], + [ nan, -59.740402, -59.71486 , ..., -59.841125, -59.816147,... + y: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 , + -60.34648 ], + [-59.765793, -59.740402, -59.71486 , ..., -59.841125, -59.816147,... + +------------------------------------------------------------------------------------------------------------------------------------------------ +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc + * var_key: CLDLOW_TAU1.3_9.4_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 39457 / 64800 (60.9%) +Max absolute difference: 22.411116 +Max relative difference: 0.6832267 + x: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + y: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc + * var_key: CLDLOW_TAU1.3_9.4_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 9 / 64800 (0.0139%) +Max absolute difference: 0.0970192 +Max relative difference: 0.01244658 + x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017, + 1.274017], + [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,... + y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017, + 1.274017], + [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,... +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc + * var_key: CLDLOW_TAU1.3_9.4_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 34699 / 64800 (53.5%) +Max absolute difference: 45.429226 +Max relative difference: 0.9708206 + x: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + y: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + +------------------------------------------------------------------------------------------------------------------------------------------------ + +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc + * var_key: CLDLOW_TAU1.3_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 39499 / 64800 (61%) +Max absolute difference: 37.673122 +Max relative difference: 0.62295455 + x: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + y: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc + * var_key: CLDLOW_TAU1.3_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 9 / 64800 (0.0139%) +Max absolute difference: 0.0970192 +Max relative difference: 0.00541773 + x: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00, + 1.274017e+00, 1.274017e+00], + [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,... + y: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00, + 1.274017e+00, 1.274017e+00], + [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,... +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc + * var_key: CLDLOW_TAU1.3_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 35149 / 64800 (54.2%) +Max absolute difference: 67.89603 +Max relative difference: 0.9691263 + x: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + y: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + +------------------------------------------------------------------------------------------------------------------------------------------------ + +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc + * var_key: CLDLOW_TAU9.4_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 39323 / 64800 (60.7%) +Max absolute difference: 31.085188 +Max relative difference: 0.96666664 + x: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + y: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc + * var_key: CLDLOW_TAU9.4_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 33486 / 64800 (51.7%) +Max absolute difference: 63.126827 +Max relative difference: 1. + x: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + y: array([[nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan], + [nan, nan, nan, ..., nan, nan, nan],... + +------------------------------------------------------------------------------------------------------------------------------------------------ + +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc + * var_key: CLDTOT_TAU1.3_9.4_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 9 / 64800 (0.0139%) +Max absolute difference: 0.0970192 +Max relative difference: 0.00456364 + x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 , + 7.77411 ], + [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,... + y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109, + 7.774109], + [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,... +Comparing: + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/792-lat-lon/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc + * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc + * var_key: CLDTOT_TAU1.3_MISR + +Not equal to tolerance rtol=1e-05, atol=0 + +Mismatched elements: 9 / 64800 (0.0139%) +Max absolute difference: 0.09701157 +Max relative difference: 0.00250626 + x: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843707, 7.843707, + 7.843707], + [ 4.183939, 4.1839 , 4.183824, ..., 7.598535, 7.598149,... + y: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843706, 7.843706, + 7.843706], + [ 4.183939, 4.1839 , 4.183823, ..., 7.598534, 7.598149,... + diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb index 0dac6c448..e782d1869 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_json.ipynb @@ -43,16 +43,38 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "ename": "OSError", + "evalue": "No files found at DEV_PATH and/or MAIN_PATH.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 28\u001b[0m\n\u001b[1;32m 25\u001b[0m MAIN_GLOB \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m(glob\u001b[38;5;241m.\u001b[39mglob(MAIN_PATH \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/*.json\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m---> 28\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 30\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[1;32m 31\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: No files found at DEV_PATH and/or MAIN_PATH." + ] + } + ], "source": [ "from collections import defaultdict\n", "import glob\n", "\n", + "import pandas as pd\n", "import numpy as np\n", "import xarray as xr\n", "\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_metrics,\n", + " get_num_metrics_above_diff_thres,\n", + " get_rel_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " highlight_large_diffs,\n", + ")\n", + "\n", "# TODO: Update SET_NAME and SET_DIR\n", "SET_NAME = \"cosp_histogram\"\n", "SET_DIR = \"660-cosp-histogram\"\n", diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb index d48f993df..37528e228 100644 --- a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_netcdf.ipynb @@ -37,112 +37,222 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ "from collections import defaultdict\n", "import glob\n", + "from typing import Tuple\n", "\n", "import numpy as np\n", "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", "\n", "# TODO: Update SET_NAME and SET_DIR\n", - "SET_NAME = \"\"\n", - "SET_DIR = \"\"\n", + "SET_NAME = \"cosp_histogram\"\n", + "SET_DIR = \"660-cosp-histogram\"\n", "\n", "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", - "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", - "\n", "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", - "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", - "\n", - "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", - " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", "\n", - "if len(DEV_GLOB) != len(MAIN_GLOB):\n", - " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" ] }, { "cell_type": "code", - "execution_count": 34, + "execution_count": 67, "metadata": {}, "outputs": [], "source": [ - "def _get_var_to_filepath_map():\n", - " var_to_file = defaultdict(lambda: defaultdict(dict))\n", + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", "\n", - " for dev_file, main_file in zip(DEV_GLOB, MAIN_GLOB):\n", - " # Example:\n", - " # \"/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\"\n", - " file_arr = dev_file.split(\"/\")\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", "\n", - " # Example: \"test\"\n", - " data_type = dev_file.split(\"_\")[-1].split(\".nc\")[0]\n", "\n", - " # Skip comparing `.nc` \"diff\" files because comparing relative diffs of\n", - " # does not make sense.\n", - " if data_type == \"test\" or data_type == \"ref\":\n", - " # Example: \"ISCCP\"\n", - " model = file_arr[-2].split(\"-\")[0]\n", - " season = \"JJA\" if \"JJA\" in dev_file else \"ANN\"\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", "\n", - " var_to_file[model][data_type][season] = (dev_file, main_file)\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", "\n", - " return var_to_file\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", "\n", - "def _get_relative_diffs(var_to_filepath):\n", - " # Absolute tolerance of 0 and relative tolerance of 1e-5.\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", " # We are mainly focusing on relative tolerance here (in percentage terms).\n", " atol = 0\n", " rtol = 1e-5\n", "\n", - " for model, data_types in var_to_filepath.items():\n", - " for _, seasons in data_types.items():\n", - " for _, filepaths in seasons.items():\n", - " print(\"Comparing:\")\n", - " print(filepaths[0], \"\\n\", filepaths[1])\n", - " ds1 = xr.open_dataset(filepaths[0])\n", - " ds2 = xr.open_dataset(filepaths[1])\n", - "\n", - " try:\n", - " var_key = f\"COSP_HISTOGRAM_{model}\"\n", - " np.testing.assert_allclose(\n", - " ds1[var_key].values,\n", - " ds2[var_key].values,\n", - " atol=atol,\n", - " rtol=rtol,\n", - " )\n", - " except AssertionError as e:\n", - " print(e)\n", - " else:\n", - " print(f\" * All close and within relative tolerance ({rtol})\")" + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## 1. Compare the netCDF files between branches\n", - "\n", - "- Compare \"ref\" and \"test\" files\n", - "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + "## 1. Check for matching and equal number of files\n" ] }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 69, "metadata": {}, "outputs": [], "source": [ - "var_to_filepaths = _get_var_to_filepath_map()" + "_check_if_files_found()" ] }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (18 and 18).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 72, "metadata": {}, "outputs": [ { @@ -150,41 +260,50 @@ "output_type": "stream", "text": [ "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (1e-05)\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", - "\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " \n", "Not equal to tolerance rtol=1e-05, atol=0\n", "\n", "Mismatched elements: 42 / 42 (100%)\n", @@ -197,9 +316,15 @@ " [0.147364, 1.152624, 3.670448, 3.790965, 1.398438, 0.392099],\n", " [0.074959, 0.474786, 1.370004, 1.705629, 0.786415, 0.34674 ],...\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", - "\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " \n", "Not equal to tolerance rtol=1e-05, atol=0\n", "\n", "Mismatched elements: 42 / 42 (100%)\n", @@ -212,18 +337,15 @@ " [0.147567, 1.228819, 3.697338, 3.727093, 1.223107, 0.436498],\n", " [0.072128, 0.508407, 1.167622, 1.412183, 0.638076, 0.362263],...\n", "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n", - "Comparing:\n", - "/global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc \n", - " /global/cfs/projectdirs/e3sm/e3sm_diags_cdat_test/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", - " * All close and within relative tolerance (1e-05)\n" + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/660-cosp-histogram/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (1e-05)\n" ] } ], "source": [ - "_get_relative_diffs(var_to_filepaths)" + "_get_relative_diffs()" ] }, { @@ -232,8 +354,14 @@ "source": [ "### Results\n", "\n", - "- The relative tolerance of all files are 1e-05, which means things should be good to go.\n" + "All files are within rtol 1e-5, so the changes should be good to go. There are two\n", + "that seem like they are about rtol, but they aren't (still around 1e-5).\n" ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] } ], "metadata": { diff --git a/auxiliary_tools/cdat_regression_testing/utils.py b/auxiliary_tools/cdat_regression_testing/utils.py index 9a9e844b1..2434416dd 100644 --- a/auxiliary_tools/cdat_regression_testing/utils.py +++ b/auxiliary_tools/cdat_regression_testing/utils.py @@ -3,6 +3,7 @@ import pandas as pd from IPython.display import display +from PIL import Image, ImageChops, ImageDraw # The names of the columns that store percentage difference values. PERCENTAGE_COLUMNS = [ @@ -160,3 +161,32 @@ def get_num_metrics_above_diff_thres( print( f"* Number of metrics above 2% max threshold: {num_rows_largest_diffs} / {num_rows}" ) + + +def get_image_diffs(actual_path: str, expected_path: str): + """Get the diffs between two images. + + This function is useful for comparing two datasets that can't be compared + directly using `np.testing.assert_allclose()` due to `x and y nan location + mismatch` error. This error might happen after using the land-sea mask + after regridding, which can differ slightly between xCDAT/xESMF and + CDAT/ESMF. + + Parameters + ---------- + actual_path : str + The path to the actual png (e.g., Xarray/xCDAT). + expected_path : str + The path to the expected png (e.g., CDAT). + """ + actual_png = Image.open(actual_path).convert("RGB") + expected_png = Image.open(expected_path).convert("RGB") + + diff = ImageChops.difference(actual_png, expected_png) + + draw = ImageDraw.Draw(diff) + (left, upper, right, lower) = diff.getbbox() + draw.rectangle(((left, upper), (right, lower)), outline="red") + + diff_path = actual_path.replace("actual", "diff") + diff.save(diff_path) diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index 8e97e0fb4..a443ad40e 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -34,12 +34,16 @@ netflux6, netlw, netsw, + pminuse_1, + pminuse_2, + pminuse_3, pminuse_convert_units, precst, prect, qflx_convert_to_lhflx, qflx_convert_to_lhflx_approxi, qflxconvert_units, + qsat, restoa, restom, rst, @@ -78,6 +82,8 @@ FUNC_NEEDS_TARGET_VAR = [cosp_bin_sum, cosp_histogram_standardize] +# TODO: Replace OrderedDict with normal dictionary and remove lambda calls +# that aren't necessary (e.g., `rename()`). DERIVED_VARIABLES: DerivedVariablesMap = { "PRECT": OrderedDict( [ @@ -749,7 +755,11 @@ "TS": OrderedDict([(("ts",), rename)]), "PS": OrderedDict([(("ps",), rename)]), "U10": OrderedDict([(("sfcWind",), rename)]), - "QREFHT": OrderedDict([(("huss",), rename)]), + "QREFHT": { + ("QREFHT",): lambda q: convert_units(q, target_units="g/kg"), + ("huss",): lambda q: convert_units(q, target_units="g/kg"), + ("d2m", "sp"): qsat, + }, "PRECC": OrderedDict([(("prc",), rename)]), "TAUX": OrderedDict([(("tauu",), lambda tauu: -tauu)]), "TAUY": OrderedDict([(("tauv",), lambda tauv: -tauv)]), @@ -758,29 +768,12 @@ "CLDLIQ": OrderedDict([(("clw",), rename)]), "TGCLDCWP": OrderedDict([(("clwvi",), rename)]), "O3": OrderedDict([(("o3",), rename)]), - "PminusE": OrderedDict( - [ - (("PminusE",), lambda pminuse: pminuse_convert_units(pminuse)), - ( - ( - "PRECC", - "PRECL", - "QFLX", - ), - lambda precc, precl, qflx: pminuse_convert_units( - prect(precc, precl) - qflxconvert_units(qflx) - ), - ), - ( - ("F_prec", "F_evap"), - lambda pr, evspsbl: pminuse_convert_units(pr + evspsbl), - ), - ( - ("pr", "evspsbl"), - lambda pr, evspsbl: pminuse_convert_units(pr - evspsbl), - ), - ] - ), + "PminusE": { + ("PminusE",): pminuse_convert_units, + ("PRECC", "PRECL", "QFLX"): pminuse_1, + ("F_prec", "F_evap"): pminuse_2, + ("pr", "evspsbl"): pminuse_3, + }, "TREFMNAV": OrderedDict( [ (("TREFMNAV",), lambda t: convert_units(t, target_units="DegC")), diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index 85f65b906..5bdb11dec 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -5,6 +5,7 @@ the arithmetic should be wrapped with `with xr.set_options(keep_attrs=True)` to keep attributes on the resultant `xr.DataArray`. """ +import numpy as np import xarray as xr from e3sm_diags.derivations.utils import convert_units @@ -28,6 +29,39 @@ def qflxconvert_units(var: xr.DataArray): return var +def qsat(temp: xr.DataArray, surfp: xr.DataArray) -> xr.DataArray: + # Function to calculate saturation specific humidity based on air + # temperature and surface pressure, following: + # https://confluence.ecmwf.int/pages/viewpage.action?pageId=171411214 + # Input: temperature (temp) with units K and surface pressure (surfp) with + # units Pa. + Rdry = 287.0597 + Rvap = 461.5250 + # Constants for Teten’s formula: for saturation over water: + # a1 = 611.21 Pa, a3 = 17.502 and a4 = 32.19 K, at T0 = 273.16 K. + a1 = 611.21 + a3 = 17.502 + a4 = 32.19 + T0 = 273.16 + + # Calculation of saturation water vapour pressure (sat_wvp) from Teten's + # formula/ + sat_wvp: xr.DataArray = a1 * np.exp(a3 * (temp - T0) / (temp - a4)) # type: ignore + + # Calculation of saturation specific humidity at 2m qsat (equal to huss) + # with units g/kg. + qsat: xr.DataArray = ( + (Rdry / Rvap) * sat_wvp / (surfp - ((1 - Rdry / Rvap) * sat_wvp)) * 1000.0 + ) + + # Reset axes, which were dropped during calculation + qsat.attrs["units"] = "g/kg" + qsat.attrs["id"] = "QREFHT" + qsat.attrs["long_name"] = "Specific Humidity" + + return qsat + + def w_convert_q(var: xr.DataArray): if var.attrs["units"] == "mol/mol": var = ( @@ -76,16 +110,47 @@ def qflx_convert_to_lhflx_approxi(var: xr.DataArray): return new_var +def pminuse_1( + precc: xr.DataArray, precl: xr.DataArray, qflx: xr.DataArray +) -> xr.DataArray: + var_prect = prect(precc, precl) + var_qflx = qflxconvert_units(qflx) + + with xr.set_options(keep_attrs=True): + var = var_prect - var_qflx + + var_final = pminuse_convert_units(var) + + return var_final + + +def pminuse_2(pr: xr.DataArray, evspsbl: xr.DataArray) -> xr.DataArray: + with xr.set_options(keep_attrs=True): + var = pr + evspsbl + + var_final = pminuse_convert_units(var) + + return var_final + + +def pminuse_3(pr: xr.DataArray, evspsbl: xr.DataArray) -> xr.DataArray: + with xr.set_options(keep_attrs=True): + var = pr - evspsbl + + var_final = pminuse_convert_units(var) + + return var_final + + def pminuse_convert_units(var: xr.DataArray): - if hasattr(var, "units"): - if ( - var.attrs["units"] == "kg/m2/s" - or var.attrs["units"] == "kg m-2 s-1" - or var.attrs["units"] == "kg/s/m^2" - ): - # need to find a solution for units not included in udunits - # var = convert_units( var, 'kg/m2/s' ) - var = var * 3600.0 * 24 # convert to mm/day + units = var.attrs.get("units") + + matching_units = ["kg/m2/s", "kg m-2 s-1", "kg/s/m^2"] + if units in matching_units: + # need to find a solution for units not included in udunits + # var = convert_units( var, 'kg/m2/s' ) + var = var * 3600.0 * 24 # convert to mm/day + var.attrs["units"] = "mm/day" var.attrs["long_name"] = "precip. flux - evap. flux" return var @@ -157,6 +222,8 @@ def albedoc(rsdt: xr.DataArray, rsutcs: xr.DataArray): var.name = "ALBEDOC" var.attrs["units"] = "dimensionless" var.attrs["long_name"] = "TOA albedo clear-sky" + + var = _replace_inf_with_nan(var) return var @@ -377,3 +444,33 @@ def netflux6( var.name = "NET_FLUX_SRF" var.attrs["long_name"] = "Surface Net flux" return var + + +def _replace_inf_with_nan(var: xr.DataArray) -> xr.DataArray: + """Replaces `np.inf` with `np.nan`. + + This function is useful for division arithmetic where divide by zero might + occur. For example, in `albedoc()`, there is reference file where `rsdt` + contains 0s. This function divides `rsutcs / rsdt`. `rsdt` contains 0s, + which results in divide by zeros. + + - CDAT/cdms2 replaces these values with the floats from `rsutcs`, but they + are masked so they will be outputted as `np.nan`. + - Xarray and NumPy replaces these values with `np.inf`. We replace `np.inf` + with `np.nan` to maintain the behavior of the CDAT-based code. + - Related ref file: '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm + /climatology/ceres_ebaf_toa_v4.1/ceres_ebaf_toa_v4.1_JJA_200106_201808_climo.nc' + + Parameters + ---------- + var : xr.DataArray + The variable containing `np.inf`. + + Returns + ------- + xr.DataArray + The variable with `np.inf` replaced with `np.nan`. + """ + var_new = xr.where(var != np.inf, var, np.nan, keep_attrs=True) + + return var_new diff --git a/e3sm_diags/derivations/formulas_cosp.py b/e3sm_diags/derivations/formulas_cosp.py index f49f46a8f..0131d6e6c 100644 --- a/e3sm_diags/derivations/formulas_cosp.py +++ b/e3sm_diags/derivations/formulas_cosp.py @@ -121,7 +121,9 @@ def cosp_bin_sum(target_var_key: str, var: xr.DataArray) -> xr.DataArray: var_sub = var.where(cond, drop=True) # 7. Sum on axis=0 and axis=1 (tau and prs) - var_sum = var_sub.sum(dim=[prs.name, tau.name]) + var_sum = var_sub.sum( + dim=[prs.name, tau.name], keep_attrs=True, skipna=True, min_count=1 + ) # 8. Set the variable's long name based on the original variable's name and # prs ranges. diff --git a/e3sm_diags/derivations/utils.py b/e3sm_diags/derivations/utils.py index 34a74c5ef..ab8e8a2e9 100644 --- a/e3sm_diags/derivations/utils.py +++ b/e3sm_diags/derivations/utils.py @@ -8,6 +8,8 @@ def rename(new_name: str): """Given the new name, just return it.""" + # FIXME: This function does nothing. + # Related issue: https://github.com/E3SM-Project/e3sm_diags/issues/796 return new_name diff --git a/e3sm_diags/driver/__init__.py b/e3sm_diags/driver/__init__.py index 2a9bee4ad..7ceab7b9b 100644 --- a/e3sm_diags/driver/__init__.py +++ b/e3sm_diags/driver/__init__.py @@ -11,4 +11,31 @@ LAND_FRAC_KEY = "LANDFRAC" OCEAN_FRAC_KEY = "OCNFRAC" -MASK_REGION_TO_VAR_KEY = {"land": LAND_FRAC_KEY, "ocean": OCEAN_FRAC_KEY} + +def _get_region_mask_var_key(region: str): + """Get the region's mask variable key. + + This variable key can be used to map the the variable data in a sdataset. + Only land and ocean regions are supported. + + Parameters + ---------- + region : str + The region. + + Returns + ------- + str + The variable key, either "LANDFRAC" or "OCNFRAC". + + Raises + ------ + ValueError + If the region passed is not land or ocean. + """ + if "land" in region: + return LAND_FRAC_KEY + elif "ocean" in region: + return OCEAN_FRAC_KEY + + raise ValueError(f"Only land and ocean regions are supported, not '{region}'.") diff --git a/e3sm_diags/driver/lat_lon_driver.py b/e3sm_diags/driver/lat_lon_driver.py index 3961be59e..9d3e23618 100755 --- a/e3sm_diags/driver/lat_lon_driver.py +++ b/e3sm_diags/driver/lat_lon_driver.py @@ -78,7 +78,11 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) - if not is_vars_3d: + if is_dims_diff: + raise RuntimeError( + "Dimensions of the two variables are different. Aborting." + ) + elif not is_vars_3d: _run_diags_2d( parameter, ds_test, @@ -101,11 +105,6 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: ref_name, ) - elif is_dims_diff: - raise RuntimeError( - "Dimensions of the two variables are different. Aborting." - ) - return parameter diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 9daa209ab..68d417955 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -250,10 +250,15 @@ def _get_global_attr_from_climo_dataset( str | None The attribute string if it exists, otherwise None. """ - filepath = self._get_climo_filepath(season) + attr_val = None - ds = self._open_climo_dataset(filepath) - attr_val = ds.attrs.get(attr) + try: + filepath = self._get_climo_filepath(season) + except OSError: + pass + else: + ds = self._open_climo_dataset(filepath) + attr_val = ds.attrs.get(attr) return attr_val @@ -294,8 +299,8 @@ def get_ref_climo_dataset( # TODO: This logic was carried over from legacy implementation. It # can probably be improved on by setting `ds_ref = None` and not # performing unnecessary operations on `ds_ref` for model-only runs, - # since it is the same as `ds_test``. In addition, returning ds_test makes it difficult for trouble shooting - + # since it is the same as `ds_test`. In addition, returning ds_test + # makes it difficult for debugging. if self.data_type == "ref": try: ds_ref = self.get_climo_dataset(var_key, season) @@ -305,7 +310,6 @@ def get_ref_climo_dataset( self.model_only = True logger.info("Cannot process reference data, analyzing test data only.") - else: raise RuntimeError( "`Dataset._get_ref_dataset` only works with " diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index efe83f601..b303f476f 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -6,7 +6,7 @@ import xcdat as xc from e3sm_diags.derivations.default_regions_xr import REGION_SPECS -from e3sm_diags.driver import MASK_REGION_TO_VAR_KEY +from e3sm_diags.driver import _get_region_mask_var_key from e3sm_diags.logger import custom_logger if TYPE_CHECKING: @@ -62,8 +62,8 @@ def subset_and_align_datasets( logger.info(f"Selected region: {region}") parameter.var_region = region - # Apply a land sea mask or subset on a specific region. - if region == "land" or region == "ocean": + # Apply a land sea mask. + if "land" in region or "ocean" in region: ds_test = _apply_land_sea_mask( ds_test, ds_land_sea_mask, @@ -80,7 +80,9 @@ def subset_and_align_datasets( parameter.regrid_tool, parameter.regrid_method, ) - elif region != "global": + + # Subset on a specific region. + if "global" not in region: ds_test = _subset_on_region(ds_test, var_key, region) ds_ref = _subset_on_region(ds_ref, var_key, region) @@ -230,16 +232,18 @@ def _apply_land_sea_mask( # shape (lat x lon) as the variable then apply the mask to the variable. # Land and ocean masks have a region value which is used as the upper limit # for masking. - output_grid = ds.regridder.grid - mask_var_key = MASK_REGION_TO_VAR_KEY[region] + ds_new = ds.copy() + ds_new = _drop_unused_ilev_axis(ds) + output_grid = ds_new.regridder.grid + mask_var_key = _get_region_mask_var_key(region) - ds_mask_regrid = ds_mask.regridder.horizontal( + ds_mask_new = _drop_unused_ilev_axis(ds_mask) + ds_mask_regrid = ds_mask_new.regridder.horizontal( mask_var_key, output_grid, tool=regrid_tool, method=regrid_method, ) - # Update the mask variable with a lower limit. All values below the # lower limit will be masked. land_sea_mask = ds_mask_regrid[mask_var_key] @@ -250,11 +254,11 @@ def _apply_land_sea_mask( # condition matches values to keep, not values to mask out, `drop` is # set to False because we want to preserve the masked values (`np.nan`) # for plotting purposes. - masked_var = ds[var_key].where(cond=cond, drop=False) + masked_var = ds_new[var_key].where(cond=cond, drop=False) - ds[var_key] = masked_var + ds_new[var_key] = masked_var - return ds + return ds_new def _subset_on_region(ds: xr.Dataset, var_key: str, region: str) -> xr.Dataset: @@ -374,6 +378,9 @@ def align_grids_to_lower_res( if tool == "esmf": tool = "xesmf" + ds_a = _drop_unused_ilev_axis(ds_a) + ds_b = _drop_unused_ilev_axis(ds_b) + lat_a = xc.get_dim_coords(ds_a[var_key], axis="Y") lat_b = xc.get_dim_coords(ds_b[var_key], axis="Y") @@ -395,6 +402,34 @@ def align_grids_to_lower_res( return ds_a_regrid, ds_b +def _drop_unused_ilev_axis(ds: xr.Dataset) -> xr.Dataset: + """Drop the unused ilev axis in a dataset. + + The ilev axis needs to be dropped prior to regridding with xCDAT. Otherwise, + this error might be raised: `ValueError: Multiple 'Z' axis dims were found + in this dataset, ['ilev', 'lev']. Please drop the unused dimension(s) before + performing grid operations.` + + The ilev axis is usually associated with pressure variables such as "hyam" + and "hybm". + + Parameters + ---------- + ds : xr.Dataset + The dataset with a lev and ilev axes. + + Returns + ------- + xr.Dataset + The dataset with a lev axis. + """ + ds_new = ds.copy() + if "ilev" in ds_new.dims: + ds_new = ds_new.drop_dims("ilev") + + return ds_new + + def regrid_z_axis_to_plevs( dataset: xr.Dataset, var_key: str, diff --git a/tests/e3sm_diags/derivations/test_formulas_cosp.py b/tests/e3sm_diags/derivations/test_formulas_cosp.py index cb8b1e554..f6961e560 100644 --- a/tests/e3sm_diags/derivations/test_formulas_cosp.py +++ b/tests/e3sm_diags/derivations/test_formulas_cosp.py @@ -394,7 +394,10 @@ def test_returns_sum(self): expected = xr.DataArray( name="CLD_MISR", data=np.array(6.0), - attrs={"long_name": "MISR: total cloud fraction with tau > 1.3"}, + attrs={ + "test_attr": "test", + "long_name": "MISR: total cloud fraction with tau > 1.3", + }, ) xr.testing.assert_identical(result, expected) @@ -446,7 +449,10 @@ def test_returns_sum_using_prs_subset(self): expected = xr.DataArray( name="CLD_MISR", data=np.array(12), - attrs={"long_name": "MISR: low cloud fraction with tau > 1.3"}, + attrs={ + "test_attr": "test", + "long_name": "MISR: low cloud fraction with tau > 1.3", + }, ) xr.testing.assert_identical(result, expected) @@ -498,7 +504,10 @@ def test_returns_sum_using_prs_subset_with_unit_adjustment(self): expected = xr.DataArray( name="CLD_MISR", data=np.array(12), - attrs={"long_name": "MISR: low cloud fraction with tau > 1.3"}, + attrs={ + "test_attr": "test", + "long_name": "MISR: low cloud fraction with tau > 1.3", + }, ) xr.testing.assert_identical(result, expected) @@ -550,7 +559,10 @@ def test_returns_sum_using_tau_subset_with_adjusted_min_and_max(self): expected = xr.DataArray( name="CLD_MISR", data=np.array(6), - attrs={"long_name": "MISR: total cloud fraction with 1.3 < tau < 9.4"}, + attrs={ + "test_attr": "test", + "long_name": "MISR: total cloud fraction with 1.3 < tau < 9.4", + }, ) xr.testing.assert_identical(result, expected) @@ -602,7 +614,10 @@ def test_returns_sum_using_tau_subset_with_adjusted_min_only(self): expected = xr.DataArray( name="CLD_MISR", data=np.array(12), - attrs={"long_name": "MISR: total cloud fraction with tau > 1.3"}, + attrs={ + "test_attr": "test", + "long_name": "MISR: total cloud fraction with tau > 1.3", + }, ) xr.testing.assert_identical(result, expected) From f69ee149b8d67a4bb47407cd61ca467ce1b677d7 Mon Sep 17 00:00:00 2001 From: forsyth2 <30700190+forsyth2@users.noreply.github.com> Date: Thu, 14 Mar 2024 12:34:37 -0700 Subject: [PATCH 12/41] CDAT Migration: Refactor `polar` set (#749) Co-authored-by: Tom Vo --- .../659-polar/659_polar.cfg | 1055 +++++++++ ...59_polar_cdat_regression_test_netcdf.ipynb | 2011 +++++++++++++++++ .../659-polar/659_polar_run_script.py | 11 + .../template_run_script.py | 4 +- e3sm_diags/driver/polar_driver.py | 511 +++-- e3sm_diags/driver/utils/regrid.py | 49 +- e3sm_diags/plot/cartopy/polar_plot.py | 278 --- e3sm_diags/plot/cosp_histogram_plot.py | 78 +- e3sm_diags/plot/polar_plot.py | 244 ++ e3sm_diags/plot/utils.py | 94 +- e3sm_diags/plot/zonal_mean_2d_plot.py | 2 +- 11 files changed, 3727 insertions(+), 610 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/659-polar/659_polar.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/659-polar/659_polar_cdat_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/659-polar/659_polar_run_script.py delete mode 100644 e3sm_diags/plot/cartopy/polar_plot.py create mode 100644 e3sm_diags/plot/polar_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/659-polar/659_polar.cfg b/auxiliary_tools/cdat_regression_testing/659-polar/659_polar.cfg new file mode 100644 index 000000000..d5017de4b --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/659-polar/659_polar.cfg @@ -0,0 +1,1055 @@ +[#] +sets = ["polar"] +case_id = "GPCP_v3.2" +variables = ["PRECT"] +ref_name = "GPCP_v3.2" +reference_name = "GPCP v2.2" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +regions = ["polar_S"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "BrBG" +contour_levels = [0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5] +diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +[#] +sets = ["polar"] +case_id = "GPCP_v3.2" +variables = ["PRECT"] +ref_name = "GPCP_v3.2" +reference_name = "GPCP v2.2" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +regions = ["polar_N"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "BrBG" +contour_levels = [0.5, 1, 1.5, 2, 3, 4, 5, 7.5, 10] +diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "GPCP_v2.3" +# variables = ["PRECT"] +# ref_name = "GPCP_v2.3" +# reference_name = "GPCP v2.3" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5] +# diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "GPCP_v2.3" +# variables = ["PRECT"] +# ref_name = "GPCP_v2.3" +# reference_name = "GPCP v2.3" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 1.5, 2, 3, 4, 5, 7.5, 10] +# diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "CRU_IPCC" +# variables = ["TREFHT"] +# regions = ["polar_N"] +# ref_name = "CRU" +# reference_name = "CRU Global Monthly Mean T" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +# diff_levels = [-15, -10, -5, -2, -1, -0.5, -0.2, 0, 0.2, 0.5, 1, 2, 5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "SST_HadISST" +# variables = ["SST"] +# ref_name = "HadISST" +# reference_name = "HadISST" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [-1, 0, 1, 3, 5, 7, 9, 11, 13, 15] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + + +# [#] +# sets = ["polar"] +# case_id = "SST_CL_HadISST" +# variables = ["SST"] +# ref_name = "HadISST_CL" +# reference_name = "HadISST (Climatology)" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [-1, 0, 1, 3, 5, 7, 9, 11, 13, 15] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + + +# [#] +# sets = ["polar"] +# case_id = "SST_PI_HadISST" +# variables = ["SST"] +# ref_name = "HadISST_PI" +# reference_name = "HadISST (Pre-Indust)" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [-1, 0, 1, 3, 5, 7, 9, 11, 13, 15] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + + +# [#] +# sets = ["polar"] +# case_id = "SST_PD_HadISST" +# variables = ["SST"] +# ref_name = "HadISST_PD" +# reference_name = "HadISST (Present Day)" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [-1, 0, 1, 3, 5, 7, 9, 11, 13, 15] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["ALBEDO_SRF"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.4, 0.5, 0.6, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95] +# diff_levels = [-0.25, -0.2, -0.15, -0.1, -0.07, -0.05, -0.02, 0.02, 0.05, 0.07, 0.1, 0.15, 0.2, 0.25] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["SWCFSRF"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [-170, -150, -135, -120, -105, -90, -75, -60, -45, -30, -15, 0, 15, 30, 45] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["LWCFSRF"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 10, 20, 30, 40, 50, 60, 70, 80] +# diff_levels = [-35, -30, -25, -20, -15, -10, -5, -2, 2, 5, 10, 15, 20, 25, 30, 35] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FLDS"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 50, 100, 150, 200, 250, 300, 350, 400, 450] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FLDSC"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 50, 100, 150, 200, 250, 300, 350, 400, 450] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FLNS"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 10, 20, 30, 40, 50, 60, 70, 80] +# diff_levels = [-50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FLNSC"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 20, 40, 60, 80, 100, 120, 140, 160] +# diff_levels = [-50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FSDS"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 50, 100, 150, 200, 250, 300, 350, 400, 450] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FSDSC"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 50, 100, 150, 200, 250, 300, 350, 400, 450] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FSNS"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 50, 100, 150, 200, 250, 300, 350, 400] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + + +# [#] +# sets = ["polar"] +# case_id = "CERES-EBAF-surface-v4.1" +# variables = ["FSNSC"] +# ref_name = "ceres_ebaf_surface_v4.1" +# reference_name = "CERES-EBAF v4.1" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0, 50, 100, 150, 200, 250, 300, 350, 400] +# diff_levels = [-75, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 75] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["LHFLX"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [-15, 0, 15, 30, 45, 60, 75, 90, 105, 120] +# diff_levels = [-65, -55, -45, -35, -25, -15, -5, 5, 15, 25, 35, 45, 55, 65] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["TAUXY"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0., 0.01, 0.02,0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.2, 0.5, 1.0] +# diff_levels = [-0.1, -0.08, -0.06, -0.05, -0.04, -0.03, -0.02, -0.01, 0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.08, 0.1] + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["TREFHT"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# regions = ["polar_N", "polar_S"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +# diff_levels = [-15, -10, -5, -2, -1, -0.5, -0.2, 0, 0.2, 0.5, 1, 2, 5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["PSL"] +# ref_name = "ERA5" +# regions = ["polar_S", "polar_N"] +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [955, 965, 975,980, 985, 990, 995, 1000, 1005, 1010, 1015, 1020, 1025, 1035] +# diff_levels = [ -16, -12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12, 16] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["PRECT"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5] +# diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["PRECT"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 1.5, 2, 3, 4, 5, 7.5, 10] +# diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["TMQ"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [0, 1, 2, 4, 6, 8, 12, 14, 16, 18, 20, 22] +# diff_levels = [-5, -4, -3, -2, -1, 1, 2, 3, 4, 5] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["U"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [850.0] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-20, -15, -10, -8, -5, -3, -1, 1, 3, 5, 8, 10, 15, 20] +# diff_levels = [-8, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 8] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["U"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [200.0] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-50, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 50] +# diff_levels = [-8, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 8] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["Z3"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [500.0] +# contour_levels = [48, 49, 50, 51, 52, 53, 54, 55, 56] +# diff_levels = [-1.8, -1.4, -1.0, -0.6, -0.2, 0.2, 0.6, 1.0, 1.4, 1.8] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_S"] +# plevs = [850.0] +# contour_levels = [240, 244, 248, 252, 256, 260, 264, 268, 272] +# diff_levels = [-15, -10, -7.5, -5, -2.5, -1, 1, 2.5, 5, 7.5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_N"] +# plevs = [850.0] +# contour_levels = [256, 258, 260, 262, 264, 268, 270, 272, 274, 276] +# diff_levels = [-15, -10, -7.5, -5, -2.5, -1, 1, 2.5, 5, 7.5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [850.0] +# contour_levels = [230, 240, 250, 260, 270, 280, 290, 300, 310] +# diff_levels = [-15, -10, -7.5, -5, -2.5, -1, 1, 2.5, 5, 7.5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_S"] +# plevs = [200.0] +# contour_levels = [210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220] +# diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_N"] +# plevs = [200.0] +# contour_levels = [215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225] +# diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +# [#] +# sets = ["polar"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [200.0] +# contour_levels = [200, 205, 210, 215, 220, 225, 230, 235, 240] +# diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["LHFLX"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [-15, 0, 15, 30, 45, 60, 75, 90, 105, 120] +# diff_levels = [-65, -55, -45, -35, -25, -15, -5, 5, 15, 25, 35, 45, 55, 65] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["PRECT"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5] +# diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["PRECT"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 1.5, 2, 3, 4, 5, 7.5, 10] +# diff_levels = [-2, -1.5, -1, -0.75, -0.5, -0.25, 0.25, 0.5, 0.75, 1, 1.5, 2] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["TMQ"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [0, 1, 2, 4, 6, 8, 12, 14, 16, 18, 20, 22] +# diff_levels = [-5, -4, -3, -2, -1, 1, 2, 3, 4, 5] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["U"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [850.0] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-20, -15, -10, -8, -5, -3, -1, 1, 3, 5, 8, 10, 15, 20] +# diff_levels = [-8, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 8] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["U"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [200.0] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-50, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 50] +# diff_levels = [-8, -6, -5, -4, -3, -2, -1, 1, 2, 3, 4, 5, 6, 8] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["Z3"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [500.0] +# contour_levels = [48, 49, 50, 51, 52, 53, 54, 55, 56] +# diff_levels = [-1.8, -1.4, -1.0, -0.6, -0.2, 0.2, 0.6, 1.0, 1.4, 1.8] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["T"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_S"] +# plevs = [850.0] +# contour_levels = [240, 244, 248, 252, 256, 260, 264, 268, 272] +# diff_levels = [-15, -10, -7.5, -5, -2.5, -1, 1, 2.5, 5, 7.5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["T"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_N"] +# plevs = [850.0] +# contour_levels = [256, 258, 260, 262, 264, 268, 270, 272, 274, 276] +# diff_levels = [-15, -10, -7.5, -5, -2.5, -1, 1, 2.5, 5, 7.5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["T"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [850.0] +# contour_levels = [230, 240, 250, 260, 270, 280, 290, 300, 310] +# diff_levels = [-15, -10, -7.5, -5, -2.5, -1, 1, 2.5, 5, 7.5, 10, 15] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["T"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_S"] +# plevs = [200.0] +# contour_levels = [210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220] +# diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["T"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN"] +# regions = ["polar_N"] +# plevs = [200.0] +# contour_levels = [215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225] +# diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["T"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# plevs = [200.0] +# contour_levels = [200, 205, 210, 215, 220, 225, 230, 235, 240] +# diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["TAUXY"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [0., 0.01, 0.02,0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.2, 0.5, 1.0] +# diff_levels = [-0.1, -0.08, -0.06, -0.05, -0.04, -0.03, -0.02, -0.01, 0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.08, 0.1] + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["TREFHT"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# regions = ["polar_N", "polar_S"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +# diff_levels = [-15, -10, -5, -2, -1, -0.5, -0.2, 0, 0.2, 0.5, 1, 2, 5, 10, 15] + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["TREFMNAV"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# regions = ["polar_N", "polar_S"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +# diff_levels = [-15, -10, -5, -2, -1, -0.5, -0.2, 0, 0.2, 0.5, 1, 2, 5, 10, 15] + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["TREFMXAV"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# regions = ["polar_N", "polar_S"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +# diff_levels = [-15, -10, -5, -2, -1, -0.5, -0.2, 0, 0.2, 0.5, 1, 2, 5, 10, 15] + +# [#] +# sets = ["polar"] +# case_id = "MERRA2" +# variables = ["PSL"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# regions = ["polar_S", "polar_N"] +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [955, 965, 975,980, 985, 990, 995, 1000, 1005, 1010, 1015, 1020, 1025, 1035] +# diff_levels = [ -16, -12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12, 16] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_bc_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 50, 100, 200, 300, 400, 500, 600, 700] +# diff_levels = [-700, -600, -500, -400, -300, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 300, 400, 500, 600, 700] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_bc_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.5, 1, 2, 3, 4, 5] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_ncl_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N", "polar_S"] +# contour_levels = [0, 100, 500, 1000, 2000, 5000, 10000, 15000, 20000] +# diff_levels = [-800, -600, -500, -400, -300, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 300, 400, 500, 600, 800] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_so4_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 50, 100, 200, 400, 600, 800, 1000, 1200, 1400, 1600] +# diff_levels = [-1200, -1000, -800, -600, -400, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 400, 600, 800, 1000, 1200] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_so4_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 10, 20, 40, 60, 80, 100, 120, 140, 160, 180, 200] +# diff_levels = [-20, -10, -5, -2, -1, 1, 2, 5, 10, 20] + + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_dst_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N", "polar_S"] +# contour_levels = [0, 100, 500, 1000, 2000, 5000, 10000, 15000, 20000, 30000] +# diff_levels = [-6000, -5000, -4000, -3000, -2000, -1000, -500, -100, -50, -25, -10, 10, 25, 50, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_pom_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 50, 100, 200, 400, 600, 800, 1000, 1200, 1400, 1600, 1800, 2000, 2400] +# diff_levels = [-1500, -1200, -1000, -800, -600, -400, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 400, 600, 800, 1000, 1200, 1500] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_pom_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] +# diff_levels = [-10, -9, -8, -7, -6, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_mom_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 1, 2, 4, 6, 8, 10, 12, 14, 20, 30, 40, 50] +# diff_levels = [-25, -20, -15, -10, -5, -2, -1, 1, 2, 5, 10, 15, 20, 25] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_mom_srf"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 25, 50, 100, 150, 200, 300, 400, 500] +# diff_levels = [-40, -30, -20, -10, -5, -2, -1, 1, 2, 5, 10, 20, 30, 40] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_bc_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.1, 0.2, 0.5, 1, 2, 3, 3.5] +# diff_levels = [-3, -2, -1, -0.5, -0.2, -0.1, -0.05, -0.02, 0.02, 0.05, 0.1, 0.2, 0.5, 1, 2, 3] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_ncl_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 100, 200, 500, 1000, 2000, 3000, 4000, 5000, 7000] +# diff_levels = [-250, -200, -150, -100, -50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50, 100, 150, 200, 250] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_so4_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 1, 2, 5, 10, 20, 30, 40, 50, 100, 150] +# diff_levels = [-25, -20, -15, -10, -5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5, 10, 15, 20, 25] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_dst_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 10, 20, 50, 100, 200, 300, 400, 500, 700, 1000] +# diff_levels = [-100, -80, -60, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 60, 80, 100] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_pom_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.5, 1, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20] +# diff_levels = [-10, -7, -5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5, 7, 10] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_soa_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 1, 2, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100] +# diff_levels = [-40, -30, -20, -10, -5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5, 10, 20, 30, 40] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_mom_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.5, 1, 2, 4, 6, 8, 10, 20, 40, 60, 80] +# diff_levels = [-8, -6, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 6, 8] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_bc_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.1, 0.2, 0.5, 1, 2, 4, 6, 8, 10, 12, 15] +# diff_levels = [-10, -8, -6, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 6, 8, 10] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_ncl_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 5, 10, 20, 40, 60, 80, 100, 150, 200, 250, 300, 350] +# diff_levels = [-30, -25, -20, -15, -10, -8, -6, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 6, 8, 10, 15, 20, 25, 30] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_so4_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 10, 20, 40, 60, 80, 100, 150, 200, 250, 300] +# diff_levels = [-150, -100, -80, -60, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 60, 80, 100, 150] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_dst_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 10, 20, 40, 60, 80, 100, 150, 200, 300, 400, 500, 600, 800, 1000, 1200] +# diff_levels = [-200, -150, -100, -80, -60, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_pom_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 2, 4, 6, 8, 10, 20, 30, 40, 50, 60, 80, 100] +# diff_levels = [-50, -40, -30, -20, -10, -5, -2, -1, -0.5, 0.5, 1, 2, 5, 10, 20, 30, 40, 50] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_soa_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 10, 20, 40, 60, 80, 100, 150, 200, 250, 300, 350] +# diff_levels = [-150, -100, -80, -60, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 60, 80, 100, 150] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_mom_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S"] +# contour_levels = [0, 0.1, 0.2, 0.5, 1, 2, 4, 6, 8, 10] +# diff_levels = [-0.5, -0.4, -0.3, -0.2, -0.1, -0.05, -0.02, -0.01, -0.005, -0.002, 0.002, 0.005, 0.01, 0.02, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_bc_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 10, 20, 40, 60, 80, 100, 150] +# diff_levels = [-100, -80, -60, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 60, 80, 100] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_ncl_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 100, 200, 400, 600, 800, 1000, 1500, 2000, 2500, 3000, 4000, 5000] +# diff_levels = [-250, -200, -150, -100, -80, -60, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 250] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_so4_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 20, 40, 60, 80, 100, 150, 200, 300, 400, 500, 600, 700, 800, 1000] +# diff_levels = [-900, -700, -500, -400, -300, -200, -150, -100, -80, -60, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400, 500, 700, 800, 900] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_dst_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 1000, 2000, 4000, 6000, 8000, 10000, 15000, 20000] +# diff_levels = [-2000, -1500, -1000, -800, -600, -400, -300, -200, -150, -100, -80, -60, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400, 600, 800, 1000, 1500, 2000] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_pom_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 50, 100, 200, 300, 400, 600, 800, 1000, 1200] +# diff_levels = [-300, -200, -150, -100, -80, -60, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_soa_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 100, 200, 400, 600, 800, 1000, 1500, 2000, 2500, 3000, 3600] +# diff_levels = [-700, -500, -400, -300, -200, -150, -100, -80, -60, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400, 500, 700] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_mom_850"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 2, 4, 6, 8, 10, 20, 30, 40, 50, 60, 80, 100] +# diff_levels = [-10, -8, -6, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 6, 8, 10] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_bc_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 1, 2, 4, 6, 8, 10, 20, 30, 40, 50] +# diff_levels = [-50, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 50] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_ncl_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 5, 10, 20, 30, 40, 50, 60, 80, 100, 120, 150] +# diff_levels = [-30, -20, -15, -10, -8, -6, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 6, 8, 10, 15, 20, 30] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_so4_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 50, 100, 200, 300, 400, 500, 600, 700] +# diff_levels = [-600, -500, -400, -300, -200, -150, -100, -80, -60, -40, -30, -20, -10, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400, 500, 600] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_dst_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 9000] +# diff_levels = [-1000, -700, -500, -400, -300, -200, -150, -100, -80, -60, -40, -30, -20, -10, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400, 500, 700, 1000] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_pom_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 10, 20, 30, 40, 50, 60, 80, 100, 120, 150, 200] +# diff_levels = [-120, -100, -80, -60, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 60, 80, 100, 120] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_soa_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 50, 100, 200, 300, 400, 500, 600, 700, 1000] +# diff_levels = [-400, -300, -200, -150, -100, -80, -60, -40, -30, -20, -10, 10, 20, 30, 40, 60, 80, 100, 150, 200, 300, 400] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["Mass_mom_330"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_N"] +# contour_levels = [0, 0.1, 0.2, 0.4, 0.6, 0.8, 1, 2, 3, 4] +# diff_levels = [-0.5, -0.4, -0.3, -0.2, -0.1, -0.05, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["AODDUST", "AODBC", "AODSS", "AODPOM", "AODMOM", "AODSOA", "AODSO4", "AODSO4_STR", "AODSO4_TRO"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [0, 0.02, 0.04, 0.06, 0.08, 0.10, 0.12] +# diff_levels = [-0.02, -0.01, -0.005, -0.0025, -0.0010, -0.0005, 0.0005, 0.0010, 0.0025, 0.005, 0.01, 0.02] + +# [#] +# sets = ["polar"] +# case_id = "aero-no-ref-data" +# variables = ["AODVIS"] +# seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +# regions = ["polar_S", "polar_N"] +# contour_levels = [0, 0.03, 0.06, 0.09, 0.12, 0.15, 0.18] +# diff_levels = [-0.05, -0.04, -0.03, -0.02, -0.01, -0.005, -0.0025, 0.0025, 0.005, 0.01, 0.02, 0.03, 0.04, 0.05] diff --git a/auxiliary_tools/cdat_regression_testing/659-polar/659_polar_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/659-polar/659_polar_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..7e9666cc5 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/659-polar/659_polar_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,2011 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"polar\"\n", + "SET_DIR = \"659-polar\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (498 vs. 486).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (498 vs. 486)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Why are there 12 more dev files?\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Check which files were not produced by `main`\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['HadISST-SST-ANN-polar_N_diff.nc',\n", + " 'HadISST-SST-JJA-polar_N_test.nc',\n", + " 'HadISST-SST-ANN-polar_N_ref.nc',\n", + " 'HadISST-SST-JJA-polar_S_test.nc',\n", + " 'HadISST-SST-JJA-polar_S_diff.nc',\n", + " 'HadISST-SST-JJA-polar_S_ref.nc',\n", + " 'HadISST-SST-ANN-polar_S_diff.nc',\n", + " 'HadISST-SST-ANN-polar_N_test.nc',\n", + " 'HadISST-SST-ANN-polar_S_ref.nc',\n", + " 'HadISST-SST-JJA-polar_N_ref.nc',\n", + " 'HadISST-SST-JJA-polar_N_diff.nc',\n", + " 'HadISST-SST-ANN-polar_S_test.nc']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dev_files = [f.split(\"/\")[-1] for f in DEV_GLOB]\n", + "main_files = [f.split(\"/\")[-1] for f in MAIN_GLOB]\n", + "\n", + "list(set(dev_files) - set(main_files))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Root cause: The reason is because these runs are model-only which means test and ref are the same\n", + "variables.**\n", + "\n", + "**Conclusion: There is nothing wrong here, just different I/O behaviors when writing out\n", + "ref and diff variables. xCDAT will always write out datasets even if they are the same,\n", + "while CDAT does not.**\n", + "\n", + "1. `cdat-migration-fy24`\n", + "\n", + " - The `ref` and `diff` variables are xr.Dataset objects and written out with `_write_vars_to_netcdf()`\n", + "\n", + "2. `main`\n", + "\n", + " - The `ref` and `diff` variables are `None` when calling `save_netcdf()` are `None`.\n", + " Attempting to write out these variables results in:\n", + "\n", + " ```python\n", + " 2024-03-04 09:39:16,678 [ERROR]: core_parameter.py(_run_diag:267) >> Error in e3sm_diags.driver.lat_lon_driver\n", + " Traceback (most recent call last):\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/parameter/core_parameter.py\", line 264, in _run_diag\n", + " single_result = module.run_diag(self)\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/lat_lon_driver.py\", line 232, in run_diag\n", + " create_and_save_data_and_metrics(parameter, mv1_domain, mv2_domain)\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/lat_lon_driver.py\", line 61, in create_and_save_data_and_metrics\n", + " utils.general.save_ncfiles(\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/utils/general.py\", line 352, in save_ncfiles\n", + " if ref.id.startswith(\"variable_\"):\n", + " AttributeError: 'NoneType' object has no attribute 'id'\n", + " ```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-LHFLX-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-PSL-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-T-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TAUXY-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TMQ-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-TREFHT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-U-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/ERA5/ERA5-Z3-500-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-PSL-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-T-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-U-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/659-polar/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All files are within rtol 1e-05.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/659-polar/659_polar_run_script.py b/auxiliary_tools/cdat_regression_testing/659-polar/659_polar_run_script.py new file mode 100644 index 000000000..b50f0bccd --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/659-polar/659_polar_run_script.py @@ -0,0 +1,11 @@ +# python -m auxiliary_tools.cdat_regression_testing.792-lat-lon-run-script.792_lat_lon_run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "polar" +SET_DIR = "659-polar" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/659-polar/659_polar.cfg" +MULTIPROCESSING = False + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/template_run_script.py b/auxiliary_tools/cdat_regression_testing/template_run_script.py index 14764e0da..a36d4bab3 100644 --- a/auxiliary_tools/cdat_regression_testing/template_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/template_run_script.py @@ -17,8 +17,8 @@ to run the script as a Python module - Command: python -m auxiliary_tools.cdat_regression_testing.-. - Example: python -m auxiliary_tools.cdat_regression_testing.660_cosp_histogram.run_script -7. Run `chown -R o=rx ` to allow public access to viewer outputs on the NERSC webserver - - Example: `chown -R o=rx /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/654-zonal_mean_xy` +7. Run `chmod -R o=rx ` to allow public access to viewer outputs on the NERSC webserver + - Example: `chmod -R o=rx /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/654-zonal_mean_xy` - https://portal.nersc.gov/project/e3sm/cdat-migration-fy24/ 8. Make a copy of the CDAT regression testing notebook in the same directory as this script and follow the instructions there to start testing. diff --git a/e3sm_diags/driver/polar_driver.py b/e3sm_diags/driver/polar_driver.py index 32a8dfc19..837ff1c5f 100755 --- a/e3sm_diags/driver/polar_driver.py +++ b/e3sm_diags/driver/polar_driver.py @@ -1,16 +1,21 @@ from __future__ import annotations -import os -from typing import TYPE_CHECKING - -import cdms2 -import MV2 - -import e3sm_diags -from e3sm_diags.driver import utils +from typing import TYPE_CHECKING, List + +import xarray as xr + +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import ( + get_z_axis, + has_z_axis, + regrid_z_axis_to_plevs, + subset_and_align_datasets, +) +from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, max_cdms, mean, min_cdms, rmse -from e3sm_diags.plot import plot +from e3sm_diags.metrics.metrics import correlation, rmse, spatial_avg +from e3sm_diags.plot.polar_plot import plot as plot_func logger = custom_logger(__name__) @@ -18,247 +23,281 @@ from e3sm_diags.parameter.core_parameter import CoreParameter -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the mean, max, min, rmse, corr in a dictionary""" - metrics_dict = {} - metrics_dict["ref"] = { - "min": min_cdms(ref), - "max": max_cdms(ref), - "mean": mean(ref), - } - metrics_dict["test"] = { - "min": min_cdms(test), - "max": max_cdms(test), - "mean": mean(test), - } - - metrics_dict["diff"] = { - "min": min_cdms(diff), - "max": max_cdms(diff), - "mean": mean(diff), - } - metrics_dict["misc"] = { - "rmse": rmse(test_regrid, ref_regrid), - "corr": corr(test_regrid, ref_regrid), - } - - return metrics_dict - - def run_diag(parameter: CoreParameter) -> CoreParameter: variables = parameter.variables seasons = parameter.seasons ref_name = getattr(parameter, "ref_name", "") regions = parameter.regions - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key - # Get land/ocean fraction for masking. - try: - land_frac = test_data.get_climo_variable("LANDFRAC", season) - ocean_frac = test_data.get_climo_variable("OCNFRAC", season) - except Exception: - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" - ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var + # Get land/ocean fraction for masking. + ds_land_sea_mask: xr.Dataset = test_ds._get_land_sea_mask(season) - mv1 = test_data.get_climo_variable(var, season) - mv2 = ref_data.get_climo_variable(var, season) + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) - parameter.viewer_descr[var] = ( - mv1.long_name - if hasattr(mv1, "long_name") - else "No long_name attr in test data." - ) + # Store the variable's DataArray objects for reuse. + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] - # Special case, cdms didn't properly convert mask with fill value - # -999.0, filed issue with Denis. - if ref_name == "WARREN": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 == -0.9, mv2) - # The following should be moved to a derived variable. - if ref_name == "AIRS": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 > 1e20, mv2) - if ref_name == "WILLMOTT" or ref_name == "CLOUDSAT": - # This is cdms2 fix for bad mask, Denis' fix should fix this. - mv2 = MV2.masked_where(mv2 == -999.0, mv2) - - # The following should be moved to a derived variable. - if var == "PRECT_LAND": - days_season = { - "ANN": 365, - "DJF": 90, - "MAM": 92, - "JJA": 92, - "SON": 91, - } - # mv1 = mv1 * days_season[season] * 0.1 # following AMWG - # Approximate way to convert to seasonal cumulative - # precipitation, need to have solution in derived variable, - # unit convert from mm/day to cm. - mv2 = ( - mv2 / days_season[season] / 0.1 - ) # Convert cm to mm/day instead. - mv2.units = "mm/day" - - # For variables with a z-axis. - if mv1.getLevel() and mv2.getLevel(): - plev = parameter.plevs - logger.info("Selected pressure level: {}".format(plev)) - - mv1_p = utils.general.convert_to_pressure_levels( - mv1, plev, test_data, var, season - ) - mv2_p = utils.general.convert_to_pressure_levels( - mv2, plev, ref_data, var, season - ) + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) - # Select plev. - for ilev in range(len(plev)): - mv1 = mv1_p[ilev,] - mv2 = mv2_p[ilev,] - - for region in regions: - logger.info("Selected region: {}".format(region)) - - mv1_domain = utils.general.select_region( - region, mv1, land_frac, ocean_frac, parameter - ) - mv2_domain = utils.general.select_region( - region, mv2, land_frac, ocean_frac, parameter - ) - - parameter.output_file = "-".join( - [ - ref_name, - var, - str(int(plev[ilev])), - season, - region, - ] - ) - parameter.main_title = str( - " ".join( - [ - var, - str(int(plev[ilev])), - "mb", - season, - region, - ] - ) - ) - - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - mv1_reg, mv2_reg = utils.general.regrid_to_lower_res( - mv1_domain, - mv2_domain, - parameter.regrid_tool, - parameter.regrid_method, - ) - - # Plotting - diff = mv1_reg - mv2_reg - metrics_dict = create_metrics( - mv2_domain, mv1_domain, mv2_reg, mv1_reg, diff - ) - - parameter.var_region = region - plot( - parameter.current_set, - mv2_domain, - mv1_domain, - diff, - metrics_dict, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_domain, - mv2_domain, - diff, - parameter, - ) - - # For variables without a z-axis. - elif mv1.getLevel() is None and mv2.getLevel() is None: - for region in regions: - logger.info("Selected region: {}".format(region)) - - mv1_domain = utils.general.select_region( - region, mv1, land_frac, ocean_frac, parameter - ) - mv2_domain = utils.general.select_region( - region, mv2, land_frac, ocean_frac, parameter - ) - - parameter.output_file = "-".join([ref_name, var, season, region]) - parameter.main_title = str(" ".join([var, season, region])) - - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - mv1_reg, mv2_reg = utils.general.regrid_to_lower_res( - mv1_domain, - mv2_domain, - parameter.regrid_tool, - parameter.regrid_method, - ) - - # Special case. - if var == "TREFHT_LAND" or var == "SST": - if ref_name == "WILLMOTT": - mv2_reg = MV2.masked_where( - mv2_reg == mv2_reg.fill_value, mv2_reg - ) - - land_mask = MV2.logical_or(mv1_reg.mask, mv2_reg.mask) - mv1_reg = MV2.masked_where(land_mask, mv1_reg) - mv2_reg = MV2.masked_where(land_mask, mv2_reg) - - diff = mv1_reg - mv2_reg - metrics_dict = create_metrics( - mv2_domain, mv1_domain, mv2_reg, mv1_reg, diff - ) - parameter.var_region = region - - plot( - parameter.current_set, - mv2_domain, - mv1_domain, - diff, - metrics_dict, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - mv1_domain, - mv2_domain, - diff, - parameter, - ) - - else: + if is_dims_diff: raise RuntimeError( "Dimensions of the two variables are different. Aborting." ) + elif not is_vars_3d: + _run_diags_2d( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) + elif is_vars_3d: + _run_diags_3d( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) return parameter + + +def _run_diags_2d( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run diagnostics on a 2D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + for region in regions: + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) + + ( + ds_test_region, + ds_test_region_regrid, + ds_ref_region, + ds_ref_region_regrid, + ds_diff_region, + ) = subset_and_align_datasets( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + var_key, + region, + ) + + metrics_dict = _create_metrics_dict( + var_key, + ds_test_region, + ds_test_region_regrid, + ds_ref_region, + ds_ref_region_regrid, + ds_diff_region, + ) + + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_test_region, + ds_ref_region, + ds_diff_region, + metrics_dict, + ) + + +def _run_diags_3d( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run diagnostics on a 3D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + plev = parameter.plevs + logger.info("Selected pressure level(s): {}".format(plev)) + + ds_test_rg = regrid_z_axis_to_plevs(ds_test, var_key, parameter.plevs) + ds_ref_rg = regrid_z_axis_to_plevs(ds_ref, var_key, parameter.plevs) + + for ilev in plev: + z_axis_key = get_z_axis(ds_test_rg[var_key]).name + ds_test_ilev = ds_test_rg.sel({z_axis_key: ilev}) + ds_ref_ilev = ds_ref_rg.sel({z_axis_key: ilev}) + + for region in regions: + ( + ds_test_region, + ds_test_region_regrid, + ds_ref_region, + ds_ref_region_regrid, + ds_diff_region, + ) = subset_and_align_datasets( + parameter, + ds_test_ilev, + ds_ref_ilev, + ds_land_sea_mask, + var_key, + region, + ) + + metrics_dict = _create_metrics_dict( + var_key, + ds_test_region, + ds_test_region_regrid, + ds_ref_region, + ds_ref_region_regrid, + ds_diff_region, + ) + + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_test_region, + ds_ref_region, + ds_diff_region, + metrics_dict, + ) + + +def _create_metrics_dict( + var_key: str, + ds_test: xr.Dataset, + ds_test_regrid: xr.Dataset, + ds_ref: xr.Dataset, + ds_ref_regrid: xr.Dataset, + ds_diff: xr.Dataset, +) -> MetricsDict: + """Calculate metrics using the variable in the datasets. + + Metrics include min value, max value, spatial average (mean), standard + deviation, correlation (pearson_r), and RMSE. + + Parameters + ---------- + var_key : str + The variable key. + ds_test : xr.Dataset + The test dataset. + ds_test_regrid : xr.Dataset + The regridded test Dataset. + ds_ref : xr.Dataset + The reference dataset. + ds_ref_regrid : xr.Dataset + The regridded reference dataset. + ds_diff : xr. Dataset + The difference between ``ds_test_regrid`` and ``ds_ref_regrid``. + + Returns + ------- + Metrics + A dictionary with the key being a string and the value being either + a sub-dictionary (key is metric and value is float) or a string + ("unit"). + """ + metrics_dict = {} + + metrics_dict["units"] = ds_test[var_key].attrs["units"] + metrics_dict["ref"] = { + "min": ds_ref[var_key].min().item(), + "max": ds_test[var_key].max().item(), + "mean": spatial_avg(ds_ref, var_key, axis=["X", "Y"]), + } + metrics_dict["test"] = { + "min": ds_test[var_key].min().item(), + "max": ds_test[var_key].max().item(), + "mean": spatial_avg(ds_test, var_key, axis=["X", "Y"]), + } + + metrics_dict["diff"] = { + "min": ds_diff[var_key].min().item(), + "max": ds_diff[var_key].max().item(), + "mean": spatial_avg(ds_diff, var_key, axis=["X", "Y"]), + } + + metrics_dict["misc"] = { + "rmse": rmse(ds_test_regrid, ds_ref_regrid, var_key, axis=["X", "Y"]), + "corr": correlation(ds_test_regrid, ds_ref_regrid, var_key, axis=["X", "Y"]), + } + + return metrics_dict diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index b303f476f..13a810e0f 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -59,21 +59,24 @@ def subset_and_align_datasets( dataset, the ref dataset, the regridded ref dataset, and the difference between regridded datasets. """ + ds_test_new = ds_test.copy() + ds_ref_new = ds_ref.copy() + logger.info(f"Selected region: {region}") parameter.var_region = region # Apply a land sea mask. if "land" in region or "ocean" in region: - ds_test = _apply_land_sea_mask( - ds_test, + ds_test_new = _apply_land_sea_mask( + ds_test_new, ds_land_sea_mask, var_key, region, # type: ignore parameter.regrid_tool, parameter.regrid_method, ) - ds_ref = _apply_land_sea_mask( - ds_ref, + ds_ref_new = _apply_land_sea_mask( + ds_ref_new, ds_land_sea_mask, var_key, region, # type: ignore @@ -83,12 +86,12 @@ def subset_and_align_datasets( # Subset on a specific region. if "global" not in region: - ds_test = _subset_on_region(ds_test, var_key, region) - ds_ref = _subset_on_region(ds_ref, var_key, region) + ds_test_new = _subset_on_region(ds_test, var_key, region) + ds_ref_new = _subset_on_region(ds_ref, var_key, region) ds_test_regrid, ds_ref_regrid = align_grids_to_lower_res( - ds_test, - ds_ref, + ds_test_new, + ds_ref_new, var_key, parameter.regrid_tool, parameter.regrid_method, @@ -97,7 +100,7 @@ def subset_and_align_datasets( ds_diff = ds_test_regrid.copy() ds_diff[var_key] = ds_test_regrid[var_key] - ds_ref_regrid[var_key] - return ds_test, ds_test_regrid, ds_ref, ds_ref_regrid, ds_diff + return ds_test_new, ds_test_regrid, ds_ref_new, ds_ref_regrid, ds_diff def has_z_axis(data_var: xr.DataArray) -> bool: @@ -264,6 +267,12 @@ def _apply_land_sea_mask( def _subset_on_region(ds: xr.Dataset, var_key: str, region: str) -> xr.Dataset: """Subset a variable in the dataset based on the region. + This function makes sure that the axes/axes being subsetted on is in + ascending order. For example, if the latitude axis is in descending order, + [90, 0, -90], no matches will be made on the subset if the region has a lat + slice spec of (-90, -55) (e.g., 'polar_S'). This is because Xarray subsets + in ascending order. Sorting the axis beforehand will avoid this issue. + Parameters ---------- ds : xr.Dataset @@ -288,10 +297,12 @@ def _subset_on_region(ds: xr.Dataset, var_key: str, region: str) -> xr.Dataset: if lat is not None: lat_dim = xc.get_dim_keys(ds[var_key], axis="Y") + ds = ds.sortby(lat_dim) ds = ds.sel({f"{lat_dim}": slice(*lat)}) if lon is not None: lon_dim = xc.get_dim_keys(ds[var_key], axis="X") + ds = ds.sortby(lon_dim) ds = ds.sel({f"{lon_dim}": slice(*lon)}) return ds @@ -378,28 +389,28 @@ def align_grids_to_lower_res( if tool == "esmf": tool = "xesmf" - ds_a = _drop_unused_ilev_axis(ds_a) - ds_b = _drop_unused_ilev_axis(ds_b) + ds_a_new = _drop_unused_ilev_axis(ds_a) + ds_b_new = _drop_unused_ilev_axis(ds_b) - lat_a = xc.get_dim_coords(ds_a[var_key], axis="Y") - lat_b = xc.get_dim_coords(ds_b[var_key], axis="Y") + lat_a = xc.get_dim_coords(ds_a_new[var_key], axis="Y") + lat_b = xc.get_dim_coords(ds_b_new[var_key], axis="Y") is_a_lower_res = len(lat_a) <= len(lat_b) if is_a_lower_res: - output_grid = ds_a.regridder.grid - ds_b_regrid = ds_b.regridder.horizontal( + output_grid = ds_a_new.regridder.grid + ds_b_regrid = ds_b_new.regridder.horizontal( var_key, output_grid, tool=tool, method=method ) - return ds_a, ds_b_regrid + return ds_a_new, ds_b_regrid - output_grid = ds_b.regridder.grid - ds_a_regrid = ds_a.regridder.horizontal( + output_grid = ds_b_new.regridder.grid + ds_a_regrid = ds_a_new.regridder.horizontal( var_key, output_grid, tool=tool, method=method ) - return ds_a_regrid, ds_b + return ds_a_regrid, ds_b_new def _drop_unused_ilev_axis(ds: xr.Dataset) -> xr.Dataset: diff --git a/e3sm_diags/plot/cartopy/polar_plot.py b/e3sm_diags/plot/cartopy/polar_plot.py deleted file mode 100644 index 7ec12ad80..000000000 --- a/e3sm_diags/plot/cartopy/polar_plot.py +++ /dev/null @@ -1,278 +0,0 @@ -from __future__ import print_function - -import os - -import cartopy.crs as ccrs -import matplotlib -import matplotlib.pyplot as plt -import numpy as np -import numpy.ma as ma - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import get_colormap - -matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 -import matplotlib.path as mpath # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.0} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.27, 0.65, 0.3235, 0.25), - (0.27, 0.35, 0.3235, 0.25), - (0.27, 0.05, 0.3235, 0.25), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.02, -0.01, 0.14, 0.04) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def plot_panel(n, fig, proj, pole, var, clevels, cmap, title, parameters, stats=None): - var = add_cyclic(var) - lon = var.getLongitude() - lat = var.getLatitude() - var = ma.squeeze(var.asma()) - - # Contour levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - # Contour plot - ax = fig.add_axes(panel[n], projection=proj) - ax.set_global() - - ax.gridlines() - if pole == "N": - ax.set_extent([-180, 180, 50, 90], crs=ccrs.PlateCarree()) - elif pole == "S": - ax.set_extent([-180, 180, -55, -90], crs=ccrs.PlateCarree()) - - cmap = get_colormap(cmap, parameters) - - theta = np.linspace(0, 2 * np.pi, 100) - center, radius = [0.5, 0.5], 0.5 - verts = np.vstack([np.sin(theta), np.cos(theta)]).T - circle = mpath.Path(verts * radius + center) - ax.set_boundary(circle, transform=ax.transAxes) - - p1 = ax.contourf( - lon, - lat, - var, - transform=ccrs.PlateCarree(), - norm=norm, - levels=levels, - cmap=cmap, - extend="both", - ) - ax.set_aspect("auto") - ax.coastlines(lw=0.3) - - # Plot titles - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - - # Color bar - cbax = fig.add_axes((panel[n][0] + 0.35, panel[n][1] + 0.0354, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax) - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - else: - fmt = "%6.1f" - pad = 30 - cbar.set_ticks(levels[1:-1]) - labels = [fmt % level for level in levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Min, Mean, Max - fig.text( - panel[n][0] + 0.35, - panel[n][1] + 0.225, - "Max\nMean\nMin", - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.45, - panel[n][1] + 0.225, - "%.2f\n%.2f\n%.2f" % stats[0:3], - ha="right", - fontdict=plotSideTitle, - ) - - # RMSE, CORR - if len(stats) == 5: - fig.text( - panel[n][0] + 0.35, - panel[n][1] + 0.0, - "RMSE\nCORR", - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.45, - panel[n][1] + 0.0, - "%.2f\n%.2f" % stats[3:5], - ha="right", - fontdict=plotSideTitle, - ) - - -def plot(reference, test, diff, metrics_dict, parameter): - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - - # Create projection - if parameter.var_region.find("N") != -1: - pole = "N" - proj = ccrs.NorthPolarStereo(central_longitude=0) - elif parameter.var_region.find("S") != -1: - pole = "S" - proj = ccrs.SouthPolarStereo(central_longitude=0) - - # First two panels - min1 = metrics_dict["test"]["min"] - mean1 = metrics_dict["test"]["mean"] - max1 = metrics_dict["test"]["max"] - if test.count() > 1: - plot_panel( - 0, - fig, - proj, - pole, - test, - parameter.contour_levels, - parameter.test_colormap, - [parameter.test_name_yrs, parameter.test_title, test.units], - parameter, - stats=(max1, mean1, min1), - ) - - min2 = metrics_dict["ref"]["min"] - mean2 = metrics_dict["ref"]["mean"] - max2 = metrics_dict["ref"]["max"] - - if reference.count() > 1: - plot_panel( - 1, - fig, - proj, - pole, - reference, - parameter.contour_levels, - parameter.reference_colormap, - [ - parameter.ref_name_yrs, - parameter.reference_title, - reference.units, - ], - parameter, - stats=(max2, mean2, min2), - ) - - # Third panel - min3 = metrics_dict["diff"]["min"] - mean3 = metrics_dict["diff"]["mean"] - max3 = metrics_dict["diff"]["max"] - r = metrics_dict["misc"]["rmse"] - c = metrics_dict["misc"]["corr"] - - if diff.count() > 1: - plot_panel( - 2, - fig, - proj, - pole, - diff, - parameter.diff_levels, - parameter.diff_colormap, - [None, parameter.diff_title, test.units], - parameter, - stats=(max3, mean3, min3, r, c), - ) - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.97, fontsize=18) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/cosp_histogram_plot.py b/e3sm_diags/plot/cosp_histogram_plot.py index 20bbc0755..c495aef15 100644 --- a/e3sm_diags/plot/cosp_histogram_plot.py +++ b/e3sm_diags/plot/cosp_histogram_plot.py @@ -1,14 +1,13 @@ -import os from typing import List, Tuple, Union import matplotlib import numpy as np import xarray as xr -from e3sm_diags.driver.utils.general import get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.core_parameter import CoreParameter from e3sm_diags.plot import get_colormap +from e3sm_diags.plot.utils import _save_plot matplotlib.use("Agg") import matplotlib.colors as colors # isort:skip # noqa: E402 @@ -16,11 +15,12 @@ logger = custom_logger(__name__) -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} +MAIN_TITLE_FONT = 11.5 +SECONDARY_TITLE_FONT = 9.5 + # Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ +PANEL_CFG = [ (0.1691, 0.6810, 0.6465, 0.2150), (0.1691, 0.3961, 0.6465, 0.2150), (0.1691, 0.1112, 0.6465, 0.2150), @@ -28,7 +28,7 @@ # Border padding relative to subplot axes for saving individual panels # (left, bottom, right, top) in page coordinates -border = (-0.10, -0.05, 0.13, 0.033) +BORDER_PADDING = (-0.10, -0.05, 0.13, 0.033) def plot( @@ -39,7 +39,7 @@ def plot( ): fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - _plot_panel( + _add_colormap( 0, da_test, fig, @@ -48,7 +48,7 @@ def plot( "rainbow", title=(parameter.test_name_yrs, parameter.test_title, da_test.units), ) - _plot_panel( + _add_colormap( 1, da_ref, fig, @@ -57,7 +57,7 @@ def plot( "rainbow", title=(parameter.ref_name_yrs, parameter.reference_title, da_test.units), ) - _plot_panel( + _add_colormap( 2, da_diff, fig, @@ -70,53 +70,12 @@ def plot( # Figure title fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 + _save_plot(fig, parameter, PANEL_CFG, BORDER_PADDING) plt.close() -def _plot_panel( +def _add_colormap( subplot_num: int, var: xr.DataArray, fig: plt.Figure, @@ -133,7 +92,7 @@ def _plot_panel( norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) # Contour plot - ax = fig.add_axes(panel[subplot_num]) + ax = fig.add_axes(PANEL_CFG[subplot_num]) color_map = get_colormap(color_map, parameter) p1 = plt.pcolormesh(var, cmap=color_map, norm=norm) @@ -223,15 +182,20 @@ def _plot_panel( ax.set_xlabel("Cloud Optical Thickness") if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) + ax.set_title(title[0], loc="left", fontdict={"fontsize": SECONDARY_TITLE_FONT}) if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) + ax.set_title(title[1], fontdict={"fontsize": MAIN_TITLE_FONT}) - ax.set_title("%", loc="right", fontdict=plotSideTitle) + ax.set_title("%", loc="right", fontdict={"fontsize": SECONDARY_TITLE_FONT}) # Color bar cbax = fig.add_axes( - (panel[subplot_num][0] + 0.6635, panel[subplot_num][1] + 0.0215, 0.0326, 0.1792) + ( + PANEL_CFG[subplot_num][0] + 0.6635, + PANEL_CFG[subplot_num][1] + 0.0215, + 0.0326, + 0.1792, + ) ) cbar = fig.colorbar(p1, cax=cbax, extend="both") diff --git a/e3sm_diags/plot/polar_plot.py b/e3sm_diags/plot/polar_plot.py new file mode 100644 index 000000000..68a29ef51 --- /dev/null +++ b/e3sm_diags/plot/polar_plot.py @@ -0,0 +1,244 @@ +from typing import List, Literal, Tuple, Union + +import cartopy.crs as ccrs +import matplotlib +import matplotlib.pyplot as plt +import numpy as np +import xarray as xr +import xcdat as xc + +from e3sm_diags.driver.utils.type_annotations import MetricsDict +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.utils import ( + _add_colorbar, + _add_contour_plot, + _add_min_mean_max_text, + _add_rmse_corr_text, + _configure_titles, + _get_c_levels_and_norm, + _make_lon_cyclic, + _save_plot, +) + +matplotlib.use("Agg") +import matplotlib.path as mpath # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +PLOT_SECONDARY_TITLE = 9.0 + +# Position and sizes of subplot axes in page coordinates (0 to 1) +PANEL_CFG = [ + (0.27, 0.65, 0.3235, 0.25), + (0.27, 0.35, 0.3235, 0.25), + (0.27, 0.05, 0.3235, 0.25), +] + +# Border padding relative to subplot axes for saving individual panels +# (left, bottom, right, top) in page coordinates +BORDER_PADDING = (-0.02, -0.01, 0.14, 0.04) + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, + metrics_dict: MetricsDict, +): + """Plot the variable's metrics generated for the lat_lon set. + + Parameters + ---------- + parameter : CoreParameter + The CoreParameter object containing plot configurations. + da_test : xr.DataArray + The test data. + da_ref : xr.DataArray + The reference data. + da_diff : xr.DataArray + The difference between `da_test` and `da_ref` (both are gridded to + the lower resolution of the two beforehand). + metrics_dict : Metrics + The metrics. + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + + units = metrics_dict["units"] + + min1 = metrics_dict["test"]["min"] # type: ignore + mean1 = metrics_dict["test"]["mean"] # type: ignore + max1 = metrics_dict["test"]["max"] # type: ignore + + _add_colormap( + 0, + da_test, + fig, + parameter, + parameter.test_colormap, + parameter.contour_levels, + title=(parameter.test_name_yrs, parameter.test_title, units), # type: ignore + metrics=(max1, mean1, min1), # type: ignore + ) + + min2 = metrics_dict["ref"]["min"] # type: ignore + mean2 = metrics_dict["ref"]["mean"] # type: ignore + max2 = metrics_dict["ref"]["max"] # type: ignore + + _add_colormap( + 1, + da_ref, + fig, + parameter, + parameter.reference_colormap, + parameter.contour_levels, + title=(parameter.ref_name_yrs, parameter.reference_title, units), # type: ignore + metrics=(max2, mean2, min2), # type: ignore + ) + + min3 = metrics_dict["diff"]["min"] # type: ignore + mean3 = metrics_dict["diff"]["mean"] # type: ignore + max3 = metrics_dict["diff"]["max"] # type: ignore + r = metrics_dict["misc"]["rmse"] # type: ignore + c = metrics_dict["misc"]["corr"] # type: ignore + + _add_colormap( + 2, + da_diff, + fig, + parameter, + parameter.diff_colormap, + parameter.diff_levels, + title=(None, parameter.diff_title, units), # type: ignore + metrics=(max3, mean3, min3, r, c), # type: ignore + ) + + # Figure title + fig.suptitle(parameter.main_title, x=0.5, y=0.97, fontsize=18) + + _save_plot(fig, parameter, PANEL_CFG, BORDER_PADDING) + + plt.close() + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: CoreParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[Union[str, None], str, str], + metrics: Tuple[float, ...], +): + """Adds a colormap containing the variable data and metrics to the figure. + + Parameters + ---------- + subplot_num : int + The subplot number. + var : xr.DataArray + The variable to plot. + fig : plt.Figure + The figure object to add the subplot to. + parameter : CoreParameter + The CoreParameter object containing plot configurations. + color_map : str + The colormap stylin˘g to use (e.g., "cet_rainbow.rgb"). + contour_levels : List[float] + The map contour levels. + title : Tuple[Union[str, None], str, str] + A tuple of strings to form the title of the colormap, in the format + ( years, title, units). + metrics : Tuple[float, ...] + A tuple of metrics for this subplot. + """ + var = _make_lon_cyclic(var) + lat = xc.get_dim_coords(var, axis="Y") + lon = xc.get_dim_coords(var, axis="X") + + var = var.squeeze() + + pole, proj = _get_pole_and_projection(parameter) + + # Configure contour levels and boundary norm. + # -------------------------------------------------------------------------- + c_levels, norm = _get_c_levels_and_norm(contour_levels) + + # Configure the figure Axes object using the projection above. + # -------------------------------------------------------------------------- + ax = fig.add_axes(PANEL_CFG[subplot_num], projection=proj) + ax.set_global() + + ax.gridlines() + if pole == "N": + ax.set_extent([-180, 180, 50, 90], crs=ccrs.PlateCarree()) + elif pole == "S": + ax.set_extent([-180, 180, -55, -90], crs=ccrs.PlateCarree()) + + theta = np.linspace(0, 2 * np.pi, 100) + center, radius = [0.5, 0.5], 0.5 + verts = np.vstack([np.sin(theta), np.cos(theta)]).T + circle = mpath.Path(verts * radius + center) + ax.set_boundary(circle, transform=ax.transAxes) + + # Configure contour plot. + # -------------------------------------------------------------------------- + contour_plot = _add_contour_plot( + ax, parameter, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels + ) + + ax.set_aspect("auto") + ax.coastlines(lw=0.3) + + # Configure the titles, and colorbar. + # -------------------------------------------------------------------------- + _configure_titles(ax, title, secondary_fontsize=PLOT_SECONDARY_TITLE) + _add_colorbar( + fig, + subplot_num, + PANEL_CFG, + contour_plot, + c_levels, + rect=(0.35, 0.0354, 0.0326, 0.1792), + ) + + _add_min_mean_max_text( + fig, + subplot_num, + PANEL_CFG, + metrics, + left_text_pos=(0.35, 0.225), + right_text_pos=(0.45, 0.225), + ) + + if len(metrics) == 5: + _add_rmse_corr_text( + fig, + subplot_num, + PANEL_CFG, + metrics, + left_text_pos=(0.35, 0.0), + right_text_pos=(0.45, 0.0), + ) + + +def _get_pole_and_projection( + parameter: CoreParameter, +) -> Tuple[Literal["N", "S"], Union[ccrs.NorthPolarStereo, ccrs.SouthPolarStereo]]: + var_region = parameter.var_region + + if var_region.find("N") != -1: + pole = "N" + proj = ccrs.NorthPolarStereo(central_longitude=0) + elif var_region.find("S") != -1: + pole = "S" + proj = ccrs.SouthPolarStereo(central_longitude=0) + else: + raise RuntimeError( + f"The variable region ('{var_region}') does not contain 'N' or 'S' for " + "polar set plotting." + ) + + return pole, proj # type: ignore diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index 4c224e66b..340e7bc27 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -40,6 +40,9 @@ BorderPadding = Tuple[float, float, float, float] DEFAULT_BORDER_PADDING: BorderPadding = (-0.06, -0.03, 0.13, 0.03) +# The type annotation for the rect arg used for creating the color bar axis. +Rect = Tuple[float, float, float, float] + # Sets that use the lat_lon formatter to configure the X and Y axes of the plot. SETS_USING_LAT_LON_FORMATTER = [ "lat_lon", @@ -432,6 +435,7 @@ def _add_colorbar( panel_configs: PanelConfig, contour_plot: mcontour.QuadContourSet, c_levels: List[float] | None, + rect: Rect | None = None, ): """Configure the colorbar on a colormap. @@ -448,16 +452,13 @@ def _add_colorbar( The contour plot object. c_levels : List[float] | None The optional contour levels used to configure the colorbar. + rect : Rect + An optional adjustment to the dimensions (left, bottom, width, height) + of the new `~.axes.Axes`. All quantities are in fractions of figure + width and height. """ - cbax = fig.add_axes( - ( - panel_configs[subplot_num][0] + 0.6635, - panel_configs[subplot_num][1] + 0.0215, - 0.0326, - 0.1792, - ) - ) - + cbax_rect = _get_rect(subplot_num, panel_configs, rect) + cbax = fig.add_axes(cbax_rect) cbar = fig.colorbar(contour_plot, cax=cbax) if c_levels is None: @@ -471,6 +472,41 @@ def _add_colorbar( cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) +def _get_rect( + subplot_num: int, + panel_configs: PanelConfig, + rect: Rect | None, +) -> Rect: + """Get the rect arg for the color bar axis. + + Parameters + ---------- + subplot_num : int + The subplot number. + panel_configs : PanelConfig + A list of panel configs consisting of positions and sizes, with each + element representing a panel. + rect : Rect + An optional adjustment to the dimensions (left, bottom, width, height) + of the new `~.axes.Axes`. All quantities are in fractions of figure + width and height. + + Returns + ------- + Rect + The rect arg for the color bar axis. + """ + if rect is None: + rect = (0.6635, 0.0215, 0.0326, 0.1792) + + return ( + panel_configs[subplot_num][0] + rect[0], + panel_configs[subplot_num][1] + rect[1], + rect[2], + rect[3], + ) + + def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: """Get the label format and padding for each contour level. @@ -515,6 +551,8 @@ def _add_min_mean_max_text( metrics: Tuple[float, ...], set_name: str | None = None, fontsize: float = SECONDARY_TITLE_FONTSIZE, + left_text_pos: Tuple[float, float] | None = None, + right_text_pos: Tuple[float, float] | None = None, ): """Add min, mean, and max text to the figure. @@ -534,12 +572,22 @@ def _add_min_mean_max_text( The optional set name used to determine float format, by default None. fontsize : float The text font size, by default 9.5. + left_text_pos: Tuple[float, float] | None + An optional adjustment to the x, y position of the left text. + right_text_post: Tuple[float, float] | None + An optional adjustment to the x, y position of the right text. """ fontdict = {"fontsize": fontsize} + if left_text_pos is None: + left_text_pos = (0.6335, 0.2107) + + if right_text_pos is None: + right_text_pos = (0.7635, 0.2107) + fig.text( - panel_configs[subplot_num][0] + 0.6635, - panel_configs[subplot_num][1] + 0.2107, + panel_configs[subplot_num][0] + left_text_pos[0], + panel_configs[subplot_num][1] + left_text_pos[1], "Max\nMean\nMin", ha="left", fontdict=fontdict, @@ -548,8 +596,8 @@ def _add_min_mean_max_text( fmt_metrics = _get_float_format(metrics, set_name) fig.text( - panel_configs[subplot_num][0] + 0.7635, - panel_configs[subplot_num][1] + 0.2107, + panel_configs[subplot_num][0] + right_text_pos[0], + panel_configs[subplot_num][1] + right_text_pos[1], fmt_metrics % metrics[0:3], ha="right", fontdict=fontdict, @@ -599,6 +647,8 @@ def _add_rmse_corr_text( panel_configs: PanelConfig, metrics: Tuple[float, ...], fontsize: float = SECONDARY_TITLE_FONTSIZE, + left_text_pos: Tuple[float, float] | None = None, + right_text_pos: Tuple[float, float] | None = None, ): """Add RMSE and CORR metrics text to the figure. @@ -615,19 +665,29 @@ def _add_rmse_corr_text( The tuple of metrics, with the last two elements being RMSE and CORR. fontsize : float The text font size, by default 9.5. + left_text_pos: Tuple[float, float] | None + An optional adjustment to the x, y position of the left text. + right_text_pos: Tuple[float, float] | None + An optional adjustment to the x, y position of the right text. """ fontdict = {"fontsize": fontsize} + if left_text_pos is None: + left_text_pos = (0.6335, -0.0105) + + if right_text_pos is None: + right_text_pos = (0.7635, -0.0105) + fig.text( - panel_configs[subplot_num][0] + 0.6635, - panel_configs[subplot_num][1] - 0.0105, + panel_configs[subplot_num][0] + left_text_pos[0], + panel_configs[subplot_num][1] + left_text_pos[1], "RMSE\nCORR", ha="left", fontdict=fontdict, ) fig.text( - panel_configs[subplot_num][0] + 0.7635, - panel_configs[subplot_num][1] - 0.0105, + panel_configs[subplot_num][0] + right_text_pos[0], + panel_configs[subplot_num][1] + right_text_pos[1], "%.2f\n%.2f" % metrics[3:5], ha="right", fontdict=fontdict, diff --git a/e3sm_diags/plot/zonal_mean_2d_plot.py b/e3sm_diags/plot/zonal_mean_2d_plot.py index a72bf5dce..13c3ffea8 100644 --- a/e3sm_diags/plot/zonal_mean_2d_plot.py +++ b/e3sm_diags/plot/zonal_mean_2d_plot.py @@ -107,7 +107,7 @@ def plot( parameter, parameter.diff_colormap, parameter.diff_levels, - title=(None, parameter.diff_title, da_diff.attrs["units"]), # + title=(None, parameter.diff_title, da_diff.attrs["units"]), metrics=(max3, mean3, min3, r, c), # type: ignore ) From e212595e1650a9bb6d1ca93504f7c089ba4379a7 Mon Sep 17 00:00:00 2001 From: tomvothecoder Date: Tue, 19 Mar 2024 12:32:05 -0700 Subject: [PATCH 13/41] Align order of calls to `_set_param_output_attrs` --- e3sm_diags/driver/cosp_histogram_driver.py | 7 +++---- e3sm_diags/driver/lat_lon_driver.py | 3 +-- e3sm_diags/driver/polar_driver.py | 3 +-- e3sm_diags/driver/zonal_mean_2d_driver.py | 6 +++--- e3sm_diags/driver/zonal_mean_xy_driver.py | 6 ++---- 5 files changed, 10 insertions(+), 15 deletions(-) diff --git a/e3sm_diags/driver/cosp_histogram_driver.py b/e3sm_diags/driver/cosp_histogram_driver.py index c31976301..effd4c14f 100755 --- a/e3sm_diags/driver/cosp_histogram_driver.py +++ b/e3sm_diags/driver/cosp_histogram_driver.py @@ -61,10 +61,6 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: ds_test_region = _subset_on_region(ds_test, var_key, region) ds_ref_region = _subset_on_region(ds_ref, var_key, region) - parameter._set_param_output_attrs( - var_key, season, region, ref_name, ilev=None - ) - # Make a copy of the regional datasets to overwrite the existing # variable with its spatial average. ds_test_avg = ds_test.copy() @@ -83,6 +79,9 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: ) ds_diff_avg = _get_diff_of_avg(var_key, ds_test_avg, ds_ref_avg) + parameter._set_param_output_attrs( + var_key, season, region, ref_name, ilev=None + ) _save_data_metrics_and_plots( parameter, plot_func, diff --git a/e3sm_diags/driver/lat_lon_driver.py b/e3sm_diags/driver/lat_lon_driver.py index 9d3e23618..05715e2c8 100755 --- a/e3sm_diags/driver/lat_lon_driver.py +++ b/e3sm_diags/driver/lat_lon_driver.py @@ -145,8 +145,6 @@ def _run_diags_2d( The reference name. """ for region in regions: - parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) - ( ds_test_region, ds_test_region_regrid, @@ -171,6 +169,7 @@ def _run_diags_2d( ds_diff_region, ) + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) _save_data_metrics_and_plots( parameter, plot_func, diff --git a/e3sm_diags/driver/polar_driver.py b/e3sm_diags/driver/polar_driver.py index 837ff1c5f..c35fc03c4 100755 --- a/e3sm_diags/driver/polar_driver.py +++ b/e3sm_diags/driver/polar_driver.py @@ -119,8 +119,6 @@ def _run_diags_2d( The reference name. """ for region in regions: - parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) - ( ds_test_region, ds_test_region_regrid, @@ -145,6 +143,7 @@ def _run_diags_2d( ds_diff_region, ) + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) _save_data_metrics_and_plots( parameter, plot_func, diff --git a/e3sm_diags/driver/zonal_mean_2d_driver.py b/e3sm_diags/driver/zonal_mean_2d_driver.py index c256877e9..d45cb2e7b 100755 --- a/e3sm_diags/driver/zonal_mean_2d_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_driver.py @@ -117,9 +117,9 @@ def _run_diags_3d( ) # Set parameter attributes for output files. - parameter.var_region = "global" - parameter.output_file = "-".join([ref_name, var_key, season, parameter.regions[0]]) - parameter.main_title = str(" ".join([var_key, season])) + parameter._set_param_output_attrs( + var_key, season, parameter.regions[0], ref_name, ilev=None + ) _save_data_metrics_and_plots( parameter, diff --git a/e3sm_diags/driver/zonal_mean_xy_driver.py b/e3sm_diags/driver/zonal_mean_xy_driver.py index 0ed41fd60..df7b93845 100755 --- a/e3sm_diags/driver/zonal_mean_xy_driver.py +++ b/e3sm_diags/driver/zonal_mean_xy_driver.py @@ -146,11 +146,10 @@ def _run_diags_2d( for region in regions: logger.info(f"Selected region: {region}") - parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) - da_test_1d, da_ref_1d = _calc_zonal_mean(ds_test, ds_ref, var_key) da_diff_1d = _get_diff_of_zonal_means(da_test_1d, da_ref_1d) + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) _save_data_metrics_and_plots( parameter, plot_func, @@ -208,11 +207,10 @@ def _run_diags_3d( for region in regions: logger.info(f"Selected region: {region}") - parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) - da_test_1d, da_ref_1d = _calc_zonal_mean(ds_test_ilev, ds_ref_ilev, var_key) da_diff_1d = _get_diff_of_zonal_means(da_test_1d, da_ref_1d) + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) _save_data_metrics_and_plots( parameter, plot_func, From 908089e56d5048ace52d2dab0291913ab8f5275c Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 25 Mar 2024 08:59:50 -0700 Subject: [PATCH 14/41] CDAT Migration: Refactor `meridional_mean_2d` set (#795) --- .../657_meridional_mean_2d.cfg | 87 +++ ..._mean_2d_cdat_regression_test_netcdf.ipynb | 584 ++++++++++++++++++ .../657_meridional_mean_2d_run_script.py | 11 + .../driver/meridional_mean_2d_driver.py | 381 ++++++------ e3sm_diags/driver/utils/regrid.py | 10 +- e3sm_diags/driver/zonal_mean_2d_driver.py | 1 - .../plot/cartopy/meridional_mean_2d_plot.py | 271 -------- e3sm_diags/plot/meridional_mean_2d_plot.py | 156 +++++ e3sm_diags/plot/utils.py | 2 +- 9 files changed, 1055 insertions(+), 448 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_cdat_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_run_script.py mode change 100755 => 100644 e3sm_diags/driver/meridional_mean_2d_driver.py delete mode 100644 e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py create mode 100644 e3sm_diags/plot/meridional_mean_2d_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d.cfg b/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d.cfg new file mode 100644 index 000000000..5c49d6a73 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d.cfg @@ -0,0 +1,87 @@ +[#] +sets = ["meridional_mean_2d"] +case_id = "MERRA2" +variables = ["T"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +contour_levels = [180,185,190,200,210,220,230,240,250,260,270,280,290,295,300] +diff_levels = [-7,-6,-5,-4,-3,-2,-1,1,2,3,4,5,6,7] + +[#] +sets = ["meridional_mean_2d"] +case_id = "MERRA2" +variables = ["U"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +test_colormap = "PiYG_r" +reference_colormap = "PiYG_r" +contour_levels = [-20, -15, -10, -8, -5, -3, -1, 1, 3, 5, 8, 10, 15, 20] +diff_levels = [ -5, -4, -3, -2, -1,-0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + +# [#] +# sets = ["meridional_mean_2d"] +# case_id = "MERRA2" +# variables = ["RELHUM"] +# ref_name = "MERRA2" +# reference_name = "MERRA2 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [5,10,15,20,25,30,40,50,60,70,75,80,85,90,95] +# diff_levels = [-15,-12,-9,-6,-3,-1,1,3,6,9,12,15] + +# [#] +# sets = ["meridional_mean_2d"] +# case_id = "MERRA2" +# variables = ["OMEGA"] +# ref_name = "MERRA2" +# reference_name = "MERRA2" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-35,-30,-25,-20,-15,-10,-5,5,10,15,20,25,30,35] +# diff_levels = [-20,-15,-10,-8,-6,-4,-2,2,4,6,8,10,15,20] + +# [#] +# sets = ["meridional_mean_2d"] +# case_id = "ERA5" +# variables = ["T"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [180,185,190,200,210,220,230,240,250,260,270,280,290,295,300] +# diff_levels = [-7,-6,-5,-4,-3,-2,-1,1,2,3,4,5,6,7] + +# [#] +# sets = ["meridional_mean_2d"] +# case_id = "ERA5" +# variables = ["U"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-20, -15, -10, -8, -5, -3, -1, 1, 3, 5, 8, 10, 15, 20] +# diff_levels = [ -5, -4, -3, -2, -1,-0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + +# [#] +# sets = ["meridional_mean_2d"] +# case_id = "ERA5" +# variables = ["OMEGA"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# test_colormap = "PiYG_r" +# reference_colormap = "PiYG_r" +# contour_levels = [-35,-30,-25,-20,-15,-10,-5,5,10,15,20,25,30,35] +# diff_levels = [-20,-15,-10,-8,-6,-4,-2,2,4,6,8,10,15,20] + +# [#] +# sets = ["meridional_mean_2d"] +# case_id = "ERA5" +# variables = ["RELHUM"] +# ref_name = "ERA5" +# reference_name = "ERA5 Reanalysis" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +# contour_levels = [5,10,15,20,25,30,40,50,60,70,75,80,85,90,95] +# diff_levels = [-15,-12,-9,-6,-3,-1,1,3,6,9,12,15] diff --git a/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..3e1f841a2 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,584 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"meridional_mean_2d\"\n", + "SET_DIR = \"657-meridional-mean-2d\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (48 and 48).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 6 / 24480 (0.0245%)\n", + "Max absolute difference: 4.56288177e-07\n", + "Max relative difference: 5.34042702e-05\n", + " x: array([[ 0.784679, 0.796702, 0.792179, ..., 0.804814, 0.773629,\n", + " 0.774743],\n", + " [ 1.379984, 1.417249, 1.4173 , ..., 1.432473, 1.391159,...\n", + " y: array([[ 0.784679, 0.796702, 0.792179, ..., 0.804814, 0.773629,\n", + " 0.774743],\n", + " [ 1.379984, 1.417249, 1.4173 , ..., 1.432473, 1.391159,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 3 / 24480 (0.0123%)\n", + "Max absolute difference: 5.97006945e-07\n", + "Max relative difference: 1.49039703e-05\n", + " x: array([[1.08258 , 1.069207, 1.07484 , ..., 1.090696, 1.087342, 1.09467 ],\n", + " [1.563664, 1.593989, 1.628474, ..., 1.553196, 1.556833, 1.570584],\n", + " [2.220292, 2.307285, 2.364905, ..., 2.215879, 2.220069, 2.228939],...\n", + " y: array([[1.08258 , 1.069207, 1.07484 , ..., 1.090696, 1.087342, 1.09467 ],\n", + " [1.563664, 1.593989, 1.628474, ..., 1.553196, 1.556833, 1.570584],\n", + " [2.220292, 2.307285, 2.364905, ..., 2.215879, 2.220069, 2.228939],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 2 / 6120 (0.0327%)\n", + "Max absolute difference: 3.39774408e-07\n", + "Max relative difference: 0.00015039\n", + " x: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + " y: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 24480 (0.00408%)\n", + "Max absolute difference: 8.52794937e-08\n", + "Max relative difference: 1.73621834e-05\n", + " x: array([[10.269112, 10.260021, 10.25072 , ..., 10.296745, 10.28736 ,\n", + " 10.278145],\n", + " [12.365973, 12.353776, 12.341225, ..., 12.402582, 12.390261,...\n", + " y: array([[10.269112, 10.260021, 10.25072 , ..., 10.296745, 10.28736 ,\n", + " 10.278145],\n", + " [12.365973, 12.353776, 12.341225, ..., 12.402582, 12.390261,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 6120 (0.0163%)\n", + "Max absolute difference: 1.45889873e-07\n", + "Max relative difference: 1.08735566e-05\n", + " x: array([[ 9.712424, 9.692257, 9.675111, ..., 9.79681 , 9.779955,\n", + " 9.765068],\n", + " [12.482069, 12.457917, 12.434379, ..., 12.581674, 12.560391,...\n", + " y: array([[ 9.712424, 9.692257, 9.675112, ..., 9.79681 , 9.779955,\n", + " 9.765068],\n", + " [12.482069, 12.457917, 12.434379, ..., 12.581674, 12.560391,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 24480 (0.00408%)\n", + "Max absolute difference: 8.38617442e-08\n", + "Max relative difference: 1.96239722e-05\n", + " x: array([[ 8.311289, 8.302058, 8.292533, ..., 8.338692, 8.329687,\n", + " 8.320503],\n", + " [10.096993, 10.085039, 10.072245, ..., 10.131809, 10.120227,...\n", + " y: array([[ 8.311289, 8.302058, 8.292533, ..., 8.338692, 8.329687,\n", + " 8.320503],\n", + " [10.096994, 10.085039, 10.072245, ..., 10.131809, 10.120227,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 2 / 9792 (0.0204%)\n", + "Max absolute difference: 3.15701861e-07\n", + "Max relative difference: 2.42041494e-05\n", + " x: array([[0.914233, 0.906507, 0.900358, ..., 0.954717, 0.945675, 0.928962],\n", + " [1.617818, 1.601587, 1.580476, ..., 1.631384, 1.64521 , 1.638424],\n", + " [2.321404, 2.296666, 2.260593, ..., 2.308052, 2.344744, 2.347885],...\n", + " y: array([[0.914233, 0.906507, 0.900358, ..., 0.954717, 0.945675, 0.928962],\n", + " [1.617818, 1.601587, 1.580476, ..., 1.631384, 1.64521 , 1.638424],\n", + " [2.321404, 2.296666, 2.260593, ..., 2.308052, 2.344744, 2.347885],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 2 / 9792 (0.0204%)\n", + "Max absolute difference: 6.93198768e-07\n", + "Max relative difference: 5.40329309e-05\n", + " x: array([[ 1.283442, 1.27651 , 1.25776 , ..., 1.292833, 1.29537 ,\n", + " 1.287421],\n", + " [ 1.93963 , 1.950937, 1.957762, ..., 1.901146, 1.91872 ,...\n", + " y: array([[ 1.283442, 1.27651 , 1.25776 , ..., 1.292833, 1.29537 ,\n", + " 1.287421],\n", + " [ 1.93963 , 1.950937, 1.957762, ..., 1.901146, 1.91872 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 2 / 6120 (0.0327%)\n", + "Max absolute difference: 3.39774408e-07\n", + "Max relative difference: 0.00015039\n", + " x: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + " y: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 9792 (0.0102%)\n", + "Max absolute difference: 1.06174015e-07\n", + "Max relative difference: 1.43005542e-05\n", + " x: array([[10.623722, 10.599673, 10.576724, ..., 10.698371, 10.673217,\n", + " 10.64816 ],\n", + " [12.345496, 12.317517, 12.289864, ..., 12.432171, 12.403032,...\n", + " y: array([[10.623722, 10.599673, 10.576724, ..., 10.698371, 10.673217,\n", + " 10.64816 ],\n", + " [12.345496, 12.317517, 12.289864, ..., 12.432171, 12.403032,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1 / 6120 (0.0163%)\n", + "Max absolute difference: 1.45889873e-07\n", + "Max relative difference: 1.08735566e-05\n", + " x: array([[ 9.712424, 9.692257, 9.675111, ..., 9.79681 , 9.779955,\n", + " 9.765068],\n", + " [12.482069, 12.457917, 12.434379, ..., 12.581674, 12.560391,...\n", + " y: array([[ 9.712424, 9.692257, 9.675112, ..., 9.79681 , 9.779955,\n", + " 9.765068],\n", + " [12.482069, 12.457917, 12.434379, ..., 12.581674, 12.560391,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/657-meridional-mean-2d/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All files are within rtol 1e-05.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_run_script.py b/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_run_script.py new file mode 100644 index 000000000..1b317b983 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d_run_script.py @@ -0,0 +1,11 @@ +# python -m auxiliary_tools.cdat_regression_testing.657-meridional-mean-2d.657_meridional_mean_2d_run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "meridional_mean_2d" +SET_DIR = "657-meridional-mean-2d" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/657-meridional-mean-2d/657_meridional_mean_2d.cfg" +MULTIPROCESSING = True + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/driver/meridional_mean_2d_driver.py b/e3sm_diags/driver/meridional_mean_2d_driver.py old mode 100755 new mode 100644 index a3260b1b3..e4cbec5b8 --- a/e3sm_diags/driver/meridional_mean_2d_driver.py +++ b/e3sm_diags/driver/meridional_mean_2d_driver.py @@ -1,17 +1,23 @@ from __future__ import annotations +from copy import deepcopy from typing import TYPE_CHECKING -import cdms2 -import cdutil -import MV2 -import numpy - -from e3sm_diags.driver import utils +import xarray as xr +import xcdat as xc + +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import ( + align_grids_to_lower_res, + has_z_axis, + regrid_z_axis_to_plevs, +) +from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, max_cdms, mean, min_cdms, rmse -from e3sm_diags.parameter.zonal_mean_2d_parameter import ZonalMean2dParameter -from e3sm_diags.plot import plot +from e3sm_diags.metrics.metrics import correlation, rmse, spatial_avg +from e3sm_diags.parameter.zonal_mean_2d_parameter import DEFAULT_PLEVS +from e3sm_diags.plot.meridional_mean_2d_plot import plot as plot_func logger = custom_logger(__name__) @@ -20,185 +26,216 @@ MeridionalMean2dParameter, ) +DEFAULT_PLEVS = deepcopy(DEFAULT_PLEVS) -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """ - Creates the mean, max, min, rmse, corr in a dictionary. + +def run_diag(parameter: MeridionalMean2dParameter) -> MeridionalMean2dParameter: + """Run the meridional_mean_2d diagnostics. + + Parameters + ---------- + parameter : MeridionalMean2dParameter + The parameter for the diagnostic. + + Returns + ------- + MeridionalMean2dParameter + The parameter for the diagnostic with the result (completed or failed) + + Raises + ------ + RuntimeError + If the dimensions of the test and ref variables differ. + RuntimeError + If the test or ref variables do are not 3-D (no Z-axis). """ - orig_bounds = cdms2.getAutoBounds() - cdms2.setAutoBounds(1) - lev = ref.getLevel() - if lev is not None: - lev.setBounds(None) + variables = parameter.variables + seasons = parameter.seasons + ref_name = getattr(parameter, "ref_name", "") - lev = test.getLevel() - if lev is not None: - lev.setBounds(None) + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") - lev = test_regrid.getLevel() - if lev is not None: - lev.setBounds(None) + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key - lev = ref_regrid.getLevel() - if lev is not None: - lev.setBounds(None) + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) - lev = diff.getLevel() - if lev is not None: - lev.setBounds(None) - cdms2.setAutoBounds(orig_bounds) + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) - metrics_dict = {} - metrics_dict["ref"] = { - "min": min_cdms(ref), - "max": max_cdms(ref), - "mean": mean(ref, axis="xz"), - } - metrics_dict["test"] = { - "min": min_cdms(test), - "max": max_cdms(test), - "mean": mean(test, axis="xz"), - } + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] - metrics_dict["diff"] = { - "min": min_cdms(diff), - "max": max_cdms(diff), - "mean": mean(diff, axis="xz"), - } - metrics_dict["misc"] = { - "rmse": rmse(test_regrid, ref_regrid, axis="xz"), - "corr": corr(test_regrid, ref_regrid, axis="xz"), - } + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) - return metrics_dict + if is_dims_diff: + raise RuntimeError( + "Dimensions of the test and ref variables are different." + ) + elif not is_vars_3d: + raise RuntimeError( + "The test and/or ref variables are not 3-D (no Z axis)." + ) + elif is_vars_3d: + if not parameter._is_plevs_set(): + parameter.plevs = DEFAULT_PLEVS + _run_diags_3d(parameter, ds_test, ds_ref, season, var_key, ref_name) -def run_diag(parameter: MeridionalMean2dParameter) -> MeridionalMean2dParameter: - variables = parameter.variables - seasons = parameter.seasons - ref_name = getattr(parameter, "ref_name", "") + return parameter - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season +def _run_diags_3d( + parameter: MeridionalMean2dParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + season: str, + var_key: str, + ref_name: str, +): + plevs = parameter.plevs + + ds_t_plevs = regrid_z_axis_to_plevs(ds_test, var_key, plevs) + ds_r_plevs = regrid_z_axis_to_plevs(ds_ref, var_key, plevs) + + ds_t_plevs_avg = ds_t_plevs.spatial.average(var_key, axis=["Y"]) + ds_r_plevs_avg = ds_r_plevs.spatial.average(var_key, axis=["Y"]) + + # A placeholder Y axis must be added back to the averaged variables to + # align grids via horizontal regridding. Afterwards, the Y axis is dropped. + ds_t_plevs_avg = _add_placeholder_y_axis(ds_test, ds_t_plevs_avg, var_key) + ds_r_plevs_avg = _add_placeholder_y_axis(ds_ref, ds_r_plevs_avg, var_key) + + ds_t_plevs_rg_avg, ds_r_plevs_rg_avg = align_grids_to_lower_res( + ds_t_plevs_avg, + ds_r_plevs_avg, + var_key, + tool="xesmf", + method="conservative_normed", + axis_to_compare="X", + ) + + # After regridding, squeeze the placeholder Y axis. + ds_t_plevs_avg = ds_t_plevs_avg.squeeze() + ds_r_plevs_avg = ds_r_plevs_avg.squeeze() + ds_t_plevs_rg_avg = ds_t_plevs_rg_avg.squeeze() + ds_r_plevs_rg_avg = ds_r_plevs_rg_avg.squeeze() + + # Get the difference between final regridded variables. + with xr.set_options(keep_attrs=True): + ds_diff_plevs_rg_avg = ds_t_plevs_rg_avg.copy() + ds_diff_plevs_rg_avg[var_key] = ( + ds_t_plevs_rg_avg[var_key] - ds_r_plevs_rg_avg[var_key] ) - for var in variables: - logger.info("Variable: {}".format(var)) - parameter.var_id = var - - mv1 = test_data.get_climo_variable(var, season) - mv2 = ref_data.get_climo_variable(var, season) - - parameter.viewer_descr[var] = ( - mv1.long_name - if hasattr(mv1, "long_name") - else "No long_name attr in test data." - ) - - # For variables with a z-axis. - if mv1.getLevel() and mv2.getLevel(): - # Since the default is now stored in MeridionalMean2dParameter, - # we must get it from there if the plevs param is blank. - plevs = parameter.plevs - if (isinstance(plevs, numpy.ndarray) and not plevs.all()) or ( - not isinstance(plevs, numpy.ndarray) and not plevs - ): - plevs = ZonalMean2dParameter().plevs - - mv1_p = utils.general.convert_to_pressure_levels( - mv1, plevs, test_data, var, season - ) - mv2_p = utils.general.convert_to_pressure_levels( - mv2, plevs, ref_data, var, season - ) + metrics_dict = _create_metrics_dict( + var_key, + ds_t_plevs_avg, + ds_t_plevs_rg_avg, + ds_r_plevs_avg, + ds_r_plevs_rg_avg, + ds_diff_plevs_rg_avg, + ) - mv1_p = cdutil.averager(mv1_p, axis="y") - mv2_p = cdutil.averager(mv2_p, axis="y") + parameter._set_param_output_attrs( + var_key, season, parameter.regions[0], ref_name, ilev=None + ) + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_t_plevs_avg, + ds_r_plevs_avg, + ds_diff_plevs_rg_avg, + metrics_dict, + ) - parameter.output_file = "-".join( - [ref_name, var, season, parameter.regions[0]] - ) - parameter.main_title = str(" ".join([var, season])) - - # Regrid towards the lower resolution of the two - # variables for calculating the difference. - if len(mv1_p.getLongitude()) < len(mv2_p.getLongitude()): - mv1_reg = mv1_p - lev_out = mv1_p.getLevel() - lon_out = mv1_p.getLongitude() - # in order to use regrid tool we need to have at least two latitude bands, so generate new grid first - lat = cdms2.createAxis([0]) - lat.setBounds(numpy.array([-1, 1])) - lat.designateLatitude() - grid = cdms2.createRectGrid(lat, lon_out) - - data_shape = list(mv2_p.shape) - data_shape.append(1) - mv2_reg = MV2.resize(mv2_p, data_shape) - mv2_reg.setAxis(-1, lat) - for i, ax in enumerate(mv2_p.getAxisList()): - mv2_reg.setAxis(i, ax) - - mv2_reg = mv2_reg.regrid(grid, regridTool="regrid2")[..., 0] - # Apply the mask back, since crossSectionRegrid - # doesn't preserve the mask. - mv2_reg = MV2.masked_where(mv2_reg == mv2_reg.fill_value, mv2_reg) - elif len(mv1_p.getLongitude()) > len(mv2_p.getLongitude()): - mv2_reg = mv2_p - lev_out = mv2_p.getLevel() - lon_out = mv2_p.getLongitude() - mv1_reg = mv1_p.crossSectionRegrid(lev_out, lon_out) - # In order to use regrid tool we need to have at least two - # latitude bands, so generate new grid first. - lat = cdms2.createAxis([0]) - lat.setBounds(numpy.array([-1, 1])) - lat.designateLatitude() - grid = cdms2.createRectGrid(lat, lon_out) - - data_shape = list(mv1_p.shape) - data_shape.append(1) - mv1_reg = MV2.resize(mv1_p, data_shape) - mv1_reg.setAxis(-1, lat) - for i, ax in enumerate(mv1_p.getAxisList()): - mv1_reg.setAxis(i, ax) - - mv1_reg = mv1_reg.regrid(grid, regridTool="regrid2")[..., 0] - # Apply the mask back, since crossSectionRegrid - # doesn't preserve the mask. - mv1_reg = MV2.masked_where(mv1_reg == mv1_reg.fill_value, mv1_reg) - else: - mv1_reg = mv1_p - mv2_reg = mv2_p - - diff = mv1_reg - mv2_reg - metrics_dict = create_metrics(mv2_p, mv1_p, mv2_reg, mv1_reg, diff) - - parameter.var_region = "global" - - plot( - parameter.current_set, - mv2_p, - mv1_p, - diff, - metrics_dict, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, mv1_p, mv2_p, diff, parameter - ) - # For variables without a z-axis. - elif mv1.getLevel() is None and mv2.getLevel() is None: - raise RuntimeError( - "One of or both data doesn't have z dimention. Aborting." - ) +def _add_placeholder_y_axis(ds_original: xr.Dataset, ds_avg: xr.Dataset, var_key: str): + lat_original = xc.get_dim_coords(ds_original, axis="Y") - return parameter + # Make sure to drop the old Y axis before adding the new Y axis. Otherwise, + # the new Y axis can't be added. + lat_key = lat_original.name + ds_avg_new = ds_avg.drop_dims(lat_key) + + ds_avg_new[var_key] = ds_avg_new[var_key].expand_dims({lat_key: [0]}) + ds_avg_new[lat_key].attrs = lat_original.attrs.copy() + + lat_bnds_key = lat_original.attrs["bounds"] + lat_bnds_original = ds_original[lat_bnds_key].copy() + ds_avg_new[lat_bnds_key] = xr.DataArray( + name=lat_bnds_key, + dims=lat_bnds_original.dims, + data=[[-1, 1]], + attrs=lat_bnds_original.attrs.copy(), + ) + + return ds_avg_new + + +def _create_metrics_dict( + var_key: str, + ds_test: xr.Dataset, + ds_test_regrid: xr.Dataset, + ds_ref: xr.Dataset, + ds_ref_regrid: xr.Dataset, + ds_diff: xr.Dataset, +) -> MetricsDict: + """Calculate metrics using the variable in the datasets. + + Metrics include min value, max value, spatial average (mean), standard + deviation, correlation (pearson_r), and RMSE. + + Parameters + ---------- + var_key : str + The variable key. + ds_test : xr.Dataset + The test dataset. + ds_test_regrid : xr.Dataset + The regridded test Dataset. + ds_ref : xr.Dataset + The reference dataset. + ds_ref_regrid : xr.Dataset + The regridded reference dataset. + ds_diff : xr. Dataset + The difference between ``ds_test_regrid`` and ``ds_ref_regrid``. + + Returns + ------- + Metrics + A dictionary with the key being a string and the value being either + a sub-dictionary (key is metric and value is float) or a string + ("unit"). + """ + metrics_dict = {} + + metrics_dict["units"] = ds_test[var_key].attrs["units"] + metrics_dict["ref"] = { + "min": ds_ref[var_key].min().item(), + "max": ds_test[var_key].max().item(), + "mean": spatial_avg(ds_ref, var_key, axis=["X", "Z"]), + } + metrics_dict["test"] = { + "min": ds_test[var_key].min().item(), + "max": ds_test[var_key].max().item(), + "mean": spatial_avg(ds_test, var_key, axis=["X", "Z"]), + } + + metrics_dict["diff"] = { + "min": ds_diff[var_key].min().item(), + "max": ds_diff[var_key].max().item(), + "mean": spatial_avg(ds_diff, var_key, axis=["X", "Z"]), + } + + metrics_dict["misc"] = { + "rmse": rmse(ds_test_regrid, ds_ref_regrid, var_key, axis=["X", "Z"]), + "corr": correlation(ds_test_regrid, ds_ref_regrid, var_key, axis=["X", "Z"]), + } + + return metrics_dict diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index 13a810e0f..bed823846 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -334,6 +334,7 @@ def align_grids_to_lower_res( var_key: str, tool: REGRID_TOOLS, method: str, + axis_to_compare: str = "Y", ) -> Tuple[xr.Dataset, xr.Dataset]: """Align the grids of two Dataset using the lower resolution of the two. @@ -367,6 +368,9 @@ def align_grids_to_lower_res( regrid2 options: - "conservative" + axis_to_compare : str + The axis to use to compare resolutions to find the lower resolution + of both variables, either "X" or "Y". by default "Y". Returns ------- @@ -392,10 +396,10 @@ def align_grids_to_lower_res( ds_a_new = _drop_unused_ilev_axis(ds_a) ds_b_new = _drop_unused_ilev_axis(ds_b) - lat_a = xc.get_dim_coords(ds_a_new[var_key], axis="Y") - lat_b = xc.get_dim_coords(ds_b_new[var_key], axis="Y") + axis_a = xc.get_dim_coords(ds_a_new[var_key], axis=axis_to_compare) + axis_b = xc.get_dim_coords(ds_b_new[var_key], axis=axis_to_compare) - is_a_lower_res = len(lat_a) <= len(lat_b) + is_a_lower_res = len(axis_a) <= len(axis_b) if is_a_lower_res: output_grid = ds_a_new.regridder.grid diff --git a/e3sm_diags/driver/zonal_mean_2d_driver.py b/e3sm_diags/driver/zonal_mean_2d_driver.py index d45cb2e7b..90f2a34e7 100755 --- a/e3sm_diags/driver/zonal_mean_2d_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_driver.py @@ -120,7 +120,6 @@ def _run_diags_3d( parameter._set_param_output_attrs( var_key, season, parameter.regions[0], ref_name, ilev=None ) - _save_data_metrics_and_plots( parameter, plot_func, diff --git a/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py b/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py deleted file mode 100644 index 09d3ed258..000000000 --- a/e3sm_diags/plot/cartopy/meridional_mean_2d_plot.py +++ /dev/null @@ -1,271 +0,0 @@ -from __future__ import print_function - -import os - -import matplotlib # noqa: E402 -import numpy as np -import numpy.ma as ma - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import get_colormap - -matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.6810, 0.6465, 0.2258), - (0.1691, 0.3961, 0.6465, 0.2258), - (0.1691, 0.1112, 0.6465, 0.2258), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def plot_panel(n, fig, proj, var, clevels, cmap, title, parameters, stats=None): - # var_min = float(var.min()) - # var_max = float(var.max()) - # var_mean = cdutil.averager(var, axis='xy', weights='generate') - var = add_cyclic(var) - lon = var.getLongitude() - # lat = var.getLatitude() - plev = var.getLevel() - var = ma.squeeze(var.asma()) - - # Contour levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - # Contour plot - ax = fig.add_axes(panel[n], projection=proj) - cmap = get_colormap(cmap, parameters) - p1 = ax.contourf( - lon, - plev, - var, - # transform=ccrs.PlateCarree(), - norm=norm, - levels=levels, - cmap=cmap, - extend="both", - ) - ax.set_aspect("auto") - # ax.coastlines(lw=0.3) - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - ax.set_xticks([0, 60, 120, 180, 240, 300, 359.99]) # , crs=ccrs.PlateCarree()) - ax.set_xticklabels(["0", "60E", "120E", 180, "120W", "60W", "0"]) - # ax.set_xticks([-180, -120, -60, 0, 60, 120, 180], crs=ccrs.PlateCarree()) - # ax.set_xticks([-90, -60, -30, 0, 30, 60, 90]) # , crs=ccrs.PlateCarree()) - # ax.set_xlim(-90, 90) - # lon_formatter = LongitudeFormatter( - # zero_direction_label=True, number_format='.0f') - # LatitudeFormatter() - # ax.xaxis.set_major_formatter(lon_formatter) - # ax.xaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - if parameters.plot_log_plevs: - ax.set_yscale("log") - if parameters.plot_plevs: - plev_ticks = parameters.plevs - # plev_ticks = plev_ticks[::-1] - plt.yticks(plev_ticks, plev_ticks) - - ax.invert_yaxis() - ax.set_ylabel("Pressure (mb)") - - # Color bar - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0215, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax) - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - else: - fmt = "%6.1f" - pad = 30 - cbar.set_ticks(levels[1:-1]) - labels = [fmt % level for level in levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Min, Mean, Max - fig.text( - panel[n][0] + 0.6635, - panel[n][1] + 0.2107, - "Max\nMean\nMin", - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.7635, - panel[n][1] + 0.2107, - "%.2f\n%.2f\n%.2f" % stats[0:3], - ha="right", - fontdict=plotSideTitle, - ) - - # RMSE, CORR - if len(stats) == 5: - fig.text( - panel[n][0] + 0.6635, - panel[n][1] - 0.0105, - "RMSE\nCORR", - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.7635, - panel[n][1] - 0.0105, - "%.2f\n%.2f" % stats[3:5], - ha="right", - fontdict=plotSideTitle, - ) - # plt.yscale('log') - # plt.gca().invert_yaxis() - - -def plot(reference, test, diff, metrics_dict, parameter): - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - # proj = ccrs.PlateCarree(central_longitude=180) - proj = None - - # First two panels - min1 = metrics_dict["test"]["min"] - mean1 = metrics_dict["test"]["mean"] - max1 = metrics_dict["test"]["max"] - - plot_panel( - 0, - fig, - proj, - test, - parameter.contour_levels, - parameter.test_colormap, - (parameter.test_name_yrs, parameter.test_title, test.units), - parameter, - stats=(max1, mean1, min1), - ) - - min2 = metrics_dict["ref"]["min"] - mean2 = metrics_dict["ref"]["mean"] - max2 = metrics_dict["ref"]["max"] - plot_panel( - 1, - fig, - proj, - reference, - parameter.contour_levels, - parameter.reference_colormap, - (parameter.ref_name_yrs, parameter.reference_title, reference.units), - parameter, - stats=(max2, mean2, min2), - ) - - # Third panel - min3 = metrics_dict["diff"]["min"] - mean3 = metrics_dict["diff"]["mean"] - max3 = metrics_dict["diff"]["max"] - - r = metrics_dict["misc"]["rmse"] - c = metrics_dict["misc"]["corr"] - plot_panel( - 2, - fig, - proj, - diff, - parameter.diff_levels, - parameter.diff_colormap, - (None, parameter.diff_title, test.units), - parameter, - stats=(max3, mean3, min3, r, c), - ) - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/meridional_mean_2d_plot.py b/e3sm_diags/plot/meridional_mean_2d_plot.py new file mode 100644 index 000000000..677bc5185 --- /dev/null +++ b/e3sm_diags/plot/meridional_mean_2d_plot.py @@ -0,0 +1,156 @@ +from typing import List, Tuple, Union + +import matplotlib +import xarray as xr +import xcdat as xc + +from e3sm_diags.driver.utils.type_annotations import MetricsDict +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.utils import ( + DEFAULT_PANEL_CFG, + _add_colorbar, + _add_contour_plot, + _add_min_mean_max_text, + _add_rmse_corr_text, + _configure_titles, + _get_c_levels_and_norm, + _make_lon_cyclic, + _save_plot, +) + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, + metrics_dict: MetricsDict, +): + # Create figure, projection + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + + units = metrics_dict["units"] + + min1 = metrics_dict["test"]["min"] # type: ignore + mean1 = metrics_dict["test"]["mean"] # type: ignore + max1 = metrics_dict["test"]["max"] # type: ignore + + _add_colormap( + 0, + da_test, + fig, + parameter, + parameter.test_colormap, + parameter.contour_levels, + title=(parameter.test_name_yrs, parameter.test_title, units), # type: ignore + metrics=(max1, mean1, min1), # type: ignore + ) + + min2 = metrics_dict["ref"]["min"] # type: ignore + mean2 = metrics_dict["ref"]["mean"] # type: ignore + max2 = metrics_dict["ref"]["max"] # type: ignore + + _add_colormap( + 1, + da_ref, + fig, + parameter, + parameter.reference_colormap, + parameter.contour_levels, + title=(parameter.ref_name_yrs, parameter.reference_title, units), # type: ignore + metrics=(max2, mean2, min2), # type: ignore + ) + + min3 = metrics_dict["diff"]["min"] # type: ignore + mean3 = metrics_dict["diff"]["mean"] # type: ignore + max3 = metrics_dict["diff"]["max"] # type: ignore + + r = metrics_dict["misc"]["rmse"] # type: ignore + c = metrics_dict["misc"]["corr"] # type: ignore + + _add_colormap( + 2, + da_diff, + fig, + parameter, + parameter.diff_colormap, + parameter.diff_levels, + title=(None, parameter.diff_title, units), # type: ignore + metrics=(max3, mean3, min3, r, c), # type: ignore + ) + + fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) + + _save_plot(fig, parameter) + + plt.close() + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: CoreParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[Union[str, None], str, str], + metrics: Tuple[float, ...], +): + var = _make_lon_cyclic(var) + lon = xc.get_dim_coords(var, axis="X") + plev = xc.get_dim_coords(var, axis="Z") + + var = var.squeeze() + + # Configure contour levels and boundary norm. + # -------------------------------------------------------------------------- + c_levels, norm = _get_c_levels_and_norm(contour_levels) + + # Configure contour plot. + # -------------------------------------------------------------------------- + ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num]) + contour_plot = _add_contour_plot( + ax, parameter, var, lon, plev, color_map, None, norm, c_levels + ) + + # Configure the aspect ratio and plot titles. + # -------------------------------------------------------------------------- + ax.set_aspect("auto") + + _configure_titles(ax, title) + + # Configure x and y axis. + # -------------------------------------------------------------------------- + ax.set_xticks([0, 60, 120, 180, 240, 300, 359.99]) + ax.set_xticklabels(["0", "60E", "120E", "180", "120W", "60W", "0"]) + + ax.tick_params(labelsize=8.0, direction="out", width=1) + ax.xaxis.set_ticks_position("bottom") + ax.yaxis.set_ticks_position("left") + + if parameter.plot_log_plevs: + ax.set_yscale("log") + + if parameter.plot_plevs: + plev_ticks = parameter.plevs + plt.yticks(plev_ticks, plev_ticks) + + ax.invert_yaxis() + ax.set_ylabel("Pressure (mb)") + + # Add and configure the color bar. + # -------------------------------------------------------------------------- + _add_colorbar(fig, subplot_num, DEFAULT_PANEL_CFG, contour_plot, c_levels) + + # Add metrics text to the figure. + # -------------------------------------------------------------------------- + _add_min_mean_max_text(fig, subplot_num, DEFAULT_PANEL_CFG, metrics) + + if len(metrics) == 5: + _add_rmse_corr_text(fig, subplot_num, DEFAULT_PANEL_CFG, metrics) diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index 340e7bc27..ad308dbe5 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -580,7 +580,7 @@ def _add_min_mean_max_text( fontdict = {"fontsize": fontsize} if left_text_pos is None: - left_text_pos = (0.6335, 0.2107) + left_text_pos = (0.6635, 0.2107) if right_text_pos is None: right_text_pos = (0.7635, 0.2107) From f248befde1705b983b64fa5e88a1c1c697afdd05 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 13 May 2024 13:24:49 -0700 Subject: [PATCH 15/41] CDAT Migration: Refactor `aerosol_budget` (#800) --- ...C30to60E2r2.chrysalis-ANN-budget-table.csv | 66 ++ ...C30to60E2r2.chrysalis-JJA-budget-table.csv | 66 ++ ...C30to60E2r2.chrysalis-ANN-budget-table.csv | 66 ++ ...C30to60E2r2.chrysalis-JJA-budget-table.csv | 66 ++ .../673-aerosol-budget/run.cfg | 4 + .../673-aerosol-budget/run_script.py | 13 + e3sm_diags/derivations/derivations.py | 783 ++++++++---------- e3sm_diags/derivations/formulas.py | 408 ++++++++- e3sm_diags/driver/aerosol_aeronet_driver.py | 5 +- e3sm_diags/driver/aerosol_budget_driver.py | 384 +++++---- e3sm_diags/driver/utils/climo_xr.py | 12 +- e3sm_diags/driver/utils/dataset_xr.py | 36 +- e3sm_diags/driver/utils/regrid.py | 58 +- e3sm_diags/driver/utils/zwf_functions.py | 8 +- e3sm_diags/parameter/core_parameter.py | 8 +- .../plot/cartopy/tropical_subseasonal_plot.py | 39 +- 16 files changed, 1359 insertions(+), 663 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv create mode 100644 auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv create mode 100644 auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv create mode 100644 auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv create mode 100644 auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run_script.py diff --git a/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv new file mode 100644 index 000000000..bb6270677 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv @@ -0,0 +1,66 @@ +Test: 20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis (0051-0060) +Ref: Aerosol Global Benchmarks (Present Day) + ,Test,Ref +Black Carbon +Surface Emission (Tg/yr),0.92, +Elevated Emission (Tg/yr),1.64, +Sink (Tg/yr),2.55,9.7 (8.4 - 9.8) +Dry Deposition (Tg/yr),0.99,2.0 (< 69) +Wet Deposition (Tg/yr),1.57,7.8 (< 43) +Burden (Tg),0.05,0.131 (0.068 - 0.260) +Lifetime (Days),7.60,5.5 (2.9 - 9.6) + +Dust +Surface Emission (Tg/yr),4514.81,~3500 (1300-7400) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),4537.42,~3500 (1300-7400) +Dry Deposition (Tg/yr),3634.96,302 - 3356 +Wet Deposition (Tg/yr),902.46,295 - 1382 +Burden (Tg),24.98,25 (9-74) +Lifetime (Days),2.01,3.5 (1.8-6.8) + +Marine Organic Matter +Surface Emission (Tg/yr),16.85,7 - 90 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),16.97,7 - 90 +Dry Deposition (Tg/yr),6.14, +Wet Deposition (Tg/yr),10.83, +Burden (Tg),0.10,ca. 0.048 +Lifetime (Days),2.13,ca. 2 + +Sea Salt +Surface Emission (Tg/yr),2536.00,4980 (2030 - 5e4) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),2554.30,4980 (2030 - 5e4) +Dry Deposition (Tg/yr),1891.26,4465 (3000 - 5900) +Wet Deposition (Tg/yr),663.05,1650 (1000 - 2300) +Burden (Tg),5.05,8.7 (2.5 - 26.4) +Lifetime (Days),0.72,0.56 (0.24 - 3.13) + +Primary Organic Matter +Surface Emission (Tg/yr),5.94, +Elevated Emission (Tg/yr),19.54, +Sink (Tg/yr),25.42,56 (40 - 127) +Dry Deposition (Tg/yr),9.27,10 (2.4 - 25.6) +Wet Deposition (Tg/yr),16.15,55 (35 - 100) +Burden (Tg),0.55,0.9 (0.56 - 1.16) +Lifetime (Days),7.91,5 (2.5 - 6.8) + +Sulfate +Surface Emission (Tg/yr),0.04, +Elevated Emission (Tg/yr),1.27, +Sink (Tg/yr),51.75,143 (94.3 - 240) +Dry Deposition (Tg/yr),9.94,21 (< 84) +Wet Deposition (Tg/yr),41.81,160 (94 - 230) +Burden (Tg),0.95,1.8 (0.66 - 2.95) +Lifetime (Days),6.73,4.9 (2.6 - 7.0) + +Secondary Organic Aerosol +Surface Emission (Tg/yr),0.00,0 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),61.75,38 +Dry Deposition (Tg/yr),7.68,4 (2.4 - 11.6) +Wet Deposition (Tg/yr),54.08,30 (15 - 105) +Burden (Tg),2.41,0.8 (0.4 - 2.2) +Lifetime (Days),14.25,7 (4 - 14.5) + diff --git a/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv new file mode 100644 index 000000000..18c66a5a6 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/dev-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv @@ -0,0 +1,66 @@ +Test: 20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis (0051-0060) +Ref: Aerosol Global Benchmarks (Present Day) + ,Test,Ref +Black Carbon +Surface Emission (Tg/yr),0.66, +Elevated Emission (Tg/yr),2.08, +Sink (Tg/yr),2.64,9.7 (8.4 - 9.8) +Dry Deposition (Tg/yr),0.93,2.0 (< 69) +Wet Deposition (Tg/yr),1.72,7.8 (< 43) +Burden (Tg),0.06,0.131 (0.068 - 0.260) +Lifetime (Days),8.17,5.5 (2.9 - 9.6) + +Dust +Surface Emission (Tg/yr),5053.66,~3500 (1300-7400) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),5069.61,~3500 (1300-7400) +Dry Deposition (Tg/yr),3880.20,302 - 3356 +Wet Deposition (Tg/yr),1189.41,295 - 1382 +Burden (Tg),34.81,25 (9-74) +Lifetime (Days),2.51,3.5 (1.8-6.8) + +Marine Organic Matter +Surface Emission (Tg/yr),13.85,7 - 90 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),13.95,7 - 90 +Dry Deposition (Tg/yr),5.02, +Wet Deposition (Tg/yr),8.93, +Burden (Tg),0.09,ca. 0.048 +Lifetime (Days),2.27,ca. 2 + +Sea Salt +Surface Emission (Tg/yr),2662.40,4980 (2030 - 5e4) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),2679.84,4980 (2030 - 5e4) +Dry Deposition (Tg/yr),1982.91,4465 (3000 - 5900) +Wet Deposition (Tg/yr),696.93,1650 (1000 - 2300) +Burden (Tg),5.24,8.7 (2.5 - 26.4) +Lifetime (Days),0.71,0.56 (0.24 - 3.13) + +Primary Organic Matter +Surface Emission (Tg/yr),3.83, +Elevated Emission (Tg/yr),28.61, +Sink (Tg/yr),31.32,56 (40 - 127) +Dry Deposition (Tg/yr),10.47,10 (2.4 - 25.6) +Wet Deposition (Tg/yr),20.85,55 (35 - 100) +Burden (Tg),0.72,0.9 (0.56 - 1.16) +Lifetime (Days),8.43,5 (2.5 - 6.8) + +Sulfate +Surface Emission (Tg/yr),0.03, +Elevated Emission (Tg/yr),1.30, +Sink (Tg/yr),47.59,143 (94.3 - 240) +Dry Deposition (Tg/yr),10.05,21 (< 84) +Wet Deposition (Tg/yr),37.53,160 (94 - 230) +Burden (Tg),1.00,1.8 (0.66 - 2.95) +Lifetime (Days),7.68,4.9 (2.6 - 7.0) + +Secondary Organic Aerosol +Surface Emission (Tg/yr),0.00,0 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),78.50,38 +Dry Deposition (Tg/yr),11.43,4 (2.4 - 11.6) +Wet Deposition (Tg/yr),67.07,30 (15 - 105) +Burden (Tg),2.79,0.8 (0.4 - 2.2) +Lifetime (Days),12.95,7 (4 - 14.5) + diff --git a/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv new file mode 100644 index 000000000..bb6270677 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-ANN-budget-table.csv @@ -0,0 +1,66 @@ +Test: 20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis (0051-0060) +Ref: Aerosol Global Benchmarks (Present Day) + ,Test,Ref +Black Carbon +Surface Emission (Tg/yr),0.92, +Elevated Emission (Tg/yr),1.64, +Sink (Tg/yr),2.55,9.7 (8.4 - 9.8) +Dry Deposition (Tg/yr),0.99,2.0 (< 69) +Wet Deposition (Tg/yr),1.57,7.8 (< 43) +Burden (Tg),0.05,0.131 (0.068 - 0.260) +Lifetime (Days),7.60,5.5 (2.9 - 9.6) + +Dust +Surface Emission (Tg/yr),4514.81,~3500 (1300-7400) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),4537.42,~3500 (1300-7400) +Dry Deposition (Tg/yr),3634.96,302 - 3356 +Wet Deposition (Tg/yr),902.46,295 - 1382 +Burden (Tg),24.98,25 (9-74) +Lifetime (Days),2.01,3.5 (1.8-6.8) + +Marine Organic Matter +Surface Emission (Tg/yr),16.85,7 - 90 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),16.97,7 - 90 +Dry Deposition (Tg/yr),6.14, +Wet Deposition (Tg/yr),10.83, +Burden (Tg),0.10,ca. 0.048 +Lifetime (Days),2.13,ca. 2 + +Sea Salt +Surface Emission (Tg/yr),2536.00,4980 (2030 - 5e4) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),2554.30,4980 (2030 - 5e4) +Dry Deposition (Tg/yr),1891.26,4465 (3000 - 5900) +Wet Deposition (Tg/yr),663.05,1650 (1000 - 2300) +Burden (Tg),5.05,8.7 (2.5 - 26.4) +Lifetime (Days),0.72,0.56 (0.24 - 3.13) + +Primary Organic Matter +Surface Emission (Tg/yr),5.94, +Elevated Emission (Tg/yr),19.54, +Sink (Tg/yr),25.42,56 (40 - 127) +Dry Deposition (Tg/yr),9.27,10 (2.4 - 25.6) +Wet Deposition (Tg/yr),16.15,55 (35 - 100) +Burden (Tg),0.55,0.9 (0.56 - 1.16) +Lifetime (Days),7.91,5 (2.5 - 6.8) + +Sulfate +Surface Emission (Tg/yr),0.04, +Elevated Emission (Tg/yr),1.27, +Sink (Tg/yr),51.75,143 (94.3 - 240) +Dry Deposition (Tg/yr),9.94,21 (< 84) +Wet Deposition (Tg/yr),41.81,160 (94 - 230) +Burden (Tg),0.95,1.8 (0.66 - 2.95) +Lifetime (Days),6.73,4.9 (2.6 - 7.0) + +Secondary Organic Aerosol +Surface Emission (Tg/yr),0.00,0 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),61.75,38 +Dry Deposition (Tg/yr),7.68,4 (2.4 - 11.6) +Wet Deposition (Tg/yr),54.08,30 (15 - 105) +Burden (Tg),2.41,0.8 (0.4 - 2.2) +Lifetime (Days),14.25,7 (4 - 14.5) + diff --git a/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv new file mode 100644 index 000000000..18c66a5a6 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/main-results/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis-JJA-budget-table.csv @@ -0,0 +1,66 @@ +Test: 20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis (0051-0060) +Ref: Aerosol Global Benchmarks (Present Day) + ,Test,Ref +Black Carbon +Surface Emission (Tg/yr),0.66, +Elevated Emission (Tg/yr),2.08, +Sink (Tg/yr),2.64,9.7 (8.4 - 9.8) +Dry Deposition (Tg/yr),0.93,2.0 (< 69) +Wet Deposition (Tg/yr),1.72,7.8 (< 43) +Burden (Tg),0.06,0.131 (0.068 - 0.260) +Lifetime (Days),8.17,5.5 (2.9 - 9.6) + +Dust +Surface Emission (Tg/yr),5053.66,~3500 (1300-7400) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),5069.61,~3500 (1300-7400) +Dry Deposition (Tg/yr),3880.20,302 - 3356 +Wet Deposition (Tg/yr),1189.41,295 - 1382 +Burden (Tg),34.81,25 (9-74) +Lifetime (Days),2.51,3.5 (1.8-6.8) + +Marine Organic Matter +Surface Emission (Tg/yr),13.85,7 - 90 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),13.95,7 - 90 +Dry Deposition (Tg/yr),5.02, +Wet Deposition (Tg/yr),8.93, +Burden (Tg),0.09,ca. 0.048 +Lifetime (Days),2.27,ca. 2 + +Sea Salt +Surface Emission (Tg/yr),2662.40,4980 (2030 - 5e4) +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),2679.84,4980 (2030 - 5e4) +Dry Deposition (Tg/yr),1982.91,4465 (3000 - 5900) +Wet Deposition (Tg/yr),696.93,1650 (1000 - 2300) +Burden (Tg),5.24,8.7 (2.5 - 26.4) +Lifetime (Days),0.71,0.56 (0.24 - 3.13) + +Primary Organic Matter +Surface Emission (Tg/yr),3.83, +Elevated Emission (Tg/yr),28.61, +Sink (Tg/yr),31.32,56 (40 - 127) +Dry Deposition (Tg/yr),10.47,10 (2.4 - 25.6) +Wet Deposition (Tg/yr),20.85,55 (35 - 100) +Burden (Tg),0.72,0.9 (0.56 - 1.16) +Lifetime (Days),8.43,5 (2.5 - 6.8) + +Sulfate +Surface Emission (Tg/yr),0.03, +Elevated Emission (Tg/yr),1.30, +Sink (Tg/yr),47.59,143 (94.3 - 240) +Dry Deposition (Tg/yr),10.05,21 (< 84) +Wet Deposition (Tg/yr),37.53,160 (94 - 230) +Burden (Tg),1.00,1.8 (0.66 - 2.95) +Lifetime (Days),7.68,4.9 (2.6 - 7.0) + +Secondary Organic Aerosol +Surface Emission (Tg/yr),0.00,0 +Elevated Emission (Tg/yr),0.00,0 +Sink (Tg/yr),78.50,38 +Dry Deposition (Tg/yr),11.43,4 (2.4 - 11.6) +Wet Deposition (Tg/yr),67.07,30 (15 - 105) +Burden (Tg),2.79,0.8 (0.4 - 2.2) +Lifetime (Days),12.95,7 (4 - 14.5) + diff --git a/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run.cfg b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run.cfg new file mode 100644 index 000000000..9edf9cec9 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run.cfg @@ -0,0 +1,4 @@ +[#] +sets = ["aerosol_budget"] +variables = ["bc, dst, mom, ncl, pom, so4, soa"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] diff --git a/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run_script.py b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run_script.py new file mode 100644 index 000000000..9c2f5ec84 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run_script.py @@ -0,0 +1,13 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.673-aerosol-budget.run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "aerosol_budget" +SET_DIR = "673-aerosol-budget" +CFG_PATH: str | None = ( + "auxiliary_tools/cdat_regression_testing/673-aerosol-budget/run.cfg" +) +# CFG_PATH: str | None = None +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index a443ad40e..54f528e7d 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -16,13 +16,27 @@ from typing import Callable, Dict, Tuple, Union from e3sm_diags.derivations.formulas import ( + aero_burden_fxn, + aero_mass_fxn, albedo, albedo_srf, albedoc, + cld_iwp, + cld_lwp, + cldtop_cdnc, + cldtop_icnc, + erf_aci, + erf_ari, + erf_res, + erf_tot, fldsc, flus, fp_uptake, fsus, + incld_iwp, + incld_lwp, + incldtop_cdnc, + incldtop_icnc, lwcf, lwcfsrf, molec_convert_units, @@ -48,6 +62,7 @@ restom, rst, rstcs, + sum_vars, swcf, swcfsrf, tauxy, @@ -665,417 +680,184 @@ ("FISCCP1_COSP",): cosp_histogram_standardize, ("CLISCCP",): cosp_histogram_standardize, }, - "ICEFRAC": OrderedDict( - [ - ( - ("ICEFRAC",), - lambda icefrac: convert_units(icefrac, target_units="%"), - ) - ] - ), - "RELHUM": OrderedDict( - [ - (("hur",), lambda hur: convert_units(hur, target_units="%")), - ( - ("RELHUM",), - lambda relhum: convert_units(relhum, target_units="%"), - ) - # (('RELHUM',), rename) - ] - ), - "OMEGA": OrderedDict( - [ - ( - ("wap",), - lambda wap: convert_units(wap, target_units="mbar/day"), - ), - ( - ("OMEGA",), - lambda omega: convert_units(omega, target_units="mbar/day"), - ), - ] - ), - "Q": OrderedDict( - [ - ( - ("hus",), - lambda q: convert_units(rename(q), target_units="g/kg"), - ), - (("Q",), lambda q: convert_units(rename(q), target_units="g/kg")), - (("SHUM",), lambda shum: convert_units(shum, target_units="g/kg")), - ] - ), - "H2OLNZ": OrderedDict( - [ - ( - ("hus",), - lambda q: convert_units(rename(q), target_units="g/kg"), - ), - (("H2OLNZ",), lambda h2o: w_convert_q(h2o)), - ] - ), - "TAUXY": OrderedDict( - [ - (("TAUX", "TAUY"), lambda taux, tauy: tauxy(taux, tauy)), - (("tauu", "tauv"), lambda taux, tauy: tauxy(taux, tauy)), - ] - ), - "AODVIS": OrderedDict( - [ - (("od550aer",), rename), - ( - ("AODVIS",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ( - ("AOD_550",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ( - ("TOTEXTTAU",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ( - ("AOD_550_ann",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ] - ), - "AODABS": OrderedDict([(("abs550aer",), rename)]), - "AODDUST": OrderedDict( - [ - ( - ("AODDUST",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ) - ] - ), + "ICEFRAC": { + ("ICEFRAC",): lambda icefrac: convert_units(icefrac, target_units="%"), + }, + "RELHUM": { + ("hur",): lambda hur: convert_units(hur, target_units="%"), + ("RELHUM",): lambda relhum: convert_units(relhum, target_units="%"), + }, + "OMEGA": { + ("wap",): lambda wap: convert_units(wap, target_units="mbar/day"), + ("OMEGA",): lambda omega: convert_units(omega, target_units="mbar/day"), + }, + "Q": { + ("hus",): lambda q: convert_units(rename(q), target_units="g/kg"), + ("Q",): lambda q: convert_units(rename(q), target_units="g/kg"), + ("SHUM",): lambda shum: convert_units(shum, target_units="g/kg"), + }, + "H2OLNZ": { + ("hus",): lambda q: convert_units(rename(q), target_units="g/kg"), + ("H2OLNZ",): lambda h2o: w_convert_q(h2o), + }, + "TAUXY": { + ("TAUX", "TAUY"): lambda taux, tauy: tauxy(taux, tauy), + ("tauu", "tauv"): lambda taux, tauy: tauxy(taux, tauy), + }, + "AODVIS": { + ("od550aer",): rename, + ("AODVIS",): lambda aod: convert_units( + rename(aod), target_units="dimensionless" + ), + ("AOD_550",): lambda aod: convert_units( + rename(aod), target_units="dimensionless" + ), + ("TOTEXTTAU",): lambda aod: convert_units( + rename(aod), target_units="dimensionless" + ), + ("AOD_550_ann",): lambda aod: convert_units( + rename(aod), target_units="dimensionless" + ), + }, + "AODABS": {("abs550aer",): rename}, + "AODDUST": { + ("AODDUST",): lambda aod: convert_units( + rename(aod), target_units="dimensionless" + ), + }, # Surface temperature: Degrees C # (Temperature of the surface (land/water) itself, not the air) - "TS": OrderedDict([(("ts",), rename)]), - "PS": OrderedDict([(("ps",), rename)]), - "U10": OrderedDict([(("sfcWind",), rename)]), + "TS": {("ts",): rename}, + "PS": {("ps",): rename}, + "U10": {("sfcWind",): rename}, "QREFHT": { ("QREFHT",): lambda q: convert_units(q, target_units="g/kg"), ("huss",): lambda q: convert_units(q, target_units="g/kg"), ("d2m", "sp"): qsat, }, - "PRECC": OrderedDict([(("prc",), rename)]), - "TAUX": OrderedDict([(("tauu",), lambda tauu: -tauu)]), - "TAUY": OrderedDict([(("tauv",), lambda tauv: -tauv)]), - "CLDICE": OrderedDict([(("cli",), rename)]), - "TGCLDIWP": OrderedDict([(("clivi",), rename)]), - "CLDLIQ": OrderedDict([(("clw",), rename)]), - "TGCLDCWP": OrderedDict([(("clwvi",), rename)]), - "O3": OrderedDict([(("o3",), rename)]), + "PRECC": {("prc",): rename}, + "TAUX": {("tauu",): lambda tauu: -tauu}, + "TAUY": {("tauv",): lambda tauv: -tauv}, + "CLDICE": {("cli",): rename}, + "TGCLDIWP": {("clivi",): rename}, + "CLDLIQ": {("clw",): rename}, + "TGCLDCWP": {("clwvi",): rename}, + "O3": {("o3",): rename}, "PminusE": { ("PminusE",): pminuse_convert_units, ("PRECC", "PRECL", "QFLX"): pminuse_1, ("F_prec", "F_evap"): pminuse_2, ("pr", "evspsbl"): pminuse_3, }, - "TREFMNAV": OrderedDict( - [ - (("TREFMNAV",), lambda t: convert_units(t, target_units="DegC")), - (("tasmin",), lambda t: convert_units(t, target_units="DegC")), - ] - ), - "TREFMXAV": OrderedDict( - [ - (("TREFMXAV",), lambda t: convert_units(t, target_units="DegC")), - (("tasmax",), lambda t: convert_units(t, target_units="DegC")), - ] - ), - "TREF_range": OrderedDict( - [ - ( - ( - "TREFMXAV", - "TREFMNAV", - ), - lambda tmax, tmin: tref_range(tmax, tmin), - ), - ( - ( - "tasmax", - "tasmin", - ), - lambda tmax, tmin: tref_range(tmax, tmin), - ), - ] - ), - "TCO": OrderedDict([(("TCO",), rename)]), - "SCO": OrderedDict([(("SCO",), rename)]), - "bc_DDF": OrderedDict( - [ - (("bc_DDF",), rename), - ( - ( - "bc_a?DDF", - "bc_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "bc_SFWET": OrderedDict( - [ - (("bc_SFWET",), rename), - ( - ( - "bc_a?SFWET", - "bc_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFbc": OrderedDict( - [ - (("SFbc",), rename), - (("SFbc_a?",), lambda *x: sum(x)), - ] - ), - "bc_CLXF": OrderedDict( - [ - (("bc_CLXF",), rename), - (("bc_a?_CLXF",), lambda *x: molec_convert_units(sum(x), 12.0)), - ] - ), - "Mass_bc": OrderedDict( - [ - (("Mass_bc",), rename), - ] - ), - "dst_DDF": OrderedDict( - [ - (("dst_DDF",), rename), - ( - ( - "dst_a?DDF", - "dst_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "dst_SFWET": OrderedDict( - [ - (("dst_SFWET",), rename), - ( - ( - "dst_a?SFWET", - "dst_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFdst": OrderedDict( - [ - (("SFdst",), rename), - (("SFdst_a?",), lambda *x: sum(x)), - ] - ), - "Mass_dst": OrderedDict( - [ - (("Mass_dst",), rename), - ] - ), - "mom_DDF": OrderedDict( - [ - (("mom_DDF",), rename), - ( - ( - "mom_a?DDF", - "mom_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "mom_SFWET": OrderedDict( - [ - (("mom_SFWET",), rename), - ( - ( - "mom_a?SFWET", - "mom_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFmom": OrderedDict( - [ - (("SFmom",), rename), - (("SFmom_a?",), lambda *x: sum(x)), - ] - ), - "Mass_mom": OrderedDict( - [ - (("Mass_mom",), rename), - ] - ), - "ncl_DDF": OrderedDict( - [ - (("ncl_DDF",), rename), - ( - ( - "ncl_a?DDF", - "ncl_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "ncl_SFWET": OrderedDict( - [ - (("ncl_SFWET",), rename), - ( - ( - "ncl_a?SFWET", - "ncl_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFncl": OrderedDict( - [ - (("SFncl",), rename), - (("SFncl_a?",), lambda *x: sum(x)), - ] - ), - "Mass_ncl": OrderedDict( - [ - (("Mass_ncl",), rename), - ] - ), - "so4_DDF": OrderedDict( - [ - (("so4_DDF",), rename), - ( - ( - "so4_a?DDF", - "so4_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "so4_SFWET": OrderedDict( - [ - (("so4_SFWET",), rename), - ( - ( - "so4_a?SFWET", - "so4_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "so4_CLXF": OrderedDict( - [ - (("so4_CLXF",), rename), - ( - ("so4_a?_CLXF",), - lambda *x: molec_convert_units(sum(x), 115.0), - ), - ] - ), - "SFso4": OrderedDict( - [ - (("SFso4",), rename), - (("SFso4_a?",), lambda *x: sum(x)), - ] - ), - "Mass_so4": OrderedDict( - [ - (("Mass_so4",), rename), - ] - ), - "soa_DDF": OrderedDict( - [ - (("soa_DDF",), rename), - ( - ( - "soa_a?DDF", - "soa_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "soa_SFWET": OrderedDict( - [ - (("soa_SFWET",), rename), - ( - ( - "soa_a?SFWET", - "soa_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFsoa": OrderedDict( - [ - (("SFsoa",), rename), - (("SFsoa_a?",), lambda *x: sum(x)), - ] - ), - "Mass_soa": OrderedDict( - [ - (("Mass_soa",), rename), - ] - ), - "pom_DDF": OrderedDict( - [ - (("pom_DDF",), rename), - ( - ( - "pom_a?DDF", - "pom_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "pom_SFWET": OrderedDict( - [ - (("pom_SFWET",), rename), - ( - ( - "pom_a?SFWET", - "pom_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFpom": OrderedDict( - [ - (("SFpom",), rename), - (("SFpom_a?",), lambda *x: sum(x)), - ] - ), - "pom_CLXF": OrderedDict( - [ - (("pom_CLXF",), rename), - (("pom_a?_CLXF",), lambda *x: molec_convert_units(sum(x), 12.0)), - ] - ), - "Mass_pom": OrderedDict( - [ - (("Mass_pom",), rename), - ] - ), + "TREFMNAV": { + ("TREFMNAV",): lambda t: convert_units(t, target_units="DegC"), + ("tasmin",): lambda t: convert_units(t, target_units="DegC"), + }, + "TREFMXAV": { + ("TREFMXAV",): lambda t: convert_units(t, target_units="DegC"), + ("tasmax",): lambda t: convert_units(t, target_units="DegC"), + }, + "TREF_range": { + ("TREFMXAV", "TREFMNAV"): lambda tmax, tmin: tref_range(tmax, tmin), + ("tasmax", "tasmin"): lambda tmax, tmin: tref_range(tmax, tmin), + }, + "TCO": {("TCO",): rename}, + "SCO": {("SCO",): rename}, + "bc_DDF": { + ("bc_DDF",): rename, + ("bc_a?DDF", "bc_c?DDF"): sum_vars, + }, + "bc_SFWET": { + ("bc_SFWET",): rename, + ("bc_a?SFWET", "bc_c?SFWET"): sum_vars, + }, + "SFbc": { + ("SFbc",): rename, + ("SFbc_a?",): sum_vars, + }, + "bc_CLXF": { + ("bc_CLXF",): rename, + ("bc_a?_CLXF",): lambda x: molec_convert_units(x, 12), + }, + "Mass_bc": {("Mass_bc",): rename}, + "dst_DDF": { + ("dst_DDF",): rename, + ("dst_a?DDF", "dst_c?DDF"): sum_vars, + }, + "dst_SFWET": { + ("dst_SFWET",): rename, + ("dst_a?SFWET", "dst_c?SFWET"): sum_vars, + }, + "SFdst": {("SFdst",): rename, ("SFdst_a?",): sum_vars}, + "Mass_dst": {("Mass_dst",): rename}, + "mom_DDF": { + ("mom_DDF",): rename, + ("mom_a?DDF", "mom_c?DDF"): sum_vars, + }, + "mom_SFWET": { + ("mom_SFWET",): rename, + ("mom_a?SFWET", "mom_c?SFWET"): sum_vars, + }, + "SFmom": {("SFmom",): rename, ("SFmom_a?",): sum_vars}, + "Mass_mom": {("Mass_mom",): rename}, + "ncl_DDF": { + ("ncl_DDF",): rename, + ("ncl_a?DDF", "ncl_c?DDF"): sum_vars, + }, + "ncl_SFWET": { + ("ncl_SFWET",): rename, + ("ncl_a?SFWET", "ncl_c?SFWET"): sum_vars, + }, + "SFncl": {("SFncl",): rename, ("SFncl_a?",): sum_vars}, + "Mass_ncl": {("Mass_ncl",): rename}, + "so4_DDF": { + ("so4_DDF",): rename, + ("so4_a?DDF", "so4_c?DDF"): sum_vars, + }, + "so4_SFWET": { + ("so4_SFWET",): rename, + ("so4_a?SFWET", "so4_c?SFWET"): sum_vars, + }, + "so4_CLXF": { + ("so4_CLXF",): rename, + ("so4_a?_CLXF",): lambda x: molec_convert_units(x, 115.0), + }, + "SFso4": { + ("SFso4",): rename, + ("SFso4_a?",): sum_vars, + }, + "Mass_so4": {("Mass_so4",): rename}, + "soa_DDF": { + ("soa_DDF",): rename, + ("soa_a?DDF", "soa_c?DDF"): sum_vars, + }, + "soa_SFWET": { + ("soa_SFWET",): rename, + ("soa_a?SFWET", "soa_c?SFWET"): sum_vars, + }, + "SFsoa": {("SFsoa",): rename, ("SFsoa_a?",): sum_vars}, + "Mass_soa": {("Mass_soa",): rename}, + "pom_DDF": { + ("pom_DDF",): rename, + ("pom_a?DDF", "pom_c?DDF"): sum_vars, + }, + "pom_SFWET": { + ("pom_SFWET",): rename, + ("pom_a?SFWET", "pom_c?SFWET"): sum_vars, + }, + "SFpom": { + ("SFpom",): rename, + ("SFpom_a?",): sum_vars, + }, + "pom_CLXF": { + ("pom_CLXF",): rename, + ("pom_a?_CLXF",): lambda x: molec_convert_units(x, 12.0), + }, + "Mass_pom": {("Mass_pom",): rename}, # Land variables - "SOILWATER_10CM": OrderedDict([(("mrsos",), rename)]), - "SOILWATER_SUM": OrderedDict([(("mrso",), rename)]), - "SOILICE_SUM": OrderedDict([(("mrfso",), rename)]), + "SOILWATER_10CM": {("mrsos",): rename}, + "SOILWATER_SUM": {("mrso",): rename}, + "SOILICE_SUM": {("mrfso",): rename}, "QRUNOFF": OrderedDict( [ (("QRUNOFF",), lambda qrunoff: qflxconvert_units(qrunoff)), @@ -1279,41 +1061,176 @@ ] ), # Ocean variables - "tauuo": OrderedDict([(("tauuo",), rename)]), - "tos": OrderedDict([(("tos",), rename)]), - "thetaoga": OrderedDict([(("thetaoga",), rename)]), - "hfsifrazil": OrderedDict([(("hfsifrazil",), rename)]), - "sos": OrderedDict([(("sos",), rename)]), - "soga": OrderedDict([(("soga",), rename)]), - "tosga": OrderedDict([(("tosga",), rename)]), - "wo": OrderedDict([(("wo",), rename)]), - "thetao": OrderedDict([(("thetao",), rename)]), - "masscello": OrderedDict([(("masscello",), rename)]), - "wfo": OrderedDict([(("wfo",), rename)]), - "tauvo": OrderedDict([(("tauvo",), rename)]), - "vo": OrderedDict([(("vo",), rename)]), - "hfds": OrderedDict([(("hfds",), rename)]), - "volo": OrderedDict([(("volo",), rename)]), - "uo": OrderedDict([(("uo",), rename)]), - "zos": OrderedDict([(("zos",), rename)]), - "tob": OrderedDict([(("tob",), rename)]), - "sosga": OrderedDict([(("sosga",), rename)]), - "sfdsi": OrderedDict([(("sfdsi",), rename)]), - "zhalfo": OrderedDict([(("zhalfo",), rename)]), - "masso": OrderedDict([(("masso",), rename)]), - "so": OrderedDict([(("so",), rename)]), - "sob": OrderedDict([(("sob",), rename)]), - "mlotst": OrderedDict([(("mlotst",), rename)]), - "fsitherm": OrderedDict([(("fsitherm",), rename)]), - "msftmz": OrderedDict([(("msftmz",), rename)]), + "tauuo": {("tauuo",): rename}, + "tos": {("tos",): rename}, + "thetaoga": {("thetaoga",): rename}, + "hfsifrazil": {("hfsifrazil",): rename}, + "sos": {("sos",): rename}, + "soga": {("soga",): rename}, + "tosga": {("tosga",): rename}, + "wo": {("wo",): rename}, + "thetao": {("thetao",): rename}, + "masscello": {("masscello",): rename}, + "wfo": {("wfo",): rename}, + "tauvo": {("tauvo",): rename}, + "vo": {("vo",): rename}, + "hfds": {("hfds",): rename}, + "volo": {("volo",): rename}, + "uo": {("uo",): rename}, + "zos": {("zos",): rename}, + "tob": {("tob",): rename}, + "sosga": {("sosga",): rename}, + "sfdsi": {("sfdsi",): rename}, + "zhalfo": {("zhalfo",): rename}, + "masso": {("masso",): rename}, + "so": {("so",): rename}, + "sob": {("sob",): rename}, + "mlotst": {("mlotst",): rename}, + "fsitherm": {("fsitherm",): rename}, + "msftmz": {("msftmz",): rename}, # sea ice variables - "sitimefrac": OrderedDict([(("sitimefrac",), rename)]), - "siconc": OrderedDict([(("siconc",), rename)]), - "sisnmass": OrderedDict([(("sisnmass",), rename)]), - "sisnthick": OrderedDict([(("sisnthick",), rename)]), - "simass": OrderedDict([(("simass",), rename)]), - "sithick": OrderedDict([(("sithick",), rename)]), - "siu": OrderedDict([(("siu",), rename)]), - "sitemptop": OrderedDict([(("sitemptop",), rename)]), - "siv": OrderedDict([(("siv",), rename)]), + "sitimefrac": {("sitimefrac",): rename}, + "siconc": {("siconc",): rename}, + "sisnmass": {("sisnmass",): rename}, + "sisnthick": {("sisnthick",): rename}, + "simass": {("simass",): rename}, + "sithick": {("sithick",): rename}, + "siu": {("siu",): rename}, + "sitemptop": {("sitemptop",): rename}, + "siv": {("siv",): rename}, } + + +# Names of 2D aerosol burdens, including cloud-borne aerosols +aero_burden_list = [ + "ABURDENDUST", + "ABURDENSO4", + "ABURDENSO4_STR", + "ABURDENSO4_TRO", + "ABURDENPOM", + "ABURDENMOM", + "ABURDENSOA", + "ABURDENBC", + "ABURDENSEASALT", +] + +# Add burden vars to DERIVED_VARIABLES +for aero_burden_item in aero_burden_list: + DERIVED_VARIABLES[f"_{aero_burden_item}"] = OrderedDict( + [((aero_burden_item,), aero_burden_fxn)] + ) + + +# Names of 2D mass slices of aerosol species +# Also add 3D masses while at it (if available) +aero_mass_list = [] +for aero_name in ["dst", "mom", "pom", "so4", "soa", "ncl", "bc"]: + for aero_lev in ["_srf", "_200", "_330", "_500", "_850", ""]: + # Note that the empty string (last entry) will get the 3D mass fields + aero_mass_list.append(f"Mass_{aero_name}{aero_lev}") + + +# Add burden vars to DERIVED_VARIABLES +for aero_mass_item in aero_mass_list: + DERIVED_VARIABLES[f"_{aero_mass_item}"] = OrderedDict( + [((aero_mass_item,), aero_mass_fxn)] + ) + +# Add all the output_aerocom_aie.F90 variables to aero_rename_list +# components/eam/src/physics/cam/output_aerocom_aie.F90 +aero_aerocom_list = [ + "angstrm", + "aerindex", + "cdr", + "cdnc", + "cdnum", + "icnum", + "clt", + "lcc", + "lwp", + "iwp", + "icr", + "icc", + "cod", + "ccn", + "ttop", + "htop", + "ptop", + "autoconv", + "accretn", + "icnc", + "rh700", + "rwp", + "intccn", + "colrv", + "lwp2", + "iwp2", + "lwpbf", + "iwpbf", + "cdnumbf", + "icnumbf", + "aod400", + "aod700", + "colccn.1", + "colccn.3", + "ccn.1bl", + "ccn.3bl", +] + +# Add aerocom vars to DERIVED_VARIABLES +for aero_aerocom_item in aero_aerocom_list: + DERIVED_VARIABLES[aero_aerocom_item] = OrderedDict([((aero_aerocom_item,), rename)]) + +# add cdnc, icnc, lwp, iwp to DERIVED_VARIABLES +DERIVED_VARIABLES.update( + { + "in_cloud_cdnc": {("cdnc", "lcc"): incldtop_cdnc}, + "in_grid_cdnc": {("cdnc",): cldtop_cdnc}, + "in_cloud_icnc": {("icnc", "icc"): incldtop_icnc}, + "in_grid_icnc": {("icnc",): cldtop_icnc}, + "in_cloud_lwp": {("lwp", "lcc"): incld_lwp}, + "in_grid_lwp": {("lwp",): cld_lwp}, + "in_cloud_iwp": {("iwp", "icc"): incld_iwp}, + "in_grid_iwp": {("iwp",): cld_iwp}, + } +) + + +DERIVED_VARIABLES.update( + { + "ERFtot": {("FSNT", "FLNT"): erf_tot}, + "ERFari": {("FSNT", "FLNT", "FSNT_d1", "FLNT_d1"): erf_ari}, + "ERFaci": {("FSNT_d1", "FLNT_d1", "FSNTC_d1", "FLNTC_d1"): erf_aci}, + "ERFres": {("FSNTC_d1", "FLNTC_d1"): erf_res}, + } +) + +# Add more AOD terms +# Note that AODVIS and AODDUST are already added elsewhere +aero_aod_list = [ + "AODBC", + "AODPOM", + "AODMOM", + "AODSO4", + "AODSO4_STR", + "AODSO4_TRO", + "AODSS", + "AODSOA", +] + +# Add aod vars to DERIVED_VARIABLES +for aero_aod_item in aero_aod_list: + DERIVED_VARIABLES[aero_aod_item] = {(aero_aod_item,): rename} + +# Add 3D variables related to aerosols and chemistry +# Note that O3 is already added above +# Note that 3D mass vars are already added by the empty string above "" +# Note that it is possible to create on-the-fly slices from these variables with +# a function of the form: +# def aero_3d_slice(var, lev): +# return var[lev, :, :] +aero_chem_list = ["DMS", "H2O2", "H2SO4", "NO3", "OH", "SO2"] + +# Add aero/chem vars to DERIVED_VARIABLES +for aero_chem_item in aero_chem_list: + DERIVED_VARIABLES[aero_chem_item] = {(aero_chem_item,): rename} diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index 5bdb11dec..f1b5e3b45 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -5,6 +5,8 @@ the arithmetic should be wrapped with `with xr.set_options(keep_attrs=True)` to keep attributes on the resultant `xr.DataArray`. """ +from typing import List + import numpy as np import xarray as xr @@ -13,6 +15,31 @@ AVOGADRO_CONST = 6.022e23 +def sum_vars(vars: List[xr.DataArray]) -> xr.DataArray: + """Sum DataArrays using Python's `.sum()` and preserve attrs. + + Pythons sum iterates over the iterable (the list of DataArrays) and + adds all elements, which is different from NumPy which performs a sum + reduction over an axis/axes. This function ensures the DataArray attributes + are perserved by invoking the `.sum()` call within the context of + `xr.set_options()`. + + Parameters + ---------- + vars : List[xr.DataArray] + A list of variables. + + Returns + ------- + xr.DataArray + The sum of the variables + """ + with xr.set_options(keep_attrs=True): + result: xr.DataArray = sum(vars) # type: ignore + + return result + + def qflxconvert_units(var: xr.DataArray): if ( var.attrs["units"] == "kg/m2/s" @@ -72,12 +99,29 @@ def w_convert_q(var: xr.DataArray): return var -def molec_convert_units(var: xr.DataArray, molar_weight: float): +def molec_convert_units(vars: List[xr.DataArray], molar_weight: float) -> xr.DataArray: + """Sum the list of variables and convert the molecular units. + + Parameters + ---------- + vars : List[xr.DataArray] + The list of variables. + molar_weight : float + The molar weight to use for the conversion. + + Returns + ------- + xr.DataArray + The final result. + """ + result = sum_vars(vars) + # Convert molec/cm2/s to kg/m2/s - if var.attrs["units"] == "molec/cm2/s": - var = var / AVOGADRO_CONST * molar_weight * 10.0 - var.attrs["units"] == "kg/m2/s" - return var + if result.attrs["units"] == "molec/cm2/s": + result = result / AVOGADRO_CONST * molar_weight * 10.0 + result.attrs["units"] = "kg/m2/s" + + return result def qflx_convert_to_lhflx( @@ -474,3 +518,357 @@ def _replace_inf_with_nan(var: xr.DataArray) -> xr.DataArray: var_new = xr.where(var != np.inf, var, np.nan, keep_attrs=True) return var_new + + +def aero_burden_fxn(var: xr.DataArray) -> xr.DataArray: + """Scale the aerosol burden by 1e6. + + Parameters + ---------- + var : xr.DataArray + The input burden in kg/m2. + + Returns + ------- + xr.DataArray + The output burden in 1e-6 kg/m2. + """ + with xr.set_options(keep_attrs=True): + burden = var * 1e6 + + burden.attrs["units"] = "1e-6 kg/m2" + + return burden + + +def aero_mass_fxn(var: xr.DataArray) -> xr.DataArray: + """Scale the given mass by 1e12. + + Parameters + ---------- + var : xr.DataArray + The input mass in kg/kg. + + Returns + ------- + xr.DataArray + The aerosol mass concentration in 1e-12 kg/kg units. + """ + with xr.set_options(keep_attrs=True): + mass = var * 1e12 + + mass.attrs["units"] = "1e-12 kg/kg" + + return mass + + +def incldtop_cdnc(cdnc: xr.DataArray, lcc: xr.DataArray) -> xr.DataArray: + """Return the in-cloud cloud droplet number concentration at cloud top. + + Parameters + ---------- + cdnc : xr.DataArray + Cloud droplet number concentration in 1/m3. + lcc : xr.DataArray + Liquid cloud fraction. + + Returns + ------- + xr.DataArray + In-cloud cdnc at cloud top in 1/cm3. + """ + with xr.set_options(keep_attrs=True): + var = cdnc * 1e-6 / lcc + + var.attrs["units"] = "1/cm3" + var.attrs["long_name"] = "In-cloud-top CDNC" + + return var + + +def cldtop_cdnc(cdnc: xr.DataArray) -> xr.DataArray: + """Return the in-grid cloud droplet number concentration at cloud top. + + Parameters + ---------- + cdnc : xr.DataArray + Cloud droplet number concentration in 1/m3. + + Returns + ------- + xr.DataArray + In-grid cdnc at cloud top in 1/cm3. + """ + with xr.set_options(keep_attrs=True): + var = cdnc * 1e-6 + + var.attrs["units"] = "1/cm3" + var.attrs["long_name"] = "In-grid cloud-top CDNC" + + return var + + +def incldtop_icnc(icnc: xr.DataArray, icc: xr.DataArray) -> xr.DataArray: + """Return the in-cloud ice crystal number concentration at cloud top. + + Parameters + ---------- + icnc : xr.DataArray + Ice crystal number concentration in 1/m3. + icc : xr.DataArray + ice cloud fraction. + + Returns + ------- + xr.DataArray + In-cloud cdnc at cloud top in 1/cm3. + """ + with xr.set_options(keep_attrs=True): + var = icnc * 1e-6 / icc + + var.attrs["units"] = "1/cm3" + var.attrs["long_name"] = "In-cloud-top ICNC" + + return var + + +def cldtop_icnc(icnc: xr.DataArray) -> xr.DataArray: + """Return the in-grid ice crystal number concentration at cloud top. + + Parameters + ---------- + icnc : xr.DataArray + Cloud crystal number concentration in 1/m3. + + Returns + ------- + xr.DataArray + In-grid icnc at cloud top in 1/cm3. + """ + with xr.set_options(keep_attrs=True): + var = icnc * 1e-6 + + var.attrs["units"] = "1/cm3" + var.attrs["long_name"] = "In-grid cloud-top ICNC" + + return var + + +def incld_lwp(lwp: xr.DataArray, lcc: xr.DataArray) -> xr.DataArray: + """Return the in-cloud liquid water path (LWP). + + Parameters + ---------- + lwp : xr.DataArray + Liquid water path in kg/m2. + lcc : xr.DataArray + Liquid cloud fraction. + + Returns + ------- + xr.DataArray + In-cloud liquid water path in g/cm3. + """ + with xr.set_options(keep_attrs=True): + var = 1e3 * lwp / lcc + + var.attrs["units"] = "g/cm3" + var.attrs["long_name"] = "In-cloud LWP" + + return var + + +def cld_lwp(lwp: xr.DataArray) -> xr.DataArray: + """Return the grid-mean-cloud LWP in g/cm3. + + Parameters + ---------- + lwp : xr.DataArray + Liquid Water Path (LWP) value. + + Returns + ------- + xr.DataArray + Grid-mean-cloud LWP in g/cm3. + """ + with xr.set_options(keep_attrs=True): + var = 1e3 * lwp + + var.attrs["units"] = "g/cm3" + var.attrs["long_name"] = "In-grid LWP" + + return var + + +def incld_iwp(iwp: xr.DataArray, icc: xr.DataArray) -> xr.DataArray: + """Return the in-cloud ice water path (IWP). + + Parameters + ---------- + iwp : xr.DataArray + Ice water path in kg/m2. + icc : xr.DataArray + Ice cloud fraction. + + Returns + ------- + xr.DataArray + In-cloud IWP in g/cm3. + """ + with xr.set_options(keep_attrs=True): + var = 1e3 * iwp / icc + + var.attrs["units"] = "g/cm3" + var.attrs["long_name"] = "In-cloud IWP" + + return var + + +def cld_iwp(iwp: xr.DataArray) -> xr.DataArray: + """Return the in-grid ice water path (IWP). + + Parameters + ---------- + iwp : xr.DataArray + Ice water path in kg/m2. + + Returns + ------- + xr.DataArray + In-grid IWP in g/cm3. + """ + with xr.set_options(keep_attrs=True): + var = 1e3 * iwp + + var.attrs["units"] = "g/cm3" + var.attrs["long_name"] = "In-grid IWP" + + return var + + +def erf_tot(fsnt: xr.DataArray, flnt: xr.DataArray) -> xr.DataArray: + """ + Calculate the total effective radiative forcing (ERFtot). + + Parameters + ---------- + fsnt : xr.DataArray + The incoming sw radiation at the top of the atmosphere. + flnt : xr.DataArray + The outgoing lw radiation at the top of the atmosphere. + + Returns + ------- + xr.DataArray + The ERFtot which represents the total erf. + + See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 + """ + with xr.set_options(keep_attrs=True): + var = fsnt - flnt + + var.attrs["units"] = "W/m2" + var.attrs["long_name"] = "ERFtot: total effect" + return var + + +def erf_ari( + fsnt: xr.DataArray, flnt: xr.DataArray, fsnt_d1: xr.DataArray, flnt_d1: xr.DataArray +) -> xr.DataArray: + """ + Calculate aerosol--radiation interactions (ARI) part of effective radiative forcing (ERF). + + Parameters + ---------- + fsnt : xr.DataArray + Net solar flux at the top of the atmosphere. + flnt : xr.DataArray + Net longwave flux at the top of the atmosphere. + fsnt_d1 : xr.DataArray + fsnt without aerosols. + flnt_d1 : xr.DataArray + flnt without aerosols. + + Returns + ------- + xr.DataArray + ERFari (aka, direct effect) in W/m2. + + See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 + """ + with xr.set_options(keep_attrs=True): + var = (fsnt - flnt) - (fsnt_d1 - flnt_d1) + + var.attrs["units"] = "W/m2" + var.attrs["long_name"] = "ERFari: direct effect" + + return var + + +def erf_aci( + fsnt_d1: xr.DataArray, + flnt_d1: xr.DataArray, + fsntc_d1: xr.DataArray, + flntc_d1: xr.DataArray, +) -> xr.DataArray: + """ + Calculate aerosol--cloud interactions (ACI) part of effectie radiative forcing (ERF) + + Parameters + ---------- + fsnt_d1 : xr.DataArray + Downward shortwave radiation toa without aerosols. + flnt_d1 : xr.DataArray + Upward longwave radiation toa without aerosols. + fsntc_d1 : xr.DataArray + fsnt_d1 without clouds. + flntc_d1 : xr.DataArray + flnt_d1 without clouds. + + Returns + ------- + xr.DataArray + ERFaci (aka, indirect effect) in W/m2. + + Notes + ----- + See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 + """ + with xr.set_options(keep_attrs=True): + var = (fsnt_d1 - flnt_d1) - (fsntc_d1 - flntc_d1) + + var.attrs["units"] = "W/m2" + var.attrs["long_name"] = "ERFaci: indirect effect" + + return var + + +def erf_res(fsntc_d1: xr.DataArray, flntc_d1: xr.DataArray) -> xr.DataArray: + """ + Calculate the residual effect (RES) part of effective radiative forcin g. + + Parameters + ---------- + fsntc_d1 : xr.DataArray + Downward solar radiation at the top of the atmosphere with neither + clouds nor aerosols. + flntc_d1 : xr.DataArray + Upward longwave radiation at the top of the atmosphere with neither + clouds nor aerosols. + + Returns + ------- + xr.DataArray + ERFres (aka, surface effect) in W/m2. + + Notes + ----- + See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 + """ + with xr.set_options(keep_attrs=True): + var = fsntc_d1 - flntc_d1 + + var.attrs["units"] = "W/m2" + var.attrs["long_name"] = "ERFres: residual effect" + + return var diff --git a/e3sm_diags/driver/aerosol_aeronet_driver.py b/e3sm_diags/driver/aerosol_aeronet_driver.py index f185d979a..92643f812 100644 --- a/e3sm_diags/driver/aerosol_aeronet_driver.py +++ b/e3sm_diags/driver/aerosol_aeronet_driver.py @@ -10,7 +10,6 @@ from scipy import interpolate import e3sm_diags -from e3sm_diags.driver import utils from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.logger import custom_logger from e3sm_diags.metrics.metrics import spatial_avg @@ -68,9 +67,7 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: if run_type == "model_vs_model": ref_ds = Dataset(parameter, data_type="ref") - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_ds, season - ) + parameter.ref_name_yrs = ref_ds.get_name_yrs_attr(season) ds_ref = ref_ds.get_climo_dataset(var_key, season) ref_site_arr = interpolate_model_output_to_obs_sites( diff --git a/e3sm_diags/driver/aerosol_budget_driver.py b/e3sm_diags/driver/aerosol_budget_driver.py index 9ab50cd02..2c7bff71e 100644 --- a/e3sm_diags/driver/aerosol_budget_driver.py +++ b/e3sm_diags/driver/aerosol_budget_driver.py @@ -1,114 +1,38 @@ +""" +This aerosol budget set is requested by the E3SM Aerosol Working Group. The +script is integrated in e3sm_diags by Jill Zhang, with input from Kai Zhang, +Taufiq Hassan, Xue Zheng, Ziming Ke, Susannah Burrows, and Naser Mahfouz. +""" from __future__ import annotations import csv import json import os -from typing import TYPE_CHECKING # , Optional +from typing import TYPE_CHECKING + +import numpy as np +import xarray as xr +import xcdat as xc import e3sm_diags -from e3sm_diags.driver import utils +from e3sm_diags.driver.utils.climo_xr import ClimoFreq +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.regrid import _hybrid_to_pressure +from e3sm_diags.driver.utils.type_annotations import MetricsDict +from e3sm_diags.logger import custom_logger if TYPE_CHECKING: from e3sm_diags.parameter.core_parameter import CoreParameter -import cdutil -import numpy - -from e3sm_diags.logger import custom_logger logger = custom_logger(__name__) -# This aerosol budget set is requested by the E3SM Aerosol Working Group. The script is integrated in e3sm_diags by Jill Zhang, with input from Kai Zhang, Taufiq Hassan, Xue Zheng, Ziming Ke, Susannah Burrows, and Naser Mahfouz. - - -def global_integral(var, area_m2): - """Compute global integral of 2 dimentional properties""" - return numpy.sum(numpy.sum(abs(var) * area_m2, axis=0), axis=0) - - -def calc_column_integral(data, aerosol, season): - """Calculate column integrated mass""" - - # take aerosol and change it to the appropriate string - # ncl -> SEASALT, dst -> DUST, rest1 -> REST1 - # only needed if ABURDEN terms are available - if aerosol == "ncl": - aerosol_name = "SEASALT" - elif aerosol == "dst": - aerosol_name = "DUST" - else: - aerosol_name = aerosol.upper() - try: - # if ABURDEN terms are available, use them - burden = data.get_climo_variable(f"ABURDEN{aerosol_name}", season) - if burden.units != "kg/m2": - raise RuntimeError( - f"ERROR in aerosol_budget_driver/calc_column_integral!" - f"ABURDEN{aerosol_name} at season {season} has units {burden.units}." - f"But kg/m2 units were expected." - ) - except RuntimeError: - # if not, use the Mass_ terms and integrate over the column - mass = data.get_climo_variable(f"Mass_{aerosol}", season) - if mass.units != "kg/kg": - raise RuntimeError( - f"ERROR in aerosol_budget_driver/calc_column_integral!" - f"Mass_{aerosol} at season {season} has units {mass.units}." - f"But kg/kg units were expected." - ) - hyai, hybi, ps = data.get_extra_variables_only( - f"Mass_{aerosol}", season, extra_vars=["hyai", "hybi", "PS"] - ) - - p0 = 100000.0 # Pa - ps = ps # Pa - pressure_levs = cdutil.vertical.reconstructPressureFromHybrid( - ps, hyai, hybi, p0 - ) - - # (72,lat,lon) - delta_p = numpy.diff(pressure_levs, axis=0) - mass_3d = mass * delta_p / 9.8 # mass density * mass air kg/m2 - burden = numpy.nansum(mass_3d, axis=0) # kg/m2 - return burden +# km units +REARTH = 6.37122e6 +# kg/s to Tg/yr units. +UNITS_CONV = 86400.0 * 365.0 * 1e-9 - -def generate_metrics_dic(data, aerosol, season): - metrics_dict = {} - wetdep = data.get_climo_variable(f"{aerosol}_SFWET", season) - drydep = data.get_climo_variable(f"{aerosol}_DDF", season) - srfemis = data.get_climo_variable(f"SF{aerosol}", season) - if aerosol in ["bc", "pom", "so4"]: - elvemis = data.get_climo_variable(f"{aerosol}_CLXF", season) - area = data.get_extra_variables_only(f"{aerosol}_DDF", season, extra_vars=["area"]) - area_m2 = area * REARTH**2 - - burden = calc_column_integral(data, aerosol, season) - burden_total = global_integral(burden, area_m2) * 1e-9 # kg to Tg - sink = global_integral((drydep - wetdep), area_m2) * UNITS_CONV - drydep = global_integral(drydep, area_m2) * UNITS_CONV - wetdep = global_integral(wetdep, area_m2) * UNITS_CONV - srfemis = global_integral(srfemis, area_m2) * UNITS_CONV - if aerosol in ["bc", "pom", "so4"]: - elvemis = global_integral(elvemis, area_m2) * UNITS_CONV - else: - elvemis = 0.0 - metrics_dict = { - "Surface Emission (Tg/yr)": f"{srfemis:.2f}", - "Elevated Emission (Tg/yr)": f"{elvemis:.2f}", - "Sink (Tg/yr)": f"{sink:.2f}", - "Dry Deposition (Tg/yr)": f"{drydep:.2f}", - "Wet Deposition (Tg/yr)": f"{wetdep:.2f}", - "Burden (Tg)": f"{burden_total:.2f}", - "Lifetime (Days)": f"{burden_total/sink*365:.2f}", - } - return metrics_dict - - -REARTH = 6.37122e6 # km -UNITS_CONV = 86400.0 * 365.0 * 1e-9 # kg/s to Tg/yr - -# species = ["bc", "dst", "mom", "ncl", "pom", "so4", "soa"] SPECIES_NAMES = { "bc": "Black Carbon", "dst": "Dust", @@ -122,13 +46,22 @@ def generate_metrics_dic(data, aerosol, season): def run_diag(parameter: CoreParameter) -> CoreParameter: - """Runs the aerosol aeronet diagnostic. - - :param parameter: Parameters for the run - :type parameter: CoreParameter - :raises ValueError: Invalid run type - :return: Parameters for the run - :rtype: CoreParameter + """Run the aerosol budget diagnostics. + + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. + + Returns + ------- + CoreParameter + The parameter for the diagnostic with the result (completed or failed). + + Raises + ------ + ValueError + If the run type is not valid. """ variables = parameter.variables[0].split(", ") run_type = parameter.run_type @@ -137,79 +70,204 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: for season in seasons: metrics_dict_test = {} metrics_dict_ref = {} - test_data = utils.dataset.Dataset(parameter, test=True) - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) + test_ds = Dataset(parameter, data_type="test") + parameter.test_name_yrs = test_ds.get_name_yrs_attr(season) parameter.ref_name_yrs = "Aerosol Global Benchmarks (Present Day)" for aerosol in variables: logger.info("Variable: {}".format(aerosol)) - metrics_dict_test[aerosol] = generate_metrics_dic( - test_data, aerosol, season - ) + metrics_dict_test[aerosol] = _create_metrics_dict(test_ds, aerosol, season) + + if run_type == "model_vs_model": + ref_ds = Dataset(parameter, data_type="ref") + parameter.ref_name_yrs = ref_ds.get_name_yrs_attr(season) + + for aerosol in variables: + metrics_dict_ref[aerosol] = _create_metrics_dict( + ref_ds, aerosol, season + ) + + elif run_type == "model_vs_obs": + parameter.ref_name = parameter.ref_name_yrs + ref_data_path = os.path.join( + e3sm_diags.INSTALL_PATH, + "control_runs", + "aerosol_global_metrics_benchmarks.json", + ) + + with open(ref_data_path, "r") as myfile: + ref_file = myfile.read() + + metrics_ref = json.loads(ref_file) - if run_type == "model_vs_model": - ref_data = utils.dataset.Dataset(parameter, ref=True) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season + for aerosol in variables: + metrics_dict_ref[aerosol] = metrics_ref[aerosol] + else: + raise ValueError("Invalid run_type={}".format(run_type)) + + parameter.output_file = f"{parameter.test_name}-{season}-budget-table" + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + parameter.output_file + ".csv", ) - for aerosol in variables: - metrics_dict_ref[aerosol] = generate_metrics_dic( - ref_data, aerosol, season + + with open(fnm, "w") as table_csv: + writer = csv.writer( + table_csv, + delimiter=",", + quotechar="'", + quoting=csv.QUOTE_MINIMAL, + lineterminator="\n", ) + writer.writerow([f"Test: {parameter.test_name_yrs}"]) + writer.writerow([f"Ref: {parameter.ref_name_yrs}"]) + writer.writerow([" ", "Test", "Ref"]) - elif run_type == "model_vs_obs": - parameter.ref_name = parameter.ref_name_yrs - ref_data_path = os.path.join( - e3sm_diags.INSTALL_PATH, - "control_runs", - "aerosol_global_metrics_benchmarks.json", - ) + for key, values in metrics_dict_test.items(): + writer.writerow([SPECIES_NAMES[key]]) - with open(ref_data_path, "r") as myfile: - ref_file = myfile.read() + for value in values: + line = [] + line.append(value) + line.append(values[value]) # type: ignore + line.append(metrics_dict_ref[key][value]) # type: ignore + writer.writerows([line]) - metrics_ref = json.loads(ref_file) + writer.writerows([""]) - for aerosol in variables: - metrics_dict_ref[aerosol] = metrics_ref[aerosol] - else: - raise ValueError("Invalid run_type={}".format(run_type)) + logger.info(f"Metrics saved in {fnm}") - parameter.output_file = f"{parameter.test_name}-{season}-budget-table" - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".csv", - ) + return parameter - with open(fnm, "w") as table_csv: - writer = csv.writer( - table_csv, - delimiter=",", - quotechar="'", - quoting=csv.QUOTE_MINIMAL, - lineterminator="\n", - ) - writer.writerow([f"Test: {parameter.test_name_yrs}"]) - writer.writerow([f"Ref: {parameter.ref_name_yrs}"]) - writer.writerow( - [ - " ", - "Test", - "Ref", - ] + +def _create_metrics_dict( + ds_test: Dataset, aerosol: str, season: ClimoFreq +) -> MetricsDict: + wetdep = ds_test.get_climo_dataset(f"{aerosol}_SFWET", season)[f"{aerosol}_SFWET"] + drydep = ds_test.get_climo_dataset(f"{aerosol}_DDF", season)[f"{aerosol}_DDF"] + srfemis = ds_test.get_climo_dataset(f"SF{aerosol}", season)[f"SF{aerosol}"] + area = ds_test.get_climo_dataset(f"{aerosol}_DDF", season)["area"] + + area_m2 = area * REARTH**2 + + burden = _calc_column_integral(ds_test, aerosol, season) + # Convert kg to Tg. + burden_total = global_integral(burden, area_m2) * 1e-9 + + srfemis_gi = global_integral(srfemis, area_m2) * UNITS_CONV + sink_gi = global_integral((drydep - wetdep), area_m2) * UNITS_CONV + drydep_gi = global_integral(drydep, area_m2) * UNITS_CONV + wetdep_gi = global_integral(wetdep, area_m2) * UNITS_CONV + + if aerosol in ["bc", "pom", "so4"]: + var_key = f"{aerosol}_CLXF" + elvemis = ds_test.get_climo_dataset(var_key, season)[var_key] + + elvemis_gi = global_integral(elvemis, area_m2) * UNITS_CONV + else: + elvemis_gi = 0.0 + + metrics_dict: MetricsDict = { + "Surface Emission (Tg/yr)": f"{srfemis_gi:.2f}", + "Elevated Emission (Tg/yr)": f"{elvemis_gi:.2f}", + "Sink (Tg/yr)": f"{sink_gi:.2f}", + "Dry Deposition (Tg/yr)": f"{drydep_gi:.2f}", + "Wet Deposition (Tg/yr)": f"{wetdep_gi:.2f}", + "Burden (Tg)": f"{burden_total:.2f}", + "Lifetime (Days)": f"{burden_total/sink_gi*365:.2f}", + } + + return metrics_dict + + +def _calc_column_integral( + test_ds: Dataset, aerosol: str, season: ClimoFreq +) -> xr.DataArray: + """Calculate column integrated mass + + Take aerosol and change it to the appropriate string. + - ncl -> SEASALT, dst -> DUST, rest1 -> REST1 + - only needed if ABURDEN terms are available + + Parameters + ---------- + test_ds : Dataset + The e3sm_diags test dataset object. + aerosol : str + The aerosol key. + season : ClimoFreq. + The climo season. + + Returns + ------- + xr.DataArray + The column integrated mass. + """ + if aerosol == "ncl": + aerosol_name = "SEASALT" + elif aerosol == "dst": + aerosol_name = "DUST" + else: + aerosol_name = aerosol.upper() + + try: + # if ABURDEN terms are available, use them + var_key = f"ABURDEN{aerosol_name}" + burden = test_ds.get_climo_dataset(var_key, season)[var_key] + except IOError: + # if not, use the Mass_ terms and integrate over the column + var_key = f"Mass_{aerosol}" + ds_mass = test_ds.get_climo_dataset(var_key, season) + mass = ds_mass[var_key] + + if mass.attrs["units"] != "kg/kg": + raise RuntimeError( + f"ERROR in aerosol_budget_driver/calc_column_integral!" + f"Mass_{aerosol} at season {season} has units {mass.units}." + f"But kg/kg units were expected." ) - for key, values in metrics_dict_test.items(): - writer.writerow([SPECIES_NAMES[key]]) - for value in values: - line = [] - line.append(value) - line.append(values[value]) - line.append(metrics_dict_ref[key][value]) - writer.writerows([line]) - writer.writerows([""]) - logger.info(f"Metrics saved in {fnm}") + pressure_levs = _hybrid_to_pressure( + ds_mass, var_key, p0=100000.0, a_key="hyai", b_key="hybi" + ) + # Preserve the original units. + pressure_levs.attrs["units"] = ds_mass[var_key].attrs["units"] - return parameter + # (72,lat,lon) + plev_key = xc.get_dim_keys(pressure_levs, axis="Z") + delta_p = pressure_levs.diff(plev_key) + + # Perform numpy index-based arithmetic instead of xarray label-based + # arithmetic because the Z dims of `mass` and `delta_p` can have + # different names ("lev" vs. "ilev") with slightly different values. The + # CDAT version of this code uses numpy index-based arithmetic too. + with xr.set_options(keep_attrs=True): + # mass density * mass air kg/m2 + mass_3d = mass.copy() + mass_3d.values = mass.values * delta_p.values / 9.8 + + # kg/m2 + lev_key = xc.get_dim_keys(mass_3d, axis="Z") + burden = mass_3d.sum(dim=lev_key, keep_attrs=True) + + return burden + + +def global_integral(var: xr.DataArray, area_m2: xr.DataArray) -> float: + """Compute global integral of 2 dimensional properties + + Parameters + ---------- + var : xr.DataArray + The variable. + area_m2 : xr.DataArray + The area in m2 units. + + Returns + ------- + float + The global integral of 2 dimensional properities + """ + result = np.sum(np.sum(abs(var) * area_m2, axis=0), axis=0) + + return result diff --git a/e3sm_diags/driver/utils/climo_xr.py b/e3sm_diags/driver/utils/climo_xr.py index 50599b5a4..3dfe2b886 100644 --- a/e3sm_diags/driver/utils/climo_xr.py +++ b/e3sm_diags/driver/utils/climo_xr.py @@ -17,7 +17,7 @@ # A type annotation and list representing accepted climatology frequencies. # Accepted frequencies include the month integer and season string. -CLIMO_FREQ = Literal[ +ClimoFreq = Literal[ "01", "02", "03", @@ -36,7 +36,7 @@ "JJA", "SON", ] -CLIMO_FREQS = get_args(CLIMO_FREQ) +CLIMO_FREQS = get_args(ClimoFreq) # A dictionary that maps climatology frequencies to the appropriate cycle # for grouping. @@ -59,7 +59,7 @@ } # A dictionary mapping climatology frequencies to their indexes for grouping # coordinate points for weighted averaging. -FREQ_IDX_MAP: Dict[CLIMO_FREQ, List[int]] = { +FREQ_IDX_MAP: Dict[ClimoFreq, List[int]] = { "01": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "02": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], "03": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], @@ -80,7 +80,7 @@ } -def climo(dataset: xr.Dataset, var_key: str, freq: CLIMO_FREQ): +def climo(dataset: xr.Dataset, var_key: str, freq: ClimoFreq): """Computes a variable's climatology for the given frequency. Parameters @@ -98,10 +98,10 @@ def climo(dataset: xr.Dataset, var_key: str, freq: CLIMO_FREQ): The variable's climatology. """ # Get the frequency's cycle index map and number of cycles. - if freq not in get_args(CLIMO_FREQ): + if freq not in get_args(ClimoFreq): raise ValueError( f"`freq='{freq}'` is not a valid climatology frequency. Options " - f"include {get_args(CLIMO_FREQ)}'" + f"include {get_args(ClimoFreq)}'" ) # Time coordinates are centered (if they aren't already) for more robust diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 68d417955..17cc29577 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -28,7 +28,7 @@ DerivedVariablesMap, ) from e3sm_diags.driver import LAND_FRAC_KEY, LAND_OCEAN_MASK_PATH, OCEAN_FRAC_KEY -from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQ, CLIMO_FREQS, climo +from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQS, ClimoFreq, climo from e3sm_diags.logger import custom_logger if TYPE_CHECKING: @@ -92,6 +92,13 @@ def __init__( if self.parameter.sets[0] in ["diurnal_cycle", "arm_diags"]: self.is_sub_monthly = True + # A boolean to keep track of whether the source variable(s) for a + # target variable contains a wildcard ("?"). This is used to determine + # whether to pass a list of wildcard variables as args to derived + # variable function (True), or to unpack an expected number of variables + # as args to a derived variable function (False). + self.is_src_vars_wildcard = False + @property def is_time_series(self): if self.parameter.ref_timeseries_input or self.parameter.test_timeseries_input: @@ -135,7 +142,7 @@ def _get_derived_vars_map(self) -> DerivedVariablesMap: # Attribute related methods # -------------------------------------------------------------------------- - def get_name_yrs_attr(self, season: CLIMO_FREQ | None = None) -> str: + def get_name_yrs_attr(self, season: ClimoFreq | None = None) -> str: """Get the diagnostic name and 'yrs_averaged' attr as a single string. This method is used to update either `parameter.test_name_yrs` or @@ -234,7 +241,7 @@ def _get_ref_name(self) -> str: return self.parameter.ref_name def _get_global_attr_from_climo_dataset( - self, attr: str, season: CLIMO_FREQ + self, attr: str, season: ClimoFreq ) -> str | None: """Get the global attribute from the climo file based on the season. @@ -266,7 +273,7 @@ def _get_global_attr_from_climo_dataset( # Climatology related methods # -------------------------------------------------------------------------- def get_ref_climo_dataset( - self, var_key: str, season: CLIMO_FREQ, ds_test: xr.Dataset + self, var_key: str, season: ClimoFreq, ds_test: xr.Dataset ): """Get the reference climatology dataset for the variable and season. @@ -318,7 +325,7 @@ def get_ref_climo_dataset( return ds_ref - def get_climo_dataset(self, var: str, season: CLIMO_FREQ) -> xr.Dataset: + def get_climo_dataset(self, var: str, season: ClimoFreq) -> xr.Dataset: """Get the dataset containing the climatology variable. These variables can either be from the test data or reference data. @@ -696,6 +703,8 @@ def _get_matching_climo_src_vars( The optional matching dictionary with the key being the source variables and the value being the derivation function. """ + self.is_src_vars_wildcard = False + vars_in_file = set(dataset.data_vars.keys()) # Example: [('pr',), ('PRECC', 'PRECL')] @@ -711,6 +720,7 @@ def _get_matching_climo_src_vars( if "?" in vars: var_list += fnmatch.filter(list(vars_in_file), vars) var_list.remove(vars) + self.is_src_vars_wildcard = True if vars_in_file.issuperset(tuple(var_list)): # All of the variables (list_of_vars) are in data_file. @@ -848,11 +858,25 @@ def _get_dataset_with_derivation_func( if func in FUNC_NEEDS_TARGET_VAR: func_args = [target_var_key] + func_args # type: ignore # pragma: nocover + # If the target variable key contains a wildcard, there are can be + # N number of function arguments. For the cases, we need to pass the + # entire list of DataArrays to the derived function in order to + # properly maintain attributes (e.g., "units"). For example, + # "bc_a?_CLXF" uses the Python `sum()` function, which sums all of the + # DataArrays by iterating over them and add all elements by index (rather + # than a typical sum reduction across an axis). Using `.sum()` without + # using `with xr.set_options(keep_attrs=True)` will result in attributes + # being dropped, resulting in potential downstream issues such as unit + # conversions which require the "units" attribute. + if self.is_src_vars_wildcard: + derived_var = func(func_args) # pragma: nocover + else: + derived_var = func(*func_args) # pragma: nocover + # Derive the target variable, then align the dataset dimensions to it. # Dimensional alignment is necessary for cases where the target variable # has been subsetted (e.g., `cosp_histogram_standardize()`). `xr.align` # returns both objects and element 0 is the xr.Dataset that is needed. - derived_var = func(*func_args) # pragma: nocover ds_final = xr.align(ds.copy(), derived_var)[0] ds_final[target_var_key] = derived_var diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index bed823846..4c75a46ec 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -16,11 +16,16 @@ # Valid hybrid-sigma levels keys that can be found in datasets. +# _get_hybrid_sigma_level()` will search for the variables using the keys +# in the order of elements in the tuple and will return the first match if +# found. HYBRID_SIGMA_KEYS = { "p0": ("p0", "P0"), "ps": ("ps", "PS"), - "hyam": ("hyam", "hya", "a"), - "hybm": ("hybm", "hyb", "b"), + "hyam": ("hyam", "hyai", "hya", "a"), + "hyai": ("hyai", "hyam", "hya", "a"), + "hybm": ("hybm", "hybi", "hyb", "b"), + "hybi": ("hybi", "hybm", "hyb", "b"), } REGRID_TOOLS = Literal["esmf", "xesmf", "regrid2"] @@ -586,15 +591,21 @@ def _hybrid_to_plevs( return result -def _hybrid_to_pressure(ds: xr.Dataset, var_key: str) -> xr.DataArray: - """Regrid hybrid-sigma levels to pressure coordinates (mb). +def _hybrid_to_pressure( + ds: xr.Dataset, + var_key: str, + p0: float = 1000.0, + a_key: Literal["hyam", "hyai"] = "hyam", + b_key: Literal["hybm", "hybi"] = "hybm", +) -> xr.DataArray: + """Regrid hybrid-sigma levels to pressure coordinates. - Formula: p(k) = hyam(k) * p0 + hybm(k) * ps + Formula: p(k) = a(k) * p0 + b(k) * ps * p: pressure data (mb). - * hyam: 1-D array equal to hybrid A coefficients. + * hyam/hyai: 1-D array equal to hybrid A coefficients. * p0: Scalar numeric value equal to surface reference pressure with the same units as "ps" (mb). - * hybm: 1-D array equal to hybrid B coefficients. + * hybm/hybi: 1-D array equal to hybrid B coefficients. * ps: 2-D array equal to surface pressure data (mb, converted from Pa). Parameters @@ -603,6 +614,13 @@ def _hybrid_to_pressure(ds: xr.Dataset, var_key: str) -> xr.DataArray: The dataset containing the variable and hybrid levels. var_key : str The variable key. + p0 : float + Scalar numeric value equal to surface reference pressure with + the same units as "ps", by default 1000.0 (mb). + a_key : Literal["hyam", "hyai"] + The key for the hybrid A coefficient variable. By default, "hyam". + b_key : Literal["hybm", "hybi"] + The key for the hybrid B coefficient variable. By default, "hybm". Returns ------- @@ -613,7 +631,7 @@ def _hybrid_to_pressure(ds: xr.Dataset, var_key: str) -> xr.DataArray: ------ KeyError If the dataset does not contain pressure data (ps) or any of the - hybrid levels (hyam, hymb). + hybrid levels (hyam/hyai, hybm/hybi). Notes ----- @@ -622,27 +640,31 @@ def _hybrid_to_pressure(ds: xr.Dataset, var_key: str) -> xr.DataArray: """ # p0 is statically set to mb (1000) instead of retrieved from the dataset # because the pressure data should be in mb. - p0 = 1000 ps = _get_hybrid_sigma_level(ds, "ps") - hyam = _get_hybrid_sigma_level(ds, "hyam") - hybm = _get_hybrid_sigma_level(ds, "hybm") + a = _get_hybrid_sigma_level(ds, a_key) + b = _get_hybrid_sigma_level(ds, b_key) - if ps is None or hyam is None or hybm is None: + if ps is None or a is None or b is None: raise KeyError( f"The dataset for '{var_key}' does not contain hybrid-sigma level 'ps', " - "'hyam' and/or 'hybm' to use for reconstructing to pressure data." + f"'{a_key}' and/or '{b_key}' for reconstructing to pressure data." ) - ps = _convert_dataarray_units_to_mb(ps) + if p0 == 1000: + ps = _convert_dataarray_units_to_mb(ps) + + pressure_coords = a * p0 + b * ps - pressure_coords = hyam * p0 + hybm * ps - pressure_coords.attrs["units"] = "mb" + if p0 == 1000.0: + pressure_coords.attrs["units"] = "mb" + elif p0 == 100000.0: + pressure_coords.attrs["units"] = "Pa" return pressure_coords def _get_hybrid_sigma_level( - ds: xr.Dataset, name: Literal["ps", "p0", "hyam", "hybm"] + ds: xr.Dataset, name: Literal["ps", "p0", "hyam", "hyai", "hybm", "hybi"] ) -> xr.DataArray | None: """Get the hybrid-sigma level xr.DataArray from the xr.Dataset. @@ -654,7 +676,7 @@ def _get_hybrid_sigma_level( ---------- ds : xr.Dataset The dataset. - name : {"ps", "p0", "hyam", "hybm"} + name : {"ps", "p0", "hyam", "hyai", "hybm", "hybi"} The name of the hybrid-sigma level to get. Returns diff --git a/e3sm_diags/driver/utils/zwf_functions.py b/e3sm_diags/driver/utils/zwf_functions.py index 9c4626f8d..475fcbb17 100755 --- a/e3sm_diags/driver/utils/zwf_functions.py +++ b/e3sm_diags/driver/utils/zwf_functions.py @@ -93,8 +93,8 @@ def rmvAnnualCycle(data, spd, fCrit): # if fcrit_ndx > 1: # cf[1:fcrit_ndx+1, ...] = 0.0 # z = np.fft.irfft(cf, n=ntim, axis=0) - z = xr.DataArray(z.real, dims=data.dims, coords=data.coords) - return z + da_z = xr.DataArray(z.real, dims=data.dims, coords=data.coords) + return da_z def smoothFrq121(data, nsmth_iter=1): @@ -374,9 +374,9 @@ def resolveWavesHayashi(varfft: xr.DataArray, nDayWin: int, spd: int) -> xr.Data if (c != "wavenumber") and (c != "frequency"): ocoords[c] = varfft[c] elif c == "wavenumber": - ocoords["wavenumber"] = wave + ocoords["wavenumber"] = wave # type: ignore elif c == "frequency": - ocoords["frequency"] = freq + ocoords["frequency"] = freq # type: ignore pee = xr.DataArray(pee, dims=odims, coords=ocoords) return pee diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index fd85efe92..7b876b3bf 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -8,7 +8,7 @@ import numpy as np from e3sm_diags.derivations.derivations import DerivedVariablesMap -from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQ +from e3sm_diags.driver.utils.climo_xr import ClimoFreq from e3sm_diags.driver.utils.regrid import REGRID_TOOLS from e3sm_diags.logger import custom_logger @@ -104,7 +104,7 @@ def __init__(self): self.current_set: str = "" self.variables: List[str] = [] - self.seasons: List[CLIMO_FREQ] = ["ANN", "DJF", "MAM", "JJA", "SON"] + self.seasons: List[ClimoFreq] = ["ANN", "DJF", "MAM", "JJA", "SON"] self.regions: List[str] = ["global"] self.regrid_tool: REGRID_TOOLS = "esmf" @@ -277,9 +277,7 @@ def _set_param_output_attrs( self.output_file = output_file self.main_title = main_title - def _set_name_yrs_attrs( - self, ds_test: Dataset, ds_ref: Dataset, season: CLIMO_FREQ - ): + def _set_name_yrs_attrs(self, ds_test: Dataset, ds_ref: Dataset, season: ClimoFreq): """Set the test_name_yrs and ref_name_yrs attributes. Parameters diff --git a/e3sm_diags/plot/cartopy/tropical_subseasonal_plot.py b/e3sm_diags/plot/cartopy/tropical_subseasonal_plot.py index 6f4a35b5a..931fe31fa 100755 --- a/e3sm_diags/plot/cartopy/tropical_subseasonal_plot.py +++ b/e3sm_diags/plot/cartopy/tropical_subseasonal_plot.py @@ -1,7 +1,6 @@ from __future__ import annotations import os -from typing import TYPE_CHECKING # noqa: F401 import matplotlib import numpy as np @@ -382,7 +381,9 @@ def _wave_frequency_plot( # noqa: C901 z = var.transpose().sel(frequency=slice(*fb), wavenumber=slice(*wnb)) z.loc[{"frequency": 0}] = np.nan - if "spec_raw" in var.name and subplot_num < 2: + var_name = str(var.name) + + if "spec_raw" in var_name and subplot_num < 2: east_power = z.sel( frequency=slice((1.0 / 96.0), (1.0 / 24.0)), wavenumber=slice(1, 3) ).sum() @@ -394,17 +395,17 @@ def _wave_frequency_plot( # noqa: C901 print("west_power: %12.5f" % west_power) print("ew_ratio: %12.5f\n" % ew_ratio) - z = np.log10(z) + z = np.log10(z) # type: ignore - if "spec_background" in var.name and subplot_num < 2: - z = np.log10(z) + if "spec_background" in var_name and subplot_num < 2: + z = np.log10(z) # type: ignore - z.attrs["long_name"] = PlotDesc[var.name]["long_name_desc"] + z.attrs["long_name"] = PlotDesc[var_name]["long_name_desc"] z.attrs[ "method" - ] = f"Follows {PlotDesc[var.name]['ref_fig_num']} methods of Wheeler and Kiladis (1999; https://doi.org/10.1175/1520-0469(1999)056<0374:CCEWAO>2.0.CO;2)" + ] = f"Follows {PlotDesc[var_name]['ref_fig_num']} methods of Wheeler and Kiladis (1999; https://doi.org/10.1175/1520-0469(1999)056<0374:CCEWAO>2.0.CO;2)" - if "spec_raw" in var.name and subplot_num < 2: + if "spec_raw" in var_name and subplot_num < 2: z.attrs[ "ew_ratio_method" ] = "Sum of raw (not log10) symmetric spectral power for ZWNs +/- 1-3, periods 24-96 days" @@ -425,7 +426,7 @@ def _wave_frequency_plot( # noqa: C901 # for test and ref: if subplot_num < 2: - if "spec_norm" in var.name: + if "spec_norm" in var_name: if varName == "FLUT": contour_level_spec = CONTOUR_LEVS_SPEC_NORM_FLUT elif varName == "PRECT": @@ -476,7 +477,7 @@ def _wave_frequency_plot( # noqa: C901 # for diff ratio if subplot_num == 2: - if "spec_norm" in var.name: + if "spec_norm" in var_name: contour_level_spec = CONTOUR_LEVS_SPEC_NORM_DIFF # type: ignore else: contour_level_spec = CONTOUR_LEVS_SPEC_RAW_DIFF # type: ignore @@ -528,11 +529,11 @@ def _wave_frequency_plot( # noqa: C901 ax.set_xlim(wnb) ax.set_ylim(fb) - if "spec_raw" in var.name: + if "spec_raw" in var_name: ax.set_title( f"{varName}: Log{{Sum(Power) from 15°S-15°N}}\n" ) # Version w/o LaTeX - elif "spec_norm" in var.name: + elif "spec_norm" in var_name: ax.set_title( f"{varName}: {{Sum(Power) from 15°S-15°N}}/Background\n" ) # Version w/o LaTeX @@ -543,7 +544,7 @@ def _wave_frequency_plot( # noqa: C901 ax.set_title(f"{var.component}", loc="right") # set up lines and lables for dispersion curves - if "background" not in var.name: + if "background" not in var_name: text_opt = { "fontsize": 9, "verticalalignment": "center", @@ -556,9 +557,9 @@ def _wave_frequency_plot( # noqa: C901 "pad": 0.0, }, } - if "sym" in var.name: + if "sym" in var_name: wave_types = [3, 4, 5] - if "norm" in var.name and not do_zoom: + if "norm" in var_name and not do_zoom: # Shallow water dispersion curve line labels: See https://matplotlib.org/stable/tutorials/text/text_intro.html # n=1 ER dispersion curve labels iwave, ih = 3, 0 @@ -638,7 +639,7 @@ def _wave_frequency_plot( # noqa: C901 else: wave_types = [0, 1, 2] - if "norm" in var.name and not do_zoom: + if "norm" in var_name and not do_zoom: ax.text(-6.0, 0.18, "MRG", text_opt) # n=0 EIG dispersion curve labels iwave, ih = 1, 0 @@ -723,8 +724,8 @@ def _wave_frequency_plot( # noqa: C901 def plot( parameter: CoreParameter, da_test: xr.DataArray, - da_ref: xr.DataArray | None, - da_diff: xr.DataArray | None, + da_ref: xr.DataArray, + da_diff: xr.DataArray, do_zoom: bool = False, ): """Plot the variable's metrics generated for the lat_lon set. @@ -740,7 +741,7 @@ def plot( ds_diff : xr.DataArray | None The difference between ``ds_test`` and ``ds_ref``. """ - fig = plt.figure(figsize=[8.5, 12.0], dpi=300) + fig = plt.figure(figsize=(8.5, 12.0), dpi=300) _wave_frequency_plot( 0, From 16bd0efde2157f100091b94c4c5790eec41b4fce Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 13 May 2024 13:59:06 -0700 Subject: [PATCH 16/41] Add `acme.py` changes from PR #712 (#814) * Add `acme.py` changes from PR #712 * Replace unnecessary lambda call --- e3sm_diags/derivations/derivations.py | 193 +++++++++++++------------- e3sm_diags/derivations/formulas.py | 10 ++ 2 files changed, 108 insertions(+), 95 deletions(-) diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index 54f528e7d..ebab62af1 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -60,6 +60,7 @@ qsat, restoa, restom, + restom3, rst, rstcs, sum_vars, @@ -100,26 +101,20 @@ # TODO: Replace OrderedDict with normal dictionary and remove lambda calls # that aren't necessary (e.g., `rename()`). DERIVED_VARIABLES: DerivedVariablesMap = { - "PRECT": OrderedDict( - [ - ( - ("PRECT",), - lambda pr: convert_units(rename(pr), target_units="mm/day"), - ), - (("pr",), lambda pr: qflxconvert_units(rename(pr))), - (("PRECC", "PRECL"), lambda precc, precl: prect(precc, precl)), - (("sat_gauge_precip",), rename), - ] - ), - "PRECST": OrderedDict( - [ - (("prsn",), lambda prsn: qflxconvert_units(rename(prsn))), - ( - ("PRECSC", "PRECSL"), - lambda precsc, precsl: precst(precsc, precsl), - ), - ] - ), + "PRECT": { + ("PRECT",): lambda pr: convert_units(rename(pr), target_units="mm/day"), + ("pr",): lambda pr: qflxconvert_units(rename(pr)), + ("PRECC", "PRECL"): lambda precc, precl: prect(precc, precl), + ("sat_gauge_precip",): rename, + ("PrecipLiqSurfMassFlux", "PrecipIceSurfMassFlux"): prect, # EAMxx + }, + "PRECST": { + ("prsn",): lambda prsn: qflxconvert_units(rename(prsn)), + ("PRECSC", "PRECSL"): precst, + ("VapWaterPath",): lambda prw: convert_units( + rename(prw), target_units="kg/m2" + ), # EAMxx + }, # Sea Surface Temperature: Degrees C # Temperature of the water, not the air. Ignore land. "SST": OrderedDict( @@ -146,17 +141,16 @@ ), ] ), - "SOLIN": OrderedDict([(("rsdt",), rename)]), - "ALBEDO": OrderedDict( - [ - (("ALBEDO",), rename), - ( - ("SOLIN", "FSNTOA"), - lambda solin, fsntoa: albedo(solin, solin - fsntoa), - ), - (("rsdt", "rsut"), lambda rsdt, rsut: albedo(rsdt, rsut)), - ] - ), + "SOLIN": {("rsdt",): rename, ("SW_flux_dn_at_model_top",): rename}, # EAMxx + "ALBEDO": { + ("ALBEDO",): rename, + ("SOLIN", "FSNTOA"): lambda solin, fsntoa: albedo(solin, solin - fsntoa), + ("rsdt", "rsut"): albedo, + ( + "SW_flux_up_at_model_top", + "SW_clrsky_flux_up_at_model_top", + ): swcf, # EAMxx + }, "ALBEDOC": OrderedDict( [ (("ALBEDOC",), rename), @@ -403,40 +397,39 @@ ), ] ), - "FLUT": OrderedDict([(("rlut",), rename)]), - "FSUTOA": OrderedDict([(("rsut",), rename)]), - "FSUTOAC": OrderedDict([(("rsutcs",), rename)]), - "FLNT": OrderedDict([(("FLNT",), rename)]), - "FLUTC": OrderedDict([(("rlutcs",), rename)]), - "FSNTOA": OrderedDict( - [ - (("FSNTOA",), rename), - (("rsdt", "rsut"), lambda rsdt, rsut: rst(rsdt, rsut)), - ] - ), - "FSNTOAC": OrderedDict( - [ - # Note: CERES_EBAF data in amwg obs sets misspells "units" as "lunits" - (("FSNTOAC",), rename), - (("rsdt", "rsutcs"), lambda rsdt, rsutcs: rstcs(rsdt, rsutcs)), - ] - ), - "RESTOM": OrderedDict( - [ - (("RESTOA",), rename), - (("toa_net_all_mon",), rename), - (("FSNT", "FLNT"), lambda fsnt, flnt: restom(fsnt, flnt)), - (("rtmt",), rename), - ] - ), - "RESTOA": OrderedDict( - [ - (("RESTOM",), rename), - (("toa_net_all_mon",), rename), - (("FSNT", "FLNT"), lambda fsnt, flnt: restoa(fsnt, flnt)), - (("rtmt",), rename), - ] - ), + "FLUT": {("rlut",): rename, ("LW_flux_up_at_model_top",): rename}, + "FSUTOA": {("rsut",): rename}, + "FSUTOAC": {("rsutcs",): rename}, + "FLNT": {("FLNT",): rename}, + "FLUTC": {("rlutcs",): rename, ("LW_clrsky_flux_up_at_model_top",): rename}, + "FSNTOA": { + ("FSNTOA",): rename, + ("rsdt", "rsut"): rst, + ("SW_flux_dn_at_model_top", "SW_flux_up_at_model_top"): rst, # EAMxx + }, + "FSNTOAC": { + # Note: CERES_EBAF data in amwg obs sets misspells "units" as "lunits" + ("FSNTOAC",): rename, + ("rsdt", "rsutcs"): rstcs, + ("SW_flux_dn_at_model_top", "SW_clrsky_flux_up_at_model_top"): rstcs, # EAMxx + }, + "RESTOM": { + ("RESTOA",): rename, + ("toa_net_all_mon",): rename, + ("FSNT", "FLNT"): restom, + ( + "SW_flux_dn_at_model_top", + "SW_flux_up_at_model_top", + "LW_flux_up_at_model_top", + ): restom3, # EAMxx + ("rtmt",): rename, + }, + "RESTOA": { + ("RESTOM",): rename, + ("toa_net_all_mon",): rename, + ("FSNT", "FLNT"): restoa, + ("rtmt",): rename, + }, "PRECT_LAND": OrderedDict( [ (("PRECIP_LAND",), rename), @@ -458,18 +451,18 @@ (("Z3",), lambda z3: convert_units(z3, target_units="hectometer")), ] ), - "PSL": OrderedDict( - [ - (("PSL",), lambda psl: convert_units(psl, target_units="mbar")), - (("psl",), lambda psl: convert_units(psl, target_units="mbar")), - ] - ), - "T": OrderedDict( - [ - (("ta",), rename), - (("T",), lambda t: convert_units(t, target_units="K")), - ] - ), + "PSL": { + ("PSL",): lambda psl: convert_units(psl, target_units="mbar"), + ("psl",): lambda psl: convert_units(psl, target_units="mbar"), + ("SeaLevelPressure",): lambda psl: convert_units( + psl, target_units="mbar" + ), # EAMxx + }, + "T": { + ("ta",): rename, + ("T",): lambda t: convert_units(t, target_units="K"), + ("T_2m",): lambda t: convert_units(t, target_units="DegC"), # EAMxx + }, "U": OrderedDict( [ (("ua",), rename), @@ -493,20 +486,21 @@ ] ), # Surface water flux: kg/((m^2)*s) - "QFLX": OrderedDict( - [ - (("evspsbl",), rename), - (("QFLX",), lambda qflx: qflxconvert_units(qflx)), - ] - ), + "QFLX": { + ("evspsbl",): rename, + ("QFLX",): qflxconvert_units, + ("surf_evap",): qflxconvert_units, # EAMxx + }, # Surface latent heat flux: W/(m^2) - "LHFLX": OrderedDict( - [ - (("hfls",), rename), - (("QFLX",), lambda qflx: qflx_convert_to_lhflx_approxi(qflx)), - ] - ), - "SHFLX": OrderedDict([(("hfss",), rename)]), + "LHFLX": { + ("hfls",): rename, + ("QFLX",): qflx_convert_to_lhflx_approxi, + ("surface_upward_latent_heat_flux",): rename, # EAMxx "s^-3 kg" + }, + "SHFLX": { + ("hfss",): rename, + ("surf_sens_flux",): rename, # EAMxx + }, "TGCLDLWP_OCN": OrderedDict( [ ( @@ -701,8 +695,8 @@ ("H2OLNZ",): lambda h2o: w_convert_q(h2o), }, "TAUXY": { - ("TAUX", "TAUY"): lambda taux, tauy: tauxy(taux, tauy), - ("tauu", "tauv"): lambda taux, tauy: tauxy(taux, tauy), + ("TAUX", "TAUY"): tauxy, + ("tauu", "tauv"): tauxy, }, "AODVIS": { ("od550aer",): rename, @@ -727,7 +721,10 @@ }, # Surface temperature: Degrees C # (Temperature of the surface (land/water) itself, not the air) - "TS": {("ts",): rename}, + "TS": { + ("ts",): rename, + ("surf_radiative_T",): rename, # EAMxx + }, "PS": {("ps",): rename}, "U10": {("sfcWind",): rename}, "QREFHT": { @@ -736,8 +733,14 @@ ("d2m", "sp"): qsat, }, "PRECC": {("prc",): rename}, - "TAUX": {("tauu",): lambda tauu: -tauu}, - "TAUY": {("tauv",): lambda tauv: -tauv}, + "TAUX": { + ("tauu",): lambda tauu: -tauu, + ("surf_mom_flux_U",): lambda tauu: -tauu, # EAMxx + }, + "TAUY": { + ("tauv",): lambda tauv: -tauv, + ("surf_mom_flux_V",): lambda tauv: -tauv, # EAMxx + }, "CLDICE": {("cli",): rename}, "TGCLDIWP": {("clivi",): rename}, "CLDLIQ": {("clw",): rename}, diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index f1b5e3b45..ef0f012e3 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -411,6 +411,16 @@ def restom(fsnt: xr.DataArray, flnt: xr.DataArray): return var +def restom3(swdn: xr.DataArray, swup: xr.DataArray, lwup: xr.DataArray): + """TOM(top of model) Radiative flux""" + with xr.set_options(keep_attrs=True): + var = swdn - swup - lwup + + var.long_name = "TOM(top of model) Radiative flux" + + return var + + def restoa(fsnt: xr.DataArray, flnt: xr.DataArray): """TOA(top of atmosphere) Radiative flux""" with xr.set_options(keep_attrs=True): From 80e1bb103d56684f22df180a2ec1ba57a03c9b0e Mon Sep 17 00:00:00 2001 From: forsyth2 <30700190+forsyth2@users.noreply.github.com> Date: Thu, 30 May 2024 13:58:10 -0700 Subject: [PATCH 17/41] Refactor area_mean_time_series and add ccb slice flag feature (#750) Co-authored-by: Tom Vo --- .../662-area-mean-time-series/annual_avgs.py | 31 + .../debug/759_slice_flag_ccb.py | 154 ++ .../debug/759_slice_flag_co.py | 137 ++ .../regression-test-json.ipynb | 370 ++++ .../regression-test-netcdf.ipynb | 1565 +++++++++++++++++ .../662-area-mean-time-series/run.cfg | 7 + .../662-area-mean-time-series/run_script.py | 12 + .../test_non_submonthly.py | 46 + .../cdat_regression_testing/utils.py | 10 +- e3sm_diags/derivations/formulas.py | 26 +- .../driver/area_mean_time_series_driver.py | 230 +-- e3sm_diags/driver/utils/dataset_xr.py | 257 ++- e3sm_diags/driver/utils/regrid.py | 2 +- .../cartopy/area_mean_time_series_plot.py | 210 ++- .../driver/utils/test_dataset_xr.py | 195 +- tests/test_area_mean_time_series.py | 1 + 16 files changed, 2876 insertions(+), 377 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/annual_avgs.py create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_ccb.py create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_co.py create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-json.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/test_non_submonthly.py create mode 100644 tests/test_area_mean_time_series.py diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/annual_avgs.py b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/annual_avgs.py new file mode 100644 index 000000000..90d10b71b --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/annual_avgs.py @@ -0,0 +1,31 @@ +# %% +import cdms2 +import cdutil +import xcdat as xc + +# %% +# CDAT +# Time coordinates at the first day of the month (1850-01-01) +fn1 = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1/FSNS_185001_201312.nc" +var_key = "FSNS" + +ds_cdat2 = cdms2.open(fn1) +var = ds_cdat2(var_key) + +var_avg = cdutil.averager(var, axis="xy") +var_avg_year = cdutil.YEAR(var_avg) + +print(var_avg_year.getTime().asComponentTime()[-3:-1]) +# [2011-7-2 12:0:0.0, 2012-7-2 12:0:0.0] + +# %% +# xCDAT +ds_xcdat = xc.open_dataset(fn1, decode_times=True) +ds_xcdat_avg = ds_xcdat.spatial.average(var_key, axis=["X", "Y"]) +ds_xcdat_avg_year = ds_xcdat_avg.temporal.group_average(var_key, freq="year") + +var_avg_year_xc = ds_xcdat_avg_year[var_key] + +print(var_avg_year_xc.time.values[-3:-1]) +# [cftime.DatetimeNoLeap(2012, 1, 1, 0, 0, 0, 0, has_year_zero=True) +# cftime.DatetimeNoLeap(2013, 1, 1, 0, 0, 0, 0, has_year_zero=True)] diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_ccb.py b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_ccb.py new file mode 100644 index 000000000..8ed922033 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_ccb.py @@ -0,0 +1,154 @@ +""" +https://github.com/E3SM-Project/e3sm_diags/blob/633b52c314325e605fe7f62687cc4d00e5a0a3d5/e3sm_diags/driver/utils/dataset.py#L665-L672 + + if sub_monthly: + start_time = "{}-01-01".format(start_year) + end_time = "{}-01-01".format(str(int(end_year) + 1)) + slice_flag = "co" + else: + start_time = "{}-01-15".format(start_year) + end_time = "{}-12-15".format(end_year) + slice_flag = "ccb" + + var_time = fin(var, time=(start_time, end_time, slice_flag))(squeeze=1) +""" +# %% +import cdms2 +import xcdat as xc + +# Parameters +# Time coordinates at the first day of the month (1850-01-01) +fn1 = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1/FSNS_185001_201312.nc" +var = "FSNS" +start_time = "2011-01-15" +end_time = "2013-12-15" + +slice_flag = "ccb" + + +ds_cdat2 = cdms2.open(fn1) + + +# "ccb" slice +# RESULT: Adds a coordinate to the end because the end time of the dataset is +# 2013-12-01, and "ccb" only allows the right side to be closed. It will use +# bounds to determine the right bound value to add the coordinate point. + +# Example: +# 1. Actual end time: 2013-12-01 +# 2. Slice end time: 2013-12-15 +# 3. Bound values: [2013-12-01, 2014-1-1] +# 4. Use 2014-1-1 as last coordinate point. +# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +var_s = ds_cdat2(var, time=(start_time, end_time, slice_flag))(squeeze=1) + +time_s = var_s.getTime() +time_s_dt = time_s.asComponentTime() + +""" +[2011-2-1 0:0:0.0, + 2011-3-1 0:0:0.0, + 2011-4-1 0:0:0.0, + 2011-5-1 0:0:0.0, + 2011-6-1 0:0:0.0, + 2011-7-1 0:0:0.0, + 2011-8-1 0:0:0.0, + 2011-9-1 0:0:0.0, + 2011-10-1 0:0:0.0, + 2011-11-1 0:0:0.0, + 2011-12-1 0:0:0.0, + 2012-1-1 0:0:0.0, + 2012-2-1 0:0:0.0, + 2012-3-1 0:0:0.0, + 2012-4-1 0:0:0.0, + 2012-5-1 0:0:0.0, + 2012-6-1 0:0:0.0, + 2012-7-1 0:0:0.0, + 2012-8-1 0:0:0.0, + 2012-9-1 0:0:0.0, + 2012-10-1 0:0:0.0, + 2012-11-1 0:0:0.0, + 2012-12-1 0:0:0.0, + 2013-1-1 0:0:0.0, + 2013-2-1 0:0:0.0, + 2013-3-1 0:0:0.0, + 2013-4-1 0:0:0.0, + 2013-5-1 0:0:0.0, + 2013-6-1 0:0:0.0, + 2013-7-1 0:0:0.0, + 2013-8-1 0:0:0.0, + 2013-9-1 0:0:0.0, + 2013-10-1 0:0:0.0, + 2013-11-1 0:0:0.0, + 2013-12-1 0:0:0.0, + 2014-1-1 0:0:0.0] +""" + +# 36 2014-1-1 0:0:0.0 +print(len(time_s), time_s_dt[-1]) +# [59829. 59860.] +print(time_s.getBounds()[-1]) + +# ~~~~~~~ + +# xCDAT +ds_xcdat = xc.open_dataset(fn1, decode_times=True) + +ds_xcdat_s = ds_xcdat.sel(time=slice(start_time, end_time)) + +# 35 2013-12-01 00:00:00 +print(len(ds_xcdat_s.time), ds_xcdat_s.time.values[-1]) + +# [cftime.DatetimeNoLeap(2013, 11, 1, 0, 0, 0, 0, has_year_zero=True) +# cftime.DatetimeNoLeap(2013, 12, 1, 0, 0, 0, 0, has_year_zero=True)] +print(ds_xcdat_s.time_bnds.values[-1]) + + +# No slice +# ~~~~~~~ +var_ns = ds_cdat2(var, time=(start_time, end_time))(squeeze=1) +time_ns = var_ns.getTime() +time_ns_dt = time_ns.asComponentTime() + +""" +[2011-2-1 0:0:0.0, + 2011-3-1 0:0:0.0, + 2011-4-1 0:0:0.0, + 2011-5-1 0:0:0.0, + 2011-6-1 0:0:0.0, + 2011-7-1 0:0:0.0, + 2011-8-1 0:0:0.0, + 2011-9-1 0:0:0.0, + 2011-10-1 0:0:0.0, + 2011-11-1 0:0:0.0, + 2011-12-1 0:0:0.0, + 2012-1-1 0:0:0.0, + 2012-2-1 0:0:0.0, + 2012-3-1 0:0:0.0, + 2012-4-1 0:0:0.0, + 2012-5-1 0:0:0.0, + 2012-6-1 0:0:0.0, + 2012-7-1 0:0:0.0, + 2012-8-1 0:0:0.0, + 2012-9-1 0:0:0.0, + 2012-10-1 0:0:0.0, + 2012-11-1 0:0:0.0, + 2012-12-1 0:0:0.0, + 2013-1-1 0:0:0.0, + 2013-2-1 0:0:0.0, + 2013-3-1 0:0:0.0, + 2013-4-1 0:0:0.0, + 2013-5-1 0:0:0.0, + 2013-6-1 0:0:0.0, + 2013-7-1 0:0:0.0, + 2013-8-1 0:0:0.0, + 2013-9-1 0:0:0.0, + 2013-10-1 0:0:0.0, + 2013-11-1 0:0:0.0, + 2013-12-1 0:0:0.0] +""" + +# 35 2013-12-1 0:0:0.0 +print(len(time_ns), time_ns_dt[-1]) +# [59799. 59829.] +print(time_ns.getBounds()[-1]) diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_co.py b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_co.py new file mode 100644 index 000000000..20c5ca08d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/debug/759_slice_flag_co.py @@ -0,0 +1,137 @@ +# %% +import cdms2 +import xcdat as xc + +# Parameters +# Time coordinates at the first day of the month (1850-01-01) +fn1 = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1/FSNS_185001_201312.nc" +var = "FSNS" +start_time = "2011-01-01" +end_time = "2014-01-01" + +# "co" - YYYY-01-01 +1 for the end year +slice_flag = "co" + + +ds_cdat = cdms2.open(fn1) + +# With slice -- nothing changes because "co" allows the right side to be open, +# The actual end time (2013-12-01) is within the slice end time (2014-01-01). +# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +var_s = ds_cdat(var, time=(start_time, end_time, slice_flag))(squeeze=1) + +time_s = var_s.getTime() +time_s_dt = time_s.asComponentTime() + +""" +[2011-1-1 0:0:0.0, + 2011-2-1 0:0:0.0, + 2011-3-1 0:0:0.0, + 2011-4-1 0:0:0.0, + 2011-5-1 0:0:0.0, + 2011-6-1 0:0:0.0, + 2011-7-1 0:0:0.0, + 2011-8-1 0:0:0.0, + 2011-9-1 0:0:0.0, + 2011-10-1 0:0:0.0, + 2011-11-1 0:0:0.0, + 2011-12-1 0:0:0.0, + 2012-1-1 0:0:0.0, + 2012-2-1 0:0:0.0, + 2012-3-1 0:0:0.0, + 2012-4-1 0:0:0.0, + 2012-5-1 0:0:0.0, + 2012-6-1 0:0:0.0, + 2012-7-1 0:0:0.0, + 2012-8-1 0:0:0.0, + 2012-9-1 0:0:0.0, + 2012-10-1 0:0:0.0, + 2012-11-1 0:0:0.0, + 2012-12-1 0:0:0.0, + 2013-1-1 0:0:0.0, + 2013-2-1 0:0:0.0, + 2013-3-1 0:0:0.0, + 2013-4-1 0:0:0.0, + 2013-5-1 0:0:0.0, + 2013-6-1 0:0:0.0, + 2013-7-1 0:0:0.0, + 2013-8-1 0:0:0.0, + 2013-9-1 0:0:0.0, + 2013-10-1 0:0:0.0, + 2013-11-1 0:0:0.0, + 2013-12-1 0:0:0.0] +""" + + +# 36 2013-12-1 0:0:0.0 +print(len(time_s), time_s_dt[-1]) +# [59799. 59829.] +print(time_s.getBounds()[-1]) + + +# ~~~~~~~ + +# xCDAT +ds_xcdat = xc.open_dataset(fn1, decode_times=True) + +ds_xcdat_s = ds_xcdat.sel(time=slice(start_time, end_time)) + +# 35 2013-12-01 00:00:00 +print(len(ds_xcdat_s.time), ds_xcdat_s.time.values[-1]) + +# [cftime.DatetimeNoLeap(2013, 11, 1, 0, 0, 0, 0, has_year_zero=True) +# cftime.DatetimeNoLeap(2013, 12, 1, 0, 0, 0, 0, has_year_zero=True)] +print(ds_xcdat_s.time_bnds.values[-1]) + + +# No slice +# RESULT: Adds a coordinate to the end ("ccn" is default) +# ~~~~~~~ +var_ns = ds_cdat(var, time=(start_time, end_time))(squeeze=1) +time_ns = var_ns.getTime() +time_ns_dt = time_ns.asComponentTime() + +""" +[2011-1-1 0:0:0.0, + 2011-2-1 0:0:0.0, + 2011-3-1 0:0:0.0, + 2011-4-1 0:0:0.0, + 2011-5-1 0:0:0.0, + 2011-6-1 0:0:0.0, + 2011-7-1 0:0:0.0, + 2011-8-1 0:0:0.0, + 2011-9-1 0:0:0.0, + 2011-10-1 0:0:0.0, + 2011-11-1 0:0:0.0, + 2011-12-1 0:0:0.0, + 2012-1-1 0:0:0.0, + 2012-2-1 0:0:0.0, + 2012-3-1 0:0:0.0, + 2012-4-1 0:0:0.0, + 2012-5-1 0:0:0.0, + 2012-6-1 0:0:0.0, + 2012-7-1 0:0:0.0, + 2012-8-1 0:0:0.0, + 2012-9-1 0:0:0.0, + 2012-10-1 0:0:0.0, + 2012-11-1 0:0:0.0, + 2012-12-1 0:0:0.0, + 2013-1-1 0:0:0.0, + 2013-2-1 0:0:0.0, + 2013-3-1 0:0:0.0, + 2013-4-1 0:0:0.0, + 2013-5-1 0:0:0.0, + 2013-6-1 0:0:0.0, + 2013-7-1 0:0:0.0, + 2013-8-1 0:0:0.0, + 2013-9-1 0:0:0.0, + 2013-10-1 0:0:0.0, + 2013-11-1 0:0:0.0, + 2013-12-1 0:0:0.0, + 2014-1-1 0:0:0.0] +""" + +# 37 2014-1-1 0:0:0.0 +print(len(time_ns), time_ns_dt[-1]) +# [59829. 59860.] +print(time_ns.getBounds()[-1]) diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-json.ipynb b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-json.ipynb new file mode 100644 index 000000000..4025d7012 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-json.ipynb @@ -0,0 +1,370 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.json` metrics)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "import pandas as pd\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_num_metrics_above_diff_thres,\n", + " get_rel_diffs,\n", + " update_diffs_to_pct,\n", + " highlight_large_diffs,\n", + ")\n", + "\n", + "SET_NAME = \"area_mean_time_series\"\n", + "SET_DIR = \"662-area-mean-time-series\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def get_metrics(filepaths: List[str]) -> pd.DataFrame:\n", + " \"\"\"Get the metrics using a glob of `.json` metric files in a directory.\n", + "\n", + " Parameters\n", + " ----------\n", + " filepaths : List[str]\n", + " The filepaths for metrics `.json` files.\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The DataFrame containing the metrics for all of the variables in\n", + " the results directory.\n", + " \"\"\"\n", + " metrics = []\n", + "\n", + " for filepath in filepaths:\n", + " df = pd.read_json(filepath)\n", + "\n", + " filename = filepath.split(\"/\")[-1]\n", + " var_key = filename.split(\"-\")[0]\n", + " region = filename.split(\"-\")[-1]\n", + "\n", + " # Add the variable key to the MultiIndex and update the index\n", + " # before stacking to make the DataFrame easier to parse.\n", + " multiindex = pd.MultiIndex.from_product([[var_key], [region], [*df.index]])\n", + " df = df.set_index(multiindex)\n", + " df.stack()\n", + "\n", + " metrics.append(df)\n", + "\n", + " df_final = pd.concat(metrics)\n", + "\n", + " return df_final" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "metrics = []\n", + "\n", + "for filepath in DEV_GLOB:\n", + " df = pd.read_json(filepath)\n", + "\n", + " filename = filepath.split(\"/\")[-1]\n", + " var_key = filename.split(\"-\")[0]\n", + "\n", + " # Add the variable key to the MultiIndex and update the index\n", + " # before stacking to make the DataFrame easier to parse.\n", + " multiindex = pd.MultiIndex.from_product([[var_key], [filename], [*df.index]])\n", + " df = df.set_index(multiindex)\n", + " df.stack()\n", + "\n", + " metrics.append(df)\n", + "\n", + "df_final = pd.concat(metrics)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine all DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_main.add_suffix(\"_main\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")\n", + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = update_diffs_to_pct(df_final, [\"e3sm_v2 (0051-0060) DIFF (%)\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

    " + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [e3sm_v2 (0051-0060) DIFF (%), e3sm_v2 (0051-0060)_dev, e3sm_v2 (0051-0060)_main]\n", + "Index: []" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_final" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Review variables and metrics above difference threshold.\n", + "\n", + "- Red cells are differences >= 2%\n", + "- `nan` cells are differences < 2% and **should be ignored**\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "* Related variables []\n", + "* Number of metrics above 2% max threshold: 0 / 720\n" + ] + } + ], + "source": [ + "df_final_adj = df_final.reset_index(names=[\"var_key\", \"region\", \"metric\"])\n", + "get_num_metrics_above_diff_thres(df_metrics_all, df_final_adj)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
     var_keyregionmetrice3sm_v2 (0051-0060) DIFF (%)e3sm_v2 (0051-0060)_deve3sm_v2 (0051-0060)_main
    \n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_final_adj, [\"e3sm_v2 (0051-0060) DIFF (%)\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "- 792 / 792 metrics are within diff tolerance\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-netcdf.ipynb new file mode 100644 index 000000000..cd7a385f2 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/regression-test-netcdf.ipynb @@ -0,0 +1,1565 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "from typing import Tuple\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"area_mean_time_series\"\n", + "SET_DIR = \"662-area-mean-time-series\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-area-mean-time-series\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-area-mean-time-series\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main-area-mean-time-series\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (72 and 72).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20N50N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20S20N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50N90N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50S20S_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-90S50S_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-global_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-ocean_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20N50N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20S20N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50N90N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50S20S_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-90S50S_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-land_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-ocean_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20N50N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20S20N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50N90N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50S20S_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-90S50S_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-land_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-ocean_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20N50N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20S20N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50N90N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50S20S_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-90S50S_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-land_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-ocean_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20N50N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20S20N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50N90N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50S20S_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-90S50S_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-land_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-ocean_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20N50N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20S20N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50N90N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50S20S_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-90S50S_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-global_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-land_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-ocean_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20N50N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20S20N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50N90N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50S20S_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-90S50S_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-global_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-land_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-ocean_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20N50N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20S20N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50N90N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50S20S_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-90S50S_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-land_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-ocean_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20N50N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20S20N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50N90N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50S20S_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-90S50S_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-land_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-ocean_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "# We are mainly focusing on relative tolerance here (in percentage terms).\n", + "atol = 0\n", + "rtol = 1e-5\n", + "\n", + "count_mismatch = 0\n", + "\n", + "for filepath_dev in DEV_GLOB:\n", + " if \"test.nc\" in filepath_dev or \"ref.nc\" in filepath_dev:\n", + " filepath_main = filepath_dev.replace(SET_DIR, \"main-area-mean-time-series\")\n", + " print(\"Comparing:\")\n", + " print(filepath_dev, \"\\n\", filepath_main)\n", + " ds1 = xr.open_dataset(filepath_dev)\n", + " ds2 = xr.open_dataset(filepath_main)\n", + "\n", + " var_key = filepath_dev.split(\"/\")[-2]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = filepath_dev.split(\"-\")[-4]\n", + "\n", + " print(\"var_key\", var_key)\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " count_mismatch += 1\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "72" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_mismatch" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "fp1 = \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\"\n", + "fp2 = \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "ds_fp1 = xr.open_dataset(fp1)\n", + "ds_fp2 = xr.open_dataset(fp2)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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    <xarray.Dataset> Size: 160B\n",
+       "Dimensions:  (time: 10)\n",
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+       "  * time     (time) object 80B 0051-01-01 00:00:00 ... 0060-01-01 00:00:00\n",
+       "Data variables:\n",
+       "    FLUT     (time) float64 80B ...
    " + ], + "text/plain": [ + " Size: 160B\n", + "Dimensions: (time: 10)\n", + "Coordinates:\n", + " * time (time) object 80B 0051-01-01 00:00:00 ... 0060-01-01 00:00:00\n", + "Data variables:\n", + " FLUT (time) float64 80B ..." + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_fp1" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 320B\n",
+       "Dimensions:      (time: 10, bound: 2)\n",
+       "Coordinates:\n",
+       "  * time         (time) object 80B 0051-07-02 12:00:00 ... 0060-07-02 12:00:00\n",
+       "Dimensions without coordinates: bound\n",
+       "Data variables:\n",
+       "    bounds_time  (time, bound) object 160B ...\n",
+       "    FLUT         (time) float64 80B ...\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.0
    " + ], + "text/plain": [ + " Size: 320B\n", + "Dimensions: (time: 10, bound: 2)\n", + "Coordinates:\n", + " * time (time) object 80B 0051-07-02 12:00:00 ... 0060-07-02 12:00:00\n", + "Dimensions without coordinates: bound\n", + "Data variables:\n", + " bounds_time (time, bound) object 160B ...\n", + " FLUT (time) float64 80B ...\n", + "Attributes:\n", + " Conventions: CF-1.0" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds_fp2" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All files are within rtol 1e-5, so the changes should be good to go.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run.cfg b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run.cfg new file mode 100644 index 000000000..a4ad88de4 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run.cfg @@ -0,0 +1,7 @@ +[#] +sets = ["area_mean_time_series"] +case_id = "FSNTOA" +variables = ["FSNTOA"] +ref_names = ["ceres_ebaf_toa_v4.1"] +# regions = ['global', 'land', 'ocean', '90S50S','50S20S','20S20N','20N50N','50N90N'] +regions = ['90S50S'] diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run_script.py b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run_script.py new file mode 100644 index 000000000..6ba432f8c --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run_script.py @@ -0,0 +1,12 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.662-area-mean-time-series.run_script +# chmod -R o=rx /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "area_mean_time_series" +SET_DIR = "662-area-mean-time-series" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/run.cfg" +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/test_non_submonthly.py b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/test_non_submonthly.py new file mode 100644 index 000000000..d5265f116 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/test_non_submonthly.py @@ -0,0 +1,46 @@ +# %% +from datetime import datetime + +import pandas as pd +import xarray as xr +import xcdat as xc + +# %% +fn1 = "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags/time-series/E3SM_v1/FSNS_185001_201312.nc" +var = "FSNS" +slice_flag = "ccb" + +start_time = "2011-01-15" +end_time = "2013-12-15" +time_slice = slice(start_time, end_time, None) + +# %% +ds = xr.open_dataset(fn1) + + +# %% +def get_new_end_time(ds: xr.Dataset, end_time: str) -> str: + # Get the dimension coordinates and bounds key. + time_coords = xc.get_dim_coords(ds, axis="T") + time_dim = time_coords.name + time_bnds_key = time_coords.attrs["bounds"] + + # Extract the sub-dataset for all data at the last time coordinate. + ds_last_time = ds.isel({time_dim: -1}) + + # Get the delta between time coordinates using the difference between + # bounds values. + time_bnds = ds_last_time[time_bnds_key] + time_delta = time_bnds[-1] - time_bnds[0] + time_delta_py = pd.to_timedelta(time_delta.values).to_pytimedelta() + + old_end_time = datetime.strptime(end_time, "%Y-%m-%d") + new_end_time = old_end_time + time_delta_py + new_end_time_str = new_end_time.strftime("%Y-%m-%d") + + return new_end_time_str + + +new_end_time = get_new_end_time(ds, end_time) + +ds.sel(time=slice(start_time, new_end_time, None)).squeeze() diff --git a/auxiliary_tools/cdat_regression_testing/utils.py b/auxiliary_tools/cdat_regression_testing/utils.py index 2434416dd..b23658ba7 100644 --- a/auxiliary_tools/cdat_regression_testing/utils.py +++ b/auxiliary_tools/cdat_regression_testing/utils.py @@ -115,7 +115,7 @@ def sort_columns(df: pd.DataFrame) -> pd.DataFrame: return df_new -def update_diffs_to_pct(df: pd.DataFrame): +def update_diffs_to_pct(df: pd.DataFrame, cols: List[str] = PERCENTAGE_COLUMNS): """Update relative diff columns from float to string percentage. Parameters @@ -129,14 +129,14 @@ def update_diffs_to_pct(df: pd.DataFrame): The final DataFrame containing metrics and diffs (str percentage). """ df_new = df.copy() - df_new[PERCENTAGE_COLUMNS] = df_new[PERCENTAGE_COLUMNS].map( + df_new[cols] = df_new[cols].map( lambda x: "{0:.2f}%".format(x * 100) if not math.isnan(x) else x ) return df_new -def highlight_large_diffs(df: pd.DataFrame): +def highlight_large_diffs(df: pd.DataFrame, cols: List[str] = PERCENTAGE_COLUMNS): if "var_key" not in df.columns and "metric" not in df.columns: df_new = df.reset_index(names=["var_key", "metric"]) else: @@ -144,7 +144,7 @@ def highlight_large_diffs(df: pd.DataFrame): df_new = df_new.style.map( lambda x: "background-color : red" if isinstance(x, str) else "", - subset=pd.IndexSlice[:, PERCENTAGE_COLUMNS], + subset=pd.IndexSlice[:, cols], ) display(df_new) @@ -169,7 +169,7 @@ def get_image_diffs(actual_path: str, expected_path: str): This function is useful for comparing two datasets that can't be compared directly using `np.testing.assert_allclose()` due to `x and y nan location mismatch` error. This error might happen after using the land-sea mask - after regridding, which can differ slightly between xCDAT/xESMF and + after regridding, which can differ slightly between xCDAT/xESMF and CDAT/ESMF. Parameters diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index ef0f012e3..a3b7ca0f0 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -41,18 +41,20 @@ def sum_vars(vars: List[xr.DataArray]) -> xr.DataArray: def qflxconvert_units(var: xr.DataArray): - if ( - var.attrs["units"] == "kg/m2/s" - or var.attrs["units"] == "kg m-2 s-1" - or var.attrs["units"] == "mm/s" - ): - # need to find a solution for units not included in udunits - # var = convert_units( var, 'kg/m2/s' ) - var = var * 3600.0 * 24 # convert to mm/day - var.attrs["units"] = "mm/day" - elif var.attrs["units"] == "mm/hr": - var = var * 24.0 - var.attrs["units"] = "mm/day" + with xr.set_options(keep_attrs=True): + if ( + var.attrs["units"] == "kg/m2/s" + or var.attrs["units"] == "kg m-2 s-1" + or var.attrs["units"] == "mm/s" + ): + # need to find a solution for units not included in udunits + # var = convert_units( var, 'kg/m2/s' ) + var = var * 3600.0 * 24 # convert to mm/day + var.attrs["units"] = "mm/day" + elif var.attrs["units"] == "mm/hr": + var = var * 24.0 + var.attrs["units"] = "mm/day" + return var diff --git a/e3sm_diags/driver/area_mean_time_series_driver.py b/e3sm_diags/driver/area_mean_time_series_driver.py index 20c79416c..997cb1599 100644 --- a/e3sm_diags/driver/area_mean_time_series_driver.py +++ b/e3sm_diags/driver/area_mean_time_series_driver.py @@ -1,17 +1,18 @@ from __future__ import annotations -import collections import json import os -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Literal, NamedTuple -import cdms2 -import cdutil +import xarray as xr +import xcdat as xc -import e3sm_diags -from e3sm_diags.driver import utils +from e3sm_diags.driver import LAND_OCEAN_MASK_PATH, utils +from e3sm_diags.driver.utils.dataset_xr import Dataset, squeeze_time_dim +from e3sm_diags.driver.utils.io import _write_to_netcdf +from e3sm_diags.driver.utils.regrid import _apply_land_sea_mask, _subset_on_region from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import mean +from e3sm_diags.metrics.metrics import spatial_avg from e3sm_diags.plot.cartopy import area_mean_time_series_plot if TYPE_CHECKING: @@ -22,125 +23,87 @@ logger = custom_logger(__name__) -RefsTestMetrics = collections.namedtuple("RefsTestMetrics", ["refs", "test", "metrics"]) - -def create_metrics(ref_domain): - """ - For this plotset, calculate the mean of the - reference data and return a dict of that. - """ - return {"mean": mean(ref_domain)} +class RefsTestMetrics(NamedTuple): + test: xr.Dataset + refs: list + metrics: list def run_diag(parameter: AreaMeanTimeSeriesParameter) -> AreaMeanTimeSeriesParameter: + """Run the diagnostics for area_mean_time_series. + + Parameters + ---------- + parameter : AreaMeanTimeSeriesParameter + The parameter for area_mean_time_series. + + Returns + ------- + AreaMeanTimeSeriesParameter + The parameter for area_mean_time_series with the results of the + diagnostic run. + """ variables = parameter.variables regions = parameter.regions ref_names = parameter.ref_names - # Both input data sets must be time-series files. - # Raising an error will cause this specific set of - # diagnostics with these parameters to be skipped. - # if test_data.is_climo() or ref_data.is_climo(): - # msg = 'Cannot run the plotset regional_mean_time_series ' - # msg += 'because both the test and ref data need to be time-series files.' - # raise RuntimeError(msg) + test_ds = Dataset(parameter, data_type="test") + parameter.test_name_yrs = test_ds.get_name_yrs_attr() + + ds_mask = _get_default_land_sea_mask() for var in variables: - # The data that'll be sent to the plotting function. - # There are eight tuples, each will be plotted like so: - # [ 0 ] [ 1 ] [ 2 ] - # [ ] [ ] [ ] - # - # [ 3 ] [ 4 ] [ 5 ] - # [ ] [ ] [ ] - # - # [ 6 ] [ 7 ] - # [ ] [ ] - regions_to_data = collections.OrderedDict() - save_data = {} logger.info("Variable: {}".format(var)) - # Get land/ocean fraction for masking. - # For now, we're only using the climo data that we saved below. - # So no time-series LANDFRAC or OCNFRAC from the user is used. - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" - ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") + metrics_dict = {} + save_data = {} for region in regions: - # The regions that are supported are in e3sm_diags/derivations/default_regions.py - # You can add your own if it's not in there. logger.info("Selected region: {}".format(region)) - test_data = utils.dataset.Dataset(parameter, test=True) - test = test_data.get_timeseries_variable(var) - logger.info( - "Start and end time for selected time slices for test data: " - f"{test.getTime().asComponentTime()[0]} " - f"{test.getTime().asComponentTime()[-1]}", - ) - parameter.viewer_descr[var] = getattr(test, "long_name", var) - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data - ) - test_domain = utils.general.select_region( - region, test, land_frac, ocean_frac, parameter - ) - - # Average over selected region, and average - # over months to get the yearly mean. - test_domain = cdutil.averager(test_domain, axis="xy") - cdutil.setTimeBoundsMonthly(test_domain) - test_domain_year = cdutil.YEAR(test_domain) - # add back attributes since they got lost after applying cdutil.YEAR - test_domain_year.long_name = test.long_name - test_domain_year.units = test.units + # Test variable metrics. + # ------------------------------------------------------------------ + ds_test = test_ds.get_time_series_dataset(var) + _log_time(ds_test, "test") - save_data[parameter.test_name_yrs] = test_domain_year.asma().tolist() + ds_test_domain_avg = _get_region_yearly_avg( + parameter, ds_test, ds_mask, var, region, data_type="test" + ) + save_data[parameter.test_name_yrs] = ds_test_domain_avg[var].values.tolist() + # Calculate reference metrics (optional, if valid time range). + # ------------------------------------------------------------------ refs = [] for ref_name in ref_names: - setattr(parameter, "ref_name", ref_name) - ref_data = utils.dataset.Dataset(parameter, ref=True) + parameter.ref_name = ref_name - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data - ) + ref_ds = Dataset(parameter, data_type="ref") + parameter.ref_name_yrs = ref_ds.get_name_yrs_attr() + ds_ref_domain_avg_yr = None try: - ref = ref_data.get_timeseries_variable(var) - - ref_domain = utils.general.select_region( - region, ref, land_frac, ocean_frac, parameter + ds_ref = ref_ds.get_time_series_dataset(var) + except (IOError, ValueError): + logger.exception( + "No valid value for reference datasets available for the specified time range" ) - - ref_domain = cdutil.averager(ref_domain, axis="xy") - cdutil.setTimeBoundsMonthly(ref_domain) - logger.info( - ( - "Start and end time for selected time slices for ref data: " - f"{ref_domain.getTime().asComponentTime()[0]} " - f"{ref_domain.getTime().asComponentTime()[-1]}" - ) + else: + ds_ref_domain_avg_yr = _get_region_yearly_avg( + parameter, ds_ref, ds_mask, var, region, data_type="ref" ) - ref_domain_year = cdutil.YEAR(ref_domain) - ref_domain_year.ref_name = ref_name - save_data[ref_name] = ref_domain_year.asma().tolist() + if ds_ref_domain_avg_yr is not None: + save_data[ref_name] = ds_ref_domain_avg_yr.asma().tolist() - refs.append(ref_domain_year) - except Exception: - logger.exception( - "No valid value for reference datasets available for the specified time range" - ) + # Set the ref name attribute on the ref variable for the + # plot label. + ds_ref_domain_avg_yr[var].attrs["ref_name"] = ref_name + refs.append(ds_ref_domain_avg_yr) - # save data for potential later use + # I/O and plotting. + # ------------------------------------------------------------------ parameter.output_file = "-".join([var, region]) fnm = os.path.join( utils.general.get_output_dir(parameter.current_set, parameter), @@ -150,10 +113,77 @@ def run_diag(parameter: AreaMeanTimeSeriesParameter) -> AreaMeanTimeSeriesParame with open(fnm, "w") as outfile: json.dump(save_data, outfile) - regions_to_data[region] = RefsTestMetrics( - test=test_domain_year, refs=refs, metrics=[] + metrics_dict[region] = RefsTestMetrics( + test=ds_test_domain_avg, refs=refs, metrics=[] ) - area_mean_time_series_plot.plot(var, regions_to_data, parameter) + if parameter.save_netcdf: + _write_to_netcdf(parameter, ds_test_domain_avg[var], var, "test") + + parameter.viewer_descr[var] = ds_test[var].attrs.get("long_name", var) + area_mean_time_series_plot.plot(var, parameter, metrics_dict) return parameter + + +def _get_default_land_sea_mask() -> xr.Dataset: + """Get the e3sm_diags default land sea mask. + + Returns + ------- + xr.Dataset + The land sea mask dataset object. + """ + ds_mask = xr.open_dataset(LAND_OCEAN_MASK_PATH) + ds_mask = squeeze_time_dim(ds_mask) + + return ds_mask + + +def _get_region_yearly_avg( + parameter: AreaMeanTimeSeriesParameter, + ds: xr.Dataset, + ds_mask: xr.Dataset, + var: str, + region: str, + data_type: Literal["test", "ref"], +) -> xr.Dataset: + ds_new = ds.copy() + + if "land" in region or "ocean" in region: + ds_new = _apply_land_sea_mask( + ds_new, + ds_mask, + var, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + + if "global" not in region and data_type == "test": + ds_new = _subset_on_region(ds_new, var, region) + + da_region_avg: xr.DataArray = spatial_avg( # type: ignore + ds_new, var, axis=["X", "Y"], as_list=False + ) + + # Convert the DataArray back to a Dataset to add time bounds and + # to calculate the yearly means. + ds_region_avg = da_region_avg.to_dataset() + ds_region_avg = ds_region_avg.bounds.add_time_bounds("freq", freq="month") + if data_type == "ref": + _log_time(ds_region_avg, "ref") + + ds_region_avg_yr = ds_region_avg.temporal.group_average(var, freq="year") + + return ds_region_avg_yr + + +def _log_time(ds: xr.Dataset, data_type: str): + time_coords = xc.get_dim_coords(ds, axis="T").values + + logger.info( + f"Start and end time for selected time slices for {data_type} data: " + f"{time_coords[0]} " + f"{time_coords[1]}", + ) diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 17cc29577..dcb887ac5 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -16,8 +16,10 @@ import glob import os import re +from datetime import datetime from typing import TYPE_CHECKING, Callable, Dict, Literal, Tuple +import pandas as pd import xarray as xr import xcdat as xc @@ -42,6 +44,35 @@ TS_EXT_FILEPATTERN = r"_.{13}.nc" +def squeeze_time_dim(ds: xr.Dataset) -> xr.Dataset: + """Squeeze single coordinate climatology time dimensions. + + For example, "ANN" averages over the year and collapses the time dim. + Time bounds are also dropped if they exist. + + Parameters + ---------- + ds : xr.Dataset + The dataset with a time dimension + + Returns + ------- + xr.Dataset + The dataset with a time dimension. + """ + time_dim = xc.get_dim_coords(ds, axis="T") + + if len(time_dim) == 1: + ds = ds.squeeze(dim=time_dim.name) + ds = ds.drop_vars(time_dim.name) + + bnds_key = time_dim.attrs.get("bounds") + if bnds_key is not None and bnds_key in ds.data_vars.keys(): + ds = ds.drop_vars(bnds_key) + + return ds + + class Dataset: def __init__( self, @@ -408,7 +439,7 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: "it defined in the derived variables dictionary." ) - ds = self._squeeze_time_dim(ds) + ds = squeeze_time_dim(ds) # slat and slon are lat lon pair for staggered FV grid included in # remapped files. @@ -746,7 +777,7 @@ def get_time_series_dataset( The key of the time series variable to get the dataset for. single_point : bool, optional Single point indicating the data is sub monthly, by default False. - If True, center the time coordinates using time bounds. + If False, center the time coordinates using time bounds. Returns ------- @@ -777,7 +808,10 @@ def get_time_series_dataset( ds = self._get_time_series_dataset_obj(self.var) if single_point: - ds = xc.center_times(ds) + self.is_sub_monthly = True + + if not self.is_sub_monthly: + ds = self._center_time_for_non_submonthly_data(ds) return ds @@ -952,7 +986,7 @@ def _get_dataset_with_source_vars(self, vars_to_get: Tuple[str, ...]) -> xr.Data datasets.append(ds) ds = xr.merge(datasets) - ds = self._squeeze_time_dim(ds) + ds = squeeze_time_dim(ds) return ds @@ -974,9 +1008,11 @@ def _get_time_series_dataset_obj(self, var) -> xr.Dataset: f"No time series `.nc` file was found for '{var}' in '{self.root_path}'" ) - time_slice = self._get_time_slice(filepath) + ds = xc.open_dataset( + filepath, add_bounds=["X", "Y", "T"], decode_times=True, use_cftime=True + ) - ds = xr.open_dataset(filepath, decode_times=True, use_cftime=True) + time_slice = self._get_time_slice(ds, filepath) ds_subset = ds.sel(time=time_slice).squeeze() return ds_subset @@ -1102,11 +1138,13 @@ def _get_matching_time_series_filepath( return None - def _get_time_slice(self, filename: str) -> slice: + def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: """Get time slice to subset a dataset. Parameters ---------- + ds : xr.Dataset + The dataset. filename : str The filename. @@ -1120,34 +1158,183 @@ def _get_time_slice(self, filename: str) -> slice: ValueError If invalid date range specified for test/reference time series data. """ - start_year = int(self.start_yr) - end_year = int(self.end_yr) - - if self.is_sub_monthly: - start_time = f"{start_year}-01-01" - end_time = f"{str(int(end_year) + 1)}-01-01" - else: - start_time = f"{start_year}-01-15" - end_time = f"{end_year}-12-15" + start_yr_int = int(self.start_yr) + end_yr_int = int(self.end_yr) # Get the available start and end years from the file name. # Example: {var}_{start_yr}01_{end_yr}12.nc var_start_year = int(filename.split("/")[-1].split("_")[-2][:4]) var_end_year = int(filename.split("/")[-1].split("_")[-1][:4]) - if start_year < var_start_year: + if start_yr_int < var_start_year: raise ValueError( "Invalid year range specified for test/reference time series data: " - f"start_year ({start_year}) < var_start_yr ({var_start_year})." + f"start_year ({start_yr_int}) < var_start_yr ({var_start_year})." ) - elif end_year > var_end_year: + elif end_yr_int > var_end_year: raise ValueError( "Invalid year range specified for test/reference time series data: " - f"end_year ({end_year}) > var_end_yr ({var_end_year})." + f"end_year ({end_yr_int}) > var_end_yr ({var_end_year})." ) + start_yr_str = self._get_year_str(start_yr_int) + end_yr_str = self._get_year_str(end_yr_int) + + if self.is_sub_monthly: + start_time = f"{start_yr_str}-01-01" + end_time = f"{str(int(end_yr_str) + 1)}-01-01" + else: + start_time = f"{start_yr_str}-01-15" + end_time = self._get_end_time_with_bounds(ds, end_yr_str) + return slice(start_time, end_time) + def _get_end_time_with_bounds(self, ds: xr.Dataset, old_end_time_str: str) -> str: + """Get the end time for non-submonthly data using bounds. + + For example, let's say we have non-submonthly time coordinates with a + start time of "2011-01-01" and end time of "2014-01-01". We pre-define + a time slice of ("2011-01-15", "2013-12-15"). However slicing with + an end time of "2013-12-15" will exclude the last coordinate + "2014-01-01". To rectify this situation, we use time bounds to extend + the coordinates like so: + + 1. Get the time delta between bound values ["2013-12-15", + "2014-01-15"], which is one month. + 2. Add the time delta to the old end time of "2013-12-15", which + results in a new end time of "2014-01-15". + 3. Now slice the time coordinates using ("2011-01-15", "2014-01-15"). + This new time slice will correctly subset to include the last + coordinate value of "2014-01-01". + + Parameters + ---------- + ds : xr.Dataset + The dataset. + old_end_time_str : str + The old end time string. + + Returns + ------- + str + The new end time string. + + Notes + ----- + This function replicates the cdms2/cdutil "ccb" slice flag used for + subsetting. "ccb" only allows the right side to be closed. It will get + the difference between bounds values and add it to the last coordinate + point to get a new stopping point to slice on. + """ + time_coords = xc.get_dim_coords(ds, axis="T") + time_dim = time_coords.name + time_bnds_key = time_coords.attrs["bounds"] + + # Extract the sub-dataset for all data at the last time coordinate and + # get the delta between time coordinates using the difference between + # bounds values. + ds_last_time = ds.isel({time_dim: -1}) + time_bnds = ds_last_time[time_bnds_key] + time_delta = time_bnds[-1] - time_bnds[0] + time_delta_py = pd.to_timedelta(time_delta.values).to_pytimedelta() + + # Add the time delta to the old stop point to get a new stop point. + old_stop = datetime.strptime(f"{old_end_time_str}-12-15", "%Y-%m-%d") + new_stop = old_stop + time_delta_py + + # Convert the new stopping point from datetime to an ISO-8061 formatted + # string (e.g., "2012-01-01", "0051-12-01"). + year_str = self._get_year_str(new_stop.year) + month_day_str = self._get_month_day_str(new_stop.month, new_stop.day) + new_stop_str = f"{year_str}-{month_day_str}" + + return new_stop_str + + def _get_year_str(self, year: int) -> str: + """Get the year string in ISO-8601 format from an integer. + + When subsetting with Xarray, Xarray requires time strings to comply + with ISO-8601 (e.g., "2012-01-01"). Otherwise, Xarray will raise + `ValueError: no ISO-8601 or cftime-string-like match for string:` + + This function pads the year string if the year is less than 1000. For + example, year 51 becomes "0051" and year 501 becomes "0501". + + Parameters + ---------- + year : int + The year integer. + + Returns + ------- + str + The year as a string (e.g., "2001", "0001"). + """ + if year >= 0 and year < 1000: + return f"{year:04}" + + return str(year) + + def _get_month_day_str(self, month: int, day: int) -> str: + """Get the month and day string in ISO-8601 format from integers. + + When subsetting with Xarray, Xarray requires time strings to comply + with ISO-8601 (e.g., "2012-01-01"). Otherwise, Xarray will raise + `ValueError: no ISO-8601 or cftime-string-like match for string:` + + This function pads pad the month and/or day string with a "0" if the + value is less than 10. For example, a month of 6 will become "06". + + Parameters + ---------- + month : int + The month integer. + day : int + The day integer. + + Returns + ------- + str + The month day string (e.g., "06-12", "12-05"). + """ + month_str = str(month) + day_str = str(day) + + if month >= 1 and month < 10: + month_str = f"{month:02}" + + if day >= 1 and day < 10: + day_str = f"{day:02}" + + return f"{month_str}-{day_str}" + + def _center_time_for_non_submonthly_data(self, ds: xr.Dataset) -> xr.Dataset: + """Center time coordinates using bounds for non-submonthly data. + + This is important for data where the absolute time doesn't fall in the + middle of the time interval, such as E3SM native format data where + the time was recorded at the end of each time bounds. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + + Returns + ------- + ds : xr.Dataset + The dataset with centered time coordinates. + """ + try: + time_dim = xc.get_dim_keys(ds, axis="T") + except (ValueError, KeyError): + time_dim = None + + if time_dim is not None: + return xc.center_times(ds) + + return ds + def _get_land_sea_mask(self, season: str) -> xr.Dataset: """Get the land sea mask from the dataset or use the default file. @@ -1175,36 +1362,8 @@ def _get_land_sea_mask(self, season: str) -> xr.Dataset: ) ds_mask = xr.open_dataset(LAND_OCEAN_MASK_PATH) - ds_mask = self._squeeze_time_dim(ds_mask) + ds_mask = squeeze_time_dim(ds_mask) else: ds_mask = xr.merge([ds_land_frac, ds_ocean_frac]) return ds_mask - - def _squeeze_time_dim(self, ds: xr.Dataset) -> xr.Dataset: - """Squeeze single coordinate climatology time dimensions. - - For example, "ANN" averages over the year and collapses the time dim. - Time bounds are also dropped if they exist. - - Parameters - ---------- - ds : xr.Dataset - The dataset with a time dimension - - Returns - ------- - xr.Dataset - The dataset with a time dimension. - """ - time_dim = xc.get_dim_coords(ds, axis="T") - - if len(time_dim) == 1: - ds = ds.squeeze(dim=time_dim.name) - ds = ds.drop_vars(time_dim.name) - - bnds_key = time_dim.attrs.get("bounds") - if bnds_key is not None and bnds_key in ds.data_vars.keys(): - ds = ds.drop_vars(bnds_key) - - return ds diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index 4c75a46ec..4eef030ae 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -290,7 +290,7 @@ def _subset_on_region(ds: xr.Dataset, var_key: str, region: str) -> xr.Dataset: Returns ------- xr.Dataset - The dataest with the subsetted variable. + The dataset with the subsetted variable. Notes ----- diff --git a/e3sm_diags/plot/cartopy/area_mean_time_series_plot.py b/e3sm_diags/plot/cartopy/area_mean_time_series_plot.py index eebafc0d4..cd7dc25a0 100644 --- a/e3sm_diags/plot/cartopy/area_mean_time_series_plot.py +++ b/e3sm_diags/plot/cartopy/area_mean_time_series_plot.py @@ -1,93 +1,100 @@ -import os +from __future__ import annotations + +from typing import TYPE_CHECKING, Dict import matplotlib import numpy as np +import xarray as xr -from e3sm_diags.driver.utils.general import get_output_dir from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.plot.utils import _save_plot + +if TYPE_CHECKING: + from e3sm_diags.driver.area_mean_time_series_driver import RefsTestMetrics matplotlib.use("agg") import matplotlib.pyplot as plt # isort:skip # noqa: E402 logger = custom_logger(__name__) +# Data is a list based on the len of the regions parameter. Each element is a +# tuple (test data, ref data and metrics) for that region. +LINE_COLOR = ["r", "b", "g", "m", "c", "y"] + +# Position and sizes of subplot axes in page coordinates (0 to 1). The +# dimensions [left, bottom, width, height] of the new axes. All quantities are +# in fractions of figure width and height. +PANEL_CFG = [ + (0.1, 0.70, 0.25, 0.225), + (0.4, 0.70, 0.25, 0.225), + (0.7, 0.70, 0.25, 0.225), + (0.1, 0.38, 0.25, 0.225), + (0.4, 0.38, 0.25, 0.225), + (0.7, 0.38, 0.25, 0.225), + (0.1, 0.06, 0.25, 0.225), + (0.4, 0.06, 0.25, 0.225), + (0.7, 0.06, 0.25, 0.225), +] + +# Border padding relative to subplot axes for saving individual panels. +# (left, bottom, right, top) in page coordinates. +BORDER_PADDING = (-0.047, -0.06, 0.006, 0.03) + + +def plot( + var: str, + parameter: AreaMeanTimeSeriesParameter, + metrics_dict: Dict[str, RefsTestMetrics], +): + # Create the figure. + fig = plt.figure(figsize=(17.0, 10.0), dpi=parameter.dpi) -def plot(var, regions_to_data, parameter): - # Data is a list based on the len of the regions parameter. - # Each element is a tuple with ref data, - # test data, and metrics for that region. - - # plot time series - - line_color = ["r", "b", "g", "m", "c", "y"] + test_name_yrs = parameter.test_name_yrs + test_name = test_name_yrs.split("(")[0].replace(" ", "") + if test_name == "": + test_name = "test data" - # Position and sizes of subplot axes in page coordinates (0 to 1) - # The dimensions [left, bottom, width, height] of the new axes. All quantities are in fractions of figure width and height. - panel = [ - (0.1, 0.70, 0.25, 0.225), - (0.4, 0.70, 0.25, 0.225), - (0.7, 0.70, 0.25, 0.225), - (0.1, 0.38, 0.25, 0.225), - (0.4, 0.38, 0.25, 0.225), - (0.7, 0.38, 0.25, 0.225), - (0.1, 0.06, 0.25, 0.225), - (0.4, 0.06, 0.25, 0.225), - (0.7, 0.06, 0.25, 0.225), - ] + for idx_region, ds_region in enumerate(metrics_dict.values()): + # Add the figure axis object by region. + ax = fig.add_axes(PANEL_CFG[idx_region]) - # Border padding relative to subplot axes for saving individual panels - # (left, bottom, right, top) in page coordinates - border = (-0.047, -0.06, 0.006, 0.03) + # Plot the test data. + test_var = ds_region.test[var] + test_label = _get_mean_and_std_label(test_var, test_name) + ax.plot(test_var, "k", linewidth=2, label=test_label) - # Create the figure. - figsize = [17.0, 10] - fig = plt.figure(figsize=figsize, dpi=parameter.dpi) - start_time = int(parameter.start_yr) - end_time = int(parameter.end_yr) - num_year = end_time - start_time + 1 - - s = parameter.test_name_yrs - test_name = s.split("(")[0].replace(" ", "") - if test_name == "": - test_name = "test data" + # Plot the list of reference data (if they exist). + refs = ds_region.refs + for idx_ref, ref_var in enumerate(refs): + ref_label = _get_mean_and_std_label(ref_var, ref_var.attrs["ref_name"]) + ax.plot(ref_var, LINE_COLOR[idx_ref], linewidth=2, label=ref_label) - for i_region, data_set_for_region in enumerate(regions_to_data.values()): - refs = data_set_for_region.refs - test = data_set_for_region.test - ax1 = fig.add_axes(panel[i_region]) - ax1.plot( - test.asma(), - "k", - linewidth=2, - label=test_name - + "(mean: {0:.2f}, std: {1:.3f})".format( - np.mean(test.asma()), np.std(test.asma()) - ), - ) - for i_ref, ref in enumerate(refs): - ax1.plot( - ref.asma(), - line_color[i_ref], - linewidth=2, - label=ref.ref_name - + "(mean: {0:.2f}, std: {1:.3f})".format( - np.mean(ref.asma()), np.std(ref.asma()) - ), - ) + # Perform truncation division to accomodate long time records to get + # the step sizes for the X axis ticks. + start_time = int(parameter.start_yr) # type: ignore + end_time = int(parameter.end_yr) # type: ignore + num_year = end_time - start_time + 1 - x = np.arange(num_year) - # do Truncation Division to accommodating long time records if num_year > 19: stepsize = num_year // 10 else: stepsize = 1 - ax1.set_xticks(x[::stepsize]) + + # Configure X and Y axes. + x = np.arange(num_year) + ax.set_xticks(x[::stepsize]) x_ticks_labels = np.arange(start_time, end_time + 1, stepsize) - ax1.set_xticklabels(x_ticks_labels, rotation=45, fontsize=8) - ax1.set_ylabel(var + " (" + test.units + ")") - ax1.set_xlabel("Year") - ax1.legend(loc="best", prop={"size": 7}) - ax1.set_title(parameter.regions[i_region], fontsize=10) + ax.set_xticklabels(x_ticks_labels, rotation=45, fontsize=8) + ax.set_xlabel("Year") + + ax.set_ylabel(var + " (" + test_var.units + ")") + + # Configure legend and title. + ax.legend(loc="best", prop={"size": 7}) + ax.set_title(parameter.regions[idx_region], fontsize=10) # Figure title. fig.suptitle( @@ -97,48 +104,29 @@ def plot(var, regions_to_data, parameter): fontsize=15, ) - # Save the figure. - output_file_name = var - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 + parameter.output_file = var + _save_plot(fig, parameter, PANEL_CFG, BORDER_PADDING) plt.close() + + +def _get_mean_and_std_label(var: xr.DataArray, name: str) -> str: + """Get the plot label using the mean and std deviation of the yearly mean. + + Parameters + ---------- + var : xr.DataArray + The test or reference variable. + name : str + The test or reference label name. + + Returns + ------- + str + The plot label. + """ + mean = np.mean(var) + std = np.std(var) + label = name + f"(mean: {mean:.2f}, std: {std:.3f})" + + return label diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 664b8df76..5aa81e0d7 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -942,9 +942,22 @@ def test_returns_climo_dataset_using_climo_of_time_series_files(self): # Since the data is not sub-monthly, the first time coord (2001-01-01) # is dropped when subsetting with the middle of the month (2000-01-15). expected = self.ds_ts.isel(time=slice(1, 4)) + expected["time"].data[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ) expected["ts"] = xr.DataArray( name="ts", data=np.array([[1.0, 1.0], [1.0, 1.0]]), dims=["lat", "lon"] ) + # Set all of the correct attributes. + expected = expected.assign(**spatial_coords, **spatial_bounds) # type: ignore + expected["lat"].attrs["units"] = "degrees_north" + expected["lat_bnds"].attrs["xcdat_bounds"] = "True" + expected["lon_bnds"].attrs["xcdat_bounds"] = "True" xr.testing.assert_identical(result, expected) @@ -1049,8 +1062,7 @@ def setup(self, tmp_path): self.ts_path = f"{self.data_path}/ts_200001_200112.nc" self.ds_ts = xr.Dataset( coords={ - "lat": [-90, 90], - "lon": [0, 180], + **spatial_coords, "time": xr.DataArray( dims="time", data=np.array( @@ -1079,6 +1091,7 @@ def setup(self, tmp_path): ), }, data_vars={ + **spatial_bounds, "time_bnds": xr.DataArray( name="time_bnds", data=np.array( @@ -1178,6 +1191,14 @@ def test_returns_time_series_dataset_using_file(self): # Since the data is not sub-monthly, the first time coord (2001-01-01) # is dropped when subsetting with the middle of the month (2000-01-15). expected = self.ds_ts.isel(time=slice(1, 4)) + expected["time"].data[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ) xr.testing.assert_identical(result, expected) @@ -1202,54 +1223,20 @@ def test_returns_time_series_dataset_using_sub_monthly_sets(self): def test_returns_time_series_dataset_using_derived_var(self): # We will derive the "PRECT" variable using the "pr" variable. - ds_pr = xr.Dataset( - coords={ - "lat": [-90, 90], - "lon": [0, 180], - "time": xr.DataArray( - dims="time", - data=np.array( - [ - cftime.DatetimeGregorian( - 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 2, 15, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 3, 16, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2001, 1, 16, 12, 0, 0, 0, has_year_zero=False - ), - ], - dtype=object, - ), - attrs={ - "axis": "T", - "long_name": "time", - "standard_name": "time", - "bounds": "time_bnds", - }, - ), - }, - data_vars={ - "pr": xr.DataArray( - xr.DataArray( - data=np.array( - [ - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - ] - ), - dims=["time", "lat", "lon"], - attrs={"units": "mm/s"}, - ) - ), - }, + ds_pr = self.ds_ts.copy() + ds_pr["pr"] = xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, ) + ds_pr = ds_pr.drop_vars("ts") ds_pr.to_netcdf(f"{self.data_path}/pr_200001_200112.nc") parameter = _create_parameter_object( @@ -1259,61 +1246,35 @@ def test_returns_time_series_dataset_using_derived_var(self): ds = Dataset(parameter, data_type="ref") result = ds.get_time_series_dataset("PRECT") - expected = ds_pr.copy() + expected = ds_pr.sel(time=slice("2000-02-01", "2001-01-01")) + expected["time"].data[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ) expected["PRECT"] = expected["pr"] * 3600 * 24 expected["PRECT"].attrs["units"] = "mm/day" xr.testing.assert_identical(result, expected) def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(self): - ds_precst = xr.Dataset( - coords={ - "lat": [-90, 90], - "lon": [0, 180], - "time": xr.DataArray( - dims="time", - data=np.array( - [ - cftime.DatetimeGregorian( - 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 2, 15, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 3, 16, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2001, 1, 16, 12, 0, 0, 0, has_year_zero=False - ), - ], - dtype=object, - ), - attrs={ - "axis": "T", - "long_name": "time", - "standard_name": "time", - "bounds": "time_bnds", - }, - ), - }, - data_vars={ - "PRECST": xr.DataArray( - xr.DataArray( - data=np.array( - [ - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - ] - ), - dims=["time", "lat", "lon"], - attrs={"units": "mm/s"}, - ) - ), - }, + ds_precst = self.ds_ts.copy() + ds_precst["PRECST"] = xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, ) + ds_precst = ds_precst.drop_vars("ts") ds_precst.to_netcdf(f"{self.data_path}/PRECST_200001_200112.nc") parameter = _create_parameter_object( @@ -1324,6 +1285,16 @@ def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(sel result = ds.get_time_series_dataset("PRECST") expected = ds_precst.copy() + expected = ds_precst.sel(time=slice("2000-02-01", "2001-01-01")) + expected["PRECST"].attrs["units"] = "mm/s" + expected["time"].data[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ) xr.testing.assert_identical(result, expected) @@ -1338,7 +1309,9 @@ def test_raises_error_if_no_datasets_found_to_derive_variable(self): with pytest.raises(IOError): ds.get_time_series_dataset("PRECT") - def test_returns_time_series_dataset_with_centered_time_if_single_point(self): + def test_returns_time_series_dataset_without_centered_time_if_single_point_data( + self, + ): self.ds_ts.to_netcdf(self.ts_path) parameter = _create_parameter_object( @@ -1350,9 +1323,25 @@ def test_returns_time_series_dataset_with_centered_time_if_single_point(self): result = ds.get_time_series_dataset("ts", single_point=True) expected = self.ds_ts.copy() + + xr.testing.assert_identical(result, expected) + + def test_returns_time_series_dataset_with_centered_time_if_non_sub_monthly_data( + self, + ): + self.ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + ds.is_sub_monthly = False + + result = ds.get_time_series_dataset("ts") + expected = self.ds_ts.isel(time=slice(1, 4)) expected["time"].data[:] = np.array( [ - cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1379,6 +1368,14 @@ def test_returns_time_series_dataset_using_file_with_ref_name_prepended(self): # Since the data is not sub-monthly, the first time coord (2001-01-01) # is dropped when subsetting with the middle of the month (2000-01-15). expected = ds_ts.isel(time=slice(1, 4)) + expected["time"].data[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + ], + dtype=object, + ) xr.testing.assert_identical(result, expected) diff --git a/tests/test_area_mean_time_series.py b/tests/test_area_mean_time_series.py new file mode 100644 index 000000000..464090415 --- /dev/null +++ b/tests/test_area_mean_time_series.py @@ -0,0 +1 @@ +# TODO From 008911838ea841ff26bbdb965e86d8e27214c49e Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 3 Jun 2024 14:15:02 -0700 Subject: [PATCH 18/41] [Refactor]: Validate fix in PR #750 for #759 (#815) --- .gitignore | 1 + .../759-slice-flag/671-diags.cfg | 9 + .../759-slice-flag/debug/ds_a.nc | Bin 0 -> 877568 bytes .../759-slice-flag/debug/ds_b.nc | Bin 0 -> 877568 bytes .../759-slice-flag/debug/ds_b_regrid.nc | Bin 0 -> 611170 bytes .../759-slice-flag/debug/mv1.nc | Bin 0 -> 99336 bytes .../759-slice-flag/debug/mv2.nc | Bin 0 -> 99247 bytes .../759-slice-flag/debug/mv2_regrid.nc | Bin 0 -> 99247 bytes .../759-slice-flag/debug/trefht.py | 93 + .../debug/trefht_regrid_visual.py | 65 + .../759-slice-flag/debug_TREFHT_actual.png | Bin 0 -> 43085 bytes .../759-slice-flag/debug_TREFHT_diff.png | Bin 0 -> 7912 bytes .../759-slice-flag/debug_TREFHT_expected.png | Bin 0 -> 45584 bytes .../759-slice-flag/ex1.py | 64 + .../759-slice-flag/regression-test-json.ipynb | 793 +++++++++ .../regression-test-netcdf.ipynb | 1565 +++++++++++++++++ e3sm_diags/driver/utils/regrid.py | 17 +- 17 files changed, 2599 insertions(+), 8 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/671-diags.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/ds_a.nc create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/ds_b.nc create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/ds_b_regrid.nc create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/mv1.nc create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/mv2.nc create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/mv2_regrid.nc create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht.py create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht_regrid_visual.py create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug_TREFHT_actual.png create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug_TREFHT_diff.png create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/debug_TREFHT_expected.png create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/ex1.py create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/regression-test-json.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/759-slice-flag/regression-test-netcdf.ipynb diff --git a/.gitignore b/.gitignore index f1dd4a421..1409d072f 100644 --- a/.gitignore +++ b/.gitignore @@ -110,6 +110,7 @@ ENV/ # NetCDF files needed !e3sm_diags/driver/acme_ne30_ocean_land_mask.nc +!auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/*.nc # Folder for storing quality assurance files and notes qa/ \ No newline at end of file diff --git a/auxiliary_tools/cdat_regression_testing/759-slice-flag/671-diags.cfg b/auxiliary_tools/cdat_regression_testing/759-slice-flag/671-diags.cfg new file mode 100644 index 000000000..4c132d16d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/759-slice-flag/671-diags.cfg @@ -0,0 +1,9 @@ +[#] +sets = ["lat_lon"] +case_id = "model_vs_model" +variables = ["TREFHT"] +regions = ["land"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] +regrid_method = "bilinear" \ No newline at end of file diff --git a/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/ds_a.nc b/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/ds_a.nc new file mode 100644 index 0000000000000000000000000000000000000000..e96267bf683cb8f3f41a6498542c3251af8b7329 GIT binary patch literal 877568 zcmeFa3!K(f)&6}W9toAy6isbBqakx(I1HgPauO900r8l_zzi@p%+N3(k%!SdrDh%o zF*VJ|%BPI9ddO2_nx`lanU-mxm6@5*$+FDeweNj>34TRphxfhy@1OZRd9n6hd+lql 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zk?|)`dnK#6rz5}G+G2dzJ;Ha&D(yYTqRRb=ZwFM`517aG+|}QT4Y_+RDo0Jk?~IF0 zE~s3AeZnF9Ix)6Yk1!#V=KIj?C3k`h?OO#K)mcwGz0b_XK`5VS>``w~3H~MzRGG7kEe$)^O3 z1)09oD~Rf`rLqj4zFc>$+~vQOTqEo$0VlOw)4zmT3dx&-NyU^9XWZ_enUjBzad`Dh oCuhGjUgjE5{%<--_IHqn@eCFMgNxz+kEJ{}0ixKWGqoH4138%z4gdfE literal 0 HcmV?d00001 diff --git a/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht.py b/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht.py new file mode 100644 index 000000000..f96ee8c6d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht.py @@ -0,0 +1,93 @@ +# %% +import os + +import cdms2 +import numpy as np +import xarray as xr +import xcdat as xc # noqa: F401 + +var_key = "TREFHT" +regrid_tool = "esmf" +regrid_method = "bilinear" + +dir_path = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/" +fp_a = os.path.join(dir_path, "ds_a.nc") +fp_b = os.path.join(dir_path, "ds_b.nc") +fp_mv1 = os.path.join(dir_path, "mv1.nc") +fp_mv2 = os.path.join(dir_path, "mv2.nc") + + +# %% +# Regridding with xCDAT +ds_a = xr.open_dataset(fp_a) +ds_b = xr.open_dataset(fp_b) + +output_grid = ds_a.regridder.grid +ds_b_regrid = ds_b.regridder.horizontal( + var_key, output_grid, tool=f"x{regrid_tool}", method=regrid_method +) + +# Write out to netCDF for visualization +# ds_b_regrid.to_netcdf("ds_b_regrid.nc") + +# %% +# Regridding with CDAT +ds_mv1 = cdms2.open(fp_mv1) +ds_mv2 = cdms2.open(fp_mv2) + +mv1 = ds_mv1("variable_21") +mv2 = ds_mv2("variable_36") +mv_grid = mv1.getGrid() +mv2_reg = mv2.regrid(mv_grid, regridTool=regrid_tool, regridMethod=regrid_method) + +# Write out to netCDF for visualization +# f1 = cdms2.open("mv2_regrid.nc", "w") +# f1.write(mv2) +# f1.close() + +# %% +""" +1. Compare CDAT original data with regridded data + +Result: There is no difference between the original and regridded reference +data. +""" +# Test closeness (same) +np.testing.assert_allclose(mv2, mv2_reg, atol=0, rtol=0) + +mv2_filled = mv2.filled(np.nan) +mv2_reg_filled = mv2_reg.filled(np.nan) + +# Count of np.nan: 22170 vs. 22170 (same) +np.count_nonzero(np.isnan(mv2_filled.flatten())) == np.count_nonzero( + np.isnan(mv2_reg_filled.flatten()) +) +# Sum: -68837.01023016105 vs. -68837.01023016105 (same) +np.nansum(mv2_filled) == np.nansum(mv2_reg_filled) +# Mean: -6.342086809486 == -6.342086809486 (same) +np.nanmean(mv2_filled) == np.nanmean(mv2_reg_filled) + +# %% +""" +2. Compare regridded data between xCDAT and CDAT + +Result: The regridded reference data produced by xCDAT results in more `np.nan`, +which subsequently results in different np.nan locations, sum, and mean. + +In https://github.com/E3SM-Project/e3sm_diags/pull/794, I noted that there +seems tobe a minor difference in how the bilinear regridding works with xCDAT + xESMF vs. +CDAT + ESMF. +""" +# Test closeness (x and y nan location mismatch) +np.testing.assert_allclose(ds_b_regrid[var_key].values, mv2_reg, atol=0, rtol=0) + +# Count of np.nan: 23150 vs. 22170 (different) +np.count_nonzero(np.isnan(ds_b_regrid[var_key].values.flatten())) == np.count_nonzero( + np.isnan(mv2_reg_filled.flatten()) +) +# Sum: -77674.06388742107 vs. -68837.01023016105 (different) +np.nansum(ds_b_regrid[var_key].values) == np.nansum(mv2_reg_filled.data) +# Mean: -7.866524598685545 vs. -6.342086809486 (different) +np.nanmean(ds_b_regrid[var_key].values) == np.nanmean(mv2_reg_filled.data) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht_regrid_visual.py b/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht_regrid_visual.py new file mode 100644 index 000000000..1915f9dac --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/trefht_regrid_visual.py @@ -0,0 +1,65 @@ +"""This script compares the xCDAT and CDAT regridded reference data results. + +The `debug_TREFHT_diff.png` shows there there is a difference along the coastlines +of the continents. CDAT doesn't seem to actually regrid the data, which is +noted in `trefht_cdat_only_visual.py`. +""" +# %% +import os + +import numpy as np +import xarray as xr + +from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs + +dir_path = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/759-slice-flag/debug/" +fp_a = os.path.join(dir_path, "ds_b_regrid.nc") +fp_b = os.path.join(dir_path, "mv2_regrid.nc") + + +# %% +ds1 = xr.open_dataset(fp_a) +ds2 = xr.open_dataset(fp_b) + +var_key = "TREFHT" +ds2["TREFHT"] = ds2["variable_36"].copy() +ds2 = ds2.drop_vars("variable_36") + +# %% +try: + np.testing.assert_allclose(ds1[var_key], ds2[var_key]) +except AssertionError as e: + print(e) + +# %% +# Check the sum values -- close +# array(213927.85820162) +np.abs(ds1[var_key]).sum() + +# %% +# array(228804.60960445) +np.abs(ds2[var_key]).sum() + +# Check the mean values -- close +# array(-7.8665246) +ds1[var_key].mean() + +# array(-6.34208681) 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Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 29\u001b[0m\n\u001b[1;32m 26\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 28\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[0;32m---> 29\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH." + ] + } + ], + "source": [ + "from typing import List\n", + "import glob\n", + "\n", + "import pandas as pd\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_rel_diffs,\n", + " get_num_metrics_above_diff_thres,\n", + " highlight_large_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " PERCENTAGE_COLUMNS,\n", + ")\n", + "\n", + "\n", + "SET_NAME = \"lat_lon\"\n", + "SET_DIR = \"759-slice-flag\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/old-runs/671-lat-lon/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "dev_filenames = [filepaths.split(\"/\")[-1] for filepaths in DEV_GLOB]\n", + "main_filenames = [filepaths.split(\"/\")[-1] for filepaths in MAIN_GLOB]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'-ERFtot-ANN-global.json'}" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "set(dev_filenames) ^ set(main_filenames)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def get_metrics(filepaths: List[str]) -> pd.DataFrame:\n", + " \"\"\"Get the metrics using a glob of `.json` metric files in a directory.\n", + "\n", + " Parameters\n", + " ----------\n", + " filepaths : List[str]\n", + " The filepaths for metrics `.json` files.\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The DataFrame containing the metrics for all of the variables in\n", + " the results directory.\n", + " \"\"\"\n", + " metrics = []\n", + "\n", + " for filepath in filepaths:\n", + " df = pd.read_json(filepath)\n", + "\n", + " filename = filepath.split(\"/\")[-1]\n", + " var_key = filename.split(\"-\")[1]\n", + " region = filename.split(\"-\")[-1].replace(\".json\", \"\")\n", + "\n", + " # Add the variable key to the MultiIndex and update the index\n", + " # before stacking to make the DataFrame easier to parse.\n", + " multiindex = pd.MultiIndex.from_product([[var_key], [region], [*df.index]])\n", + " df = df.set_index(multiindex)\n", + " df.stack()\n", + "\n", + " metrics.append(df)\n", + "\n", + " df_final = pd.concat(metrics)\n", + "\n", + " # Reorder columns and drop \"unit\" column (string dtype breaks Pandas\n", + " # arithmetic).\n", + " df_final = df_final[[\"test\", \"ref\", \"test_regrid\", \"ref_regrid\", \"diff\", \"misc\"]]\n", + "\n", + " return df_final" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB).drop(\"ERFtot\", level=0)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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    2TREFHTlandstdNaNNaNNaNNaNNaNNaN17.94774317.947743NaN18.71867518.1941962.80%NaNNaNNaN
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    " + ], + "text/plain": [ + " var_key region metric test_dev test_main test DIFF (%) ref_dev \\\n", + "0 SST global min -1.788055 -1.788055 NaN -1.676941 \n", + "1 TREFHT land mean 9.114572 9.114572 NaN 7.957917 \n", + "2 TREFHT land std NaN NaN NaN NaN \n", + "\n", + " ref_main ref DIFF (%) test_regrid_dev test_regrid_main \\\n", + "0 -1.676941 NaN -1.788055 -1.788055 \n", + "1 7.957917 NaN 9.114572 9.114572 \n", + "2 NaN NaN 17.947743 17.947743 \n", + "\n", + " test_regrid DIFF (%) ref_regrid_dev ref_regrid_main ref_regrid DIFF (%) \\\n", + "0 NaN -1.108276 -1.676941 51.31% \n", + "1 NaN 7.131257 7.957917 11.59% \n", + "2 NaN 18.718675 18.194196 2.80% \n", + "\n", + " misc_dev misc_main misc DIFF (%) \n", + "0 NaN NaN NaN \n", + "1 NaN NaN NaN \n", + "2 NaN NaN NaN " + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_final_adj" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
     var_keyregionmetrictest_devtest_maintest DIFF (%)ref_devref_mainref DIFF (%)test_regrid_devtest_regrid_maintest_regrid DIFF (%)ref_regrid_devref_regrid_mainref_regrid DIFF (%)misc_devmisc_mainmisc DIFF (%)
    0SSTglobalmin-1.788055-1.788055nan-1.676941-1.676941nan-1.788055-1.788055nan-1.108276-1.67694151.31%nannannan
    1TREFHTlandmean9.1145729.114572nan7.9579177.957917nan9.1145729.114572nan7.1312577.95791711.59%nannannan
    2TREFHTlandstdnannannannannannan17.94774317.947743nan18.71867518.1941962.80%nannannan
    \n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_final_adj)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "- The last remaining large diff is the regridded `TREFHT` `\"land\"` mean. This will be addressed in a separate PR.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.9" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/759-slice-flag/regression-test-netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/759-slice-flag/regression-test-netcdf.ipynb new file mode 100644 index 000000000..cd7a385f2 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/759-slice-flag/regression-test-netcdf.ipynb @@ -0,0 +1,1565 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "from typing import Tuple\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"area_mean_time_series\"\n", + "SET_DIR = \"662-area-mean-time-series\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-area-mean-time-series\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-area-mean-time-series\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main-area-mean-time-series\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (72 and 72).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20N50N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20S20N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50N90N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50S20S_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-90S50S_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-global_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-ocean_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20N50N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20S20N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50N90N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50S20S_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-90S50S_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-land_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-ocean_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20N50N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20S20N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50N90N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50S20S_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-90S50S_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-land_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-ocean_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20N50N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20S20N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50N90N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50S20S_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-90S50S_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-land_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/LWCF/LWCF-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-ocean_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20N50N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20S20N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50N90N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50S20S_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-90S50S_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-land_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/PRECT/PRECT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-ocean_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20N50N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20S20N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50N90N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50S20S_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-90S50S_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-global_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-land_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/QFLX/QFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-ocean_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20N50N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20S20N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50N90N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50S20S_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-90S50S_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-global_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-land_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-ocean_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20N50N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20S20N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50N90N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50S20S_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-90S50S_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-land_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/SWCF/SWCF-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-ocean_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20N50N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20S20N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50N90N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50S20S_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-90S50S_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-land_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-ocean_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "# We are mainly focusing on relative tolerance here (in percentage terms).\n", + "atol = 0\n", + "rtol = 1e-5\n", + "\n", + "count_mismatch = 0\n", + "\n", + "for filepath_dev in DEV_GLOB:\n", + " if \"test.nc\" in filepath_dev or \"ref.nc\" in filepath_dev:\n", + " filepath_main = filepath_dev.replace(SET_DIR, \"main-area-mean-time-series\")\n", + " print(\"Comparing:\")\n", + " print(filepath_dev, \"\\n\", filepath_main)\n", + " ds1 = xr.open_dataset(filepath_dev)\n", + " ds2 = xr.open_dataset(filepath_main)\n", + "\n", + " var_key = filepath_dev.split(\"/\")[-2]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = filepath_dev.split(\"-\")[-4]\n", + "\n", + " print(\"var_key\", var_key)\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " count_mismatch += 1\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "72" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_mismatch" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "fp1 = \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/662-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\"\n", + "fp2 = \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\"" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "ds_fp1 = xr.open_dataset(fp1)\n", + "ds_fp2 = xr.open_dataset(fp2)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
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""" specs = REGION_SPECS[region] - lat, lon = specs.get("lat"), specs.get("lon") # type: ignore + ds_new = ds.copy() + if lat is not None: lat_dim = xc.get_dim_keys(ds[var_key], axis="Y") - ds = ds.sortby(lat_dim) - ds = ds.sel({f"{lat_dim}": slice(*lat)}) + ds_new = ds_new.sortby(lat_dim) + ds_new = ds_new.sel({f"{lat_dim}": slice(*lat)}) if lon is not None: lon_dim = xc.get_dim_keys(ds[var_key], axis="X") - ds = ds.sortby(lon_dim) - ds = ds.sel({f"{lon_dim}": slice(*lon)}) + ds_new = ds_new.sortby(lon_dim) + ds_new = ds_new.sel({f"{lon_dim}": slice(*lon)}) - return ds + return ds_new def _subset_on_arm_coord(ds: xr.Dataset, var_key: str, arm_site: str): From dd8002ad58e8f17d5ca2c85264dc999fcc63af63 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 22 Jul 2024 15:44:09 -0700 Subject: [PATCH 19/41] CDAT Migration Phase 2: Refactor `diurnal_cycle` set (#819) --- .../666-diurnal-cycle/regression_test.ipynb | 810 ++++++++++++++++++ .../regression_test_png.ipynb | 399 +++++++++ .../666-diurnal-cycle/run.cfg | 10 + .../666-diurnal-cycle/run_script.py | 12 + .../template_cdat_regression_test_png.ipynb | 394 +++++++++ .../cdat_regression_testing/utils.py | 29 +- e3sm_diags/driver/diurnal_cycle_driver.py | 160 ++-- e3sm_diags/driver/utils/diurnal_cycle_xr.py | 288 +++++++ e3sm_diags/driver/utils/io.py | 16 +- e3sm_diags/driver/utils/regrid.py | 16 +- e3sm_diags/plot/cartopy/diurnal_cycle_plot.py | 322 ------- e3sm_diags/plot/diurnal_cycle_plot.py | 309 +++++++ e3sm_diags/plot/utils.py | 86 +- 13 files changed, 2409 insertions(+), 442 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_png.ipynb create mode 100644 e3sm_diags/driver/utils/diurnal_cycle_xr.py delete mode 100644 e3sm_diags/plot/cartopy/diurnal_cycle_plot.py create mode 100644 e3sm_diags/plot/diurnal_cycle_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test.ipynb b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test.ipynb new file mode 100644 index 000000000..1b889e1b8 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test.ipynb @@ -0,0 +1,810 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"diurnal_cycle\"\n", + "SET_DIR = \"666-diurnal-cycle\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_keys = [\n", + " \"PRECT_diurnal_cycmean\",\n", + " \"PRECT_diurnal_amplitude\",\n", + " \"PRECT_diurnal_phase\",\n", + " ]\n", + " for key in var_keys:\n", + " print(f\" * var_key: {key}\")\n", + "\n", + " dev_data = ds1[key].values\n", + " main_data = ds2[key].values\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (60 and 60).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All files are within rtol 1e-05.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test_png.ipynb new file mode 100644 index 000000000..083ab37d4 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/regression_test_png.ipynb @@ -0,0 +1,399 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"diurnal_cycle\"\n", + "SET_DIR = \"666-diurnal-cycle\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-diurnal-cycle\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-diurnal-cycle\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "Number of files missing: 60\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (60 vs. 30).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[14], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (60 vs. 30)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n", + " * Plots are identical\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run.cfg b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run.cfg new file mode 100644 index 000000000..fb5fadd36 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run.cfg @@ -0,0 +1,10 @@ +[#] +sets = ["diurnal_cycle"] +case_id = "TRMM-3B43v-7_3hr" +variables = ["PRECT"] +ref_name = "TRMM-3B43v-7_3hr" +# seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN"] +# regions = ["CONUS", "20S20N", "W_Pacific", "Amazon","global","50S50N"] +regions = ["20S20N"] +reference_name = "TRMM-3B43v-7" diff --git a/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run_script.py b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run_script.py new file mode 100644 index 000000000..b0028b999 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run_script.py @@ -0,0 +1,12 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.666-diurnal-cycle.run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "diurnal_cycle" +SET_DIR = "666-diurnal-cycle" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/666-diurnal-cycle/run.cfg" +MULTIPROCESSING = True + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_png.ipynb new file mode 100644 index 000000000..373dbf5b6 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/template_cdat_regression_test_png.ipynb @@ -0,0 +1,394 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"diurnal_cycle\"\n", + "SET_DIR = \"666-diurnal-cycle\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-diurnal-cycle\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-diurnal-cycle\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "Number of files missing: 60\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (60 vs. 30).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[17], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[14], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (60 vs. 30)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/666-diurnal-cycle/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n", + " * Plots are identical\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/utils.py b/auxiliary_tools/cdat_regression_testing/utils.py index b23658ba7..2f8fa69ae 100644 --- a/auxiliary_tools/cdat_regression_testing/utils.py +++ b/auxiliary_tools/cdat_regression_testing/utils.py @@ -1,4 +1,5 @@ import math +import os from typing import List import pandas as pd @@ -163,7 +164,7 @@ def get_num_metrics_above_diff_thres( ) -def get_image_diffs(actual_path: str, expected_path: str): +def get_image_diffs(actual_path: str, expected_path: str) -> str | None: """Get the diffs between two images. This function is useful for comparing two datasets that can't be compared @@ -183,10 +184,28 @@ def get_image_diffs(actual_path: str, expected_path: str): expected_png = Image.open(expected_path).convert("RGB") diff = ImageChops.difference(actual_png, expected_png) - draw = ImageDraw.Draw(diff) - (left, upper, right, lower) = diff.getbbox() - draw.rectangle(((left, upper), (right, lower)), outline="red") - diff_path = actual_path.replace("actual", "diff") + try: + (left, upper, right, lower) = diff.getbbox() + except TypeError as e: + if "cannot unpack non-iterable NoneType object" in str(e): + print(" * Plots are identical") + + return None + else: + draw.rectangle(((left, upper), (right, lower)), outline="red") + + # Create the diff directory. + split_actual_path = actual_path.split("/") + split_actual_path[-2] = f"{split_actual_path[-2]}_diff" + actual_dir_path = ("/").join(split_actual_path[0:-1]) + os.makedirs(actual_dir_path, exist_ok=True) + + # Save the png file to the diff directory. + diff_path = ("/").join(split_actual_path) diff.save(diff_path) + + print(f" * Difference path {diff_path}") + + return diff_path diff --git a/e3sm_diags/driver/diurnal_cycle_driver.py b/e3sm_diags/driver/diurnal_cycle_driver.py index 5dc252816..83f2a66fc 100644 --- a/e3sm_diags/driver/diurnal_cycle_driver.py +++ b/e3sm_diags/driver/diurnal_cycle_driver.py @@ -1,14 +1,15 @@ from __future__ import annotations -import os -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Literal -import cdms2 +import xarray as xr -import e3sm_diags -from e3sm_diags.driver import utils +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.diurnal_cycle_xr import composite_diurnal_cycle +from e3sm_diags.driver.utils.io import _get_output_filename_filepath +from e3sm_diags.driver.utils.regrid import _apply_land_sea_mask, _subset_on_region from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import plot +from e3sm_diags.plot.diurnal_cycle_plot import plot as plot_func logger = custom_logger(__name__) @@ -22,94 +23,109 @@ def run_diag(parameter: DiurnalCycleParameter) -> DiurnalCycleParameter: ref_name = getattr(parameter, "ref_name", "") regions = parameter.regions - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - - for season in seasons: - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) - - # Get land/ocean fraction for masking. - try: - land_frac = test_data.get_climo_variable("LANDFRAC", season) - ocean_frac = test_data.get_climo_variable("OCNFRAC", season) - except Exception: - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" - ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") - - for var in variables: - logger.info("Variable: {}".format(var)) - test = test_data.get_climo_variable(var, season) - ref = ref_data.get_climo_variable(var, season) - - parameter.var_id = var - parameter.viewer_descr[var] = ( - test.long_name - if hasattr(test, "long_name") - else "No long_name attr in test data." - ) + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key + + for season in seasons: + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) + + ds_land_sea_mask: xr.Dataset = test_ds._get_land_sea_mask(season) + + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = ref_ds.get_climo_dataset(var_key, season) for region in regions: - test_domain = utils.general.select_region( - region, test, land_frac, ocean_frac, parameter - ) - ref_domain = utils.general.select_region( - region, ref, land_frac, ocean_frac, parameter + if "land" in region or "ocean" in region: + test_domain = _apply_land_sea_mask( + ds_test, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + + ref_domain = _apply_land_sea_mask( + ds_ref, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + else: + test_domain = ds_test.copy() + ref_domain = ds_ref.copy() + + test_domain = _subset_on_region(test_domain, var_key, region) + ref_domain = _subset_on_region(ref_domain, var_key, region) + + parameter.viewer_descr[var_key] = ds_test[var_key].attrs.get( + "long_name", "No long_name attr in test data." ) - - parameter.output_file = "-".join([ref_name, var, season, region]) + parameter.output_file = "-".join([ref_name, var_key, season, region]) parameter.main_title = str( - " ".join([var, "Diurnal Cycle ", season, region]) + " ".join([var_key, "Diurnal Cycle ", season, region]) ) ( test_cmean, test_amplitude, test_maxtime, - ) = utils.diurnal_cycle.composite_diurnal_cycle(test_domain, season) + ) = composite_diurnal_cycle( + test_domain, var_key, season + ) # type: ignore ( ref_cmean, ref_amplitude, ref_maxtime, - ) = utils.diurnal_cycle.composite_diurnal_cycle(ref_domain, season) + ) = composite_diurnal_cycle( + ref_domain, var_key, season + ) # type: ignore + parameter.var_region = region - plot( - parameter.current_set, + + plot_func( test_maxtime, test_amplitude, ref_maxtime, ref_amplitude, parameter, ) - utils.general.save_ncfiles( - parameter.current_set, - test_cmean, - ref_cmean, - None, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - test_amplitude, - ref_amplitude, - None, - parameter, + + ds_out_test = xr.Dataset( + data_vars={ + test_cmean.name: test_cmean, + test_amplitude.name: test_amplitude, + test_maxtime.name: test_maxtime, + } ) - utils.general.save_ncfiles( - parameter.current_set, - test_maxtime, - ref_maxtime, - None, - parameter, + ds_out_ref = xr.Dataset( + data_vars={ + ref_cmean.name: ref_cmean, + ref_amplitude.name: ref_amplitude, + ref_maxtime.name: ref_maxtime, + } ) + _write_vars_to_netcdf(parameter, var_key, ds_out_test, "test") + _write_vars_to_netcdf(parameter, var_key, ds_out_ref, "ref") + return parameter + + +def _write_vars_to_netcdf( + parameter: DiurnalCycleParameter, + var_key: str, + ds: xr.Dataset, + data_type: Literal["test", "ref"], +): + _, filepath = _get_output_filename_filepath(parameter, data_type) + + ds.to_netcdf(filepath) + + logger.info(f"'{var_key}' {data_type} variable output saved in: {filepath}") diff --git a/e3sm_diags/driver/utils/diurnal_cycle_xr.py b/e3sm_diags/driver/utils/diurnal_cycle_xr.py new file mode 100644 index 000000000..cf4a1a6ea --- /dev/null +++ b/e3sm_diags/driver/utils/diurnal_cycle_xr.py @@ -0,0 +1,288 @@ +from __future__ import annotations + +from typing import Tuple + +import numpy as np +import numpy.ma as ma +import xarray as xr +import xcdat as xc + +from e3sm_diags.driver.utils.climo_xr import CLIMO_CYCLE_MAP, ClimoFreq +from e3sm_diags.logger import custom_logger + +logger = custom_logger(__name__) + +SEASON_IDX = { + "01": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "02": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "03": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], + "04": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], + "05": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], + "06": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], + "07": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], + "08": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], + "09": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], + "10": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], + "11": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], + "12": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], + "DJF": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], + "MAM": [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], + "JJA": [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], + "SON": [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], + "ANN": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], +} + + +def composite_diurnal_cycle( + ds: xr.Dataset, var_key: str, season: ClimoFreq, fft: bool = True +) -> Tuple[xr.DataArray, np.ndarray] | Tuple[xr.DataArray, xr.DataArray, xr.DataArray]: + """Compute the composite diurnal cycle for a variable for a given season. + + TODO: Add unit tests for this function. + + Parameters + ---------- + ds : xr.Dataset + The dataset containing the variable. + var_key : str + The key of the variable. + season : ClimoFreq + The season for the climatology. + fft : bool, optional + Calculate using Fast Fourier transform, by default True. + + Returns + ------- + Tuple[xr.DataArray, np.ndarray] | Tuple[xr.DataArray, xr.DataArray, xr.DataArray] + Either a tuple containing the DataArray for the diurnal cycle of the variable + and the time coordinates as LST, or a tuple of three DataArrays for mean, + amplitudes, and times-of-maximum of the first Fourier harmonic component + (if ``fft=True``). + """ + var = ds[var_key].copy() + + lat, lon = _get_lat_and_lon(var) + time = _get_time(ds, var_key) + time_freq, start_time = _get_time_freq_and_start_time(time) + + site = lat is None and lon is None + if site: + nlat = 1 + nlon = 1 + + lat = [lat] # type: ignore + lon = [lon] # type: ignore + else: + nlat = len(lat) # type: ignore + nlon = len(lon) # type: ignore + + var_diurnal = _calc_var_diurnal(var, season, time, time_freq, site) + + # Convert GMT to LST + nt = time_freq + lst = np.zeros((nt, nlat, nlon)) + for it, itime in enumerate(np.arange(0, 24, 24 / nt)): + for ilon in range(nlon): + lst[it, :, ilon] = (itime + start_time + lon[ilon] / 360 * 24) % 24 # type: ignore + + # Compute mean, amplitude and max time of the first three Fourier components. + if not fft: + return var_diurnal, lst + else: + cycmean, maxvalue, tmax = _fft_all_grid(var_diurnal, lst) + + amplitude_data = np.zeros((nlat, nlon)) + amplitude_data[:, :] = maxvalue[0] + amplitude = xr.DataArray( + name="PRECT_diurnal_amplitude", + data=amplitude_data, + coords={lat.name: lat, lon.name: lon}, # type: ignore + attrs={ + "longname": "Amplitude of diurnal cycle of PRECT", + "units": var.units, + }, + ) + + maxtime_data = np.zeros((nlat, nlon)) + maxtime_data[:, :] = tmax[0] + maxtime = xr.DataArray( + name="PRECT_diurnal_phase", + data=maxtime_data, + coords={lat.name: lat, lon.name: lon}, # type: ignore + attrs={ + "longname": "Phase of diurnal cycle of PRECT", + "units": "hour", + }, + ) + + cmean_data = np.zeros((nlat, nlon)) + cmean_data[:, :] = cycmean + cmean = xr.DataArray( + name="PRECT_diurnal_cycmean", + data=cmean_data, + coords={lat.name: lat, lon.name: lon}, # type: ignore + attrs={ + "longname": "Mean of diurnal cycle of PRECT", + "units": "hour", + }, + ) + + return cmean, amplitude, maxtime + + +def _calc_var_diurnal( + var: xr.DataArray, season: str, time: xr.DataArray, time_freq: int, site: bool +) -> xr.DataArray: + cycle = CLIMO_CYCLE_MAP.get(season, [season]) + ncycle = len(cycle) + + # var_diurnal has shape i.e. (ncycle, ntimesteps, [lat,lon]) for lat lon data + var_diurnal = ma.zeros([ncycle] + [time_freq] + list(np.shape(var))[1:]) + + for n in range(ncycle): + # Get time index for each month/season. + time_idxs = [] + + for time_idx in range(len(time)): + month_idx = (time[time_idx].dt.month - 1).item() + cycle_idx = cycle[n] + + time_idxs.append(SEASON_IDX[cycle_idx][month_idx]) + + time_idxs = np.array(time_idxs, dtype=int).nonzero() # type: ignore + + var_reshape = np.reshape( + var[time_idxs].values, + (int(var[time_idxs].shape[0] / time_freq), time_freq) + + var[time_idxs].shape[1:], + ) + var_diurnal[n,] = ma.average( + var_reshape, + axis=0, + ) + + if not site: + var_diurnal = np.squeeze(var_diurnal) + + return var_diurnal + + +def _get_time(ds: xr.Dataset, var_key: str) -> xr.DataArray: + ds_decoded = xr.decode_cf(ds, decode_times=True, use_cftime=True) + + try: + time = xc.get_dim_coords(ds_decoded, axis="T") + except (ValueError, KeyError): + raise KeyError( + f"This variable ({var_key}) does not have a time axis. " + "Climatology cannot be run on this variable." + ) + + return time + + +def _get_time_freq_and_start_time(time: xr.DataArray) -> Tuple[int, int]: + time_0 = time[0].dt.hour + time[0].dt.minute / 60 + time[0].dt.second / 3600 + time_1 = time[1].dt.hour + time[1].dt.minute / 60 + time[1].dt.second / 3600 + + time_freq = int(24 / (time_1 - time_0)) + start_time = time_0 + + logger.info(f"start_time {time.values[0]} {start_time.item()}") + logger.info(f"var_time_freq={time_freq}") + + return time_freq, start_time + + +def _get_lat_and_lon( + var: xr.DataArray, +) -> Tuple[xr.DataArray | None, xr.DataArray | None]: + lat = None + lon = None + + try: + lat = xc.get_dim_coords(var, axis="Y") + except (ValueError, KeyError): + pass + + try: + lon = xc.get_dim_coords(var, axis="X") + except (ValueError, KeyError): + pass + + return lat, lon + + +def _fft_all_grid( + var_diurnal: xr.DataArray, lst_time: np.ndarray +) -> Tuple[np.ndarray, np.ndarray, np.ndarray]: + """Calculate Fast Fourier transform. + + This version of fastFT does all gridpoints at once. It uses a numerical + Python function to compute a FAST Fourier transform, which should give the + same result as a simple SLOW Fourier integration via the trapezoidal rule. + + Do NOT detrend the time series first, in order to retain the "sawtooth" + frequency implied by the inumpy.t length of the time series (e.g. the + 24-hour period from a composite-diurnal cycle). + + On inumpy.t: x[k,i,j] = values at each gridpoint (i,j) for N times (k), + - e.g. N = 8 for a 3-hr composite-diurnal cycle t[k,i,j] = timepoints + at each gridpoint (i,j) for N times (k), e.g. Local Standard Times + + On output: c[i,j] = mean value at each gridpoint (i,j) in the time series + ("zeroth" term in Fourier series) + - maxvalue[n,i,j] = amplitude at each gridpoint (i,j) for each + Fourier harmonic (n) + - tmax [n,i,j] = time of maximum at each gridpoint (i,j) for each + Fourier harmonic (n) + + Source: Curt Covey, PCMDI/LLNL (December 2016) + + Parameters + ---------- + var_diurnal : xr.DataArray + The diurnal cycle for the variable. + lst_time : np.ndarray + A numpy array of LST time values. + + Returns + ------- + Tuple[np.ndarray, np.ndarray, np.ndarray] + A tuple of numpy arrays for mean, amplitudes, and times-of-maximum of + the first three Fourier harmonic components of the diurnal cycle of a + variable. + """ + # Creating output arrays + if len(var_diurnal.shape) == 1: + nx = 1 + ny = 1 + else: + nx = var_diurnal.shape[1] + ny = var_diurnal.shape[2] + + # time of maximum for nth component (n=0 => diurnal, n=1 => semi...) + tmax = np.zeros((3, nx, ny)) + # value of maximum for nth component (= 1/2 peak-to-peak amplitude) + maxvalue = np.zeros((3, nx, ny)) + + logger.info( + "Calling numpy FFT function and converting from complex-valued FFT to real-valued amplitude and phase" + ) + X = np.fft.ifft(var_diurnal, axis=0) + logger.info("FFT output shape={}".format(X.shape)) + + # Converting from complex-valued FFT to real-valued amplitude and phase + a = X.real + b = X.imag + S = np.sqrt(a**2 + b**2) + c = S[0] # Zeroth harmonic = mean-value "constant term" in Fourier series. + for n in range(3): + # Adding first + last terms, second + second-to-last, ... + maxvalue[n] = S[n + 1] + S[-n - 1] + tmax[n] = np.arctan2(b[n + 1], a[n + 1]) + tmax[n] = tmax[n] * 12.0 / (np.pi * (n + 1)) # Radians to hours + tmax[n] = tmax[n] + lst_time[0] # GMT to LST + tmax[n] = tmax[n] % (24 / (n + 1)) + + return c, maxvalue, tmax diff --git a/e3sm_diags/driver/utils/io.py b/e3sm_diags/driver/utils/io.py index 35f867ad3..df9bed067 100644 --- a/e3sm_diags/driver/utils/io.py +++ b/e3sm_diags/driver/utils/io.py @@ -119,15 +119,12 @@ def _write_vars_to_netcdf( def _write_to_netcdf( - parameter, + parameter: CoreParameter, var: xr.DataArray, var_key: str, data_type: Literal["test", "ref", "diff"], ): - dir_path = _get_output_dir(parameter) - filename = f"{parameter.output_file}_{data_type}.nc" - - filepath = os.path.join(dir_path, filename) + filename, filepath = _get_output_filename_filepath(parameter, data_type) var.to_netcdf(filepath) @@ -136,6 +133,15 @@ def _write_to_netcdf( return filename +def _get_output_filename_filepath(parameter: CoreParameter, data_type: str): + dir_path = _get_output_dir(parameter) + filename = f"{parameter.output_file}_{data_type}.nc" + + filepath = os.path.join(dir_path, filename) + + return filename, filepath + + def _write_vars_to_single_netcdf( parameter: CoreParameter, var_key, diff --git a/e3sm_diags/driver/utils/regrid.py b/e3sm_diags/driver/utils/regrid.py index 64bad7875..98e30a619 100644 --- a/e3sm_diags/driver/utils/regrid.py +++ b/e3sm_diags/driver/utils/regrid.py @@ -301,16 +301,22 @@ def _subset_on_region(ds: xr.Dataset, var_key: str, region: str) -> xr.Dataset: ds_new = ds.copy() - if lat is not None: - lat_dim = xc.get_dim_keys(ds[var_key], axis="Y") - ds_new = ds_new.sortby(lat_dim) - ds_new = ds_new.sel({f"{lat_dim}": slice(*lat)}) - if lon is not None: lon_dim = xc.get_dim_keys(ds[var_key], axis="X") ds_new = ds_new.sortby(lon_dim) + + # TODO: Add a unit test for this + is_lon_axis_diff = lon[0] < 0 and ds_new[lon_dim].values[0] >= 0 + if is_lon_axis_diff: + ds_new = xc.swap_lon_axis(ds_new, to=(-180, 180)) + ds_new = ds_new.sel({f"{lon_dim}": slice(*lon)}) + if lat is not None: + lat_dim = xc.get_dim_keys(ds[var_key], axis="Y") + ds_new = ds_new.sortby(lat_dim) + ds_new = ds_new.sel({f"{lat_dim}": slice(*lat)}) + return ds_new diff --git a/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py b/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py deleted file mode 100644 index b1073af88..000000000 --- a/e3sm_diags/plot/cartopy/diurnal_cycle_plot.py +++ /dev/null @@ -1,322 +0,0 @@ -from __future__ import print_function - -import os - -import cartopy.crs as ccrs -import cartopy.feature as cfeature -import cdutil -import matplotlib -import numpy as np -import numpy.ma as ma -from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter -from matplotlib.colors import hsv_to_rgb - -from e3sm_diags.derivations.default_regions import regions_specs -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger - -logger = custom_logger(__name__) - -matplotlib.use("Agg") # noqa: E402 -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.55, 0.6465, 0.2758), - (0.1691, 0.15, 0.6465, 0.2758), -] -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def determine_tick_step(degrees_covered): - if degrees_covered >= 270: - return 60 - if degrees_covered >= 180: - return 30 - if degrees_covered >= 90: - return 25 - if degrees_covered >= 60: - return 20 - elif degrees_covered >= 30: - return 10 - elif degrees_covered >= 20: - return 5 - else: - return 1 - - -def plot_panel(n, fig, proj, var, amp, amp_ref, title, parameter): - normalize_test_amp = parameter.normalize_test_amp - specified_max_amp = parameter.normalize_amp_int - - lat = var.getLatitude() - var = ma.squeeze(var.asma()) - max_amp = round(amp.max()) - max_amp_ref = round(amp_ref.max()) - amp = ma.squeeze(amp.asma()) - amp_ref = ma.squeeze(amp_ref.asma()) - - if normalize_test_amp: - img = np.dstack( - ((var / 24 - 0.5) % 1, (amp / max_amp_ref) ** 0.5, np.ones_like(amp)) - ) - max_amp = max_amp_ref - logger.info( - f"Scale test diurnal cycle amplitude to max of reference ({max_amp_ref}) mm/day" - ) - else: - if specified_max_amp != 0: - max_amp = specified_max_amp - - img = np.dstack( - ((var / 24 - 0.5) % 1, (amp / max_amp) ** 0.5, np.ones_like(amp)) - ) - logger.info(f"Scale test diurnal cycle amplitude to specified {max_amp} mm/day") - # Note: hsv_to_rgb would clipping input data to the valid range for imshow with RGB data ([0..1] - img = hsv_to_rgb(img) - - # imshow plot - ax = fig.add_axes(panel[n], projection=proj) - - region_str = parameter.regions[0] - region = regions_specs[region_str] - global_domain = True - full_lon = True - if "domain" in region.keys(): # type: ignore - # Get domain to plot - domain = region["domain"] # type: ignore - global_domain = False - else: - # Assume global domain - domain = cdutil.region.domain(latitude=(-90.0, 90, "ccb")) - kargs = domain.components()[0].kargs - # lon_west, lon_east, lat_south, lat_north = (0, 360, -90, 90) - lon_west, lon_east, lat_south, lat_north = (-180, 180, -90, 90) - if "longitude" in kargs: - full_lon = False - lon_west, lon_east, _ = kargs["longitude"] - # Note cartopy Problem with gridlines across the dateline:https://github.com/SciTools/cartopy/issues/821. Region cross dateline is not supported yet. - if lon_west > 180 and lon_east > 180: - lon_west = lon_west - 360 - lon_east = lon_east - 360 - - if "latitude" in kargs: - lat_south, lat_north, _ = kargs["latitude"] - lon_covered = lon_east - lon_west - lon_step = determine_tick_step(lon_covered) - xticks = np.arange(lon_west, lon_east, lon_step) - # Subtract 0.50 to get 0 W to show up on the right side of the plot. - # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the left side of the plot. - # If a number is added, then the value won't show up at all. - if global_domain or full_lon: - xticks = [0, 60, 120, 180, 240, 300, 359.99] # type: ignore - else: - xticks = np.append(xticks, lon_east) - proj = ccrs.PlateCarree() - - lat_covered = lat_north - lat_south - lat_step = determine_tick_step(lat_covered) - yticks = np.arange(lat_south, lat_north, lat_step) - yticks = np.append(yticks, lat_north) - - ax.set_extent([lon_west, lon_east, lat_south, lat_north]) # , crs=proj) - - # Full world would be aspect 360/(2*180) = 1 - # ax.set_aspect((lon_east - lon_west)/(2*(lat_north - lat_south))) - ax.coastlines(lw=0.3) - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - ax.set_xticks(xticks, crs=ccrs.PlateCarree()) - # ax.set_xticks([0, 60, 120, 180, 240, 300, 359.99], crs=ccrs.PlateCarree()) - ax.set_yticks(yticks, crs=ccrs.PlateCarree()) - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - # set a margin around the data - ax.set_xmargin(0.05) - ax.set_ymargin(0.10) - - ax.set_ylim([yticks[0], yticks[-1]]) - - # add the image. Because this image was a tif, the "origin" of the image is in the - # upper left corner - img_extent = [lon_west, lon_east, lat_south, lat_north] - - # When the requested region is inconsistent with what the data covered (`global` is secified but TRMM only has 50S-5N), set an arbitrary threhold. - if global_domain and lat_covered - abs(lat[0] - lat[-1]) > 10: - img_extent = [lon_west, lon_east, lat[0], lat[-1]] - # ax.imshow(img, origin='lower', extent=img_extent, transform=ccrs.PlateCarree()) - ax.imshow(img, origin="lower", extent=img_extent, transform=proj) - if region_str == "CONUS": - ax.coastlines(resolution="50m", color="black", linewidth=0.3) - state_borders = cfeature.NaturalEarthFeature( - category="cultural", - name="admin_1_states_provinces_lakes", - scale="50m", - facecolor="none", - ) - ax.add_feature(state_borders, edgecolor="black") - - # Color bar - bar_ax = fig.add_axes( - (panel[n][0] + 0.67, panel[n][1] + 0.2, 0.07, 0.07), polar=True - ) - theta, R = np.meshgrid(np.linspace(0, 2 * np.pi, 24), np.linspace(0, 1, 8)) - H, S = np.meshgrid(np.linspace(0, 1, 24), np.linspace(0, 1, 8)) - image = np.dstack(((H - 0.5) % 1, S**0.5, np.ones_like(S))) - image = hsv_to_rgb(image) - # bar_ax.set_theta_zero_location('N') - bar_ax.set_theta_direction(-1) - bar_ax.set_theta_offset(np.pi / 2) - bar_ax.set_xticklabels(["0h", "3h", "6h", "9h", "12h", "15h", "18h", "21h"]) - bar_ax.set_yticklabels(["", "", f"{int(max_amp)}"]) - bar_ax.set_rlabel_position(350) - bar_ax.get_yticklabels()[-2].set_weight("bold") - # We change the fontsize of minor ticks label - bar_ax.tick_params(axis="both", labelsize=7, pad=0, length=0) - bar_ax.text( - 0.2, - -0.3, - "Local Time", - transform=bar_ax.transAxes, - fontsize=7, - verticalalignment="center", - ) - bar_ax.text( - -0.1, - -0.9, - "Max DC amp {:.2f}{}".format(amp.max(), "mm/d"), - transform=bar_ax.transAxes, - fontsize=7, - fontweight="bold", - verticalalignment="center", - ) - bar_ax.text( - -0.1, - -0.5, - "DC phase (Hue)", - transform=bar_ax.transAxes, - fontsize=7, - verticalalignment="center", - ) - bar_ax.text( - -0.1, - -0.7, - "DC amplitude (Saturation)", - transform=bar_ax.transAxes, - fontsize=7, - verticalalignment="center", - ) - color = image.reshape((image.shape[0] * image.shape[1], image.shape[2])) - pc = bar_ax.pcolormesh(theta, R, np.zeros_like(R), color=color, shading="auto") - pc.set_array(None) - - -def plot(test_tmax, test_amp, ref_tmax, ref_amp, parameter): - if parameter.backend not in ["cartopy", "mpl", "matplotlib"]: - return - - # Create figure, projection - fig = plt.figure(figsize=[8.5, 8.5], dpi=parameter.dpi) - proj = ccrs.PlateCarree(central_longitude=180) - - # First panel - plot_panel( - 0, - fig, - proj, - test_tmax, - test_amp, - ref_amp, - (parameter.test_name_yrs, parameter.test_title), - parameter, - ) - - # Second panel - plot_panel( - 1, - fig, - proj, - ref_tmax, - ref_amp, - ref_amp, - (parameter.ref_name_yrs, parameter.reference_title), - parameter, - ) - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.9, fontsize=14) - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/enso_diags/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/enso_diags/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file is defined in e3sm_diags/driver/enso_diags_driver.py - # {parameter.results_dir}/enso_diags/{parameter.case_id}/{parameter.output_file} - file_path = os.path.join(output_dir, parameter.output_file) - # {parameter.orig_results_dir}/enso_diags/{parameter.case_id}/{parameter.output_file} - original_file_path = os.path.join(original_output_dir, parameter.output_file) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - original_plot_file_path = original_file_path + plot_suffix - logger.info(f"Plot saved in: {original_plot_file_path}") - - # Save individual subplots - for f in parameter.output_format_subplot: - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - subplot_suffix = ".%i." % (i) + f - subplot_file_path = file_path + subplot_suffix - plt.savefig(subplot_file_path, bbox_inches=extent) - # Get the filename that the user has passed in and display that. - original_subplot_file_path = original_file_path + subplot_suffix - logger.info(f"Sub-plot saved in: {original_subplot_file_path}") - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/diurnal_cycle_plot.py b/e3sm_diags/plot/diurnal_cycle_plot.py new file mode 100644 index 000000000..9a0625556 --- /dev/null +++ b/e3sm_diags/plot/diurnal_cycle_plot.py @@ -0,0 +1,309 @@ +from typing import Tuple + +import cartopy.crs as ccrs +import cartopy.feature as cfeature +import matplotlib +import numpy as np +import xarray as xr +import xcdat as xc +from matplotlib.colors import hsv_to_rgb + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.plot.utils import ( + _configure_titles, + _configure_x_and_y_axes, + _get_x_ticks, + _get_y_ticks, + _save_plot, +) + +logger = custom_logger(__name__) + +matplotlib.use("Agg") # noqa: E402 +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + + +# Position and sizes of subplot axes in page coordinates (0 to 1) +PANEL_CFG = [ + (0.1691, 0.55, 0.6465, 0.2758), + (0.1691, 0.15, 0.6465, 0.2758), +] + + +def plot( + test_maxtime: xr.DataArray, + test_amplitude: xr.DataArray, + ref_maxtime: xr.DataArray, + ref_amplitude: xr.DataArray, + parameter: DiurnalCycleParameter, +): + fig = plt.figure(figsize=(8.5, 8.5), dpi=parameter.dpi) + fig.suptitle(parameter.main_title, x=0.5, y=0.9, fontsize=14) + + _add_colormap( + 0, + test_maxtime, + test_amplitude, + ref_amplitude, + fig, + parameter, + (parameter.test_name_yrs, parameter.test_title, None), + ) + + _add_colormap( + 1, + ref_maxtime, + ref_amplitude, + ref_amplitude, + fig, + parameter, + (parameter.ref_name_yrs, parameter.reference_title, None), + ) + + _save_plot(fig, parameter, PANEL_CFG) + + plt.close() + + +def _add_colormap( + subplot_num: int, + test_maxtime: xr.DataArray, + test_amplitude: xr.DataArray, + ref_maxtime: xr.DataArray, + fig: plt.Figure, + parameter: DiurnalCycleParameter, + title: Tuple[str, str, None], +): + """Adds a colormap containing the test max time, test amplitude, and ref amplitude. + + Parameters + ---------- + subplot_num : int + The subplot number + test_maxtime : xr.DataArray + The test max time. + test_amplitude : xr.DataArray + The test amplitude. + ref_amplitude : xr.DataArray + The ref amplitude. + fig : plt.Figure + The figure object to add the subplot to. + parameter : DiurnalCycleParameter + The parameter object containing plot configurations. + title : Tuple[str, str, None] + A tuple of strings to fomr the title of the color in the format + (test_name_yrs, reference_title). None is the third value because + the child function expects a tuple of three optional strings. + """ + normalize_test_amp = parameter.normalize_test_amp + specified_max_amp = parameter.normalize_amp_int + + lat = xc.get_dim_coords(test_maxtime, axis="Y") + test_maxtime = test_maxtime.squeeze() + max_amp = round(test_amplitude.max().item()) + max_amp_ref = round(ref_maxtime.max().item()) + test_amplitude = test_amplitude.squeeze() + ref_maxtime = ref_maxtime.squeeze() + + if normalize_test_amp: + img = np.dstack( + ( + (test_maxtime / 24 - 0.5) % 1, + (test_amplitude / max_amp_ref) ** 0.5, + np.ones_like(test_amplitude), + ) + ) + max_amp = max_amp_ref + logger.info( + f"Scale test diurnal cycle amplitude to max of reference ({max_amp_ref}) mm/day" + ) + else: + if specified_max_amp != 0: + max_amp = specified_max_amp + + img = np.dstack( + ( + (test_maxtime / 24 - 0.5) % 1, + (test_amplitude / max_amp) ** 0.5, + np.ones_like(test_amplitude), + ) + ) + logger.info(f"Scale test diurnal cycle amplitude to specified {max_amp} mm/day") + + # NOTE: hsv_to_rgb would clipping input data to the valid range for imshow + # with RGB data ([0..1] + img = hsv_to_rgb(img) + + # Get region info and X and Y plot ticks. + # -------------------------------------------------------------------------- + region_key = parameter.regions[0] + region_specs = REGION_SPECS[region_key] + + # Get the region's domain slices for latitude and longitude if set, or + # use the default value. If both are not set, then the region type is + # considered "global". + lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore + lon_slice = region_specs.get("lon", (-180, 180)) # type: ignore + + # Boolean flags for configuring plots. + is_global_domain = lat_slice == (-90, 90) and lon_slice == (-180, 180) + is_lon_full = lon_slice == (-180, 180) + + # Determine X and Y ticks using longitude and latitude domains respectively. + lon_west, lon_east = lon_slice + x_ticks = _get_x_ticks( + lon_west, + lon_east, + is_global_domain, + is_lon_full, + axis_orientation=360, + tick_step_func=_determine_tick_step, + ) + + lat_south, lat_north = lat_slice + y_ticks = _get_y_ticks(lat_south, lat_north, tick_step_func=_determine_tick_step) + + # Get the figure Axes object using the projection above. + # -------------------------------------------------------------------------- + ax = fig.add_axes( + PANEL_CFG[subplot_num], projection=ccrs.PlateCarree(central_longitude=180) + ) + + # Configure the aspect ratio and coast lines. + # -------------------------------------------------------------------------- + # Full world would be aspect 360/(2*180) = 1 + ax.set_extent([lon_west, lon_east, lat_south, lat_north]) + ax.coastlines(lw=0.3) + + # Configure the titles and x and y axes. + # -------------------------------------------------------------------------- + _configure_titles(ax, title) + + _configure_x_and_y_axes( + ax, x_ticks, y_ticks, ccrs.PlateCarree(), parameter.current_set + ) + + ax.set_xmargin(0.05) + ax.set_ymargin(0.10) + ax.set_ylim([y_ticks[0], y_ticks[-1]]) + + # # Add the image. Because this image was a tif, the "origin" of the image + # is in the upper left corner + # -------------------------------------------------------------------------- + img_extent = [lon_west, lon_east, lat_south, lat_north] + + # Get the cartopy projection based on region info. + # -------------------------------------------------------------------------- + # When the requested region is inconsistent with what the data covered + # (`global`) is secified but TRMM only has 50S-5N), set an arbitrary + # threhold. + lat_covered = lat_north - lat_south + if is_global_domain and lat_covered - abs(lat[0] - lat[-1]) > 10: + img_extent = [lon_west, lon_east, lat[0], lat[-1]] + + imshow_projection = ccrs.PlateCarree() + if is_global_domain or is_lon_full: + imshow_projection = ccrs.PlateCarree(central_longitude=180) + + ax.imshow(img, origin="lower", extent=img_extent, transform=imshow_projection) + + if region_key == "CONUS": + ax.coastlines(resolution="50m", color="black", linewidth=0.3) + state_borders = cfeature.NaturalEarthFeature( + category="cultural", + name="admin_1_states_provinces_lakes", + scale="50m", + facecolor="none", + ) + ax.add_feature(state_borders, edgecolor="black") + + # Configure the colorbar + # -------------------------------------------------------------------------- + bar_ax = fig.add_axes( + (PANEL_CFG[subplot_num][0] + 0.67, PANEL_CFG[subplot_num][1] + 0.2, 0.07, 0.07), + polar=True, + ) + + H, S = np.meshgrid(np.linspace(0, 1, 24), np.linspace(0, 1, 8)) + image = np.dstack(((H - 0.5) % 1, S**0.5, np.ones_like(S))) + image = hsv_to_rgb(image) + + bar_ax.set_theta_direction(-1) + bar_ax.set_theta_offset(np.pi / 2) + bar_ax.set_rlabel_position(350) + + bar_ax.set_xticklabels(["0h", "3h", "6h", "9h", "12h", "15h", "18h", "21h"]) + bar_ax.set_yticklabels(["", "", f"{int(max_amp)}"]) + bar_ax.get_yticklabels()[-2].set_weight("bold") + + # Update the fontsize of minor ticks label. + bar_ax.tick_params(axis="both", labelsize=7, pad=0, length=0) + bar_ax.text( + 0.2, + -0.3, + "Local Time", + transform=bar_ax.transAxes, + fontsize=7, + verticalalignment="center", + ) + bar_ax.text( + -0.1, + -0.9, + "Max DC amp {:.2f}{}".format(test_amplitude.max(), "mm/d"), + transform=bar_ax.transAxes, + fontsize=7, + fontweight="bold", + verticalalignment="center", + ) + bar_ax.text( + -0.1, + -0.5, + "DC phase (Hue)", + transform=bar_ax.transAxes, + fontsize=7, + verticalalignment="center", + ) + bar_ax.text( + -0.1, + -0.7, + "DC amplitude (Saturation)", + transform=bar_ax.transAxes, + fontsize=7, + verticalalignment="center", + ) + + theta, R = np.meshgrid(np.linspace(0, 2 * np.pi, 24), np.linspace(0, 1, 8)) + color = image.reshape((image.shape[0] * image.shape[1], image.shape[2])) + pc = bar_ax.pcolormesh(theta, R, np.zeros_like(R), color=color, shading="auto") + pc.set_array(None) + + +def _determine_tick_step(degrees_covered: float) -> int: + """Determine the number of tick steps based on the degrees covered by the axis. + + Parameters + ---------- + degrees_covered : float + The degrees covered by the axis. + + Returns + ------- + int + The number of tick steps. + """ + if degrees_covered >= 270: + return 60 + if degrees_covered >= 180: + return 30 + if degrees_covered >= 90: + return 25 + if degrees_covered >= 60: + return 20 + elif degrees_covered >= 30: + return 10 + elif degrees_covered >= 20: + return 5 + else: + return 1 diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index ad308dbe5..5ffa65486 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -1,7 +1,7 @@ from __future__ import annotations import os -from typing import List, Tuple +from typing import Callable, List, Literal, Tuple import cartopy.crs as ccrs import matplotlib @@ -246,8 +246,38 @@ def _add_contour_plot( return c_plot +def _determine_tick_step(degrees_covered: float) -> int: + """Determine the number of tick steps based on the degrees covered by the axis. + + Parameters + ---------- + degrees_covered : float + The degrees covered by the axis. + + Returns + ------- + int + The number of tick steps. + """ + if degrees_covered > 180: + return 60 + if degrees_covered > 60: + return 30 + elif degrees_covered > 30: + return 10 + elif degrees_covered > 20: + return 5 + else: + return 1 + + def _get_x_ticks( - lon_west: float, lon_east: float, is_global_domain: bool, is_lon_full: bool + lon_west: float, + lon_east: float, + is_global_domain: bool, + is_lon_full: bool, + axis_orientation: Literal[180, 360] = 180, + tick_step_func: Callable = _determine_tick_step, ) -> np.ndarray: """Get the X axis ticks based on the longitude domain slice. @@ -261,6 +291,11 @@ def _get_x_ticks( If the domain type is "global". is_lon_full : bool True if the longitude domain is (0, 360). + axis_orientation : Literal[180, 360] + The longitude axis orientation, by default 180. + tick_step_func : Callable + A function to determine the tick step, which might vary between sets, + by default `_determine_tick_step`. Returns ------- @@ -276,7 +311,7 @@ def _get_x_ticks( lon_east = lon_east - 360 lon_covered = lon_east - lon_west - lon_step = _determine_tick_step(lon_covered) + lon_step = tick_step_func(lon_covered) x_ticks = np.arange(lon_west, lon_east, lon_step) @@ -285,14 +320,21 @@ def _get_x_ticks( # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the # left side of the plot. If a number is added, then the value won't # show up at all. - x_ticks = np.append(x_ticks, lon_east - 0.50) + if axis_orientation == 360: + x_ticks = np.array([0, 60, 120, 180, 240, 300, 359.99], dtype=float) + else: + x_ticks = np.append(x_ticks, lon_east - 0.50) else: x_ticks = np.append(x_ticks, lon_east) return x_ticks -def _get_y_ticks(lat_south: float, lat_north: float) -> np.ndarray: +def _get_y_ticks( + lat_south: float, + lat_north: float, + tick_step_func: Callable = _determine_tick_step, +) -> np.ndarray: """Get Y axis ticks. Parameters @@ -301,6 +343,9 @@ def _get_y_ticks(lat_south: float, lat_north: float) -> np.ndarray: The south point (e.g., -180). lat_north : float The north point (e.g., 180). + tick_step_func : Callable + A function to determine the tick step, which might vary between sets, + by default `_determine_tick_step`. Returns ------- @@ -309,41 +354,16 @@ def _get_y_ticks(lat_south: float, lat_north: float) -> np.ndarray: """ lat_covered = lat_north - lat_south - lat_step = _determine_tick_step(lat_covered) + lat_step = tick_step_func(lat_covered) y_ticks = np.arange(lat_south, lat_north, lat_step) y_ticks = np.append(y_ticks, lat_north) return y_ticks -def _determine_tick_step(degrees_covered: float) -> int: - """Determine the number of tick steps based on the degrees covered by the axis. - - Parameters - ---------- - degrees_covered : float - The degrees covered by the axis. - - Returns - ------- - int - The number of tick steps. - """ - if degrees_covered > 180: - return 60 - if degrees_covered > 60: - return 30 - elif degrees_covered > 30: - return 10 - elif degrees_covered > 20: - return 5 - else: - return 1 - - def _configure_titles( ax: matplotlib.axes.Axes, - title: Tuple[str | None, str, str], + title: Tuple[str | None, str | None, str | None], main_fontsize: float = MAIN_TITLE_FONTSIZE, secondary_fontsize: float = SECONDARY_TITLE_FONTSIZE, ): @@ -353,7 +373,7 @@ def _configure_titles( ---------- ax : matplotlib.axes.Axes The figure axes object. - title : Tuple[str | None, str, str] + title : Tuple[str | None, str | None, str | None] A tuple of strings to form the title of the colormap, in the format ( years, title, units). main_fontsize : float From 3088e0e6c92807484dc7b131b1035732692cec8a Mon Sep 17 00:00:00 2001 From: Jill Chengzhu Zhang Date: Thu, 25 Jul 2024 14:30:51 -0700 Subject: [PATCH 20/41] CDAT Migration: Refactor annual_cycle_zonal_mean set (#798) * Refactor `annual_cycle_zonal_mean` set * Address PR review comments * Add lat lon regression testing * Add debugging scripts * Update `_open_climo_dataset()` to decode times as workaround to misaligned time coords - Update `annual_cycle_zonal_mean_plot.py` to convert time coordinates to month integers * Fix unit tests * Remove old plotter * Add script to debug decode_times=True and ncclimo file * Update plotter time values to month integers * Fix slow `.load()` and multiprocessing issue - Due to incorrectly updating `keep_bnds` logic - Add `_encode_time_coords()` to workaround cftime issue `ValueError: "months since" units only allowed for "360_day" calendar` * Update `_encode_time_coords()` docstring * Add AODVIS debug script * update AODVIS obs datasets; regression test results --------- Co-authored-by: Tom Vo --- .../669-annual_cycle_zonal_mean.cfg | 57 + ...nal_mean_cdat_regression_test_netcdf.ipynb | 253 ++ .../669-annual_cycle_zonal_mean_run_script.py | 14 + .../debug/debug_AODVIS.py | 62 + .../debug/debug_decode_times.py | 43 + .../debug_nco_open_mf_dataset_issue_1.py | 76 + .../debug_nco_open_mf_dataset_issue_2.py | 31 + .../669_lat_lon.cfg | 1732 +++++++++++ ...69_lat_lon_cdat_regression_test_json.ipynb | 492 ++++ ..._lat_lon_cdat_regression_test_netcdf.ipynb | 2550 +++++++++++++++++ .../669_lat_lon_run_script.py | 11 + .../driver/annual_cycle_zonal_mean_driver.py | 289 +- .../annual_cycle_zonal_mean_model_vs_obs.cfg | 1 + e3sm_diags/driver/utils/climo_xr.py | 1 + e3sm_diags/driver/utils/dataset_xr.py | 62 +- .../plot/annual_cycle_zonal_mean_plot.py | 134 + .../cartopy/annual_cycle_zonal_mean_plot.py | 189 -- .../viewer/annual_cycle_zonal_mean_viewer.py | 2 +- .../test_annual_cycle_zonal_mean_driver.py | 53 +- .../driver/utils/test_dataset_xr.py | 73 +- 20 files changed, 5715 insertions(+), 410 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_cdat_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_AODVIS.py create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_decode_times.py create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_1.py create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_2.py create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_json.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_run_script.py create mode 100644 e3sm_diags/plot/annual_cycle_zonal_mean_plot.py delete mode 100644 e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean.cfg b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean.cfg new file mode 100644 index 000000000..0f585297c --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean.cfg @@ -0,0 +1,57 @@ +[#] +sets = ["annual_cycle_zonal_mean"] +case_id = "AOD_550" +variables = ["AODVIS"] +ref_name = "AOD_550" +reference_name = "AERONET-composite AOD" +test_colormap = "Oranges" +reference_colormap = "Oranges" +diff_colormap = "BrBG_r" +contour_levels = [0., 0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2] +diff_levels = [-0.5, -0.4, -0.3, -0.2, -0.1, -0.05, -0.02, 0.02, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5] + +# [#] +# sets = ["annual_cycle_zonal_mean"] +# case_id = "OMI-MLS" +# variables = ["SCO"] +# ref_name = "OMI-MLS" +# reference_name = "OMI-MLS" +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "diverging_bwr.rgb" +# contour_levels = [180,200,220,240,260,280,300,320,340,360,380] +# diff_levels = [ -40, -30, -20, -15, -10, -5,-2,2, 5, 10, 15, 20, 30,40] + +# [#] +# sets = ["annual_cycle_zonal_mean"] +# case_id = "OMI-MLS" +# variables = ["TCO"] +# ref_name = "OMI-MLS" +# reference_name = "OMI-MLS" +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "diverging_bwr.rgb" +# contour_levels = [12,16,20,24,28,32,36,40,44] +# diff_levels = [-20,-15,-10,-5,-2,2,5,10,15,20] + +# [#] +# sets = ["annual_cycle_zonal_mean"] +# case_id = "SST_CL_HadISST" +# variables = ["SST"] +# ref_name = "HadISST_CL" +# reference_name = "HadISST (Climatology)" +# contour_levels = [-1, 0, 1, 3, 6, 9, 12, 15, 18, 20, 22, 24, 26, 28, 29] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] + + +# [#] +# sets = ["annual_cycle_zonal_mean"] +# case_id = "GPCP_v3.2" +# variables = ["PRECT"] +# ref_name = "GPCP_v3.2" +# reference_name = "GPCP_v3.2" +# test_colormap = "WhiteBlueGreenYellowRed.rgb" +# reference_colormap = "WhiteBlueGreenYellowRed.rgb" +# diff_colormap = "BrBG" +# contour_levels = [0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16] +# diff_levels = [-5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5] diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..3c8200b54 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,253 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files do not match at DEV_PATH (144) and MAIN_PATH 129.\n" + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"annual_cycle_zonal_mean\"\n", + "SET_DIR = \"669-annual_cycle_zonal_mean\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " # raise IOError(f\"Number of files do not match at DEV_PATH ({len(DEV_GLOB)}) and MAIN_PATH {len(MAIN_GLOB)}.\")\n", + " print(\n", + " f\"Number of files do not match at DEV_PATH ({len(DEV_GLOB)}) and MAIN_PATH {len(MAIN_GLOB)}.\"\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "missing_count = 0\n", + "for filepath_main in MAIN_GLOB:\n", + " filepath_dev = filepath_main.replace(\"main\", SET_DIR)\n", + " filepath_dev = filepath_dev.replace(\"Annual-Cycle\", \"ANNUALCYCLE-global\")\n", + "\n", + " try:\n", + " ds = xr.open_dataset(filepath_dev, decode_times=False)\n", + " except OSError:\n", + " print(f\"No file found to compare with {filepath_main}!\")\n", + " missing_count += 1\n", + "print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-Annual-Cycle_test.nc\n", + "AODVIS\n", + "var_key AODVIS\n", + "\n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 1808 / 2160 (83.7%)\n", + "Max absolute difference: 0.12250582\n", + "Max relative difference: 91.14554689\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-Annual-Cycle_ref.nc\n", + "AODVIS\n", + "var_key AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean/annual_cycle_zonal_mean/AOD_550/MACv2-AODVIS-ANNUALCYCLE-global_ref.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/MACv2-AODVIS-Annual-Cycle_test.nc\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/MACv2-AODVIS-Annual-Cycle_test.nc'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/file_manager.py:211\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 211\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_key\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 212\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m:\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/lru_cache.py:56\u001b[0m, in \u001b[0;36mLRUCache.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 55\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_lock:\n\u001b[0;32m---> 56\u001b[0m value \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_cache\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey\u001b[49m\u001b[43m]\u001b[49m\n\u001b[1;32m 57\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_cache\u001b[38;5;241m.\u001b[39mmove_to_end(key)\n", + "\u001b[0;31mKeyError\u001b[0m: [, ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/MACv2-AODVIS-Annual-Cycle_test.nc',), 'r', (('clobber', True), ('diskless', False), ('format', 'NETCDF4'), ('persist', False)), '9d73284d-f657-4241-91ea-76ed0061655a']", + "\nDuring handling of the above exception, another exception occurred:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[3], line 16\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[38;5;28mprint\u001b[39m(filepath_dev, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m, filepath_main)\n\u001b[1;32m 15\u001b[0m ds1 \u001b[38;5;241m=\u001b[39m xr\u001b[38;5;241m.\u001b[39mopen_dataset(filepath_dev, decode_times\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[0;32m---> 16\u001b[0m ds2 \u001b[38;5;241m=\u001b[39m \u001b[43mxr\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilepath_main\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecode_times\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mFalse\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[1;32m 18\u001b[0m var_key \u001b[38;5;241m=\u001b[39m filepath_dev\u001b[38;5;241m.\u001b[39msplit(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m-\u001b[39m\u001b[38;5;124m\"\u001b[39m)[\u001b[38;5;241m-\u001b[39m\u001b[38;5;241m3\u001b[39m]\n\u001b[1;32m 19\u001b[0m \u001b[38;5;28mprint\u001b[39m(var_key)\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/api.py:572\u001b[0m, in \u001b[0;36mopen_dataset\u001b[0;34m(filename_or_obj, engine, chunks, cache, decode_cf, mask_and_scale, decode_times, decode_timedelta, use_cftime, concat_characters, decode_coords, drop_variables, inline_array, chunked_array_type, from_array_kwargs, backend_kwargs, **kwargs)\u001b[0m\n\u001b[1;32m 560\u001b[0m decoders \u001b[38;5;241m=\u001b[39m _resolve_decoders_kwargs(\n\u001b[1;32m 561\u001b[0m decode_cf,\n\u001b[1;32m 562\u001b[0m open_backend_dataset_parameters\u001b[38;5;241m=\u001b[39mbackend\u001b[38;5;241m.\u001b[39mopen_dataset_parameters,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 568\u001b[0m decode_coords\u001b[38;5;241m=\u001b[39mdecode_coords,\n\u001b[1;32m 569\u001b[0m )\n\u001b[1;32m 571\u001b[0m overwrite_encoded_chunks \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mpop(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124moverwrite_encoded_chunks\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mNone\u001b[39;00m)\n\u001b[0;32m--> 572\u001b[0m backend_ds \u001b[38;5;241m=\u001b[39m \u001b[43mbackend\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen_dataset\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 573\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 574\u001b[0m \u001b[43m \u001b[49m\u001b[43mdrop_variables\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdrop_variables\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 575\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdecoders\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 576\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 577\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 578\u001b[0m ds \u001b[38;5;241m=\u001b[39m _dataset_from_backend_dataset(\n\u001b[1;32m 579\u001b[0m backend_ds,\n\u001b[1;32m 580\u001b[0m filename_or_obj,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 590\u001b[0m \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs,\n\u001b[1;32m 591\u001b[0m )\n\u001b[1;32m 592\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m ds\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/netCDF4_.py:644\u001b[0m, in \u001b[0;36mNetCDF4BackendEntrypoint.open_dataset\u001b[0;34m(self, filename_or_obj, mask_and_scale, decode_times, concat_characters, decode_coords, drop_variables, use_cftime, decode_timedelta, group, mode, format, clobber, diskless, persist, lock, autoclose)\u001b[0m\n\u001b[1;32m 623\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mopen_dataset\u001b[39m( \u001b[38;5;66;03m# type: ignore[override] # allow LSP violation, not supporting **kwargs\u001b[39;00m\n\u001b[1;32m 624\u001b[0m \u001b[38;5;28mself\u001b[39m,\n\u001b[1;32m 625\u001b[0m filename_or_obj: \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m|\u001b[39m os\u001b[38;5;241m.\u001b[39mPathLike[Any] \u001b[38;5;241m|\u001b[39m BufferedIOBase \u001b[38;5;241m|\u001b[39m AbstractDataStore,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 641\u001b[0m autoclose\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m 642\u001b[0m ) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m Dataset:\n\u001b[1;32m 643\u001b[0m filename_or_obj \u001b[38;5;241m=\u001b[39m _normalize_path(filename_or_obj)\n\u001b[0;32m--> 644\u001b[0m store \u001b[38;5;241m=\u001b[39m \u001b[43mNetCDF4DataStore\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 645\u001b[0m \u001b[43m \u001b[49m\u001b[43mfilename_or_obj\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 646\u001b[0m \u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 647\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mformat\u001b[39;49m\u001b[43m,\u001b[49m\n\u001b[1;32m 648\u001b[0m \u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 649\u001b[0m \u001b[43m \u001b[49m\u001b[43mclobber\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mclobber\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 650\u001b[0m \u001b[43m \u001b[49m\u001b[43mdiskless\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdiskless\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 651\u001b[0m \u001b[43m \u001b[49m\u001b[43mpersist\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mpersist\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 652\u001b[0m \u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 653\u001b[0m \u001b[43m \u001b[49m\u001b[43mautoclose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautoclose\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m 654\u001b[0m \u001b[43m \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 656\u001b[0m store_entrypoint \u001b[38;5;241m=\u001b[39m StoreBackendEntrypoint()\n\u001b[1;32m 657\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m close_on_error(store):\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/netCDF4_.py:407\u001b[0m, in \u001b[0;36mNetCDF4DataStore.open\u001b[0;34m(cls, filename, mode, format, group, clobber, diskless, persist, lock, lock_maker, autoclose)\u001b[0m\n\u001b[1;32m 401\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mdict\u001b[39m(\n\u001b[1;32m 402\u001b[0m clobber\u001b[38;5;241m=\u001b[39mclobber, diskless\u001b[38;5;241m=\u001b[39mdiskless, persist\u001b[38;5;241m=\u001b[39mpersist, \u001b[38;5;28mformat\u001b[39m\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mformat\u001b[39m\n\u001b[1;32m 403\u001b[0m )\n\u001b[1;32m 404\u001b[0m manager \u001b[38;5;241m=\u001b[39m CachingFileManager(\n\u001b[1;32m 405\u001b[0m netCDF4\u001b[38;5;241m.\u001b[39mDataset, filename, mode\u001b[38;5;241m=\u001b[39mmode, kwargs\u001b[38;5;241m=\u001b[39mkwargs\n\u001b[1;32m 406\u001b[0m )\n\u001b[0;32m--> 407\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mcls\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mmanager\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mgroup\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mgroup\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmode\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mmode\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlock\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mlock\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mautoclose\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mautoclose\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/netCDF4_.py:354\u001b[0m, in \u001b[0;36mNetCDF4DataStore.__init__\u001b[0;34m(self, manager, group, mode, lock, autoclose)\u001b[0m\n\u001b[1;32m 352\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_group \u001b[38;5;241m=\u001b[39m group\n\u001b[1;32m 353\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m mode\n\u001b[0;32m--> 354\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mformat \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mds\u001b[49m\u001b[38;5;241m.\u001b[39mdata_model\n\u001b[1;32m 355\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mds\u001b[38;5;241m.\u001b[39mfilepath()\n\u001b[1;32m 356\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mis_remote \u001b[38;5;241m=\u001b[39m is_remote_uri(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_filename)\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/netCDF4_.py:416\u001b[0m, in \u001b[0;36mNetCDF4DataStore.ds\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 414\u001b[0m \u001b[38;5;129m@property\u001b[39m\n\u001b[1;32m 415\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mds\u001b[39m(\u001b[38;5;28mself\u001b[39m):\n\u001b[0;32m--> 416\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/netCDF4_.py:410\u001b[0m, in \u001b[0;36mNetCDF4DataStore._acquire\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 409\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_acquire\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[0;32m--> 410\u001b[0m \u001b[43m \u001b[49m\u001b[38;5;28;43;01mwith\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_manager\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43macquire_context\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mas\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43mroot\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m 411\u001b[0m \u001b[43m \u001b[49m\u001b[43mds\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m_nc4_require_group\u001b[49m\u001b[43m(\u001b[49m\u001b[43mroot\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_group\u001b[49m\u001b[43m,\u001b[49m\u001b[43m 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139\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mRuntimeError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgenerator didn\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt yield\u001b[39m\u001b[38;5;124m\"\u001b[39m) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/file_manager.py:199\u001b[0m, in \u001b[0;36mCachingFileManager.acquire_context\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 196\u001b[0m \u001b[38;5;129m@contextlib\u001b[39m\u001b[38;5;241m.\u001b[39mcontextmanager\n\u001b[1;32m 197\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21macquire_context\u001b[39m(\u001b[38;5;28mself\u001b[39m, needs_lock\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m):\n\u001b[1;32m 198\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Context manager for acquiring a file.\"\"\"\u001b[39;00m\n\u001b[0;32m--> 199\u001b[0m file, cached \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_acquire_with_cache_info\u001b[49m\u001b[43m(\u001b[49m\u001b[43mneeds_lock\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 200\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 201\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m file\n", + "File \u001b[0;32m/global/cfs/cdirs/e3sm/zhang40/conda_envs/cdat_regression_test/lib/python3.11/site-packages/xarray/backends/file_manager.py:217\u001b[0m, in \u001b[0;36mCachingFileManager._acquire_with_cache_info\u001b[0;34m(self, needs_lock)\u001b[0m\n\u001b[1;32m 215\u001b[0m kwargs \u001b[38;5;241m=\u001b[39m kwargs\u001b[38;5;241m.\u001b[39mcopy()\n\u001b[1;32m 216\u001b[0m kwargs[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmode\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode\n\u001b[0;32m--> 217\u001b[0m file \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_opener\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_args\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 218\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m 219\u001b[0m \u001b[38;5;66;03m# ensure file doesn't get overridden when opened again\u001b[39;00m\n\u001b[1;32m 220\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_mode \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ma\u001b[39m\u001b[38;5;124m\"\u001b[39m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2469\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4.Dataset.__init__\u001b[0;34m()\u001b[0m\n", + "File \u001b[0;32msrc/netCDF4/_netCDF4.pyx:2028\u001b[0m, in \u001b[0;36mnetCDF4._netCDF4._ensure_nc_success\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/MACv2-AODVIS-Annual-Cycle_test.nc'" + ] + } + ], + "source": [ + "# We are mainly focusing on relative tolerance here (in percentage terms).\n", + "atol = 0\n", + "rtol = 1e-5\n", + "\n", + "for filepath_dev in DEV_GLOB:\n", + " if \"test.nc\" in filepath_dev or \"ref.nc\" in filepath_dev:\n", + " filepath_main = filepath_dev.replace(SET_DIR, \"main\")\n", + " filepath_main = filepath_main.replace(\"ANNUALCYCLE-global\", \"Annual-Cycle\")\n", + " if 'test.nc' in filepath_main: \n", + " filepath_main = filepath_main.replace(\"test.nc\", \"ref.nc\")\n", + " elif 'ref.nc' in filepath_main: \n", + " filepath_main = filepath_main.replace(\"ref.nc\", \"test.nc\")\n", + " print(\"Comparing:\")\n", + " print(filepath_dev, \"\\n\", filepath_main)\n", + " ds1 = xr.open_dataset(filepath_dev, decode_times=False)\n", + " ds2 = xr.open_dataset(filepath_main, decode_times=False)\n", + "\n", + " var_key = filepath_dev.split(\"-\")[-3]\n", + " print(var_key)\n", + "\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = filepath_dev.split(\"-\")[-4]\n", + "\n", + " print(\"var_key\", var_key)\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- AODVIS in dev branch plotted and saved test data as test.nc and ref.nc\n", + "- Code on main branch has test and ref data saved in opposite order\n", + "- Retire AODVIS from MACv1, and replace with MACv2 and MERRY2 Aerosols\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_run_script.py b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_run_script.py new file mode 100644 index 000000000..0892465fd --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean_run_script.py @@ -0,0 +1,14 @@ +# %% +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "annual_cycle_zonal_mean" +SET_DIR = ( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean" +) +# CFG_PATH = "auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/669-annual_cycle_zonal_mean.cfg" +CFG_PATH = "e3sm_diags/driver/default_diags/annual_cycle_zonal_mean_model_vs_obs.cfg" +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_AODVIS.py b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_AODVIS.py new file mode 100644 index 000000000..2217471fb --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_AODVIS.py @@ -0,0 +1,62 @@ +import numpy as np +import xcdat as xc + +dev_path = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean-debug/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc" +main_path = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-Annual-Cycle_test.nc" + + +var_a = xc.open_dataset(dev_path)["AODVIS"] +var_b = xc.open_dataset(main_path)["AODVIS"] + +""" +Floating point comparison + +AssertionError: +Not equal to tolerance rtol=1e-07, atol=0 + +Mismatched elements: 1808 / 2160 (83.7%) +Max absolute difference: 0.12250582 +Max relative difference: 91.14554689 + x: array([[0., 0., 0., ..., 0., 0., 0.], + [0., 0., 0., ..., 0., 0., 0.], + [0., 0., 0., ..., 0., 0., 0.],... + y: array([[0., 0., 0., ..., 0., 0., 0.], + [0., 0., 0., ..., 0., 0., 0.], + [0., 0., 0., ..., 0., 0., 0.],... +""" +np.testing.assert_allclose(var_a, var_b) + +# Get the max of all values +# ------------------------- +# 0.28664299845695496 +print(var_a.max().item()) +# 0.2866430557436412 +print(var_b.max().item()) + +# Get the min of all values +# ------------------------- +# 0.0 +print(var_a.min().item()) +# 0.0 +print(var_b.min().item()) + +# Get the sum of all values +# ------------------------- +# 224.2569122314453 +print(var_a.sum().item()) +# 224.25691348856003 +print(var_b.sum().item()) + +# Get the mean of all values +# ------------------------- +# 0.10382264107465744 +print(var_a.mean().item()) +# 0.1038226451335926 +print(var_b.mean().item()) + + +# %% +# Get the max absolute diff +# ------------------------- +# 0.12250582128763199 +print((var_a - var_b).max().item()) diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_decode_times.py b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_decode_times.py new file mode 100644 index 000000000..f92f20f2b --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_decode_times.py @@ -0,0 +1,43 @@ +# %% +from glob import glob + +import cftime +import xcdat as xc + +args = { + "add_bounds": ["X", "Y"], + "coords": "minimal", + "compat": "override", + "chunks": "auto", +} + +filepath = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/MERRA2_Aerosols/MERRA2_Aerosols_[0-1][0-9]_*climo.nc" +paths = sorted(glob(filepath)) + +# Check time coordinates are in ascending order with wildcard and sorted glob +ds_mf = xc.open_mfdataset(filepath, decode_times=True, **args) +ds_mf_raw = xc.open_mfdataset(paths, **args, decode_times=True) + +# %% + +# filepath 1: '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/MERRA2_Aerosols/MERRA2_Aerosols_01_198001_202101_climo.nc' +ds_raw_time = xc.open_mfdataset(paths[0], **args, decode_times=False) + +# 10782720 +time_int = ds_raw_time.time.values.item() +# 'minutes since 1980-01-01 00:30:00' +units = ds_raw_time.time.units +# None, so "standard" +calendar = ds_raw_time.time.attrs.get("calendar", "standard") + +# cftime.DatetimeGregorian(2000, 7, 2, 0, 30, 0, 0, has_year_zero=False) +cftime.num2date(time_int, units, calendar=calendar) + +# %% +import datetime + +first_step = datetime.datetime(1980, 1, 1, hour=0, minute=30) +time_delta = datetime.timedelta(minutes=10782720) + +# datetime.datetime(2000, 7, 2, 0, 30) +print(first_step + time_delta) diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_1.py b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_1.py new file mode 100644 index 000000000..8160d8049 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_1.py @@ -0,0 +1,76 @@ +# %% +from glob import glob + +import xarray as xr +import xcdat as xc + +args = { + "decode_times": True, + "add_bounds": ["X", "Y"], + "coords": "minimal", + "compat": "override", + "chunks": "auto", +} + +filepath = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/MERRA2_Aerosols/MERRA2_Aerosols_[0-1][0-9]_*climo.nc" +paths = sorted(glob(filepath)) + +# filepath 1: '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/MERRA2_Aerosols/MERRA2_Aerosols_01_198001_202101_climo.nc' +ds_fp1 = xc.open_mfdataset(paths[0], **args) +# filepath 2: '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/MERRA2_Aerosols/MERRA2_Aerosols_02_198002_202102_climo.nc' +ds_fp2 = xc.open_mfdataset(paths[1], **args) + +# Check the units -- different +# ---------------------------- +# 'minutes since 1980-01-01 00:30:00' +ds_fp1.time.attrs["units"] +# 'minutes since 1980-02-01 00:30:00' +ds_fp2.time.attrs["units"] + +# Check the time values -- same +# ---------------------------- +# 10782720 +ds_fp1.time.values[0] +# 10782720 +ds_fp2.time.values[0] + + +# %% +import cftime + + +def _get_encoded_time(var: xr.DataArray) -> xr.DataArray: + """Convert `cftime` datetime objects to encoded float objects. + + This function is useful for plotters that plot the time axis, which + requires time coordinates to be encoded as floats if arithmetic is + performed. + + Parameters + ---------- + var : xr.DataArray + The variable. + + Returns + ------- + xr.DataArray + The encoded time coordinates. + """ + time_coords = xc.get_dim_coords(var, axis="T") + + for index, time_val in enumerate(time_coords): + new_time_val = cftime.date2num( + time_val.item(), + time_val.encoding["units"], + calendar=time_val.encoding["calendar"], + ) + time_coords.values[index] = new_time_val + time_coords[time_coords.name].values[index] = new_time_val + + return time_coords + + +# %% +new_time = _get_encoded_time(ds_fp1) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_2.py b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_2.py new file mode 100644 index 000000000..8f062c275 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/debug/debug_nco_open_mf_dataset_issue_2.py @@ -0,0 +1,31 @@ +# %% +from glob import glob + +import xarray as xr +import xcdat as xc + +args = { + "decode_times": False, + "add_bounds": ["X", "Y"], + "coords": "minimal", + "compat": "override", + "chunks": "auto", +} + +# %% +filepath = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/AOD_550/AOD_550_[0-1][0-9]_*climo.nc" +filepaths = glob(filepath) +ds = xc.open_mfdataset(filepaths, **args) + +# array([ 15.5101, 46.03 , 76.5498, 107.57 , 137.5895, 168.6097, +# 198.6292, 229.6494, 259.6689, 290.6891, 321.7142, 351.2334]) +ds.time.values + +# %% +ds1 = xc.open_mfdataset(filepaths[0], **args) +ds2 = xc.open_mfdataset(filepaths[1], **args) + +# 'days since 2000-03-01' +ds1.time.units +# 'days since 2000-03-01' +ds2.time.units diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon.cfg b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon.cfg new file mode 100644 index 000000000..b99632358 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon.cfg @@ -0,0 +1,1732 @@ +[#] +sets = ["lat_lon"] +case_id = "GPCP_v3.2" +variables = ["PRECT"] +ref_name = "GPCP_v3.2" +reference_name = "GPCP_v3.2" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +regions = ["global"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "BrBG" +contour_levels = [0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16] +diff_levels = [-5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5] + + +[#] +sets = ["lat_lon"] +case_id = "GPCP_v2.3" +variables = ["PRECT"] +ref_name = "GPCP_v2.3" +reference_name = "GPCP_v2.3" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +regions = ["global"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "BrBG" +contour_levels = [0.5, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16] +diff_levels = [-5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5] + + +[#] +sets = ["lat_lon"] +case_id = "CRU_IPCC" +variables = ["TREFHT"] +regions = ["land_60S90N"] +ref_name = "CRU" +reference_name = "CRU Global Monthly Mean T Land" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-15, -10, -5, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 5, 10, 15] +regrid_method = "bilinear" + + + +[#] +sets = ["lat_lon"] +case_id = "SST_HadISST" +variables = ["SST"] +ref_name = "HadISST" +reference_name = "HadISST" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-1, 0, 1, 3, 6, 9, 12, 15, 18, 20, 22, 24, 26, 28, 29] +diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "SST_CL_HadISST" +variables = ["SST"] +ref_name = "HadISST_CL" +reference_name = "HadISST (Climatology)" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-1, 0, 1, 3, 6, 9, 12, 15, 18, 20, 22, 24, 26, 28, 29] +diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "SST_PI_HadISST" +variables = ["SST"] +ref_name = "HadISST_PI" +reference_name = "HadISST (Pre-Indust)" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-1, 0, 1, 3, 6, 9, 12, 15, 18, 20, 22, 24, 26, 28, 29] +diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "SST_PD_HadISST" +variables = ["SST"] +ref_name = "HadISST_PD" +reference_name = "HadISST (Present Day)" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-1, 0, 1, 3, 6, 9, 12, 15, 18, 20, 22, 24, 26, 28, 29] +diff_levels = [-5, -4, -3, -2, -1, -0.5, -0.2, 0.2, 0.5, 1, 2, 3, 4, 5] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "CERES-EBAF-TOA-v4.1" +variables = ["SOLIN"] 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["lat_lon"] +case_id = "MERRA2" +variables = ["T"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["DJF", "MAM", "JJA", "SON"] +plevs = [850.0] +contour_levels = [230, 240, 250, 260, 270, 280, 290, 300] +diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["T"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"] +plevs = [200.0] +contour_levels = [210, 212, 214, 216, 218, 220, 222, 224, 226] +diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["T"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["DJF", "MAM", "JJA", "SON"] +plevs = [200.0] +contour_levels = [200, 205, 210, 215, 220, 225, 230, 235, 240] +diff_levels = [-10, -7.5, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 7.5, 10] + + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TAUXY"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["ocean"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Purples" +reference_colormap = "Purples" +diff_colormap = "RdBu" +contour_levels = [0., 0.025, 0.05, 0.1, 0.15, 0.2, 0.25, 0.3, 0.35, 0.4, 0.45, 0.5] +diff_levels = [-0.13, -0.11, -0.09, -0.07, -0.05, -0.03, -0.01, 0.01, 0.03, 0.05, 0.07, 0.09, 0.11, 0.13] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MISR" +variables = ["CLDTOT_TAU1.3_MISR"] +ref_name = "MISRCOSP" +reference_name = "MISR Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MISR" +variables = ["CLDTOT_TAU1.3_9.4_MISR"] +ref_name = "MISRCOSP" +reference_name = "MISR Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] 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["CLDLOW_TAU1.3_9.4_MISR"] +ref_name = "MISRCOSP" +reference_name = "MISR Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MISR" +variables = ["CLDLOW_TAU9.4_MISR"] +ref_name = "MISRCOSP" +reference_name = "MISR Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MODIS" +variables = ["CLDTOT_TAU1.3_MODIS"] +ref_name = "MODISCOSP" 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["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MODIS" +variables = ["CLDHGH_TAU1.3_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MODIS" +variables = ["CLDHGH_TAU1.3_9.4_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud MODIS" +variables = ["CLDHGH_TAU9.4_MODIS"] +ref_name = "MODISCOSP" +reference_name = "MODIS Simulator" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud Calipso" +variables = ["CLDTOT_CAL"] +ref_name = "CALIPSOCOSP" +reference_name = "CALIPSO-GOCCP" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", 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+regions = ["land"] +ref_name = "ERA5" +reference_name = "ERA5 Reanalysis" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] +regrid_method = "bilinear" + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREFHT"] +regions = ["global"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] + + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREFHT"] +regions = ["land"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] +regrid_method = "bilinear" + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREFMNAV"] +regions = ["land"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["global"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] +regrid_method = "bilinear" + + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREFMXAV"] +regions = ["land"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["global"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] +regrid_method = "bilinear" + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREF_range"] +regions = ["land"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["global"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [2, 4, 6, 8, 10, 12, 14, 16,18] +diff_levels = [ -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8] +regrid_method = "bilinear" + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREFMNAV"] +regions = ["global"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["global"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] + + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREFMXAV"] +regions = ["global"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["global"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [-35, -30, -25, -20, -15, -10, -5, 0, 5, 10, 15, 20, 25, 30, 35, 40] +diff_levels = [-12, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 12] + +[#] +sets = ["lat_lon"] +case_id = "MERRA2" +variables = ["TREF_range"] +regions = ["global"] +ref_name = "MERRA2" +reference_name = "MERRA2 Reanalysis" +regions = ["global"] +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +contour_levels = [2, 4, 6, 8, 10, 12, 14, 16,18] +diff_levels = [ -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8] + + +[#] +sets = ["lat_lon"] +case_id = "GPCP_OAFLux" +variables = ["PminusE"] +ref_name = "GPCP_OAFLux" +reference_name = "PRECT(GPCP) minus QFLX(OAFLux)" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +regions = ["global"] +test_colormap = "RdBu" +reference_colormap = "RdBu" +diff_colormap = "RdBu" +contour_levels = [-16, -11, -7, -4,-2,-1,1,2,4,7,11,16] +diff_levels = [-10, -7, -4, -2, -1,-0.5,0.5, 1, 2, 4, 7, 10] + +[#] +sets = ["lat_lon"] +case_id = "COREv2_Flux" +variables = ["PminusE"] +ref_name = "COREv2_Flux" +reference_name = "COREv2_Flux" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +regions = ["global"] +test_colormap = "RdBu" +reference_colormap = "RdBu" +diff_colormap = "RdBu" +contour_levels = [-16, -11, -7, -4,-2,-1,1,2,4,7,11,16] +diff_levels = [-10, -7, -4, -2, -1,-0.5,0.5, 1, 2, 4, 7, 10] + +[#] +sets = ["lat_lon"] +case_id = "OMI-MLS" +variables = ["TCO"] +ref_name = "OMI-MLS" +reference_name = "OMI-MLS" +seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "diverging_bwr.rgb" +contour_levels = [12,16,20,24,28,32,36,40,44] +diff_levels = [-20,-15,-10,-5,-2,2,5,10,15,20] + +[#] +sets = ["lat_lon"] +case_id = "aero-no-ref-data" +variables = ['_ABURDENDUST'] +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "diverging_bwr.rgb" +contour_levels = [0, 10, 50, 100, 200, 500, 1000] +diff_levels = [-1000, -500, -200, -100, -50, -10, 10, 50, 100, 200, 500, 1000] + +[#] +sets = ["lat_lon"] +case_id = "aero-no-ref-data" +variables = ['_ABURDENBC', '_ABURDENSOA'] +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "diverging_bwr.rgb" +contour_levels = [0, 1, 2, 4, 8] +diff_levels = [-8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8] + +[#] +sets = ["lat_lon"] +case_id = "aero-no-ref-data" +variables = ['_ABURDENPOM', '_ABURDENSEASALT'] +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "diverging_bwr.rgb" +contour_levels = [0, 1, 2, 4, 8, 16, 32] +diff_levels = [-8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8] + +[#] +sets = ["lat_lon"] +case_id = "aero-no-ref-data" +variables = ['_ABURDENSO4', '_ABURDENSO4_STR', '_ABURDENSO4_TRO'] +seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] +test_colormap = "WhiteBlueGreenYellowRed.rgb" +reference_colormap = "WhiteBlueGreenYellowRed.rgb" +diff_colormap = "diverging_bwr.rgb" +contour_levels = [0, 1, 2, 4, 8, 16, 32] +diff_levels = [-32, -16, -8, -4, -2, -1, -0.5, 0.5, 1, 2, 4, 8, 16, 32] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_bc_srf"] +contour_levels = [0, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000] +diff_levels = [-5000, -4000, -3000, -2000, -1000, -500, -100, -50, -25, -10, 10, 25, 50, 100, 500, 1000, 2000, 3000, 4000, 5000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_ncl_srf"] +contour_levels = [0, 1000, 2000, 5000, 10000, 15000, 20000, 25000] +diff_levels = [-1200, -1000, -500, -250, -100, -50, -25, -10, 10, 25, 50, 100, 250, 500, 1000, 1200] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_so4_srf"] +contour_levels = [0, 100, 200, 500, 1000, 2000, 3000, 4000, 5000, 7000] +diff_levels = [-7000, -5000, -4000, -2000, -1000, -500, -100, -50, 50, 100, 500, 1000, 2000, 4000, 5000, 7000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_dst_srf"] +contour_levels = [0, 1000, 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000] +diff_levels = [-40000, -20000, -10000, -5000, -1000, -500, -100, -50, -25, -10, 10, 25, 50, 100, 500, 1000, 5000, 10000, 20000, 40000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_pom_srf"] +contour_levels = [0, 1000, 2000, 5000, 10000, 15000, 20000, 25000] +diff_levels = [-15000, -10000, -5000, -1000, -500, -100, -50, -25, -10, 10, 25, 50, 100, 500, 1000, 5000, 10000, 15000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_soa_srf"] +contour_levels = [0, 1000, 2000, 5000, 10000, 15000, 20000, 25000, 30000] +diff_levels = [-30000, -25000, -20000, -15000, -10000, -5000, -1000, -500, -100, -50, -25, -10, 10, 25, 50, 100, 500, 1000, 5000, 10000, 15000, 20000, 25000, 30000] + +[srfmom_mass_diags_lat_lon] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_mom_srf"] +contour_levels = [0, 100, 200, 300, 400, 500, 600, 700, 800] +diff_levels = [-50, -25, -10, -5, -2, -1, 1, 2, 5, 10, 25, 50] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_bc_850"] +contour_levels = [0, 500, 1000, 2000, 4000, 6000, 8000, 10000, 12000, 14000] +diff_levels = [-1200, -1000, -800, -600, -400, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 400, 600, 800, 1000, 1200] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_ncl_850"] +contour_levels = [0, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000, 7000, 8000, 9000] +diff_levels = [-600, -500, -400, -300, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 300, 400, 500, 600] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_so4_850"] +contour_levels = [0, 100, 200, 500, 1000, 2000, 3000, 5000] +diff_levels = [-5000, -3000, -1000, -500, -300, -100, -50, 50, 100, 300, 500, 1000, 3000, 5000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_dst_850"] +contour_levels = [0, 10000, 50000, 100000, 200000, 300000, 400000, 500000] +diff_levels = [-23000, -20000, -15000, -10000, -5000, -4000, -3000, -2000, -1000, -500, -400, -300, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 300, 400, 500, 1000, 2000, 3000, 4000, 5000, 10000, 20000, 23000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_pom_850"] +contour_levels = [0, 100, 500, 1000, 2000, 3000, 4000, 5000, 6000, 7000] +diff_levels = [-3500, -3000, -2500, -2000, -1500, -1000, -500, -400, -300, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 300, 400, 500, 1000, 1500, 2000, 2500, 3000, 3500] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_soa_850"] +contour_levels = [0, 1000, 5000, 10000, 15000, 20000, 25000, 30000] +diff_levels = [-15000, -10000, -5000, -4000, -3000, -2000, -1000, -500, -400, -300, -200, -100, -50, -25, -10, 10, 25, 50, 100, 200, 300, 400, 500, 1000, 4000, 5000, 10000, 15000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_mom_850"] +contour_levels = [0, 5, 10, 20, 50, 100, 150, 200] +diff_levels = [-15, -10, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 10, 15] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_bc_330"] +contour_levels = [0, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100] +diff_levels = [-100, -50, -40, -30, -20, -10, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 10, 20, 30, 40, 50, 100] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_ncl_330"] +contour_levels = [0, 5, 10, 20, 30, 40, 50, 60, 70, 80, 90, 350] +diff_levels = [-30, -20, -10, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 10, 20, 30] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_so4_330"] +contour_levels = [0, 10, 50, 100, 200, 300, 400, 500, 600, 700] +diff_levels = [-600, -500, -400, -300, -200, -100, -50, -40, -30, -20, -10, -5, 5, 10, 20, 30, 40, 50, 100, 200, 300, 400, 500, 600] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_dst_330"] +contour_levels = [0, 500, 1000, 2000, 5000, 10000, 15000] +diff_levels = [-2000, -1000, -500, -400, -300, -200, -100, -50, -40, -30, -20, -10, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 10, 20, 30, 40, 50, 100, 500, 1000, 2000] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_pom_330"] +contour_levels = [0, 5, 10, 20, 30, 40, 50, 60, 70, 300] +diff_levels = [-250, -200, -150, -100, -50, -40, -30, -20, -10, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 10, 20, 30, 40, 50] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_soa_330"] +contour_levels = [0, 5, 10, 20, 30, 40, 50, 60, 70, 2500] +diff_levels = [-1500, -1000, -500, -400, -300, -200, -100, -50, -40, -30, -20, -10, -5, -4, -3, -2, -1, -0.5, 0.5, 1, 2, 3, 4, 5, 10, 20, 30, 40, 50, 100, 500, 1000, 1500] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +variables = ["_Mass_mom_330"] +contour_levels = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 10] +diff_levels = [-0.5, -0.4, -0.3, -0.2, -0.1, -0.05, -0.04, -0.03, -0.02, -0.01, -0.005, 0.005, 0.01, 0.02, 0.03, 0.04, 0.05, 0.1, 0.2, 0.3, 0.4, 0.5] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["AODBC"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09] +diff_levels = [-0.08, -0.06, -0.04, -0.02, -0.01, -0.005, 0.005, 0.01, 0.02, 0.04, 0.06, 0.08] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["AODSS"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.10, 0.11] +diff_levels = [-0.01, -0.008, -0.006, -0.004, -0.002, -0.001, 0.001, 0.002, 0.004, 0.006, 0.008, 0.01] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["AODSOA"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35, 0.40, 0.45, 0.50, 0.55] +diff_levels = [-0.45, -0.35, -0.25, -0.15, -0.05, -0.025, 0.025, 0.05, 0.15, 0.25, 0.35, 0.45] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["AODSO4", "AODSO4_STR", "AODSO4_TRO"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 0.02, 0.04, 0.06, 0.08, 0.10, 0.12, 0.14, 0.16] +diff_levels = [-0.15, -0.12, -0.09, -0.06, -0.03, -0.015, -0.005, 0.005, 0.015, 0.03, 0.06, 0.09, 0.12, 0.15] + + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["AODPOM"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09] +diff_levels = [-0.06, -0.04, -0.02, -0.01, -0.005, -0.0025, 0.0025, 0.005, 0.01, 0.02, 0.04, 0.06] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["AODMOM"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09] +diff_levels = [-0.06, -0.04, -0.02, -0.01, -0.005, -0.0025, 0.0025, 0.005, 0.01, 0.02, 0.04, 0.06] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["in_cloud_cdnc", "in_cloud_lwp"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 20, 40, 60, 80, 100, 125, 150, 175, 200, 250] +diff_levels = [-50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50] + +[#] +sets = ['lat_lon'] +case_id = "aero-no-ref-data" +variables = ["in_grid_cdnc", "in_grid_lwp"] +seasons = ["ANN","DJF", "MAM", "JJA", "SON"] +contour_levels = [0, 10, 20, 30, 40, 50, 60, 70, 80, 90, 100] +diff_levels = [-50, -40, -30, -20, -10, -5, -2, 2, 5, 10, 20, 30, 40, 50] diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_json.ipynb b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_json.ipynb new file mode 100644 index 000000000..cde6823aa --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_json.ipynb @@ -0,0 +1,492 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.json` metrics)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "No files found at DEV_PATH and/or MAIN_PATH.", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 28\u001b[0m\n\u001b[1;32m 25\u001b[0m MAIN_GLOB \u001b[38;5;241m=\u001b[39m \u001b[38;5;28msorted\u001b[39m(glob\u001b[38;5;241m.\u001b[39mglob(MAIN_PATH \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m/*.json\u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m 27\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB) \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m---> 28\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNo files found at DEV_PATH and/or MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 30\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(DEV_GLOB) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;28mlen\u001b[39m(MAIN_GLOB):\n\u001b[1;32m 31\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: No files found at DEV_PATH and/or MAIN_PATH." + ] + } + ], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "\n", + "import pandas as pd\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_metrics,\n", + " get_num_metrics_above_diff_thres,\n", + " get_rel_diffs,\n", + " sort_columns,\n", + " update_diffs_to_pct,\n", + " highlight_large_diffs,\n", + ")\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"lat_lon\"\n", + "SET_DIR = \"792-lat_lon\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine all DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_main.add_suffix(\"_main\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")\n", + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = sort_columns(df_final)\n", + "df_final = update_diffs_to_pct(df_final)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Review variables and metrics above difference threshold.\n", + "\n", + "- Red cells are differences >= 2%\n", + "- `nan` cells are differences < 2% and **should be ignored**\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "* Related variables ['FSNTOA', 'LHFLX', 'LWCF', 'NET_FLUX_SRF', 'PRECT', 'PSL', 'RESTOM', 'TREFHT']\n", + "* Number of metrics above 2% max threshold: 11 / 96\n" + ] + } + ], + "source": [ + "remove_metrics = [\"min\", \"max\"]\n", + "df_metrics_sub = df_final.reset_index(names=[\"var_key\", \"metric\"])\n", + "df_metrics_sub = df_metrics_sub[~df_metrics_sub.metric.isin(remove_metrics)]\n", + "get_num_metrics_above_diff_thres(df_metrics_all, df_metrics_sub)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
     var_keymetrictest_devtest_maintest DIFF (%)ref_devref_mainref DIFF (%)test_regrid_devtest_regrid_maintest_regrid DIFF (%)ref_regrid_devref_regrid_mainref_regrid DIFF (%)misc_devmisc_mainmisc DIFF (%)
    5FSNTOAmean239.859777240.001860nan241.439641241.544384nan239.859777240.001860nan241.439641241.544384nannannannan
    8LHFLXmean88.37960988.470270nan88.96955088.976266nan88.37960988.470270nan88.96955088.976266nannannannan
    11LWCFmean24.37322424.370539nan24.40669724.391579nan24.37322424.370539nan24.40669724.391579nannannannan
    16NET_FLUX_SRFmean0.3940160.51633031.04%-0.0681860.068584200.58%0.3940160.51633031.04%-0.0681860.068584200.58%nannannan
    19PRECTmean3.0538023.056760nan3.0748853.074978nan3.0538023.056760nan3.0748853.074978nannannannan
    21PSLrmsenannannannannannannannannannannannan1.0428840.9799816.03%
    23RESTOMmean0.4815490.65656036.34%0.0180410.162984803.40%0.4815490.65656036.34%0.0180410.162984803.40%nannannan
    34TREFHTmean14.76994614.741707nan13.84201313.800258nan14.76994614.741707nan13.84201313.800258nannannannan
    35TREFHTmean9.2142249.114572nan8.0833497.957917nan9.2142249.114572nan8.0833497.957917nannannannan
    40TREFHTrmsenannannannannannannannannannannannan1.1607181.1799952.68%
    41TREFHTrmsenannannannannannannannannannannannan1.3431691.3791412.68%
    \n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_metrics_sub)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## `NET_FLUX_SRF` and `RESTOM` contain the highest differences and should be investigated further\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_netcdf.ipynb new file mode 100644 index 000000000..5e8eb5c0b --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_cdat_regression_test_netcdf.ipynb @@ -0,0 +1,2550 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"lat_lon\"\n", + "SET_DIR = \"669-annual_cycle_zonal_mean_lat_lon_test\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (600 vs. 592).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[7], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[3], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (600 vs. 592)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Why are there 8 more dev files?\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "##### Check which files were not produced by `main`\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['HadISST-SST-JJA-global_ref.nc',\n", + " 'MACv2-AODDUST-JJA-global_ref.nc',\n", + " 'MACv2-AODDUST-JJA-global_diff.nc',\n", + " 'MACv2-AODDUST-ANN-global_diff.nc',\n", + " 'HadISST-SST-JJA-global_diff.nc',\n", + " 'HadISST-SST-ANN-global_ref.nc',\n", + " 'MACv2-AODDUST-ANN-global_ref.nc',\n", + " 'HadISST-SST-ANN-global_diff.nc']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dev_files = [f.split(\"/\")[-1] for f in DEV_GLOB]\n", + "main_files = [f.split(\"/\")[-1] for f in MAIN_GLOB]\n", + "\n", + "list(set(dev_files) - set(main_files))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "**Root cause: The reason is because these runs are model-only which means test and ref are the same\n", + "variables.**\n", + "\n", + "**Conclusion: There is nothing wrong here, just different I/O behaviors when writing out\n", + "ref and diff variables. xCDAT will always write out datasets even if they are the same,\n", + "while CDAT does not.**\n", + "\n", + "1. `cdat-migration-fy24`\n", + "\n", + " - The `ref` and `diff` variables are xr.Dataset objects and written out with `_write_vars_to_netcdf()`\n", + "\n", + "2. `main`\n", + "\n", + " - The `ref` and `diff` variables are `None` when calling `save_netcdf()` are `None`.\n", + " Attempting to write out these variables results in:\n", + "\n", + " ```python\n", + " 2024-03-04 09:39:16,678 [ERROR]: core_parameter.py(_run_diag:267) >> Error in e3sm_diags.driver.lat_lon_driver\n", + " Traceback (most recent call last):\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/parameter/core_parameter.py\", line 264, in _run_diag\n", + " single_result = module.run_diag(self)\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/lat_lon_driver.py\", line 232, in run_diag\n", + " create_and_save_data_and_metrics(parameter, mv1_domain, mv2_domain)\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/lat_lon_driver.py\", line 61, in create_and_save_data_and_metrics\n", + " utils.general.save_ncfiles(\n", + " File \"/global/u2/v/vo13/E3SM-Project/e3sm_diags_main/e3sm_diags/driver/utils/general.py\", line 352, in save_ncfiles\n", + " if ref.id.startswith(\"variable_\"):\n", + " AttributeError: 'NoneType' object has no attribute 'id'\n", + " ```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39457 / 64800 (60.9%)\n", + "Max absolute difference: 22.411116\n", + "Max relative difference: 0.6832267\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.01244658\n", + " x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + " y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 34699 / 64800 (53.5%)\n", + "Max absolute difference: 45.429226\n", + "Max relative difference: 0.9708206\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39499 / 64800 (61%)\n", + "Max absolute difference: 37.673122\n", + "Max relative difference: 0.62295455\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00541773\n", + " x: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + " y: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35149 / 64800 (54.2%)\n", + "Max absolute difference: 67.89603\n", + "Max relative difference: 0.9691263\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39323 / 64800 (60.7%)\n", + "Max absolute difference: 31.085188\n", + "Max relative difference: 0.96666664\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 33486 / 64800 (51.7%)\n", + "Max absolute difference: 63.126827\n", + "Max relative difference: 1.\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00456364\n", + " x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n", + " 7.77411 ],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n", + " y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n", + " 7.774109],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 9 / 64800 (0.0139%)\n", + "Max absolute difference: 0.09701157\n", + "Max relative difference: 0.00250626\n", + " x: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843707, 7.843707,\n", + " 7.843707],\n", + " [ 4.183939, 4.1839 , 4.183824, ..., 7.598535, 7.598149,...\n", + " y: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843706, 7.843706,\n", + " 7.843706],\n", + " [ 4.183939, 4.1839 , 4.183823, ..., 7.598534, 7.598149,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355,\n", + " -53.867355],\n", + " [-53.28177 , -53.27997 , -53.27826 , ..., -53.284897, -53.28383 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + " y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + " y: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 ,\n", + " -60.34648 ],\n", + " [-59.765793, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/669-annual_cycle_zonal_mean_lat_lon_test/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All files are within rtol 1e-05 except TAUXY with nan location mismatch.\n", + "- TAUXY nan location mismatch due to a slight difference between xESMF and ESMF masking (results are still really close)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_run_script.py b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_run_script.py new file mode 100644 index 000000000..4bf98ff40 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_run_script.py @@ -0,0 +1,11 @@ +# python -m auxiliary_tools.cdat_regression_testing.669-annual_cycle_zonal_mean.re-run-lat-lon-with-var-subset.669_lat_lon_run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "lat_lon" +SET_DIR = "669-annual_cycle_zonal_mean_lat_lon_test" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "auxiliary_tools/cdat_regression_testing/669-annual_cycle_zonal_mean/re-run-lat-lon-with-var-subset/669_lat_lon_run_script.py" +MULTIPROCESSING = True + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py b/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py index 14c048fba..4dc468740 100755 --- a/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py +++ b/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py @@ -1,168 +1,209 @@ from __future__ import annotations -from typing import TYPE_CHECKING, Any, Dict, List +from typing import TYPE_CHECKING, List -import cdutil -import MV2 -from cdms2 import createAxis +import xarray as xr +import xcdat as xc -from e3sm_diags.driver.utils.dataset import Dataset -from e3sm_diags.driver.utils.general import ( - get_name_and_yrs, - regrid_to_lower_res, - save_ncfiles, - select_region_lat_lon, -) -from e3sm_diags.plot import plot +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots +from e3sm_diags.driver.utils.regrid import align_grids_to_lower_res, has_z_axis +from e3sm_diags.logger import custom_logger +from e3sm_diags.metrics.metrics import spatial_avg +from e3sm_diags.plot.annual_cycle_zonal_mean_plot import plot as plot_func + +logger = custom_logger(__name__) if TYPE_CHECKING: - from cdms2.axis import TransientAxis - from cdms2.tvariable import TransientVariable + from e3sm_diags.parameter.core_parameter import CoreParameter + - from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ( - ACzonalmeanParameter, - ) +def run_diag(parameter: CoreParameter) -> CoreParameter: + """Get annual cycle zonal mean results for the annual_cycle_zonal_mean diagnostic set. + This function loops over each 2D variable -def run_diag(parameter: ACzonalmeanParameter) -> ACzonalmeanParameter: - """Runs the annual cycle zonal mean diagnostic. + Parameters + ---------- + parameter : CoreParameter + The parameter for the diagnostic. - :param parameter: Parameters for the run - :type parameter: CoreParameter - :return: Parameters for the run - :rtype: CoreParameter + Returns + ------- + CoreParameter + The parameter for the diagnostic with the result (completed or failed). + + Raises + ------ + RuntimeError + If the dimensions of the test and reference datasets are not aligned + (e.g., one is 2-D and the other is 3-D). """ - variables: List[str] = parameter.variables + variables = parameter.variables ref_name = getattr(parameter, "ref_name", "") + regions = parameter.regions + + for region in regions: + if region != "global": + raise RuntimeError( + f"Region ({region}) is not supported. Only global region is currently " + "supported for the annual_cycle_zonal set." + ) + + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = var_key + + parameter._set_name_yrs_attrs(test_ds, ref_ds, "01") + + ds_test = test_ds.get_climo_dataset(var_key, "ANNUALCYCLE") + ds_ref = ref_ds.get_ref_climo_dataset(var_key, "ANNUALCYCLE", ds_test) + + # Encode the time coordinate to month integer (1 to 12). This is + # necessary to avoid cases where "months since ..." units are used + # and the calendar attribute is not set to "360_day". It also + # replicates the CDAT code behavior. + ds_test = _encode_time_coords(ds_test) + ds_ref = _encode_time_coords(ds_ref) + + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] + + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) + + if is_dims_diff: + raise RuntimeError( + "The dimensions of the test and reference variables are different, " + f"({dv_test.dims} vs. {dv_ref.dims})." + ) + elif not is_vars_3d: + _run_diags_annual_cycle( + parameter, + ds_test, + ds_ref, + regions, + var_key, + ref_name, + ) + elif is_vars_3d: + raise RuntimeError( + "3-D variables are not supported in annual cycle zonal mean set." + ) + else: + raise RuntimeError("Dimensions of the two variables are different.") - test_data = Dataset(parameter, test=True) - ref_data = Dataset(parameter, ref=True) + return parameter - parameter.test_name_yrs = get_name_and_yrs(parameter, test_data, "01") - parameter.ref_name_yrs = get_name_and_yrs(parameter, ref_data, "01") - for var in variables: - test_ac = _create_annual_cycle(test_data, var) - ref_ac = _create_annual_cycle(ref_data, var) +def _run_diags_annual_cycle( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_ref: xr.Dataset, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run annual cycle zonal run diagnostics. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_ref : xr.Dataset + The dataset containing the ref variable. If this is a model-only run + then it will be the same dataset as ``ds_test``. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + for region in regions: + logger.info(f"Selected region: {region}") - test_ac_reg, ref_ac_reg = regrid_to_lower_res( - test_ac, - ref_ac, + ds_test_reg, ds_ref_reg = align_grids_to_lower_res( + ds_test, + ds_ref, + var_key, parameter.regrid_tool, parameter.regrid_method, ) - test_ac_zonal_mean = cdutil.averager(test_ac, axis="x", weights="generate") - test_ac_reg_zonal_mean = cdutil.averager( - test_ac_reg, axis="x", weights="generate" + test_zonal_mean: xr.DataArray = spatial_avg(ds_test, var_key, axis=["X"], as_list=False) # type: ignore + test_reg_zonal_mean: xr.DataArray = spatial_avg( + ds_test_reg, var_key, axis=["X"], as_list=False # type: ignore ) if ( parameter.ref_name == "OMI-MLS" ): # SCO from OMI-MLS only available as (time, lat) - test_ac_reg_zonal_mean = select_region_lat_lon( - "60S60N", test_ac_reg_zonal_mean, parameter - ) - test_ac_zonal_mean = select_region_lat_lon( - "60S60N", test_ac_zonal_mean, parameter - ) - if var == "SCO": - ref_ac_zonal_mean = ref_ac - ref_ac_reg_zonal_mean = ref_ac_reg + test_zonal_mean = test_zonal_mean.sel(lat=slice(-60, 60)) + test_reg_zonal_mean = test_reg_zonal_mean.sel(lat=slice(-60, 60)) + + if var_key == "SCO": + ref_zonal_mean = ds_ref[var_key] + ref_reg_zonal_mean = ds_ref[var_key] else: - ref_ac_zonal_mean = cdutil.averager( - ref_ac, axis="x", weights="generate" - ) - ref_ac_reg_zonal_mean = cdutil.averager( - ref_ac_reg, axis="x", weights="generate" + ref_zonal_mean = spatial_avg(ds_ref, var_key, axis=["X"], as_list=False) # type: ignore + ref_reg_zonal_mean = spatial_avg( + ds_ref_reg, var_key, axis=["X"], as_list=False # type: ignore ) else: - ref_ac_zonal_mean = cdutil.averager(ref_ac, axis="x", weights="generate") - ref_ac_reg_zonal_mean = cdutil.averager( - ref_ac_reg, axis="x", weights="generate" + ref_zonal_mean = spatial_avg(ds_ref, var_key, axis=["X"], as_list=False) # type: ignore + ref_reg_zonal_mean = spatial_avg( + ds_ref_reg, var_key, axis=["X"], as_list=False # type: ignore ) - # if var == 'SCO' and parameter.ref_name=='OMI-MLS': # SCO from OMI-MLS only available as (time, lat) - # ref_ac_zonal_mean = ref_ac - # ref_ac_reg_zonal_mean = ref_ac_reg - - # test_ac_reg_zonal_mean = select_region_lat_lon("60S60N", test_ac_reg_zonal_mean, parameter) - # test_ac_zonal_mean = select_region_lat_lon("60S60N", test_ac_zonal_mean, parameter) - # else: - # ref_ac_zonal_mean = cdutil.averager(ref_ac, axis="x", weights="generate") - # ref_ac_reg_zonal_mean = cdutil.averager( - # ref_ac_reg, axis="x", weights="generate" - # ) - - diff_ac = test_ac_reg_zonal_mean - ref_ac_reg_zonal_mean - diff_ac.setAxis(1, test_ac_reg_zonal_mean.getAxis(1)) - diff_ac.setAxis(0, test_ac_reg_zonal_mean.getAxis(0)) - - parameter.var_id = var - parameter.output_file = "-".join([ref_name, var, "Annual-Cycle"]) - parameter.main_title = str(" ".join([var, "Zonal Mean Annual Cycle"])) - - parameter.viewer_descr[var] = ( - test_ac.long_name - if hasattr(test_ac, "long_name") - else "No long_name attr in test data." - ) - - metrics_dict: Dict[str, Any] = {} + # Make a copy of dataset to preserve time dimension + with xr.set_options(keep_attrs=True): + diff = test_reg_zonal_mean - ref_reg_zonal_mean - plot( - parameter.current_set, - ref_ac_zonal_mean, - test_ac_zonal_mean, - diff_ac, - metrics_dict, - parameter, + parameter._set_param_output_attrs( + var_key, "ANNUALCYCLE", region, ref_name, ilev=None ) - save_ncfiles( - parameter.current_set, - test_ac_zonal_mean, - ref_ac_zonal_mean, - diff_ac, + _save_data_metrics_and_plots( parameter, + plot_func, + var_key, + test_zonal_mean.to_dataset(), + ref_zonal_mean.to_dataset(), + diff.to_dataset(), + metrics_dict=None, ) - return parameter +def _encode_time_coords(ds: xr.Dataset) -> xr.Dataset: + """Encode the time coordinates to month integers (1 to 12). -def _create_annual_cycle(dataset: Dataset, variable: str) -> TransientVariable: - """Creates the annual climatology cycle for a dataset variable. + Parameters + ---------- + ds : xr.Dataset + The dataset with decoded time coordinates in `cftime`. - :param dataset: Dataset - :type dataset: Dataset - :param variable: Dataset variable - :type variable: str - :return: Variable's annual climatology cycle - :rtype: tvariable.TransientVariable + Returns + ------- + xr.Dataset + The dataset with decoded time coordinates as month integers. """ - months = range(1, 13) - month_list = [f"{x:02}" for x in list(months)] + ds_new = ds.copy() - for index, month in enumerate(month_list): - var = dataset.get_climo_variable(variable, month) - if month == "01": - var_ann_cycle: TransientVariable = MV2.zeros([12] + list(var.shape)) - var_ann_cycle.id = var.id - var_ann_cycle.long_name = var.long_name - var_ann_cycle.units = var.units + time_coords = xc.get_dim_coords(ds_new, axis="T") + dim_key = time_coords.name - time: "TransientAxis" = createAxis(months) - time.id = "time" + encoded_time, _ = xc.create_axis(dim_key, list(range(1, 13))) + encoded_time.attrs = time_coords.attrs - var_ann_cycle.setAxis(0, time) - time.designateTime() - - for iax in list(range(len(var.shape))): - var_ann_cycle.setAxis(1 + iax, var.getAxis(iax)) - # var_ann_cycle.setAxis(2, var.getAxis(1)) - - var_ann_cycle[0] = var - else: - var_ann_cycle[index] = var + ds_new = ds_new.assign_coords({dim_key: encoded_time}) - return var_ann_cycle + return ds_new diff --git a/e3sm_diags/driver/default_diags/annual_cycle_zonal_mean_model_vs_obs.cfg b/e3sm_diags/driver/default_diags/annual_cycle_zonal_mean_model_vs_obs.cfg index 3babb9b14..e97a7d124 100644 --- a/e3sm_diags/driver/default_diags/annual_cycle_zonal_mean_model_vs_obs.cfg +++ b/e3sm_diags/driver/default_diags/annual_cycle_zonal_mean_model_vs_obs.cfg @@ -380,6 +380,7 @@ reference_name = "MERRA2 Reanalysis" contour_levels = [5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60] diff_levels = [-12, -9, -6, -4, -3, -2, -1, 1, 2, 3, 4, 6, 9, 12] + [#] sets = ["annual_cycle_zonal_mean"] case_id = "MERRA2_Aerosols" diff --git a/e3sm_diags/driver/utils/climo_xr.py b/e3sm_diags/driver/utils/climo_xr.py index 3dfe2b886..92d2c751a 100644 --- a/e3sm_diags/driver/utils/climo_xr.py +++ b/e3sm_diags/driver/utils/climo_xr.py @@ -35,6 +35,7 @@ "MAM", "JJA", "SON", + "ANNUALCYCLE", ] CLIMO_FREQS = get_args(ClimoFreq) diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index dcb887ac5..0e42a177a 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -446,6 +446,18 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: if "slat" in ds.dims: ds = ds.drop_dims(["slat", "slon"]) + all_vars = list(ds.data_vars.keys()) + keep_bnds = [var for var in all_vars if "bnd" in var or "bounds" in var] + ds = ds[[self.var] + keep_bnds] + + # NOTE: There seems to be an issue with `open_mfdataset()` and + # using the multiprocessing scheduler defined in e3sm_diags, + # resulting in timeouts and resource locking. + # To avoid this, we load the multi-file dataset into memory before + # performing downstream operations. + # Related GH issue: https://github.com/pydata/xarray/issues/3781 + ds.load(scheduler="sync") + return ds def _open_climo_dataset(self, filepath: str) -> xr.Dataset: @@ -479,30 +491,39 @@ def _open_climo_dataset(self, filepath: str) -> xr.Dataset: Raised for all ValueErrors other than "dimension 'time' already exists as a scalar variable". """ - # No need to decode times because the climatology is already calculated. - # Times only need to be decoded if climatology is being calculated - # (time series datasets). - args = {"path": filepath, "decode_times": False, "add_bounds": ["X", "Y"]} - time_coords = xr.DataArray( - name="time", - dims=["time"], - data=[0], - attrs={"axis": "T", "standard_name": "time"}, - ) + # Time coordinates are decoded because there might be cases where + # a multi-file climatology dataset has different units between files + # but raw encoded time values overlap. Decoding with Xarray allows + # concatenation of datasets with this issue (e.g., `area_cycle_zonal_mean` + # set with the MERRA2_Aerosols climatology datasets). + # NOTE: This GitHub issue explains why the "coords" and "compat" args + # are defined as they are below: https://github.com/xCDAT/xcdat/issues/641 + args = { + "paths": filepath, + "decode_times": True, + "add_bounds": ["X", "Y"], + "coords": "minimal", + "compat": "override", + } try: - ds = xc.open_dataset(**args) + ds = xc.open_mfdataset(**args) except ValueError as e: # pragma: no cover # FIXME: Need to fix the test that covers this code block. msg = str(e) if "dimension 'time' already exists as a scalar variable" in msg: - ds = xc.open_dataset(**args, drop_variables=["time"]) + ds = xc.open_mfdataset(**args, drop_variables=["time"]) else: raise ValueError(msg) if "time" not in ds.coords: - ds["time"] = time_coords + ds["time"] = xr.DataArray( + name="time", + dims=["time"], + data=[0], + attrs={"axis": "T", "standard_name": "time"}, + ) return ds @@ -548,8 +569,19 @@ def _get_climo_filepath(self, season: str) -> str: filename = self.parameter.ref_name elif self.data_type == "test": filename = self.parameter.test_name - - filepath = self._find_climo_filepath(filename, season) + if season == "ANNUALCYCLE": + filepath = self._find_climo_filepath(filename, "01") + # find the path for 12 monthly mean files + if filepath: + filename_01 = filepath.split("/")[-1] + filepath = filepath.replace( + # f"{filename_01}", f"{filename}_[0-1][0-9]_*_*climo.nc" + # AOD_550 dataset has pattern AOD_550_01_climo.nc, other dataset has e.g ERA5_ANN_197901_201912_climo.nc + f"{filename_01}", + f"{filename}_[0-1][0-9]_*climo.nc", + ) + else: + filepath = self._find_climo_filepath(filename, season) # If absolutely no filename was found, then raise an error. if filepath is None: diff --git a/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py b/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py new file mode 100644 index 000000000..43f7bcd21 --- /dev/null +++ b/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py @@ -0,0 +1,134 @@ +from typing import List, Optional, Tuple + +import matplotlib +import numpy as np +import xarray as xr +import xcdat as xc +from cartopy.mpl.ticker import LatitudeFormatter + +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.utils import ( + DEFAULT_PANEL_CFG, + _add_colorbar, + _add_contour_plot, + _configure_titles, + _get_c_levels_and_norm, + _save_plot, +) + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + + +# Configs for x axis ticks and x axis limits. +X_TICKS = ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"] +Y_TICKS = np.array([-90, -60, -30, 0, 30, 60, 90]) +Y_LIM = -90, 90 + + +def plot( + parameter: CoreParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, +): + """Plot the variable's metrics generated by the annual_cycle_zonal_mean set. + + Parameters + ---------- + parameter : CoreParameter + The CoreParameter object containing plot configurations. + da_test : xr.DataArray + The test data. + da_ref : xr.DataArray + The reference data. + da_diff : xr.DataArray + The difference between `da_test` and `da_ref` (both are regridded to + the lower resolution of the two beforehand). + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) + + units = da_test.units + + _add_colormap( + 0, + da_test, + fig, + parameter, + parameter.test_colormap, + parameter.contour_levels, + title=(parameter.test_name_yrs, parameter.test_title, units), + ) + + _add_colormap( + 1, + da_ref, + fig, + parameter, + parameter.reference_colormap, + parameter.contour_levels, + title=(parameter.ref_name_yrs, parameter.reference_title, units), + ) + + _add_colormap( + 2, + da_diff, + fig, + parameter, + parameter.diff_colormap, + parameter.diff_levels, + title=(None, parameter.diff_title, da_diff.attrs["units"]), + ) + + _save_plot(fig, parameter) + + plt.close() + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: CoreParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[Optional[str], str, str], +): + lat = xc.get_dim_coords(var, axis="Y") + time = xc.get_dim_coords(var, axis="T") + + var = var.squeeze() + + # Configure contour levels + # -------------------------------------------------------------------------- + c_levels, norm = _get_c_levels_and_norm(contour_levels) + + # Add the contour plot + # -------------------------------------------------------------------------- + ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=None) + var = var.transpose(lat.name, time.name) + contour_plot = _add_contour_plot( + ax, parameter, var, time, lat, color_map, None, norm, c_levels + ) + + # Configure the aspect ratio and plot titles. + # -------------------------------------------------------------------------- + ax.set_aspect("auto") + _configure_titles(ax, title) + + # Configure x and y axis. + # -------------------------------------------------------------------------- + plt.xticks(time, X_TICKS) + lat_formatter = LatitudeFormatter() + ax.yaxis.set_major_formatter(lat_formatter) + ax.tick_params(labelsize=8.0, direction="out", width=1) + ax.xaxis.set_ticks_position("bottom") + ax.yaxis.set_ticks_position("left") + + # Add and configure the color bar. + # -------------------------------------------------------------------------- + _add_colorbar(fig, subplot_num, DEFAULT_PANEL_CFG, contour_plot, c_levels) diff --git a/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py b/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py deleted file mode 100644 index ab72288b4..000000000 --- a/e3sm_diags/plot/cartopy/annual_cycle_zonal_mean_plot.py +++ /dev/null @@ -1,189 +0,0 @@ -from __future__ import print_function - -import os - -import matplotlib -import numpy as np -from cartopy.mpl.ticker import LatitudeFormatter - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import get_colormap - -matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.6810, 0.6465, 0.2258), - (0.1691, 0.3961, 0.6465, 0.2258), - (0.1691, 0.1112, 0.6465, 0.2258), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def plot_panel(n, fig, var, clevels, cmap, title, parameters, stats=None): - mon = var.getTime() - lat = var.getLatitude() - var = np.transpose(var) - - # Contour levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - # Contour plot - ax = fig.add_axes(panel[n]) - cmap = get_colormap(cmap, parameters) - # p1 = ax.contourf( - p1 = ax.pcolor( - mon, - lat, - var, - norm=norm, - cmap=cmap, - edgecolors="face", - shading="auto", - ) - - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - - mon_xticks = ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"] - plt.xticks(mon, mon_xticks) - lat_formatter = LatitudeFormatter() - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - - # Color bar - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0215, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax, extend="both") - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - else: - fmt = "%6.1f" - pad = 30 - cbar.set_ticks(levels[1:-1]) - labels = [fmt % level for level in levels[1:-1]] - if all(x[-2:] == ".0" for x in labels): - labels = [x[:-2] for x in labels] - pad = pad - 5 - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - -def plot(reference, test, diff, metrics_dict, parameter): - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - - plot_panel( - 0, - fig, - test, - parameter.contour_levels, - parameter.test_colormap, - (parameter.test_name_yrs, parameter.test_title, test.units), - parameter, - ) - - plot_panel( - 1, - fig, - reference, - parameter.contour_levels, - parameter.reference_colormap, - (parameter.ref_name_yrs, parameter.reference_title, reference.units), - parameter, - ) - - plot_panel( - 2, - fig, - diff, - parameter.diff_levels, - parameter.diff_colormap, - (None, parameter.diff_title, None), - parameter, - ) - - fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - # Save individual subplots - for f in parameter.output_format_subplot: - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - fname = fnm + ".%i." % (i) + f - plt.savefig(fname, bbox_inches=extent) - - orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - parameter.output_file, - ) - fname = orig_fnm + ".%i." % (i) + f - logger.info(f"Sub-plot saved in: {fname}") - - i += 1 - - plt.close() diff --git a/e3sm_diags/viewer/annual_cycle_zonal_mean_viewer.py b/e3sm_diags/viewer/annual_cycle_zonal_mean_viewer.py index 83e7d8753..6a09cc87c 100644 --- a/e3sm_diags/viewer/annual_cycle_zonal_mean_viewer.py +++ b/e3sm_diags/viewer/annual_cycle_zonal_mean_viewer.py @@ -27,7 +27,7 @@ def create_viewer(root_dir, parameters): # This was obtained and stored in the driver for this plotset. viewer.add_col(param.viewer_descr[var]) - file_name = "{}-{}-{}.png".format(param.ref_name, var, "Annual-Cycle") + file_name = "{}-{}-{}.png".format(param.ref_name, var, "ANNUALCYCLE-global") # We need to make sure we have relative paths, and not absolute ones. # This is why we don't use get_output_dir() as in the plotting script # to get the file name. diff --git a/tests/e3sm_diags/driver/test_annual_cycle_zonal_mean_driver.py b/tests/e3sm_diags/driver/test_annual_cycle_zonal_mean_driver.py index 5888e884b..666074a2b 100644 --- a/tests/e3sm_diags/driver/test_annual_cycle_zonal_mean_driver.py +++ b/tests/e3sm_diags/driver/test_annual_cycle_zonal_mean_driver.py @@ -1,51 +1,8 @@ -from unittest.case import TestCase -from unittest.mock import Mock +import pytest -import numpy as np -from cdms2.axis import TransientAxis -from cdms2.tvariable import TransientVariable -from e3sm_diags.driver.annual_cycle_zonal_mean_driver import _create_annual_cycle - - -class TestCreateAnnualCycle(TestCase): +class TestCreateAnnualCycle: + @pytest.mark.xfail def test_returns_annual_cycle_for_a_dataset_variable(self): - # Mock a Dataset object and get_climo_variable() - dataset_mock = Mock() - dataset_mock.get_climo_variable.return_value = TransientVariable( - data=np.zeros((2, 2)), - attributes={"id": "PRECNT", "long_name": "long_name", "units": "units"}, - axes=[ - TransientAxis(np.zeros(2), id="latitude"), - TransientAxis(np.zeros(2), id="longitude"), - ], - ) - - # Generate expected and result - expected = TransientVariable( - data=np.zeros((12, 2, 2)), - attributes={"id": "PRECNT", "long_name": "long_name", "units": "units"}, - axes=[ - TransientAxis( - np.arange(1, 13), - id="time", - attributes={"axis": "T", "calendar": "gregorian"}, - ), - TransientAxis(np.zeros(2), id="latitude"), - TransientAxis(np.zeros(2), id="longitude"), - ], - ) - result = _create_annual_cycle(dataset_mock, variable="PRECNT") - - # Check data are equal - np.array_equal(result.data, expected.data) - - # Check attributes are equal. Must delete "name" attribute since they differ. - result.deleteattribute("name") - expected.deleteattribute("name") - self.assertDictEqual(result.attributes, expected.attributes) - - # Check time, latitude, and longitude axes are equal - np.array_equal(result.getAxis(0)[:], expected.getAxis(0)[:]) - np.array_equal(result.getLatitude()[:], expected.getLatitude()[:]) - np.array_equal(result.getLongitude()[:], expected.getLongitude()[:]) + # FIXME: Update this test. + pass diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 5aa81e0d7..79371f18e 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -1576,34 +1576,39 @@ def test_raises_error_if_ref_name_attrs_not_set_ref_dataset(self): with pytest.raises(AttributeError): ds1.get_name_yrs_attr("ANN") - def test_returns_test_name_and_yrs_averaged_attr_with_climo_dataset(self): + def test_returns_test_name_and_yrs_averaged_attr_with_climo_dataset_using_short_test_name( + self, + ): # Case 1: name is taken from `parameter.short_test_name` - param1 = _create_parameter_object( + param = _create_parameter_object( "test", "climo", self.data_path, "2000", "2002" ) - param1.short_test_name = "short_test_name" - param1.test_file = self.test_file + param.short_test_name = "short_test_name" + param.test_file = self.test_file # Write the climatology dataset out before function call. - self.ds_climo.to_netcdf(f"{self.data_path}/{param1.test_file}") + self.ds_climo.to_netcdf(f"{self.data_path}/{param.test_file}") - ds1 = Dataset(param1, data_type="test") + ds1 = Dataset(param, data_type="test") result = ds1.get_name_yrs_attr("ANN") expected = "short_test_name (2000-2002)" assert result == expected + def test_returns_test_name_and_yrs_averaged_attr_with_climo_dataset_using_test_name( + self, + ): # Case 2: name is taken from `parameter.test_name` - param2 = _create_parameter_object( + param = _create_parameter_object( "test", "climo", self.data_path, "2000", "2002" ) - param2.test_name = "test_name" + param.test_name = "test_name" # Write the climatology dataset out before function call. - param2.test_file = self.test_file - self.ds_climo.to_netcdf(f"{self.data_path}/{param2.test_file}") + param.test_file = self.test_file + self.ds_climo.to_netcdf(f"{self.data_path}/{param.test_file}") - ds2 = Dataset(param2, data_type="test") + ds2 = Dataset(param, data_type="test") result = ds2.get_name_yrs_attr("ANN") expected = "test_name (2000-2002)" @@ -1629,50 +1634,52 @@ def test_returns_only_test_name_attr_if_yrs_averaged_attr_not_found_with_climo_d assert result == expected - def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset(self): + def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset_using_short_ref_name( + self, + ): # Case 1: name is taken from `parameter.short_ref_name` - param1 = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2002" - ) - param1.short_ref_name = "short_ref_name" - param1.ref_file = self.ref_file + param = _create_parameter_object("ref", "climo", self.data_path, "2000", "2002") + param.short_ref_name = "short_ref_name" + param.ref_file = self.ref_file # Write the climatology dataset out before function call. - self.ds_climo.to_netcdf(f"{self.data_path}/{param1.ref_file}") + self.ds_climo.to_netcdf(f"{self.data_path}/{param.ref_file}") - ds1 = Dataset(param1, data_type="ref") + ds1 = Dataset(param, data_type="ref") result = ds1.get_name_yrs_attr("ANN") expected = "short_ref_name (2000-2002)" assert result == expected + def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset_using_reference_name( + self, + ): # Case 2: name is taken from `parameter.reference_name` - param2 = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2002" - ) - param2.reference_name = "reference_name" - param2.ref_file = self.ref_file + param = _create_parameter_object("ref", "climo", self.data_path, "2000", "2002") + param.reference_name = "reference_name" + param.ref_file = self.ref_file # Write the climatology dataset out before function call. - self.ds_climo.to_netcdf(f"{self.data_path}/{param2.ref_file}") + self.ds_climo.to_netcdf(f"{self.data_path}/{param.ref_file}") - ds2 = Dataset(param2, data_type="ref") + ds2 = Dataset(param, data_type="ref") result = ds2.get_name_yrs_attr("ANN") expected = "reference_name (2000-2002)" assert result == expected + def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset_using_ref_name( + self, + ): # Case 3: name is taken from `parameter.ref_name` - param3 = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2002" - ) - param3.ref_name = "ref_name" - param3.ref_file = self.ref_file + param = _create_parameter_object("ref", "climo", self.data_path, "2000", "2002") + param.ref_name = "ref_name" + param.ref_file = self.ref_file # Write the climatology dataset out before function call. - self.ds_climo.to_netcdf(f"{self.data_path}/{param3.ref_file}") + self.ds_climo.to_netcdf(f"{self.data_path}/{param.ref_file}") - ds3 = Dataset(param3, data_type="ref") + ds3 = Dataset(param, data_type="ref") result = ds3.get_name_yrs_attr("ANN") expected = "ref_name (2000-2002)" From 907d2f07494b5341527ca8cb5a3a2f6f16417775 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 30 Jul 2024 10:23:37 -0700 Subject: [PATCH 21/41] CDAT Migration Phase 2: Refactor `qbo` set (#826) --- .../664-qbo/debug/qa.py | 108 ++ .../664-qbo/regression_test.ipynb | 1696 +++++++++++++++++ .../664-qbo/regression_test_png.ipynb | 225 +++ .../cdat_regression_testing/664-qbo/run.cfg | 6 + .../664-qbo/run_script.py | 12 + e3sm_diags/driver/qbo_driver.py | 474 ++--- e3sm_diags/driver/utils/dataset_xr.py | 60 +- e3sm_diags/parameter/core_parameter.py | 8 +- e3sm_diags/plot/qbo_plot.py | 237 +++ .../driver/utils/test_dataset_xr.py | 3 + 10 files changed, 2581 insertions(+), 248 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/664-qbo/debug/qa.py create mode 100644 auxiliary_tools/cdat_regression_testing/664-qbo/regression_test.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/664-qbo/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/664-qbo/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/664-qbo/run_script.py create mode 100644 e3sm_diags/plot/qbo_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/664-qbo/debug/qa.py b/auxiliary_tools/cdat_regression_testing/664-qbo/debug/qa.py new file mode 100644 index 000000000..3dd42e3a3 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/664-qbo/debug/qa.py @@ -0,0 +1,108 @@ +""" +Issue - The slice is excluding points for the ref file. +""" +# %% +import xarray as xr +import xcdat as xc + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS + +REGION = "5S5N" +region_slice = (-5.0, 5.0) + + +test_file = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis/time-series/rgr/U_005101_006012.nc" +ref_file = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/time-series/ERA-Interim/ua_197901_201612.nc" + + +def _subset_on_region(ds: xr.Dataset) -> xr.Dataset: + """Subset the dataset by the region 5S5N (latitude). + + This function takes into account the CDAT subset flag, "ccb", which can + add new latitude coordinate points to the beginning and end. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + + Returns + ------- + xr.Dataset + The dataset subsetted by the region. + """ + lat_slice = REGION_SPECS[REGION]["lat"] # type: ignore + + ds_new = ds.copy() + dim_key = xc.get_dim_keys(ds, "Y") + + # 1. Subset on the region_slice + # slice = -5.0, 5.0 + ds_new = ds_new.sel({dim_key: slice(*lat_slice)}) + + # 2. Add delta to first and last value + dim_bounds = ds_new.bounds.get_bounds(axis="Y") + # delta = 1.0 / 2 = 0.5 + delta = (dim_bounds[0][1].item() - dim_bounds[0][0].item()) / 2 + delta_slice = (lat_slice[0] - delta, lat_slice[1] + delta) + + # 3. Check if latitude slice value exists in original latitude. + # If it exists already, then don't add the coordinate point. + # If it does not exist, add the coordinate point. + # delta = 0.5 + # delta slice = -5.5, 5.5 + ds_list = [ds_new] + + try: + ds.sel({dim_key: delta_slice[0]}) + except KeyError: + ds_first_pt = ds_new.isel({dim_key: 0}) + ds_first_pt[dim_key] = ds_first_pt[dim_key] - delta + + ds_list.append(ds_first_pt) + + try: + ds.sel({dim_key: delta_slice[-1]}) + except KeyError: + ds_last_pt = ds_new.isel({dim_key: -1}) + ds_last_pt[dim_key] = ds_last_pt[dim_key] + delta + + ds_list.append(ds_last_pt) + + ds_new = xr.concat(ds_list, dim=dim_key, data_vars="minimal", coords="minimal") + ds_new.drop_vars(dim_bounds) + + return ds_new + + +ds_test = xc.open_dataset(test_file) +ds_ref = xc.open_dataset(ref_file) + +# %% +""" +"ccb" flag is adding the bounds delta / 2 to the end and beginning coordinates. + +CDAT Expected: 10 + array([-4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5]) +xCDAT Result: 10 + array([-4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5]) +""" +ds_test_reg = _subset_on_region(ds_test) +ds_test_reg.lat + +# %% +""" +"ccb" flag is adding the bounds delta / 2 to the end and beginning coordinates. + +CDAT Expected: 15 + array([-4.9375, -4.5 , -3.75 , -3. , -2.25 , -1.5 , -0.75 , + 0. , 0.75 , 1.5 , 2.25 , 3. , 3.75 , 4.5 , + 4.9375]) +xCDAT Result: 15 + array([-4.875, -4.5 , -3.75 , -3. , -2.25 , -1.5 , -0.75 , 0. , 0.75 , + 1.5 , 2.25 , 3. , 3.75 , 4.5 , 4.875]) +""" +ds_ref_reg = _subset_on_region(ds_ref) +ds_ref_reg.lat + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/664-qbo/regression_test.ipynb b/auxiliary_tools/cdat_regression_testing/664-qbo/regression_test.ipynb new file mode 100644 index 000000000..7340b1394 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/664-qbo/regression_test.ipynb @@ -0,0 +1,1696 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "SET_NAME = \"qbo\"\n", + "SET_DIR = \"664-qbo\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_keys = [\"U\"]\n", + " for key in var_keys:\n", + " print(f\" * var_key: {key}\")\n", + "\n", + " dev_data = ds1[key].values\n", + " main_data = ds2[key].values\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/_qbo_ref_unify.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/_qbo_test_unify.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_level_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_level_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (4 and 4).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's ignore `qbo_diags_level_ref.nc` and `qbo_diags_level_test.nc`.\n", + "\n", + "- Those files are just the Z dimension of the variable found in the `qbo_diags_qbo_ref.nc` and `qbo_diags_qbo_test.nc`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "MAIN_GLOB = [filename for filename in MAIN_GLOB if \"_level\" not in filename]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 4440 / 4440 (100%)\n", + "Max absolute difference: 64.15747321\n", + "Max relative difference: 1767.25842536\n", + " x: array([[-16.930712, -42.569729, -25.370665, ..., -2.711329, -2.530502,\n", + " -2.283684],\n", + " [ -2.24533 , -41.558418, -27.585657, ..., -2.62069 , -2.403724,...\n", + " y: array([[ -2.285837, -2.53099 , -2.710924, ..., -25.36748 , -42.5402 ,\n", + " -16.94262 ],\n", + " [ -2.126941, -2.409103, -2.624998, ..., -27.588021, -41.54002 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- Reference file diffs are massive because the CDAT codebase does not correctly sort the data by the Z axis (`plev`). I opened an issue to address this on `main` here: https://github.com/E3SM-Project/e3sm_diags/issues/825\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Validation: Sorting the CDAT produced reference file by the Z axis in ascending fixes the issue. We can move forward with the changes in this PR.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import xcdat as xc\n", + "import xarray as xr\n", + "\n", + "ds_xc = xc.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\"\n", + ")\n", + "ds_cdat = xc.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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array([[-16.94262 , -42.5402 , -25.36748 , ..., -2.710924, -2.53099 ,\n -2.285837],\n [ -2.284392, -41.54002 , -27.588021, ..., -2.624998, -2.409103,...", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtesting\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_allclose\u001b[49m\u001b[43m(\u001b[49m\u001b[43mds_xc\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mU\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cdat\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mU\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "File \u001b[0;32m~/mambaforge/envs/e3sm_diags_dev_669/lib/python3.10/contextlib.py:79\u001b[0m, in \u001b[0;36mContextDecorator.__call__..inner\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds):\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_recreate_cm():\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m~/mambaforge/envs/e3sm_diags_dev_669/lib/python3.10/site-packages/numpy/testing/_private/utils.py:797\u001b[0m, in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf, strict)\u001b[0m\n\u001b[1;32m 793\u001b[0m err_msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(remarks)\n\u001b[1;32m 794\u001b[0m msg \u001b[38;5;241m=\u001b[39m build_err_msg([ox, oy], err_msg,\n\u001b[1;32m 795\u001b[0m verbose\u001b[38;5;241m=\u001b[39mverbose, header\u001b[38;5;241m=\u001b[39mheader,\n\u001b[1;32m 796\u001b[0m names\u001b[38;5;241m=\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m), precision\u001b[38;5;241m=\u001b[39mprecision)\n\u001b[0;32m--> 797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAssertionError\u001b[39;00m(msg)\n\u001b[1;32m 798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 799\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtraceback\u001b[39;00m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nNot equal to tolerance rtol=1e-07, atol=0\n\nMismatched elements: 4440 / 4440 (100%)\nMax absolute difference: 0.18704352\nMax relative difference: 7.69507964\n x: array([[-16.930712, -42.569729, -25.370665, ..., -2.711329, -2.530502,\n -2.283684],\n [ -2.24533 , -41.558418, -27.585657, ..., -2.62069 , -2.403724,...\n y: array([[-16.94262 , -42.5402 , -25.36748 , ..., -2.710924, -2.53099 ,\n -2.285837],\n [ -2.284392, -41.54002 , -27.588021, ..., -2.624998, -2.409103,..." + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "np.testing.assert_allclose(ds_xc[\"U\"], ds_cdat[\"U\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Maxes and Mins -- Really close\n" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "61.54721945135814 61.36017592984254\n", + "-66.54760399615296 -66.52449748057968\n" + ] + } + ], + "source": [ + "print(ds_xc[\"U\"].max().item(), ds_cdat[\"U\"].max().item())\n", + "print(ds_xc[\"U\"].min().item(), ds_cdat[\"U\"].min().item())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Sum and Mean -- Really close\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-3.739846878096383 -3.745529874323115\n", + "-16604.92013874794 -16630.15264199463\n" + ] + } + ], + "source": [ + "print(ds_xc[\"U\"].mean().item(), ds_cdat[\"U\"].mean().item())\n", + "print(ds_xc[\"U\"].sum().item(), ds_cdat[\"U\"].sum().item())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/664-qbo/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/664-qbo/regression_test_png.ipynb new file mode 100644 index 000000000..8f2c4085d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/664-qbo/regression_test_png.ipynb @@ -0,0 +1,225 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"qbo\"\n", + "SET_DIR = \"664-qbo\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-diurnal-cycle\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-diurnal-cycle\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags.png!\n", + "Number of files missing: 2\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 1).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[13], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 1)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim_diff/qbo_diags.png\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/664-qbo/run.cfg b/auxiliary_tools/cdat_regression_testing/664-qbo/run.cfg new file mode 100644 index 000000000..1d56fcb15 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/664-qbo/run.cfg @@ -0,0 +1,6 @@ +[#] +sets = ["qbo"] +case_id = "QBO-ERA-Interim" +variables = ["U"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" diff --git a/auxiliary_tools/cdat_regression_testing/664-qbo/run_script.py b/auxiliary_tools/cdat_regression_testing/664-qbo/run_script.py new file mode 100644 index 000000000..c9007cbee --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/664-qbo/run_script.py @@ -0,0 +1,12 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.664-qbo.run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "qbo" +SET_DIR = "664-qbo" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/664-qbo/run.cfg" +MULTIPROCESSING = False + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/driver/qbo_driver.py b/e3sm_diags/driver/qbo_driver.py index 7891eb7cc..d05952691 100644 --- a/e3sm_diags/driver/qbo_driver.py +++ b/e3sm_diags/driver/qbo_driver.py @@ -2,111 +2,270 @@ import json import os -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Dict, Literal, Tuple, TypedDict -import cdutil import numpy as np import scipy.fftpack -from scipy.signal import detrend +import xarray as xr +import xcdat as xc -from e3sm_diags.derivations import default_regions -from e3sm_diags.driver import utils +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import _get_output_dir, _write_to_netcdf +from e3sm_diags.driver.utils.regrid import _subset_on_region from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy.qbo_plot import plot +from e3sm_diags.metrics.metrics import spatial_avg +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.plot.qbo_plot import plot logger = custom_logger(__name__) if TYPE_CHECKING: from e3sm_diags.parameter.qbo_parameter import QboParameter +# The region will always be 5S5N +REGION = "5S5N" -def unify_plev(var): - """ - Given a data set with a z-axis (plev), - convert to the plev with units: hPa and make sure plev is in ascending order(same as model data) + +class MetricsDict(TypedDict): + qbo: xr.DataArray + psd_sum: np.ndarray + amplitude: np.ndarray + period_new: np.ndarray + psd_x_new: np.ndarray + amplitude_new: np.ndarray + name: str + + +def run_diag(parameter: QboParameter) -> QboParameter: + variables = parameter.variables + + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + + for var_key in variables: + logger.info(f"Variable={var_key}") + + ds_test = test_ds.get_time_series_dataset(var_key) + ds_ref = ref_ds.get_time_series_dataset(var_key) + + ds_test_region = _subset_on_region(ds_test, var_key, REGION) + ds_ref_region = _subset_on_region(ds_ref, var_key, REGION) + + # Convert plevs of test and ref for unified units and direction + ds_test_region = _unify_plev(ds_test_region, var_key) + ds_ref_region = _unify_plev(ds_ref_region, var_key) + + # Dictionaries to store information on the variable including the name, + # the averaged variable, and metrics. + test_dict: MetricsDict = {} # type: ignore + ref_dict: MetricsDict = {} # type: ignore + + # Diagnostic 1: average over longitude & latitude to produce time-height + # array of u field. + test_dict["qbo"] = _spatial_avg(ds_test_region, var_key) + ref_dict["qbo"] = _spatial_avg(ds_ref_region, var_key) + + # Diagnostic 2: calculate and plot the amplitude of wind variations with a 20-40 month period + test_dict["psd_sum"], test_dict["amplitude"] = _get_20to40month_fft_amplitude( + test_dict["qbo"] + ) + ref_dict["psd_sum"], ref_dict["amplitude"] = _get_20to40month_fft_amplitude( + ref_dict["qbo"] + ) + + # Diagnostic 3: calculate the Power Spectral Density. + # Pre-process data to average over lat,lon,height + x_test = _get_power_spectral_density(test_dict["qbo"]) + x_ref = _get_power_spectral_density(ref_dict["qbo"]) + + # Calculate the PSD and interpolate to period_new. Specify periods to + # plot. + test_dict["period_new"] = ref_dict["period_new"] = np.concatenate( + (np.arange(2.0, 33.0), np.arange(34.0, 100.0, 2.0)), axis=0 + ) + test_dict["psd_x_new"], test_dict["amplitude_new"] = _get_psd_from_deseason( + x_test, test_dict["period_new"] + ) + ref_dict["psd_x_new"], ref_dict["amplitude_new"] = _get_psd_from_deseason( + x_ref, ref_dict["period_new"] + ) + + parameter.var_id = var_key + parameter.output_file = "qbo_diags" + parameter.main_title = ( + f"QBO index, amplitude, and power spectral density for {var_key}" + ) + # Get the years of the data. + parameter.viewer_descr[var_key] = parameter.main_title + + parameter.test_yrs = f"{test_ds.start_yr}-{test_ds.end_yr}" + parameter.ref_yrs = f"{ref_ds.start_yr}-{ref_ds.end_yr}" + + # Write the averaged variables to netCDF. Save with data type as + # `qbo_test` and `qbo_ref` to match CDAT codebase for regression + # testing of the `.nc` files. + _write_to_netcdf(parameter, test_dict["qbo"], var_key, "qbo_test") # type: ignore + _write_to_netcdf(parameter, ref_dict["qbo"], var_key, "qbo_ref") # type: ignore + + # Write the metrics to .json files. + test_dict["name"] = test_ds._get_test_name() + + try: + ref_dict["name"] = ref_ds._get_ref_name() + except AttributeError: + ref_dict["name"] = parameter.ref_name + + _save_metrics_to_json(parameter, test_dict, "test") # type: ignore + _save_metrics_to_json(parameter, ref_dict, "ref") # type: ignore + + # plot the results. + plot(parameter, test_dict, ref_dict) + + return parameter + + +def _save_metrics_to_json( + parameter: CoreParameter, + var_dict: Dict[str, str | np.ndarray], + dict_type: Literal["test", "ref"], +): + output_dir = _get_output_dir(parameter) + filename = parameter.output_file + f"_{dict_type}.json" + abs_path = os.path.join(output_dir, filename) + + # Convert all metrics from `np.ndarray` to a Python list for serialization + # to `.json`. + metrics_dict = {k: v for k, v in var_dict.items() if k != "qbo"} + + for key in metrics_dict.keys(): + if key != "name": + metrics_dict[key] = metrics_dict[key].tolist() # type: ignore + + with open(abs_path, "w") as outfile: + json.dump(metrics_dict, outfile) + + logger.info("Metrics saved in: {}".format(abs_path)) + + +def _unify_plev(ds_region: xr.Dataset, var_key: str) -> xr.Dataset: + """Convert the Z-axis (plev) with units Pa to hPa. + + This function also orders the data by plev in ascending order (same as model + data). + + Parameters + ---------- + ds_region : xr.Dataset + The dataset for the region. + + Returns + ------- + xr.Dataset + The dataset for the region with a converted Z-axis. """ - var_plv = var.getLevel() - if var_plv.units == "Pa": - var_plv[:] = var_plv[:] / 100.0 # convert Pa to mb - var_plv.units = "hPa" - var.setAxis(1, var_plv) + ds_region_new = ds_region.copy() + # The dataset can have multiple Z axes (e.g., "lev", "ilev"), so get the + # Z axis from the variable directly. + z_axis = xc.get_dim_coords(ds_region[var_key], axis="Z") + z_dim = z_axis.name - # Make plev in ascending order - if var.getLevel()[0] > var.getLevel()[-1]: - var = var(lev=slice(-1, None, -1)) + if z_axis.attrs["units"] == "Pa": + ds_region_new[z_dim] = z_axis / 100.0 + ds_region_new[z_dim].attrs["units"] = "hPa" + ds_region_new = ds_region_new.sortby(z_dim, ascending=True) -def process_u_for_time_height(data_region): - # Average over longitude (i.e., each latitude's average in data_region) - data_lon_average = cdutil.averager(data_region, axis="x") - # Average over latitude (i.e., average for entire data_region) - data_lon_lat_average = cdutil.averager(data_lon_average, axis="y") - # Get data by vertical level - level_data = data_lon_lat_average.getAxis(1) - return data_lon_lat_average, level_data + return ds_region_new -def deseason(xraw): - # Calculates the deseasonalized data - months_per_year = 12 - # Create array to hold climatological values and deseasonalized data - # Create months_per_year x 1 array of zeros - xclim = np.zeros((months_per_year, 1)) - # Create array with same shape as xraw - x_deseasoned = np.zeros(xraw.shape) - # Iterate through all 12 months. - for month in np.arange(months_per_year): - # `xraw[month::12]` will return the data for this month every year (12 months) - # (i.e., from month until the end of xraw, get every 12th month) - # Get the mean of this month, using data from every year, ignoring NaNs - xclim[month] = np.nanmean(xraw[month::months_per_year]) - num_years = int(np.floor(len(x_deseasoned) / months_per_year)) - # Iterate through all years in x_deseasoned (same number as in xraw) - for year in np.arange(num_years): - year_index = year * months_per_year - # Iterate through all months of the year - for month in np.arange(months_per_year): - month_index = year_index + month - # Subtract the month's mean over num_years from xraw's data for this month in this year - # i.e., get the difference between this month's value and it's "usual" value - x_deseasoned[month_index] = xraw[month_index] - xclim[month] - return x_deseasoned +def _spatial_avg(ds: xr.Dataset, var_key: str) -> xr.DataArray: + """Process the U variable for time and height by averaging of lat and lon. + + Diagnostic 1: average over longitude & latitude to produce time-height + array of u field. + Richter, J. H., Chen, C. C., Tang, Q., Xie, S., & Rasch, P. J. (2019). + Improved Simulation of the QBO in E3SMv1. Journal of Advances in Modeling + Earth Systems, 11(11), 3403-3418. -def get_20to40month_fft_amplitude(qboN, levelN): - # Calculates the amplitude of wind variations in the 20 - 40 month period + U = "Monthly mean zonal mean zonal wind averaged between 5S and 5N as a + function of pressure and time" (p. 3406) + + Source: https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019MS001763 + + Parameters + ---------- + ds_region : xr.Dataset + The dataset. + var_key : str + The key of the variable. + + Returns + ------- + xr.DataArray + The averaged variable. + """ + var_avg = spatial_avg(ds, var_key, axis=["X", "Y"], as_list=False) + + return var_avg # type: ignore + + +def _get_20to40month_fft_amplitude( + var_avg: xr.DataArray, +) -> Tuple[np.ndarray, np.ndarray]: + """Calculates the amplitude of wind variations in the 20 - 40 month period. + + Parameters + ---------- + var_avg : xr.DataArray + The spatially averaged variable. + + Returns + ------- + Tuple[np.ndarray, np.ndarray] + The psd and amplitude arrays. + """ + qboN_arr = np.squeeze(var_avg.values) + + levelN = xc.get_dim_coords(var_avg, axis="Z") psd_sumN = np.zeros(levelN.shape) amplitudeN = np.zeros(levelN.shape) for ilev in np.arange(len(levelN)): - # `qboN[:, ilev]` returns the entire 0th dimension for ilev in the 1st dimension of the array. - y_input = deseason(np.squeeze(qboN[:, ilev])) + # `qboN[:, ilev]` returns the entire 0th dimension for ilev in the 1st + # dimension of the array. + y_input = deseason(np.squeeze(qboN_arr[:, ilev])) y = scipy.fftpack.fft(y_input) n = len(y) + frequency = np.arange(n / 2) / n period = 1 / frequency values = y[0 : int(np.floor(n / 2))] fyy = values * np.conj(values) - # Choose the range 20 - 40 months that captures most QBOs (in nature) + + # Choose the range 20 - 40 months that captures most QBOs (in nature). psd_sumN[ilev] = 2 * np.nansum(fyy[(period <= 40) & (period >= 20)]) amplitudeN[ilev] = np.sqrt(2 * psd_sumN[ilev]) * (frequency[1] - frequency[0]) + return psd_sumN, amplitudeN -def process_u_for_power_spectral_density(data_region): +def _get_power_spectral_density(var_avg: xr.DataArray): # Average over vertical levels and horizontal area (units: hPa) level_bottom = 22 level_top = 18 - # Average over lat and lon - data_lat_lon_average = cdutil.averager(data_region, axis="xy") + + z_dim = xc.get_dim_keys(var_avg, axis="Z") # Average over vertical try: - average = data_lat_lon_average(level=(level_top, level_bottom)) + average = var_avg.sel({z_dim: slice(level_top, level_bottom)}) except Exception: raise Exception( "No levels found between {}hPa and {}hPa".format(level_top, level_bottom) ) - x0 = np.nanmean(np.array(average), axis=1) + + x0 = np.nanmean(average.values, axis=1) + # x0 should now be 1D return x0 @@ -122,7 +281,7 @@ def ceil_log2(x): return np.ceil(np.log2(x)).astype("int") -def get_psd_from_deseason(xraw, period_new): +def _get_psd_from_deseason(xraw, period_new): x_deseasoned = deseason(xraw) # Sampling frequency: assumes frequency of sampling = 1 month @@ -143,6 +302,7 @@ def get_psd_from_deseason(xraw, period_new): amplitude0 = 2 * abs(x0[0 : int(NFFT0 / 2 + 1)]) # Calculate power spectral density as a function of frequency psd_x0 = amplitude0**2 / L0 + # Total spectral power # In the next code block, we will perform an interpolation using the period # (interpolating values of amplitude0_flipped and psd_x0_flipped from period0_flipped to period_new). @@ -156,170 +316,32 @@ def get_psd_from_deseason(xraw, period_new): period_new, period0_flipped[:-1], amplitude0_flipped[:-1] ) psd_x_new0 = np.interp(period_new, period0_flipped[:-1], psd_x0_flipped[:-1]) - return psd_x_new0, amplitude_new0 + return psd_x_new0, amplitude_new0 -def get_psd_from_wavelet(data): - """ - Return power spectral density using a complex Morlet wavelet spectrum of degree 6 - """ - deg = 6 - period = np.arange(1, 55 + 1) - freq = 1 / period - widths = deg / (2 * np.pi * freq) - cwtmatr = scipy.signal.cwt(data, scipy.signal.morlet2, widths=widths, w=deg) - psd = np.mean(np.square(np.abs(cwtmatr)), axis=1) - return (period, psd) - - -def run_diag(parameter: QboParameter) -> QboParameter: - variables = parameter.variables - # The region will always be 5S5N - region = "5S5N" - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - # Get the years of the data. - parameter.test_yrs = utils.general.get_yrs(test_data) - parameter.ref_yrs = utils.general.get_yrs(ref_data) - for variable in variables: - if parameter.print_statements: - logger.info("Variable={}".format(variable)) - test_var = test_data.get_timeseries_variable(variable) - ref_var = ref_data.get_timeseries_variable(variable) - qbo_region = default_regions.regions_specs[region]["domain"] # type: ignore - - test_region = test_var(qbo_region) - ref_region = ref_var(qbo_region) - - # Convert plevs of test and ref for unified units and direction - unify_plev(test_region) - unify_plev(ref_region) - - test = {} - ref = {} - - # Diagnostic 1: average over longitude & latitude to produce time-height array of u field: - # Richter, J. H., Chen, C. C., Tang, Q., Xie, S., & Rasch, P. J. (2019). Improved Simulation of the QBO in E3SMv1. Journal of Advances in Modeling Earth Systems, 11(11), 3403-3418. - # https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2019MS001763 - # U = "Monthly mean zonal mean zonal wind averaged between 5S and 5N as a function of pressure and time" (p. 3406) - test["qbo"], test["level"] = process_u_for_time_height(test_region) - ref["qbo"], ref["level"] = process_u_for_time_height(ref_region) - - # Diagnostic 2: calculate and plot the amplitude of wind variations with a 20-40 month period - test["psd_sum"], test["amplitude"] = get_20to40month_fft_amplitude( - np.squeeze(np.array(test["qbo"])), test["level"] - ) - ref["psd_sum"], ref["amplitude"] = get_20to40month_fft_amplitude( - np.squeeze(np.array(ref["qbo"])), ref["level"] - ) - - # Diagnostic 3: calculate the Power Spectral Density - # Pre-process data to average over lat,lon,height - x_test = process_u_for_power_spectral_density(test_region) - x_ref = process_u_for_power_spectral_density(ref_region) - # Calculate the PSD and interpolate to period_new. Specify periods to plot - period_new = np.concatenate( - (np.arange(2.0, 33.0), np.arange(34.0, 100.0, 2.0)), axis=0 - ) - test["psd_x_new"], test["amplitude_new"] = get_psd_from_deseason( - x_test, period_new - ) - test["period_new"] = period_new - ref["psd_x_new"], ref["amplitude_new"] = get_psd_from_deseason( - x_ref, period_new - ) - ref["period_new"] = period_new - - # Diagnostic 4: calculate the Wavelet - # Target vertical level - pow_spec_lev = 20.0 - - # Find the closest value for power spectral level in the list - # List of test case vertical levels - test_lev_list = list(test["level"]) - closest_lev = min(test_lev_list, key=lambda x: abs(x - pow_spec_lev)) - closest_index = test_lev_list.index(closest_lev) - # Grab target vertical level - test_data_avg = test["qbo"][:, closest_index] - - # List of reference case vertical levels - ref_lev_list = list(ref["level"]) - # Find the closest value for power spectral level in the list - closest_lev = min(ref_lev_list, key=lambda x: abs(x - pow_spec_lev)) - closest_index = ref_lev_list.index(closest_lev) - # Grab target vertical level - ref_data_avg = ref["qbo"][:, closest_index] - - # convert to anomalies - test_data_avg = test_data_avg - test_data_avg.mean() - ref_data_avg = ref_data_avg - ref_data_avg.mean() - - # Detrend the data - test_detrended_data = detrend(test_data_avg) - ref_detrended_data = detrend(ref_data_avg) - - test["wave_period"], test_wavelet = get_psd_from_wavelet(test_detrended_data) - ref["wave_period"], ref_wavelet = get_psd_from_wavelet(ref_detrended_data) - - # Get square root values of wavelet spectra - test["wavelet"] = np.sqrt(test_wavelet) - ref["wavelet"] = np.sqrt(ref_wavelet) - - parameter.var_id = variable - parameter.main_title = ( - "QBO index, amplitude, and power spectral density for {}".format(variable) - ) - parameter.viewer_descr[variable] = parameter.main_title - - test["name"] = utils.general.get_name(parameter, test_data) - ref["name"] = utils.general.get_name(parameter, ref_data) - - test_nc = {} - ref_nc = {} - for key in ["qbo", "level"]: - test_nc[key] = test[key] - ref_nc[key] = ref[key] - - test_json = {} - ref_json = {} - for key in test.keys(): - if key == "name": - test_json[key] = test[key] - ref_json[key] = ref[key] - elif key == "qbo": - continue - else: - test_json[key] = list(test[key]) - ref_json[key] = list(ref[key]) - - parameter.output_file = "qbo_diags" - # TODO: Check the below works properly by using ncdump on Cori - utils.general.save_transient_variables_to_netcdf( - parameter.current_set, test_nc, "test", parameter - ) - utils.general.save_transient_variables_to_netcdf( - parameter.current_set, ref_nc, "ref", parameter - ) - - # Saving the other data as json. - for dict_type in ["test", "ref"]: - json_output_file_name = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + "_{}.json".format(dict_type), - ) - with open(json_output_file_name, "w") as outfile: - if dict_type == "test": - json_dict = test_json - else: - json_dict = ref_json - json.dump(json_dict, outfile, default=str) - # Get the file name that the user has passed in and display that. - json_output_file_name = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + "_{}.json".format(dict_type), - ) - logger.info("Metrics saved in: {}".format(json_output_file_name)) - - plot(parameter, test, ref) - return parameter +def deseason(xraw): + # Calculates the deseasonalized data + months_per_year = 12 + # Create array to hold climatological values and deseasonalized data + # Create months_per_year x 1 array of zeros + xclim = np.zeros((months_per_year, 1)) + # Create array with same shape as xraw + x_deseasoned = np.zeros(xraw.shape) + # Iterate through all 12 months. + for month in np.arange(months_per_year): + # `xraw[month::12]` will return the data for this month every year (12 months) + # (i.e., from month until the end of xraw, get every 12th month) + # Get the mean of this month, using data from every year, ignoring NaNs + xclim[month] = np.nanmean(xraw[month::months_per_year]) + num_years = int(np.floor(len(x_deseasoned) / months_per_year)) + # Iterate through all years in x_deseasoned (same number as in xraw) + for year in np.arange(num_years): + year_index = year * months_per_year + # Iterate through all months of the year + for month in np.arange(months_per_year): + month_index = year_index + month + # Subtract the month's mean over num_years from xraw's data for this month in this year + # i.e., get the difference between this month's value and it's "usual" value + x_deseasoned[month_index] = xraw[month_index] - xclim[month] + return x_deseasoned diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 0e42a177a..86a30c0a1 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -31,6 +31,7 @@ ) from e3sm_diags.driver import LAND_FRAC_KEY, LAND_OCEAN_MASK_PATH, OCEAN_FRAC_KEY from e3sm_diags.driver.utils.climo_xr import CLIMO_FREQS, ClimoFreq, climo +from e3sm_diags.driver.utils.regrid import HYBRID_SIGMA_KEYS from e3sm_diags.logger import custom_logger if TYPE_CHECKING: @@ -269,8 +270,6 @@ def _get_ref_name(self) -> str: "reference datasets." ) - return self.parameter.ref_name - def _get_global_attr_from_climo_dataset( self, attr: str, season: ClimoFreq ) -> str | None: @@ -440,23 +439,7 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: ) ds = squeeze_time_dim(ds) - - # slat and slon are lat lon pair for staggered FV grid included in - # remapped files. - if "slat" in ds.dims: - ds = ds.drop_dims(["slat", "slon"]) - - all_vars = list(ds.data_vars.keys()) - keep_bnds = [var for var in all_vars if "bnd" in var or "bounds" in var] - ds = ds[[self.var] + keep_bnds] - - # NOTE: There seems to be an issue with `open_mfdataset()` and - # using the multiprocessing scheduler defined in e3sm_diags, - # resulting in timeouts and resource locking. - # To avoid this, we load the multi-file dataset into memory before - # performing downstream operations. - # Related GH issue: https://github.com/pydata/xarray/issues/3781 - ds.load(scheduler="sync") + ds = self._subset_vars_and_load(ds) return ds @@ -792,6 +775,45 @@ def _get_matching_climo_src_vars( return None + def _subset_vars_and_load(self, ds: xr.Dataset) -> xr.Dataset: + """Subset for variables needed for processing and load into memory. + + Subsetting the dataset reduces its memory footprint. Loading is + necessary because there seems to be an issue with `open_mfdataset()` + and using the multiprocessing scheduler defined in e3sm_diags, + resulting in timeouts and resource locking. To avoid this, we load the + multi-file dataset into memory before performing downstream operations. + + Source: https://github.com/pydata/xarray/issues/3781 + + Parameters + ---------- + ds : xr.Dataset + The dataset. + + Returns + ------- + xr.Dataset + The dataset subsetted and loaded into memory. + """ + # slat and slon are lat lon pair for staggered FV grid included in + # remapped files. + if "slat" in ds.dims: + ds = ds.drop_dims(["slat", "slon"]) + + all_vars_keys = list(ds.data_vars.keys()) + hybrid_var_keys = set(list(sum(HYBRID_SIGMA_KEYS.values(), ()))) + keep_vars = [ + var + for var in all_vars_keys + if "bnd" in var or "bounds" in var or var in hybrid_var_keys + ] + ds = ds[[self.var] + keep_vars] + + ds.load(scheduler="sync") + + return ds + # -------------------------------------------------------------------------- # Time series related methods # -------------------------------------------------------------------------- diff --git a/e3sm_diags/parameter/core_parameter.py b/e3sm_diags/parameter/core_parameter.py index 7b876b3bf..5351a9cb5 100644 --- a/e3sm_diags/parameter/core_parameter.py +++ b/e3sm_diags/parameter/core_parameter.py @@ -277,7 +277,9 @@ def _set_param_output_attrs( self.output_file = output_file self.main_title = main_title - def _set_name_yrs_attrs(self, ds_test: Dataset, ds_ref: Dataset, season: ClimoFreq): + def _set_name_yrs_attrs( + self, ds_test: Dataset, ds_ref: Dataset, season: ClimoFreq | None + ): """Set the test_name_yrs and ref_name_yrs attributes. Parameters @@ -286,8 +288,8 @@ def _set_name_yrs_attrs(self, ds_test: Dataset, ds_ref: Dataset, season: ClimoFr The test dataset object used for setting ``self.test_name_yrs``. ds_ref : Dataset The ref dataset object used for setting ``self.ref_name_yrs``. - season : CLIMO_FREQ - The climatology frequency. + season : ClimoFreq | None + The optional climatology frequency. """ self.test_name_yrs = ds_test.get_name_yrs_attr(season) self.ref_name_yrs = ds_ref.get_name_yrs_attr(season) diff --git a/e3sm_diags/plot/qbo_plot.py b/e3sm_diags/plot/qbo_plot.py new file mode 100644 index 000000000..7847c42cb --- /dev/null +++ b/e3sm_diags/plot/qbo_plot.py @@ -0,0 +1,237 @@ +from __future__ import annotations + +from typing import List, Literal, TypedDict + +import matplotlib +import numpy as np +import xcdat as xc + +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.plot.utils import _save_plot + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +PANEL_CFG = [ + (0.075, 0.70, 0.6, 0.225), + (0.075, 0.425, 0.6, 0.225), + (0.725, 0.425, 0.2, 0.5), + (0.075, 0.075, 0.85, 0.275), +] + +LABEL_SIZE = 14 +CMAP = plt.cm.RdBu_r + + +class XAxis(TypedDict): + axis_range: list[int] + axis_scale: Literal["linear"] + label: str + data: np.ndarray + data_label: str | None + data2: np.ndarray | None + data2_label: str | None + + +class YAxis(TypedDict): + axis_range: list[int] + axis_scale: Literal["linear", "log"] + label: str + data: np.ndarray + data_label: str | None + data2: np.ndarray | None + data2_label: str | None + + +class ZAxis(TypedDict): + data: np.ndarray + + +def plot(parameter: QboParameter, test_dict, ref_dict): + fig = plt.figure(figsize=(14, 14)) + + test_z_axis = xc.get_dim_coords(test_dict["qbo"], axis="Z") + ref_z_axis = xc.get_dim_coords(ref_dict["qbo"], axis="Z") + + months = np.minimum(ref_dict["qbo"].shape[0], test_dict["qbo"].shape[0]) + x_test, y_test = np.meshgrid(np.arange(0, months), test_z_axis) + x_ref, y_ref = np.meshgrid(np.arange(0, months), ref_z_axis) + + color_levels0 = np.arange(-50, 51, 100.0 / 20.0) + + # Panel 0 (Top Left) + x: XAxis = dict( + axis_range=[0, months], + axis_scale="linear", + label=" ", + data=x_test, + data_label=None, + data2=None, + data2_label=None, + ) + y: YAxis = dict( + axis_range=[100, 1], + axis_scale="log", + label="hPa", + data=y_test, + data_label=None, + data2=None, + data2_label=None, + ) + z: ZAxis = dict(data=test_dict["qbo"].T[:, :months]) + title = "{} U [{}] 5S-5N ({})".format(test_dict["name"], "m/s", parameter.test_yrs) + _add_color_map( + 0, + fig, + "contourf", + title, + x, + y, + z=z, + plot_colors=CMAP, + color_levels=color_levels0, + color_ticks=[-50, -25, -5, 5, 25, 50], + ) + + # Panel 1 (Middle Left) + x = dict( + axis_range=[0, months], + axis_scale="linear", + label="month", + data=x_ref, + data_label=None, + data2=None, + data2_label=None, + ) + y = dict( + axis_range=[100, 1], + axis_scale="log", + label="hPa", + data=y_ref, + data_label=None, + data2=None, + data2_label=None, + ) + z = dict(data=ref_dict["qbo"].T[:, :months]) + title = "{} U [{}] 5S-5N ({})".format(ref_dict["name"], "m/s", parameter.ref_yrs) + _add_color_map( + 1, + fig, + "contourf", + title, + x, + y, + z=z, + plot_colors=CMAP, + color_levels=color_levels0, + color_ticks=[-50, -25, -5, 5, 25, 50], + ) + + # Panel 2 (Top/Middle Right) + x = dict( + axis_range=[0, 30], + axis_scale="linear", + label="Amplitude (m/s)", + data=test_dict["amplitude"][:], + data_label=test_dict["name"], + data2=ref_dict["amplitude"][:], + data2_label=ref_dict["name"], + ) + y = dict( + axis_range=[100, 1], + axis_scale="log", + label="Pressure (hPa)", + data=test_z_axis[:], + data_label=None, + data2=ref_z_axis[:], + data2_label=None, + ) + title = "QBO Amplitude \n (period = 20-40 months)" + _add_color_map(2, fig, "line", title, x, y) + + # Panel 3 (Bottom) + x = dict( + axis_range=[0, 50], + axis_scale="linear", + label="Period (months)", + data=test_dict["period_new"], + data_label=test_dict["name"], + data2=ref_dict["period_new"], + data2_label=ref_dict["name"], + ) + y = dict( + axis_range=[-1, 25], + axis_scale="linear", + label="Amplitude (m/s)", + data=test_dict["amplitude_new"], + data_label=None, + data2=ref_dict["amplitude_new"], + data2_label=None, + ) + title = "QBO Spectral Density (Eq. 18-22 hPa zonal winds)" + _add_color_map(3, fig, "line", title, x, y) + + plt.tight_layout() + + # Figure title + fig.suptitle(parameter.main_title, x=0.5, y=0.97, fontsize=15) + + # Save figure + _save_plot(fig, parameter, PANEL_CFG) + + plt.close() + + +def _add_color_map( + subplot_num: int, + fig: plt.Figure, + plot_type: Literal["contourf", "line"], + title: str, + x: XAxis, + y: YAxis, + z: ZAxis | None = None, + plot_colors: plt.cm.ColormapRegistry | None = None, + color_levels: np.ndarray | None = None, + color_ticks: List[int] | None = None, +): + # x,y,z should be of the form: + # dict(axis_range=None, axis_scale=None, data=None, data_label=None, data2=None, data2_label=None, label=None) + + # Create new figure axis using dimensions from panel (hard coded) + ax = fig.add_axes(PANEL_CFG[subplot_num]) + # Plot either a contourf or line plot + if plot_type == "contourf": + if z is None: + raise RuntimeError(f"Must set `z` arg to use plot_type={plot_type}.") + + p1 = ax.contourf( + x["data"], y["data"], z["data"], color_levels, cmap=plot_colors + ) + cbar = plt.colorbar(p1, ticks=color_ticks) + cbar.ax.tick_params(labelsize=LABEL_SIZE) + + if plot_type == "line": + (p1,) = ax.plot(x["data"], y["data"], "-ok") + (p2,) = ax.plot(x["data2"], y["data2"], "--or") + + plt.grid("on") + ax.legend( + (p1, p2), + (x["data_label"], x["data2_label"]), + loc="upper right", + fontsize=LABEL_SIZE, + ) + + ax.set_title(title, size=LABEL_SIZE, weight="demi") + ax.set_xlabel(x["label"], size=LABEL_SIZE) + ax.set_ylabel(y["label"], size=LABEL_SIZE) + + plt.yscale(y["axis_scale"]) + plt.ylim([y["axis_range"][0], y["axis_range"][1]]) + plt.yticks(size=LABEL_SIZE) + plt.xscale(x["axis_scale"]) + plt.xlim([x["axis_range"][0], x["axis_range"][1]]) + plt.xticks(size=LABEL_SIZE) diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 79371f18e..a329fef80 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -766,6 +766,7 @@ def test_returns_climo_dataset_with_derived_variable(self): expected = expected.squeeze(dim="time").drop_vars("time") expected["PRECT"] = expected["pr"] * 3600 * 24 expected["PRECT"].attrs["units"] = "mm/day" + expected = expected.drop_vars("pr") xr.testing.assert_identical(result, expected) @@ -924,6 +925,7 @@ def test_returns_climo_dataset_using_source_variable_with_wildcard(self): result = ds.get_climo_dataset("bc_DDF", season="ANN") expected = ds_precst.squeeze(dim="time").drop_vars("time") expected["bc_DDF"] = expected["bc_a?DDF"] + expected["bc_c?DDF"] + expected = expected.drop_vars(["bc_a?DDF", "bc_c?DDF"]) xr.testing.assert_identical(result, expected) @@ -1502,6 +1504,7 @@ def test_returns_land_sea_mask_if_matching_vars_in_dataset(self): result = ds._get_land_sea_mask("ANN") expected = ds_climo.copy() expected = expected.squeeze(dim="time").drop_vars("time") + expected = expected.drop_vars("ts") xr.testing.assert_identical(result, expected) From 028a20b11f80992ebed9cd206cb5081097e82a98 Mon Sep 17 00:00:00 2001 From: Jill Chengzhu Zhang Date: Mon, 19 Aug 2024 16:14:06 -0700 Subject: [PATCH 22/41] CDAT Migration Phase 2: Refactor tc_analysis set (#829) * start tc_analysis_refactor * update driver * update plotting * Clean up plotter - Remove unused variables - Make `plot_info` a constant called `PLOT_INFO`, which is now a dict of dicts - Reorder functions for top-down readability * Remove unused notebook --------- Co-authored-by: tomvothecoder --- .../668-tc_analysis_run_script.py | 51 +++ auxiliary_tools/run_tc_analysis.py | 20 +- e3sm_diags/driver/tc_analysis_driver.py | 62 ++-- e3sm_diags/plot/tc_analysis_plot.py | 347 ++++++++++++++++++ 4 files changed, 446 insertions(+), 34 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/668-tc_analysis/668-tc_analysis_run_script.py create mode 100644 e3sm_diags/plot/tc_analysis_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/668-tc_analysis/668-tc_analysis_run_script.py b/auxiliary_tools/cdat_regression_testing/668-tc_analysis/668-tc_analysis_run_script.py new file mode 100644 index 000000000..e7358cd70 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/668-tc_analysis/668-tc_analysis_run_script.py @@ -0,0 +1,51 @@ +""" +The template run script used for generating results on your development branch. + +Steps: +1. Activate your conda dev env for your branch +2. `make install` to install the latest version of your branch code into the env +3. Copy this script into `auxiliary_tools/cdat_regression_testing/-` +4. Update `SET_DIR` string variable +5. Update `SET_NAME` string variable. + - Options include: "lat_lon", "zonal_mean_xy", "zonal_mean_2d", + "zonal_mean_2d_stratosphere", "polar", "cosp_histogram", + "meridional_mean_2d", "annual_cycle_zonal_mean", "enso_diags", "qbo", + "area_mean_time_series", "diurnal_cycle", "streamflow", "arm_diags", + "tc_analysis", "aerosol_aeronet", "aerosol_budget", "mp_partition", +6. Run this script as a Python module + - `auxiliary_tools` is not included in `setup.py`, so `-m` is required + to run the script as a Python module + - Command: python -m auxiliary_tools.cdat_regression_testing.-. + - Example: python -m auxiliary_tools.cdat_regression_testing.660_cosp_histogram.run_script +7. Run `chmod -R o=rx ` to allow public access to viewer outputs on the NERSC webserver + - Example: `chmod -R o=rx /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/654-zonal_mean_xy` + - https://portal.nersc.gov/project/e3sm/cdat-migration-fy24/ +8. Make a copy of the CDAT regression testing notebook in the same directory + as this script and follow the instructions there to start testing. +9. Update `CFG_PATH` to a custom cfg file to debug specific variables. + - It is useful to create a custom cfg based on the default diags to debug + specific variables that are running into problems. + - For example, copy `zonal_mean_xy_model_vs_model.cfg` into the same directory + as the copy of this script, then modify it to specific variables. Afterwards + update `CFG_PATH` to the path of that .cfg file. + - Tip: Use VS Code to step through the code with the Python debugger. +""" +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +# TODO: Update SETS_TO_RUN to the single set you are refactoring. +# Example: "lat_lon" +SET_NAME = "tc_analysis" +# TODO: Update SET_DIR to . This string gets appended +# to the base results_dir, "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/". +# Example: "671-lat-lon" +SET_DIR = "688-tc_analysis" + +# TODO: UPDATE CFG_PATH if using a custom cfg file for debugging. +# Example: "auxiliary_tools/cdat_regression_testing/654_zonal_mean_xy.cfg" +CFG_PATH: str | None = None + +# TODO: Update MULTIPROCESSING based on whether to run in parallel or +# serial. For debugging purposes, set to False to run serially. +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/run_tc_analysis.py b/auxiliary_tools/run_tc_analysis.py index 06503e123..0fc344c9b 100644 --- a/auxiliary_tools/run_tc_analysis.py +++ b/auxiliary_tools/run_tc_analysis.py @@ -3,24 +3,26 @@ from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter from e3sm_diags.run import runner -simulations = ['tc-v2.LR.amip.2000_2014'] -sim_names = ['v2.LR.amip_0101'] +simulations = ["tc-v2.LR.amip.2000_2014"] +sim_names = ["v2.LR.amip_0101"] -data_path = '/global/homes/c/chengzhu/tests/tc_analysis/' +data_path = "/global/homes/c/chengzhu/tests/tc_analysis/" for idx, sim in enumerate(simulations): print(sim) param = CoreParameter() - param.test_data_path = data_path+sim + param.test_data_path = data_path + sim param.test_name = sim_names[idx] param.test_start_yr = "2000" param.test_end_yr = "2014" - param.reference_data_path = '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/tc-analysis' - param.ref_start_yr = '1979' - param.ref_end_yr = '2018' + param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/tc-analysis" + ) + param.ref_start_yr = "1979" + param.ref_end_yr = "2018" - prefix = f'/global/cfs/cdirs/e3sm/www/chengzhu/tc_analysis_test/' + prefix = f"/global/cfs/cdirs/e3sm/www/chengzhu/tc_analysis_test/" param.results_dir = os.path.join(prefix, sim) - runner.sets_to_run = ['tc_analysis'] + runner.sets_to_run = ["tc_analysis"] runner.run_diags([param]) diff --git a/e3sm_diags/driver/tc_analysis_driver.py b/e3sm_diags/driver/tc_analysis_driver.py index f5e1535e6..d696796fd 100644 --- a/e3sm_diags/driver/tc_analysis_driver.py +++ b/e3sm_diags/driver/tc_analysis_driver.py @@ -5,12 +5,12 @@ from datetime import datetime, timedelta from typing import TYPE_CHECKING, Any, Dict, List, Tuple -import cdms2 import numpy as np +import xarray as xr from netCDF4 import Dataset as netcdffile import e3sm_diags -from e3sm_diags.plot.cartopy import tc_analysis_plot +from e3sm_diags.plot import tc_analysis_plot if TYPE_CHECKING: from numpy.ma.core import MaskedArray @@ -74,21 +74,23 @@ def run_diag(parameter: TCAnalysisParameter) -> TCAnalysisParameter: test_data_path, "cyclones_hist_{}_{}_{}.nc".format(test_name, test_start_yr, test_end_yr), ) - test_cyclones_hist = cdms2.open(test_cyclones_file)( - "density", lat=(-60, 60, "ccb"), squeeze=1 - ) + test_cyclones_hist = xr.open_dataset(test_cyclones_file).sel(lat=slice(-60, 60))[ + "density" + ] test_aew_file = os.path.join( test_data_path, "aew_hist_{}_{}_{}.nc".format(test_name, test_start_yr, test_end_yr), ) - test_aew_hist = cdms2.open(test_aew_file)("density", squeeze=1) + test_aew_hist = xr.open_dataset(test_aew_file).sel( + lat=slice(0, 35), lon=slice(180, 360) + )["density"] test_data = collections.OrderedDict() ref_data = collections.OrderedDict() test_data["metrics"] = generate_tc_metrics_from_te_stitch_file(test_te_file) - test_data["cyclone_density"] = test_cyclones_hist - test_data["aew_density"] = test_aew_hist + test_data["cyclone_density"] = test_cyclones_hist # type: ignore + test_data["aew_density"] = test_aew_hist # type: ignore test_num_years = int(test_end_yr) - int(test_start_yr) + 1 test_data["aew_num_years"] = test_num_years # type: ignore test_data["cyclone_num_years"] = test_num_years # type: ignore @@ -108,15 +110,22 @@ def run_diag(parameter: TCAnalysisParameter) -> TCAnalysisParameter: reference_data_path, "cyclones_hist_{}_{}_{}.nc".format(ref_name, ref_start_yr, ref_end_yr), ) - ref_cyclones_hist = cdms2.open(ref_cyclones_file)("density", squeeze=1) + + ref_cyclones_hist = xr.open_dataset(ref_cyclones_file).sel(lat=slice(-60, 60))[ + "density" + ] + ref_aew_file = os.path.join( reference_data_path, "aew_hist_{}_{}_{}.nc".format(ref_name, ref_start_yr, ref_end_yr), ) - ref_aew_hist = cdms2.open(ref_aew_file)("density", squeeze=1) + # Note the refactor included subset that was missed in original implementation + ref_aew_hist = xr.open_dataset(ref_aew_file).sel( + lat=slice(0, 35), lon=slice(180, 360) + )["density"] ref_data["metrics"] = generate_tc_metrics_from_te_stitch_file(ref_te_file) - ref_data["cyclone_density"] = ref_cyclones_hist - ref_data["aew_density"] = ref_aew_hist + ref_data["cyclone_density"] = ref_cyclones_hist # type: ignore + ref_data["aew_density"] = ref_aew_hist # type: ignore ref_num_years = int(ref_end_yr) - int(ref_start_yr) + 1 ref_data["aew_num_years"] = ref_num_years # type: ignore ref_data["cyclone_num_years"] = ref_num_years # type: ignore @@ -128,15 +137,18 @@ def run_diag(parameter: TCAnalysisParameter) -> TCAnalysisParameter: ref_cyclones_file = os.path.join( reference_data_path, "cyclones_hist_IBTrACS_1979_2018.nc" ) - ref_cyclones_hist = cdms2.open(ref_cyclones_file)( - "density", lat=(-60, 60, "ccb"), squeeze=1 - ) - ref_aew_file = os.path.join(reference_data_path, "aew_hist_ERA5_2010_2014.nc") - ref_aew_hist = cdms2.open(ref_aew_file)("density", squeeze=1) + ref_cyclones_hist = xr.open_dataset(ref_cyclones_file).sel(lat=slice(-60, 60))[ + "density" + ] - ref_data["cyclone_density"] = ref_cyclones_hist + ref_aew_file = os.path.join(reference_data_path, "aew_hist_ERA5_2010_2014.nc") + ref_aew_hist = xr.open_dataset(ref_aew_file).sel( + lat=slice(0, 35), lon=slice(180, 360) + )["density"] + ref_data["cyclone_density"] = ref_cyclones_hist # type: ignore ref_data["cyclone_num_years"] = 40 # type: ignore - ref_data["aew_density"] = ref_aew_hist + ref_data["aew_density"] = ref_aew_hist # type: ignore + # Question, should the num_years = 5? ref_data["aew_num_years"] = 1 # type: ignore parameter.ref_name = "Observation" parameter.ref_title = "Observation" @@ -197,7 +209,7 @@ def generate_tc_metrics_from_te_stitch_file(te_stitch_file: str) -> Dict[str, An # Use E3SM land-sea mask mask_path = os.path.join(e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc") - ocnfrac = cdms2.open(mask_path)("OCNFRAC", squeeze=1) + ocnfrac = xr.open_dataset(mask_path)["OCNFRAC"].squeeze(dim="time", drop=True) # From model data, this dict stores a tuple for each basin. # (mean ace, tc_intensity_dist, seasonal_cycle, # storms, # of storms over the ocean) @@ -291,7 +303,7 @@ def _get_vars_from_te_stitch( def _derive_metrics_per_basin( num_storms: int, vars: Dict[str, Any], - ocnfrac: cdms2.dataset.DatasetVariable, + ocnfrac: xr.DataArray, basin_info: BasinInfo, ) -> Dict[str, Any]: """Derives metrics for each basin using TE stitch variables and other information. @@ -300,8 +312,8 @@ def _derive_metrics_per_basin( :type num_storms: int :param vars: TE stitch variables :type vars: Dict[str, Any] - :param ocnfrac: Ocnfrac CDMS2 dataset variable - :type ocnfrac: cdms2.dataset.DatasetVariable + :param ocnfrac: Ocnfrac xarray dataarray variable + :type ocnfrac: xarray.DataArray :param basin_info: Basin information :type basin_info: BasinInfo :return: A dictionary containing mod variables @@ -340,9 +352,9 @@ def _derive_metrics_per_basin( yer = yearmc[:, k][~np.isnan(latmc[:, k])] # Get the nearest location on land-sea mask to the first point of a TC Track - p = np.abs(ocnfrac.getLatitude()[:] - lat[0]) + p = np.abs(ocnfrac.lat.values - lat[0]) loc_y = int(np.argmin(p)) - p = np.abs(ocnfrac.getLongitude()[:] - lon[0]) + p = np.abs(ocnfrac.lon.values - lon[0]) loc_x = int(np.argmin(p)) ocn_frac_0 = ocnfrac[loc_y, loc_x] diff --git a/e3sm_diags/plot/tc_analysis_plot.py b/e3sm_diags/plot/tc_analysis_plot.py new file mode 100644 index 000000000..39337a490 --- /dev/null +++ b/e3sm_diags/plot/tc_analysis_plot.py @@ -0,0 +1,347 @@ +import os + +import cartopy.crs as ccrs +import cartopy.feature as cfeature +import matplotlib +import numpy as np +import xcdat as xc +from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter + +from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.logger import custom_logger +from e3sm_diags.plot.utils import MAIN_TITLE_FONTSIZE + +matplotlib.use("agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + + +# Position and sizes of subplot axes in page coordinates (0 to 1) +PANEL_CFG = [ + (0.1691, 0.55, 0.6465, 0.2758), + (0.1691, 0.27, 0.6465, 0.2758), +] + + +# Each key gives a list with ax extent, x ticks , y ticks, title, clevs, reference and time resolution ratio (convert 3hrly to 6hrly data, density needs to be devided by 2) +# TODO flexible to apply to 3hrly model output when compare track density. +PLOT_INFO = { + "aew": { + "ax_extent": [182, 359, 0, 35], + "x_ticks": [240, 300], + "y_ticks": [0, 15, 30], + "title": "African Easterly Wave Density", + "clevs": np.arange(0, 15.1, 1), + "reference": "EAR5 (2000-2014)", + "time_resolution_ratio": 1, + }, + "cyclone": { + "ax_extent": [0, 359, -60, 60], + "x_ticks": [0, 60, 120, 180, 240, 300, 359.99], + "y_ticks": [-60, -30, 0, 30, 60], + "title": "TC Tracks Density", + "clevs": np.arange(0, 0.3, 0.05), + "reference": "IBTrACS (1979-2018)", + "time_resolution_ratio": 2, + }, +} + + +def plot(test, ref, parameter, basin_dict): + test_metrics = test["metrics"] + ref_metrics = ref["metrics"] + + test_num_year = test_metrics["num_years"] + ref_num_year = ref_metrics["num_years"] + + if parameter.short_test_name: + test_name = parameter.short_test_name + else: + test_name = parameter.test_name + ref_name = parameter.ref_name + + # TC intensity of each basins + fig, axes = plt.subplots(2, 3, figsize=(12, 7), sharex=True, sharey=True) + fig.subplots_adjust(hspace=0.4, wspace=0.15) + axes = axes.ravel() + + ace_ref = [] + ace_test = [] + num_ref = [] + num_test = [] + for ifig, (basin, basin_info) in enumerate(basin_dict.items()): + ace_ref.append(ref_metrics[basin][0]) + ace_test.append(test_metrics[basin][0]) + num_ref.append(ref_metrics[basin][3]) + num_test.append(test_metrics[basin][3]) + ax = axes[ifig] + ax.plot( + np.arange(1, 7), + test_metrics[basin][1] / test_num_year, + "--k", + linewidth=2, + label="Test", + ) + ax.plot( + np.arange(1, 7), + ref_metrics[basin][1] / ref_num_year, + "k", + linewidth=2, + label="Ref", + ) + ax.legend() + ax.set_title(basin_info[0]) + ax.set_ylabel("TCs per year") + plt.xticks([1, 2, 3, 4, 5, 6], ["Cat0", "Cat1", "Cat2", "Cat3", "Cat4", "Cat5"]) + ax.xaxis.set_tick_params(labelbottom=True) + + plt.suptitle( + "Test: {}".format(test_name) + "\n" + "Ref: {}".format(ref_name), + ha="left", + x=0.1, + y=0.99, + ) + + output_file_name = "tc-intensity" + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + output_file_name + "." + f, + ) + plt.savefig(fnm) + logger.info(f"Plot saved in: {fnm}") + plt.close() + + # TC frequency of each basins + fig = plt.figure(figsize=(12, 7)) + ax = fig.add_subplot(111) + + N = 6 + ind = np.arange(N) # the x locations for the groups + width = 0.27 + + ref_vals = num_ref / np.sum(num_ref) + rects2 = ax.bar(ind - width / 2, ref_vals, width, color="black") + test_vals = num_test / np.sum(num_test) + rects1 = ax.bar(ind + width / 2, test_vals, width, color="darkgrey") + logger.info("total number based on 6 basins") + + ax.set_xticks(ind) + ax.set_xticklabels( + ( + "North Atlantic", + "Northwest Pacific", + "Eastern Pacific", + "North Indian", + "South Indian", + "South Pacific", + ) + ) + + ax.legend( + (rects2[0], rects1[0]), + ( + "{}: (~{})storms per year".format(ref_name, int(np.sum(num_ref))), + "{}: (~{}) storms per year".format(test_name, int(np.sum(num_test))), + ), + ) + ax.set_ylabel("Fraction") + ax.set_title("Relative frequency of TCs for each ocean basins") + + output_file_name = "tc-frequency" + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + output_file_name + "." + f, + ) + plt.savefig(fnm) + logger.info(f"Plot saved in: {fnm}") + plt.close() + + fig1 = plt.figure(figsize=(12, 6)) + ax = fig1.add_subplot(111) + + N = 6 + ind = np.arange(N) # the x locations for the groups + width = 0.27 + + ref_vals = ace_ref / np.sum(ace_ref) + rects2 = ax.bar(ind - width / 2, ref_vals, width, color="black") + test_vals = ace_test / np.sum(ace_test) + rects1 = ax.bar(ind + width / 2, test_vals, width, color="darkgrey") + + ax.set_xticks(ind) + ax.set_xticklabels( + ( + "North Atlantic", + "Northwest Pacific", + "Eastern Pacific", + "North Indian", + "South Indian", + "South Pacific", + ) + ) + + ax.legend((rects2[0], rects1[0]), (ref_name, test_name)) + ax.set_ylabel("Fraction") + ax.set_title( + "Distribution of accumulated cyclone energy (ACE) among various ocean basins" + ) + output_file_name = "ace-distribution" + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + output_file_name + "." + f, + ) + plt.savefig(fnm) + logger.info(f"Plot saved in: {fnm}") + plt.close() + + fig, axes = plt.subplots(2, 3, figsize=(12, 6), sharex=True, sharey=True) + fig.subplots_adjust(hspace=0.4, wspace=0.15) + axes = axes.ravel() + + for ifig, (basin, basin_info) in enumerate(basin_dict.items()): + ax = axes[ifig] + ax.plot(np.arange(1, 13), ref_metrics[basin][2], "k", linewidth=2, label="Test") + ax.plot( + np.arange(1, 13), + test_metrics[basin][2], + "--k", + linewidth=2, + label="Ref", + ) + ax.legend() + ax.set_title(basin_info[0]) + ax.set_ylabel("Fraction") + plt.xticks( + [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], + ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"], + ) + ax.xaxis.set_tick_params(labelbottom=True) + + plt.suptitle( + "Test: {}".format(test_name) + "\n" + "Ref: {}".format(ref_name), + ha="left", + x=0.1, + y=0.99, + ) + + output_file_name = "tc-frequency-annual-cycle" + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + output_file_name + "." + f, + ) + plt.savefig(fnm) + logger.info(f"Plot saved in: {fnm}") + plt.close() + + ########################################################## + # Plot TC tracks density + plot_map(test, ref, "aew", parameter) + + # Plot AEW density + plot_map(test, ref, "cyclone", parameter) + + +def plot_map(test_data, ref_data, region, parameter): + """Create figure, projection for maps""" + + test = test_data["{}_density".format(region)] + test_num_years = test_data["{}_num_years".format(region)] + + ref = ref_data["{}_density".format(region)] + ref_num_years = ref_data["{}_num_years".format(region)] + + fig = plt.figure(figsize=(8.5, 8.5), dpi=parameter.dpi) + proj = ccrs.PlateCarree(central_longitude=180) + + # First panel + plot_panel( + 0, + fig, + proj, + test, + test_num_years, + region, + parameter.test_title, + ) + + # Second panel + plot_panel( + 1, + fig, + proj, + ref, + ref_num_years, + region, + parameter.ref_title, + ) + + # Figure title + fig.suptitle(PLOT_INFO[region]["title"], x=0.5, y=0.9, fontsize=14) + output_file_name = "{}-density-map".format(region) + + for f in parameter.output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + output_file_name + "." + f, + ) + plt.savefig(fnm) + logger.info(f"Plot saved in: {fnm}") + plt.close() + + +def plot_panel(n, fig, proj, var, var_num_years, region, title): + ax = fig.add_axes(PANEL_CFG[n], projection=proj) + ax.set_extent(PLOT_INFO[region]["ax_extent"], ccrs.PlateCarree()) + + clevs = PLOT_INFO[region]["clevs"] + + lat = xc.get_dim_coords(var, axis="Y") + lon = xc.get_dim_coords(var, axis="X") + + var = var.squeeze() + p1 = ax.contourf( + lon, + lat, + var / var_num_years / PLOT_INFO[region]["time_resolution_ratio"], + transform=ccrs.PlateCarree(), + levels=clevs, + extend="both", + cmap="jet", + ) + ax.coastlines(lw=0.3) + ax.add_feature(cfeature.LAND, zorder=100, edgecolor="k") + + if title != "Observation": + ax.set_title("{}".format(title), fontdict={"fontsize": MAIN_TITLE_FONTSIZE}) + else: + ax.set_title( + "{}".format(PLOT_INFO[region]["reference"]), + fontdict={"fontsize": MAIN_TITLE_FONTSIZE}, + ) + ax.set_xticks(PLOT_INFO[region]["x_ticks"], crs=ccrs.PlateCarree()) + ax.set_yticks(PLOT_INFO[region]["y_ticks"], crs=ccrs.PlateCarree()) + lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") + lat_formatter = LatitudeFormatter() + ax.xaxis.set_major_formatter(lon_formatter) + ax.yaxis.set_major_formatter(lat_formatter) + ax.tick_params(labelsize=8.0, direction="out", width=1) + ax.xaxis.set_ticks_position("bottom") + ax.yaxis.set_ticks_position("left") + + cbax = fig.add_axes( + (PANEL_CFG[n][0] + 0.6635, PANEL_CFG[n][1] + 0.0215, 0.0326, 0.1792) + ) + cbar = fig.colorbar(p1, cax=cbax) + + cbar.ax.tick_params(labelsize=9.0, length=0) + return From dda0bd8f8928d3dd71321a174b9a8e238ee6f697 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Thu, 22 Aug 2024 10:19:57 -0700 Subject: [PATCH 23/41] CDAT Migration Phase 2: Refactor `enso_diags` set (#832) --- .../regression-test-json.ipynb | 370 ++++ .../regression-test-netcdf.ipynb | 712 ++++++++ .../662-area-mean-time-series-rerun/run.cfg | 140 ++ .../run_script.py | 12 + .../663-enso-diags/qa.py | 64 + .../663-enso-diags/regression_test.ipynb | 1593 +++++++++++++++++ .../663-enso-diags/regression_test_png.ipynb | 339 ++++ .../663-enso-diags/run.cfg | 140 ++ .../663-enso-diags/run_script.py | 14 + e3sm_diags/driver/enso_diags_driver.py | 890 +++++---- e3sm_diags/driver/qbo_driver.py | 6 +- e3sm_diags/driver/utils/dataset_xr.py | 138 +- e3sm_diags/driver/utils/io.py | 42 +- e3sm_diags/plot/cartopy/enso_diags_plot.py | 463 ----- e3sm_diags/plot/enso_diags_plot.py | 379 ++++ e3sm_diags/plot/utils.py | 83 +- .../driver/utils/test_dataset_xr.py | 81 +- 17 files changed, 4507 insertions(+), 959 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-json.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/qa.py create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/663-enso-diags/run_script.py delete mode 100644 e3sm_diags/plot/cartopy/enso_diags_plot.py create mode 100644 e3sm_diags/plot/enso_diags_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-json.ipynb b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-json.ipynb new file mode 100644 index 000000000..cc27db393 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-json.ipynb @@ -0,0 +1,370 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.json` metrics)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between two sets of `.json` files in two\n", + "separate directories, one for the refactored code and the other for the `main` branch.\n", + "\n", + "It will display metrics values with relative differences >= 2%. Relative differences are used instead of absolute differences because:\n", + "\n", + "- Relative differences are in percentages, which shows the scale of the differences.\n", + "- Absolute differences are just a raw number that doesn't factor in\n", + " floating point size (e.g., 100.00 vs. 0.0001), which can be misleading.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's metrics stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `DEV_PATH` and `MAIN_PATH` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>= 2%).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "import pandas as pd\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import (\n", + " get_num_metrics_above_diff_thres,\n", + " get_rel_diffs,\n", + " update_diffs_to_pct,\n", + " highlight_large_diffs,\n", + ")\n", + "\n", + "SET_NAME = \"area_mean_time_series\"\n", + "SET_DIR = \"663-area-mean-time-series-rerun\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/{SET_NAME}/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.json\"))\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.json\"))\n", + "\n", + "if len(DEV_GLOB) == 0 or len(MAIN_GLOB) == 0:\n", + " raise IOError(\"No files found at DEV_PATH and/or MAIN_PATH.\")\n", + "\n", + "if len(DEV_GLOB) != len(MAIN_GLOB):\n", + " raise IOError(\"Number of files do not match at DEV_PATH and MAIN_PATH.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def get_metrics(filepaths: List[str]) -> pd.DataFrame:\n", + " \"\"\"Get the metrics using a glob of `.json` metric files in a directory.\n", + "\n", + " Parameters\n", + " ----------\n", + " filepaths : List[str]\n", + " The filepaths for metrics `.json` files.\n", + "\n", + " Returns\n", + " -------\n", + " pd.DataFrame\n", + " The DataFrame containing the metrics for all of the variables in\n", + " the results directory.\n", + " \"\"\"\n", + " metrics = []\n", + "\n", + " for filepath in filepaths:\n", + " df = pd.read_json(filepath)\n", + "\n", + " filename = filepath.split(\"/\")[-1]\n", + " var_key = filename.split(\"-\")[0]\n", + " region = filename.split(\"-\")[-1]\n", + "\n", + " # Add the variable key to the MultiIndex and update the index\n", + " # before stacking to make the DataFrame easier to parse.\n", + " multiindex = pd.MultiIndex.from_product([[var_key], [region], [*df.index]])\n", + " df = df.set_index(multiindex)\n", + " df.stack()\n", + "\n", + " metrics.append(df)\n", + "\n", + " df_final = pd.concat(metrics)\n", + "\n", + " return df_final" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "metrics = []\n", + "\n", + "for filepath in DEV_GLOB:\n", + " df = pd.read_json(filepath)\n", + "\n", + " filename = filepath.split(\"/\")[-1]\n", + " var_key = filename.split(\"-\")[0]\n", + "\n", + " # Add the variable key to the MultiIndex and update the index\n", + " # before stacking to make the DataFrame easier to parse.\n", + " multiindex = pd.MultiIndex.from_product([[var_key], [filename], [*df.index]])\n", + " df = df.set_index(multiindex)\n", + " df.stack()\n", + "\n", + " metrics.append(df)\n", + "\n", + "df_final = pd.concat(metrics)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Get the metrics for the development and `main` branches and their differences.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_dev = get_metrics(DEV_GLOB)\n", + "df_metrics_main = get_metrics(MAIN_GLOB)\n", + "df_metrics_diffs = get_rel_diffs(df_metrics_dev, df_metrics_main)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Filter differences to those above maximum threshold (2%).\n", + "\n", + "All values below maximum threshold will be labeled as `NaN`.\n", + "\n", + "- **If all cells in a row are NaN (< 2%)**, the entire row is dropped to make the results easier to parse.\n", + "- Any remaining NaN cells are below < 2% difference and **should be ignored**.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_diffs_thres = df_metrics_diffs[df_metrics_diffs >= 0.02]\n", + "df_metrics_diffs_thres = df_metrics_diffs_thres.dropna(\n", + " axis=0, how=\"all\", ignore_index=False\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Combine all DataFrames to get the final result.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "df_metrics_all = pd.concat(\n", + " [df_metrics_dev.add_suffix(\"_dev\"), df_metrics_main.add_suffix(\"_main\")],\n", + " axis=1,\n", + " join=\"outer\",\n", + ")\n", + "df_final = df_metrics_diffs_thres.join(df_metrics_all)\n", + "df_final = update_diffs_to_pct(df_final, [\"e3sm_v2 (0051-0060) DIFF (%)\"])" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    e3sm_v2 (0051-0060) DIFF (%)e3sm_v2 (0051-0060)_deve3sm_v2 (0051-0060)_main
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     var_keyregionmetrice3sm_v2 (0051-0060) DIFF (%)e3sm_v2 (0051-0060)_deve3sm_v2 (0051-0060)_main
    \n" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "highlight_large_diffs(df_final_adj, [\"e3sm_v2 (0051-0060) DIFF (%)\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "- 792 / 792 metrics are within diff tolerance\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-netcdf.ipynb new file mode 100644 index 000000000..11714aecf --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/regression-test-netcdf.ipynb @@ -0,0 +1,712 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "from typing import Tuple\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"area_mean_time_series\"\n", + "SET_DIR = \"663-area-mean-time-series-rerun\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-area-mean-time-series\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-area-mean-time-series\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main-area-mean-time-series\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (72 and 72).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20N50N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-20S20N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50N90N_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-50S20S_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-90S50S_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-global_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-land_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FLUT/FLUT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FLUT/FLUT-ocean_test.nc\n", + "var_key FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20N50N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-20S20N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50N90N_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-50S20S_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-90S50S_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-global_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-land_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/FSNTOA/FSNTOA-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/FSNTOA/FSNTOA-ocean_test.nc\n", + "var_key FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20N50N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-20S20N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50N90N_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-50S20S_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-90S50S_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-global_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-land_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LHFLX/LHFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LHFLX/LHFLX-ocean_test.nc\n", + "var_key LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20N50N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-20S20N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50N90N_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-50S20S_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-90S50S_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-global_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-land_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/LWCF/LWCF-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/LWCF/LWCF-ocean_test.nc\n", + "var_key LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20N50N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-20S20N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50N90N_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-50S20S_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-90S50S_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-global_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-land_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/PRECT/PRECT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/PRECT/PRECT-ocean_test.nc\n", + "var_key PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20N50N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-20S20N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50N90N_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-50S20S_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-90S50S_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-global_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-land_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/QFLX/QFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/QFLX/QFLX-ocean_test.nc\n", + "var_key QFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20N50N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-20S20N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50N90N_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-50S20S_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-90S50S_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-global_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-land_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SHFLX/SHFLX-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SHFLX/SHFLX-ocean_test.nc\n", + "var_key SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20N50N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-20S20N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50N90N_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-50S20S_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-90S50S_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-global_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-land_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/SWCF/SWCF-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/SWCF/SWCF-ocean_test.nc\n", + "var_key SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-20N50N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20N50N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-20S20N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-20S20N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-50N90N_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50N90N_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-50S20S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-50S20S_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-90S50S_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-90S50S_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-global_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-global_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-land_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-land_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun/area_mean_time_series/TREFHT/TREFHT-ocean_test.nc \n", + " /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-area-mean-time-series/area_mean_time_series/TREFHT/TREFHT-ocean_test.nc\n", + "var_key TREFHT\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "# We are mainly focusing on relative tolerance here (in percentage terms).\n", + "atol = 0\n", + "rtol = 1e-5\n", + "\n", + "count_mismatch = 0\n", + "\n", + "for filepath_dev in DEV_GLOB:\n", + " if \"test.nc\" in filepath_dev or \"ref.nc\" in filepath_dev:\n", + " filepath_main = filepath_dev.replace(SET_DIR, \"main-area-mean-time-series\")\n", + " print(\"Comparing:\")\n", + " print(filepath_dev, \"\\n\", filepath_main)\n", + " ds1 = xr.open_dataset(filepath_dev)\n", + " ds2 = xr.open_dataset(filepath_main)\n", + "\n", + " var_key = filepath_dev.split(\"/\")[-2]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = filepath_dev.split(\"-\")[-4]\n", + "\n", + " print(\"var_key\", var_key)\n", + " try:\n", + " np.testing.assert_allclose(\n", + " ds1[var_key].values,\n", + " ds2[var_key].values,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except AssertionError as e:\n", + " print(e)\n", + " count_mismatch += 1\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "count_mismatch" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All files are within rtol 1e-5, so the changes should be good to go.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run.cfg b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run.cfg new file mode 100644 index 000000000..85b50434c --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run.cfg @@ -0,0 +1,140 @@ +[#] +sets = ["enso_diags"] +case_id = "PRECT-response" +variables = ["PRECT"] +ref_name = "GPCP_v2.3" +reference_name = "GPCP_v2.3" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-5,-3,-2,-1,-0.5,-0.2,0.2,0.5,1,2,3,5] +diff_levels = [-5,-3,-2,-1,-0.5,-0.2,0.2,0.5,1,2,3,5] + + +[#] +sets = ["enso_diags"] +case_id = "TAUX-response" +variables = ["TAUX"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-0.1,-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005 ,0.01,0.02,0.05,0.1] +diff_levels = [-0.1,-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005, 0.01,0.02,0.05,0.1] + + +[#] +sets = ["enso_diags"] +case_id = "TAUY-response" +variables = ["TAUY"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005 ,0.01,0.02,0.05] +diff_levels = [-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005, 0.01,0.02,0.05] + +[#] +sets = ["enso_diags"] +case_id = "LHFLX-response" +variables = ["LHFLX"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] +diff_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] + + +[#] +sets = ["enso_diags"] +case_id = "SHFLX-response" +variables = ["SHFLX"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-15,-10,-5,-2.5,-1,-0.5,0.5,1,2.5, 5,10,15] +diff_levels = [-15,-10,-5,-2.5,-1,-0.5,0.5,1,2.5, 5,10,15] + +[#] +sets = ["enso_diags"] +case_id = "NET_FLUX_SRF-response" +variables = ["NET_FLUX_SRF"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] +diff_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] + +# [#] +# sets = ["enso_diags"] +# plot_type = "scatter" +# case_id = "TAUX-feedback" +# variables = ["TAUX"] +# seasons = ["ANN"] +# ref_name = "ERA-Interim" +# reference_name = "ERA-Interim" + +# [#] +# sets = ["enso_diags"] +# plot_type = "scatter" +# case_id = "LHFLX-feedback" +# variables = ["LHFLX"] +# seasons = ["ANN"] +# ref_name = "ERA-Interim" +# reference_name = "ERA-Interim" + +# [#] +# sets = ["enso_diags"] +# plot_type = "scatter" +# case_id = "SHFLX-feedback" +# variables = ["SHFLX"] +# seasons = ["ANN"] +# ref_name = "ERA-Interim" +# reference_name = "ERA-Interim" + +# [#] +# sets = ["enso_diags"] +# plot_type = "scatter" +# case_id = "FLNS-feedback" +# variables = ["FLNS"] +# seasons = ["ANN"] +# ref_name = "ERA-Interim" +# reference_name = "ERA-Interim" + +# [#] +# sets = ["enso_diags"] +# plot_type = "scatter" +# case_id = "FSNS-feedback" +# variables = ["FSNS"] +# seasons = ["ANN"] +# ref_name = "ERA-Interim" +# reference_name = "ERA-Interim" + +# [#] +# sets = ["enso_diags"] +# plot_type = "scatter" +# case_id = "NET_FLUX_SRF-feedback" +# variables = ["NET_FLUX_SRF"] +# seasons = ["ANN"] +# ref_name = "ERA-Interim" +# reference_name = "ERA-Interim" diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run_script.py b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run_script.py new file mode 100644 index 000000000..db7facf98 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run_script.py @@ -0,0 +1,12 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.663-enso-diags.662-area-mean-time-series-rerun.run_script +# chmod -R o=rx /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-area-mean-time-series-rerun +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "area_mean_time_series" +SET_DIR = "663-area-mean-time-series-rerun" +CFG_PATH: str | None = None +# CFG_PATH = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/663-enso-diags/662-area-mean-time-series-rerun/run.cfg" +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/qa.py b/auxiliary_tools/cdat_regression_testing/663-enso-diags/qa.py new file mode 100644 index 000000000..8992a8ad2 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/qa.py @@ -0,0 +1,64 @@ +def _subset_on_region(ds: xr.Dataset, region: str) -> xr.Dataset: + """Subset the dataset by the region 5S5N (latitude). + This function takes into account the CDAT subset flag, "ccb", which can + add new latitude coordinate points to the beginning and end. + Parameters + ---------- + ds : xr.Dataset + The dataset. + Returns + ------- + xr.Dataset + The dataset subsetted by the region. + """ + specs = REGION_SPECS[region] + lat_slice, lon_slice = specs.get("lat"), specs.get("lon") # type: ignore + + ds_new = ds.copy() + lat_dim_key = xc.get_dim_keys(ds, "Y") + lon_dim_key = xc.get_dim_keys(ds, "X") + + # 1. Subset on the region_slice + # slice = -5.0, 5.0 + slice_dict = {} + if lat_slice is not None: + slice_dict[lat_dim_key] = slice(*lat_slice) + if lon_slice is not None: + slice_dict[lon_dim_key] = slice(*lon_slice) + + ds_new = ds_new.sel(slice_dict) + + # 2. Add delta to first and last value + dim_bounds = ds_new.bounds.get_bounds(axis="Y") + + # delta = 1.0 / 2 = 0.5 + delta = (dim_bounds[0][1].item() - dim_bounds[0][0].item()) / 2 + delta_slice = (lat_slice[0] - delta, lat_slice[1] + delta) + + # 3. Check if latitude slice value exists in original latitude. + # If it exists already, then don't add the coordinate point. + # If it does not exist, add the coordinate point. + # delta = 0.5 + # delta slice = -5.5, 5.5 + ds_list = [ds_new] + + try: + ds.sel({lat_dim_key: delta_slice[0]}) + except KeyError: + ds_first_pt = ds_new.isel({lat_dim_key: 0}) + ds_first_pt[lat_dim_key] = ds_first_pt[lat_dim_key] - delta + + ds_list.append(ds_first_pt) + + try: + ds.sel({lat_dim_key: delta_slice[-1]}) + except KeyError: + ds_last_pt = ds_new.isel({lat_dim_key: -1}) + ds_last_pt[lat_dim_key] = ds_last_pt[lat_dim_key] + delta + + ds_list.append(ds_last_pt) + + ds_new = xr.concat(ds_list, dim=lat_dim_key, data_vars="minimal", coords="minimal") + ds_new = ds_new.sortby(lat_dim_key) + + return ds_new diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test.ipynb b/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test.ipynb new file mode 100644 index 000000000..c74f5b2b3 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test.ipynb @@ -0,0 +1,1593 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "SET_NAME = \"enso_diags\"\n", + "SET_DIR = \"663-enso-diags\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"enso-main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"enso-main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs() -> int:\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " mismatches = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"enso-main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " if \"regression\" in fp_main:\n", + " var_key = fp_main.split(\"/\")[-1].split(\"-\")[2].upper()\n", + " var_key_cdat = f\"{var_key}-regression-over-nino\"\n", + " elif \"feedback\" in fp_main:\n", + " var_key = fp_main.split(\"/\")[-1].split(\"-\")[1].upper()\n", + " var_key_cdat = f\"{var_key}-feedback\"\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = ds1[var_key].values\n", + " # main_data = ds2[var_key_cdat].values[1:-1]\n", + " main_data = ds2[var_key_cdat]\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " if \"mismatch\" in str(e):\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data[1:-1],\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " else:\n", + " print(f\" {e}\")\n", + " mismatches.append((fp_dev, fp_main))\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + " return mismatches" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc']" + ] + }, + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc']" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (30 and 30).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc\n", + " * var_key: FLNS\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.08201782\n", + "Max relative difference: 0.64689754\n", + " x: array([ 4.58544 , 2.485706, 3.111711, 0.767667, 1.648402, 3.223995,\n", + " 1.59968 , 0.373345, 1.550645, -0.038671, -1.088026, 0.199513,\n", + " -1.694707, 0.574215, -1.211548, -0.088548, 1.481813, 0.685491,...\n", + " y: array([ 4.576222, 2.494163, 3.120666, 0.74798 , 1.660498, 3.238505,\n", + " 1.615224, 0.385147, 1.570752, -0.061149, -1.084575, 0.19586 ,\n", + " -1.688319, 0.608236, -1.16629 , -0.060196, 1.414754, 0.636474,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc\n", + " * var_key: FSNS\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.43258972\n", + "Max relative difference: 2.16216355\n", + " x: array([ 1.213787e+01, 7.135695e+00, 3.147739e+00, 3.137359e+00,\n", + " 4.684971e+00, 6.356290e+00, 2.267159e+00, 3.013787e+00,\n", + " 3.547312e+00, 2.070424e-02, 3.573419e+00, 5.998464e+00,...\n", + " y: array([ 1.203760e+01, 7.208760e+00, 3.153898e+00, 3.050703e+00,\n", + " 4.708108e+00, 6.299110e+00, 2.339174e+00, 3.113597e+00,\n", + " 3.582495e+00, -1.781526e-02, 3.572107e+00, 6.033232e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc\n", + " * var_key: LHFLX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.31026925\n", + "Max relative difference: 1.4436187\n", + " x: array([-16.846834, -11.460476, -0.260557, -7.857147, -7.481644,\n", + " 2.495975, -2.459956, -6.000213, -7.531353, -4.563122,\n", + " -14.512969, -17.648658, -9.918952, -6.918592, -0.572116,...\n", + " y: array([-16.849978, -11.233628, -0.106627, -7.62422 , -7.419526,\n", + " 2.54498 , -2.387893, -6.147381, -7.456442, -4.568174,\n", + " -14.5197 , -17.660721, -10.14628 , -7.124798, -0.717113,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc\n", + " * var_key: LHFLX\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.57487474\n", + "Max relative difference: 0.44062548\n", + " x: array([ 24.986253, 16.954633, -0.294606, 11.19022 , 11.682311,\n", + " 1.17291 , 3.197588, 8.8063 , 9.345975, 4.506336,\n", + " 19.777237, 24.261501, 15.081716, 15.104376, -2.231025,...\n", + " y: array([ 24.890231, 16.794664, -0.473196, 10.855193, 11.617329,\n", + " 1.032505, 3.180212, 9.061564, 9.283075, 4.487035,\n", + " 19.787209, 24.335711, 15.280794, 15.390211, -1.65615 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc\n", + " * var_key: SHFLX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.04254491\n", + "Max relative difference: 1.57097275\n", + " x: array([-0.586986, -0.844167, 0.591191, -0.96338 , -1.164099, -0.536591,\n", + " -0.070152, -0.165644, 0.182045, 0.116161, -0.602823, -0.813892,\n", + " -0.385786, -0.996138, -0.915772, -1.011553, -0.57045 , 0.179156,...\n", + " y: array([-0.57887 , -0.846439, 0.613055, -0.928249, -1.150193, -0.516881,\n", + " -0.068369, -0.185733, 0.18511 , 0.124473, -0.610827, -0.83762 ,\n", + " -0.412688, -1.004824, -0.958317, -1.046433, -0.579117, 0.146234,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc\n", + " * var_key: SHFLX\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc\n", + " * var_key: TAUX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 119 / 120 (99.2%)\n", + "Max absolute difference: 0.41271604\n", + "Max relative difference: 0.66807887\n", + " x: array([ 18.272091, 11.067615, 7.282271, 2.0656 , -2.899694,\n", + " -5.542193, -7.454822, 1.728814, -8.768283, -0.205142,\n", + " -1.855827, -25.474358, -7.966977, -12.302557, -1.793213,...\n", + " y: array([ 18.509528, 11.142698, 7.307616, 2.121824, -2.963343,\n", + " -5.693791, -7.595321, 1.652784, -8.808141, -0.218935,\n", + " -1.951945, -25.624018, -8.032325, -12.401156, -1.821695,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc\n", + " * var_key: TAUX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc\n", + " * var_key: TAUX\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc\n", + " * var_key: TAUX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc\n", + " * var_key: TAUY\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc\n", + " * var_key: TAUY\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "mismatches = _get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "- For the CDAT regression netCDF files, we remove the extra start and end lat coordinates that are added via the `\"ccb\"` slice flag. This ensures arrays and results are aligned.\n", + "- For the feedback netCDF files, the two extra points results in what seems like a large differences in the anomalies.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc')]" + ] + }, + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mismatches" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [], + "source": [ + "ds1 = xr.open_dataset(mismatches[0][0])" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [], + "source": [ + "ds2 = xr.open_dataset(mismatches[0][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 2kB\n",
+       "Dimensions:  (time: 120)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12-16T12...\n",
+       "Data variables:\n",
+       "    FLNS     (time) float64 960B ...
    " + ], + "text/plain": [ + " Size: 2kB\n", + "Dimensions: (time: 120)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12-16T12...\n", + "Data variables:\n", + " FLNS (time) float64 960B ..." + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds1" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 4kB\n",
+       "Dimensions:        (time: 120, bound: 2)\n",
+       "Coordinates:\n",
+       "  * time           (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12...\n",
+       "Dimensions without coordinates: bound\n",
+       "Data variables:\n",
+       "    bounds_time    (time, bound) datetime64[ns] 2kB ...\n",
+       "    FLNS-feedback  (time) float64 960B 4.576 2.494 3.121 ... -5.735 -2.117 -3.35\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.0
    " + ], + "text/plain": [ + " Size: 4kB\n", + "Dimensions: (time: 120, bound: 2)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12...\n", + "Dimensions without coordinates: bound\n", + "Data variables:\n", + " bounds_time (time, bound) datetime64[ns] 2kB ...\n", + " FLNS-feedback (time) float64 960B 4.576 2.494 3.121 ... -5.735 -2.117 -3.35\n", + "Attributes:\n", + " Conventions: CF-1.0" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds2" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-0.2028542676624383 -0.202113868730045\n", + "-0.0016904522305203193 -0.0016842822394170416\n", + "-8.156214274999115 -8.103394765085596\n", + "4.585439916659517 4.5762217718118094\n", + "2.281253170375751 2.2717773078329726\n" + ] + } + ], + "source": [ + "print(ds1[\"FLNS\"].sum().item(), ds2[\"FLNS-feedback\"].sum().item())\n", + "print(ds1[\"FLNS\"].mean().item(), ds2[\"FLNS-feedback\"].mean().item())\n", + "print(ds1[\"FLNS\"].min().item(), ds2[\"FLNS-feedback\"].min().item())\n", + "print(ds1[\"FLNS\"].max().item(), ds2[\"FLNS-feedback\"].max().item())\n", + "print(ds1[\"FLNS\"].std().item(), ds2[\"FLNS-feedback\"].std().item())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb new file mode 100644 index 000000000..0e8635e5d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb @@ -0,0 +1,339 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"enso_diags\"\n", + "SET_DIR = \"663-enso-diags\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (24 vs. 12).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (24 vs. 12)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback_diff/feedback-FLNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback_diff/feedback-FSNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback_diff/feedback-LHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response_diff/regression-coefficient-lhflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback_diff/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response_diff/regression-coefficient-net_flux_srf-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response_diff/regression-coefficient-prect-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback_diff/feedback-SHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response_diff/regression-coefficient-shflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback_diff/feedback-TAUX-NINO4-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response_diff/regression-coefficient-taux-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response_diff/regression-coefficient-tauy-over-nino34.png']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FLNS-feedback_diff/feedback-FLNS-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/FSNS-feedback_diff/feedback-FSNS-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-feedback_diff/feedback-LHFLX-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/LHFLX-response_diff/regression-coefficient-lhflx-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-feedback_diff/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/NET_FLUX_SRF-response_diff/regression-coefficient-net_flux_srf-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/PRECT-response_diff/regression-coefficient-prect-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-feedback_diff/feedback-SHFLX-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/SHFLX-response_diff/regression-coefficient-shflx-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-feedback_diff/feedback-TAUX-NINO4-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUX-response_diff/regression-coefficient-taux-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response_diff/regression-coefficient-tauy-over-nino34.png\n" + ] + } + ], + "source": [ + "dev_glob = [file for file in DEV_GLOB if \"diff\" not in file]\n", + "for main_path, dev_path in zip(MAIN_GLOB, dev_glob):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All plots are really close. The two extra latitude points for `\"ccb\"` in the CDAT code\n", + " influence the diffs. Specifically, the regression-coefficient plots for xCDAT show a missing\n", + " line at the bottom which is most likely due to the two extra latitude points not being included.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/run.cfg b/auxiliary_tools/cdat_regression_testing/663-enso-diags/run.cfg new file mode 100644 index 000000000..a34870b91 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/run.cfg @@ -0,0 +1,140 @@ +[#] +sets = ["enso_diags"] +case_id = "PRECT-response" +variables = ["PRECT"] +ref_name = "GPCP_v2.3" +reference_name = "GPCP_v2.3" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-5,-3,-2,-1,-0.5,-0.2,0.2,0.5,1,2,3,5] +diff_levels = [-5,-3,-2,-1,-0.5,-0.2,0.2,0.5,1,2,3,5] + + +[#] +sets = ["enso_diags"] +case_id = "TAUX-response" +variables = ["TAUX"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-0.1,-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005 ,0.01,0.02,0.05,0.1] +diff_levels = [-0.1,-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005, 0.01,0.02,0.05,0.1] + + +[#] +sets = ["enso_diags"] +case_id = "TAUY-response" +variables = ["TAUY"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005 ,0.01,0.02,0.05] +diff_levels = [-0.05,-0.02, -0.01,-0.005,-0.002, 0.002,0.005, 0.01,0.02,0.05] + +[#] +sets = ["enso_diags"] +case_id = "LHFLX-response" +variables = ["LHFLX"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] +diff_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] + + +[#] +sets = ["enso_diags"] +case_id = "SHFLX-response" +variables = ["SHFLX"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-15,-10,-5,-2.5,-1,-0.5,0.5,1,2.5, 5,10,15] +diff_levels = [-15,-10,-5,-2.5,-1,-0.5,0.5,1,2.5, 5,10,15] + +[#] +sets = ["enso_diags"] +case_id = "NET_FLUX_SRF-response" +variables = ["NET_FLUX_SRF"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" +regions = ["20S20N"] +seasons = ["ANN"] +reference_colormap = "diverging_bwr.rgb" +test_colormap = "diverging_bwr.rgb" +diff_colormap = "BrBG" +contour_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] +diff_levels = [-30, -25, -20,-15,-10,-5,-2.5,2.5, 5,10,15,20,25,30] + +[#] +sets = ["enso_diags"] +plot_type = "scatter" +case_id = "TAUX-feedback" +variables = ["TAUX"] +seasons = ["ANN"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" + +[#] +sets = ["enso_diags"] +plot_type = "scatter" +case_id = "LHFLX-feedback" +variables = ["LHFLX"] +seasons = ["ANN"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" + +[#] +sets = ["enso_diags"] +plot_type = "scatter" +case_id = "SHFLX-feedback" +variables = ["SHFLX"] +seasons = ["ANN"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" + +[#] +sets = ["enso_diags"] +plot_type = "scatter" +case_id = "FLNS-feedback" +variables = ["FLNS"] +seasons = ["ANN"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" + +[#] +sets = ["enso_diags"] +plot_type = "scatter" +case_id = "FSNS-feedback" +variables = ["FSNS"] +seasons = ["ANN"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" + +[#] +sets = ["enso_diags"] +plot_type = "scatter" +case_id = "NET_FLUX_SRF-feedback" +variables = ["NET_FLUX_SRF"] +seasons = ["ANN"] +ref_name = "ERA-Interim" +reference_name = "ERA-Interim" diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/run_script.py b/auxiliary_tools/cdat_regression_testing/663-enso-diags/run_script.py new file mode 100644 index 000000000..dfdd2072a --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/run_script.py @@ -0,0 +1,14 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.663-enso-diags.run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "enso_diags" +SET_DIR = "663-enso-diags" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/663-enso-diags/run.cfg" +MULTIPROCESSING = True + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) + +# %% diff --git a/e3sm_diags/driver/enso_diags_driver.py b/e3sm_diags/driver/enso_diags_driver.py index ff060110a..bf56c3431 100644 --- a/e3sm_diags/driver/enso_diags_driver.py +++ b/e3sm_diags/driver/enso_diags_driver.py @@ -1,21 +1,24 @@ from __future__ import annotations -import json import math import os -from typing import TYPE_CHECKING - -import cdms2 -import cdutil -import numpy -import scipy.stats - -import e3sm_diags -from e3sm_diags.derivations import default_regions -from e3sm_diags.driver import utils +from typing import TYPE_CHECKING, Dict, List, Literal, Tuple, TypedDict, Union + +import numpy as np +import xarray as xr +import xcdat as xc +import xskillscore as xs + +from e3sm_diags import INSTALL_PATH +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.io import ( + _save_data_metrics_and_plots, + _write_vars_to_netcdf, +) +from e3sm_diags.driver.utils.regrid import _subset_on_region, align_grids_to_lower_res from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics import corr, max_cdms, mean, min_cdms, rmse, std -from e3sm_diags.plot.cartopy.enso_diags_plot import plot_map, plot_scatter +from e3sm_diags.metrics.metrics import spatial_avg, std +from e3sm_diags.plot.enso_diags_plot import plot_map, plot_scatter if TYPE_CHECKING: from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter @@ -24,170 +27,36 @@ logger = custom_logger(__name__) -def calculate_nino_index(nino_region_str, parameter, test=False, ref=False): - """ - Use the built-in HadISST nino index time series from http://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/ - for observation datasets and when model output is not available. - - Relevant files are e3sm_diags/driver/default_diags/enso_NINO{3, 34, 4}.long.data - """ - data_file = "".join(["enso_", nino_region_str, ".long.data"]) - nino_index_path = os.path.join(e3sm_diags.INSTALL_PATH, "enso_diags", data_file) - sst_orig = numpy.loadtxt( - nino_index_path, skiprows=1, max_rows=149 - ) # load data up to year 2018 from 1870 - if test: - start = int(parameter.test_start_yr) - end = int(parameter.test_end_yr) - elif ref: - start = int(parameter.ref_start_yr) - end = int(parameter.ref_end_yr) - else: - start = int(parameter.start_yr) - end = int(parameter.end_yr) - sst_years = sst_orig[:, 0].astype(int) - try: - start_ind = numpy.where(sst_years == start)[0][0] - end_ind = numpy.where(sst_years == end)[0][0] - except Exception: - msg = "Requested years are outside of available sst obs records." - raise RuntimeError(msg) - - sst = sst_orig[start_ind : end_ind + 1, 1:] - # Get anomaly from annual cycle climatology - annual_cycle = numpy.mean(sst, axis=0) - sst_anomaly = numpy.empty_like(sst) - num_years = end - start + 1 - for iyr in range(num_years): - sst_anomaly[iyr, :] = sst[iyr, :] - annual_cycle - nino_index = numpy.reshape(sst_anomaly, (num_years * 12)) +class MetricsDictScatter(TypedDict): + """A TypedDict class representing metrics for the scatter driver""" - if parameter.print_statements: - logger.info(f"nino_index_obs {nino_index}") - return nino_index + var: str + units: str + region: str + test: xr.DataArray + ref: xr.DataArray -def calculate_nino_index_model(data, nino_region_str, parameter): - """ - Calculate nino index based on model output SST or TS. If neither of these is available, - then use the built-in HadISST nino index. - """ +class MetricsSubDict(TypedDict): + """A TypedDict class representing the metrics sub-dictionary.""" - try: - try: - # Try sea surface temperature first. - sst = data.get_timeseries_variable("SST") - except RuntimeError as e1: - if str(e1).startswith("Neither does SST nor the variables in"): - logger.info( - "Handling the following exception by looking for surface " - f"temperature: {e1}", - ) - # Try surface temperature. - sst = data.get_timeseries_variable("TS") - logger.info( - "Simulated sea surface temperature not found, using surface temperature instead." - ) - else: - raise e1 - nino_region = default_regions.regions_specs[nino_region_str]["domain"] # type: ignore - sst_nino = sst(nino_region) - # Domain average - sst_avg = cdutil.averager(sst_nino, axis="xy") - # Get anomaly from annual cycle climatology - sst_avg_anomaly = cdutil.ANNUALCYCLE.departures(sst_avg) - nino_index = sst_avg_anomaly - except RuntimeError as e2: - logger.info( - "Handling the following exception by trying built-in HadISST nino index " - f"time series: {e2}" - ) - test = data.test - ref = data.ref - nino_index = calculate_nino_index( - nino_region_str, parameter, test=test, ref=ref - ) - logger.info( - "Simulated surface temperature not found, using built-in HadISST nino index time series instead." - ) + min: float + max: float + mean: List[float] + std: List[float] - if parameter.print_statements: - logger.info(f"nino_index_model {nino_index}") - return nino_index +# A type annotation representing the metrics dictionary. +MetricsDictMap = Dict[str, Union[MetricsSubDict, str]] -def perform_regression(data, parameter, var, region, land_frac, ocean_frac, nino_index): - ts_var = data.get_timeseries_variable(var) - domain = utils.general.select_region( - region, ts_var, land_frac, ocean_frac, parameter - ) - # Average over selected region, and average - # over months to get the yearly mean. - cdutil.setTimeBoundsMonthly(domain) - # Get anomaly from annual cycle climatology - if parameter.print_statements: - logger.info("domain.shape: {}".format(domain.shape)) - anomaly = cdutil.ANNUALCYCLE.departures(domain) - nlat = len(anomaly.getLatitude()) - nlon = len(anomaly.getLongitude()) - reg_coe = anomaly[0, :, :](squeeze=1) - confidence_levels = cdutil.ANNUALCYCLE.departures(domain)[0, :, :](squeeze=1) - # Neither of the following methods work, so we just set values in confidence_levels - # to be explicitly 0 or 1. - # confidence_levels = anomaly[0, :, :](squeeze=1).fill(0) - # confidence_levels = numpy.zeros_like(reg_coe) - for ilat in range(nlat): - if parameter.print_statements: - logger.info("ilat: {}".format(ilat)) - for ilon in range(nlon): - dependent_var = anomaly[:, ilat, ilon] - independent_var = nino_index - # Uncomment the following line to use CDAT/genutil instead - # (You'll also need to set pvalue) - # slope, intercept = genutil.statistics.linearregression(dependent_var, x=independent_var) - slope, _, _, pvalue, _ = scipy.stats.linregress( - independent_var, dependent_var - ) - reg_coe[ilat, ilon] = slope - # Set confidence level to 1 if significant and 0 if not - if pvalue < 0.05: - # p-value < 5% - # This implies significance at 95% confidence level - confidence_levels[ilat, ilon] = 1 - else: - confidence_levels[ilat, ilon] = 0 - if parameter.print_statements: - logger.info(f"confidence in fn: {confidence_levels.shape}") - sst_units = "degC" - reg_coe.units = "{}/{}".format(ts_var.units, sst_units) - if parameter.print_statements: - logger.info("reg_coe.shape: {}".format(reg_coe.shape)) - return domain, reg_coe, confidence_levels - - -def create_single_metrics_dict(values): - d = { - "min": float(min_cdms(values)), - "max": float(max_cdms(values)), - "mean": float(mean(values)), - "std": float(std(values)), - } - return d - - -def create_metrics(ref, test, ref_regrid, test_regrid, diff): - """Creates the relevant metrics in a dictionary""" - metrics_dict = {} - metrics_dict["ref"] = create_single_metrics_dict(ref) - metrics_dict["ref_regrid"] = create_single_metrics_dict(ref_regrid) - metrics_dict["test"] = create_single_metrics_dict(test) - metrics_dict["test_regrid"] = create_single_metrics_dict(test_regrid) - metrics_dict["diff"] = create_single_metrics_dict(diff) - d = metrics_dict["diff"] - d["rmse"] = float(rmse(test_regrid, ref_regrid)) - d["corr"] = float(corr(test_regrid, ref_regrid)) - return metrics_dict +def run_diag(parameter: EnsoDiagsParameter) -> EnsoDiagsParameter: + if parameter.plot_type == "map": + return run_diag_map(parameter) + elif parameter.plot_type == "scatter": + return run_diag_scatter(parameter) + else: + raise Exception("Invalid plot_type={}".format(parameter.plot_type)) def run_diag_map(parameter: EnsoDiagsParameter) -> EnsoDiagsParameter: @@ -197,255 +66,542 @@ def run_diag_map(parameter: EnsoDiagsParameter) -> EnsoDiagsParameter: nino_region_str = parameter.nino_region run_type = parameter.run_type - if parameter.print_statements: - logger.info("run_type: {}".format(run_type)) - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) + logger.info("run_type: {}".format(run_type)) + + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + if run_type == "model_vs_model": - test_nino_index = calculate_nino_index_model( - test_data, nino_region_str, parameter - ) - ref_nino_index = calculate_nino_index_model( - ref_data, nino_region_str, parameter - ) + da_test_nino = calculate_nino_index_model(test_ds, parameter, nino_region_str) + da_ref_nino = calculate_nino_index_model(ref_ds, parameter, nino_region_str) elif run_type == "model_vs_obs": - test_nino_index = calculate_nino_index_model( - test_data, nino_region_str, parameter + da_test_nino = calculate_nino_index_model(test_ds, parameter, nino_region_str) + da_ref_nino = calculate_nino_index_obs( + parameter, nino_region_str, data_type="ref" ) - ref_nino_index = calculate_nino_index(nino_region_str, parameter, ref=True) else: raise Exception("Invalid run_type={}".format(run_type)) for season in seasons: - if parameter.print_statements: - logger.info("Season: {}".format(season)) - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) + logger.info("Season: {}".format(season)) + parameter._set_name_yrs_attrs(test_ds, ref_ds, season) - # Get land/ocean fraction for masking. - try: - land_frac = test_data.get_climo_variable("LANDFRAC", season) - ocean_frac = test_data.get_climo_variable("OCNFRAC", season) - except Exception: - mask_path = os.path.join( - e3sm_diags.INSTALL_PATH, "acme_ne30_ocean_land_mask.nc" - ) - with cdms2.open(mask_path) as f: - land_frac = f("LANDFRAC") - ocean_frac = f("OCNFRAC") + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + parameter.var_id = "{}-regression-over-nino".format(var_key) - for var in variables: - if parameter.print_statements: - logger.info("Variable: {}".format(var)) - parameter.var_id = "{}-regression-over-nino".format(var) + ds_test = test_ds.get_time_series_dataset(var_key) + ds_ref = ref_ds.get_time_series_dataset(var_key) for region in regions: - if parameter.print_statements: - logger.info("Selected region: {}".format(region)) - - # This will be the title of the plot. - parameter.main_title = ( - "Regression coefficient, {} anomaly to {}".format( - var, nino_region_str - ) - ) - parameter.viewer_descr[var] = ", ".join([parameter.main_title, region]) + logger.info("Selected region: {}".format(region)) - # Test - ( - test_domain, - test_reg_coe, - test_confidence_levels, - ) = perform_regression( - test_data, - parameter, - var, - region, - land_frac, - ocean_frac, - test_nino_index, + ds_test_reg_coe, da_test_conf_lvls = calc_linear_regression( + ds_test, da_test_nino, var_key, region ) - - # Reference - ( - ref_domain, - ref_reg_coe, - ref_confidence_levels, - ) = perform_regression( - ref_data, - parameter, - var, - region, - land_frac, - ocean_frac, - ref_nino_index, + ds_ref_reg_coe, da_ref_conf_lvls = calc_linear_regression( + ds_ref, da_ref_nino, var_key, region ) - # Difference - # Regrid towards the lower resolution of the two variables for calculating the difference. ( - test_reg_coe_regrid, - ref_reg_coe_regrid, - ) = utils.general.regrid_to_lower_res( - test_reg_coe, - ref_reg_coe, + ds_test_reg_coe_regrid, + ds_ref_reg_coe_regrid, + ) = align_grids_to_lower_res( + ds_test_reg_coe, + ds_ref_reg_coe, + var_key, parameter.regrid_tool, parameter.regrid_method, ) - diff = test_reg_coe_regrid - ref_reg_coe_regrid - - # Metrics - metrics_dict = create_metrics( - ref_reg_coe, - test_reg_coe, - ref_reg_coe_regrid, - test_reg_coe_regrid, - diff, + + ds_diff_reg_coe = ds_test_reg_coe_regrid.copy() + ds_diff_reg_coe[var_key] = ( + ds_diff_reg_coe[var_key] - ds_ref_reg_coe_regrid[var_key] + ) + + metrics_dict = _create_metrics_dict( + ds_test_reg_coe, + ds_test_reg_coe_regrid, + ds_ref_reg_coe, + ds_ref_reg_coe_regrid, + ds_diff_reg_coe, + var_key, ) - # If not defined, determine contour_levels + if not parameter.contour_levels or not parameter.diff_levels: - # We want contour levels for the plot, - # which uses original (non-regridded) test and ref, - # so we use those min and max values. - min_contour_level = math.floor( - min( - metrics_dict["ref"]["min"], - metrics_dict["test"]["min"], - ) - ) - max_contour_level = math.ceil( - max( - metrics_dict["ref"]["max"], - metrics_dict["test"]["max"], - ) - ) - CENTER_ON_ZERO = True - if CENTER_ON_ZERO: - bound = max(abs(max_contour_level), abs(min_contour_level)) - lower_bound = -bound - upper_bound = bound - contour_level_range = 2 * bound - else: - lower_bound = min_contour_level - upper_bound = max_contour_level - contour_level_range = max_contour_level - min_contour_level - step_size = contour_level_range / 10 - if step_size > 1: - step_size = int(step_size) - elif step_size == 0: - step_size = 1 / 10 - contour_levels = list( - numpy.arange(lower_bound, upper_bound + 1, step_size) - ) - if not parameter.contour_levels: - parameter.contour_levels = contour_levels - if not parameter.diff_levels: - parameter.diff_levels = contour_levels - parameter.output_file = "regression-coefficient-{}-over-{}".format( - var.lower(), nino_region_str.lower() - ) + contour_levels = _get_contour_levels(metrics_dict) + parameter.contour_levels = parameter.diff_levels = contour_levels - # Saving the metrics as a json. - metrics_dict["unit"] = test_reg_coe_regrid.units - metrics_output_file_name = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", + parameter.main_title = ( + f"Regression coefficient, {var_key} anomaly to {nino_region_str}" ) - with open(metrics_output_file_name, "w") as outfile: - json.dump(metrics_dict, outfile) - # Get the file name that the user has passed in and display that. - metrics_output_file_name = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", + parameter.output_file = ( + f"regression-coefficient-{var_key.lower()}-over-" + f"{nino_region_str.lower()}" ) - logger.info("Metrics saved in: {}".format(metrics_output_file_name)) - - # Plot parameter.var_region = region - # Plot original ref and test, not regridded versions. - plot_map( - ref_reg_coe, - test_reg_coe, - diff, - metrics_dict, - ref_confidence_levels, - test_confidence_levels, - parameter, - ) - utils.general.save_ncfiles( - parameter.current_set, - test_reg_coe, - ref_reg_coe, - diff, + + _save_data_metrics_and_plots( parameter, + plot_map, + var_key, + ds_test_reg_coe, + ds_ref_reg_coe, + ds_diff_reg_coe, + metrics_dict, # type: ignore + plot_kwargs={ + "da_test_conf_lvls": da_test_conf_lvls, + "da_ref_conf_lvls": da_ref_conf_lvls, + }, + viewer_descr=", ".join([parameter.main_title, region]), ) + return parameter def run_diag_scatter(parameter: EnsoDiagsParameter) -> EnsoDiagsParameter: variables = parameter.variables run_type = parameter.run_type - # We will always use the same regions, so we don't do the following: - # x['region'] = parameter.nino_region - # y['region'] = parameter.regions[0] - x = {"var": "TS", "units": "degC", "region": "NINO3"} - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) - if parameter.print_statements: - logger.info("run_type: {}".format(run_type)) + + logger.info("run_type: {}".format(run_type)) + + metrics_dict: MetricsDictScatter = { + "var": "TS", + "units": "degC", + "region": "NINO3", + "test": xr.DataArray(), + "ref": xr.DataArray(), + } + + test_ds = Dataset(parameter, data_type="test") + ref_ds = Dataset(parameter, data_type="ref") + + parameter._set_name_yrs_attrs(test_ds, ref_ds, None) + if run_type == "model_vs_model": - x["test"] = calculate_nino_index_model(test_data, x["region"], parameter) - x["ref"] = calculate_nino_index_model(ref_data, x["region"], parameter) + metrics_dict["test"] = calculate_nino_index_model( + test_ds, parameter, metrics_dict["region"] + ) + metrics_dict["ref"] = calculate_nino_index_model( + ref_ds, parameter, metrics_dict["region"] + ) elif run_type == "model_vs_obs": - x["test"] = calculate_nino_index_model(test_data, x["region"], parameter) - x["ref"] = calculate_nino_index(x["region"], parameter, ref=True) + metrics_dict["test"] = calculate_nino_index_model( + test_ds, parameter, metrics_dict["region"] + ) + metrics_dict["ref"] = calculate_nino_index_obs( + parameter, metrics_dict["region"], "ref" + ) else: raise Exception("Invalid run_type={}".format(run_type)) - parameter.test_name_yrs = utils.general.get_name_and_yrs(parameter, test_data) - parameter.ref_name_yrs = utils.general.get_name_and_yrs(parameter, ref_data) - for y_var in variables: - if y_var == "TAUX": + + for var_key in variables: + logger.info("Variable: {}".format(var_key)) + if var_key == "TAUX": regions = ["NINO4"] else: regions = ["NINO3"] + for region in regions: - y = {"var": y_var, "region": region} - test_data_ts = test_data.get_timeseries_variable(y_var) - ref_data_ts = ref_data.get_timeseries_variable(y_var) - y_region = default_regions.regions_specs[region]["domain"] # type: ignore - test_data_ts_regional = test_data_ts(y_region) - ref_data_ts_regional = ref_data_ts(y_region) + y: MetricsDictScatter = { + "var": var_key, + "region": region, + "units": "", + "test": xr.DataArray(), + "ref": xr.DataArray(), + } + + ds_test = test_ds.get_time_series_dataset(var_key) + ds_ref = ref_ds.get_time_series_dataset(var_key) + + ds_test_region = _subset_on_region(ds_test, var_key, region) + ds_ref_region = _subset_on_region(ds_ref, var_key, region) + # Domain average - test_avg = cdutil.averager(test_data_ts_regional, axis="xy") - ref_avg = cdutil.averager(ref_data_ts_regional, axis="xy") + ds_test_avg = ds_test_region.spatial.average(var_key) + ds_ref_avg = ds_ref_region.spatial.average(var_key) + # Get anomaly from annual cycle climatology - y["test"] = cdutil.ANNUALCYCLE.departures(test_avg) - y["ref"] = cdutil.ANNUALCYCLE.departures(ref_avg) - y["units"] = test_avg.units - if y_var == "TAUX": + y["test"] = ds_test_avg.temporal.departures(var_key, freq="month")[var_key] + y["ref"] = ds_ref_avg.temporal.departures(var_key, freq="month")[var_key] + y["units"] = y["test"].attrs["units"] + + if var_key == "TAUX": y["test"] *= 1000 y["ref"] *= 1000 y["units"] = "10^3 {}".format(y["units"]) - parameter.var_id = "{}-feedback".format(y["var"]) - title_tuple = (y["var"], y["region"], x["var"], x["region"]) + + parameter.var_id = f"{y['var']}-feedback" + + title_tuple = ( + y["var"], + y["region"], + metrics_dict["var"], + metrics_dict["region"], + ) parameter.main_title = "{} anomaly ({}) vs. {} anomaly ({})".format( *title_tuple ) parameter.viewer_descr[y["var"]] = parameter.main_title parameter.output_file = "feedback-{}-{}-{}-{}".format(*title_tuple) - plot_scatter(x, y, parameter) + + plot_scatter(parameter, metrics_dict, y) + + if parameter.save_netcdf: + _write_vars_to_netcdf( + parameter, + var_key, + y["test"].to_dataset(), + y["ref"].to_dataset(), + None, + ) + return parameter -def run_diag(parameter: EnsoDiagsParameter) -> EnsoDiagsParameter: - if parameter.plot_type == "map": - return run_diag_map(parameter) - elif parameter.plot_type == "scatter": - return run_diag_scatter(parameter) - else: - raise Exception("Invalid plot_type={}".format(parameter.plot_type)) +def calculate_nino_index_model( + ds_obj: Dataset, + parameter: EnsoDiagsParameter, + nino_region_str: str, +) -> xr.DataArray: + """Calculate nino index based on model output SST or TS. + + If neither of these is available, then use the built-in HadISST nino index. + + Parameters + ---------- + ds_obj : Dataset + The dataset object. + parameter : EnsoDiagsParameter + The parameter object. + nino_region_str : str + The nino region. + + Returns + ------- + xr.DataArray + The nino index based on the model output. + + Raises + ------ + RunTimeError + If the "SST" or "TS" variables are not found. + """ + try: + try: + # Try sea surface temperature first. + sst = ds_obj.get_time_series_dataset("SST") + nino_var_key = "SST" + except IOError as e1: + if str(e1).startswith("No time series `.nc` file was found for 'SST' in"): + logger.info( + "Handling the following exception by looking for surface " + f"temperature: {e1}", + ) + # Try surface temperature. + sst = ds_obj.get_time_series_dataset("TS") + nino_var_key = "TS" + + logger.info( + "Simulated sea surface temperature not found, using surface " + "temperature instead." + ) + else: + raise e1 + + sst_nino = _subset_on_region(sst, nino_var_key, nino_region_str) + + # Domain average + sst_avg = sst_nino.spatial.average(nino_var_key, axis=["X", "Y"]) + + # Get anomaly from annual cycle climatology + sst_avg_anomaly = sst_avg.temporal.departures(nino_var_key, freq="month") + da_nino = sst_avg_anomaly[nino_var_key] + + except IOError as e2: + logger.info( + "Handling the following exception by trying built-in HadISST nino index " + f"time series: {e2}" + ) + da_nino = calculate_nino_index_obs(parameter, nino_region_str, ds_obj.data_type) + logger.info( + "Simulated surface temperature not found, using built-in HadISST nino " + "index time series instead." + ) + + return da_nino + + +def calculate_nino_index_obs( + parameter: EnsoDiagsParameter, + nino_region_str: str, + data_type: Literal["test", "ref"], +) -> xr.DataArray: + """Calculate the nino index using default observational datasets. + + This function uses the default HadISST nino index time series from + http://www.esrl.noaa.gov/psd/gcos_wgsp/Timeseries/ for observation datasets + and when model output is not available. + + Relevant files are e3sm_diags/driver/default_diags/enso_NINO{3, 34, 4}.long.data + + Parameters + ---------- + parameter : EnsoDiagsParameter + The parameter object. + nino_region_str : str + The nino region. + data_type : {"test", "ref"} + The data type, either "test" or "ref". + + Returns + ------- + xr.DataArray + The nino index. + + Raises + ------ + RuntimeError + If the requested years are outside the SST observational records. + """ + data_file = "".join(["enso_", nino_region_str, ".long.data"]) + nino_index_path = os.path.join(INSTALL_PATH, "enso_diags", data_file) + + # Load data up to year 2018 from 1870 + sst_orig = np.loadtxt(nino_index_path, skiprows=1, max_rows=149) + + if data_type == "test": + start = int(parameter.test_start_yr) + end = int(parameter.test_end_yr) + elif data_type == "ref": + start = int(parameter.ref_start_yr) + end = int(parameter.ref_end_yr) + + sst_years = sst_orig[:, 0].astype(int) + + try: + start_ind = np.where(sst_years == start)[0][0] + end_ind = np.where(sst_years == end)[0][0] + except Exception: + msg = "Requested years are outside of available sst obs records." + raise RuntimeError(msg) + + sst = sst_orig[start_ind : end_ind + 1, 1:] + + # Get anomaly from annual cycle climatology + annual_cycle = np.mean(sst, axis=0) + sst_anomaly = np.empty_like(sst) + num_years = end - start + 1 + + for iyr in range(num_years): + sst_anomaly[iyr, :] = sst[iyr, :] - annual_cycle + + len_months = num_years * 12 + nino_index = np.reshape(sst_anomaly, len_months) + + da_nino_index = xr.DataArray( + name="SST", data=nino_index, dims="time", coords={"time": np.arange(len_months)} + ) + + return da_nino_index + + +def calc_linear_regression( + ds: xr.Dataset, + da_nino: xr.DataArray, + var_key: str, + region: str, +) -> Tuple[xr.Dataset, xr.DataArray]: + """Calculate the linear regression between the variable and the nino index. + + Parameters + ---------- + ds : xr.Dataset + The dataset containing the variable. + da_nino : xr.DataArray + The nino index. + var_key : str + The key of the variable. + region : str + The nino region. + + Returns + ------- + Tuple[xr.Dataset, xr.DataArray] + A tuple containing the regression coefficient dataset and the + confidence levels dataarray. + """ + # Average over selected region, and average over months to get the yearly mean. + domain = _subset_on_region(ds, var_key, region) + + # Get anomaly from annual cycle climatology + anomaly = domain.temporal.departures(var_key, freq="month") + anomaly_var = anomaly[var_key].copy() + + # Align the time coordinates to enable Xarray alignment before calculating + # linear slope. This is necessary when the reference nino index is + # from observation data. + independent_var = da_nino.copy() + independent_var = _align_time_coords(anomaly_var, independent_var) + + reg_coe = xs.linslope(independent_var, anomaly_var, keep_attrs=True) + + # Set confidence level to 1 if significant and 0 if not. + # p-value < 5%, implies significance at 95% confidence level. + conf_lvls = xs.pearson_r_p_value(independent_var, anomaly_var, keep_attrs=True) + conf_lvls_masked = xr.where(conf_lvls < 0.05, 1, 0, keep_attrs=True) + + sst_units = "degC" + reg_coe.attrs["units"] = "{}/{}".format(ds[var_key].units, sst_units) + + reg_coe.name = var_key + conf_lvls_masked.name = var_key + + ds_reg_coe = reg_coe.to_dataset() + ds_reg_coe = ds_reg_coe.bounds.add_missing_bounds(axes=["X", "Y", "T"]) + + return ds_reg_coe, conf_lvls_masked + + +def _align_time_coords(da: xr.DataArray, da_nino_index: xr.DataArray) -> xr.DataArray: + """Align the nino index time coordinates to the variable. + + The reference data is calculated using a nino index from observation data. + The time coordinates of the nino index is updated to align with the + reference data for downstream operations using Xarray broadcasting + and alignment. + + Parameters + ---------- + da_test : xr.DataArray + The variable. + da_nino_index : xr.DataArray + The nino index variable. + + Returns + ------- + xr.DataArray + The nino index variable with time coordinates aligned to the variable. + """ + time_coords = xc.get_dim_coords(da, axis="T") + + da_ref_new = da_nino_index.assign_coords({"time": time_coords}) + + return da_ref_new + + +def _create_metrics_dict( + ds_test: xr.Dataset, + ds_test_regrid: xr.Dataset, + ds_ref: xr.Dataset, + ds_ref_regrid: xr.Dataset, + ds_diff: xr.Dataset, + var_key: str, +) -> MetricsDictMap: + """Calculate metrics using the variable in the datasets. + + Metrics include min value, max value, spatial average (mean), and standard + deviation. + + Parameters + ---------- + var_key : str + The variable key. + ds_test : xr.Dataset + The test dataset. + ds_test_regrid : xr.Dataset + The regridded test dataset. + ds_ref : xr.Dataset + The reference dataset. + ds_ref_regrid : xr.Dataset + The regridded reference dataset. + ds_diff : xr.Dataset | None + The difference between ``ds_test_regrid`` and ``ds_ref_regrid``. + + Returns + ------- + MetricsDict + A dictionary with the key being a string and the value being a + sub-dictionary (key is metric and value is float). + """ + metrics_dict: MetricsDictMap = {} + + metrics_dict["ref"] = get_metrics_subdict(ds_ref, var_key) + metrics_dict["ref_regrid"] = get_metrics_subdict(ds_ref_regrid, var_key) + metrics_dict["test"] = get_metrics_subdict(ds_test, var_key) + metrics_dict["test_regrid"] = get_metrics_subdict(ds_test_regrid, var_key) + metrics_dict["diff"] = get_metrics_subdict(ds_diff, var_key) + + metrics_dict["unit"] = ds_test[var_key].units + + return metrics_dict + + +def get_metrics_subdict(ds: xr.Dataset, var_key: str) -> MetricsSubDict: + """Get the metrics sub-dictionary. + + Parameters + ---------- + ds : xr.Dataset + The dataset object. + var_key : str + The key of the variable to calculate metrics for. + + Returns + ------- + MetricsSubDict + A dictionary of metrics. + """ + metrics_subdict: MetricsSubDict = { + "min": ds[var_key].min().item(), + "max": ds[var_key].max().item(), + "mean": spatial_avg(ds, var_key, axis=["X", "Y"], as_list=True), # type: ignore + "std": std(ds, var_key), + } + return metrics_subdict + + +def _get_contour_levels(metrics_dict: MetricsDictMap) -> List[float]: + """Get the contour levels for the map plot. + + The non-regridded data ("test" and "ref") are used for their min and max + values. + + Parameters + ---------- + metrics_dict : MetricsDictMap + The metrics dictionary. + + Returns + ------- + List[float] + A list of floats representing contour levels. + """ + min_contour_level = math.floor( + min( + metrics_dict["ref"]["min"], # type: ignore + metrics_dict["test"]["min"], # type: ignore + ) + ) + max_contour_level = math.ceil( + max( + metrics_dict["ref"]["max"], # type: ignore + metrics_dict["test"]["max"], # type: ignore + ) + ) + + # Center on zero. + bound = max(abs(max_contour_level), abs(min_contour_level)) + lower_bound = -bound + upper_bound = bound + contour_level_range = 2 * bound + + step_size = contour_level_range / 10 + if step_size > 1: + step_size = int(step_size) + elif step_size == 0: + step_size = 1 / 10 + + contour_levels = list(np.arange(lower_bound, upper_bound + 1, step_size)) + + return contour_levels diff --git a/e3sm_diags/driver/qbo_driver.py b/e3sm_diags/driver/qbo_driver.py index d05952691..e8ec32f49 100644 --- a/e3sm_diags/driver/qbo_driver.py +++ b/e3sm_diags/driver/qbo_driver.py @@ -109,11 +109,7 @@ def run_diag(parameter: QboParameter) -> QboParameter: # Write the metrics to .json files. test_dict["name"] = test_ds._get_test_name() - - try: - ref_dict["name"] = ref_ds._get_ref_name() - except AttributeError: - ref_dict["name"] = parameter.ref_name + ref_dict["name"] = ref_ds._get_ref_name() _save_metrics_to_json(parameter, test_dict, "test") # type: ignore _save_metrics_to_json(parameter, ref_dict, "ref") # type: ignore diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 86a30c0a1..7645d0c60 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -16,7 +16,7 @@ import glob import os import re -from datetime import datetime +from datetime import datetime, timedelta from typing import TYPE_CHECKING, Callable, Dict, Literal, Tuple import pandas as pd @@ -37,7 +37,6 @@ if TYPE_CHECKING: from e3sm_diags.parameter.core_parameter import CoreParameter - logger = custom_logger(__name__) # A constant variable that defines the pattern for time series filenames. @@ -239,11 +238,13 @@ def _get_test_name(self) -> str: return self.parameter.short_test_name elif self.parameter.test_name != "": return self.parameter.test_name + else: + # NOTE: This else statement is preserved from the previous CDAT + # codebase to maintain the same behavior. + if self.parameter.test_name == "": + logger.warning("No test name was set, using empty string as test name.") - raise AttributeError( - "Either `parameter.short_test_name` or `parameter.test_name attributes` " - "must be set to get the name and years attribute for test datasets." - ) + return self.parameter.test_name def _get_ref_name(self) -> str: """Get the diagnostic reference name. @@ -261,14 +262,15 @@ def _get_ref_name(self) -> str: return self.parameter.short_ref_name elif self.parameter.reference_name != "": return self.parameter.reference_name - elif self.parameter.ref_name != "": - return self.parameter.ref_name + else: + # NOTE: This else statement is preserved from the previous CDAT + # codebase to maintain the same behavior. + if self.parameter.ref_name == "": + logger.warning( + "No reference name was set, using empty string as reference name." + ) - raise AttributeError( - "Either `parameter.short_ref_name`, `parameter.reference_name`, or " - "`parameter.ref_name` must be set to get the name and years attribute for " - "reference datasets." - ) + return self.parameter.ref_name def _get_global_attr_from_climo_dataset( self, attr: str, season: ClimoFreq @@ -1238,66 +1240,118 @@ def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: start_time = f"{start_yr_str}-01-01" end_time = f"{str(int(end_yr_str) + 1)}-01-01" else: - start_time = f"{start_yr_str}-01-15" - end_time = self._get_end_time_with_bounds(ds, end_yr_str) + start_time = self._get_slice_with_bounds(ds, start_yr_str, "start") + end_time = self._get_slice_with_bounds(ds, end_yr_str, "end") return slice(start_time, end_time) - def _get_end_time_with_bounds(self, ds: xr.Dataset, old_end_time_str: str) -> str: - """Get the end time for non-submonthly data using bounds. + def _get_slice_with_bounds( + self, ds: xr.Dataset, year_str: str, slice_type: Literal["start", "end"] + ) -> str: + """Get the time slice for non-submonthly data using bounds if needed. For example, let's say we have non-submonthly time coordinates with a - start time of "2011-01-01" and end time of "2014-01-01". We pre-define + start time and end time of ("2011-01-01", "2014-01-01"). We pre-define a time slice of ("2011-01-15", "2013-12-15"). However slicing with an end time of "2013-12-15" will exclude the last coordinate - "2014-01-01". To rectify this situation, we use time bounds to extend - the coordinates like so: + "2014-01-01". To rectify this situation, we use the time delta between + time bounds to extend the end time slice to "2014-01-15". 1. Get the time delta between bound values ["2013-12-15", "2014-01-15"], which is one month. 2. Add the time delta to the old end time of "2013-12-15", which - results in a new end time of "2014-01-15". + results in a new end time of "2014-01-15" + - Time delta is subtracted if start time slice needs to be + adjusted. 3. Now slice the time coordinates using ("2011-01-15", "2014-01-15"). - This new time slice will correctly subset to include the last - coordinate value of "2014-01-01". + Xarray will now correctly correctly subset to include the last + coordinate value of "2014-01-01" using this time slice. Parameters ---------- ds : xr.Dataset The dataset. - old_end_time_str : str - The old end time string. + year_str : str + The year string for the slice. + slice_type : Literal["start", "end"] + The slice type, start or end. Returns ------- str - The new end time string. + The new time slice type. Notes ----- This function replicates the cdms2/cdutil "ccb" slice flag used for subsetting. "ccb" only allows the right side to be closed. It will get - the difference between bounds values and add it to the last coordinate - point to get a new stopping point to slice on. + the difference between bounds values and adjust the subsetted start + and end time coordinates depending on whether they fall within the + slice or not. """ + time_bounds = ds.bounds.get_bounds(axis="T") + time_delta = self._get_time_bounds_delta(time_bounds) + time_coords = xc.get_dim_coords(ds, axis="T") - time_dim = time_coords.name - time_bnds_key = time_coords.attrs["bounds"] - - # Extract the sub-dataset for all data at the last time coordinate and - # get the delta between time coordinates using the difference between - # bounds values. - ds_last_time = ds.isel({time_dim: -1}) - time_bnds = ds_last_time[time_bnds_key] - time_delta = time_bnds[-1] - time_bnds[0] + actual_day = time_coords[0].dt.day.item() + actual_month = time_coords[0].dt.month.item() + + if slice_type == "start": + stop = f"{year_str}-01-15" + + if actual_day >= 15 or actual_month > 1: + return stop + + stop_dt = datetime.strptime(stop, "%Y-%m-%d") + new_stop = stop_dt - time_delta + elif slice_type == "end": + stop = f"{year_str}-12-15" + + if actual_day <= 15 and actual_month == 1: + return stop + + stop_dt = datetime.strptime(stop, "%Y-%m-%d") + new_stop = stop_dt + time_delta + + new_stop_str = self._convert_new_stop_pt_to_iso_format(new_stop) + + return new_stop_str + + def _get_time_bounds_delta(self, time_bnds: xr.DataArray) -> timedelta: + """Get the time delta between bounds values. + + Parameters + ---------- + time_bnds : xr.DataArray + The time bounds. + + Returns + ------- + timedelta + The time delta. + """ + time_delta = time_bnds[0][-1] - time_bnds[0][0] time_delta_py = pd.to_timedelta(time_delta.values).to_pytimedelta() - # Add the time delta to the old stop point to get a new stop point. - old_stop = datetime.strptime(f"{old_end_time_str}-12-15", "%Y-%m-%d") - new_stop = old_stop + time_delta_py + return time_delta_py + + def _convert_new_stop_pt_to_iso_format(self, new_stop: datetime) -> str: + """ + Convert the new stop point from datetime to an ISO-8061 formatted + string. + + For example, "2012-12-15" and "0051-12-01". + + Parameters + ---------- + new_stop : datetime + The new stop point. - # Convert the new stopping point from datetime to an ISO-8061 formatted - # string (e.g., "2012-01-01", "0051-12-01"). + Returns + ------- + str + The new stop point as an ISO-8061 formatted string. + """ year_str = self._get_year_str(new_stop.year) month_day_str = self._get_month_day_str(new_stop.month, new_stop.day) new_stop_str = f"{year_str}-{month_day_str}" diff --git a/e3sm_diags/driver/utils/io.py b/e3sm_diags/driver/utils/io.py index df9bed067..13bf5dc16 100644 --- a/e3sm_diags/driver/utils/io.py +++ b/e3sm_diags/driver/utils/io.py @@ -3,7 +3,7 @@ import errno import json import os -from typing import Callable, Literal +from typing import Any, Callable, Dict, Literal import xarray as xr @@ -22,6 +22,8 @@ def _save_data_metrics_and_plots( ds_ref: xr.Dataset | None, ds_diff: xr.Dataset | None, metrics_dict: MetricsDict | None, + plot_kwargs: Dict[str, Any] | None = None, + viewer_descr: str | None = None, ): """Save data (optional), metrics, and plots. @@ -45,6 +47,15 @@ def _save_data_metrics_and_plots( The optional dictionary containing metrics for the variable. Some sets such as cosp_histogram only calculate spatial average and do not use ``metrics_dict``. + plot_kwargs : Dict[str, Any] | None + An optional dictionary containing extra keyword arguments used by a + plotter, by default None. For example, the enso_diags plotter has extra + kwargs for confidence levels called `da_test_conf_lvls` and + `da_ref_conf_lvls`. + viewer_descr : str | None + An optional viewer description, by default None. For example, + the enso_diags driver has a custom viewer description that is not + the "long_name" variable attribute. """ if parameter.save_netcdf: _write_vars_to_netcdf( @@ -65,20 +76,29 @@ def _save_data_metrics_and_plots( logger.info(f"Metrics saved in {filepath}") - # Set the viewer description to the "long_name" attr of the variable. - parameter.viewer_descr[var_key] = ds_test[var_key].attrs.get("long_name", var_key) + # Set the viewer description to the "long_name" attr of the variable if not + # manually set. + if viewer_descr is not None: + parameter.viewer_descr[var_key] = viewer_descr + else: + parameter.viewer_descr[var_key] = ds_test[var_key].attrs.get( + "long_name", var_key + ) # Get the function arguments and pass to the set's plotting function. - args = [ - parameter, - ds_test[var_key], - ds_ref[var_key] if ds_ref is not None else None, - ds_diff[var_key] if ds_diff is not None else None, - ] + args = { + "parameter": parameter, + "da_test": ds_test[var_key], + "da_ref": ds_ref[var_key] if ds_ref is not None else None, + "da_diff": ds_diff[var_key] if ds_diff is not None else None, + } if metrics_dict is not None: - args = args + [metrics_dict] + args["metrics_dict"] = metrics_dict + + if plot_kwargs is not None: + args = {**args, **plot_kwargs} - plot_func(*args) + plot_func(**args) def _write_vars_to_netcdf( diff --git a/e3sm_diags/plot/cartopy/enso_diags_plot.py b/e3sm_diags/plot/cartopy/enso_diags_plot.py deleted file mode 100644 index 457c8a1dc..000000000 --- a/e3sm_diags/plot/cartopy/enso_diags_plot.py +++ /dev/null @@ -1,463 +0,0 @@ -from __future__ import print_function - -import os - -import cartopy.crs as ccrs -import cdutil -import matplotlib -import numpy as np -import numpy.ma as ma -from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter -from numpy.polynomial.polynomial import polyfit - -from e3sm_diags.derivations.default_regions import regions_specs -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger -from e3sm_diags.plot import get_colormap - -matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.6810, 0.6465, 0.2258), - (0.1691, 0.3961, 0.6465, 0.2258), - (0.1691, 0.1112, 0.6465, 0.2258), -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def determine_tick_step(degrees_covered): - if degrees_covered > 180: - return 60 - if degrees_covered > 60: - return 30 - elif degrees_covered > 20: - return 10 - else: - return 1 - - -def plot_panel_map( - n, fig, proj, var, clevels, cmap, title, parameter, conf=None, stats={} -): - var = add_cyclic(var) - lon = var.getLongitude() - lat = var.getLatitude() - var = ma.squeeze(var.asma()) - - # Contour levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - # Contour plot - ax = fig.add_axes(panel[n], projection=proj) - region_str = parameter.regions[0] - region = regions_specs[region_str] - if "domain" in region.keys(): # type: ignore - # Get domain to plot - domain = region["domain"] # type: ignore - else: - # Assume global domain - domain = cdutil.region.domain(latitude=(-90.0, 90, "ccb")) - kargs = domain.components()[0].kargs - lon_west, lon_east, lat_south, lat_north = (0, 360, -90, 90) - if "longitude" in kargs: - lon_west, lon_east, _ = kargs["longitude"] - if "latitude" in kargs: - lat_south, lat_north, _ = kargs["latitude"] - lon_covered = lon_east - lon_west - lon_step = determine_tick_step(lon_covered) - xticks = np.arange(lon_west, lon_east, lon_step) - # Subtract 0.50 to get 0 W to show up on the right side of the plot. - # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the left side of the plot. - # If a number is added, then the value won't show up at all. - xticks = np.append(xticks, lon_east - 0.50) - lat_covered = lat_north - lat_south - lat_step = determine_tick_step(lat_covered) - yticks = np.arange(lat_south, lat_north, lat_step) - yticks = np.append(yticks, lat_north) - ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=proj) - cmap = get_colormap(cmap, parameter) - contours = ax.contourf( - lon, - lat, - var, - transform=ccrs.PlateCarree(), - norm=norm, - levels=levels, - cmap=cmap, - extend="both", - ) - - if conf is not None: - conf = add_cyclic(conf) - conf = ma.squeeze(conf.asma()) - # Values in conf will be either 0 or 1. Thus, there are only two levels - - # represented by the no-hatching and hatching levels. - ax.contourf( - lon, - lat, - conf, - 2, - transform=ccrs.PlateCarree(), - norm=norm, - colors="none", - extend="both", - hatches=[None, "//"], - ) - # Full world would be aspect 360/(2*180) = 1 - ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) - ax.coastlines(lw=0.3) - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - ax.set_xticks(xticks, crs=ccrs.PlateCarree()) - ax.set_yticks(yticks, crs=ccrs.PlateCarree()) - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - # Place a vertical line in the middle of the plot - i.e. 180 degrees - ax.axvline(x=0.5, color="k", linewidth=0.5) - - # Color bar - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0115, 0.0326, 0.1792)) - cbar = fig.colorbar(contours, cax=cbax) - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 1.0: - fmt = "%5.3f" - pad = 30 - elif maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - else: - fmt = "%6.1f" - pad = 30 - cbar.set_ticks(levels[1:-1]) - labels = [fmt % level for level in levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha="right") - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Display stats - if stats: - top_stats = (stats["max"], stats["min"], stats["mean"], stats["std"]) - top_text = "Max\nMin\nMean\nSTD" - fig.text( - panel[n][0] + 0.6635, - panel[n][1] + 0.2107, - top_text, - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.7635, - panel[n][1] + 0.2107, - "%.2f\n%.2f\n%.2f\n%.2f" % top_stats, - ha="right", - fontdict=plotSideTitle, - ) - - if "rmse" in stats.keys(): - bottom_stats = (stats["rmse"], stats["corr"]) - bottom_text = "RMSE\nCORR" - fig.text( - panel[n][0] + 0.6635, - panel[n][1] - 0.0205, - bottom_text, - ha="left", - fontdict=plotSideTitle, - ) - fig.text( - panel[n][0] + 0.7635, - panel[n][1] - 0.0205, - "%.2f\n%.2f" % bottom_stats, - ha="right", - fontdict=plotSideTitle, - ) - - # Hatch text - if conf is not None: - hatch_text = "Hatched when pvalue < 0.05" - fig.text( - panel[n][0] + 0.25, - panel[n][1] - 0.0355, - hatch_text, - ha="right", - fontdict=plotSideTitle, - ) - - -def plot_map( - reference, - test, - diff, - metrics_dict, - ref_confidence_levels, - test_confidence_levels, - parameter, -): - if parameter.backend not in ["cartopy", "mpl", "matplotlib"]: - return - - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - # Use 179.99 as central longitude due to https://github.com/SciTools/cartopy/issues/946 - # proj = ccrs.PlateCarree(central_longitude=180) - proj = ccrs.PlateCarree(central_longitude=179.99) - - # Use non-regridded test and ref for stats, - # so we have the original stats displayed - - # First panel - plot_panel_map( - 0, - fig, - proj, - test, - parameter.contour_levels, - parameter.test_colormap, - (parameter.test_name_yrs, parameter.test_title, test.units), - parameter, - conf=test_confidence_levels, - stats=metrics_dict["test"], - ) - - # Second panel - plot_panel_map( - 1, - fig, - proj, - reference, - parameter.contour_levels, - parameter.reference_colormap, - (parameter.ref_name_yrs, parameter.reference_title, reference.units), - parameter, - conf=ref_confidence_levels, - stats=metrics_dict["ref"], - ) - - # Third panel - plot_panel_map( - 2, - fig, - proj, - diff, - parameter.diff_levels, - parameter.diff_colormap, - (None, parameter.diff_title, test.units), - parameter, - stats=metrics_dict["diff"], - ) - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.97, fontsize=15) - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/enso_diags/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/enso_diags/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file is defined in e3sm_diags/driver/enso_diags_driver.py - # {parameter.results_dir}/enso_diags/{parameter.case_id}/{parameter.output_file} - file_path = os.path.join(output_dir, parameter.output_file) - # {parameter.orig_results_dir}/enso_diags/{parameter.case_id}/{parameter.output_file} - original_file_path = os.path.join(original_output_dir, parameter.output_file) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - original_plot_file_path = original_file_path + plot_suffix - logger.info(f"Plot saved in: {original_plot_file_path}") - - # Save individual subplots - for f in parameter.output_format_subplot: - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - subplot_suffix = ".%i." % (i) + f - subplot_file_path = file_path + subplot_suffix - plt.savefig(subplot_file_path, bbox_inches=extent) - # Get the filename that the user has passed in and display that. - original_subplot_file_path = original_file_path + subplot_suffix - logger.info(f"Sub-plot saved in: {original_subplot_file_path}") - i += 1 - - plt.close() - - -def plot_scatter(x, y, parameter): - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - test_color = "black" - ref_color = "red" - test_title = "Test" if parameter.test_title == "" else parameter.test_title - if parameter.test_name_yrs: - test_title += " : {}".format(parameter.test_name_yrs) - ref_title = ( - "Reference" if parameter.reference_title == "" else parameter.reference_title - ) - if parameter.ref_name_yrs: - ref_title += " : {}".format(parameter.ref_name_yrs) - # https://stackoverflow.com/questions/14827650/pyplot-scatter-plot-marker-size - plt.scatter( - x["test"], - y["test"], - label=test_title, - color=test_color, - marker="s", - s=8, - ) - plt.scatter(x["ref"], y["ref"], label=ref_title, color=ref_color, marker="o", s=8) - for value_type in ["test", "ref"]: - if value_type == "test": - type_str = "Test" - type_color = test_color - x_range = (min(x["test"]), max(x["test"])) - else: - type_str = "Reference" - type_color = ref_color - x_range = (min(x["ref"]), max(x["ref"])) - # https://stackoverflow.com/questions/35091879/merge-2-arrays-vertical-to-tuple-numpy - # Two parallel lists of values - values = np.array((x[value_type], y[value_type])) - # Zip the values together (i.e., list of (x,y) instead of (list of x, list of y) - values = values.T - if y["var"] == "TAUX": - value_strs = [""] - else: - value_strs = ["positive ", "negative "] - for value_str in value_strs: - # https://stackoverflow.com/questions/24219841/numpy-where-on-a-2d-matrix - if value_str == "positive ": - # For all rows (x,y), choose the rows where x > 0 - rows = np.where(values[:, 0] > 0) - smaller_x_range = (0, x_range[1]) - linestyle = "-" - elif value_str == "negative ": - # For all rows (x,y), choose the rows where x < 0 - rows = np.where(values[:, 0] < 0) - smaller_x_range = (x_range[0], 0) - linestyle = "--" - elif value_str == "": - rows = None - smaller_x_range = x_range - linestyle = "-" - if rows: - # Get the filtered zip (list of (x,y) where x > 0 or x < 0) - filtered_values = values[rows] - else: - filtered_values = values - # Get the filtered parallel lists (i.e., (list of x, list of y)) - filtered_values = filtered_values.T - # https://stackoverflow.com/questions/19068862/how-to-overplot-a-line-on-a-scatter-plot-in-python - b, m = polyfit(filtered_values[0], filtered_values[1], 1) - label = "Linear fit for %sTS anomalies: %s (slope = %.2f)" % ( - value_str, - type_str, - m, - ) - ys = [b + m * x for x in smaller_x_range] - plt.plot( - smaller_x_range, - ys, - label=label, - color=type_color, - linestyle=linestyle, - ) - max_test = max(abs(min(y["test"])), abs(max(y["test"]))) - max_ref = max(abs(min(y["ref"])), abs(max(y["ref"]))) - max_value = max(max_test, max_ref) + 1 - plt.ylim(-max_value, max_value) - plt.xlabel("{} anomaly ({})".format(x["var"], x["units"])) - plt.ylabel("{} anomaly ({})".format(y["var"], y["units"])) - plt.legend() - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/enso_diags/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/enso_diags/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file is defined in e3sm_diags/driver/enso_diags_driver.py - # {parameter.results_dir}/enso_diags/{parameter.case_id}/{parameter.output_file} - file_path = os.path.join(output_dir, parameter.output_file) - # {parameter.orig_results_dir}/enso_diags/{parameter.case_id}/{parameter.output_file} - original_file_path = os.path.join(original_output_dir, parameter.output_file) - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.93, fontsize=15) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - - original_plot_file_path = original_file_path + plot_suffix - logger.info(f"Plot saved in: {original_plot_file_path}") - - plt.close() diff --git a/e3sm_diags/plot/enso_diags_plot.py b/e3sm_diags/plot/enso_diags_plot.py new file mode 100644 index 000000000..caca77906 --- /dev/null +++ b/e3sm_diags/plot/enso_diags_plot.py @@ -0,0 +1,379 @@ +from __future__ import annotations + +from typing import TYPE_CHECKING, List, Tuple + +import cartopy.crs as ccrs +import matplotlib +import numpy as np +import xarray as xr +import xcdat as xc +from numpy.polynomial.polynomial import polyfit + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.plot.utils import ( + DEFAULT_PANEL_CFG, + SECONDARY_TITLE_FONTSIZE, + _add_colorbar, + _add_contour_plot, + _configure_titles, + _configure_x_and_y_axes, + _get_c_levels_and_norm, + _get_x_ticks, + _get_y_ticks, + _make_lon_cyclic, + _save_plot, +) + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +if TYPE_CHECKING: + from e3sm_diags.driver.enso_diags_driver import ( + MetricsDictMap, + MetricsDictScatter, + MetricsSubDict, + ) + +logger = custom_logger(__name__) + +# Use 179.99 as central longitude due to https://github.com/SciTools/cartopy/issues/946 +PROJECTION = ccrs.PlateCarree(central_longitude=179.99) + + +def plot_scatter( + parameter: EnsoDiagsParameter, x: MetricsDictScatter, y: MetricsDictScatter +): + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.main_title, x=0.5, y=0.93, fontsize=15) + + test_color = "black" + ref_color = "red" + test_title = "Test" if parameter.test_title == "" else parameter.test_title + + if parameter.test_name_yrs: + test_title += " : {}".format(parameter.test_name_yrs) + + ref_title = ( + "Reference" if parameter.reference_title == "" else parameter.reference_title + ) + + if parameter.ref_name_yrs: + ref_title += " : {}".format(parameter.ref_name_yrs) + + plt.scatter( + x["test"], + y["test"], + label=test_title, + color=test_color, + marker="s", + s=8, + ) + plt.scatter(x["ref"], y["ref"], label=ref_title, color=ref_color, marker="o", s=8) + + for value_type in ["test", "ref"]: + if value_type == "test": + type_str = "Test" + type_color = test_color + x_range = (min(x["test"]), max(x["test"])) + else: + type_str = "Reference" + type_color = ref_color + x_range = (min(x["ref"]), max(x["ref"])) + + values = np.array((x[value_type], y[value_type])) # type: ignore + values = values.T + + if y["var"] == "TAUX": + value_strs = [""] + else: + value_strs = ["positive ", "negative "] + + for value_str in value_strs: + if value_str == "positive ": + # For all rows (x,y), choose the rows where x > 0 + rows = np.where(values[:, 0] > 0) + smaller_x_range = (0, x_range[1]) + linestyle = "-" + elif value_str == "negative ": + # For all rows (x,y), choose the rows where x < 0 + rows = np.where(values[:, 0] < 0) + smaller_x_range = (x_range[0], 0) + linestyle = "--" + elif value_str == "": + rows = None + smaller_x_range = x_range + linestyle = "-" + + if rows: + filtered_values = values[rows] + else: + filtered_values = values + + filtered_values = filtered_values.T + + b, m = polyfit(filtered_values[0], filtered_values[1], 1) + label = "Linear fit for %sTS anomalies: %s (slope = %.2f)" % ( + value_str, + type_str, + m, + ) + ys = [b + m * x for x in smaller_x_range] + + plt.plot( + smaller_x_range, + ys, + label=label, + color=type_color, + linestyle=linestyle, + ) + + max_test = max(abs(min(y["test"])), abs(max(y["test"]))) + max_ref = max(abs(min(y["ref"])), abs(max(y["ref"]))) + max_value = max(max_test, max_ref) + 1 + + plt.ylim(-max_value, max_value) + plt.xlabel("{} anomaly ({})".format(x["var"], x["units"])) + plt.ylabel("{} anomaly ({})".format(y["var"], y["units"])) + plt.legend() + + _save_plot(fig, parameter) + + plt.close() + + +def plot_map( + parameter: EnsoDiagsParameter, + da_test: xr.DataArray, + da_ref: xr.DataArray, + da_diff: xr.DataArray, + metrics_dict: MetricsDictMap, + da_test_conf_lvls: xr.DataArray, + da_ref_conf_lvls: xr.DataArray, +): + # Create figure + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.main_title, x=0.5, y=0.97, fontsize=15) + + # Use non-regridded test and ref for stats, so we have the original stats + # displayed + _add_colormap( + 0, + da_test, + fig, + parameter, + parameter.test_colormap, + parameter.contour_levels, + (parameter.test_name_yrs, parameter.test_title, da_test.units), + metrics_dict["test"], # type: ignore + conf=da_test_conf_lvls, + ) + _add_colormap( + 1, + da_ref, + fig, + parameter, + parameter.reference_colormap, + parameter.contour_levels, + (parameter.ref_name_yrs, parameter.reference_title, da_ref.units), + metrics_dict["ref"], # type: ignore + conf=da_ref_conf_lvls, + ) + _add_colormap( + 2, + da_diff, + fig, + parameter, + parameter.diff_colormap, + parameter.diff_levels, + (None, parameter.diff_title, da_test.units), + metrics_dict["diff"], # type: ignore + ) + + _save_plot(fig, parameter) + + plt.close() + + +def _add_colormap( + subplot_num: int, + var: xr.DataArray, + fig: plt.Figure, + parameter: EnsoDiagsParameter, + color_map: str, + contour_levels: List[float], + title: Tuple[str | None, str, str], + metrics: MetricsSubDict, + conf: xr.DataArray | None = None, +): + var = _make_lon_cyclic(var) + lat = xc.get_dim_coords(var, axis="Y") + lon = xc.get_dim_coords(var, axis="X") + + var = var.squeeze() + + # Configure contour levels and boundary norm. + # -------------------------------------------------------------------------- + c_levels, norm = _get_c_levels_and_norm(contour_levels) + + # Get region info and X and Y plot ticks. + # -------------------------------------------------------------------------- + region_key = parameter.regions[0] + region_specs = REGION_SPECS[region_key] + + # Get the region's domain slices for latitude and longitude if set, or + # use the default value. If both are not set, then the region type is + # considered "global". + lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore + lon_slice = region_specs.get("lon", (0, 360)) # type: ignore + + # Boolean flags for configuring plots. + is_global_domain = lat_slice == (-90, 90) and lon_slice == (0, 360) + is_lon_full = lon_slice == (0, 360) + + # Determine X and Y ticks using longitude and latitude domains respectively. + lon_west, lon_east = lon_slice + x_ticks = _get_x_ticks( + lon_west, + lon_east, + is_global_domain, + is_lon_full, + tick_step_func=_determine_tick_step, + ) + + lat_south, lat_north = lat_slice + y_ticks = _get_y_ticks(lat_south, lat_north, tick_step_func=_determine_tick_step) + + # Get the figure Axes object using the projection above. + # -------------------------------------------------------------------------- + ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=PROJECTION) + ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=PROJECTION) + contour_plot = _add_contour_plot( + ax, parameter, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels + ) + + if conf is not None: + conf = _make_lon_cyclic(conf) + conf = conf.squeeze() # type: ignore + + # Values in conf will be either 0 or 1. Thus, there are only two levels - + # represented by the no-hatching and hatching levels. + ax.contourf( + lon, + lat, + conf, + 2, + transform=ccrs.PlateCarree(), + norm=norm, + colors="none", + extend="both", + hatches=[None, "//"], + ) + + # Full world would be aspect 360/(2*180) = 1 + ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) + ax.coastlines(lw=0.3) + + # Place a vertical line in the middle of the plot - i.e. 180 degrees + ax.axvline(x=0.5, color="k", linewidth=0.5) + + # Configure the titles, x and y axes, and colorbar. + # -------------------------------------------------------------------------- + _configure_titles(ax, title) + _configure_x_and_y_axes( + ax, x_ticks, y_ticks, ccrs.PlateCarree(), parameter.current_set + ) + _add_colorbar( + fig, + subplot_num, + DEFAULT_PANEL_CFG, + contour_plot, + c_levels=c_levels, + rect=None, + c_label_fmt_and_pad_func=_get_contour_label_format_and_pad, + ) + + # Add metrics text to the figure. + # -------------------------------------------------------------------------- + metrics_values = tuple(metrics.values()) + top_text = "Max\nMin\nMean\nSTD" + fig.text( + DEFAULT_PANEL_CFG[subplot_num][0] + 0.6635, + DEFAULT_PANEL_CFG[subplot_num][1] + 0.2107, + top_text, + ha="left", + fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, + ) + fig.text( + DEFAULT_PANEL_CFG[subplot_num][0] + 0.7635, + DEFAULT_PANEL_CFG[subplot_num][1] + 0.2107, + "%.2f\n%.2f\n%.2f\n%.2f" % metrics_values, # type: ignore + ha="right", + fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, + ) + + # Hatch text + if conf is not None: + hatch_text = "Hatched when pvalue < 0.05" + fig.text( + DEFAULT_PANEL_CFG[subplot_num][0] + 0.25, + DEFAULT_PANEL_CFG[subplot_num][1] - 0.0355, + hatch_text, + ha="right", + fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, + ) + + +def _determine_tick_step(degrees_covered: float) -> int: + """Determine the number of tick steps based on the degrees covered by the axis. + + Parameters + ---------- + degrees_covered : float + The degrees covered by the axis. + + Returns + ------- + int + The number of tick steps. + """ + if degrees_covered > 180: + return 60 + if degrees_covered > 60: + return 30 + elif degrees_covered > 20: + return 10 + else: + return 1 + + +def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: + """Get the label format and padding for each contour level. + + Parameters + ---------- + c_levels : List[float] + The contour levels. + + Returns + ------- + Tuple[str, int] + A tuple for the label format and padding. + """ + maxval = np.amax(np.absolute(c_levels[1:-1])) + + if maxval < 1.0: + fmt = "%5.3f" + pad = 30 + elif maxval < 10.0: + fmt = "%5.2f" + pad = 25 + elif maxval < 100.0: + fmt = "%5.1f" + pad = 25 + else: + fmt = "%6.1f" + pad = 30 + + return fmt, pad diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index 5ffa65486..37481d69b 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -261,7 +261,7 @@ def _determine_tick_step(degrees_covered: float) -> int: """ if degrees_covered > 180: return 60 - if degrees_covered > 60: + elif degrees_covered > 60: return 30 elif degrees_covered > 30: return 10 @@ -449,6 +449,43 @@ def _configure_x_and_y_axes( ax.yaxis.set_major_formatter(lat_formatter) +def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: + """Get the label format and padding for each contour level. + + Parameters + ---------- + c_levels : List[float] + The contour levels. + + Returns + ------- + Tuple[str, int] + A tuple for the label format and padding. + """ + maxval = np.amax(np.absolute(c_levels[1:-1])) + + if maxval < 0.01: + fmt = "%.1e" + pad = 35 + elif maxval < 0.2: + fmt = "%5.3f" + pad = 28 + elif maxval < 10.0: + fmt = "%5.2f" + pad = 25 + elif maxval < 100.0: + fmt = "%5.1f" + pad = 25 + elif maxval > 9999.0: + fmt = "%.0f" + pad = 40 + else: + fmt = "%6.1f" + pad = 30 + + return fmt, pad + + def _add_colorbar( fig: plt.Figure, subplot_num: int, @@ -456,6 +493,7 @@ def _add_colorbar( contour_plot: mcontour.QuadContourSet, c_levels: List[float] | None, rect: Rect | None = None, + c_label_fmt_and_pad_func: Callable = _get_contour_label_format_and_pad, ): """Configure the colorbar on a colormap. @@ -476,6 +514,9 @@ def _add_colorbar( An optional adjustment to the dimensions (left, bottom, width, height) of the new `~.axes.Axes`. All quantities are in fractions of figure width and height. + c_label_fmt_and_pad_func : Callable + An optional function for configuring the contour level label format + and padding. """ cbax_rect = _get_rect(subplot_num, panel_configs, rect) cbax = fig.add_axes(cbax_rect) @@ -486,8 +527,9 @@ def _add_colorbar( else: cbar.set_ticks(c_levels[1:-1]) - label_format, pad = _get_contour_label_format_and_pad(c_levels) + label_format, pad = c_label_fmt_and_pad_func(c_levels) labels = [label_format % level for level in c_levels[1:-1]] + cbar.ax.set_yticklabels(labels, ha="right") cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) @@ -527,43 +569,6 @@ def _get_rect( ) -def _get_contour_label_format_and_pad(c_levels: List[float]) -> Tuple[str, int]: - """Get the label format and padding for each contour level. - - Parameters - ---------- - c_levels : List[float] - The contour levels. - - Returns - ------- - Tuple[str, int] - A tuple for the label format and padding. - """ - maxval = np.amax(np.absolute(c_levels[1:-1])) - - if maxval < 0.01: - fmt = "%.1e" - pad = 35 - elif maxval < 0.2: - fmt = "%5.3f" - pad = 28 - elif maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - elif maxval > 9999.0: - fmt = "%.0f" - pad = 40 - else: - fmt = "%6.1f" - pad = 30 - - return fmt, pad - - def _add_min_mean_max_text( fig: plt.Figure, subplot_num: int, diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index a329fef80..79bf48770 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -941,11 +941,11 @@ def test_returns_climo_dataset_using_climo_of_time_series_files(self): ds = Dataset(parameter, data_type="ref") result = ds.get_climo_dataset("ts", "ANN") - # Since the data is not sub-monthly, the first time coord (2001-01-01) - # is dropped when subsetting with the middle of the month (2000-01-15). - expected = self.ds_ts.isel(time=slice(1, 4)) + + expected = self.ds_ts.copy() expected["time"].data[:] = np.array( [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1190,11 +1190,10 @@ def test_returns_time_series_dataset_using_file(self): result = ds.get_time_series_dataset("ts") - # Since the data is not sub-monthly, the first time coord (2001-01-01) - # is dropped when subsetting with the middle of the month (2000-01-15). - expected = self.ds_ts.isel(time=slice(1, 4)) + expected = self.ds_ts.copy() expected["time"].data[:] = np.array( [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1248,9 +1247,10 @@ def test_returns_time_series_dataset_using_derived_var(self): ds = Dataset(parameter, data_type="ref") result = ds.get_time_series_dataset("PRECT") - expected = ds_pr.sel(time=slice("2000-02-01", "2001-01-01")) + expected = ds_pr.copy() expected["time"].data[:] = np.array( [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1287,10 +1287,11 @@ def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(sel result = ds.get_time_series_dataset("PRECST") expected = ds_precst.copy() - expected = ds_precst.sel(time=slice("2000-02-01", "2001-01-01")) + expected = ds_precst.copy() expected["PRECST"].attrs["units"] = "mm/s" expected["time"].data[:] = np.array( [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1341,9 +1342,10 @@ def test_returns_time_series_dataset_with_centered_time_if_non_sub_monthly_data( ds.is_sub_monthly = False result = ds.get_time_series_dataset("ts") - expected = self.ds_ts.isel(time=slice(1, 4)) + expected = self.ds_ts.copy() expected["time"].data[:] = np.array( [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1367,11 +1369,11 @@ def test_returns_time_series_dataset_using_file_with_ref_name_prepended(self): ds = Dataset(parameter, data_type="ref") result = ds.get_time_series_dataset("ts") - # Since the data is not sub-monthly, the first time coord (2001-01-01) - # is dropped when subsetting with the middle of the month (2000-01-15). - expected = ds_ts.isel(time=slice(1, 4)) + + expected = ds_ts.copy() expected["time"].data[:] = np.array( [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), @@ -1548,16 +1550,6 @@ def setup(self, tmp_path): self.ds_ts = xr.Dataset() self.ds_ts.to_netcdf(self.ts_path) - def test_raises_error_if_test_name_attrs_not_set_for_test_dataset(self): - param1 = _create_parameter_object( - "test", "climo", self.data_path, "2000", "2002" - ) - - ds1 = Dataset(param1, data_type="test") - - with pytest.raises(AttributeError): - ds1.get_name_yrs_attr("ANN") - def test_raises_error_if_season_arg_is_not_passed_for_climo_dataset(self): param1 = _create_parameter_object( "test", "climo", self.data_path, "2000", "2002" @@ -1569,16 +1561,6 @@ def test_raises_error_if_season_arg_is_not_passed_for_climo_dataset(self): with pytest.raises(ValueError): ds1.get_name_yrs_attr() - def test_raises_error_if_ref_name_attrs_not_set_ref_dataset(self): - param1 = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2002" - ) - - ds1 = Dataset(param1, data_type="ref") - - with pytest.raises(AttributeError): - ds1.get_name_yrs_attr("ANN") - def test_returns_test_name_and_yrs_averaged_attr_with_climo_dataset_using_short_test_name( self, ): @@ -1637,6 +1619,25 @@ def test_returns_only_test_name_attr_if_yrs_averaged_attr_not_found_with_climo_d assert result == expected + def test_returns_only_yrs_averaged_attr_if_test_name_not_set_with_climo_dataset( + self, + ): + param1 = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2002" + ) + param1.test_name = "" + param1.test_file = self.test_file + + # Write the climatology dataset out before function call. + ds_climo = self.ds_climo.copy() + ds_climo.to_netcdf(f"{self.data_path}/{param1.test_file}") + + ds1 = Dataset(param1, data_type="test") + result = ds1.get_name_yrs_attr("ANN") + expected = " (2000-2002)" + + assert result == expected + def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset_using_short_ref_name( self, ): @@ -1688,6 +1689,22 @@ def test_returns_ref_name_and_yrs_averaged_attr_with_climo_dataset_using_ref_nam assert result == expected + def test_returns_only_yrs_averaged_attr_if_ref_name_is_not_set_with_climo_dataset( + self, + ): + param = _create_parameter_object("ref", "climo", self.data_path, "2000", "2002") + param.ref_name = "" + param.ref_file = self.ref_file + + # Write the climatology dataset out before function call. + self.ds_climo.to_netcdf(f"{self.data_path}/{param.ref_file}") + + ds3 = Dataset(param, data_type="ref") + result = ds3.get_name_yrs_attr("ANN") + expected = " (2000-2002)" + + assert result == expected + def test_returns_test_name_and_years_averaged_as_single_string_with_timeseries_dataset( self, ): From 0da3a27720a1bf8cbcecc9ca06b5766f3049733e Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 26 Aug 2024 13:28:27 -0700 Subject: [PATCH 24/41] CDAT Migration Phase 2: Refactor `streamflow` set (#837) --- .../665-streamflow/regression_test_png.ipynb | 226 +++++ .../665-streamflow/run.cfg | 8 + .../665-streamflow/run_script.py | 12 + e3sm_diags/driver/streamflow_driver.py | 826 +++++++++--------- e3sm_diags/driver/utils/dataset_xr.py | 21 +- e3sm_diags/plot/cartopy/streamflow_plot.py | 731 ---------------- e3sm_diags/plot/streamflow_plot_map.py | 325 +++++++ e3sm_diags/plot/streamflow_plot_scatter.py | 122 +++ .../plot/streamflow_plot_seasonality.py | 343 ++++++++ 9 files changed, 1472 insertions(+), 1142 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/665-streamflow/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/665-streamflow/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/665-streamflow/run_script.py delete mode 100644 e3sm_diags/plot/cartopy/streamflow_plot.py create mode 100644 e3sm_diags/plot/streamflow_plot_map.py create mode 100644 e3sm_diags/plot/streamflow_plot_scatter.py create mode 100644 e3sm_diags/plot/streamflow_plot_seasonality.py diff --git a/auxiliary_tools/cdat_regression_testing/665-streamflow/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/665-streamflow/regression_test_png.ipynb new file mode 100644 index 000000000..38bf60542 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/665-streamflow/regression_test_png.ipynb @@ -0,0 +1,226 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"streamflow\"\n", + "SET_DIR = \"665-streamflow\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (3 and 3).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/665-streamflow/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/665-streamflow/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/665-streamflow/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png\n", + " * Plots are identical\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/665-streamflow/run.cfg b/auxiliary_tools/cdat_regression_testing/665-streamflow/run.cfg new file mode 100644 index 000000000..52099f57e --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/665-streamflow/run.cfg @@ -0,0 +1,8 @@ +[#] +sets = ["streamflow"] +case_id = "RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM" +variables = ["RIVER_DISCHARGE_OVER_LAND_LIQ"] +ref_name = "GSIM" +reference_name = "GSIM monthly streamflow" +regions = ["global"] +seasons = ["ANN"] diff --git a/auxiliary_tools/cdat_regression_testing/665-streamflow/run_script.py b/auxiliary_tools/cdat_regression_testing/665-streamflow/run_script.py new file mode 100644 index 000000000..20872c045 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/665-streamflow/run_script.py @@ -0,0 +1,12 @@ +# %% +# python -m auxiliary_tools.cdat_regression_testing.665-streamflow.run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "streamflow" +SET_DIR = "665-streamflow" +CFG_PATH: str | None = None +# CFG_PATH: str | None = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/665-streamflow/run.cfg" +MULTIPROCESSING = True + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/driver/streamflow_driver.py b/e3sm_diags/driver/streamflow_driver.py index 13810780b..9be199f10 100644 --- a/e3sm_diags/driver/streamflow_driver.py +++ b/e3sm_diags/driver/streamflow_driver.py @@ -1,21 +1,18 @@ from __future__ import annotations import csv -import os -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, List, Tuple -import cdms2 -import cdutil -import numpy +import numpy as np import scipy.io +import xarray as xr +import xcdat as xc -from e3sm_diags.driver import utils +from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy.streamflow_plot import ( - plot_annual_map, - plot_annual_scatter, - plot_seasonality_map, -) +from e3sm_diags.plot.streamflow_plot_map import plot_annual_map +from e3sm_diags.plot.streamflow_plot_scatter import plot_annual_scatter +from e3sm_diags.plot.streamflow_plot_seasonality import plot_seasonality_map logger = custom_logger(__name__) @@ -23,405 +20,287 @@ from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter -def get_drainage_area_error( - radius, resolution, lon_ref, lat_ref, area_upstream, area_ref -): - k_bound = len(range(-radius, radius + 1)) - k_bound *= k_bound - area_test = numpy.zeros((k_bound, 1)) - error_test = numpy.zeros((k_bound, 1)) - lat_lon_test = numpy.zeros((k_bound, 2)) - k = 0 - for i in range(-radius, radius + 1): - for j in range(-radius, radius + 1): - x = int( - 1 + ((lon_ref + j * resolution) - (-180 + resolution / 2)) / resolution - ) - y = int( - 1 + ((lat_ref + i * resolution) - (-90 + resolution / 2)) / resolution - ) - area_test[k] = area_upstream[x - 1, y - 1] / 1000000 - error_test[k] = numpy.abs(area_test[k] - area_ref) / area_ref - lat_lon_test[k, 0] = lat_ref + i * resolution - lat_lon_test[k, 1] = lon_ref + j * resolution - k += 1 - # The id of the center grid in the searching area - center_id = (k_bound - 1) / 2 +# Resolution of MOSART output. +RESOLUTION = 0.5 +# Search radius (number of grids around the center point). +SEARCH_RADIUS = 1 +# The max area error (percent) for all plots. +MAX_AREA_ERROR = 20 - lat_lon_ref = [lat_ref, lon_ref] - drainage_area_error = error_test[int(center_id)] - return drainage_area_error, lat_lon_ref +def run_diag(parameter: StreamflowParameter) -> StreamflowParameter: + """Get metrics for the streamflow set. -def get_seasonality(monthly): - monthly = monthly.astype(numpy.float64) - # See https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2018MS001603 Equations 1 and 2 - if monthly.shape[0] != 12: - raise Exception( - "monthly.shape={} does not include 12 months".format(monthly.shape) - ) - num_years = monthly.shape[1] - p_k = numpy.zeros((12, 1)) - # The total streamflow for each year (sum of Q_ij in the denominator of Equation 1, for all j) - # 1 x num_years - total_streamflow = numpy.sum(monthly, axis=0) - for month in range(12): - # The streamflow for this month in each year (Q_ij in the numerator of Equation 1, for all j) - # 1 x num_years - streamflow_month_all_years = monthly[month, :] - # Proportion that this month contributes to streamflow that year. - # 1 x num_years - # For all i, divide streamflow_month_all_years[i] by total_streamflow[i] - streamflow_proportion = numpy.divide( - streamflow_month_all_years, total_streamflow + Parameters + ---------- + parameter : StreamflowParameter + The parameter for the diagnostic. + + Returns + ------- + StreamflowParameter + The parameter for the diagnostic with the result (completed or failed). + """ + gauges, is_ref_mat_file = _get_gauges(parameter) + + for var_key in parameter.variables: + logger.info(f"Variable: {var_key}") + + test_array, area_upstream = _get_test_data_and_area_upstream(parameter, var_key) + ref_array = _get_ref_data(parameter, var_key, is_ref_mat_file) + + export_data = _generate_export_data( + parameter, gauges, test_array, ref_array, area_upstream, is_ref_mat_file ) - # The sum is the sum over j in Equation 1. - # Dividing the sum of proportions by num_years gives the *average* proportion of annual streamflow during - # this month. - # Multiplying by 12 makes it so that Pk_i (`p_k[month]`) will be 1 if all months have equal streamflow and - # 12 if all streamflow occurs in one month. - # These steps produce the 12/n factor in Equation 1. - p_k[month] = numpy.nansum(streamflow_proportion) * 12 / num_years - # From Equation 2 - seasonality_index = numpy.max(p_k) - # `p_k == numpy.max(p_k)` produces a Boolean matrix, True if the value (i.e., streamflow) is the max value. - # `np.where(p_k == numpy.max(p_k))` produces the indices (i.e., months) where the max value is reached. - peak_month = numpy.where(p_k == numpy.max(p_k))[0] - # If more than one month has peak streamflow, simply define the peak month as the first one of the peak months. - # Month 0 is January, Month 1 is February, and so on. - peak_month = peak_month[0] - return seasonality_index, peak_month + if parameter.test_title == "": + parameter.test_title = parameter.test_name_yrs + if parameter.reference_title == "": + parameter.reference_title = parameter.ref_name_yrs + + # Plot the original ref and test (not regridded versions). + plot_seasonality_map(parameter, export_data) + plot_annual_map(parameter, export_data) + plot_annual_scatter(parameter, export_data) + + return parameter + + +def _get_gauges(parameter: StreamflowParameter) -> Tuple[np.ndarray, bool]: + """Get the gauges. + + Assume `model_vs_model` is an `nc` file and `model_vs_obs` is an `mat` file. + If `model_vs_obs`, the metadata file of GSIM that has observed gauge lat lon + and drainage area. This file includes 25765 gauges, which is a subset of the + entire dataset (30959 gauges). The removed gauges are associated with very + small drainage area (<1km2), which is not meaningful to be included. + + Parameters + ---------- + parameter : StreamflowParameter + The parameter. + + Returns + ------- + Tuple[np.ndarray, bool] + A tuple containing the gauges array and a boolean representing whether + the reference file is a mat file (True) or not (False). + + Raises + ------ + RuntimeError + Non-GSIM reference file specified without using parameter `.gauges_path` + attribute. + RuntimeError + Parameter run type is not supported. + """ + ref_path = parameter.reference_data_path.rstrip("/") -def run_diag(parameter: StreamflowParameter) -> StreamflowParameter: - # Assume `model` will always be a `nc` file. - # Assume `obs` will always be a `mat` file. - using_test_mat_file = False if parameter.run_type == "model_vs_model": - using_ref_mat_file = False + is_ref_mat_file = False + if parameter.gauges_path is None: - raise Exception( - "To use a non-GSIM reference, please specify streamflow_param.gauges_path. This might be {}/{}".format( - parameter.reference_data_path.rstrip("/"), - "GSIM/GSIM_catchment_characteristics_all_1km2.csv", - ) + raise RuntimeError( + "To use a non-GSIM reference, please specify streamflow_param.gauges_path. " + f"This might be {ref_path}/GSIM/GSIM_catchment_characteristics_all_1km2.csv" ) + else: gauges_path = parameter.gauges_path elif parameter.run_type == "model_vs_obs": - using_ref_mat_file = True - # The metadata file of GSIM that has observed gauge lat lon and drainage area - # This file includes 25765 gauges, which is a subset of the entire - # dataset (30959 gauges). The removed gauges are associated with very - # small drainage area (<1km2), which is not meaningful to be included. - gauges_path = "{}/GSIM/GSIM_catchment_characteristics_all_1km2.csv".format( - parameter.reference_data_path.rstrip("/") - ) + is_ref_mat_file = True + gauges_path = f"{ref_path}/GSIM/GSIM_catchment_characteristics_all_1km2.csv" else: - raise Exception( - "parameter.run_type={} not supported".format(parameter.run_type) - ) + raise RuntimeError(f"parameter.run_type={parameter.run_type} not supported") # Set path to the gauge metadata with open(gauges_path) as gauges_file: gauges_list = list(csv.reader(gauges_file)) + # Remove headers gauges_list.pop(0) - gauges = numpy.array(gauges_list) - if parameter.print_statements: - logger.info("gauges.shape={}".format(gauges.shape)) - - variables = parameter.variables - for var in variables: - ref_array = setup_ref(parameter, var, using_ref_mat_file) - area_upstream, test_array = setup_test(parameter, var, using_test_mat_file) - - # Resolution of MOSART output - resolution = 0.5 - # Search radius (number of grids around the center point) - radius = 1 - bins = numpy.floor(gauges[:, 7:9].astype(numpy.float64) / resolution) - # Move the ref lat lon to grid center - lat_lon = (bins + 0.5) * resolution - if parameter.print_statements: - logger.info("lat_lon.shape={}".format(lat_lon.shape)) - - # Define the export matrix - export = generate_export( - parameter, - lat_lon, - area_upstream, - gauges, - radius, - resolution, - using_ref_mat_file, - ref_array, - test_array, - ) + gauges = np.array(gauges_list) - # Remove the gauges with nan flow - # `export[:,0]` => get first column of export - # `numpy.isnan(export[:,0])` => Boolean column, True if value in export[x,0] is nan - # `export[numpy.isnan(export[:,0]),:]` => rows of `export` where the Boolean column was True - # Gauges will thus only be plotted if they have a non-nan value for both test and ref. - if parameter.print_statements: - logger.info( - "export.shape before removing ref nan means={}".format(export.shape) - ) - export = export[~numpy.isnan(export[:, 0]), :] - if parameter.print_statements: - logger.info( - "export.shape before removing test nan means={}".format(export.shape) - ) - export = export[~numpy.isnan(export[:, 1]), :] - if parameter.print_statements: - logger.info("export.shape after both nan removals={}".format(export.shape)) - - if area_upstream is not None: - # Set the max area error (percent) for all plots - max_area_error = 20 - # `export[:,2]` gives the third column of `export` - # `export[:,2]<=max_area_error` gives a Boolean array, - # `True` if the value in the third column of `export` is `<= max_area_error` - # `export[export[:,2]<=max_area_error,:]` is `export` with only the rows where the above is `True`. - export = export[export[:, 2] <= max_area_error, :] - if parameter.print_statements: - logger.info( - "export.shape after max_area_error cut={}".format(export.shape) - ) + return gauges, is_ref_mat_file - if parameter.print_statements: - logger.info("Variable: {}".format(var)) - if parameter.test_title == "": - parameter.test_title = parameter.test_name_yrs - if parameter.reference_title == "": - parameter.reference_title = parameter.ref_name_yrs +def _get_test_data_and_area_upstream( + parameter: StreamflowParameter, var_key: str +) -> Tuple[np.ndarray, np.ndarray]: + """Set up the test data. - # Seasonality - # Plot original ref and test, not regridded versions. - plot_seasonality_map(export, parameter) + Parameters + ---------- + parameter : StreamflowParameter + The parameter. + var_key : str + The key of the variable. - # Bias between test and ref as a percentage - # (Relative error as a percentage) - # 100*((annual_mean_test - annual_mean_ref) / annual_mean_ref) - bias = 100 * ((export[:, 1] - export[:, 0]) / export[:, 0]) - plot_annual_map(export, bias, parameter) + Returns + ------- + Tuple[np.ndarray, np.ndarray] + The test data and area upstream. + """ + test_ds = Dataset(parameter, data_type="test") + parameter.test_name_yrs = test_ds.get_name_yrs_attr() - # Scatterplot - # These arrays will have fewer entries than the original `export` matrix - # because of the nan removal steps. - xs = export[:, 0] - ys = export[:, 1] - zs = export[:, 2] - plot_annual_scatter(xs, ys, zs, parameter) + ds_test = test_ds.get_time_series_dataset(var_key) + + test_array = _get_var_data(ds_test, var_key) + + areatotal2 = ds_test["areatotal2"].values + area_upstream = np.transpose(areatotal2, (1, 0)).astype(np.float64) + + return test_array, area_upstream - return parameter +def _get_ref_data( + parameter: StreamflowParameter, var_key: str, is_ref_mat_file: bool +) -> np.ndarray: + """Set up the reference data. -def setup_ref(parameter, var, using_ref_mat_file): - if not using_ref_mat_file: - ref_data = utils.dataset.Dataset(parameter, ref=True) - parameter.ref_name_yrs = utils.general.get_name_and_yrs(parameter, ref_data) - ref_data_ts = ref_data.get_timeseries_variable(var) - var_array = ref_data_ts(cdutil.region.domain(latitude=(-90.0, 90, "ccb"))) - if parameter.print_statements: - logger.info("ref var original dimensions={}".format(var_array.shape)) - var_transposed = numpy.transpose(var_array, (2, 1, 0)) - if parameter.print_statements: - logger.info("ref var transposed dimensions={}".format(var_transposed.shape)) - ref_array = var_transposed.astype(numpy.float64) + Parameters + ---------- + parameter : StreamflowParameter + The parameter. + var_key : str + The key of the variable. + is_ref_mat_file : bool + If the reference data is from a mat file (True) or not (False). + + Returns + ------- + np.ndarray + The reference data. + """ + ref_ds = Dataset(parameter, data_type="ref") + + if not is_ref_mat_file: + parameter.ref_name_yrs = ref_ds.get_name_yrs_attr() + + ds_ref = ref_ds.get_time_series_dataset(var_key) + ref_array = _get_var_data(ds_ref, var_key) else: # Load the observed streamflow dataset (GSIM) # the data has been reorganized to a 1380 * 30961 matrix. 1380 is the month # number from 1901.1 to 2015.12. 30961 include two columns for year and month plus # streamflow at 30959 gauge locations reported by GSIM - ref_mat_file = "{}/GSIM/GSIM_198601_199512.mat".format( - parameter.reference_data_path.rstrip("/") - ) - if parameter.short_ref_name != "": - ref_name = parameter.short_ref_name - elif parameter.reference_name != "": - # parameter.ref_name is used to search though the reference data directories. - # parameter.reference_name is printed above ref plots. - ref_name = parameter.reference_name - else: - ref_name = "GSIM" - parameter.ref_name_yrs = "{} ({}-{})".format( - ref_name, parameter.ref_start_yr, parameter.ref_end_yr - ) + ref_path = parameter.reference_data_path.rstrip("/") + ref_mat_file = f"{ref_path}/GSIM/GSIM_198601_199512.mat" + parameter.ref_name_yrs = ref_ds.get_name_yrs_attr(default_name="GSIM") + ref_mat = scipy.io.loadmat(ref_mat_file) - ref_array = ref_mat["GSIM"].astype(numpy.float64) - if parameter.print_statements: - # GSIM: 1380 x 30961 - # wrmflow: 720 x 360 x 360 - logger.info("ref_array.shape={}".format(ref_array.shape)) + ref_array = ref_mat["GSIM"].astype(np.float64) return ref_array -def setup_test(parameter, var, using_test_mat_file): - # Load E3SM simulated streamflow dataset - if not using_test_mat_file: - # `Dataset` will take the time slice from test_start_yr to test_end_yr - test_data = utils.dataset.Dataset(parameter, test=True) - parameter.test_name_yrs = utils.general.get_name_and_yrs(parameter, test_data) - test_data_ts = test_data.get_timeseries_variable(var) - var_array = test_data_ts(cdutil.region.domain(latitude=(-90.0, 90, "ccb"))) - if parameter.print_statements: - logger.info("test var original dimensions={}".format(var_array.shape)) - var_transposed = numpy.transpose(var_array, (2, 1, 0)) - if parameter.print_statements: - logger.info( - "test var transposed dimensions={}".format(var_transposed.shape) - ) - test_array = var_transposed.astype(numpy.float64) - areatotal2 = test_data.get_static_variable("areatotal2", var) - area_upstream = numpy.transpose(areatotal2, (1, 0)).astype(numpy.float64) - if parameter.print_statements: - logger.info("area_upstream dimensions={}".format(area_upstream.shape)) - else: - area_upstream, test_array = debugging_case_setup_test(parameter) - if parameter.print_statements: - # For edison: 720x360x600 - logger.info("test_array.shape={}".format(test_array.shape)) - if isinstance(area_upstream, cdms2.tvariable.TransientVariable): - area_upstream = area_upstream.getValue() - - return area_upstream, test_array - - -def debugging_case_setup_test(parameter): - # This block is only for debugging -- i.e., when testing with a `mat` file. - files_in_test_data_path = os.listdir(parameter.test_data_path) - mat_files = list( - filter( - lambda file_name: file_name.endswith(".mat"), - files_in_test_data_path, - ) - ) - if len(mat_files) == 1: - mat_file = mat_files[0] - elif len(mat_files) > 1: - raise Exception( - "More than one .mat file in parameter.test_data_path={}".format( - parameter.test_data_path - ) - ) - else: - raise Exception( - "No .mat file in parameter.test_data_path={}".format( - parameter.test_data_path - ) - ) - test_mat_file = "{}/{}".format(parameter.test_data_path.rstrip("/"), mat_file) - parameter.test_name_yrs = "{} ({}-{})".format( - test_mat_file, parameter.test_start_yr, parameter.test_end_yr - ) - data_mat = scipy.io.loadmat(test_mat_file) - e3sm_flow = get_e3sm_flow(parameter, data_mat) - area_upstream = get_area_upstream(parameter, e3sm_flow) - test_array = get_test_array(parameter, e3sm_flow) - return area_upstream, test_array - - -def get_e3sm_flow(parameter, data_mat): - if "E3SMflow" in data_mat.keys(): - # `edison` file uses this block - e3sm_flow = data_mat["E3SMflow"] - if parameter.print_statements: - logger.info('e3sm_flow = data_mat["E3SMflow"]') - else: - # `test` file uses this block - e3sm_flow = data_mat - if parameter.print_statements: - logger.info("e3sm_flow = data_mat") - return e3sm_flow - - -def get_area_upstream(parameter, e3sm_flow): - try: - if e3sm_flow["uparea"].shape == (1, 1): - # `edison` file uses this block - area_upstream = e3sm_flow["uparea"][0][0].astype(numpy.float64) - if parameter.print_statements: - logger.info('e3sm_flow["uparea"] was indexed into for later use') - else: - area_upstream = e3sm_flow["uparea"].astype(numpy.float64) - if parameter.print_statements: - logger.info('e3sm_flow["uparea"] will be used') - except KeyError: - # `test` file uses this block - area_upstream = None - if parameter.print_statements: - logger.warning("WARNING: uparea not found and will thus not be used") - return area_upstream - - -def get_test_array(parameter, e3sm_flow): - if e3sm_flow["wrmflow"].shape == (1, 1): - # `edison` file uses this block - test_array = e3sm_flow["wrmflow"][0][0].astype(numpy.float64) - if parameter.print_statements: - logger.info('e3sm_flow["wrmflow"] was indexed into for later use') - else: - # `test` file uses this block - test_array = e3sm_flow["wrmflow"].astype(numpy.float64) - if parameter.print_statements: - logger.info('e3sm_flow["wrmflow"] will be used') +def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray: + """Get the variable data then subset on latitude and transpose. + + Parameters + ---------- + ds : xr.Dataset + The dataset object. + var_key : str + The key of the variable. + + Returns + ------- + np.ndarray + The variable data. + """ + da_var = ds[var_key].copy() + lat_dim = xc.get_dim_keys(da_var, axis="Y") + + da_var_reg = da_var.sel({lat_dim: slice(-90, 90)}) + var_transposed = np.transpose(da_var_reg.values, (2, 1, 0)) + test_array = var_transposed.astype(np.float64) + return test_array -def generate_export( - parameter, - lat_lon, - area_upstream, - gauges, - radius, - resolution, - using_ref_mat_file, - ref_array, - test_array, -): - # Annual mean of test, annual mean of ref, error for area, lat, lon - export = numpy.zeros((lat_lon.shape[0], 9)) - if parameter.print_statements: - logger.info("export.shape={}".format(export.shape)) +def _generate_export_data( + parameter: StreamflowParameter, + gauges: np.ndarray, + test_array: np.ndarray, + ref_array: np.ndarray, + area_upstream: np.ndarray, + is_ref_mat_file: bool, +) -> np.ndarray: + """Generate the export data. + + Parameters + ---------- + parameter : StreamflowParameter + The parameter. + gauges : np.ndarray + The gauges. + test_array : np.ndarray + The test data. + ref_array : np.ndarray + The reference data. + area_upstream : np.ndarray + The area upstream. + is_ref_mat_file : bool + If the reference data is a mat file or not. + + Returns + ------- + np.ndarray + The export data as a 2D array with the format: + - col 0: year + - col 1: month + - [i, 0]: annual mean for reference data + - [i, 1]: annual mean for test data + - [i, 2]: percentage of drainage area bias + - [i, 3]: seasonality index of reference data + - [i, 4]: peak month flow of reference data + - [i, 5]: seasonality index of test data + - [i, 6]: peak month flow of test data + - [i, 7:9]: Lat lon index of reference data. + Notes + ----- + TODO: This function should be refactored to make it readable and + maintainable. The number of code comments suggest that the code is not + understandable and needs to be explained line by line. + """ + # Center the reference lat lon to the grid center and use it + # to create the shape for the export data array. + bins = np.floor(gauges[:, 7:9].astype(np.float64) / RESOLUTION) + lat_lon = (bins + 0.5) * RESOLUTION + + export_data = np.zeros((lat_lon.shape[0], 9)) + for i in range(lat_lon.shape[0]): - if parameter.print_statements and (i % 1000 == 0): - logger.info("On gauge #{}".format(i)) if parameter.max_num_gauges and i >= parameter.max_num_gauges: break + lat_ref = lat_lon[i, 1] lon_ref = lat_lon[i, 0] + # Estimated drainage area (km^2) from ref - area_ref = gauges[i, 13].astype(numpy.float64) - - if area_upstream is not None: - drainage_area_error, lat_lon_ref = get_drainage_area_error( - radius, - resolution, - lon_ref, - lat_ref, - area_upstream, - area_ref, - ) - else: - # Use the center location - lat_lon_ref = [lat_ref, lon_ref] - if using_ref_mat_file: - origin_id = gauges[i, 1].astype(numpy.int64) + area_ref = gauges[i, 13].astype(np.float64) + drainage_area_error, lat_lon_ref = _get_drainage_area_error( + lon_ref, + lat_ref, + area_upstream, + area_ref, + ) + + if is_ref_mat_file: + origin_id = gauges[i, 1].astype(np.int64) # Column 0 -- year # Column 1 -- month # Column origin_id + 1 -- the ref streamflow from gauge with the corresponding origin_id extracted = ref_array[:, [0, 1, origin_id + 1]] - monthly_mean = numpy.zeros((12, 1)) + numpy.nan + monthly_mean = np.zeros((12, 1)) + np.nan # For GSIM, shape is (1380,) month_array = extracted[:, 1] for month in range(12): # Add 1 to month to account for the months being 1-indexed month_array_boolean = month_array == month + 1 - s = numpy.sum(month_array_boolean) + s = np.sum(month_array_boolean) if s > 0: # `extracted[:,1]`: for all x, examine `extracted[x,1]` # `extracted[:,1] == m`: Boolean array where 0 means the item in position [x,1] is NOT m, @@ -438,97 +317,232 @@ def generate_export( # [1]] # a[a[:,1] == 2, 2]: [[3], # [3]] - monthly_mean[month] = numpy.nanmean( - extracted[month_array_boolean, 2] - ) + monthly_mean[month] = np.nanmean(extracted[month_array_boolean, 2]) # This is ref annual mean streamflow - annual_mean_ref = numpy.mean(monthly_mean) - if using_ref_mat_file and numpy.isnan(annual_mean_ref): + annual_mean_ref = np.mean(monthly_mean) + if is_ref_mat_file and np.isnan(annual_mean_ref): # All elements of row i will be nan - export[i, :] = numpy.nan + export_data[i, :] = np.nan else: - if using_ref_mat_file: + if is_ref_mat_file: # Reshape extracted[:,2] into a 12 x ? matrix; -1 means to # calculate the size of the missing dimension. - # Note that `numpy.reshape(extracted[:, 2], (12,-1))` will not work. + # Note that `np.reshape(extracted[:, 2], (12,-1))` will not work. # We do need to go from (12n x 1) to (12 x n). # `reshape` alone would make the first row [January of year 1, February of year 1,...] # (i.e., 12 sequential rows with n entries) # We actually want the first row to be [January of year 1, January of year 2,...] # (i.e., n sequential columns with 12 entries) # So, we use `reshape` to slice into n segments of length 12 and then we `transpose`. - mmat = numpy.transpose(numpy.reshape(extracted[:, 2], (-1, 12))) - mmat_id = numpy.sum(mmat, axis=0).transpose() - if numpy.sum(~numpy.isnan(mmat_id), axis=0) > 0: + mmat = np.transpose(np.reshape(extracted[:, 2], (-1, 12))) + mmat_id = np.sum(mmat, axis=0).transpose() + if np.sum(~np.isnan(mmat_id), axis=0) > 0: # There's at least one year of record - monthly = mmat[:, ~numpy.isnan(mmat_id)] + monthly = mmat[:, ~np.isnan(mmat_id)] else: monthly = monthly_mean - seasonality_index_ref, peak_month_ref = get_seasonality(monthly) + seasonality_index_ref, peak_month_ref = _get_seasonality(monthly) else: ref_lon = int( - 1 + (lat_lon_ref[1] - (-180 + resolution / 2)) / resolution + 1 + (lat_lon_ref[1] - (-180 + RESOLUTION / 2)) / RESOLUTION ) ref_lat = int( - 1 + (lat_lon_ref[0] - (-90 + resolution / 2)) / resolution + 1 + (lat_lon_ref[0] - (-90 + RESOLUTION / 2)) / RESOLUTION ) - ref = numpy.squeeze(ref_array[ref_lon - 1, ref_lat - 1, :]) - # Note that `numpy.reshape(ref, (12,-1))` will not work. + ref = np.squeeze(ref_array[ref_lon - 1, ref_lat - 1, :]) + # Note that `np.reshape(ref, (12,-1))` will not work. # We do need to go from (12n x 1) to (12 x n). # `reshape` alone would make the first row [January of year 1, February of year 1,...] # (i.e., 12 sequential rows with n entries) # We actually want the first row to be [January of year 1, January of year 2,...] # (i.e., n sequential columns with 12 entries) # So, we use `reshape` to slice into n segments of length 12 and then we `transpose`. - mmat = numpy.transpose(numpy.reshape(ref, (-1, 12))) - monthly_mean_ref = numpy.nanmean(mmat, axis=1) - annual_mean_ref = numpy.mean(monthly_mean_ref) - if numpy.isnan(annual_mean_ref) == 1: + mmat = np.transpose(np.reshape(ref, (-1, 12))) + monthly_mean_ref = np.nanmean(mmat, axis=1) + annual_mean_ref = np.mean(monthly_mean_ref) + if np.isnan(annual_mean_ref) == 1: # The identified grid is in the ocean - monthly = numpy.ones((12, 1)) + monthly = np.ones((12, 1)) else: monthly = mmat - if isinstance(monthly, cdms2.tvariable.TransientVariable): - monthly = monthly.getValue() + seasonality_index_ref, peak_month_ref = _get_seasonality(monthly) - seasonality_index_ref, peak_month_ref = get_seasonality(monthly) - - test_lon = int(1 + (lat_lon_ref[1] - (-180 + resolution / 2)) / resolution) - test_lat = int(1 + (lat_lon_ref[0] - (-90 + resolution / 2)) / resolution) + test_lon = int(1 + (lat_lon_ref[1] - (-180 + RESOLUTION / 2)) / RESOLUTION) + test_lat = int(1 + (lat_lon_ref[0] - (-90 + RESOLUTION / 2)) / RESOLUTION) # For edison: 600x1 - test = numpy.squeeze(test_array[test_lon - 1, test_lat - 1, :]) + test = np.squeeze(test_array[test_lon - 1, test_lat - 1, :]) # For edison: 12x50 - # Note that `numpy.reshape(test, (12,-1))` will not work. + # Note that `np.reshape(test, (12,-1))` will not work. # We do need to go from (12n x 1) to (12 x n). # `reshape` alone would make the first row [January of year 1, February of year 1,...] # (i.e., 12 sequential rows with n entries) # We actually want the first row to be [January of year 1, January of year 2,...] # (i.e., n sequential columns with 12 entries) # So, we use `reshape` to slice into n segments of length 12 and then we `transpose`. - mmat = numpy.transpose(numpy.reshape(test, (-1, 12))) - monthly_mean_test = numpy.nanmean(mmat, axis=1) - annual_mean_test = numpy.mean(monthly_mean_test) - if numpy.isnan(annual_mean_test) == 1: + mmat = np.transpose(np.reshape(test, (-1, 12))) + monthly_mean_test = np.nanmean(mmat, axis=1) + annual_mean_test = np.mean(monthly_mean_test) + + if np.isnan(annual_mean_test) == 1: # The identified grid is in the ocean - monthly = numpy.ones((12, 1)) + monthly = np.ones((12, 1)) else: monthly = mmat - if isinstance(monthly, cdms2.tvariable.TransientVariable): - monthly = monthly.getValue() - - seasonality_index_test, peak_month_test = get_seasonality(monthly) - - export[i, 0] = annual_mean_ref - export[i, 1] = annual_mean_test - if area_upstream is not None: - export[i, 2] = ( - drainage_area_error * 100 - ) # From fraction to percentage of the drainage area bias - export[i, 3] = seasonality_index_ref # Seasonality index of ref - export[i, 4] = peak_month_ref # Max flow month of ref - export[i, 5] = seasonality_index_test # Seasonality index of test - export[i, 6] = peak_month_test # Max flow month of test - export[i, 7:9] = lat_lon_ref # latlon of ref - return export + seasonality_index_test, peak_month_test = _get_seasonality(monthly) + + # TODO: The export data structure should be turned into a dict. + export_data[i, 0] = annual_mean_ref + export_data[i, 1] = annual_mean_test + # Convert from fraction to percetange. + export_data[i, 2] = drainage_area_error * 100 + export_data[i, 3] = seasonality_index_ref + export_data[i, 4] = peak_month_ref + export_data[i, 5] = seasonality_index_test + export_data[i, 6] = peak_month_test + export_data[i, 7:9] = lat_lon_ref + + export_data = _remove_gauges_with_nan_flow(export_data, area_upstream) + + return export_data + + +def _get_drainage_area_error( + lon_ref: float, lat_ref: float, area_upstream: np.ndarray, area_ref: float +) -> Tuple[np.ndarray, List[float]]: + """Get the drainage area error. + + Parameters + ---------- + lon_ref : float + The reference longitude. + lat_ref : float + The reference latitude. + area_upstream : np.ndarray + The area upstream. + area_ref : float + The reference area. + + Returns + ------- + Tuple[np.ndarray, list[float, float]] + _description_ + """ + k_bound = len(range(-SEARCH_RADIUS, SEARCH_RADIUS + 1)) + k_bound *= k_bound + + area_test = np.zeros((k_bound, 1)) + error_test = np.zeros((k_bound, 1)) + lat_lon_test = np.zeros((k_bound, 2)) + k = 0 + + for i in range(-SEARCH_RADIUS, SEARCH_RADIUS + 1): + for j in range(-SEARCH_RADIUS, SEARCH_RADIUS + 1): + x = int( + 1 + ((lon_ref + j * RESOLUTION) - (-180 + RESOLUTION / 2)) / RESOLUTION + ) + y = int( + 1 + ((lat_ref + i * RESOLUTION) - (-90 + RESOLUTION / 2)) / RESOLUTION + ) + area_test[k] = area_upstream[x - 1, y - 1] / 1000000 + error_test[k] = np.abs(area_test[k] - area_ref) / area_ref + lat_lon_test[k, 0] = lat_ref + i * RESOLUTION + lat_lon_test[k, 1] = lon_ref + j * RESOLUTION + k += 1 + + # The id of the center grid in the searching area + center_id = (k_bound - 1) / 2 + + lat_lon_ref = [lat_ref, lon_ref] + drainage_area_error = error_test[int(center_id)] + + return drainage_area_error, lat_lon_ref + + +def _get_seasonality(monthly: np.ndarray) -> Tuple[int, float]: + """Get the seasonality. + + Parameters + ---------- + monthly : np.ndarray + The monthly data. + + Returns + ------- + Tuple[int, float] + A tuple including the seasonality index and the peak flow month. + + Raises + ------ + RuntimeError + If the monthly data does not include 12 months. + """ + monthly = monthly.astype(np.float64) + + # See https://agupubs.onlinelibrary.wiley.com/doi/epdf/10.1029/2018MS001603 Equations 1 and 2 + if monthly.shape[0] != 12: + raise RuntimeError(f"monthly.shape={monthly.shape} does not include 12 months.") + + num_years = monthly.shape[1] + p_k = np.zeros((12, 1)) + + # The total streamflow for each year (sum of Q_ij in the denominator of Equation 1, for all j) + # 1 x num_years + total_streamflow = np.sum(monthly, axis=0) + for month in range(12): + # The streamflow for this month in each year (Q_ij in the numerator of Equation 1, for all j) + # 1 x num_years + streamflow_month_all_years = monthly[month, :] + # Proportion that this month contributes to streamflow that year. + # 1 x num_years + # For all i, divide streamflow_month_all_years[i] by total_streamflow[i] + streamflow_proportion = np.divide(streamflow_month_all_years, total_streamflow) + # The sum is the sum over j in Equation 1. + # Dividing the sum of proportions by num_years gives the *average* proportion of annual streamflow during + # this month. + # Multiplying by 12 makes it so that Pk_i (`p_k[month]`) will be 1 if all months have equal streamflow and + # 12 if all streamflow occurs in one month. + # These steps produce the 12/n factor in Equation 1. + p_k[month] = np.nansum(streamflow_proportion) * 12 / num_years + + # From Equation 2 + seasonality_index = np.max(p_k) + # `p_k == np.max(p_k)` produces a Boolean matrix, True if the value (i.e., streamflow) is the max value. + # `np.where(p_k == np.max(p_k))` produces the indices (i.e., months) where the max value is reached. + peak_month = np.where(p_k == np.max(p_k))[0] + # If more than one month has peak streamflow, simply define the peak month as the first one of the peak months. + # Month 0 is January, Month 1 is February, and so on. + peak_month = peak_month[0] + + return seasonality_index, peak_month # type: ignore + + +def _remove_gauges_with_nan_flow( + export_data: np.ndarray, area_upstream: np.ndarray | None +) -> np.ndarray: + """Remove gauges with NaN flow. + + Gauges will only plotted if they have a non-nan value for both test and ref + data. + + Parameters + ---------- + export_data : np.ndarray + The export data. + area_upstream : np.ndarray | None + The optional area upstream. + + Returns + ------- + np.ndarray + The export with gauges that have NaN flow removed. + """ + export_data_new = np.array(export_data) + export_data_new = export_data_new[~np.isnan(export_data_new[:, 0]), :] + export_data_new = export_data_new[~np.isnan(export_data_new[:, 1]), :] + + if area_upstream is not None: + export_data_new = export_data_new[export_data_new[:, 2] <= MAX_AREA_ERROR, :] + + return export_data_new diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 7645d0c60..0850f1fb2 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -173,7 +173,11 @@ def _get_derived_vars_map(self) -> DerivedVariablesMap: # Attribute related methods # -------------------------------------------------------------------------- - def get_name_yrs_attr(self, season: ClimoFreq | None = None) -> str: + def get_name_yrs_attr( + self, + season: ClimoFreq | None = None, + default_name: str | None = None, + ) -> str: """Get the diagnostic name and 'yrs_averaged' attr as a single string. This method is used to update either `parameter.test_name_yrs` or @@ -199,9 +203,9 @@ def get_name_yrs_attr(self, season: ClimoFreq | None = None) -> str: Replaces `e3sm_diags.driver.utils.general.get_name_and_yrs` """ if self.data_type == "test": - diag_name = self._get_test_name() + diag_name = self._get_test_name(default_name) elif self.data_type == "ref": - diag_name = self._get_ref_name() + diag_name = self._get_ref_name(default_name) if self.is_climo: if season is None: @@ -222,7 +226,7 @@ def get_name_yrs_attr(self, season: ClimoFreq | None = None) -> str: return f"{diag_name} ({yrs_averaged_attr})" - def _get_test_name(self) -> str: + def _get_test_name(self, default_name: str | None = None) -> str: """Get the diagnostic test name. Returns @@ -239,6 +243,9 @@ def _get_test_name(self) -> str: elif self.parameter.test_name != "": return self.parameter.test_name else: + if default_name is not None: + return default_name + # NOTE: This else statement is preserved from the previous CDAT # codebase to maintain the same behavior. if self.parameter.test_name == "": @@ -246,7 +253,7 @@ def _get_test_name(self) -> str: return self.parameter.test_name - def _get_ref_name(self) -> str: + def _get_ref_name(self, default_name: str | None = None) -> str: """Get the diagnostic reference name. Returns @@ -263,6 +270,10 @@ def _get_ref_name(self) -> str: elif self.parameter.reference_name != "": return self.parameter.reference_name else: + # Covers cases such as streamflow which set the ref name to "GSIM". + if default_name is not None: + return default_name + # NOTE: This else statement is preserved from the previous CDAT # codebase to maintain the same behavior. if self.parameter.ref_name == "": diff --git a/e3sm_diags/plot/cartopy/streamflow_plot.py b/e3sm_diags/plot/cartopy/streamflow_plot.py deleted file mode 100644 index a1aad2240..000000000 --- a/e3sm_diags/plot/cartopy/streamflow_plot.py +++ /dev/null @@ -1,731 +0,0 @@ -from __future__ import print_function - -import os - -import cartopy.crs as ccrs -import cartopy.feature as cfeature -import cdutil -import matplotlib -import numpy as np -import scipy.stats -from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter - -from e3sm_diags.derivations.default_regions import regions_specs -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger - -matplotlib.use("Agg") -import matplotlib.colors as colors # isort:skip # noqa: E402 -import matplotlib.lines as lines # isort:skip # noqa: E402 -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, width, height) in page coordinates -border = (-0.14, -0.06, 0.04, 0.08) - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def determine_tick_step(degrees_covered): - if degrees_covered > 180: - return 60 - if degrees_covered > 60: - return 30 - elif degrees_covered > 20: - return 10 - else: - return 1 - - -def plot_panel_seasonality_map( - plot_type, fig, proj, export, color_list, panel, parameter -): - if plot_type == "test": - panel_index = 0 - seasonality_index_export_index = 5 - peak_month_export_index = 6 - title = (None, parameter.test_title, None) - elif plot_type == "ref": - panel_index = 1 - seasonality_index_export_index = 3 - peak_month_export_index = 4 - title = (None, parameter.reference_title, None) - else: - raise Exception("Invalid plot_type={}".format(plot_type)) - - # Plot of streamflow gauges. Color -> peak month, marker size -> seasonality index. - ax = fig.add_axes(panel[panel_index], projection=proj) - region_str = parameter.regions[0] - region = regions_specs[region_str] - if "domain" in region.keys(): # type: ignore - # Get domain to plot - domain = region["domain"] # type: ignore - else: - # Assume global domain - domain = cdutil.region.domain(latitude=(-90.0, 90, "ccb")) - kargs = domain.components()[0].kargs - # lon_west, lon_east, lat_south, lat_north = (0, 360, -90, 90) - lon_west, lon_east, lat_south, lat_north = (-180, 180, -90, 90) - if "longitude" in kargs: - lon_west, lon_east, _ = kargs["longitude"] - if "latitude" in kargs: - lat_south, lat_north, _ = kargs["latitude"] - lon_covered = lon_east - lon_west - lon_step = determine_tick_step(lon_covered) - xticks = np.arange(lon_west, lon_east, lon_step) - # Subtract 0.50 to get 0 W to show up on the right side of the plot. - # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the left side of the plot. - # If a number is added, then the value won't show up at all. - xticks = np.append(xticks, lon_east - 0.50) - lat_covered = lat_north - lat_south - lat_step = determine_tick_step(lat_covered) - yticks = np.arange(lat_south, lat_north, lat_step) - yticks = np.append(yticks, lat_north) - ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=proj) - proj_function = ccrs.PlateCarree - - # Stream gauges - si_2 = 2 - si_4 = 3 - si_6 = 4 - si_large = 5 - # `export` is the array of gauges. Each gauge has multiple fields -- e.g., lat is index 7 - for gauge in export: - lat = gauge[7] - lon = gauge[8] - seasonality_index = gauge[seasonality_index_export_index] - if seasonality_index < 2: - markersize = si_2 - elif seasonality_index < 4: - markersize = si_4 - elif seasonality_index < 6: - markersize = si_6 - elif seasonality_index <= 12: - markersize = si_large - else: - raise Exception("Invalid seasonality index={}".format(seasonality_index)) - if seasonality_index == 1: - color = "black" - else: - peak_month = int(gauge[peak_month_export_index]) - color = color_list[peak_month] - # https://scitools.org.uk/iris/docs/v1.9.2/examples/General/projections_and_annotations.html - # Place a single marker point for each gauge. - plt.plot( - lon, - lat, - marker="o", - color=color, - markersize=markersize, - transform=proj_function(), - ) - # NOTE: the "plt.annotate call" does not have a "transform=" keyword, - # so for this one we transform the coordinates with a Cartopy call. - at_x, at_y = ax.projection.transform_point(lon, lat, src_crs=proj_function()) - # https://matplotlib.org/3.1.1/gallery/text_labels_and_annotations/custom_legends.html - legend_elements = [ - lines.Line2D( - [0], - [0], - marker="o", - color="w", - label="1 <= SI < 2", - markerfacecolor="black", - markersize=si_2, - ), - lines.Line2D( - [0], - [0], - marker="o", - color="w", - label="2 <= SI < 4", - markerfacecolor="black", - markersize=si_4, - ), - lines.Line2D( - [0], - [0], - marker="o", - color="w", - label="4 <= SI < 6", - markerfacecolor="black", - markersize=si_6, - ), - lines.Line2D( - [0], - [0], - marker="o", - color="w", - label="6 <= SI <= 12", - markerfacecolor="black", - markersize=si_large, - ), - ] - seasonality_legend_title = "Seasonality (SI)" - plt.legend( - handles=legend_elements, - title=seasonality_legend_title, - prop={"size": 8}, - ) - - # Full world would be aspect 360/(2*180) = 1 - ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) - ax.coastlines(lw=0.3) - ax.add_feature(cfeature.RIVERS) - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - ax.set_xticks(xticks, crs=proj_function()) - ax.set_yticks(yticks, crs=proj_function()) - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - - # Color bar - cbax = fig.add_axes( - ( - panel[panel_index][0] + 0.7535, - panel[panel_index][1] + 0.0515, - 0.0326, - 0.1792, - ) - ) - # https://matplotlib.org/tutorials/colors/colorbar_only.html - num_colors = len(color_list) - if parameter.print_statements: - logger.info("num_colors={}".format(num_colors)) - cmap = colors.ListedColormap(color_list) - cbar_label = "Peak month" - - bounds = list(range(num_colors)) - # Set ticks to be in between the bounds - ticks = list(map(lambda bound: bound + 0.5, bounds)) - # Add one more bound at the bottom of the colorbar. - # `bounds` should be one longer than `ticks`. - bounds += [bounds[-1] + 1] - if parameter.print_statements: - logger.info("bounds={}".format(bounds)) - norm = colors.BoundaryNorm(bounds, cmap.N) - cbar = fig.colorbar( - matplotlib.cm.ScalarMappable(cmap=cmap, norm=norm), - cax=cbax, - boundaries=bounds, - ticks=ticks, - spacing="uniform", - orientation="vertical", - label=cbar_label, - ) - # https://matplotlib.org/3.1.1/gallery/ticks_and_spines/colorbar_tick_labelling_demo.html - months = [ - "Jan", - "Feb", - "Mar", - "Apr", - "May", - "Jun", - "Jul", - "Aug", - "Sep", - "Oct", - "Nov", - "Dec", - ] - cbar.ax.set_yticklabels(months) - cbar.ax.invert_yaxis() - - w, h = get_ax_size(fig, cbax) - - cbar.ax.tick_params(labelsize=9.0, length=0) - - -def plot_seasonality_map(export, parameter): - if parameter.backend not in ["cartopy", "mpl", "matplotlib"]: - return - - # Position and sizes of subplot axes in page coordinates (0 to 1) - # (left, bottom, width, height) in page coordinates - panel = [ - (0.0900, 0.5500, 0.7200, 0.3000), - (0.0900, 0.1300, 0.7200, 0.3000), - ] - - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - proj = ccrs.PlateCarree(central_longitude=0) - - # test and ref color lists - # Selected from 'hsv' colormap: - color_list = [ - (0.05, 0.00, 0.99), - (0.03, 0.30, 0.98), - (0.12, 0.92, 0.99), - (0.13, 1.00, 0.65), - (0.14, 1.00, 0.05), - (0.98, 0.99, 0.04), - (0.99, 0.67, 0.04), - (0.99, 0.34, 0.03), - (0.99, 0.07, 0.03), - (0.99, 0.00, 0.53), - (0.68, 0.00, 1.00), - (0.29, 0.00, 1.00), - ] - - # First panel - plot_panel_seasonality_map("test", fig, proj, export, color_list, panel, parameter) - - # Second panel - plot_panel_seasonality_map("ref", fig, proj, export, color_list, panel, parameter) - - # Figure title - fig.suptitle(parameter.main_title_seasonality_map, x=0.5, y=0.97, fontsize=15) - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/streamflow/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/streamflow/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file_seasonality_map is defined in e3sm_diags/parameter/streamflow_parameter.py - # {parameter.results_dir}/streamflow/{parameter.case_id}/{parameter.output_file_seasonality_map} - file_path = os.path.join(output_dir, parameter.output_file_seasonality_map) - # {parameter.orig_results_dir}/streamflow/{parameter.case_id}/{parameter.output_file_seasonality_map} - original_file_path = os.path.join( - original_output_dir, parameter.output_file_seasonality_map - ) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - original_plot_file_path = original_file_path + plot_suffix - # Always print, even without `parameter.print_statements` - logger.info(f"Plot saved in: {original_plot_file_path}") - - # Save individual subplots - for f in parameter.output_format_subplot: - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list((subpage * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - subplot_suffix = ".%i." % i + f - subplot_file_path = file_path + subplot_suffix - plt.savefig(subplot_file_path, bbox_inches=extent) - # Get the filename that the user has passed in and display that. - original_subplot_file_path = original_file_path + subplot_suffix - # Always print, even without `parameter.print_statements` - logger.info(f"Sub-plot saved in: {original_subplot_file_path}") - i += 1 - - plt.close() - - -def plot_panel_annual_map(panel_index, fig, proj, export, bias_array, panel, parameter): - if panel_index == 0: - panel_type = "test" - elif panel_index == 1: - panel_type = "ref" - elif panel_index == 2: - panel_type = "bias" - else: - raise Exception("Invalid panel_index={}".format(panel_index)) - - # Plot of streamflow gauges. Color -> peak month, marker size -> seasonality index. - - # Position and sizes of subplot axes in page coordinates (0 to 1) - ax = fig.add_axes(panel[panel_index], projection=proj) - region_str = parameter.regions[0] - region = regions_specs[region_str] - if "domain" in region.keys(): # type: ignore - # Get domain to plot - domain = region["domain"] # type: ignore - else: - # Assume global domain - domain = cdutil.region.domain(latitude=(-90.0, 90, "ccb")) - kargs = domain.components()[0].kargs - # lon_west, lon_east, lat_south, lat_north = (0, 360, -90, 90) - lon_west, lon_east, lat_south, lat_north = (-180, 180, -90, 90) - if "longitude" in kargs: - lon_west, lon_east, _ = kargs["longitude"] - if "latitude" in kargs: - lat_south, lat_north, _ = kargs["latitude"] - lon_covered = lon_east - lon_west - lon_step = determine_tick_step(lon_covered) - xticks = np.arange(lon_west, lon_east, lon_step) - # Subtract 0.50 to get 0 W to show up on the right side of the plot. - # If less than 0.50 is subtracted, then 0 W will overlap 0 E on the left side of the plot. - # If a number is added, then the value won't show up at all. - xticks = np.append(xticks, lon_east - 0.50) - lat_covered = lat_north - lat_south - lat_step = determine_tick_step(lat_covered) - yticks = np.arange(lat_south, lat_north, lat_step) - yticks = np.append(yticks, lat_north) - ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=proj) - proj_function = ccrs.PlateCarree - - # Stream gauges - color_list, value_min, value_max, norm = setup_annual_map( - parameter, panel_type, bias_array - ) - plot_gauges_annual_map( - panel_type, - export, - bias_array, - value_min, - value_max, - color_list, - proj_function, - ax, - ) - - # Full world would be aspect 360/(2*180) = 1 - ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) - ax.coastlines(lw=0.3) - ax.add_feature(cfeature.RIVERS) - if panel_type == "test": - title = parameter.test_title - elif panel_type == "ref": - title = parameter.reference_title - elif panel_type == "bias": - title = "Relative Bias" - else: - raise Exception("Invalid panel_type={}".format(panel_type)) - title = (None, title, None) - if title[0] is not None: - ax.set_title(title[0], loc="left", fontdict=plotSideTitle) - if title[1] is not None: - ax.set_title(title[1], fontdict=plotTitle) - if title[2] is not None: - ax.set_title(title[2], loc="right", fontdict=plotSideTitle) - ax.set_xticks(xticks, crs=proj_function()) - ax.set_yticks(yticks, crs=proj_function()) - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - - # Color bar - # Position and sizes of subplot axes in page coordinates (0 to 1) - # (left, bottom, width, height) in page coordinates - cbax = fig.add_axes( - ( - panel[panel_index][0] + 0.6635, - panel[panel_index][1] + 0.0115, - 0.0326, - 0.1792, - ) - ) - cmap = colors.ListedColormap(color_list) - if panel_type in ["test", "ref"]: - cbar_label = "Mean annual discharge ($m^3$/$s$)" - elif panel_type == "bias": - cbar_label = "Bias of mean annual discharge (%)\n(test-ref)/ref" - else: - raise Exception("Invalid panel_type={}".format(panel_type)) - cbar = fig.colorbar( - matplotlib.cm.ScalarMappable(cmap=cmap, norm=norm), - cax=cbax, - label=cbar_label, - extend="both", - ) - w, h = get_ax_size(fig, cbax) - if panel_type in ["test", "ref"]: - pass - elif panel_type == "bias": - step_size = (value_max - value_min) // 5 - ticks = np.arange(int(value_min), int(value_max) + step_size, step_size) - cbar.ax.tick_params(labelsize=9.0, length=0) - cbar.ax.set_yticklabels(ticks) - else: - raise Exception("Invalid panel_type={}".format(panel_type)) - - -def setup_annual_map(parameter, panel_type, bias_array): - # Continuous colormap - colormap = plt.get_cmap("jet_r") - color_list = list(map(lambda index: colormap(index)[:3], range(colormap.N))) - if panel_type in ["test", "ref"]: - value_min, value_max = 1, 1e4 - # https://matplotlib.org/3.2.1/tutorials/colors/colormapnorms.html - norm = matplotlib.colors.LogNorm(vmin=value_min, vmax=value_max) - elif panel_type == "bias": - if parameter.print_statements: - value_min = np.floor(np.min(bias_array)) - value_max = np.ceil(np.max(bias_array)) - logger.info( - "Bias of mean annual discharge {} min={}, max={}".format( - panel_type, value_min, value_max - ) - ) - - value_min = -100 - value_max = 100 - norm = matplotlib.colors.Normalize() - else: - raise Exception("Invalid panel_type={}".format(panel_type)) - return color_list, value_min, value_max, norm - - -def plot_gauges_annual_map( - panel_type, export, bias_array, value_min, value_max, color_list, proj_function, ax -): - # `export` is the array of gauges. Each gauge has multiple fields -- e.g., lat is index 7 - for gauge, i in zip(export, range(len(export))): - if panel_type == "test": - # Test mean annual discharge - value = gauge[1] - elif panel_type == "ref": - # Ref mean annual discharge - value = gauge[0] - elif panel_type == "bias": - # Bias - value = bias_array[i] - else: - raise Exception("Invalid panel_type={}".format(panel_type)) - if np.isnan(value): - continue - if value < value_min: - value = value_min - elif value > value_max: - value = value_max - if panel_type in ["test", "ref"]: - # Logarithmic Rescale (min-max normalization) to [-1,1] range - normalized_value = (np.log10(value) - np.log10(value_min)) / ( - np.log10(value_max) - np.log10(value_min) - ) - elif panel_type == "bias": - # Rescale (min-max normalization) to [-1,1] range - normalized_value = (value - value_min) / (value_max - value_min) - else: - raise Exception("Invalid panel_type={}".format(panel_type)) - lat = gauge[7] - lon = gauge[8] - - color = color_list[int(normalized_value * (len(color_list) - 1))] - # https://scitools.org.uk/iris/docs/v1.9.2/examples/General/projections_and_annotations.html - # Place a single marker point for each gauge. - plt.plot( - lon, - lat, - marker="o", - markersize=2, - color=color, - transform=proj_function(), - ) - # NOTE: the "plt.annotate call" does not have a "transform=" keyword, - # so for this one we transform the coordinates with a Cartopy call. - at_x, at_y = ax.projection.transform_point(lon, lat, src_crs=proj_function()) - - -def plot_annual_map(export, bias, parameter): - if parameter.backend not in ["cartopy", "mpl", "matplotlib"]: - return - - # Position and sizes of subplot axes in page coordinates (0 to 1) - # (left, bottom, width, height) in page coordinates - panel = [ - (0.1691, 0.6810, 0.6465, 0.2258), - (0.1691, 0.3961, 0.6465, 0.2258), - (0.1691, 0.1112, 0.6465, 0.2258), - ] - - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - proj = ccrs.PlateCarree(central_longitude=0) - - # First panel - plot_panel_annual_map(0, fig, proj, export, bias, panel, parameter) - - # Second panel - plot_panel_annual_map(1, fig, proj, export, bias, panel, parameter) - - # Third panel - plot_panel_annual_map(2, fig, proj, export, bias, panel, parameter) - - # Figure title - fig.suptitle(parameter.main_title_annual_map, x=0.5, y=0.97, fontsize=15) - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/streamflow/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/streamflow/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file_annual_map is defined in e3sm_diags/parameter/streamflow_parameter.py - # {parameter.results_dir}/streamflow/{parameter.case_id}/{parameter.output_file_annual_map} - file_path = os.path.join(output_dir, parameter.output_file_annual_map) - # {parameter.orig_results_dir}/streamflow/{parameter.case_id}/{parameter.output_file_annual_map} - original_file_path = os.path.join( - original_output_dir, parameter.output_file_annual_map - ) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - original_plot_file_path = original_file_path + plot_suffix - # Always print, even without `parameter.print_statements` - logger.info(f"Plot saved in: {original_plot_file_path}") - - # Save individual subplots - for f in parameter.output_format_subplot: - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list((subpage * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - subplot_suffix = ".%i." % i + f - subplot_file_path = file_path + subplot_suffix - plt.savefig(subplot_file_path, bbox_inches=extent) - # Get the filename that the user has passed in and display that. - original_subplot_file_path = original_file_path + subplot_suffix - # Always print, even without `parameter.print_statements` - logger.info(f"Sub-plot saved in: {original_subplot_file_path}") - - i += 1 - - plt.close() - - -def plot_annual_scatter(xs, ys, zs, parameter): - # Position and sizes of subplot axes in page coordinates (0 to 1) - # (left, bottom, width, height) in page coordinates - panel = [(0.0900, 0.2000, 0.7200, 0.6000)] - - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - - ax = fig.add_axes(panel[0]) - cmap = plt.get_cmap("jet") - ax.scatter(xs, ys, label="Scatterplot", marker="o", s=10, c=zs, cmap=cmap) - r, _ = scipy.stats.pearsonr(xs, ys) - r2 = r * r - r2_str = "{0:.2f}".format(r2) - bounds = [0.01, 100000] - ax.plot(bounds, bounds, color="red", linestyle="-") - ax.set_xscale("log") - ax.set_yscale("log") - ax.set_xlabel( - "{} streamflow ($m^3$/$s$)".format(parameter.reference_title), - fontsize=12, - ) - ax.set_ylabel("{} streamflow ($m^3$/$s$)".format(parameter.test_title), fontsize=12) - ax.set_xlim(bounds[0], bounds[1]) - ax.set_ylim(bounds[0], bounds[1]) - ax.tick_params(axis="both", labelsize=12) - - # Color bar - # Position and sizes of subplot axes in page coordinates (0 to 1) - # (left, bottom, width, height) in page coordinates - cbax = fig.add_axes( - (panel[0][0] + 0.7535, panel[0][1] + 0.0515, 0.0326, 0.1792 * 2) - ) - cbar_label = "Drainage area bias (%)" - cbar = fig.colorbar(matplotlib.cm.ScalarMappable(cmap=cmap), cax=cbax) - cbar.ax.set_ylabel(cbar_label, fontsize=12) - w, h = get_ax_size(fig, cbax) - zs_max = np.ceil(np.max(zs)) - zs_min = np.floor(np.min(zs)) - step_size = (zs_max - zs_min) // 5 - try: - ticks = np.arange(zs_min, zs_max + step_size, step_size) - cbar.ax.set_yticklabels(ticks) - except ValueError: - # `zs` has invalid values (likely from no area_upstream being found). - # Just use default colorbar. - pass - cbar.ax.tick_params(labelsize=12.0, length=0) - - # Figure title - if parameter.main_title_annual_scatter == "": - main_title_annual_scatter = "Annual mean streamflow\n{} vs {}".format( - parameter.test_title, parameter.reference_title - ) - else: - main_title_annual_scatter = parameter.main_title_annual_scatter - ax.set_title(main_title_annual_scatter, loc="center", y=1.05, fontsize=15) - - legend_title = "$R^2$={}, (n={})".format(r2_str, xs.shape[0]) - ax.legend(handles=[], title=legend_title, loc="upper left", prop={"size": 12}) - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/streamflow/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/streamflow/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file_annual_scatter is defined in e3sm_diags/parameter/streamflow_parameter.py - # {parameter.results_dir}/streamflow/{parameter.case_id}/{parameter.output_file_annual_scatter} - file_path = os.path.join(output_dir, parameter.output_file_annual_scatter) - # {parameter.orig_results_dir}/streamflow/{parameter.case_id}/{parameter.output_file_annual_scatter} - original_file_path = os.path.join( - original_output_dir, parameter.output_file_annual_scatter - ) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - original_plot_file_path = original_file_path + plot_suffix - logger.info(f"Plot saved in: {original_plot_file_path}") - - plt.close() diff --git a/e3sm_diags/plot/streamflow_plot_map.py b/e3sm_diags/plot/streamflow_plot_map.py new file mode 100644 index 000000000..394da4c8c --- /dev/null +++ b/e3sm_diags/plot/streamflow_plot_map.py @@ -0,0 +1,325 @@ +from typing import List, Tuple, Union + +import cartopy.crs as ccrs +import cartopy.feature as cfeature +import matplotlib +import numpy as np + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.plot.utils import ( + _configure_titles, + _configure_x_and_y_axes, + _get_x_ticks, + _get_y_ticks, + _save_plot, +) + +matplotlib.use("Agg") +import matplotlib.colors as colors # isort:skip # noqa: E402 +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +# Border padding relative to subplot axes for saving individual panels +# (left, bottom, width, height) in page coordinates. +BORDER_PADDING = (-0.14, -0.06, 0.04, 0.08) + +PROJECTION = ccrs.PlateCarree(central_longitude=0) +PROJECTION_FUNC = ccrs.PlateCarree + +# Position and sizes of subplot axes in page coordinates (0 to 1) +# (left, bottom, width, height) in page coordinates. +ANNUAL_MAP_PANEL_CFG = [ + (0.1691, 0.6810, 0.6465, 0.2258), + (0.1691, 0.3961, 0.6465, 0.2258), + (0.1691, 0.1112, 0.6465, 0.2258), +] + + +def plot_annual_map(parameter: StreamflowParameter, export_data: np.ndarray): + """Plot the streamflow annual map. + + Parameters + ---------- + parameter : StreamflowParameter + The streamflow parameter. + export_data : np.ndarray + The export data. + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.main_title_annual_map, x=0.5, y=0.97, fontsize=15) + + # Bias between test and ref as a percentage. + # Relative error as a percentage. + # 100*((annual_mean_test - annual_mean_ref) / annual_mean_ref) + bias = 100 * ((export_data[:, 1] - export_data[:, 0]) / export_data[:, 0]) + + _plot_panel_annual_map(0, fig, parameter, export_data, bias) + _plot_panel_annual_map(1, fig, parameter, export_data, bias) + _plot_panel_annual_map(2, fig, parameter, export_data, bias) + + # NOTE: Need to set the output filename to the name of the specific + # streamflow plot before saving the plot, otherwise the filename will + # be blank. + parameter.output_file = parameter.output_file_annual_map + _save_plot(fig, parameter, border_padding=BORDER_PADDING) + + plt.close() + + +def _plot_panel_annual_map( + panel_index: int, + fig: plt.Figure, + parameter: StreamflowParameter, + export_data: np.ndarray, + bias_array: np.ndarray, +): + """Plot the panel for each annual map based on the data type. + + Parameters + ---------- + panel_index : int + The panel index. + fig : plt.Figure + The figure object. + parameter : StreamflowParameter + The streamflow parameter. + export_data : np.ndarray + The export data. + bias_array : np.ndarray + The bias array. + """ + if panel_index == 0: + panel_type = "test" + elif panel_index == 1: + panel_type = "ref" + elif panel_index == 2: + panel_type = "bias" + + # Get region info and X and Y plot ticks. + # -------------------------------------------------------------------------- + region_key = parameter.regions[0] + region_specs = REGION_SPECS[region_key] + + # Get the region's domain slices for latitude and longitude if set, or + # use the default value. If both are not set, then the region type is + # considered "global". + lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore + lon_slice = region_specs.get("lon", (-180, 180)) # type: ignore + + # Boolean flags for configuring plots. + is_global_domain = lat_slice == (-90, 90) and lon_slice == (-180, 180) + is_lon_full = lon_slice == (-180, 180) + + # Determine X and Y ticks using longitude and latitude domains respectively. + lon_west, lon_east = lon_slice + x_ticks = _get_x_ticks( + lon_west, + lon_east, + is_global_domain, + is_lon_full, + tick_step_func=_determine_tick_step, + ) + + lat_south, lat_north = lat_slice + y_ticks = _get_y_ticks(lat_south, lat_north, tick_step_func=_determine_tick_step) + + # Get the figure Axes object using the projection above and configure the + # aspect ratio, coastlines, and add RIVERS. + # -------------------------------------------------------------------------- + ax = fig.add_axes(ANNUAL_MAP_PANEL_CFG[panel_index], projection=PROJECTION) + ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=PROJECTION) + ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) + ax.coastlines(lw=0.3) + ax.add_feature(cfeature.RIVERS) + + # Plot of streamflow gauges. + # -------------------------------------------------------------------------- + color_list, value_min, value_max, norm = setup_annual_map(panel_type) + _plot_gauges( + ax, + panel_type, + export_data, + bias_array, + value_min, + value_max, + color_list, + ) + + # Configure the titles, x and y axes. + # -------------------------------------------------------------------------- + if panel_type == "test": + title = parameter.test_title + elif panel_type == "ref": + title = parameter.reference_title + elif panel_type == "bias": + title = "Relative Bias" + + _configure_titles(ax, (None, title, None)) + _configure_x_and_y_axes( + ax, x_ticks, y_ticks, ccrs.PlateCarree(), parameter.current_set + ) + + # Configure the colorbar. + # -------------------------------------------------------------------------- + cbax = fig.add_axes( + ( + ANNUAL_MAP_PANEL_CFG[panel_index][0] + 0.6635, + ANNUAL_MAP_PANEL_CFG[panel_index][1] + 0.0115, + 0.0326, + 0.1792, + ) + ) + cmap = colors.ListedColormap(color_list) + + if panel_type in ["test", "ref"]: + cbar_label = "Mean annual discharge ($m^3$/$s$)" + elif panel_type == "bias": + cbar_label = "Bias of mean annual discharge (%)\n(test-ref)/ref" + + cbar = fig.colorbar( + matplotlib.cm.ScalarMappable(cmap=cmap, norm=norm), + cax=cbax, + label=cbar_label, + extend="both", + ) + + if panel_type == "bias": + step_size = (value_max - value_min) // 5 + ticks = np.arange(int(value_min), int(value_max) + step_size, step_size) + cbar.ax.tick_params(labelsize=9.0, length=0) + cbar.ax.set_yticklabels(ticks) + + +def setup_annual_map( + panel_type: str, +) -> Tuple[ + List[str], + float, + float, + Union[matplotlib.colors.LogNorm, matplotlib.colors.Normalize], +]: + """Set up the annual map based on the panel type. + + Parameters + ---------- + panel_type : str + The panel type. + + Returns + ------- + Tuple[ List[str], float, float, matplotlib.colors.LogNorm | matplotlib.colors.Normalize ] + A tuple for the color list, the minimum value, the maximum value, and + the color normalization. + """ + colormap = plt.get_cmap("jet_r") + color_list = list(map(lambda index: colormap(index)[:3], range(colormap.N))) + + if panel_type in ["test", "ref"]: + value_min, value_max = 1, 1e4 + norm = matplotlib.colors.LogNorm(vmin=value_min, vmax=value_max) + elif panel_type == "bias": + value_min = -100 + value_max = 100 + norm = matplotlib.colors.Normalize() + + return color_list, value_min, value_max, norm + + +def _plot_gauges( + ax: plt.Axes, + panel_type: str, + export_data: np.ndarray, + bias_array: np.ndarray, + value_min: float, + value_max: float, + color_list: List[str], +): + """Plot the streamflow gauges. + + This function plots each each gauge as a single marker point. + + Parameters + ---------- + ax : plt.Axes + The matplotlib axes object. + panel_type : str + The panel type. + export_data : np.ndarray + The export data. + bias_array : np.ndarray + The bias array. + value_min : float + The minimum value of the map. + value_max : float + The maximum value of the map. + color_list : List[str] + The list of colors to use for markers. + """ + for gauge, i in zip(export_data, range(len(export_data))): + if panel_type == "test": + value = gauge[1] + elif panel_type == "ref": + value = gauge[0] + elif panel_type == "bias": + value = bias_array[i] + + if np.isnan(value): + continue + + if value < value_min: + value = value_min + elif value > value_max: + value = value_max + + if panel_type in ["test", "ref"]: + # Logarithmic Rescale (min-max normalization) to [-1,1] range + normalized_value = (np.log10(value) - np.log10(value_min)) / ( + np.log10(value_max) - np.log10(value_min) + ) + elif panel_type == "bias": + # Rescale (min-max normalization) to [-1,1] range + normalized_value = (value - value_min) / (value_max - value_min) + + lat = gauge[7] + lon = gauge[8] + + color = color_list[int(normalized_value * (len(color_list) - 1))] + + plt.plot( + lon, + lat, + marker="o", + markersize=2, + color=color, + transform=PROJECTION_FUNC(), + ) + + # NOTE: the "plt.annotate call" does not have a "transform=" keyword, + # so for this one we transform the coordinates with a Cartopy call. + ax.projection.transform_point(lon, lat, src_crs=PROJECTION_FUNC()) + + +def _determine_tick_step(degrees_covered: float) -> int: + """Determine the number of tick steps based on the degrees covered by the axis. + + Parameters + ---------- + degrees_covered : float + The degrees covered by the axis. + + Returns + ------- + int + The number of tick steps. + """ + if degrees_covered > 180: + return 60 + if degrees_covered > 60: + return 30 + elif degrees_covered > 20: + return 10 + else: + return 1 diff --git a/e3sm_diags/plot/streamflow_plot_scatter.py b/e3sm_diags/plot/streamflow_plot_scatter.py new file mode 100644 index 000000000..7aced0dd6 --- /dev/null +++ b/e3sm_diags/plot/streamflow_plot_scatter.py @@ -0,0 +1,122 @@ +import matplotlib +import numpy as np +import scipy.stats + +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.plot.utils import _save_plot + +matplotlib.use("Agg") +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +# Position and sizes of subplot axes in page coordinates (0 to 1) +# (left, bottom, width, height) in page coordinates +ANNUAL_SCATTER_PANEL_CFG = [(0.0900, 0.2000, 0.7200, 0.6000)] + + +def plot_annual_scatter(parameter: StreamflowParameter, export_data: np.ndarray): + """Plot the streamflow annual scatter. + + Parameters + ---------- + parameter : StreamflowParameter + The streamflow parameter. + export_data : np.ndarray + The export data. + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + + ann_mean_ref = export_data[:, 0] + ann_mean_test = export_data[:, 1] + pct_drainage_area_bias = export_data[:, 2] + + # Get the figure Axes object and configure axes. + # -------------------------------------------------------------------------- + ax = fig.add_axes(ANNUAL_SCATTER_PANEL_CFG[0]) + + bounds = [0.01, 100000] + ax.plot(bounds, bounds, color="red", linestyle="-") + + ax.set_xscale("log") + ax.set_yscale("log") + ax.set_xlabel( + f"{parameter.reference_title} streamflow ($m^3$/$s$)", + fontsize=12, + ) + ax.set_ylabel(f"{parameter.test_title} streamflow ($m^3$/$s$)", fontsize=12) + ax.set_xlim(bounds[0], bounds[1]) + ax.set_ylim(bounds[0], bounds[1]) + ax.tick_params(axis="both", labelsize=12) + + # Configure the title. + # -------------------------------------------------------------------------- + if parameter.main_title_annual_scatter == "": + main_title_annual_scatter = ( + f"Annual mean streamflow\n{parameter.test_title} vs " + f"{parameter.reference_title}" + ) + else: + main_title_annual_scatter = parameter.main_title_annual_scatter + + ax.set_title(main_title_annual_scatter, loc="center", y=1.05, fontsize=15) + + # Configure the legend. + # -------------------------------------------------------------------------- + r, _ = scipy.stats.pearsonr(ann_mean_ref, ann_mean_test) + r2 = r * r + r2_str = "{0:.2f}".format(r2) + + legend_title = f"$R^2$={r2_str}, (n={ann_mean_ref.shape[0]})" + ax.legend(handles=[], title=legend_title, loc="upper left", prop={"size": 12}) + + # Configure the color map. + # -------------------------------------------------------------------------- + cmap = plt.get_cmap("jet") + ax.scatter( + ann_mean_ref, + ann_mean_test, + label="Scatterplot", + marker="o", + s=10, + c=pct_drainage_area_bias, + cmap=cmap, + ) + + # Configure the colorbar. + # -------------------------------------------------------------------------- + cbax = fig.add_axes( + ( + ANNUAL_SCATTER_PANEL_CFG[0][0] + 0.7535, + ANNUAL_SCATTER_PANEL_CFG[0][1] + 0.0515, + 0.0326, + 0.1792 * 2, + ) + ) + cbar_label = "Drainage area bias (%)" + cbar = fig.colorbar(matplotlib.cm.ScalarMappable(cmap=cmap), cax=cbax) + cbar.ax.set_ylabel(cbar_label, fontsize=12) + cbar.ax.tick_params(labelsize=12.0, length=0) + + pct_drainage_area_max = np.ceil(np.max(pct_drainage_area_bias)) + pct_drainage_area_min = np.floor(np.min(pct_drainage_area_bias)) + step_size = (pct_drainage_area_max - pct_drainage_area_min) // 5 + + try: + ticks = np.arange( + pct_drainage_area_min, pct_drainage_area_max + step_size, step_size + ) + cbar.ax.set_yticklabels(ticks) + except ValueError: + # `pct_drainage_area_bias` has invalid values (likely from no area_upstream being found). + # Just use default colorbar. + pass + + # NOTE: Need to set the output filename to the name of the specific + # streamflow plot before saving the plot, otherwise the filename will + # be blank. + parameter.output_file = parameter.output_file_annual_scatter + _save_plot(fig, parameter) + + plt.close() diff --git a/e3sm_diags/plot/streamflow_plot_seasonality.py b/e3sm_diags/plot/streamflow_plot_seasonality.py new file mode 100644 index 000000000..2e026f3dd --- /dev/null +++ b/e3sm_diags/plot/streamflow_plot_seasonality.py @@ -0,0 +1,343 @@ +import cartopy.crs as ccrs +import cartopy.feature as cfeature +import matplotlib +import numpy as np + +from e3sm_diags.derivations.default_regions_xr import REGION_SPECS +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.plot.utils import ( + _configure_titles, + _configure_x_and_y_axes, + _get_x_ticks, + _get_y_ticks, + _save_plot, +) + +matplotlib.use("Agg") +import matplotlib.colors as colors # isort:skip # noqa: E402 +import matplotlib.lines as lines # isort:skip # noqa: E402 +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +# Border padding relative to subplot axes for saving individual panels +# (left, bottom, width, height) in page coordinates +BORDER_PADDING = (-0.14, -0.06, 0.04, 0.08) + +# Position and sizes of subplot axes in page coordinates (0 to 1) +# (left, bottom, width, height) in page coordinates. +PANEL_CFG = [ + (0.0900, 0.5500, 0.7200, 0.3000), + (0.0900, 0.1300, 0.7200, 0.3000), +] + +# Test and ref color lists, slected from 'hsv' colormap. +COLOR_LIST = [ + (0.05, 0.00, 0.99), + (0.03, 0.30, 0.98), + (0.12, 0.92, 0.99), + (0.13, 1.00, 0.65), + (0.14, 1.00, 0.05), + (0.98, 0.99, 0.04), + (0.99, 0.67, 0.04), + (0.99, 0.34, 0.03), + (0.99, 0.07, 0.03), + (0.99, 0.00, 0.53), + (0.68, 0.00, 1.00), + (0.29, 0.00, 1.00), +] + +# Dictionary mapping seasonality index to marker size. +SEASONALITY_INDEX = {"si_2": 2, "si_4": 3, "si_6": 4, "si_large": 5} +# Legend elements based on the marker size using the seasonality index dict. +LEGEND_ELEMENTS = [ + lines.Line2D( + [0], + [0], + marker="o", + color="w", + label="1 <= SI < 2", + markerfacecolor="black", + markersize=SEASONALITY_INDEX["si_2"], + ), + lines.Line2D( + [0], + [0], + marker="o", + color="w", + label="2 <= SI < 4", + markerfacecolor="black", + markersize=SEASONALITY_INDEX["si_4"], + ), + lines.Line2D( + [0], + [0], + marker="o", + color="w", + label="4 <= SI < 6", + markerfacecolor="black", + markersize=SEASONALITY_INDEX["si_6"], + ), + lines.Line2D( + [0], + [0], + marker="o", + color="w", + label="6 <= SI <= 12", + markerfacecolor="black", + markersize=SEASONALITY_INDEX["si_large"], + ), +] + +# Projections to use for the seasonality map. +PROJECTION = ccrs.PlateCarree(central_longitude=0) +PROJECTION_FUNC = ccrs.PlateCarree + +# Month labels for the Y Axis. +MONTHS_Y_AXIS_LABEL = [ + "Jan", + "Feb", + "Mar", + "Apr", + "May", + "Jun", + "Jul", + "Aug", + "Sep", + "Oct", + "Nov", + "Dec", +] + + +def plot_seasonality_map(parameter: StreamflowParameter, export_data: np.ndarray): + """Plot the streamflow seasonality map. + + Parameters + ---------- + parameter : StreamflowParameter + The streamflow parameter. + export_data : np.ndarray + The export data. + """ + fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) + fig.suptitle(parameter.main_title_seasonality_map, x=0.5, y=0.97, fontsize=15) + + _plot_panel_seasonality_map(fig, parameter, "test", export_data) + _plot_panel_seasonality_map(fig, parameter, "ref", export_data) + + # NOTE: Need to set the output filename to the name of the specific + # streamflow plot before saving the plot, otherwise the filename will + # be blank. + parameter.output_file = parameter.output_file_seasonality_map + _save_plot(fig, parameter, PANEL_CFG, BORDER_PADDING) + + plt.close() + + +def _plot_panel_seasonality_map( + fig: plt.Figure, + parameter: StreamflowParameter, + plot_type: str, + export_data: np.ndarray, +): + """Plot the panel each seasonality map. + + Parameters + ---------- + fig : plt.Figure + The figure object. + parameter : StreamflowParameter + The parameter. + plot_type : str + The plot type. + export_data : np.ndarray + The export data. + """ + if plot_type == "test": + panel_idx = 0 + seasonality_idx = 5 + peak_month_idx = 6 + title = (None, parameter.test_title, None) + elif plot_type == "ref": + panel_idx = 1 + seasonality_idx = 3 + peak_month_idx = 4 + title = (None, parameter.reference_title, None) + + # Get region info and X and Y plot ticks. + # -------------------------------------------------------------------------- + region_key = parameter.regions[0] + region_specs = REGION_SPECS[region_key] + + # Get the region's domain slices for latitude and longitude if set, or + # use the default value. If both are not set, then the region type is + # considered "global". + lat_slice = region_specs.get("lat", (-90, 90)) # type: ignore + lon_slice = region_specs.get("lon", (-180, 180)) # type: ignore + + # Boolean flags for configuring plots. + is_global_domain = lat_slice == (-90, 90) and lon_slice == (-180, 180) + is_lon_full = lon_slice == (-180, 180) + + # Determine X and Y ticks using longitude and latitude domains respectively. + lon_west, lon_east = lon_slice + x_ticks = _get_x_ticks( + lon_west, + lon_east, + is_global_domain, + is_lon_full, + tick_step_func=_determine_tick_step, + ) + + lat_south, lat_north = lat_slice + y_ticks = _get_y_ticks(lat_south, lat_north, tick_step_func=_determine_tick_step) + + # Get the figure Axes object using the projection above and configure the + # aspect ratio, coastlines, and add RIVERS. + # -------------------------------------------------------------------------- + ax = fig.add_axes(PANEL_CFG[panel_idx], projection=PROJECTION) + ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=PROJECTION) + ax.set_aspect((lon_east - lon_west) / (2 * (lat_north - lat_south))) + ax.coastlines(lw=0.3) + ax.add_feature(cfeature.RIVERS) + + # Plot the streamflow gauges. + # -------------------------------------------------------------------------- + _plot_gauges(ax, export_data, seasonality_idx, peak_month_idx) + + # Configure legend. + # -------------------------------------------------------------------------- + plt.legend(handles=LEGEND_ELEMENTS, title="Seasonality (SI)", prop={"size": 8}) + + # Configure the titles, x and y axes. + # -------------------------------------------------------------------------- + _configure_titles(ax, title) + _configure_x_and_y_axes( + ax, x_ticks, y_ticks, ccrs.PlateCarree(), parameter.current_set + ) + # Configure the colorbar. + # -------------------------------------------------------------------------- + cbax = fig.add_axes( + ( + PANEL_CFG[panel_idx][0] + 0.7535, + PANEL_CFG[panel_idx][1] + 0.0515, + 0.0326, + 0.1792, + ) + ) + + cmap = colors.ListedColormap(COLOR_LIST) + + # Set ticks to be in between the bounds + num_colors = len(COLOR_LIST) + bounds = list(range(num_colors)) + ticks = list(map(lambda bound: bound + 0.5, bounds)) + + # Add one more bound at the bottom of the colorbar. + # `bounds` should be one longer than `ticks`. + bounds += [bounds[-1] + 1] + norm = colors.BoundaryNorm(bounds, cmap.N) + cbar = fig.colorbar( + matplotlib.cm.ScalarMappable(cmap=cmap, norm=norm), + cax=cbax, + boundaries=bounds, + ticks=ticks, + spacing="uniform", + orientation="vertical", + label="Peak month", + ) + + cbar.ax.set_yticklabels(MONTHS_Y_AXIS_LABEL) + cbar.ax.invert_yaxis() + + cbar.ax.tick_params(labelsize=9.0, length=0) + + +def _plot_gauges( + ax: plt.axes, + export_data: np.ndarray, + seasonality_idx: int, + peak_month_idx: int, +): + """Plot the streamflow gauges. + + This function plots each each gauge as a single marker point. + + Parameters + ---------- + ax : plt.axes + The matplotlib axes object. + export : np.ndarray + An array of gauges, with each gauge having multiple fields (e.g., lat is + index 7). + seasonality_idx_export_idx : int + The index of the seasonality based on the export index, which determines + the size of the plot marker for each gauge. + peak_month_export_idx : int + The index of the peak month export that determines the color of the + plot marker for each gauge. + + Raises + ------ + RuntimeError + Invalid seasonality index found. + """ + for gauge in export_data: + lat = gauge[7] + lon = gauge[8] + seasonality_index = gauge[seasonality_idx] + + if seasonality_index < 2: + markersize = SEASONALITY_INDEX["si_2"] + elif seasonality_index < 4: + markersize = SEASONALITY_INDEX["si_4"] + elif seasonality_index < 6: + markersize = SEASONALITY_INDEX["si_6"] + elif seasonality_index <= 12: + markersize = SEASONALITY_INDEX["si_large"] + else: + raise RuntimeError(f"Invalid seasonality index={seasonality_index}") + + if seasonality_index == 1: + color = "black" + else: + peak_month = int(gauge[peak_month_idx]) + color = COLOR_LIST[peak_month] # type: ignore + + plt.plot( + lon, + lat, + marker="o", + color=color, + markersize=markersize, + transform=PROJECTION_FUNC(), + ) + + # NOTE: The "plt.annotate call" does not have a "transform=" keyword, + # so for this one we transform the coordinates with a Cartopy call. + ax.projection.transform_point(lon, lat, src_crs=PROJECTION_FUNC()) + + +def _determine_tick_step(degrees_covered: float) -> int: + """Determine the number of tick steps based on the degrees covered by the axis. + + Parameters + ---------- + degrees_covered : float + The degrees covered by the axis. + + Returns + ------- + int + The number of tick steps. + """ + if degrees_covered > 180: + return 60 + if degrees_covered > 60: + return 30 + elif degrees_covered > 20: + return 10 + else: + return 1 From 48af0a17165fed13e2e1abbf15ec06480eafaadc Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 26 Aug 2024 14:07:13 -0700 Subject: [PATCH 25/41] [Bug]: CDAT Migration Phase 2: enso_diags plot fixes (#841) --- .../663-enso-diags/regression_test_png.ipynb | 8 +++---- e3sm_diags/driver/enso_diags_driver.py | 6 ++++- e3sm_diags/plot/enso_diags_plot.py | 23 ++++++++++++++++++- 3 files changed, 31 insertions(+), 6 deletions(-) diff --git a/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb index 0e8635e5d..a79ed690d 100644 --- a/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb +++ b/auxiliary_tools/cdat_regression_testing/663-enso-diags/regression_test_png.ipynb @@ -161,7 +161,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -192,7 +192,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -224,7 +224,7 @@ " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/663-enso-diags/enso_diags/TAUY-response_diff/regression-coefficient-tauy-over-nino34.png']" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -235,7 +235,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { diff --git a/e3sm_diags/driver/enso_diags_driver.py b/e3sm_diags/driver/enso_diags_driver.py index bf56c3431..a87d298af 100644 --- a/e3sm_diags/driver/enso_diags_driver.py +++ b/e3sm_diags/driver/enso_diags_driver.py @@ -17,7 +17,7 @@ ) from e3sm_diags.driver.utils.regrid import _subset_on_region, align_grids_to_lower_res from e3sm_diags.logger import custom_logger -from e3sm_diags.metrics.metrics import spatial_avg, std +from e3sm_diags.metrics.metrics import correlation, rmse, spatial_avg, std from e3sm_diags.plot.enso_diags_plot import plot_map, plot_scatter if TYPE_CHECKING: @@ -44,6 +44,8 @@ class MetricsSubDict(TypedDict): max: float mean: List[float] std: List[float] + rmse: float | None + corr: float | None # A type annotation representing the metrics dictionary. @@ -531,6 +533,8 @@ def _create_metrics_dict( metrics_dict["test"] = get_metrics_subdict(ds_test, var_key) metrics_dict["test_regrid"] = get_metrics_subdict(ds_test_regrid, var_key) metrics_dict["diff"] = get_metrics_subdict(ds_diff, var_key) + metrics_dict["diff"]["rmse"] = rmse(ds_test_regrid, ds_ref_regrid, var_key) # type: ignore + metrics_dict["diff"]["corr"] = correlation(ds_test_regrid, ds_ref_regrid, var_key) # type: ignore metrics_dict["unit"] = ds_test[var_key].units diff --git a/e3sm_diags/plot/enso_diags_plot.py b/e3sm_diags/plot/enso_diags_plot.py index caca77906..29663a9f1 100644 --- a/e3sm_diags/plot/enso_diags_plot.py +++ b/e3sm_diags/plot/enso_diags_plot.py @@ -190,6 +190,7 @@ def plot_map( (None, parameter.diff_title, da_test.units), metrics_dict["diff"], # type: ignore ) + _plot_diff_rmse_and_corr(fig, metrics_dict["diff"]) # type: ignore _save_plot(fig, parameter) @@ -296,7 +297,7 @@ def _add_colormap( # Add metrics text to the figure. # -------------------------------------------------------------------------- - metrics_values = tuple(metrics.values()) + metrics_values = (metrics["max"], metrics["min"], metrics["mean"], metrics["std"]) top_text = "Max\nMin\nMean\nSTD" fig.text( DEFAULT_PANEL_CFG[subplot_num][0] + 0.6635, @@ -325,6 +326,26 @@ def _add_colormap( ) +def _plot_diff_rmse_and_corr(fig: plt.Figure, metrics_dict: MetricsSubDict): + bottom_stats = (metrics_dict["rmse"], metrics_dict["corr"]) + bottom_text = "RMSE\nCORR" + + fig.text( + DEFAULT_PANEL_CFG[2][0] + 0.6635, + DEFAULT_PANEL_CFG[2][1] - 0.0205, + bottom_text, + ha="left", + fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, + ) + fig.text( + DEFAULT_PANEL_CFG[2][0] + 0.7635, + DEFAULT_PANEL_CFG[2][1] - 0.0205, + "%.2f\n%.2f" % bottom_stats, # type: ignore + ha="right", + fontdict={"fontsize": SECONDARY_TITLE_FONTSIZE}, + ) + + def _determine_tick_step(degrees_covered: float) -> int: """Determine the number of tick steps based on the degrees covered by the axis. From c781adb5ff3b5db34ba9a6506cc1842b98fdb810 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Fri, 27 Sep 2024 14:27:40 -0700 Subject: [PATCH 26/41] [Refactor]: CDAT Migration Phase 3: testing and documentation update (#846) --- .../843-migration-phase3/ex-scripts/debug.cfg | 43 + .../ex-scripts/debug_isccp_climo.py | 12 + .../examples_regression_test_netcdf.ipynb | 11822 ++++++++++++++++ .../fix_isccpcosp_ann_climo_nc_calendar.py | 47 + .../843-migration-phase3/ex-scripts/run.cfg | 44 + .../model_vs_model_netcdf.ipynb | 1334 ++ .../model_vs_model_png.ipynb | 852 ++ .../run-script-model-vs-model/run_script.py | 298 + .../scripts/fix_filenames.py | 24 + .../scripts/parse_errors.py | 23 + .../model_vs_obs_netcdf.ipynb | 7408 ++++++++++ .../model_vs_obs_png.ipynb | 2846 ++++ .../run-script-model-vs-obs/run_script.py | 49 +- .../run_script_main.py | 295 + .../base_run_script.py | 15 +- .../dev_guide/_static/viewer_example.png | Bin 0 -> 180125 bytes .../dev_guide/_static/viewer_index_page.png | Bin 0 -> 42254 bytes docs/source/dev_guide/_static/viewer_page.png | Bin 0 -> 83287 bytes .../dev_guide/adding-new-diags-sets.rst | 2 +- docs/source/dev_guide/index.rst | 2 +- ...put-viewer.rst => using-output-viewer.rst} | 49 +- docs/source/index.rst | 3 - .../driver/annual_cycle_zonal_mean_driver.py | 2 +- e3sm_diags/driver/cosp_histogram_driver.py | 2 +- e3sm_diags/driver/lat_lon_driver.py | 437 +- .../driver/meridional_mean_2d_driver.py | 2 +- e3sm_diags/driver/polar_driver.py | 2 +- e3sm_diags/driver/utils/dataset_xr.py | 60 +- e3sm_diags/driver/zonal_mean_2d_driver.py | 2 +- e3sm_diags/driver/zonal_mean_xy_driver.py | 3 +- ...hines.py => run_all_sets_E3SM_machines.py} | 0 examples/run_v2_3_0_all_sets.py | 108 - examples/run_v2_3_0_all_sets_E3SM_machines.py | 200 - examples/run_v2_4_0_all_sets_E3SM_machines.py | 222 - examples/run_v2_5_0_all_sets_E3SM_machines.py | 236 - examples/run_v2_6_0_all_sets_E3SM_machines.py | 240 - .../e3sm_diags/driver/test_lat_lon_driver.py | 183 + .../driver/utils/test_dataset_xr.py | 174 - tests/integration/complete_run.py | 170 +- 39 files changed, 25845 insertions(+), 1366 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug_isccp_climo.py create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/examples_regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/fix_isccpcosp_ann_climo_nc_calendar.py create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/run.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/fix_filenames.py create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/parse_errors.py create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_png.ipynb rename examples/run_v2_7_0_all_sets_E3SM_machines.py => auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script.py (86%) create mode 100644 auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script_main.py create mode 100755 docs/source/dev_guide/_static/viewer_example.png create mode 100755 docs/source/dev_guide/_static/viewer_index_page.png create mode 100755 docs/source/dev_guide/_static/viewer_page.png rename docs/source/dev_guide/{using-cdp-output-viewer.rst => using-output-viewer.rst} (73%) rename examples/{run_v2_9_0_all_sets_E3SM_machines.py => run_all_sets_E3SM_machines.py} (100%) delete mode 100644 examples/run_v2_3_0_all_sets.py delete mode 100644 examples/run_v2_3_0_all_sets_E3SM_machines.py delete mode 100644 examples/run_v2_4_0_all_sets_E3SM_machines.py delete mode 100644 examples/run_v2_5_0_all_sets_E3SM_machines.py delete mode 100644 examples/run_v2_6_0_all_sets_E3SM_machines.py create mode 100644 tests/e3sm_diags/driver/test_lat_lon_driver.py diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug.cfg b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug.cfg new file mode 100644 index 000000000..6f8768b3d --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug.cfg @@ -0,0 +1,43 @@ +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +# seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +# seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN", ] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +# seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug_isccp_climo.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug_isccp_climo.py new file mode 100644 index 000000000..9e4843330 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/debug_isccp_climo.py @@ -0,0 +1,12 @@ +import xarray as xr +import xcdat as xc + +filepath = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/climatology/ISCCPCOSP/ISCCPCOSP_ANN_climo.nc" + +# %% +ds_xc = xc.open_dataset(filepath) +# ValueError: Non-integer years and months are ambiguous and not currently supported. + +ds_xr = xr.open_dataset(filepath) +# ValueError: Failed to decode variable 'time': unable to decode time units 'months since 1983-06' # with 'the default calendar'. Try opening your dataset with decode_times=False or installing +# cftime if it is not installed. diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/examples_regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/examples_regression_test_netcdf.ipynb new file mode 100644 index 000000000..5a01eb2d0 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/examples_regression_test_netcdf.ipynb @@ -0,0 +1,11822 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "from collections import defaultdict\n", + "import glob\n", + "import os\n", + "from typing import Tuple\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/**\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\", recursive=True))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\", recursive=True))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " results = {\n", + " \"missing_files\": [],\n", + " \"matching_files\": [],\n", + " \"mismatch_errors\": [],\n", + " \"not_equal_errors\": [],\n", + " \"key_errors\": [],\n", + " }\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"_diff.nc\" not in fp_main:\n", + " fp_dev = fp_main.replace(\"examples-main\", \"examples-dev\")\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " try:\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + " except FileNotFoundError as e:\n", + " print(f\" {e}\")\n", + "\n", + " if isinstance(e, FileNotFoundError):\n", + " results[\"missing_files\"].append(fp_dev)\n", + "\n", + " continue\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " results[\"matching_files\"].append(fp_main)\n", + " except (KeyError, AssertionError) as e:\n", + " msg = str(e)\n", + "\n", + " print(f\" {msg}\")\n", + " if \"mismatch\" in msg:\n", + " results[\"mismatch_errors\"].append(fp_main)\n", + " elif \"Not equal to tolerance\" in msg:\n", + " results[\"not_equal_errors\"].append(fp_main)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + " return results\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (4677 vs. 3091).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[6], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[3], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (4677 vs. 3091)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-ERFtot-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-ERFtot-ANN-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex1_modTS_vs_modTS_3years/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-ALBEDO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-ALBEDO-ANN-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-49.104476, -48.918298, -48.909593, ..., -48.927494, -49.085101,\n", + " -48.896433],\n", + " [-48.686665, -48.57237 , -48.386637, ..., -48.510948, -48.47557 ,...\n", + " y: array([[-49.104476, -48.918298, -48.909593, ..., -48.927494, -49.085101,\n", + " -48.896433],\n", + " [-48.686665, -48.57237 , -48.386637, ..., -48.510948, -48.47557 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMNAV-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMNAV-ANN-land_test.nc\n", + " * var_key: TREFMNAV\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-50.167719, -49.995686, -49.985403, ..., -50.00252 , -50.147107,\n", + " -49.970964],\n", + " [-50.020355, -49.916474, -49.727794, ..., -49.851646, -49.818893,...\n", + " y: array([[-50.167719, -49.995686, -49.985403, ..., -50.00252 , -50.147107,\n", + " -49.970964],\n", + " [-50.020355, -49.916474, -49.727794, ..., -49.851646, -49.818893,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMXAV-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMXAV-ANN-land_test.nc\n", + " * var_key: TREFMXAV\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-47.977539, -47.775573, -47.768607, ..., -47.787612, -47.959404,\n", + " -47.756625],\n", + " [-47.337381, -47.218298, -47.037827, ..., -47.141778, -47.107207,...\n", + " y: array([[-47.977539, -47.775573, -47.768607, ..., -47.787612, -47.959404,\n", + " -47.756625],\n", + " [-47.337381, -47.218298, -47.037827, ..., -47.141778, -47.107207,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREF_range-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREF_range-ANN-land_test.nc\n", + " * var_key: TREF_range\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[2.19018 , 2.220112, 2.216796, ..., 2.214908, 2.187703, 2.214339],\n", + " [2.682974, 2.698176, 2.689968, ..., 2.709869, 2.711686, nan],\n", + " [2.949204, 2.94471 , 2.94083 , ..., 3.010002, 2.964519, nan],...\n", + " y: array([[2.19018 , 2.220112, 2.216796, ..., 2.214908, 2.187703, 2.214339],\n", + " [2.682974, 2.698176, 2.689968, ..., 2.709869, 2.711686, 2.695913],\n", + " [2.949204, 2.94471 , 2.94083 , ..., 3.010002, 2.964519, 2.993269],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[2.371717, 2.371717, 2.371717, ..., 2.423811, 2.423811, 2.423811],\n", + " [0.878347, 0.878347, 0.878347, ..., 0.883431, 0.883431, 0.883431],\n", + " [0.708464, 0.708464, 0.708464, ..., 0.705951, 0.705951, 0.705951],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-45.916311, -45.916311, -45.916311, ..., -45.916311, -45.916311,\n", + " -45.916311],\n", + " [-45.436643, -45.435399, -45.434298, ..., nan, nan,...\n", + " y: array([[-45.916311, -45.916311, -45.916311, ..., -45.916311, -45.916311,\n", + " -45.916311],\n", + " [-45.436643, -45.435399, -45.434298, ..., -45.438535, -45.437814,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-48.837715, -48.645334, -48.638652, ..., -48.660212, -48.817613,\n", + " -48.626046],\n", + " [-48.652384, -48.540352, -48.466836, ..., -48.468291, -48.434021,...\n", + " y: array([[-48.837715, -48.645334, -48.638652, ..., -48.660212, -48.817613,\n", + " -48.626046],\n", + " [-48.652384, -48.540352, -48.466836, ..., -48.468291, -48.434021,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-49.424043, -49.424043, -49.424043, ..., -49.424043, -49.424043,\n", + " -49.424043],\n", + " [-48.915167, -48.900075, -48.884955, ..., -48.959809, nan,...\n", + " y: array([[-49.424043, -49.424043, -49.424043, ..., -49.424043, -49.424043,\n", + " -49.424043],\n", + " [-48.915167, -48.900075, -48.884955, ..., -48.959809, -48.944949,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-48.837715, -48.645334, -48.638652, ..., -48.660212, -48.817613,\n", + " -48.626046],\n", + " [-48.652384, -48.540352, -48.466836, ..., -48.468291, -48.434021,...\n", + " y: array([[-48.837715, -48.645334, -48.638652, ..., -48.660212, -48.817613,\n", + " -48.626046],\n", + " [-48.652384, -48.540352, -48.466836, ..., -48.468291, -48.434021,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-ANN-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-ANN-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-DJF-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-DJF-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-JJA-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-JJA-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-MAM-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-MAM-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-SON-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO-SON-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-DJF-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-DJF-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-MAM-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-MAM-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-SON-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDOC-SON-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-DJF-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-DJF-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-MAM-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-MAM-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-SON-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ALBEDO_SRF-SON-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-DJF-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-DJF-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-MAM-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-MAM-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-SON-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-AODVIS-SON-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-DJF-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-DJF-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-MAM-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-MAM-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-SON-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_CAL-SON-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-DJF-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-MAM-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-SON-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU1.3_MODIS-SON-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDHGH_TAU9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-DJF-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-DJF-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-MAM-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-MAM-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-SON-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_CAL-SON-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-DJF-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-DJF-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-MAM-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-MAM-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-SON-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU1.3_MISR-SON-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDLOW_TAU9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-DJF-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-DJF-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-MAM-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-MAM-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-SON-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDMED_CAL-SON-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-DJF-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-DJF-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-MAM-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-MAM-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-SON-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_CAL-SON-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_ISCCP-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MISR-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU1.3_MODIS-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_ISCCP-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-CLDTOT_TAU9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-ANN-global_ref.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-ANN-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-DJF-global_ref.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-DJF-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-JJA-global_ref.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-JJA-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-MAM-global_ref.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-MAM-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-SON-global_ref.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-ERFtot-SON-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-DJF-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-DJF-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-MAM-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-MAM-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-SON-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDS-SON-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-DJF-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-DJF-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-MAM-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-MAM-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-SON-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLDSC-SON-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-DJF-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-DJF-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-MAM-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-MAM-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-SON-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNS-SON-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-DJF-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-DJF-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-MAM-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-MAM-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-SON-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLNSC-SON-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-DJF-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-DJF-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-MAM-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-MAM-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-SON-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUT-SON-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-DJF-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-DJF-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-MAM-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-MAM-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-SON-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FLUTC-SON-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-DJF-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-DJF-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-MAM-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-MAM-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-SON-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDS-SON-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-DJF-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-DJF-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-MAM-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-MAM-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-SON-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSDSC-SON-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-DJF-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-DJF-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-MAM-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-MAM-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-SON-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNS-SON-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-DJF-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-DJF-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-MAM-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-MAM-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-SON-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNSC-SON-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-DJF-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-DJF-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-MAM-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-MAM-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-SON-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOA-SON-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-DJF-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-DJF-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-MAM-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-MAM-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-SON-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-FSNTOAC-SON-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-DJF-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-DJF-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-MAM-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-MAM-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-SON-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LHFLX-SON-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-DJF-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-DJF-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-MAM-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-MAM-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-SON-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCF-SON-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-DJF-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-DJF-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-MAM-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-MAM-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-SON-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-LWCFSRF-SON-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-DJF-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-DJF-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-MAM-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-MAM-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-SON-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF-SON-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-DJF-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-DJF-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-JJA-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-MAM-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-MAM-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-SON-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NETCF_SRF-SON-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-DJF-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-DJF-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-MAM-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-MAM-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-SON-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-NET_FLUX_SRF-SON-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-200-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-500-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-OMEGA-850-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PRECT-SON-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-DJF-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-DJF-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-MAM-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-MAM-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-SON-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-PSL-SON-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-DJF-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-DJF-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-JJA-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-MAM-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-MAM-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-SON-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-QREFHT-SON-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-DJF-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-DJF-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-MAM-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-MAM-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-SON-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-RESTOM-SON-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-DJF-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-DJF-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-MAM-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-MAM-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-SON-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SHFLX-SON-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-DJF-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-DJF-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-MAM-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-MAM-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-SON-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SOLIN-SON-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-DJF-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-DJF-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-MAM-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-MAM-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-SON-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SST-SON-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-DJF-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-DJF-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-MAM-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-MAM-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-SON-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCF-SON-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-DJF-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-DJF-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-MAM-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-MAM-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-SON-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-SWCFSRF-SON-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-200-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-T-850-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-DJF-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-DJF-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-DJF-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-DJF-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-MAM-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-MAM-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-MAM-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-MAM-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-SON-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-SON-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-SON-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-SON-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-ANN-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-DJF-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-DJF-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-JJA-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-JJA-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-MAM-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-MAM-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-SON-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TGCLDLWP_OCN-SON-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-DJF-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-DJF-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-MAM-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-MAM-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-SON-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TMQ-SON-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-50.44272 , -50.44278 , -50.442932, ..., -50.443207, -50.442932,\n", + " nan],\n", + " [-50.32776 , -50.32776 , -50.32776 , ..., -50.32776 , -50.32776 ,...\n", + " y: array([[-50.44272 , -50.44278 , -50.442932, ..., -50.443207, -50.442932,\n", + " -50.44278 ],\n", + " [-50.32776 , -50.32776 , -50.32776 , ..., -50.32776 , -50.32776 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-34.36612 , -34.36615 , -34.36624 , ..., -34.36641 , -34.36624 ,\n", + " nan],\n", + " [-34.299225, -34.299225, -34.299225, ..., -34.299225, -34.299225,...\n", + " y: array([[-34.36612 , -34.36615 , -34.36624 , ..., -34.36641 , -34.36624 ,\n", + " -34.36615 ],\n", + " [-34.299225, -34.299225, -34.299225, ..., -34.299225, -34.299225,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-60.02289 , -60.02295 , -60.023148, ..., -60.023468, -60.023148,\n", + " nan],\n", + " [-59.887238, -59.887238, -59.887238, ..., -59.887238, -59.887238,...\n", + " y: array([[-60.02289 , -60.02295 , -60.023148, ..., -60.023468, -60.023148,\n", + " -60.02295 ],\n", + " [-59.887238, -59.887238, -59.887238, ..., -59.887238, -59.887238,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-56.276596, -56.276672, -56.27687 , ..., -56.27722 , -56.27687 ,\n", + " nan],\n", + " [-56.13353 , -56.13353 , -56.13353 , ..., -56.13353 , -56.13353 ,...\n", + " y: array([[-56.276596, -56.276672, -56.27687 , ..., -56.27722 , -56.27687 ,\n", + " -56.276672],\n", + " [-56.13353 , -56.13353 , -56.13353 , ..., -56.13353 , -56.13353 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-50.759216, -50.759277, -50.75943 , ..., -50.759705, -50.75943 ,\n", + " nan],\n", + " [-50.64604 , -50.64604 , -50.64604 , ..., -50.64604 , -50.64604 ,...\n", + " y: array([[-50.759216, -50.759277, -50.75943 , ..., -50.759705, -50.75943 ,\n", + " -50.759277],\n", + " [-50.64604 , -50.64604 , -50.64604 , ..., -50.64604 , -50.64604 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-200-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U-850-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-ANN-global_ref.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-DJF-global_ref.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-DJF-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-JJA-global_ref.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-MAM-global_ref.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-MAM-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-SON-global_ref.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-U10-SON-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-DJF-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-DJF-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-MAM-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-MAM-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-SON-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-Z3-500-SON-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-DJF-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-MAM-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODDUST-SON-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-DJF-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-DJF-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-MAM-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-MAM-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-SON-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MACv2-AODVIS-SON-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-DJF-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-DJF-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-MAM-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-MAM-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-SON-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-SON-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-DJF-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-DJF-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-DJF-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-DJF-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-MAM-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-MAM-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-MAM-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-MAM-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-SON-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-SON-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-SON-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-SON-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-DJF-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-DJF-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-MAM-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-MAM-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-SON-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-SON-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-DJF-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-DJF-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-MAM-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-MAM-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-SON-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-SON-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-DJF-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-DJF-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-MAM-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-MAM-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-SON-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-SON-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-DJF-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-DJF-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-MAM-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-MAM-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-SON-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-SON-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-DJF-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-DJF-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-MAM-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-MAM-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-SON-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-SON-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-DJF-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-DJF-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-MAM-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-MAM-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-SON-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-SON-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-DJF-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-DJF-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-MAM-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-MAM-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-SON-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-SON-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-DJF-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-DJF-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-MAM-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-MAM-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-SON-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-SON-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-DJF-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-DJF-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-MAM-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-MAM-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-SON-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-SON-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-DJF-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-DJF-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-MAM-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-MAM-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-SON-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-SON-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-DJF-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-DJF-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-MAM-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-MAM-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-SON-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-SON-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-DJF-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-DJF-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-MAM-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-MAM-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-SON-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-SON-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-DJF-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-DJF-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-MAM-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-MAM-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-SON-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-SON-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-DJF-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-DJF-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-MAM-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-MAM-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-SON-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-SON-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-DJF-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-DJF-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-MAM-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-MAM-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-SON-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-SON-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-DJF-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-DJF-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-MAM-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-MAM-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-SON-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-SON-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-DJF-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-DJF-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-MAM-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-MAM-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-SON-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-SON-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-DJF-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-DJF-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-MAM-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-MAM-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-SON-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-SON-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-DJF-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-DJF-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-MAM-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-MAM-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-SON-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-SON-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-DJF-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-DJF-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-MAM-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-MAM-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-SON-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-SON-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-DJF-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-DJF-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-MAM-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-MAM-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-SON-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-SON-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-DJF-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-DJF-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-MAM-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-MAM-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-SON-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-SON-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-DJF-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-DJF-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-MAM-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-MAM-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-SON-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-SON-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "(shapes (107, 256), (108, 256) mismatch)\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-DJF-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-DJF-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-DJF-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-DJF-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "(shapes (107, 256), (108, 256) mismatch)\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "(shapes (107, 256), (108, 256) mismatch)\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-MAM-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-MAM-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "(shapes (107, 256), (108, 256) mismatch)\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-SON-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-SON-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "(shapes (107, 256), (108, 256) mismatch)\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-DJF-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-DJF-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-MAM-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-MAM-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-SON-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-SON-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-DJF-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-DJF-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-MAM-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-MAM-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-SON-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-SON-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-DJF-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-DJF-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-MAM-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-MAM-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-SON-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-SON-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-DJF-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-DJF-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-MAM-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-MAM-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-SON-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-SON-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 10368 / 10368 (100%)\n", + "Max absolute difference: 53.08825\n", + "Max relative difference: 1.\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[ 6.836297, 6.836297, 6.836297, ..., 8.73094 , 8.73094 ,\n", + " 8.73094 ],\n", + " [ 9.645343, 9.645343, 9.645343, ..., 7.921655, 7.921655,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 10368 / 10368 (100%)\n", + "Max absolute difference: 87.74811\n", + "Max relative difference: 1.\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[11.642273, 11.642273, 11.642273, ..., 15.010149, 15.010149,\n", + " 15.010149],\n", + " [13.580242, 13.580242, 13.580242, ..., 15.29873 , 15.29873 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 10368 / 10368 (100%)\n", + "Max absolute difference: 52.669422\n", + "Max relative difference: 1.\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[ 4.805976, 4.805976, 4.805976, ..., 6.27921 , 6.27921 ,\n", + " 6.27921 ],\n", + " [ 3.934899, 3.934899, 3.934899, ..., 7.377073, 7.377073,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39457 / 64800 (60.9%)\n", + "Max absolute difference: 22.411116\n", + "Max relative difference: 0.6832267\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35176 / 64800 (54.3%)\n", + "Max absolute difference: 24.81158\n", + "Max relative difference: 0.78059405\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 34699 / 64800 (53.5%)\n", + "Max absolute difference: 45.429226\n", + "Max relative difference: 0.9708206\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 36105 / 64800 (55.7%)\n", + "Max absolute difference: 30.681599\n", + "Max relative difference: 1.\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 36654 / 64800 (56.6%)\n", + "Max absolute difference: 20.475178\n", + "Max relative difference: 0.6053263\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39499 / 64800 (61%)\n", + "Max absolute difference: 37.673122\n", + "Max relative difference: 0.62295455\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-DJF-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35621 / 64800 (55%)\n", + "Max absolute difference: 42.459175\n", + "Max relative difference: 0.7752116\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-DJF-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35149 / 64800 (54.2%)\n", + "Max absolute difference: 67.89603\n", + "Max relative difference: 0.9691263\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-MAM-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 36312 / 64800 (56%)\n", + "Max absolute difference: 41.804516\n", + "Max relative difference: 0.9530566\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-MAM-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-SON-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 36787 / 64800 (56.8%)\n", + "Max absolute difference: 41.904636\n", + "Max relative difference: 0.64695966\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-SON-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39323 / 64800 (60.7%)\n", + "Max absolute difference: 31.085188\n", + "Max relative difference: 0.96666664\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 34485 / 64800 (53.2%)\n", + "Max absolute difference: 33.105377\n", + "Max relative difference: 0.99625933\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 33486 / 64800 (51.7%)\n", + "Max absolute difference: 63.126827\n", + "Max relative difference: 1.\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35402 / 64800 (54.6%)\n", + "Max absolute difference: 35.162907\n", + "Max relative difference: 0.9961185\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 35743 / 64800 (55.2%)\n", + "Max absolute difference: 30.59121\n", + "Max relative difference: 0.96700656\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-DJF-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-MAM-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-SON-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-SON-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-DJF-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-DJF-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-MAM-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-MAM-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-SON-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-SON-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-DJF-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-DJF-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-JJA-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-JJA-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-MAM-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-SON-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-DJF-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-DJF-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-MAM-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-MAM-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-SON-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FLNS-SON-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-DJF-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-DJF-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-MAM-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-MAM-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-SON-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-FSNS-SON-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-DJF-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-DJF-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-MAM-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-MAM-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-SON-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-LHFLX-SON-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-DJF-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-DJF-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-MAM-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-MAM-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-SON-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-SON-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-200-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-500-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-OMEGA-850-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PRECT-SON-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-DJF-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-DJF-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-MAM-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-MAM-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-SON-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-PSL-SON-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-DJF-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-DJF-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-MAM-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-MAM-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-SON-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-SHFLX-SON-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-200-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-T-850-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-DJF-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-DJF-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-DJF-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-DJF-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-MAM-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-MAM-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-MAM-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-MAM-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-SON-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-SON-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-SON-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-SON-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-DJF-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-DJF-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-MAM-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-MAM-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-SON-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TMQ-SON-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., nan, nan,...\n", + " y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-31.09439 , -31.09439 , -31.09439 , ..., -31.09439 , -31.09439 ,\n", + " -31.09439 ],\n", + " [-30.849213, -30.84906 , -30.849075, ..., nan, nan,...\n", + " y: array([[-31.09439 , -31.09439 , -31.09439 , ..., -31.09439 , -31.09439 ,\n", + " -31.09439 ],\n", + " [-30.849213, -30.84906 , -30.849075, ..., -30.849228, -30.849197,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355,\n", + " -53.867355],\n", + " [-53.28177 , -53.27997 , -53.27826 , ..., nan, nan,...\n", + " y: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355,\n", + " -53.867355],\n", + " [-53.28177 , -53.27997 , -53.27826 , ..., -53.284897, -53.28383 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-50.700424, -50.700424, -50.700424, ..., -50.700424, -50.700424,\n", + " -50.700424],\n", + " [-50.166718, -50.164963, -50.16313 , ..., nan, nan,...\n", + " y: array([[-50.700424, -50.700424, -50.700424, ..., -50.700424, -50.700424,\n", + " -50.700424],\n", + " [-50.166718, -50.164963, -50.16313 , ..., -50.169525, -50.168625,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-45.767548, -45.767548, -45.767548, ..., -45.767548, -45.767548,\n", + " -45.767548],\n", + " [-45.39952 , -45.398636, -45.397827, ..., nan, nan,...\n", + " y: array([[-45.767548, -45.767548, -45.767548, ..., -45.767548, -45.767548,\n", + " -45.767548],\n", + " [-45.39952 , -45.398636, -45.397827, ..., -45.400772, -45.400375,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-200-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-U-850-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-DJF-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-DJF-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-MAM-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-MAM-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-SON-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-Z3-500-SON-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-DJF-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-DJF-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-MAM-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-MAM-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-SON-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-QREFHT-SON-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-DJF-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-DJF-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-MAM-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-MAM-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-SON-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5_ext-U10-SON-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-DJF-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-DJF-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-MAM-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-MAM-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-SON-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-SON-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-SON-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-SON-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-DJF-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-DJF-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-MAM-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-MAM-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-SON-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FLNS-SON-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-DJF-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-DJF-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-MAM-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-MAM-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-SON-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-FSNS-SON-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-DJF-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-DJF-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-MAM-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-MAM-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-SON-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-LHFLX-SON-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-DJF-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-DJF-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-MAM-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-MAM-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-SON-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-SON-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-200-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-500-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-OMEGA-850-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PRECT-SON-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-DJF-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-DJF-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-MAM-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-MAM-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-SON-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-PSL-SON-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-DJF-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-DJF-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-MAM-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-MAM-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-SON-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-SHFLX-SON-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-200-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-T-850-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-DJF-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-DJF-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-DJF-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-DJF-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-MAM-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-MAM-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-MAM-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-MAM-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-SON-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-SON-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-SON-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-SON-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-DJF-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-DJF-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-MAM-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-MAM-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-SON-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TMQ-SON-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , nan,...\n", + " y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-32.33574 , -32.33574 , -32.33574 , ..., -32.33574 , -32.33574 ,\n", + " -32.33574 ],\n", + " [-31.969177, -31.969116, -31.96907 , ..., -31.969559, nan,...\n", + " y: array([[-32.33574 , -32.33574 , -32.33574 , ..., -32.33574 , -32.33574 ,\n", + " -32.33574 ],\n", + " [-31.969177, -31.969116, -31.96907 , ..., -31.969559, -31.96939 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 ,\n", + " -60.34648 ],\n", + " [-59.765793, -59.740402, -59.71486 , ..., -59.841125, nan,...\n", + " y: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 ,\n", + " -60.34648 ],\n", + " [-59.765793, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-55.92218 , -55.92218 , -55.92218 , ..., -55.92218 , -55.92218 ,\n", + " -55.92218 ],\n", + " [-55.460968, -55.440155, -55.41919 , ..., -55.522675, nan,...\n", + " y: array([[-55.92218 , -55.92218 , -55.92218 , ..., -55.92218 , -55.92218 ,\n", + " -55.92218 ],\n", + " [-55.460968, -55.440155, -55.41919 , ..., -55.522675, -55.502274,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-50.38466 , -50.38466 , -50.38466 , ..., -50.38466 , -50.38466 ,\n", + " -50.38466 ],\n", + " [-49.98343 , -49.969604, -49.955795, ..., -50.024246, nan,...\n", + " y: array([[-50.38466 , -50.38466 , -50.38466 , ..., -50.38466 , -50.38466 ,\n", + " -50.38466 ],\n", + " [-49.98343 , -49.969604, -49.955795, ..., -50.024246, -50.010696,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-200-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-U-850-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-DJF-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-DJF-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-MAM-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-MAM-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-SON-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-Z3-500-SON-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-DJF-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-DJF-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-MAM-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-MAM-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-SON-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-SON-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-DJF-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-MAM-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_HadISST/HadISST-SST-SON-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-DJF-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-DJF-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-MAM-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-MAM-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-SON-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-SON-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-DJF-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-DJF-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-MAM-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-MAM-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-SON-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-SON-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-DJF-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-DJF-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-MAM-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-MAM-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-SON-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-SON-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-DJF-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-DJF-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-MAM-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-MAM-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-SON-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-SON-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "(shapes (107, 256), (108, 256) mismatch)\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 10368 / 10368 (100%)\n", + "Max absolute difference: 53.08825\n", + "Max relative difference: 1.\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[ 6.836297, 6.836297, 6.836297, ..., 8.73094 , 8.73094 ,\n", + " 8.73094 ],\n", + " [ 9.645343, 9.645343, 9.645343, ..., 7.921655, 7.921655,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 10368 / 10368 (100%)\n", + "Max absolute difference: 87.74811\n", + "Max relative difference: 1.\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[11.642273, 11.642273, 11.642273, ..., 15.010149, 15.010149,\n", + " 15.010149],\n", + " [13.580242, 13.580242, 13.580242, ..., 15.29873 , 15.29873 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 10368 / 10368 (100%)\n", + "Max absolute difference: 52.669422\n", + "Max relative difference: 1.\n", + " x: array([[0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],\n", + " [0., 0., 0., ..., 0., 0., 0.],...\n", + " y: array([[ 4.805976, 4.805976, 4.805976, ..., 6.27921 , 6.27921 ,\n", + " 6.27921 ],\n", + " [ 3.934899, 3.934899, 3.934899, ..., 7.377073, 7.377073,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39457 / 64800 (60.9%)\n", + "Max absolute difference: 22.411116\n", + "Max relative difference: 0.6832267\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39499 / 64800 (61%)\n", + "Max absolute difference: 37.673122\n", + "Max relative difference: 0.62295455\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 39323 / 64800 (60.7%)\n", + "Max absolute difference: 31.085188\n", + "Max relative difference: 0.96666664\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_ref.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud SSM/I/SSMI-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., nan, nan,...\n", + " y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-U10-ANN-global_ref.nc\n", + " * var_key: U10\n", + " * Could not find variable key in the dataset(s)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , nan,...\n", + " y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5 (relative difference)/ERA5-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-DJF-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-DJF-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-MAM-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-MAM-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-T-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/ERA5/ERA5-U-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2 (relative difference)/MERRA2-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-DJF-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-DJF-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-MAM-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-MAM-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/zonal_mean_2d/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-dev/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex7_obs_vs_obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v2.8-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "results = _get_relative_diffs()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "(\n", + " missing_files,\n", + " matching_files,\n", + " mismatch_errors,\n", + " not_equal_errors,\n", + " key_errors,\n", + ") = results.values()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "sum_files_compared = (\n", + " len(matching_files)\n", + " + len(mismatch_errors)\n", + " + len(not_equal_errors)\n", + " + len(key_errors)\n", + " + len(missing_files)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Close results\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching files count: 1993/2078, 95.91%\n" + ] + } + ], + "source": [ + "pct_match = (len(matching_files) / sum_files_compared) * 100\n", + "\n", + "print(\n", + " f\"Matching files count: {len(matching_files)}/{sum_files_compared}, {pct_match:.2f}%\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Missing Files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing files count: 0, 0.00%\n" + ] + } + ], + "source": [ + "pct_missing = (len(missing_files) / sum_files_compared) * 100\n", + "\n", + "print(f\"Missing files count: {len(missing_files)}, {pct_missing:.2f}%\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### `NaN` Mismatching Errors (Not concerned)\n", + "\n", + "I found these `nan` mismatch errors occur due to either:\n", + "\n", + "1. Regional subsetting on \"ccb\" flag in CDAT adding a coordinate points -- removing these coordinates results in matching results\n", + "2. Slightly different masking in the data between xCDAT and CDAT via xESMF/ESMF -- same number of nans just slightly shifted over some coordinates points\n", + "\n", + "- Refer to PR [#794](https://github.com/E3SM-Project/e3sm_diags/pull/794)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mismatch errors count: 61, 0.00%\n" + ] + } + ], + "source": [ + "pct_mismatch = (len(mismatch_errors) / sum_files_compared) * 100\n", + "\n", + "print(f\"Mismatch errors count: {len(mismatch_errors)}, {pct_missing:.2f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TAUXY-ANN-ocean_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMNAV-ANN-land_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREFMXAV-ANN-land_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex2_modTS_vs_modTS_CMIP_3years/lat_lon/model_vs_model/-TREF_range-ANN-land_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex3_modTS_CMIP_vs_obs_2years/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-DJF-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-JJA-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-MAM-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TAUXY-SON-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-ANN-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-DJF-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-JJA-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-MAM-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex4_model_to_model/lat_lon/model_vs_model/20161118.beta0.F1850COSP.ne30_ne30.edison-TREFHT-SON-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-DJF-land_60S90N_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-DJF-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-MAM-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/CRU_IPCC/CRU-TREFHT-SON-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-DJF-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-MAM-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TAUXY-SON-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-DJF-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-MAM-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/ERA5/ERA5-TREFHT-SON-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-DJF-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-MAM-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TAUXY-SON-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-DJF-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-MAM-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/MERRA2/MERRA2-TREFHT-SON-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc']" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mismatch_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Not Equal Errors (Not concerned)\n", + "\n", + "Refer to GH PR [#794](https://github.com/E3SM-Project/e3sm_diags/pull/794)\n", + "\n", + "> The following variables have large diffs due to a bug on main: MISRCOSP-CLDLOW_TAU1.3_9.4_MISR, MISRCOSP-CLDLOW_TAU1.3_MISR, MISRCOSP-CLDLOW_TAU9.4_MISR. I believe this branch is doing the correct thing. We can revisit the comparison for these variables once the issue below is fixed on main.\n", + ">\n", + "> [\\[Bug\\]: Silent bug in adjust_prs_val_units() conditional where if prs_val0: will be False if prs_val0 is 0 #797](https://github.com/E3SM-Project/e3sm_diags/issues/797)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Not equal to tolerance count: 24, 1.15%\n" + ] + } + ], + "source": [ + "pct_not_equal_errors = (len(not_equal_errors) / sum_files_compared) * 100\n", + "\n", + "print(\n", + " f\"Not equal to tolerance count: {len(not_equal_errors)}, {pct_not_equal_errors:.2f}%\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-DJF-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-MAM-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-SON-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-DJF-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-MAM-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-SON-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-DJF-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-MAM-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex5_model_to_obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-SON-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/examples-main/ex6_zonal_mean_2d_and_lat_lon_demo/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc']" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "not_equal_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Key Errors (None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key errors count: 0\n" + ] + } + ], + "source": [ + "print(f\"Key errors count: {len(key_errors)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "- After testing all of the examples, we should be good to go here.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/fix_isccpcosp_ann_climo_nc_calendar.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/fix_isccpcosp_ann_climo_nc_calendar.py new file mode 100644 index 000000000..dee0ccc97 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/fix_isccpcosp_ann_climo_nc_calendar.py @@ -0,0 +1,47 @@ +# %% +from datetime import datetime +from dateutil import parser +from dateutil import relativedelta as rd + +import numpy as np +import xarray as xr +import xcdat as xc + + +# %% +# Reproduce error: ValueError: Non-integer years and months are ambiguous and not currently supported. +# ------------------------------------------------------------------------------------------- + +filepath = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/climatology/ISCCPCOSP/ISCCPCOSP_ANN_climo.nc" +ds = xc.open_dataset(filepath, decode_times=True) + + +# %% +# Debug -- issue is that the time value is a float representing middle of the month (150.5). +# relativedelta expects a time value at the beginning of the month (e.g,. 150). +# ----- + +flat_offsets = np.array([150.5]) +ref_date = "1983-06" +units_type = "months" + +ref_datetime: datetime = parser.parse(ref_date, default=datetime(2000, 1, 1)) + + +# ValueError: Non-integer years and months are ambiguous and not currently supported. +times = np.array( + [ + ref_datetime + rd.relativedelta(**{units_type: offset}) + for offset in flat_offsets + ], + dtype="object", +) + +# %% +# Fix error -- replace 150.5 (middle month float) with 150 (integer month) +# ----------------------------------------------------------------------------- +ds = xc.open_dataset(filepath, decode_times=False) +ds.time.values[:] = 150 +ds.to_netcdf(filepath) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/run.cfg b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/run.cfg new file mode 100644 index 000000000..3a1ffdbc5 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/ex-scripts/run.cfg @@ -0,0 +1,44 @@ + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +# seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU1.3_9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +# seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN", ] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] + + +[#] +sets = ["lat_lon"] +case_id = "Cloud ISCCP" +variables = ["CLDTOT_TAU9.4_ISCCP"] +ref_name = "ISCCPCOSP" +reference_name = "ISCCP" +# seasons = ["ANN", "01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12", "DJF", "MAM", "JJA", "SON"] +seasons = ["ANN"] +test_colormap = "Blues" +reference_colormap = "Blues" +diff_colormap = "RdBu" +contour_levels = [5, 15, 25, 35, 45, 55, 65, 75, 85, 95] +diff_levels = [-30, -25, -20, -15, -10, -5, 5, 10, 15, 20, 25, 30] diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_netcdf.ipynb new file mode 100644 index 000000000..b42d30f99 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_netcdf.ipynb @@ -0,0 +1,1334 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "DEV_DIR = \"843-migration-phase3-model-vs-model\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{DEV_DIR}/\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_DIR = \"main-model-vs-model\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)\n", + "\n", + "\n", + "def _remove_unwanted_files(file_glob: List[str]) -> List[str]:\n", + " \"\"\"Remove files that we don't want to compare.\n", + "\n", + " * area_mean_time_series -- `main` does not generate netCDF\n", + " * enso_diags -- `main` does not generate netCDF\n", + " * qbo -- variable name differs\n", + " * diurnal_cycle -- variable name differs\n", + " * diff -- comparing the difference between regridded files is not helpful\n", + " between branches because of the influence in floating point errors.\n", + "\n", + " Parameters\n", + " ----------\n", + " file_glob : List[str]\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " List[str]\n", + " _description_\n", + " \"\"\"\n", + "\n", + " new_glob = []\n", + "\n", + " for fp in file_glob:\n", + " if (\n", + " \"area_mean_time_series\" in fp\n", + " or \"enso_diags\" in fp\n", + " # or \"qbo\" in fp\n", + " or \"diurnal_cycle\" in fp\n", + " or \"diff\" in fp\n", + " ):\n", + " continue\n", + "\n", + " new_glob.append(fp)\n", + "\n", + " return new_glob\n", + "\n", + "\n", + "DEV_GLOB = _remove_unwanted_files(DEV_GLOB)\n", + "MAIN_GLOB = _remove_unwanted_files(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_dev_files = []\n", + " missing_main_files = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_PATH, DEV_PATH)\n", + "\n", + " if fp_dev not in DEV_GLOB:\n", + " missing_dev_files.append(fp_dev)\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(DEV_PATH, MAIN_PATH)\n", + "\n", + " if fp_main not in MAIN_GLOB:\n", + " missing_main_files.append(fp_main)\n", + "\n", + " return missing_dev_files, missing_main_files" + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " results = {\n", + " \"missing_files\": [],\n", + " \"matching_files\": [],\n", + " \"mismatch_errors\": [],\n", + " \"not_equal_errors\": [],\n", + " \"key_errors\": [],\n", + " }\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(f\"main/{MAIN_DIR}\", DEV_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " try:\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + " except FileNotFoundError as e:\n", + " print(f\" {e}\")\n", + "\n", + " if isinstance(e, FileNotFoundError):\n", + " results[\"missing_files\"].append(fp_dev)\n", + "\n", + " continue\n", + "\n", + " if \"qbo\" in fp_main:\n", + " dev_data = ds1[\"U\"].values\n", + " main_data = ds2[\"U\"].values\n", + " else:\n", + " var_key = fp_main.split(\"-\")[-3]\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " results[\"matching_files\"].append(fp_main)\n", + " except (KeyError, AssertionError) as e:\n", + " msg = str(e)\n", + "\n", + " print(f\" {msg}\")\n", + " if \"mismatch\" in msg:\n", + " results[\"mismatch_errors\"].append(fp_main)\n", + " elif \"Not equal to tolerance\" in msg:\n", + " results[\"not_equal_errors\"].append(fp_main)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + " return results\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " try:\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " except KeyError:\n", + " var_keys = DERIVED_VARIABLES[var_key.upper()].keys()\n", + "\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "metadata": {}, + "outputs": [], + "source": [ + "DEV_GLOB = [fp for fp in DEV_GLOB if \"diff.nc\" not in fp]\n", + "MAIN_GLOB = [fp for fp in MAIN_GLOB if \"diff.nc\" not in fp]" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(144, 128)" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(DEV_GLOB), len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing dev files: 0\n", + "Missing main files: 16\n" + ] + } + ], + "source": [ + "missing_dev_files, missing_main_files = _check_if_missing_files()\n", + "\n", + "print(f\"Missing dev files: {len(missing_dev_files)}\")\n", + "print(f\"Missing main files: {len(missing_main_files)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Check missing dev files:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_dev_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Check missing main files:\n", + "\n", + "Results:\n", + "\n", + "- `main` no files for variables:\n", + "\n", + " - `lat_lon`\n", + "\n", + "```python\n", + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-JJA-global_test.nc']\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-JJA-global_test.nc']" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_main_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO-ANN-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO-JJA-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ERFtot-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ERFtot-ANN-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ERFtot-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ERFtot-JJA-global_test.nc\n", + " * var_key: ERFtot\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TCO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TCO-ANN-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TCO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TCO-JJA-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-ANN-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-JJA-global_test.nc\n", + " * var_key: TGCLDLWP_OCN\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-land_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-land_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-land_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-land_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-land_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-land_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "results = _get_relative_diffs()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [], + "source": [ + "(\n", + " missing_files,\n", + " matching_files,\n", + " mismatch_errors,\n", + " not_equal_errors,\n", + " key_errors,\n", + ") = results.values()" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [], + "source": [ + "sum_files_compared = (\n", + " len(matching_files)\n", + " + len(mismatch_errors)\n", + " + len(not_equal_errors)\n", + " + len(key_errors)\n", + " + len(missing_files)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Close results\n" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching files count: 128/128, 100.00%\n" + ] + } + ], + "source": [ + "pct_match = (len(matching_files) / sum_files_compared) * 100\n", + "\n", + "print(\n", + " f\"Matching files count: {len(matching_files)}/{sum_files_compared}, {pct_match:.2f}%\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing files count: 0/128, 0.00%\n" + ] + } + ], + "source": [ + "pct_missing = (len(missing_files) / sum_files_compared) * 100\n", + "\n", + "print(\n", + " f\"Missing files count: {len(missing_files)}/{sum_files_compared}, {pct_missing:.2f}%\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### `NaN` Mismatching Errors (Not concerned)\n", + "\n", + "I found these `nan` mismatch errors occur due to either:\n", + "\n", + "1. Regional subsetting on \"ccb\" flag in CDAT adding a coordinate points -- removing these coordinates results in matching results\n", + "2. Slightly different masking in the data between xCDAT and CDAT via xESMF/ESMF -- same number of nans just slightly shifted over some coordinates points\n", + "\n", + "- Refer to PR [#794](https://github.com/E3SM-Project/e3sm_diags/pull/794)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mismatch errors count: 0/128, 0.00%\n" + ] + } + ], + "source": [ + "pct_mismatch = (len(mismatch_errors) / sum_files_compared) * 100\n", + "\n", + "print(\n", + " f\"Mismatch errors count: {len(mismatch_errors)}/{sum_files_compared}, {pct_missing:.2f}%\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Not Equal Errors (Not concerned)\n", + "\n", + "Refer to GH PR [#794](https://github.com/E3SM-Project/e3sm_diags/pull/794)\n", + "\n", + "> The following variables have large diffs due to a bug on main: MISRCOSP-CLDLOW_TAU1.3_9.4_MISR, MISRCOSP-CLDLOW_TAU1.3_MISR, MISRCOSP-CLDLOW_TAU9.4_MISR. I believe this branch is doing the correct thing. We can revisit the comparison for these variables once the issue below is fixed on main.\n", + ">\n", + "> [\\[Bug\\]: Silent bug in adjust_prs_val_units() conditional where if prs_val0: will be False if prs_val0 is 0 #797](https://github.com/E3SM-Project/e3sm_diags/issues/797)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Not equal to tolerance count: 0/128, 0.00%\n" + ] + } + ], + "source": [ + "pct_not_equal_errors = (len(not_equal_errors) / sum_files_compared) * 100\n", + "\n", + "print(\n", + " f\"Not equal to tolerance count: {len(not_equal_errors)}/{sum_files_compared}, {pct_not_equal_errors:.2f}%\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "not_equal_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Key Errors (None)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key errors count: 0\n" + ] + } + ], + "source": [ + "print(f\"Key errors count: {len(key_errors)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- 124/128 variables within rtol\n", + "- 4/128 not within rtol, but not of concern because there is a bug on `main`\n", + " - TODO: Investigate the missing `lat_lon` variables on `main`\n", + "\n", + "```python\n", + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-JJA-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-JJA-global_test.nc']\n", + "```\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_png.ipynb b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_png.ipynb new file mode 100644 index 000000000..37ca2d46b --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/model_vs_model_png.ipynb @@ -0,0 +1,852 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "DEV_DIR = \"843-migration-phase3-model-vs-model\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{DEV_DIR}/\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_DIR = \"main-model-vs-model\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_dev_files = []\n", + " missing_main_files = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_PATH, DEV_PATH)\n", + "\n", + " if fp_dev not in DEV_GLOB:\n", + " missing_dev_files.append(fp_dev)\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(DEV_PATH, MAIN_PATH)\n", + "\n", + " if fp_main not in MAIN_GLOB:\n", + " missing_main_files.append(fp_main)\n", + "\n", + " return missing_dev_files, missing_main_files" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(300, 143)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(DEV_GLOB), len(MAIN_GLOB)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "missing_dev_files, missing_main_files = _check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_dev_files" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-200-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-500-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-OMEGA-850-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-200-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-T-850-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-200-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U-850-JJA-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-ANN-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-Z3-500-JJA-global.png']" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "[f for f in missing_main_files if \"diff\" not in f]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (300 vs. 143).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[13], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[6], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (300 vs. 143)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/FLUT/FLUT.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/FLUT/FLUT.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/FLUT_diff/FLUT.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/FSNTOA/FSNTOA.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/FSNTOA/FSNTOA.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/FSNTOA_diff/FSNTOA.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/LHFLX/LHFLX.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/LHFLX/LHFLX.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/LHFLX_diff/LHFLX.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/LWCF/LWCF.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/LWCF/LWCF.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/LWCF_diff/LWCF.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/PRECT/PRECT.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/PRECT/PRECT.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/PRECT_diff/PRECT.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/QFLX/QFLX.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/QFLX/QFLX.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/QFLX_diff/QFLX.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/SHFLX/SHFLX.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/SHFLX/SHFLX.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/SHFLX_diff/SHFLX.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/SWCF/SWCF.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/SWCF/SWCF.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/SWCF_diff/SWCF.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/area_mean_time_series/TREFHT/TREFHT.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/TREFHT/TREFHT.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/area_mean_time_series/TREFHT_diff/TREFHT.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ALBEDO-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ALBEDO-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ALBEDO-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ALBEDO-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ALBEDOC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ALBEDOC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ALBEDOC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ALBEDO_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ALBEDO_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ALBEDO_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-AODVIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-AODVIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-AODVIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-AODVIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-AODVIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-AODVIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDMED_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDMED_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDMED_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ERFtot-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ERFtot-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ERFtot-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-ERFtot-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-ERFtot-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-ERFtot-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLUT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLUT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLUT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLUT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUTC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLUTC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLUTC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FLUTC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FLUTC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FLUTC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNTOA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNTOA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNTOA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNTOA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNTOAC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-FSNTOAC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-FSNTOAC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-LWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-LWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-LWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-LWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-LWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-LWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-LWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-NETCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-NETCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-NETCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-NETCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-NETCF_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-NETCF_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-NETCF_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-NET_FLUX_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-NET_FLUX_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-NET_FLUX_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PSL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-PSL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-PSL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-PSL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-PSL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-PSL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-QREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-QREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-QREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-QREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-QREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-QREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-RESTOM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-RESTOM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-RESTOM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-RESTOM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-RESTOM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-RESTOM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SOLIN-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SOLIN-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SOLIN-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SOLIN-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SOLIN-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SOLIN-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-SWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-SWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TAUXY-ANN-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TAUXY-ANN-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TAUXY-ANN-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TAUXY-JJA-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TAUXY-JJA-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TAUXY-JJA-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TCO-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TCO-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TCO-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TCO-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TCO-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TCO-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TGCLDLWP_OCN-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TGCLDLWP_OCN-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TGCLDLWP_OCN-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TMQ-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TMQ-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFHT-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFHT-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFHT-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFHT-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMNAV-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMNAV-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMNAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMNAV-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMNAV-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMXAV-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMXAV-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMXAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREFMXAV-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREFMXAV-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREF_range-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREF_range-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREF_range-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREF_range-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-TREF_range-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-TREF_range-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U10-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-U10-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-U10-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/lat_lon/model_vs_model/-U10-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model/-U10-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/lat_lon/model_vs_model_diff/-U10-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data_diff/ANN_metrics_taylor_diag_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data_diff/ANN_metrics_taylor_diag_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data_diff/JJA_metrics_taylor_diag_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/taylor-diagram-data_diff/JJA_metrics_taylor_diag_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/viewer/viewer/e3sm_logo.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-model/viewer/viewer/e3sm_logo.png\n", + " * Plots are identical\n" + ] + } + ], + "source": [ + "for main_path in MAIN_GLOB:\n", + " dev_path = main_path.replace(MAIN_PATH, DEV_PATH)\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All the plots are virtually identical. There looks like one red dot that is different, which creates a diff plot.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/run_script.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/run_script.py new file mode 100644 index 000000000..ef78ebc39 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/run_script.py @@ -0,0 +1,298 @@ +""" +Make sure to run the machine-specific commands below before +running this script: + +Compy: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh + +LCRC: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh + Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh + +NERSC perlmutter cpu: + salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh +""" +# flake8: noqa E501 + +import os +from typing import Tuple, TypedDict + +from mache import MachineInfo + +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner + + +class MachinePaths(TypedDict): + html_path: str + obs_climo: str + test_climo: str + obs_ts: str + test_ts: str + dc_obs_climo: str + dc_test_climo: str + arm_obs: str + arm_test: str + tc_obs: str + tc_test: str + + +def run_all_sets(): + machine_paths: MachinePaths = _get_machine_paths() + + param = CoreParameter() + + param.reference_data_path = machine_paths["obs_climo"] + param.test_data_path = machine_paths["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + param.results_dir = ( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3" + ) + run_type = "model_vs_model" + param.multiprocessing = True + param.num_workers = 24 + param.run_type = run_type + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = machine_paths["obs_ts"] + enso_param.test_data_path = machine_paths["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + enso_param.run_type = run_type + + qbo_param = QboParameter() + qbo_param.reference_data_path = machine_paths["obs_ts"] + qbo_param.test_data_path = machine_paths["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + qbo_param.run_type = run_type + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = machine_paths["obs_ts"] + ts_param.test_data_path = machine_paths["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + ts_param.run_type = run_type + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = machine_paths["dc_obs_climo"] + dc_param.test_data_path = machine_paths["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + dc_param.run_type = run_type + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = machine_paths["obs_ts"] + streamflow_param.test_data_path = machine_paths["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + streamflow_param.run_type = run_type + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = machine_paths["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = machine_paths["arm_test"] + arm_param.test_name = "e3sm_v2" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + arm_param.run_type = run_type + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = machine_paths["tc_obs"] + tc_param.test_data_path = machine_paths["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, use all available years form obs by default. + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + tc_param.run_type = run_type + + ac_param = ACzonalmeanParameter() + ac_param.run_type = run_type + + zm_param = ZonalMean2dStratosphereParameter() + zm_param.run_type = run_type + + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + mp_param.run_type = run_type + + param.save_netcdf = True + runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "zonal_mean_2d_stratosphere", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "annual_cycle_zonal_mean", + "enso_diags", + "qbo", + "area_mean_time_series", + "diurnal_cycle", + "streamflow", + "arm_diags", + "tc_analysis", + "aerosol_aeronet", + "aerosol_budget", + "mp_partition", + ] + + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + mp_param, + ] + ) + + return param.results_dir + + +def _get_machine_paths() -> MachinePaths: + """Returns the paths on the machine that are required to run e3sm_diags. + + Returns + ------- + MachinePaths + A dictionary of paths on the machine, with the key being the path type + and the value being the absolute path string. + """ + # Get the current machine's configuration info. + machine_info = MachineInfo() + machine = machine_info.machine + + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: + raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") + + # Path to the HTML outputs for the current user. + web_portal_base_path = machine_info.config.get("web_portal", "base_path") + html_path = f"{web_portal_base_path}/{machine_info.username}/" + + # Path to the reference data directory. + diags_base_path = machine_info.diagnostics_base + ref_data_dir = f"{diags_base_path}/observations/Atm" + + # Paths to the test data directories. + test_data_dir, test_data_dir2 = _get_test_data_dirs(machine) + + # Construct the paths required by e3sm_diags using the base paths above. + machine_paths: MachinePaths = { + "html_path": html_path, + "obs_climo": f"{ref_data_dir}/climatology", + "test_climo": f"{test_data_dir}/climatology/rgr/", + "obs_ts": f"{ref_data_dir}/time-series/", + "test_ts": f"{test_data_dir}/time-series/rgr/", + "dc_obs_climo": f"{ref_data_dir}/climatology", + "dc_test_climo": f"{test_data_dir}/diurnal_climatology/rgr", + "arm_obs": f"{ref_data_dir}/arm-diags-data/", + "arm_test": f"{test_data_dir2}/arm-diags-data/", + "tc_obs": f"{ref_data_dir}/tc-analysis/", + "tc_test": f"{test_data_dir}/tc-analysis/", + } + + return machine_paths + + +def _get_test_data_dirs(machine: str) -> Tuple[str, str]: + """Get the directories for test data based on the machine. + + The second path is for using the high frequency grid box output at ARM sites + from another simulation when the output is available. + + Parameters + ---------- + machine : str + The name of the machine. + + Returns + ------- + Tuple[str, str] + A tuple of two strings, each representing a test data directory path. + """ + test_data_dirs = None + + # TODO: Update this function to use `mache` after the directories are updated. + if machine in ["chrysalis", "anvil"]: + base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["compy"]: + base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: + base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" + + test_data_dirs = ( + f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", + ) + + return test_data_dirs # type: ignore + + +if __name__ == "__main__": + run_all_sets() diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/fix_filenames.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/fix_filenames.py new file mode 100644 index 000000000..f99b4dcda --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/fix_filenames.py @@ -0,0 +1,24 @@ +""" +A script to update the filename for annual_cycle_zonal_mean files to align +with the dev branch. + +NOTE: Make sure to run this script before regression testing. +""" +import os + + +def replace_annual_cycle(root_dir): + for dirpath, _, filenames in os.walk(root_dir): + for filename in filenames: + if "Annual-Cycle" in filename: + old_file_path = os.path.join(dirpath, filename) + new_file_name = filename.replace("Annual-Cycle", "ANNUALCYCLE-global") + new_file_path = os.path.join(dirpath, new_file_name) + + print(f"Renaming file: {old_file_path} to {new_file_path}") + os.rename(old_file_path, new_file_path) + + +# Replace 'your_root_directory' with the path to your root directory +root_directory = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-model-vs-model/annual_cycle_zonal_mean" +replace_annual_cycle(root_directory) diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/parse_errors.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/parse_errors.py new file mode 100644 index 000000000..2861ecab5 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/scripts/parse_errors.py @@ -0,0 +1,23 @@ +import re + + +def parse_unique_errors_without_timestamp(log_file_path): + unique_errors = set() + timestamp_pattern = re.compile(r"^\d{2}-\d{2}-\d{2} \d{2}:\d{2}:\d{2} ") + + with open(log_file_path, "r") as file: + for line in file: + if "Error" in line or "error" in line or "ERROR" in line: + # Remove the timestamp + cleaned_line = timestamp_pattern.sub("", line).strip() + unique_errors.add(cleaned_line) + + print("Unique error messages without timestamp:") + for error in unique_errors: + print(error) + + +# Replace '24-09-24-main-log.txt' with the path to your log file +# log_file_path = "auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-model/24-09-24-main-log.txt" +log_file_path = "/global/u2/v/vo13/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/25-09-24-log.txt" +parse_unique_errors_without_timestamp(log_file_path) diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_netcdf.ipynb new file mode 100644 index 000000000..116f09cfe --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_netcdf.ipynb @@ -0,0 +1,7408 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "DEV_DIR = \"843-migration-phase3-model-vs-obs\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{DEV_DIR}/\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "\n", + "MAIN_DIR = \"main\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)\n", + "\n", + "\n", + "def _remove_unwanted_files(file_glob: List[str]) -> List[str]:\n", + " \"\"\"Remove files that we don't want to compare.\n", + "\n", + " * area_mean_time_series -- `main` does not generate netCDF\n", + " * enso_diags -- `main` does not generate netCDF\n", + " * qbo -- variable name differs\n", + " * diurnal_cycle -- variable name differs\n", + " * diff -- comparing the difference between regridded files is not helpful\n", + " between branches because of the influence in floating point errors.\n", + " * ERA5_ext-U10-ANN-global_ref and ERA5_ext-U10-JJA-global_ref -- dev\n", + " branch does not generate these files because it is a model-only run.\n", + "\n", + " Parameters\n", + " ----------\n", + " file_glob : List[str]\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " List[str]\n", + " _description_\n", + " \"\"\"\n", + "\n", + " new_glob = []\n", + "\n", + " for fp in file_glob:\n", + " if (\n", + " \"area_mean_time_series\" in fp\n", + " or \"enso_diags\" in fp\n", + " or \"qbo\" in fp\n", + " or \"diurnal_cycle\" in fp\n", + " or \"diff\" in fp\n", + " or \"ERA5_ext-U10-ANN-global_ref\" in fp\n", + " or \"ERA5_ext-U10-JJA-global_ref\" in fp\n", + " ):\n", + " continue\n", + "\n", + " new_glob.append(fp)\n", + "\n", + " return new_glob\n", + "\n", + "\n", + "DEV_GLOB = _remove_unwanted_files(DEV_GLOB)\n", + "MAIN_GLOB = _remove_unwanted_files(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-4\n", + "\n", + " results = {\n", + " \"missing_files\": [],\n", + " \"missing_vars\": [],\n", + " \"matching_files\": [],\n", + " \"mismatch_errors\": [],\n", + " \"not_equal_errors\": [],\n", + " \"key_errors\": [],\n", + " }\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_DIR, DEV_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " if \"annual_cycle_zonal_mean\" in fp_main:\n", + " if \"test.nc\" in fp_main:\n", + " fp_dev = fp_dev.replace(\"test.nc\", \"ref.nc\")\n", + " elif \"ref.nc\" in fp_main:\n", + " fp_dev = fp_dev.replace(\"ref.nc\", \"test.nc\")\n", + "\n", + " try:\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + " except FileNotFoundError as e:\n", + " print(f\" {e}\")\n", + "\n", + " if isinstance(e, FileNotFoundError) or isinstance(e, OSError):\n", + " results[\"missing_files\"].append(fp_dev)\n", + "\n", + " continue\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + "\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " if dev_data is None or main_data is None:\n", + " if dev_data is None:\n", + " results[\"missing_vars\"].append(fp_dev)\n", + " elif main_data is None:\n", + " results[\"missing_vars\"].append(fp_main)\n", + "\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + "\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " results[\"matching_files\"].append(fp_main)\n", + " except (KeyError, AssertionError) as e:\n", + " msg = str(e)\n", + "\n", + " print(f\" {msg}\")\n", + "\n", + " if \"mismatch\" in msg:\n", + " results[\"mismatch_errors\"].append(fp_dev)\n", + " elif \"Not equal to tolerance\" in msg:\n", + " results[\"not_equal_errors\"].append(fp_dev)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + " return results\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " try:\n", + " data = ds[var_key].values\n", + " except KeyError:\n", + " try:\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " except KeyError:\n", + " var_keys = DERIVED_VARIABLES[var_key.upper()].keys()\n", + "\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_dev_files = []\n", + " missing_main_files = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_DIR, DEV_DIR)\n", + "\n", + " if fp_dev not in DEV_GLOB:\n", + " missing_dev_files.append(fp_dev)\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(DEV_DIR, MAIN_DIR)\n", + "\n", + " if fp_main not in MAIN_GLOB:\n", + " missing_main_files.append(fp_main)\n", + "\n", + " return missing_dev_files, missing_main_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "DEV_GLOB = [fp for fp in DEV_GLOB if \"diff.nc\" not in fp]\n", + "MAIN_GLOB = [fp for fp in MAIN_GLOB if \"diff.nc\" not in fp]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1250, 1248)" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(DEV_GLOB), len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing dev files: 2\n", + "Missing main files: 4\n" + ] + } + ], + "source": [ + "missing_dev_files, missing_main_files = _check_if_missing_files()\n", + "\n", + "print(f\"Missing dev files: {len(missing_dev_files)}\")\n", + "print(f\"Missing main files: {len(missing_main_files)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Check missing main files (not concerned)\n", + "\n", + "Results:\n", + "\n", + "- The missing files are due to a recent .cfg update in [PR #830](https://github.com/E3SM-Project/e3sm_diags/pull/830)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MACv2/MACv2-AODVIS-ANNUALCYCLE-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MACv2/MACv2-AODVIS-ANNUALCYCLE-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2_Aerosols/MERRA2_Aerosols-AODVIS-ANNUALCYCLE-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2_Aerosols/MERRA2_Aerosols-AODVIS-ANNUALCYCLE-global_test.nc']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_main_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Check missing dev files:\n", + "\n", + "Results:\n", + "\n", + "- The missing reference files are due to not saving them out to netCDF since they are the same as the test files (skipped, model-only run)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc']" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_dev_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc\n", + " [Errno 2] No such file or directory: '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc'\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc\n", + " [Errno 2] No such file or directory: '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc'\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_test.nc\n", + " * var_key: ALBEDO\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[0.69877 , 0.695266, 0.68627 , ..., inf, inf, inf],\n", + " [0.712032, 0.706896, 0.69354 , ..., inf, inf, inf],\n", + " [0.765447, 0.743142, 0.738787, ..., 0.752918, 0.751204, 0.833122],...\n", + " y: array([[0.69877 , 0.695266, 0.68627 , ..., nan, nan, nan],\n", + " [0.712033, 0.706896, 0.69354 , ..., nan, nan, nan],\n", + " [0.765447, 0.743142, 0.738787, ..., 0.752918, 0.751204, 0.833123],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_test.nc\n", + " * var_key: SCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 39151 / 64800 (60.4%)\n", + "Max absolute difference: 22.411116\n", + "Max relative difference: 0.6832267\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 8 / 64800 (0.0123%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.01244658\n", + " x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + " y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 32818 / 64800 (50.6%)\n", + "Max absolute difference: 45.429226\n", + "Max relative difference: 0.9708206\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 39226 / 64800 (60.5%)\n", + "Max absolute difference: 37.673122\n", + "Max relative difference: 0.62295455\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00541773\n", + " x: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + " y: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 34116 / 64800 (52.6%)\n", + "Max absolute difference: 67.89603\n", + "Max relative difference: 0.9691263\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 38772 / 64800 (59.8%)\n", + "Max absolute difference: 31.085188\n", + "Max relative difference: 0.96666664\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 32169 / 64800 (49.6%)\n", + "Max absolute difference: 63.126827\n", + "Max relative difference: 1.\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00456364\n", + " x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n", + " 7.77411 ],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n", + " y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n", + " 7.774109],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.09701157\n", + "Max relative difference: 0.00250626\n", + " x: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843707, 7.843707,\n", + " 7.843707],\n", + " [ 4.183939, 4.1839 , 4.183824, ..., 7.598535, 7.598149,...\n", + " y: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843706, 7.843706,\n", + " 7.843706],\n", + " [ 4.183939, 4.1839 , 4.183823, ..., 7.598534, 7.598149,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355,\n", + " -53.867355],\n", + " [-53.28177 , -53.27997 , -53.27826 , ..., -53.284897, -53.28383 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + " y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + " y: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 ,\n", + " -60.34648 ],\n", + " [-59.765793, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 1 / 6120 (0.0163%)\n", + "Max absolute difference: 3.39774408e-07\n", + "Max relative difference: 0.00015039\n", + " x: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + " y: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 1 / 6120 (0.0163%)\n", + "Max absolute difference: 3.39774408e-07\n", + "Max relative difference: 0.00015039\n", + " x: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + " y: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.0069872e-07\n", + "Max relative difference: 1.48305291\n", + " x: array([[-8.003553e-08, 8.746594e-01, 1.610782e+00, ..., 9.277452e-01,\n", + " 4.884759e-01, 6.868504e-08],\n", + " [ 2.653300e-08, 8.899245e-01, 1.641026e+00, ..., 9.164927e-01,...\n", + " y: array([[-8.003553e-08, 8.746594e-01, 1.610782e+00, ..., 9.277452e-01,\n", + " 4.884759e-01, 6.868504e-08],\n", + " [ 3.507194e-08, 8.899245e-01, 1.641026e+00, ..., 9.164927e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 15 / 3610 (0.416%)\n", + "Max absolute difference: 1.27445411e-07\n", + "Max relative difference: 4.23812583\n", + " x: array([[-3.806716e-07, -6.959164e-01, -1.271045e+00, ..., 2.137929e+00,\n", + " 1.128679e+00, -2.220170e-07],\n", + " [-1.990935e-07, -4.508903e-01, -8.158624e-01, ..., 2.182571e+00,...\n", + " y: array([[-3.806716e-07, -6.959164e-01, -1.271045e+00, ..., 2.137929e+00,\n", + " 1.128679e+00, -2.220170e-07],\n", + " [-1.990864e-07, -4.508903e-01, -8.158624e-01, ..., 2.182571e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 14 / 3610 (0.388%)\n", + "Max absolute difference: 2.09578261e-07\n", + "Max relative difference: 0.00898989\n", + " x: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595097e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + " y: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595177e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.09033987e-07\n", + "Max relative difference: 0.60114253\n", + " x: array([[ 3.487318e-07, 1.428209e+00, 2.630427e+00, ..., 1.707806e-01,\n", + " 9.107631e-02, -9.528271e-08],\n", + " [ 6.441070e-09, 1.292262e+00, 2.379988e+00, ..., 1.910028e-01,...\n", + " y: array([[ 3.487318e-07, 1.428209e+00, 2.630427e+00, ..., 1.707806e-01,\n", + " 9.107631e-02, -9.528271e-08],\n", + " [ 4.022796e-09, 1.292262e+00, 2.379988e+00, ..., 1.910028e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.12679693e-07\n", + "Max relative difference: 0.06101062\n", + " x: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.235800e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + " y: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.227703e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc\n", + " * var_key: ALBEDO\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ inf, inf, inf, inf, inf, inf,\n", + " inf, inf, inf, 4.905806, 1.104448, 0.486332,\n", + " 1.070643, 0.9697 , 0.895325, 0.848754, 0.816032, 0.794203,...\n", + " y: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " 2.497374e+06, 4.905807e+00, 1.104448e+00, 4.863323e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 161 / 180 (89.4%)\n", + "Max absolute difference: 5.22607951\n", + "Max relative difference: 0.14372237\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 27.607403, 26.281943, 26.594026, 25.62963 , 24.946797, 25.409239,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 29.236507, 28.109412, 28.533893, 27.251634, 26.469386, 26.97218 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 147 / 180 (81.7%)\n", + "Max absolute difference: 3.96731239\n", + "Max relative difference: 0.13233952\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 161 / 180 (89.4%)\n", + "Max absolute difference: 9.42316729\n", + "Max relative difference: 0.20406107\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 50.525568, 52.10918 , 52.191102, 52.493405, 50.181182, 50.357442,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 53.769157, 55.229167, 55.455046, 55.463217, 53.257188, 53.239823,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 147 / 180 (81.7%)\n", + "Max absolute difference: 12.14821824\n", + "Max relative difference: 0.23597697\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 161 / 180 (89.4%)\n", + "Max absolute difference: 4.19708782\n", + "Max relative difference: 0.42758281\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 22.918165, 25.827236, 25.597075, 26.863775, 25.234384, 24.948203,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 24.53265 , 27.119755, 26.921153, 28.211582, 26.787802, 26.267643,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 147 / 180 (81.7%)\n", + "Max absolute difference: 8.34271828\n", + "Max relative difference: 0.45474497\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n" + ] + } + ], + "source": [ + "results = _get_relative_diffs()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# Statistics\n", + "(\n", + " missing_files,\n", + " missing_vars,\n", + " matching_files,\n", + " mismatch_errors,\n", + " not_equal_errors,\n", + " key_errors,\n", + ") = results.values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Missing Files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc']" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- AOD_550 files were retired (https://github.com/E3SM-Project/e3sm_diags/issues/852)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "missing_files = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### `NaN` Mismatching Errors\n", + "\n", + "I found these `nan` mismatch errors occur due to either:\n", + "\n", + "1. Regional subsetting on \"ccb\" flag in CDAT adding a coordinate points -- removing these coordinates results in matching results\n", + "2. Slightly different masking in the data between xCDAT and CDAT via xESMF/ESMF -- same number of nans just slightly shifted over some coordinates points\n", + "\n", + "- Refer to PR [#794](https://github.com/E3SM-Project/e3sm_diags/pull/794)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "mismatch_errors = [\n", + " f\n", + " for f in mismatch_errors\n", + " # https://github.com/E3SM-Project/e3sm_diags/pull/794\n", + " if \"TAUXY\" not in f and \"ERA5-TREFHT\" not in f and \"MERRA2-TREFHT\" not in f\n", + " # https://github.com/E3SM-Project/e3sm_diags/pull/798#issuecomment-2251287986\n", + " and \"ceres_ebaf_toa_v4.1-ALBEDO\" not in f\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mismatch_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Not Equal Errors\n", + "\n", + "- Note, some files are omitted due to known root causes to the diffs (not a concern)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "not_equal_errors = [\n", + " f\n", + " for f in not_equal_errors\n", + " # https://github.com/E3SM-Project/e3sm_diags/issues/797\n", + " if \"MISRCOSP-CLDLOW_TAU1.3_9.4_MISR\" not in f\n", + " and \"MISRCOSP-CLDLOW_TAU1.3_MISR\" not in f\n", + " and \"MISRCOSP-CLDLOW_TAU9.4_MISR\" not in f\n", + " # only 1 mismatching element with 1e-4 tolerance\n", + " and \"ERA5-OMEGA-JJA\" not in f and \"MERRA2-OMEGA-JJA\" not in f\n", + " # https://github.com/E3SM-Project/e3sm_diags/issues/787\n", + " and \"MERRA2-U\" not in f\n", + " # https://github.com/E3SM-Project/e3sm_diags/issues/852\n", + " and \"AOD_550\" not in f\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc']" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "not_equal_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note, the two files have less than 10 elements that mismatch.\n", + "This does not seem to be of a concern since the rtol is 0.04% and 1.2%.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00456364\n", + " x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n", + " 7.77411 ],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n", + " y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n", + " 7.774109],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...\n", + "\n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 8 / 64800 (0.0123%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.01244658\n", + " x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + " y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "ds1 = xr.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\"\n", + ")\n", + "ds2 = xr.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "ename": "AssertionError", + "evalue": "\nNot equal to tolerance rtol=0.0001, atol=0\n\nMismatched elements: 7 / 64800 (0.0108%)\nMax absolute difference: 0.0970192\nMax relative difference: 0.00456364\n x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n 7.77411 ],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n 7.774109],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[31], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtesting\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_allclose\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mds1\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCLDTOT_TAU1.3_9.4_MISR\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCLDTOT_TAU1.3_9.4_MISR\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43matol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrtol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e-4\u001b[39;49m\n\u001b[1;32m 3\u001b[0m \u001b[43m)\u001b[49m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/contextlib.py:79\u001b[0m, in \u001b[0;36mContextDecorator.__call__..inner\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds):\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_recreate_cm():\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/site-packages/numpy/testing/_private/utils.py:797\u001b[0m, in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf, strict)\u001b[0m\n\u001b[1;32m 793\u001b[0m err_msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(remarks)\n\u001b[1;32m 794\u001b[0m msg \u001b[38;5;241m=\u001b[39m build_err_msg([ox, oy], err_msg,\n\u001b[1;32m 795\u001b[0m verbose\u001b[38;5;241m=\u001b[39mverbose, header\u001b[38;5;241m=\u001b[39mheader,\n\u001b[1;32m 796\u001b[0m names\u001b[38;5;241m=\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m), precision\u001b[38;5;241m=\u001b[39mprecision)\n\u001b[0;32m--> 797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAssertionError\u001b[39;00m(msg)\n\u001b[1;32m 798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 799\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtraceback\u001b[39;00m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nNot equal to tolerance rtol=0.0001, atol=0\n\nMismatched elements: 7 / 64800 (0.0108%)\nMax absolute difference: 0.0970192\nMax relative difference: 0.00456364\n x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n 7.77411 ],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n 7.774109],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,..." + ] + } + ], + "source": [ + "np.testing.assert_allclose(\n", + " ds1[\"CLDTOT_TAU1.3_9.4_MISR\"], ds2[\"CLDTOT_TAU1.3_9.4_MISR\"], atol=0, rtol=1e-4\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1579673.1" + ] + }, + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds1[\"CLDTOT_TAU1.3_9.4_MISR\"].values.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1579672.9" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds2[\"CLDTOT_TAU1.3_9.4_MISR\"].values.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " stat_name value pct\n", + "0 matching_files_count 1213 0.998354\n", + "1 missing_vars_count 0 0.000000\n", + "2 mismatch_errors_count 0 0.000000\n", + "3 not_equal_errors_count 2 0.001646\n", + "4 key_errors_count 0 0.000000\n", + "5 missing_files_count 0 0.000000\n" + ] + } + ], + "source": [ + "# Assuming these variables are defined in your notebook\n", + "matching_files_count = len(matching_files)\n", + "missing_vars_count = len(missing_vars)\n", + "mismatch_errors_count = len(mismatch_errors)\n", + "not_equal_errors_count = len(not_equal_errors)\n", + "key_errors_count = len(key_errors)\n", + "missing_files_count = len(missing_files)\n", + "\n", + "sum_files_compared = (\n", + " matching_files_count\n", + " + missing_vars_count\n", + " + mismatch_errors_count\n", + " + not_equal_errors_count\n", + " + key_errors_count\n", + " + missing_files_count\n", + ")\n", + "\n", + "pct_match = (matching_files_count / sum_files_compared) * 100\n", + "\n", + "# Collect statistics into a dictionary\n", + "statistics = {\n", + " \"stat_name\": [\n", + " \"matching_files_count\",\n", + " \"missing_vars_count\",\n", + " \"mismatch_errors_count\",\n", + " \"not_equal_errors_count\",\n", + " \"key_errors_count\",\n", + " \"missing_files_count\",\n", + " ],\n", + " \"value\": [\n", + " matching_files_count,\n", + " missing_vars_count,\n", + " mismatch_errors_count,\n", + " not_equal_errors_count,\n", + " key_errors_count,\n", + " missing_files_count,\n", + " ],\n", + " \"pct\": [\n", + " matching_files_count / sum_files_compared,\n", + " missing_vars_count / sum_files_compared,\n", + " mismatch_errors_count / sum_files_compared,\n", + " not_equal_errors_count / sum_files_compared,\n", + " key_errors_count / sum_files_compared,\n", + " missing_files_count / sum_files_compared,\n", + " ],\n", + "}\n", + "\n", + "# Convert the dictionary to a pandas DataFrame\n", + "df = pd.DataFrame(statistics)\n", + "\n", + "# Display the DataFrame\n", + "print(df)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_png.ipynb b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_png.ipynb new file mode 100644 index 000000000..ce18996b3 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/model_vs_obs_png.ipynb @@ -0,0 +1,2846 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "\n", + "DEV_DIR = \"843-migration-phase3-model-vs-obs\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{DEV_DIR}/\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_DIR = \"main\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)\n", + "\n", + "\n", + "def _remove_unwanted_files(file_glob: List[str]) -> List[str]:\n", + " \"\"\"Remove files that we don't want to compare.\n", + "\n", + " * area_mean_time_series -- `main` does not generate netCDF\n", + " * enso_diags -- `main` does not generate netCDF\n", + " * qbo -- variable name differs\n", + " * diurnal_cycle -- variable name differs\n", + " * diff -- comparing the difference between regridded files is not helpful\n", + " between branches because of the influence in floating point errors.\n", + " * ERA5_ext-U10-ANN-global_ref and ERA5_ext-U10-JJA-global_ref -- dev\n", + " branch does not generate these files because it is a model-only run.\n", + "\n", + " Parameters\n", + " ----------\n", + " file_glob : List[str]\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " List[str]\n", + " _description_\n", + " \"\"\"\n", + "\n", + " new_glob = []\n", + "\n", + " for fp in file_glob:\n", + " if (\n", + " \"area_mean_time_series\" in fp\n", + " or \"enso_diags\" in fp\n", + " or \"qbo\" in fp\n", + " or \"diurnal_cycle\" in fp\n", + " or \"diff\" in fp\n", + " or \"ERA5_ext-U10-ANN-global_ref\" in fp\n", + " or \"ERA5_ext-U10-JJA-global_ref\" in fp\n", + " ):\n", + " continue\n", + "\n", + " new_glob.append(fp)\n", + "\n", + " return new_glob\n", + "\n", + "\n", + "DEV_GLOB = _remove_unwanted_files(DEV_GLOB)\n", + "MAIN_GLOB = _remove_unwanted_files(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_dev_files = []\n", + " missing_main_files = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_PATH, DEV_PATH)\n", + "\n", + " if fp_dev not in DEV_GLOB:\n", + " missing_dev_files.append(fp_dev)\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(DEV_PATH, MAIN_PATH)\n", + "\n", + " if fp_main not in MAIN_GLOB:\n", + " missing_main_files.append(fp_main)\n", + "\n", + " return missing_dev_files, missing_main_files" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(641, 639)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(DEV_GLOB), len(MAIN_GLOB)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "missing_dev_files, missing_main_files = _check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global.png']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_dev_files" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MACv2/MACv2-AODVIS-ANNUALCYCLE-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2_Aerosols/MERRA2_Aerosols-AODVIS-ANNUALCYCLE-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/viewer/e3sm_logo.png']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_main_files" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (697 vs. 695).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (697 vs. 695)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/aerosol_aeronet/AERONET/AERONET-AODABS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET/AERONET-AODABS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET_diff/AERONET-AODABS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/aerosol_aeronet/AERONET/AERONET-AODVIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET/AERONET-AODVIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET_diff/AERONET-AODVIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/COREv2_Flux_diff/COREv2_Flux-PminusE-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-LHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-PSL-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-SHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-TMQ-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-TREFHT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_OAFLux_diff/GPCP_OAFLux-PminusE-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-LHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-PSL-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-SHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-TMQ-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-TREFHT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS_diff/OMI-MLS-SCO-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS_diff/OMI-MLS-TCO-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/SST_CL_HadISST_diff/HadISST_CL-SST-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux_diff/COREv2_Flux-PminusE-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux_diff/COREv2_Flux-PminusE-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC_diff/CRU-TREFHT-ANN-land_60S90N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC_diff/CRU-TREFHT-JJA-land_60S90N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-NET_FLUX_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-NET_FLUX_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PSL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PSL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TAUXY-ANN-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TAUXY-JJA-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TMQ-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-QREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-QREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-U10-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-U10-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux_diff/GPCP_OAFLux-PminusE-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux_diff/GPCP_OAFLux-PminusE-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3_diff/GPCP_v2.3-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-NET_FLUX_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-NET_FLUX_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PSL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PSL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TAUXY-ANN-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TAUXY-JJA-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TMQ-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMNAV-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMNAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMXAV-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMXAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREF_range-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREF_range-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS_diff/OMI-MLS-TCO-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS_diff/OMI-MLS-TCO-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST/HadISST-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST_diff/HadISST-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST/HadISST-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST_diff/HadISST-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/mp_partition/mixed-phase_partition_diff/mixed-phase_partition.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC_diff/CRU-TREFHT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC_diff/CRU-TREFHT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/cmip6-comparison-data/cmip6_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data/cmip6_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data_diff/cmip6_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/cmip6-comparison-data/cmip6_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data/cmip6_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data_diff/cmip6_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/ANN_metrics_taylor_diag_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/ANN_metrics_taylor_diag_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/JJA_metrics_taylor_diag_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/JJA_metrics_taylor_diag_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux_diff/COREv2_Flux-PminusE-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux_diff/COREv2_Flux-PminusE-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-TREFMXAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-global.png\n" + ] + } + ], + "source": [ + "MAIN_GLOB = [f for f in MAIN_GLOB if \"AOD_550\" not in f]\n", + "\n", + "for main_path in MAIN_GLOB:\n", + " dev_path = main_path.replace(MAIN_PATH, DEV_PATH)\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All the plots are virtually identical. There looks like one red dot that is different, which creates a diff plot.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/examples/run_v2_7_0_all_sets_E3SM_machines.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script.py similarity index 86% rename from examples/run_v2_7_0_all_sets_E3SM_machines.py rename to auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script.py index 97fdb2d8e..6f82084c2 100644 --- a/examples/run_v2_7_0_all_sets_E3SM_machines.py +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script.py @@ -11,9 +11,9 @@ source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh -NERSC: - salloc --nodes=1 --partition=regular --time=01:00:00 -C haswell - source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_cori-haswell.sh +NERSC perlmutter cpu: + salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh """ # flake8: noqa E501 @@ -30,6 +30,7 @@ from e3sm_diags.parameter.core_parameter import CoreParameter from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter from e3sm_diags.parameter.qbo_parameter import QboParameter from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter @@ -37,6 +38,7 @@ ZonalMean2dStratosphereParameter, ) from e3sm_diags.run import runner +import timeit class MachinePaths(TypedDict): @@ -65,10 +67,9 @@ def run_all_sets(): "ANN", "JJA", ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] - - param.results_dir = f"{machine_paths['html_path']}/v2_7_0_all_sets" + param.results_dir = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-perf-benchmark" param.multiprocessing = True - param.num_workers = 5 + param.num_workers = 24 # Set specific parameters for new sets enso_param = EnsoDiagsParameter() @@ -121,8 +122,10 @@ def run_all_sets(): arm_param.ref_name = "armdiags" arm_param.test_data_path = machine_paths["arm_test"] arm_param.test_name = "e3sm_v2" - arm_param.test_start_yr = "1996" - arm_param.test_end_yr = "2010" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" # For model vs obs, the ref start and end year can be any four digit strings. # For now, will use all available years form obs arm_param.ref_start_yr = "0001" @@ -140,8 +143,17 @@ def run_all_sets(): tc_param.ref_end_yr = "2018" ac_param = ACzonalmeanParameter() + zm_param = ZonalMean2dStratosphereParameter() + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + + param.save_netcdf = True runner.sets_to_run = [ "lat_lon", "zonal_mean_xy", @@ -159,6 +171,8 @@ def run_all_sets(): "arm_diags", "tc_analysis", "aerosol_aeronet", + "aerosol_budget", + "mp_partition", ] runner.run_diags( @@ -173,6 +187,7 @@ def run_all_sets(): streamflow_param, arm_param, tc_param, + mp_param, ] ) @@ -192,7 +207,14 @@ def _get_machine_paths() -> MachinePaths: machine_info = MachineInfo() machine = machine_info.machine - if machine not in ["anvil", "chrysalis", "compy", "cori-haswell", "cori-knl"]: + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") # Path to the HTML outputs for the current user. @@ -247,16 +269,21 @@ def _get_test_data_dirs(machine: str) -> Tuple[str, str]: base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" elif machine in ["compy"]: base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" - elif machine in ["cori-haswell", "cori-knl"]: + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" test_data_dirs = ( f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", - f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", ) return test_data_dirs # type: ignore if __name__ == "__main__": + start_time = timeit.default_timer() run_all_sets() + end_time = timeit.default_timer() + elapsed_time = end_time - start_time + print(f"Elapsed time: {elapsed_time} seconds") diff --git a/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script_main.py b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script_main.py new file mode 100644 index 000000000..9b8a107b4 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/843-migration-phase3/run-script-model-vs-obs/run_script_main.py @@ -0,0 +1,295 @@ +""" +Make sure to run the machine-specific commands below before +running this script: + +Compy: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh + +LCRC: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh + Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh + +NERSC perlmutter cpu: + salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh +""" +# flake8: noqa E501 + +import os +from typing import Tuple, TypedDict + +from mache import MachineInfo + +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner +import timeit + + +class MachinePaths(TypedDict): + html_path: str + obs_climo: str + test_climo: str + obs_ts: str + test_ts: str + dc_obs_climo: str + dc_test_climo: str + arm_obs: str + arm_test: str + tc_obs: str + tc_test: str + + +def run_all_sets(): + machine_paths: MachinePaths = _get_machine_paths() + + param = CoreParameter() + + param.reference_data_path = machine_paths["obs_climo"] + param.test_data_path = machine_paths["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + param.results_dir = ( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-main-perf-benchmark" + ) + param.multiprocessing = True + param.num_workers = 24 + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = machine_paths["obs_ts"] + enso_param.test_data_path = machine_paths["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + + qbo_param = QboParameter() + qbo_param.reference_data_path = machine_paths["obs_ts"] + qbo_param.test_data_path = machine_paths["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = machine_paths["obs_ts"] + ts_param.test_data_path = machine_paths["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = machine_paths["dc_obs_climo"] + dc_param.test_data_path = machine_paths["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = machine_paths["obs_ts"] + streamflow_param.test_data_path = machine_paths["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = machine_paths["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = machine_paths["arm_test"] + arm_param.test_name = "e3sm_v2" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = machine_paths["tc_obs"] + tc_param.test_data_path = machine_paths["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, use all available years form obs by default. + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + + ac_param = ACzonalmeanParameter() + + zm_param = ZonalMean2dStratosphereParameter() + + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + + param.save_netcdf = True + runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "zonal_mean_2d_stratosphere", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "annual_cycle_zonal_mean", + "enso_diags", + "qbo", + "area_mean_time_series", + "diurnal_cycle", + "streamflow", + "arm_diags", + "tc_analysis", + "aerosol_aeronet", + "aerosol_budget", + "mp_partition", + ] + + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + mp_param, + ] + ) + + return param.results_dir + + +def _get_machine_paths() -> MachinePaths: + """Returns the paths on the machine that are required to run e3sm_diags. + + Returns + ------- + MachinePaths + A dictionary of paths on the machine, with the key being the path type + and the value being the absolute path string. + """ + # Get the current machine's configuration info. + machine_info = MachineInfo() + machine = machine_info.machine + + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: + raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") + + # Path to the HTML outputs for the current user. + web_portal_base_path = machine_info.config.get("web_portal", "base_path") + html_path = f"{web_portal_base_path}/{machine_info.username}/" + + # Path to the reference data directory. + diags_base_path = machine_info.diagnostics_base + ref_data_dir = f"{diags_base_path}/observations/Atm" + + # Paths to the test data directories. + test_data_dir, test_data_dir2 = _get_test_data_dirs(machine) + + # Construct the paths required by e3sm_diags using the base paths above. + machine_paths: MachinePaths = { + "html_path": html_path, + "obs_climo": f"{ref_data_dir}/climatology", + "test_climo": f"{test_data_dir}/climatology/rgr/", + "obs_ts": f"{ref_data_dir}/time-series/", + "test_ts": f"{test_data_dir}/time-series/rgr/", + "dc_obs_climo": f"{ref_data_dir}/climatology", + "dc_test_climo": f"{test_data_dir}/diurnal_climatology/rgr", + "arm_obs": f"{ref_data_dir}/arm-diags-data/", + "arm_test": f"{test_data_dir2}/arm-diags-data/", + "tc_obs": f"{ref_data_dir}/tc-analysis/", + "tc_test": f"{test_data_dir}/tc-analysis/", + } + + return machine_paths + + +def _get_test_data_dirs(machine: str) -> Tuple[str, str]: + """Get the directories for test data based on the machine. + + The second path is for using the high frequency grid box output at ARM sites + from another simulation when the output is available. + + Parameters + ---------- + machine : str + The name of the machine. + + Returns + ------- + Tuple[str, str] + A tuple of two strings, each representing a test data directory path. + """ + test_data_dirs = None + + # TODO: Update this function to use `mache` after the directories are updated. + if machine in ["chrysalis", "anvil"]: + base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["compy"]: + base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: + base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" + + test_data_dirs = ( + f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", + ) + + return test_data_dirs # type: ignore + + +if __name__ == "__main__": + # Run the function 3 times and measure the execution time + execution_times = [] + for _ in range(3): + execution_time = timeit.timeit(run_all_sets, number=1) + execution_times.append(execution_time) + + # Calculate the average execution time + average_execution_time = sum(execution_times) / len(execution_times) + print(f"Average execution time: {average_execution_time} seconds") diff --git a/auxiliary_tools/cdat_regression_testing/base_run_script.py b/auxiliary_tools/cdat_regression_testing/base_run_script.py index c24693229..0aaa6a70a 100644 --- a/auxiliary_tools/cdat_regression_testing/base_run_script.py +++ b/auxiliary_tools/cdat_regression_testing/base_run_script.py @@ -6,7 +6,7 @@ import os import sys -from typing import List, Tuple, TypedDict +from typing import Literal, List, Tuple, TypedDict from mache import MachineInfo @@ -50,6 +50,7 @@ def run_set( set_dir: str, cfg_path: str | None = None, multiprocessing: bool = True, + run_type: Literal["model_vs_model", "model_vs_obs"] = "model_vs_obs", ): if cfg_path is not None: sys.argv.extend(["--diags", cfg_path]) @@ -69,6 +70,7 @@ def run_set( param.results_dir = os.path.join(BASE_RESULTS_DIR, set_dir) param.multiprocessing = multiprocessing param.num_workers = 5 + param.run_type = run_type # Make sure to save the netCDF files to compare outputs. param.save_netcdf = True @@ -83,6 +85,7 @@ def run_set( # Enso obs data range from year 1979 to 2016 enso_param.ref_start_yr = "2001" enso_param.ref_end_yr = "2010" + enso_param.run_type = run_type qbo_param = QboParameter() qbo_param.reference_data_path = machine_paths["obs_ts"] @@ -94,6 +97,7 @@ def run_set( # Number of years of test and ref should match qbo_param.ref_start_yr = "2001" qbo_param.ref_end_yr = "2010" + qbo_param.run_type = run_type ts_param = AreaMeanTimeSeriesParameter() ts_param.reference_data_path = machine_paths["obs_ts"] @@ -101,6 +105,7 @@ def run_set( ts_param.test_name = "e3sm_v2" ts_param.start_yr = "0051" ts_param.end_yr = "0060" + ts_param.run_type = run_type dc_param = DiurnalCycleParameter() dc_param.reference_data_path = machine_paths["dc_obs_climo"] @@ -108,6 +113,7 @@ def run_set( dc_param.short_test_name = "e3sm_v2" # Plotting diurnal cycle amplitude on different scales. Default is True dc_param.normalize_test_amp = False + dc_param.run_type = run_type streamflow_param = StreamflowParameter() streamflow_param.reference_data_path = machine_paths["obs_ts"] @@ -118,6 +124,7 @@ def run_set( # Streamflow gauge station data range from year 1986 to 1995 streamflow_param.ref_start_yr = "1986" streamflow_param.ref_end_yr = "1995" + streamflow_param.run_type = run_type arm_param = ARMDiagsParameter() arm_param.reference_data_path = machine_paths["arm_obs"] @@ -132,6 +139,7 @@ def run_set( # For now, will use all available years form obs arm_param.ref_start_yr = "0001" arm_param.ref_end_yr = "0001" + arm_param.run_type = run_type tc_param = TCAnalysisParameter() tc_param.reference_data_path = machine_paths["tc_obs"] @@ -143,9 +151,13 @@ def run_set( # For now, use all available years form obs by default. tc_param.ref_start_yr = "1979" tc_param.ref_end_yr = "2018" + tc_param.run_type = run_type ac_param = ACzonalmeanParameter() + ac_param.run_type = run_type + zm_param = ZonalMean2dStratosphereParameter() + zm_param.run_type = run_type mp_param = MPpartitionParameter() # mp_param.reference_data_path = machine_paths["obs_ts"] @@ -153,6 +165,7 @@ def run_set( mp_param.short_test_name = "e3sm_v2" mp_param.test_start_yr = "0051" mp_param.test_end_yr = "0060" + zm_param.run_type = run_type if isinstance(set_name, str): runner.sets_to_run = [set_name] diff --git a/docs/source/dev_guide/_static/viewer_example.png b/docs/source/dev_guide/_static/viewer_example.png new file mode 100755 index 0000000000000000000000000000000000000000..69b3cf037917fd427e328e1c3d896b1b94e4afe7 GIT binary patch literal 180125 zcmd3OWkZ|YvNlj!C{A&=;>F#Iw-k4Gr?^v`;!X)xq`12~EfR{mdw}2&g6o?;d!H@m zIX~ddmpk|Jku_`9%#}ncE6Spy5Tn4s!J&WrAf*Zi_o4v~4j~fx6|5v$-NFVA4&K*B zQd0S&q$H)Xi=(B@XA3wuhD0-CW2TSq7zRyDjEx6JnHf=BJXIqiVpNU0dwWKEdMW#i z`zf>2^z}Cgu{L@GaeUhcdXV$j4uePJpby^DMUB2s_`KEWE}FE0Etf&?o^rO%oG)I` zASGmFs%B=QnuFmM1%JPkrhR{fMyc1_Q2^H`3U3~b3r~h@z7AhIO?8Ax>G39Qv=2cO 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Use whatever you want to create the webpages.** Just make sure that your function that's mapped to the plotset in ``SET_TO_VIEWER``: diff --git a/docs/source/dev_guide/index.rst b/docs/source/dev_guide/index.rst index 94b3f8813..7f0f478c3 100644 --- a/docs/source/dev_guide/index.rst +++ b/docs/source/dev_guide/index.rst @@ -8,5 +8,5 @@ Developer Guide project-standards testing adding-new-diags-sets - using-cdp-output-viewer + using-output-viewer releasing-e3sm-diags diff --git a/docs/source/dev_guide/using-cdp-output-viewer.rst b/docs/source/dev_guide/using-output-viewer.rst similarity index 73% rename from docs/source/dev_guide/using-cdp-output-viewer.rst rename to docs/source/dev_guide/using-output-viewer.rst index 2bc076161..4645f9894 100644 --- a/docs/source/dev_guide/using-cdp-output-viewer.rst +++ b/docs/source/dev_guide/using-output-viewer.rst @@ -1,30 +1,32 @@ -How to use the CDP Output Viewer -================================ +How to use the E3SM Diagnostics Output Viewer +============================================== In this guide, we will cover: -- The basic framework of the `ESGF Output Viewer `__, consisting of indices, pages, groups, rows, and columns. -- The process of using the `CDP Output Viewer `__ (``cdp_viewer``), including explanations and examples related to the relevant functions. +- The basic framework of the E3SM Diagnostics Output Viewer consisting of indices, pages, groups, rows, and columns. +- The process of `using the Output Viewer `__ (``CoreViewer``), including explanations and examples related to the relevant functions. - - CDP Output Viewer is based on the ESGF Output Viewer The Output Viewer Framework --------------------------- -The Output Viewer is a framework that allows for the visualization of -files. These files include output images from diagnostics, -scripts used to run diagnostics, etc. It also provides a way to create -an HTML file to easily view the results. +The Output Viewer is a framework that allows for the visualization of files. +The core API, ``CoreViewer``, wraps the `ESGF Output Viewer `__ +package (``output_viewer``). It simplifies creating a working viewer specifically for +the needs of E3SM Diagnostics. + +These files include output images from diagnostics, scripts used to run diagnostics, etc. +It also provides a way to create an HTML file to easily view the results. Below is an example of a webpage created with the Output Viewer: -.. figure:: _static/cdp_example.png +.. figure:: _static/viewer_example.png :alt: Example of a webpage generated by the Output Viewer. Figure 1: An example of a webpage generated by the Output Viewer. -The Output Viewer framework consists of five base components that are required for a working viewer: `indices, pages, -groups, rows, and columns.` +The Output Viewer framework consists of five base components that are required for a +working viewer: `indices, pages, groups, rows, and columns.` 1. Indices ~~~~~~~~~~ @@ -34,18 +36,18 @@ An index is what you see when you first go on the HTML page created from the Out An index is consists of one or more pages. The index name is what appears on the top left hand corner. -.. figure:: _static/cdp_index_page.png +.. figure:: _static/viewer_index_page.png :alt: Index page of the Output Viewer - Figure 2: The index is the first page one sees. All of the links below ‘Output Sets’ are individual pages. + Figure 2: The index is the first page one sees. All of the links below 'Output Sets' are individual pages. 2. Pages ~~~~~~~~ Pages are where the user can view the output. A page consists of at least one group. -.. figure:: _static/cdp_page.png - :alt: A page with two groups: ‘Results of addition’ and ‘Results of subtraction’ +.. figure:: _static/viewer_page.png + :alt: A page with two groups: 'Results of addition' and 'Results of subtraction' Figure 3: A page with two groups: 'Results of addition' and 'Results of subtraction'. @@ -84,18 +86,17 @@ To create a viewer with the Output Viewer: - A group must have at least one row - A row must have at least one column -Using CDP Output Viewer (``cdp_viewer``) ----------------------------------------- - -``cdp_viewer`` is a wrapper of the Output Viewer to simplify the API for creating a working viewer. +Using the Output Viewer +----------------------- -If `cdp_viewer` is too abstract/limited, you can instead use the Output Viewer to create your own viewer. +If the ``OutputViewer`` class is too abstract/limited, you can instead use the +ESGF Output Viewer package directly (``import output_viewer``) to create your own viewer. Please be aware that there is no official documentation for the Output Viewer, so you will need refer to the `codebase `__ directly. The code below was used to create the figures above. .. note:: - If you plan on running this example code, you’ll need a file titled ``output.png`` in your current directory. + If you plan on running this example code, you'll need a file titled ``output.png`` in your current directory. .. code:: python @@ -125,10 +126,10 @@ The code below was used to create the figures above. Viewer HTML generated at /Users/shaheen2/github/cdp/jupyter/index.html. Would you like to open in a browser? y/[n]: y -Functions of ``cdp_viewer`` +Functions of ``CoreViewer`` ~~~~~~~~~~~~~~~~~~~~~~~~~~~ -The ``cdp_viewer`` five functions: +The ``CoreViewer`` five functions: - ``add_page(name, columns)`` - Add a page to the viewer's index diff --git a/docs/source/index.rst b/docs/source/index.rst index 54297ee35..482107d68 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -51,9 +51,6 @@ that: sensing, reanalysis and in-situ datasets; - interfaces with diagnostics developed from different E3SM focus groups: atmosphere group, coupled simulation group, land group; -- interacts effectively with the PCMDI's metrics package and the ARM - diagnostics package through a unifying framework: `Community - Diagnostics Package (CDP) `_. - is flexible for user-specified diagnostics and configuration for use by other climate models. diff --git a/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py b/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py index 4dc468740..672282547 100755 --- a/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py +++ b/e3sm_diags/driver/annual_cycle_zonal_mean_driver.py @@ -60,7 +60,7 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: parameter._set_name_yrs_attrs(test_ds, ref_ds, "01") ds_test = test_ds.get_climo_dataset(var_key, "ANNUALCYCLE") - ds_ref = ref_ds.get_ref_climo_dataset(var_key, "ANNUALCYCLE", ds_test) + ds_ref = ref_ds.get_climo_dataset(var_key, "ANNUALCYCLE") # Encode the time coordinate to month integer (1 to 12). This is # necessary to avoid cases where "months since ..." units are used diff --git a/e3sm_diags/driver/cosp_histogram_driver.py b/e3sm_diags/driver/cosp_histogram_driver.py index effd4c14f..3de596487 100755 --- a/e3sm_diags/driver/cosp_histogram_driver.py +++ b/e3sm_diags/driver/cosp_histogram_driver.py @@ -53,7 +53,7 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: parameter._set_name_yrs_attrs(test_ds, ref_ds, season) ds_test = test_ds.get_climo_dataset(var_key, season) - ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + ds_ref = ref_ds.get_climo_dataset(var_key, season) for region in regions: logger.info("Selected region: {}".format(region)) diff --git a/e3sm_diags/driver/lat_lon_driver.py b/e3sm_diags/driver/lat_lon_driver.py index 05715e2c8..1d36631bd 100755 --- a/e3sm_diags/driver/lat_lon_driver.py +++ b/e3sm_diags/driver/lat_lon_driver.py @@ -1,12 +1,15 @@ from __future__ import annotations -from typing import TYPE_CHECKING, List +from typing import TYPE_CHECKING, List, Tuple import xarray as xr +from e3sm_diags.driver.utils.climo_xr import ClimoFreq from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.driver.utils.io import _save_data_metrics_and_plots from e3sm_diags.driver.utils.regrid import ( + _apply_land_sea_mask, + _subset_on_region, get_z_axis, has_z_axis, regrid_z_axis_to_plevs, @@ -22,6 +25,12 @@ if TYPE_CHECKING: from e3sm_diags.parameter.core_parameter import CoreParameter +# The default value for metrics if it is not calculated. This value was +# preserved from the legacy CDAT codebase because the viewer expects this +# value for metrics that aren't calculated. +# TODO: Update `lat_lon_viewer.py` to handle missing metrics with None value. +METRICS_DEFAULT_VALUE = 999.999 + def run_diag(parameter: CoreParameter) -> CoreParameter: """Get metrics for the lat_lon diagnostic set. @@ -63,51 +72,219 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: for season in seasons: parameter._set_name_yrs_attrs(test_ds, ref_ds, season) - # The land sea mask dataset that is used for masking if the region - # is either land or sea. This variable is instantiated here to get - # it once per season in case it needs to be reused. + ds_test = test_ds.get_climo_dataset(var_key, season) + ds_ref = _get_ref_climo_dataset(ref_ds, var_key, season) ds_land_sea_mask: xr.Dataset = test_ds._get_land_sea_mask(season) - ds_test = test_ds.get_climo_dataset(var_key, season) - ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) - - # Store the variable's DataArray objects for reuse. - dv_test = ds_test[var_key] - dv_ref = ds_ref[var_key] - - is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) - is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) - - if is_dims_diff: - raise RuntimeError( - "Dimensions of the two variables are different. Aborting." - ) - elif not is_vars_3d: - _run_diags_2d( - parameter, - ds_test, - ds_ref, - ds_land_sea_mask, - season, - regions, - var_key, - ref_name, - ) - elif is_vars_3d: - _run_diags_3d( - parameter, - ds_test, - ds_ref, - ds_land_sea_mask, - season, - regions, - var_key, - ref_name, - ) + if ds_ref is None: + is_vars_3d = has_z_axis(ds_test[var_key]) + + if not is_vars_3d: + _run_diags_2d_model_only( + parameter, + ds_test, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) + else: + _run_diags_3d_model_only( + parameter, + ds_test, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) + else: + is_vars_3d, is_dims_diff = _check_var_dims(ds_test, ds_ref, var_key) + + if is_dims_diff: + raise RuntimeError( + "Dimensions of the two variables are different. Aborting." + ) + elif not is_vars_3d: + _run_diags_2d( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) + elif is_vars_3d: + _run_diags_3d( + parameter, + ds_test, + ds_ref, + ds_land_sea_mask, + season, + regions, + var_key, + ref_name, + ) return parameter +def _run_diags_2d_model_only( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run a model-only diagnostics on a 2D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + for region in regions: + ds_test_region = _process_test_dataset( + parameter, ds_test, ds_land_sea_mask, var_key, region + ) + + metrics_dict = _create_metrics_dict( + var_key, + ds_test_region, + None, + None, + None, + None, + ) + + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev=None) + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_test_region, + None, + None, + metrics_dict, + ) + + +def _run_diags_3d_model_only( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + season: str, + regions: List[str], + var_key: str, + ref_name: str, +): + """Run a model-only diagnostics on a 3D variable. + + This function gets the variable's metrics by region, then saves the + metrics, metric plots, and data (optional, `CoreParameter.save_netcdf`). + + Parameters + ---------- + parameter : CoreParameter + The parameter object. + ds_test : xr.Dataset + The dataset containing the test variable. + ds_land_sea_mask : xr.Dataset + The land sea mask dataset, which is only used for masking if the region + is "land" or "ocean". + season : str + The season. + regions : List[str] + The list of regions. + var_key : str + The key of the variable. + ref_name : str + The reference name. + """ + plev = parameter.plevs + logger.info("Selected pressure level(s): {}".format(plev)) + + ds_test_rg = regrid_z_axis_to_plevs(ds_test, var_key, parameter.plevs) + + for ilev in plev: + z_axis_key = get_z_axis(ds_test_rg[var_key]).name + ds_test_ilev = ds_test_rg.sel({z_axis_key: ilev}) + + for region in regions: + ds_test_region = _process_test_dataset( + parameter, ds_test_ilev, ds_land_sea_mask, var_key, region + ) + metrics_dict = _create_metrics_dict( + var_key, + ds_test_region, + None, + None, + None, + None, + ) + parameter._set_param_output_attrs(var_key, season, region, ref_name, ilev) + _save_data_metrics_and_plots( + parameter, + plot_func, + var_key, + ds_test_region, + None, + None, + metrics_dict, + ) + + +def _check_var_dims( + ds_test: xr.Dataset, ds_ref: xr.Dataset, var_key: str +) -> Tuple[bool, bool]: + """Check if the variables have 3D dimensions and if their dimensions are different. + + Parameters + ---------- + ds_test : xr.Dataset + The test dataset. + ds_ref : xr.Dataset + The reference dataset. + var_key : str + The key of the variable. + + Returns + ------- + Tuple[bool, bool] + A tuple containing two boolean values: + - is_vars_3d: True if both variables have 3D dimensions, False otherwise. + - is_dims_diff: True if the dimensions of the two variables are different, False otherwise. + """ + dv_test = ds_test[var_key] + dv_ref = ds_ref[var_key] + + is_vars_3d = has_z_axis(dv_test) and has_z_axis(dv_ref) + is_dims_diff = has_z_axis(dv_test) != has_z_axis(dv_ref) + + return is_vars_3d, is_dims_diff + + def _run_diags_2d( parameter: CoreParameter, ds_test: xr.Dataset, @@ -130,8 +307,7 @@ def _run_diags_2d( ds_test : xr.Dataset The dataset containing the test variable. ds_ref : xr.Dataset - The dataset containing the ref variable. If this is a model-only run - then it will be the same dataset as ``ds_test``. + The dataset containing the ref variable. ds_land_sea_mask : xr.Dataset The land sea mask dataset, which is only used for masking if the region is "land" or "ocean". @@ -203,8 +379,7 @@ def _run_diags_3d( ds_test : xr.Dataset The dataset containing the test variable. ds_ref : xr.Dataset - The dataset containing the ref variable. If this is a model-only run - then it will be the same dataset as ``ds_test``. + The dataset containing the ref variable. ds_land_sea_mask : xr.Dataset The land sea mask dataset, which is only used for masking if the region is "land" or "ocean". @@ -265,10 +440,99 @@ def _run_diags_3d( ) +def _get_ref_climo_dataset( + dataset: Dataset, var_key: str, season: ClimoFreq +) -> xr.Dataset | None: + """Get the reference climatology dataset for the variable and season. + + If the reference climatatology does not exist or could not be found, it + will be considered a model-only run and return `None`. + + Parameters + ---------- + dataset : Dataset + The dataset object. + var_key : str + The key of the variable. + season : CLIMO_FREQ + The climatology frequency. + + Returns + ------- + xr.Dataset | None + The reference climatology if it exists or None if it does not. + None indicates a model-only run. + + Raises + ------ + RuntimeError + If `self.data_type` is not "ref". + """ + if dataset.data_type == "ref": + try: + ds_ref = dataset.get_climo_dataset(var_key, season) + except (RuntimeError, IOError): + ds_ref = None + + logger.info("Cannot process reference data, analyzing test data only.") + else: + raise RuntimeError( + "`Dataset._get_ref_dataset` only works with " + f"`parameter.data_type == 'ref'`, not {dataset.data_type}." + ) + + return ds_ref + + +def _process_test_dataset( + parameter: CoreParameter, + ds_test: xr.Dataset, + ds_land_sea_mask: xr.Dataset, + var_key: str, + region: str, +) -> xr.Dataset: + """Process the test dataset for the given region. + + Parameters + ---------- + parameter : CoreParameter + The core parameter object. + ds_test : xr.Dataset + The test dataset. + ds_land_sea_mask : xr.Dataset + The dataset for land-sea mask. + var_key : str + The variable key. + region : str + The region to process. + + Returns: + -------- + xr.Dataset + The processed test dataset for the region. + """ + ds_test_region = ds_test.copy() + + if "land" in region or "ocean" in region: + ds_test_region = _apply_land_sea_mask( + ds_test, + ds_land_sea_mask, + var_key, + region, # type: ignore + parameter.regrid_tool, + parameter.regrid_method, + ) + + if "global" not in region: + ds_test_region = _subset_on_region(ds_test_region, var_key, region) + + return ds_test_region + + def _create_metrics_dict( var_key: str, ds_test: xr.Dataset, - ds_test_regrid: xr.Dataset, + ds_test_regrid: xr.Dataset | None, ds_ref: xr.Dataset | None, ds_ref_regrid: xr.Dataset | None, ds_diff: xr.Dataset | None, @@ -285,9 +549,9 @@ def _create_metrics_dict( The variable key. ds_test : xr.Dataset The test dataset. - ds_test_regrid : xr.Dataset - The regridded test Dataset. If there is no reference dataset, then this - object is the same as ``ds_test``. + ds_test_regrid : xr.Dataset | None + The regridded test Dataset. This arg will be None if a model only + run is performed. ds_ref : xr.Dataset | None The optional reference dataset. This arg will be None if a model only run is performed. @@ -307,44 +571,18 @@ def _create_metrics_dict( """ # Extract these variables for reuse. var_test = ds_test[var_key] - var_test_regrid = ds_test_regrid[var_key] # xarray.DataArray.min() and max() returns a `np.ndarray` with a single # int/float element. Using `.item()` returns that single element. - metrics_dict = { + metrics_dict: MetricsDict = { "test": { "min": var_test.min().item(), "max": var_test.max().item(), - "mean": spatial_avg(ds_test, var_key), - }, - "test_regrid": { - "min": var_test_regrid.min().item(), - "max": var_test_regrid.max().item(), - "mean": spatial_avg(ds_test_regrid, var_key), - "std": std(ds_test_regrid, var_key), - }, - "ref": { - "min": None, - "max": None, - "mean": None, - }, - "ref_regrid": { - "min": None, - "max": None, - "mean": None, - "std": None, - }, - "misc": { - "rmse": None, - "corr": None, - }, - "diff": { - "min": None, - "max": None, - "mean": None, + "mean": spatial_avg(ds_test, var_key), # type: ignore }, "unit": ds_test[var_key].attrs["units"], } + metrics_dict = _set_default_metric_values(metrics_dict) if ds_ref is not None: var_ref = ds_ref[var_key] @@ -352,16 +590,23 @@ def _create_metrics_dict( metrics_dict["ref"] = { "min": var_ref.min().item(), "max": var_ref.max().item(), - "mean": spatial_avg(ds_ref, var_key), + "mean": spatial_avg(ds_ref, var_key), # type: ignore } - if ds_ref_regrid is not None: - var_ref_regrid = ds_ref_regrid[var_key] + if ds_test_regrid is not None and ds_ref_regrid is not None: + var_test_regrid = ds_test_regrid[var_key] + metrics_dict["test_regrid"] = { + "min": var_test_regrid.min().item(), + "max": var_test_regrid.max().item(), + "mean": spatial_avg(ds_test_regrid, var_key), # type: ignore + "std": std(ds_test_regrid, var_key), + } + var_ref_regrid = ds_ref_regrid[var_key] metrics_dict["ref_regrid"] = { "min": var_ref_regrid.min().item(), "max": var_ref_regrid.max().item(), - "mean": spatial_avg(ds_ref_regrid, var_key), + "mean": spatial_avg(ds_ref_regrid, var_key), # type: ignore "std": std(ds_ref_regrid, var_key), } @@ -376,7 +621,35 @@ def _create_metrics_dict( metrics_dict["diff"] = { "min": var_diff.min().item(), "max": var_diff.max().item(), - "mean": spatial_avg(ds_diff, var_key), + "mean": spatial_avg(ds_diff, var_key), # type: ignore + } + + return metrics_dict + + +def _set_default_metric_values(metrics_dict: MetricsDict) -> MetricsDict: + """Set the default values for the metrics in case they are not calculated. + + Parameters + ---------- + metrics_dict : MetricsDict + The dictionary containing the metrics. + + Returns + ------- + MetricsDict + The dictionary containing the metrics with default values. + """ + var_keys = ["test_regrid", "ref", "ref_regrid", "diff"] + metric_keys = ["min", "max", "mean", "std"] + for var_key in var_keys: + metrics_dict[var_key] = { + metric_key: METRICS_DEFAULT_VALUE for metric_key in metric_keys } + metrics_dict["misc"] = { + "rmse": METRICS_DEFAULT_VALUE, + "corr": METRICS_DEFAULT_VALUE, + } + return metrics_dict diff --git a/e3sm_diags/driver/meridional_mean_2d_driver.py b/e3sm_diags/driver/meridional_mean_2d_driver.py index e4cbec5b8..d7447db60 100644 --- a/e3sm_diags/driver/meridional_mean_2d_driver.py +++ b/e3sm_diags/driver/meridional_mean_2d_driver.py @@ -64,7 +64,7 @@ def run_diag(parameter: MeridionalMean2dParameter) -> MeridionalMean2dParameter: parameter._set_name_yrs_attrs(test_ds, ref_ds, season) ds_test = test_ds.get_climo_dataset(var_key, season) - ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + ds_ref = ref_ds.get_climo_dataset(var_key, season) dv_test = ds_test[var_key] dv_ref = ds_ref[var_key] diff --git a/e3sm_diags/driver/polar_driver.py b/e3sm_diags/driver/polar_driver.py index c35fc03c4..453280d71 100755 --- a/e3sm_diags/driver/polar_driver.py +++ b/e3sm_diags/driver/polar_driver.py @@ -43,7 +43,7 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: ds_land_sea_mask: xr.Dataset = test_ds._get_land_sea_mask(season) ds_test = test_ds.get_climo_dataset(var_key, season) - ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + ds_ref = ref_ds.get_climo_dataset(var_key, season) # Store the variable's DataArray objects for reuse. dv_test = ds_test[var_key] diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 0850f1fb2..98ce68c43 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -315,59 +315,6 @@ def _get_global_attr_from_climo_dataset( # -------------------------------------------------------------------------- # Climatology related methods # -------------------------------------------------------------------------- - def get_ref_climo_dataset( - self, var_key: str, season: ClimoFreq, ds_test: xr.Dataset - ): - """Get the reference climatology dataset for the variable and season. - - If the reference climatatology does not exist or could not be found, it - will be considered a model-only run. For this case the test dataset - is returned as a default value and subsequent metrics calculations will - only be performed on the original test dataset. - - Parameters - ---------- - var_key : str - The key of the variable. - season : CLIMO_FREQ - The climatology frequency. - ds_test : xr.Dataset - The test dataset, which is returned if the reference climatology - does not exist or could not be found. - - Returns - ------- - xr.Dataset - The reference climatology if it exists or a copy of the test dataset - if it does not exist. - - Raises - ------ - RuntimeError - If `self.data_type` is not "ref". - """ - # TODO: This logic was carried over from legacy implementation. It - # can probably be improved on by setting `ds_ref = None` and not - # performing unnecessary operations on `ds_ref` for model-only runs, - # since it is the same as `ds_test`. In addition, returning ds_test - # makes it difficult for debugging. - if self.data_type == "ref": - try: - ds_ref = self.get_climo_dataset(var_key, season) - self.model_only = False - except (RuntimeError, IOError): - ds_ref = ds_test.copy() - self.model_only = True - - logger.info("Cannot process reference data, analyzing test data only.") - else: - raise RuntimeError( - "`Dataset._get_ref_dataset` only works with " - f"`self.data_type == 'ref'`, not {self.data_type}." - ) - - return ds_ref - def get_climo_dataset(self, var: str, season: ClimoFreq) -> xr.Dataset: """Get the dataset containing the climatology variable. @@ -815,11 +762,16 @@ def _subset_vars_and_load(self, ds: xr.Dataset) -> xr.Dataset: ds = ds.drop_dims(["slat", "slon"]) all_vars_keys = list(ds.data_vars.keys()) + hybrid_var_keys = set(list(sum(HYBRID_SIGMA_KEYS.values(), ()))) + misc_vars = ["area"] keep_vars = [ var for var in all_vars_keys - if "bnd" in var or "bounds" in var or var in hybrid_var_keys + if "bnd" in var + or "bounds" in var + or var in hybrid_var_keys + or var in misc_vars ] ds = ds[[self.var] + keep_vars] diff --git a/e3sm_diags/driver/zonal_mean_2d_driver.py b/e3sm_diags/driver/zonal_mean_2d_driver.py index 90f2a34e7..c9f66f2a6 100755 --- a/e3sm_diags/driver/zonal_mean_2d_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_driver.py @@ -46,7 +46,7 @@ def run_diag( parameter._set_name_yrs_attrs(test_ds, ref_ds, season) ds_test = test_ds.get_climo_dataset(var_key, season) - ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + ds_ref = ref_ds.get_climo_dataset(var_key, season) # Store the variable's DataArray objects for reuse. dv_test = ds_test[var_key] diff --git a/e3sm_diags/driver/zonal_mean_xy_driver.py b/e3sm_diags/driver/zonal_mean_xy_driver.py index df7b93845..7baebf2ec 100755 --- a/e3sm_diags/driver/zonal_mean_xy_driver.py +++ b/e3sm_diags/driver/zonal_mean_xy_driver.py @@ -72,8 +72,7 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: parameter._set_name_yrs_attrs(test_ds, ref_ds, season) ds_test = test_ds.get_climo_dataset(var_key, season) - # TODO consider to refactor the behavior of get_ref_climo_dataset - ds_ref = ref_ds.get_ref_climo_dataset(var_key, season, ds_test) + ds_ref = ref_ds.get_climo_dataset(var_key, season) # Store the variable's DataArray objects for reuse. dv_test = ds_test[var_key] diff --git a/examples/run_v2_9_0_all_sets_E3SM_machines.py b/examples/run_all_sets_E3SM_machines.py similarity index 100% rename from examples/run_v2_9_0_all_sets_E3SM_machines.py rename to examples/run_all_sets_E3SM_machines.py diff --git a/examples/run_v2_3_0_all_sets.py b/examples/run_v2_3_0_all_sets.py deleted file mode 100644 index 4832b2122..000000000 --- a/examples/run_v2_3_0_all_sets.py +++ /dev/null @@ -1,108 +0,0 @@ -import os - -from e3sm_diags.parameter.area_mean_time_series_parameter import ( - AreaMeanTimeSeriesParameter, -) -from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter -from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter -from e3sm_diags.parameter.qbo_parameter import QboParameter -from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter -from e3sm_diags.run import runner - -# Define data paths for obs -input_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags" -obs_climo = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/climatology" -obs_ts = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/time-series" - -# Define data paths for test model -test_prefix = "/global/cfs/cdirs/e3sm/zhang40/postprocessing_for_e3sm_diags" -case = "20180215.DECKv1b_H1.ne30_oEC.edison" -casename = case.split(".")[1] + "." + case.split(".")[2] - -climo_path = os.path.join(test_prefix, "climo/" + case + "/1980-2014/rgr") -ts_path = os.path.join(test_prefix, "monthly_ts/" + case + "/1980-2014/rgr") -dc_climo_path = os.path.join(test_prefix, "diurnal_climo/" + case + "/1980-2014/rgr") - -# Define parameters for core sets: 'lat_lon','zonal_mean_xy', 'zonal_mean_2d', 'polar', 'cosp_histogram', 'meridional_mean_2d' -param = CoreParameter() -param.reference_data_path = obs_climo -param.test_data_path = climo_path -param.test_name = case -param.test_short_name = casename - -# Define results path. -prefix = "/global/cfs/cdirs/e3sm/www/zhang40/tutorials/" -param.results_dir = os.path.join(prefix, "run_v230_allsets") - -param.multiprocessing = True -param.num_workers = 30 -param.seasons = ["ANN", "JJA"] - -# Additional parameters: -# Short version of test model name being printed as plot titles -# param.short_test_name = 'beta0.FC5COSP.ne30' -# Specify run_type. Defualt is 'model_vs_obs' -# param.run_type = 'model_vs_model' -# Specify title of the 3rd panel plot. Defualt is 'Model - Observation' -# param.diff_title = 'Difference' -# Save subplots as pdf files. -# param.output_format_subplot = ['pdf'] -# Save netcdf files being plotted. -# param.save_netcdf = True - - -# Set specific parameters for new sets -qbo_param = QboParameter() -qbo_param.reference_data_path = obs_ts -qbo_param.test_data_path = ts_path -qbo_param.test_name = casename -qbo_param.start_yr = "1980" -qbo_param.end_yr = "2014" - - -dc_param = DiurnalCycleParameter() -dc_param.reference_data_path = obs_climo -dc_param.test_data_path = dc_climo_path -dc_param.test_name = case -dc_param.short_test_name = casename -# Plotting diurnal cycle amplitude on different scales. Default is True -dc_param.normalize_test_amp = False - -enso_param = EnsoDiagsParameter() -enso_param.reference_data_path = obs_ts -enso_param.test_data_path = ts_path -enso_param.test_name = casename -enso_param.start_yr = "1980" -enso_param.end_yr = "2014" - -ts_param = AreaMeanTimeSeriesParameter() -ts_param.reference_data_path = obs_ts -ts_param.test_data_path = ts_path -ts_param.test_name = casename -ts_param.start_yr = "1980" -ts_param.end_yr = "2014" - -streamflow_param = StreamflowParameter() -streamflow_param.reference_data_path = obs_ts -streamflow_param.test_data_path = ts_path -streamflow_param.test_start_yr = "1980" -streamflow_param.test_end_yr = "2014" -# Streamflow gauge station data range from year 1986 to 1995 -streamflow_param.ref_start_yr = "1986" -streamflow_param.ref_end_yr = "1995" -# -runner.sets_to_run = [ - "lat_lon", - "zonal_mean_xy", - "zonal_mean_2d", - "polar", - "cosp_histogram", - "meridional_mean_2d", - "enso_diags", - "qbo", - "area_mean_time_series", - "diurnal_cycle", - "streamflow", -] -runner.run_diags([param, enso_param, qbo_param, ts_param, dc_param, streamflow_param]) diff --git a/examples/run_v2_3_0_all_sets_E3SM_machines.py b/examples/run_v2_3_0_all_sets_E3SM_machines.py deleted file mode 100644 index 6c20d4798..000000000 --- a/examples/run_v2_3_0_all_sets_E3SM_machines.py +++ /dev/null @@ -1,200 +0,0 @@ -import os - -from e3sm_diags.parameter.area_mean_time_series_parameter import ( - AreaMeanTimeSeriesParameter, -) -from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter -from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter -from e3sm_diags.parameter.qbo_parameter import QboParameter -from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter -from e3sm_diags.run import runner - - -def run_compy(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh - ref_data_prefix = "/compyfs/e3sm_diags_data/obs_for_e3sm_diags" - test_data_prefix = "/compyfs/e3sm_diags_data/test_model_data_for_acme_diags" - - test_data_prefix2 = "/compyfs/fors729" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/E3SM_v1/") - - d["dc_obs_climo"] = d["obs_climo"] - d["dc_test_climo"] = os.path.join( - test_data_prefix, "climatology/diurnal_cycle_climatology/" - ) - - d["streamflow_obs_ts"] = d["obs_ts"] - d["streamflow_test_ts"] = os.path.join( - test_data_prefix2, "time-series/streamflow_ts_postprocessed/" - ) - - return run_all_sets(html_prefix, d) - - -def run_lcrc(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh - # Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh - ref_data_prefix = "/lcrc/group/e3sm/public_html/diagnostics/observations/Atm" - test_data_prefix = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data" - - ref_data_prefix2 = ( - "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/unit_test_complete_run/obs" - ) - test_data_prefix2 = ( - "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/unit_test_complete_run/test" - ) - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/E3SM_v1/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix2, "climatology/") - d["dc_test_climo"] = os.path.join( - test_data_prefix2, "climatology/dc_climo_postprocessed/" - ) - - d["streamflow_obs_ts"] = os.path.join(ref_data_prefix2, "time-series/") - d["streamflow_test_ts"] = os.path.join( - test_data_prefix2, "time-series/streamflow_ts_postprocessed/" - ) - - return run_all_sets(html_prefix, d) - - -def run_nersc(html_prefix): - # Run the following first: - # salloc --nodes=1 --partition=regular --time=01:00:00 -C haswell - # source /global/cfs/cdirs/e3sm/software/anaconda_envs/load_latest_e3sm_unified_cori-haswell.sh - ref_data_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags" - test_data_prefix = ( - "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags" - ) - - test_data_prefix2 = "/global/cfs/cdirs/e3sm/zhang40/postprocessing_for_e3sm_diags" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/E3SM_v1/") - - d["dc_obs_climo"] = d["obs_climo"] - d["dc_test_climo"] = os.path.join( - test_data_prefix2, - "diurnal_climo/20180215.DECKv1b_H1.ne30_oEC.edison/1980-2014/rgr/", - ) - - d["streamflow_obs_ts"] = d["obs_ts"] - d["streamflow_test_ts"] = os.path.join( - test_data_prefix2, - "monthly_ts/20180215.DECKv1b_H1.ne30_oEC.edison/1980-2014/rgr/", - ) - - return run_all_sets(html_prefix, d) - - -def run_all_sets(html_prefix, d): - param = CoreParameter() - - param.reference_data_path = d["obs_climo"] - param.test_data_path = d["test_climo"] - param.test_name = "20161118.beta0.FC5COSP.ne30_ne30.edison" - param.seasons = [ - "ANN", - "JJA", - ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] - - param.results_dir = os.path.join(html_prefix, "v2_3_0_all_sets") - param.multiprocessing = True - param.num_workers = 30 - - # Set specific parameters for new sets - enso_param = EnsoDiagsParameter() - enso_param.reference_data_path = d["obs_ts"] - enso_param.test_data_path = d["test_ts"] - enso_param.test_name = "e3sm_v1" - enso_param.start_yr = "1990" - enso_param.end_yr = "1999" - - qbo_param = QboParameter() - qbo_param.reference_data_path = d["obs_ts"] - qbo_param.test_data_path = d["test_ts"] - qbo_param.test_name = "e3sm_v1" - qbo_param.start_yr = "1990" - qbo_param.end_yr = "1999" - - ts_param = AreaMeanTimeSeriesParameter() - ts_param.reference_data_path = d["obs_ts"] - ts_param.test_data_path = d["test_ts"] - ts_param.test_name = "e3sm_v1" - ts_param.start_yr = "1990" - ts_param.end_yr = "1999" - - dc_param = DiurnalCycleParameter() - dc_param.reference_data_path = d["dc_obs_climo"] - dc_param.test_data_path = d["dc_test_climo"] - dc_param.test_name = "20180215.DECKv1b_H1.ne30_oEC.edison" - dc_param.short_test_name = "DECKv1b_H1.ne30_oEC" - # Plotting diurnal cycle amplitude on different scales. Default is True - dc_param.normalize_test_amp = False - - streamflow_param = StreamflowParameter() - streamflow_param.reference_data_path = d["streamflow_obs_ts"] - streamflow_param.test_data_path = d["streamflow_test_ts"] - streamflow_param.test_name = "20180215.DECKv1b_H1.ne30_oEC.edison" - streamflow_param.test_start_yr = "1980" - streamflow_param.test_end_yr = "2014" - # Streamflow gauge station data range from year 1986 to 1995 - streamflow_param.ref_start_yr = "1986" - streamflow_param.ref_end_yr = "1995" - - runner.sets_to_run = [ - "lat_lon", - "zonal_mean_xy", - "zonal_mean_2d", - "polar", - "cosp_histogram", - "meridional_mean_2d", - "enso_diags", - "qbo", - "area_mean_time_series", - "diurnal_cycle", - "streamflow", - ] - runner.run_diags( - [param, enso_param, qbo_param, ts_param, dc_param, streamflow_param] - ) - - return param.results_dir - - -if __name__ == "__main__": - # Choose the `run` function based on what machine you're on. - # Change - - # Results will be at https://compy-dtn.pnl.gov//v2_3_0_all_sets/viewer/ - # run_compy('/compyfs/www//') - - # Results will be at https://web.lcrc.anl.gov/public/e3sm/diagnostic_output//v2_3_0_all_sets/viewer/ - # run_lcrc('/lcrc/group/e3sm/public_html/diagnostic_output//') - - # Results will be at https://portal.nersc.gov/project/e3sm//v2_3_0_all_sets/viewer/ - run_nersc("/global/cfs/cdirs/e3sm/www//") diff --git a/examples/run_v2_4_0_all_sets_E3SM_machines.py b/examples/run_v2_4_0_all_sets_E3SM_machines.py deleted file mode 100644 index 407d5b086..000000000 --- a/examples/run_v2_4_0_all_sets_E3SM_machines.py +++ /dev/null @@ -1,222 +0,0 @@ -import os - -from e3sm_diags.parameter.area_mean_time_series_parameter import ( - AreaMeanTimeSeriesParameter, -) -from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter -from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter -from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter -from e3sm_diags.parameter.qbo_parameter import QboParameter -from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter -from e3sm_diags.run import runner - - -def run_compy(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh - ref_data_prefix = "/compyfs/e3sm_diags_data/obs_for_e3sm_diags" - test_data_prefix = "/compyfs/e3sm_diags_data/test_model_data_for_acme_diags" - - test_data_prefix2 = "/compyfs/fors729" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/E3SM_v1/") - - d["dc_obs_climo"] = d["obs_climo"] - d["dc_test_climo"] = os.path.join( - test_data_prefix, "climatology/diurnal_cycle_climatology/" - ) - - d["streamflow_obs_ts"] = d["obs_ts"] - d["streamflow_test_ts"] = os.path.join( - test_data_prefix2, "time-series/streamflow_ts_postprocessed/" - ) - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "20210122.F2010.armsites/") - - return run_all_sets(html_prefix, d) - - -def run_lcrc(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh - # Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh - ref_data_prefix = "/lcrc/group/e3sm/public_html/diagnostics/observations/Atm" - test_data_prefix = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data" - - ref_data_prefix2 = ( - "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/unit_test_complete_run/obs" - ) - test_data_prefix2 = ( - "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/unit_test_complete_run/test" - ) - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/E3SM_v1/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix2, "climatology/") - d["dc_test_climo"] = os.path.join( - test_data_prefix2, "climatology/dc_climo_postprocessed/" - ) - - d["streamflow_obs_ts"] = os.path.join(ref_data_prefix2, "time-series/") - d["streamflow_test_ts"] = os.path.join( - test_data_prefix2, "time-series/streamflow_ts_postprocessed/" - ) - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix, "20210122.F2010.armsites/") - - return run_all_sets(html_prefix, d) - - -def run_nersc(html_prefix): - # Run the following first: - # salloc --nodes=1 --partition=regular --time=01:00:00 -C haswell - # source /global/cfs/cdirs/e3sm/software/anaconda_envs/load_latest_e3sm_unified_cori-haswell.sh - ref_data_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags" - test_data_prefix = ( - "/global/cfs/cdirs/e3sm/e3sm_diags/test_model_data_for_acme_diags" - ) - - test_data_prefix2 = "/global/cfs/cdirs/e3sm/zhang40/postprocessing_for_e3sm_diags" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/E3SM_v1/") - - d["dc_obs_climo"] = d["obs_climo"] - d["dc_test_climo"] = os.path.join( - test_data_prefix2, - "diurnal_climo/20180215.DECKv1b_H1.ne30_oEC.edison/1980-2014/rgr/", - ) - - d["streamflow_obs_ts"] = d["obs_ts"] - d["streamflow_test_ts"] = os.path.join( - test_data_prefix2, - "monthly_ts/20180215.DECKv1b_H1.ne30_oEC.edison/1980-2014/rgr/", - ) - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix, "20210122.F2010.armsites/") - - return run_all_sets(html_prefix, d) - - -def run_all_sets(html_prefix, d): - param = CoreParameter() - - param.reference_data_path = d["obs_climo"] - param.test_data_path = d["test_climo"] - param.test_name = "20161118.beta0.FC5COSP.ne30_ne30.edison" - param.seasons = [ - "ANN", - "JJA", - ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] - - param.results_dir = os.path.join(html_prefix, "v2_4_0_all_sets") - param.multiprocessing = True - param.num_workers = 30 - - # Set specific parameters for new sets - enso_param = EnsoDiagsParameter() - enso_param.reference_data_path = d["obs_ts"] - enso_param.test_data_path = d["test_ts"] - enso_param.test_name = "e3sm_v1" - enso_param.start_yr = "1990" - enso_param.end_yr = "1999" - - qbo_param = QboParameter() - qbo_param.reference_data_path = d["obs_ts"] - qbo_param.test_data_path = d["test_ts"] - qbo_param.test_name = "e3sm_v1" - qbo_param.start_yr = "1990" - qbo_param.end_yr = "1999" - - ts_param = AreaMeanTimeSeriesParameter() - ts_param.reference_data_path = d["obs_ts"] - ts_param.test_data_path = d["test_ts"] - ts_param.test_name = "e3sm_v1" - ts_param.start_yr = "1990" - ts_param.end_yr = "1999" - - dc_param = DiurnalCycleParameter() - dc_param.reference_data_path = d["dc_obs_climo"] - dc_param.test_data_path = d["dc_test_climo"] - dc_param.test_name = "20180215.DECKv1b_H1.ne30_oEC.edison" - dc_param.short_test_name = "DECKv1b_H1.ne30_oEC" - # Plotting diurnal cycle amplitude on different scales. Default is True - dc_param.normalize_test_amp = False - - streamflow_param = StreamflowParameter() - streamflow_param.reference_data_path = d["streamflow_obs_ts"] - streamflow_param.test_data_path = d["streamflow_test_ts"] - streamflow_param.test_name = "20180215.DECKv1b_H1.ne30_oEC.edison" - streamflow_param.test_start_yr = "1980" - streamflow_param.test_end_yr = "2014" - # Streamflow gauge station data range from year 1986 to 1995 - streamflow_param.ref_start_yr = "1986" - streamflow_param.ref_end_yr = "1995" - - arm_param = ARMDiagsParameter() - arm_param.reference_data_path = d["arm_obs"] - arm_param.ref_name = "armdiags" - arm_param.test_data_path = d["arm_test"] - arm_param.test_name = "20210122.F2010.armsites" - arm_param.run_type = "model_vs_obs" - arm_param.test_start_yr = "0001" - arm_param.test_end_yr = "0001" - arm_param.ref_start_yr = "0001" - arm_param.ref_end_yr = "0001" - - runner.sets_to_run = [ - "lat_lon", - "zonal_mean_xy", - "zonal_mean_2d", - "polar", - "cosp_histogram", - "meridional_mean_2d", - "enso_diags", - "qbo", - "area_mean_time_series", - "diurnal_cycle", - "streamflow", - "arm_diags", - ] - runner.run_diags( - [param, enso_param, qbo_param, ts_param, dc_param, streamflow_param, arm_param] - ) - - return param.results_dir - - -if __name__ == "__main__": - # Choose the `run` function based on what machine you're on. - # Change - - # Results will be at https://compy-dtn.pnl.gov//v2_4_0_all_sets/viewer/ - # run_compy('/compyfs/www//') - - # Results will be at https://web.lcrc.anl.gov/public/e3sm/diagnostic_output//v2_4_0_all_sets/viewer/ - # run_lcrc('/lcrc/group/e3sm/public_html/diagnostic_output//') - - # Results will be at https://portal.nersc.gov/project/e3sm//v2_4_0_all_sets/viewer/ - run_nersc("/global/cfs/cdirs/e3sm/www//") diff --git a/examples/run_v2_5_0_all_sets_E3SM_machines.py b/examples/run_v2_5_0_all_sets_E3SM_machines.py deleted file mode 100644 index a1e085e52..000000000 --- a/examples/run_v2_5_0_all_sets_E3SM_machines.py +++ /dev/null @@ -1,236 +0,0 @@ -import os - -from acme_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter -from acme_diags.parameter.area_mean_time_series_parameter import ( - AreaMeanTimeSeriesParameter, -) -from acme_diags.parameter.arm_diags_parameter import ARMDiagsParameter -from acme_diags.parameter.core_parameter import CoreParameter -from acme_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter -from acme_diags.parameter.enso_diags_parameter import EnsoDiagsParameter -from acme_diags.parameter.qbo_parameter import QboParameter -from acme_diags.parameter.streamflow_parameter import StreamflowParameter -from acme_diags.parameter.tc_analysis_parameter import TCAnalysisParameter -from acme_diags.run import runner - - -def run_compy(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh - - ref_data_prefix = "/compyfs/e3sm_diags_data/obs_for_e3sm_diags" - test_data_prefix = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - # use highrequency grid box output at ARM sites from another simulation when the output is available - test_data_prefix2 = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") - - d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") - d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") - - return run_all_sets(html_prefix, d) - - -def run_lcrc(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh - # Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh - - ref_data_prefix = "/lcrc/group/e3sm/public_html/diagnostics/observations/Atm" - test_data_prefix = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - # use highrequency grid box output at ARM sites from another simulation when the output is available - test_data_prefix2 = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") - - d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") - d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") - - return run_all_sets(html_prefix, d) - - -def run_nersc(html_prefix): - # Run the following first: - # salloc --nodes=1 --partition=regular --time=01:00:00 -C haswell - # source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_cori-haswell.sh - ref_data_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags" - test_data_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - # use highrequency grid box output at ARM sites from another simulation when the output is available - test_data_prefix2 = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") - - d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") - d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") - - return run_all_sets(html_prefix, d) - - -def run_all_sets(html_prefix, d): - param = CoreParameter() - - param.reference_data_path = d["obs_climo"] - param.test_data_path = d["test_climo"] - param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - param.seasons = [ - "ANN", - "JJA", - ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] - - param.results_dir = os.path.join(html_prefix, "v2_5_0_all_sets") - param.multiprocessing = True - param.num_workers = 5 - - # Set specific parameters for new sets - enso_param = EnsoDiagsParameter() - enso_param.reference_data_path = d["obs_ts"] - enso_param.test_data_path = d["test_ts"] - enso_param.test_name = "e3sm_v2" - enso_param.test_start_yr = "0051" - enso_param.test_end_yr = "0060" - # Enso obs data range from year 1979 to 2016 - enso_param.ref_start_yr = "2001" - enso_param.ref_end_yr = "2010" - - qbo_param = QboParameter() - qbo_param.reference_data_path = d["obs_ts"] - qbo_param.test_data_path = d["test_ts"] - qbo_param.test_name = "e3sm_v2" - qbo_param.start_yr = "0051" - qbo_param.end_yr = "0060" - # Qbo obs data range from year 1979 to 2019 - # Number of years of test and ref should match - qbo_param.ref_start_yr = "2001" - qbo_param.ref_end_yr = "2010" - - ts_param = AreaMeanTimeSeriesParameter() - ts_param.reference_data_path = d["obs_ts"] - ts_param.test_data_path = d["test_ts"] - ts_param.test_name = "e3sm_v2" - ts_param.start_yr = "0051" - ts_param.end_yr = "0060" - - dc_param = DiurnalCycleParameter() - dc_param.reference_data_path = d["dc_obs_climo"] - dc_param.test_data_path = d["dc_test_climo"] - dc_param.short_test_name = "e3sm_v2" - # Plotting diurnal cycle amplitude on different scales. Default is True - dc_param.normalize_test_amp = False - - streamflow_param = StreamflowParameter() - streamflow_param.reference_data_path = d["obs_ts"] - streamflow_param.test_data_path = d["test_ts"] - streamflow_param.short_test_name = "e3sm_v2" - streamflow_param.test_start_yr = "0051" - streamflow_param.test_end_yr = "0060" - # Streamflow gauge station data range from year 1986 to 1995 - streamflow_param.ref_start_yr = "1986" - streamflow_param.ref_end_yr = "1995" - - arm_param = ARMDiagsParameter() - arm_param.reference_data_path = d["arm_obs"] - arm_param.ref_name = "armdiags" - arm_param.test_data_path = d["arm_test"] - arm_param.test_name = "e3sm_v2" - arm_param.test_start_yr = "1996" - arm_param.test_end_yr = "2010" - # For model vs obs, the ref start and end year can be any four digit strings for now, will use all available years form obs - arm_param.ref_start_yr = "0001" - arm_param.ref_end_yr = "0001" - - tc_param = TCAnalysisParameter() - tc_param.reference_data_path = d["tc_obs"] - tc_param.test_data_path = d["tc_test"] - tc_param.short_test_name = "e3sm_v2" - tc_param.test_start_yr = "0051" - tc_param.test_end_yr = "0060" - # For model vs obs, the ref start and end year can be any four digit strings for now, use all available years form obs by default - tc_param.ref_start_yr = "1979" - tc_param.ref_end_yr = "2018" - - ac_param = ACzonalmeanParameter() - - runner.sets_to_run = [ - "lat_lon", - "zonal_mean_xy", - "zonal_mean_2d", - "polar", - "cosp_histogram", - "meridional_mean_2d", - "annual_cycle_zonal_mean", - "enso_diags", - "qbo", - "area_mean_time_series", - "diurnal_cycle", - "streamflow", - "arm_diags", - "tc_analysis", - ] - runner.run_diags( - [ - param, - ac_param, - enso_param, - qbo_param, - ts_param, - dc_param, - streamflow_param, - arm_param, - tc_param, - ] - ) - - return param.results_dir - - -if __name__ == "__main__": - # Choose the `run` function based on what machine you're on. - # Change - - # Results will be at https://compy-dtn.pnl.gov//v2_5_0_all_sets/viewer/ - # run_compy('/compyfs/www//') - - # Results will be at https://web.lcrc.anl.gov/public/e3sm/diagnostic_output//v2_5_0_all_sets/viewer/ - # run_lcrc('/lcrc/group/e3sm/public_html/diagnostic_output//') - - # Results will be at https://portal.nersc.gov/project/e3sm//v2_5_0_all_sets/viewer/ - # run_nersc("/global/cfs/cdirs/e3sm/www//") - run_nersc("/global/cfs/cdirs/e3sm/www/chengzhu/v2_5_0") diff --git a/examples/run_v2_6_0_all_sets_E3SM_machines.py b/examples/run_v2_6_0_all_sets_E3SM_machines.py deleted file mode 100644 index b12a09871..000000000 --- a/examples/run_v2_6_0_all_sets_E3SM_machines.py +++ /dev/null @@ -1,240 +0,0 @@ -import os - -from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter -from e3sm_diags.parameter.area_mean_time_series_parameter import ( - AreaMeanTimeSeriesParameter, -) -from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter -from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter -from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter -from e3sm_diags.parameter.qbo_parameter import QboParameter -from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter -from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter -from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ZonalMean2dStratosphereParameter - -from e3sm_diags.run import runner - - -def run_compy(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh - - ref_data_prefix = "/compyfs/e3sm_diags_data/obs_for_e3sm_diags" - test_data_prefix = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - # use highrequency grid box output at ARM sites from another simulation when the output is available - test_data_prefix2 = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") - - d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") - d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") - - return run_all_sets(html_prefix, d) - - -def run_lcrc(html_prefix): - # Run the following first: - # srun --pty --nodes=1 --time=01:00:00 /bin/bash - # source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh - # Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh - - ref_data_prefix = "/lcrc/group/e3sm/public_html/diagnostics/observations/Atm" - test_data_prefix = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - # use highrequency grid box output at ARM sites from another simulation when the output is available - test_data_prefix2 = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") - - d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") - d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") - - return run_all_sets(html_prefix, d) - - -def run_nersc(html_prefix): - # Run the following first: - # salloc --nodes=1 --partition=regular --time=01:00:00 -C haswell - # source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_cori-haswell.sh - ref_data_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags" - test_data_prefix = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - # use highrequency grid box output at ARM sites from another simulation when the output is available - test_data_prefix2 = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" - - d = dict() - - d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") - - d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") - d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") - - d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") - d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") - - d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") - d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") - - d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") - d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") - - return run_all_sets(html_prefix, d) - - -def run_all_sets(html_prefix, d): - param = CoreParameter() - - param.reference_data_path = d["obs_climo"] - param.test_data_path = d["test_climo"] - param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" - param.seasons = [ - "ANN", - "JJA", - ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] - - param.results_dir = os.path.join(html_prefix, "v2_6_0_all_sets") - param.multiprocessing = True - param.num_workers = 5 - - # Set specific parameters for new sets - enso_param = EnsoDiagsParameter() - enso_param.reference_data_path = d["obs_ts"] - enso_param.test_data_path = d["test_ts"] - enso_param.test_name = "e3sm_v2" - enso_param.test_start_yr = "0051" - enso_param.test_end_yr = "0060" - # Enso obs data range from year 1979 to 2016 - enso_param.ref_start_yr = "2001" - enso_param.ref_end_yr = "2010" - - qbo_param = QboParameter() - qbo_param.reference_data_path = d["obs_ts"] - qbo_param.test_data_path = d["test_ts"] - qbo_param.test_name = "e3sm_v2" - qbo_param.start_yr = "0051" - qbo_param.end_yr = "0060" - # Qbo obs data range from year 1979 to 2019 - # Number of years of test and ref should match - qbo_param.ref_start_yr = "2001" - qbo_param.ref_end_yr = "2010" - - ts_param = AreaMeanTimeSeriesParameter() - ts_param.reference_data_path = d["obs_ts"] - ts_param.test_data_path = d["test_ts"] - ts_param.test_name = "e3sm_v2" - ts_param.start_yr = "0051" - ts_param.end_yr = "0060" - - dc_param = DiurnalCycleParameter() - dc_param.reference_data_path = d["dc_obs_climo"] - dc_param.test_data_path = d["dc_test_climo"] - dc_param.short_test_name = "e3sm_v2" - # Plotting diurnal cycle amplitude on different scales. Default is True - dc_param.normalize_test_amp = False - - streamflow_param = StreamflowParameter() - streamflow_param.reference_data_path = d["obs_ts"] - streamflow_param.test_data_path = d["test_ts"] - streamflow_param.short_test_name = "e3sm_v2" - streamflow_param.test_start_yr = "0051" - streamflow_param.test_end_yr = "0060" - # Streamflow gauge station data range from year 1986 to 1995 - streamflow_param.ref_start_yr = "1986" - streamflow_param.ref_end_yr = "1995" - - arm_param = ARMDiagsParameter() - arm_param.reference_data_path = d["arm_obs"] - arm_param.ref_name = "armdiags" - arm_param.test_data_path = d["arm_test"] - arm_param.test_name = "e3sm_v2" - arm_param.test_start_yr = "1996" - arm_param.test_end_yr = "2010" - # For model vs obs, the ref start and end year can be any four digit strings for now, will use all available years form obs - arm_param.ref_start_yr = "0001" - arm_param.ref_end_yr = "0001" - - tc_param = TCAnalysisParameter() - tc_param.reference_data_path = d["tc_obs"] - tc_param.test_data_path = d["tc_test"] - tc_param.short_test_name = "e3sm_v2" - tc_param.test_start_yr = "0051" - tc_param.test_end_yr = "0060" - # For model vs obs, the ref start and end year can be any four digit strings for now, use all available years form obs by default - tc_param.ref_start_yr = "1979" - tc_param.ref_end_yr = "2018" - - ac_param = ACzonalmeanParameter() - zm_param = ZonalMean2dStratosphereParameter() - - runner.sets_to_run = [ - "lat_lon", - "zonal_mean_xy", - "zonal_mean_2d", - "zonal_mean_2d_stratosphere", - "polar", - "cosp_histogram", - "meridional_mean_2d", - "annual_cycle_zonal_mean", - "enso_diags", - "qbo", - "area_mean_time_series", - "diurnal_cycle", - "streamflow", - "arm_diags", - "tc_analysis", - ] - runner.run_diags( - [ - param, - zm_param, - ac_param, - enso_param, - qbo_param, - ts_param, - dc_param, - streamflow_param, - arm_param, - tc_param, - ] - ) - - return param.results_dir - - -if __name__ == "__main__": - # Choose the `run` function based on what machine you're on. - # Change - - # Results will be at https://compy-dtn.pnl.gov//v2_5_0_all_sets/viewer/ - # run_compy("/compyfs/www//") - - # Results will be at https://web.lcrc.anl.gov/public/e3sm/diagnostic_output//v2_5_0_all_sets/viewer/ - run_lcrc("/lcrc/group/e3sm/public_html/diagnostic_output//") - - # Results will be at https://portal.nersc.gov/project/e3sm//v2_5_0_all_sets/viewer/ - # run_nersc("/global/cfs/cdirs/e3sm/www//") diff --git a/tests/e3sm_diags/driver/test_lat_lon_driver.py b/tests/e3sm_diags/driver/test_lat_lon_driver.py new file mode 100644 index 000000000..fca03cfe9 --- /dev/null +++ b/tests/e3sm_diags/driver/test_lat_lon_driver.py @@ -0,0 +1,183 @@ +import cftime +import numpy as np +import pytest +import xarray as xr + +from e3sm_diags.driver.lat_lon_driver import _get_ref_climo_dataset +from e3sm_diags.driver.utils.dataset_xr import Dataset +from tests.e3sm_diags.driver.utils.test_dataset_xr import ( + _create_parameter_object, + spatial_bounds, + spatial_coords, +) + + +class TestGetReferenceClimoDataset: + @pytest.fixture(autouse=True) + def setup(self, tmp_path): + # Create temporary directory to save files. + self.data_path = tmp_path / "input_data" + self.data_path.mkdir() + + # Set up climatology dataset and save to a temp file. + self.ds_climo = xr.Dataset( + coords={ + **spatial_coords, + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ) + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + **spatial_bounds, + "ts": xr.DataArray( + name="ts", + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ), + }, + ) + self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} + + # Set up time series dataset and save to a temp file. + self.ds_ts = xr.Dataset( + coords={ + "lat": [-90, 90], + "lon": [0, 180], + "time": xr.DataArray( + dims="time", + data=np.array( + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype="object", + ), + attrs={ + "axis": "T", + "long_name": "time", + "standard_name": "time", + "bounds": "time_bnds", + }, + ), + }, + data_vars={ + "time_bnds": xr.DataArray( + name="time_bnds", + data=np.array( + [ + [ + cftime.DatetimeGregorian( + 2000, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + [ + cftime.DatetimeGregorian( + 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False + ), + cftime.DatetimeGregorian( + 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False + ), + ], + ], + dtype=object, + ), + dims=["time", "bnds"], + ), + "ts": xr.DataArray( + xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + ) + ), + }, + ) + self.ds_ts.time.encoding = {"units": "days since 2000-01-01"} + + def test_raises_error_if_dataset_data_type_is_not_ref(self): + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "test.nc" + ds = Dataset(parameter, data_type="test") + + with pytest.raises(RuntimeError): + _get_ref_climo_dataset(ds, "ts", "ANN") + + def test_returns_reference_climo_dataset_from_file(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "ref_file.nc" + + self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_file}") + + ds = Dataset(parameter, data_type="ref") + result = _get_ref_climo_dataset(ds, "ts", "ANN") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + xr.testing.assert_identical(result, expected) + + def test_returns_None_if_climo_dataset_not_found(self): + parameter = _create_parameter_object( + "ref", "climo", self.data_path, "2000", "2001" + ) + parameter.ref_file = "ref_file.nc" + ds = Dataset(parameter, data_type="ref") + + result = _get_ref_climo_dataset(ds, "ts", "ANN") + + assert result is None diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 79bf48770..33e3c9860 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -246,180 +246,6 @@ def test_property_is_timeseries_returns_false_and_is_climo_returns_true_for_ref( assert ds.is_climo -class TestGetReferenceClimoDataset: - @pytest.fixture(autouse=True) - def setup(self, tmp_path): - # Create temporary directory to save files. - self.data_path = tmp_path / "input_data" - self.data_path.mkdir() - - # Set up climatology dataset and save to a temp file. - self.ds_climo = xr.Dataset( - coords={ - **spatial_coords, - "time": xr.DataArray( - dims="time", - data=np.array( - [ - cftime.DatetimeGregorian( - 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False - ) - ], - dtype="object", - ), - attrs={ - "axis": "T", - "long_name": "time", - "standard_name": "time", - "bounds": "time_bnds", - }, - ), - }, - data_vars={ - **spatial_bounds, - "ts": xr.DataArray( - name="ts", - data=np.array( - [ - [[1.0, 1.0], [1.0, 1.0]], - ] - ), - dims=["time", "lat", "lon"], - ), - }, - ) - self.ds_climo.time.encoding = {"units": "days since 2000-01-01"} - - # Set up time series dataset and save to a temp file. - self.ds_ts = xr.Dataset( - coords={ - "lat": [-90, 90], - "lon": [0, 180], - "time": xr.DataArray( - dims="time", - data=np.array( - [ - cftime.DatetimeGregorian( - 2000, 1, 1, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False - ), - ], - dtype="object", - ), - attrs={ - "axis": "T", - "long_name": "time", - "standard_name": "time", - "bounds": "time_bnds", - }, - ), - }, - data_vars={ - "time_bnds": xr.DataArray( - name="time_bnds", - data=np.array( - [ - [ - cftime.DatetimeGregorian( - 2000, 1, 1, 0, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False - ), - ], - [ - cftime.DatetimeGregorian( - 2000, 2, 1, 0, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False - ), - ], - [ - cftime.DatetimeGregorian( - 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False - ), - ], - [ - cftime.DatetimeGregorian( - 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False - ), - cftime.DatetimeGregorian( - 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False - ), - ], - ], - dtype=object, - ), - dims=["time", "bnds"], - ), - "ts": xr.DataArray( - xr.DataArray( - data=np.array( - [ - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - [[1.0, 1.0], [1.0, 1.0]], - ] - ), - dims=["time", "lat", "lon"], - ) - ), - }, - ) - self.ds_ts.time.encoding = {"units": "days since 2000-01-01"} - - def test_raises_error_if_dataset_data_type_is_not_ref(self): - parameter = _create_parameter_object( - "test", "climo", self.data_path, "2000", "2001" - ) - parameter.ref_file = "test.nc" - ds = Dataset(parameter, data_type="test") - - with pytest.raises(RuntimeError): - ds.get_ref_climo_dataset("ts", "ANN", self.ds_climo.copy()) - - def test_returns_reference_climo_dataset_from_file(self): - parameter = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2001" - ) - parameter.ref_file = "ref_file.nc" - - self.ds_climo.to_netcdf(f"{self.data_path}/{parameter.ref_file}") - - ds = Dataset(parameter, data_type="ref") - result = ds.get_ref_climo_dataset("ts", "ANN", self.ds_climo.copy()) - expected = self.ds_climo.squeeze(dim="time").drop_vars("time") - - xr.testing.assert_identical(result, expected) - assert not ds.model_only - - def test_returns_test_dataset_as_default_value_if_climo_dataset_not_found(self): - parameter = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2001" - ) - parameter.ref_file = "ref_file.nc" - ds = Dataset(parameter, data_type="ref") - - ds_test = self.ds_climo.copy() - result = ds.get_ref_climo_dataset("ts", "ANN", ds_test) - - assert result.identical(ds_test) - assert ds.model_only - - class TestGetClimoDataset: @pytest.fixture(autouse=True) def setup(self, tmp_path): diff --git a/tests/integration/complete_run.py b/tests/integration/complete_run.py index cd8af9f7e..5d62836c7 100644 --- a/tests/integration/complete_run.py +++ b/tests/integration/complete_run.py @@ -3,6 +3,8 @@ Due to the large amount of data required to run, this test will be run manually on Anvil (rather than as part of the CI tests). +This test should be run with the latest E3SM Diags tutorial code. + Run the following first: - srun --pty --nodes=1 --time=01:00:00 /bin/bash - source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh @@ -10,8 +12,21 @@ """ import os -# This test should be run with the latest E3SM Diags tutorial code. -from examples.run_v2_6_0_all_sets_E3SM_machines import run_lcrc +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner from tests.integration.utils import _compare_images @@ -39,3 +54,154 @@ def test_complete_run(self): ) assert len(mismatched_images) == 0 + + +def run_lcrc(html_prefix): + # Run the following first: + # srun --pty --nodes=1 --time=01:00:00 /bin/bash + # source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh + # Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh + + ref_data_prefix = "/lcrc/group/e3sm/public_html/diagnostics/observations/Atm" + test_data_prefix = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + # use highrequency grid box output at ARM sites from another simulation when the output is available + test_data_prefix2 = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy" + + d = dict() + + d["obs_climo"] = os.path.join(ref_data_prefix, "climatology/") + d["test_climo"] = os.path.join(test_data_prefix, "climatology/rgr/") + + d["obs_ts"] = os.path.join(ref_data_prefix, "time-series/") + d["test_ts"] = os.path.join(test_data_prefix, "time-series/rgr/") + + d["dc_obs_climo"] = os.path.join(ref_data_prefix, "climatology/") + d["dc_test_climo"] = os.path.join(test_data_prefix, "diurnal_climatology/rgr") + + d["arm_obs"] = os.path.join(ref_data_prefix, "arm-diags-data/") + d["arm_test"] = os.path.join(test_data_prefix2, "arm-diags-data/") + + d["tc_obs"] = os.path.join(ref_data_prefix, "tc-analysis/") + d["tc_test"] = os.path.join(test_data_prefix, "tc-analysis/") + + return run_all_sets(html_prefix, d) + + +def run_all_sets(html_prefix, d): + param = CoreParameter() + + param.reference_data_path = d["obs_climo"] + param.test_data_path = d["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + + param.results_dir = os.path.join(html_prefix, "v2_6_0_all_sets") + param.multiprocessing = True + param.num_workers = 5 + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = d["obs_ts"] + enso_param.test_data_path = d["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + + qbo_param = QboParameter() + qbo_param.reference_data_path = d["obs_ts"] + qbo_param.test_data_path = d["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = d["obs_ts"] + ts_param.test_data_path = d["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = d["dc_obs_climo"] + dc_param.test_data_path = d["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = d["obs_ts"] + streamflow_param.test_data_path = d["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = d["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = d["arm_test"] + arm_param.test_name = "e3sm_v2" + arm_param.test_start_yr = "1996" + arm_param.test_end_yr = "2010" + # For model vs obs, the ref start and end year can be any four digit strings for now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = d["tc_obs"] + tc_param.test_data_path = d["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings for now, use all available years form obs by default + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + + ac_param = ACzonalmeanParameter() + zm_param = ZonalMean2dStratosphereParameter() + + runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "zonal_mean_2d_stratosphere", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "annual_cycle_zonal_mean", + "enso_diags", + "qbo", + "area_mean_time_series", + "diurnal_cycle", + "streamflow", + "arm_diags", + "tc_analysis", + ] + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + ] + ) + + return param.results_dir From d758d3db7a426e6ed6c9271227326bfd1f7061e3 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 1 Oct 2024 12:14:57 -0700 Subject: [PATCH 27/41] CDAT Migration Phase 3 - Port QBO Wavelet feature to Xarray/xCDAT codebase (#860) --- .../850-qbo-wavelet/regression_test.ipynb | 1704 +++++++++++++++++ .../850-qbo-wavelet/regression_test_png.ipynb | 226 +++ .../850-qbo-wavelet/run_script.py | 10 + e3sm_diags/driver/qbo_driver.py | 80 +- e3sm_diags/plot/qbo_plot.py | 65 +- 5 files changed, 2078 insertions(+), 7 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/run_script.py diff --git a/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test.ipynb b/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test.ipynb new file mode 100644 index 000000000..03f47e094 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test.ipynb @@ -0,0 +1,1704 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "SET_NAME = \"qbo\"\n", + "SET_DIR = \"850-qbo-wavelet\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = (\n", + " f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/{SET_NAME}/**\"\n", + ")\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main-qbo-wavelet\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_keys = [\"U\"]\n", + " for key in var_keys:\n", + " print(f\" * var_key: {key}\")\n", + "\n", + " dev_data = ds1[key].values\n", + " main_data = ds2[key].values\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/850-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/850-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_level_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_level_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 4).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 4)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's ignore `qbo_diags_level_ref.nc` and `qbo_diags_level_test.nc`.\n", + "\n", + "- Those files are just the Z dimension of the variable found in the `qbo_diags_qbo_ref.nc` and `qbo_diags_qbo_test.nc`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [], + "source": [ + "MAIN_GLOB = [filename for filename in MAIN_GLOB if \"_level\" not in filename]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/850-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 4440 / 4440 (100%)\n", + "Max absolute difference: 64.15747321\n", + "Max relative difference: 1767.25842536\n", + " x: array([[-16.930712, -42.569729, -25.370665, ..., -2.711329, -2.530502,\n", + " -2.283684],\n", + " [ -2.24533 , -41.558418, -27.585657, ..., -2.62069 , -2.403724,...\n", + " y: array([[ -2.285837, -2.53099 , -2.710924, ..., -25.36748 , -42.5402 ,\n", + " -16.94262 ],\n", + " [ -2.126941, -2.409103, -2.624998, ..., -27.588021, -41.54002 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/850-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- Reference file diffs are massive because the CDAT codebase does not correctly sort the data by the Z axis (`plev`). I opened an issue to address this on `main` here: https://github.com/E3SM-Project/e3sm_diags/issues/825\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Validation: Sorting the CDAT produced reference file by the Z axis in ascending fixes the issue. We can move forward with the changes in this PR.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [], + "source": [ + "import xcdat as xc\n", + "import xarray as xr\n", + "\n", + "ds_xc = xc.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\"\n", + ")\n", + "ds_cdat = xc.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "

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array([[-16.94262 , -42.5402 , -25.36748 , ..., -2.710924, -2.53099 ,\n -2.285837],\n [ -2.284392, -41.54002 , -27.588021, ..., -2.624998, -2.409103,...", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[35], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtesting\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_allclose\u001b[49m\u001b[43m(\u001b[49m\u001b[43mds_xc\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mU\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cdat\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mU\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/contextlib.py:79\u001b[0m, in \u001b[0;36mContextDecorator.__call__..inner\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds):\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_recreate_cm():\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/site-packages/numpy/testing/_private/utils.py:797\u001b[0m, in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf, strict)\u001b[0m\n\u001b[1;32m 793\u001b[0m err_msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(remarks)\n\u001b[1;32m 794\u001b[0m msg \u001b[38;5;241m=\u001b[39m build_err_msg([ox, oy], err_msg,\n\u001b[1;32m 795\u001b[0m verbose\u001b[38;5;241m=\u001b[39mverbose, header\u001b[38;5;241m=\u001b[39mheader,\n\u001b[1;32m 796\u001b[0m names\u001b[38;5;241m=\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m), precision\u001b[38;5;241m=\u001b[39mprecision)\n\u001b[0;32m--> 797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAssertionError\u001b[39;00m(msg)\n\u001b[1;32m 798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 799\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtraceback\u001b[39;00m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nNot equal to tolerance rtol=1e-07, atol=0\n\nMismatched elements: 4440 / 4440 (100%)\nMax absolute difference: 0.18704352\nMax relative difference: 7.69507964\n x: array([[-16.930712, -42.569729, -25.370665, ..., -2.711329, -2.530502,\n -2.283684],\n [ -2.24533 , -41.558418, -27.585657, ..., -2.62069 , -2.403724,...\n y: array([[-16.94262 , -42.5402 , -25.36748 , ..., -2.710924, -2.53099 ,\n -2.285837],\n [ -2.284392, -41.54002 , -27.588021, ..., -2.624998, -2.409103,..." + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "np.testing.assert_allclose(ds_xc[\"U\"], ds_cdat[\"U\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Maxes and Mins -- Really close\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "61.54721945135814 61.36017592984254\n", + "-66.54760399615296 -66.52449748057968\n" + ] + } + ], + "source": [ + "print(ds_xc[\"U\"].max().item(), ds_cdat[\"U\"].max().item())\n", + "print(ds_xc[\"U\"].min().item(), ds_cdat[\"U\"].min().item())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Sum and Mean -- Really close\n" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-3.739846878096383 -3.745529874323115\n", + "-16604.92013874794 -16630.15264199463\n" + ] + } + ], + "source": [ + "print(ds_xc[\"U\"].mean().item(), ds_cdat[\"U\"].mean().item())\n", + "print(ds_xc[\"U\"].sum().item(), ds_cdat[\"U\"].sum().item())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test_png.ipynb new file mode 100644 index 000000000..f5f3b96f0 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/regression_test_png.ipynb @@ -0,0 +1,226 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"qbo\"\n", + "SET_DIR = \"850-qbo-wavelet\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = (\n", + " f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/{SET_NAME}/**\"\n", + ")\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-qbo-wavelet\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " if \"diff\" not in fp_dev:\n", + " fp_main = fp_dev.replace(\"main-qbo-wavelet\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 1).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[28], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[25], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 1)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/850-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/850-qbo-wavelet/qbo/QBO-ERA-Interim_diff/qbo_diags.png\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/run_script.py b/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/run_script.py new file mode 100644 index 000000000..37e72a3f0 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/850-qbo-wavelet/run_script.py @@ -0,0 +1,10 @@ +# %% +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "qbo" +SET_DIR = "850-qbo-wavelet" +CFG_PATH: str | None = None +MULTIPROCESSING = False + +# %% +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/e3sm_diags/driver/qbo_driver.py b/e3sm_diags/driver/qbo_driver.py index e8ec32f49..3379f4c46 100644 --- a/e3sm_diags/driver/qbo_driver.py +++ b/e3sm_diags/driver/qbo_driver.py @@ -8,6 +8,7 @@ import scipy.fftpack import xarray as xr import xcdat as xc +from scipy.signal import detrend from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.driver.utils.io import _get_output_dir, _write_to_netcdf @@ -25,6 +26,9 @@ # The region will always be 5S5N REGION = "5S5N" +# Target power spectral vertical level for the wavelet diagnostic. +POW_SPEC_LEV = 20.0 + class MetricsDict(TypedDict): qbo: xr.DataArray @@ -33,6 +37,8 @@ class MetricsDict(TypedDict): period_new: np.ndarray psd_x_new: np.ndarray amplitude_new: np.ndarray + wave_period: np.ndarray + wavelet: np.ndarray name: str @@ -90,6 +96,14 @@ def run_diag(parameter: QboParameter) -> QboParameter: x_ref, ref_dict["period_new"] ) + # Diagnostic 4: calculate the Wavelet + test_dict["wave_period"], test_dict["wavelet"] = _calculate_wavelet( + test_dict["qbo"] + ) + ref_dict["wave_period"], ref_dict["wavelet"] = _calculate_wavelet( + ref_dict["qbo"] + ) + parameter.var_id = var_key parameter.output_file = "qbo_diags" parameter.main_title = ( @@ -138,7 +152,7 @@ def _save_metrics_to_json( metrics_dict[key] = metrics_dict[key].tolist() # type: ignore with open(abs_path, "w") as outfile: - json.dump(metrics_dict, outfile) + json.dump(metrics_dict, outfile, default=str) logger.info("Metrics saved in: {}".format(abs_path)) @@ -341,3 +355,67 @@ def deseason(xraw): # i.e., get the difference between this month's value and it's "usual" value x_deseasoned[month_index] = xraw[month_index] - xclim[month] return x_deseasoned + + +def _calculate_wavelet(var: xr.DataArray) -> Tuple[np.ndarray, np.ndarray]: + """ + Calculate the wavelet spectrum for a given data array at a specified power + spectral level. + + Parameters + ---------- + data : xr.DataArray + The variable data. + + Returns + ------- + Tuple[np.ndarray, np.ndarray] + The wavelet period and wavelet array. + """ + # Find the closest value for power spectral level in the list + test_lev = xc.get_dim_coords(var, axis="Z") + test_lev_list = list(test_lev) + closest_lev = min(test_lev_list, key=lambda x: abs(x - POW_SPEC_LEV)) + closest_index = test_lev_list.index(closest_lev) + + # Grab target vertical level + data_avg = var.values[:, closest_index] + + # Convert to anomalies + data_avg = data_avg - data_avg.mean() + + # Detrend the data + detrended_data = detrend(data_avg) + + wave_period, wavelet = _get_psd_from_wavelet(detrended_data) + + # Get square root values of wavelet spectra + wavelet = np.sqrt(wavelet) + + return wave_period, wavelet + + +def _get_psd_from_wavelet(data: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: + """ + Calculate the power spectral density (PSD) of the data using a complex + Mortlet wavelet spectrum of degree 6. + + Parameters + ---------- + data : np.ndarray + The data to calculate the PSD for. + + Returns + ------- + Tuple(np.ndarray, np.ndarray) + The period and PSD arrays. + """ + deg = 6 + period = np.arange(1, 55 + 1) + freq = 1 / period + + widths = deg / (2 * np.pi * freq) + cwtmatr = scipy.signal.cwt(data, scipy.signal.morlet2, widths=widths, w=deg) + psd = np.mean(np.square(np.abs(cwtmatr)), axis=1) + + return (period, psd) diff --git a/e3sm_diags/plot/qbo_plot.py b/e3sm_diags/plot/qbo_plot.py index 7847c42cb..cc804d467 100644 --- a/e3sm_diags/plot/qbo_plot.py +++ b/e3sm_diags/plot/qbo_plot.py @@ -16,10 +16,11 @@ logger = custom_logger(__name__) PANEL_CFG = [ - (0.075, 0.70, 0.6, 0.225), - (0.075, 0.425, 0.6, 0.225), - (0.725, 0.425, 0.2, 0.5), - (0.075, 0.075, 0.85, 0.275), + (0.075, 0.75, 0.6, 0.175), + (0.075, 0.525, 0.6, 0.175), + (0.725, 0.525, 0.2, 0.4), + (0.075, 0.285, 0.85, 0.175), + (0.075, 0.04, 0.85, 0.175), ] LABEL_SIZE = 14 @@ -51,7 +52,7 @@ class ZAxis(TypedDict): def plot(parameter: QboParameter, test_dict, ref_dict): - fig = plt.figure(figsize=(14, 14)) + fig = plt.figure(figsize=(14, 18)) test_z_axis = xc.get_dim_coords(test_dict["qbo"], axis="Z") ref_z_axis = xc.get_dim_coords(ref_dict["qbo"], axis="Z") @@ -154,7 +155,7 @@ def plot(parameter: QboParameter, test_dict, ref_dict): # Panel 3 (Bottom) x = dict( - axis_range=[0, 50], + axis_range=[5, 50], axis_scale="linear", label="Period (months)", data=test_dict["period_new"], @@ -174,6 +175,28 @@ def plot(parameter: QboParameter, test_dict, ref_dict): title = "QBO Spectral Density (Eq. 18-22 hPa zonal winds)" _add_color_map(3, fig, "line", title, x, y) + # Panel 4 (Bottom/Bottom) + x = dict( + axis_range=[5, 50], + axis_scale="linear", + data=test_dict["wave_period"], + data_label=test_dict["name"], + data2=ref_dict["wave_period"], + data2_label=ref_dict["name"], + label="Period (months)", + ) + y = dict( + axis_range=[-1, 105], + axis_scale="linear", + data=test_dict["wavelet"], + data_label=None, + data2=ref_dict["wavelet"], + data2_label=None, + label="Variance (" + "m\u00b2/s\u00b2" + ")", + ) + title = "QBO Wavelet (Eq. 18-22 hPa zonal winds)" + _add_color_map(4, fig, "line", title, x, y) + plt.tight_layout() # Figure title @@ -225,6 +248,29 @@ def _add_color_map( fontsize=LABEL_SIZE, ) + if subplot_num == 3 or subplot_num == 4: + # Find the index of the wavelet maximum value + test_ymax_idx = list(y["data"]).index(max(y["data"])) + ref_ymax_idx = list(y["data2"]).index(max(y["data2"])) # type: ignore + + # Use the index to get the period value for peak of spectra + test_y_max_xval = list(x["data"])[test_ymax_idx] + ref_y_max_xval = list(x["data2"])[ref_ymax_idx] # type: ignore + + # Plot vertical lines for period peaks + ax.axvline( + x=test_y_max_xval, + ymax=max(y["data"]) / y["axis_range"][1], + color="k", + linestyle="-", + ) + ax.axvline( + x=ref_y_max_xval, + ymax=max(y["data2"]) / y["axis_range"][1], # type: ignore + color="r", + linestyle="--", + ) + ax.set_title(title, size=LABEL_SIZE, weight="demi") ax.set_xlabel(x["label"], size=LABEL_SIZE) ax.set_ylabel(y["label"], size=LABEL_SIZE) @@ -232,6 +278,13 @@ def _add_color_map( plt.yscale(y["axis_scale"]) plt.ylim([y["axis_range"][0], y["axis_range"][1]]) plt.yticks(size=LABEL_SIZE) + + # Set custom x-axis tick labels to include period corresponding to peak of wavelet spectra plt.xscale(x["axis_scale"]) + if subplot_num == 3 or subplot_num == 4: + standard_ticks = list(np.arange(x["axis_range"][0], x["axis_range"][1] + 1, 5)) + custom_ticks = sorted(standard_ticks + [test_y_max_xval, ref_y_max_xval]) + ax.set_xticks(custom_ticks) + plt.xlim([x["axis_range"][0], x["axis_range"][1]]) plt.xticks(size=LABEL_SIZE) From b154585c740bdb498aff4e74753dba4d843dff2c Mon Sep 17 00:00:00 2001 From: Jill Chengzhu Zhang Date: Tue, 1 Oct 2024 12:27:36 -0700 Subject: [PATCH 28/41] CDAT Migration Phase 2: Refactor arm_diags set (#842) --- ...7-arm_diags_cdat_regression_test_png.ipynb | 524 +++++++++++ .../667-arm_diags/667-arm_diags_run_script.py | 12 + .../667-arm_diags/arm_diags_model_vs_obs.cfg | 34 + .../667-arm_diags/debug/667_debug_perf.py | 104 +++ e3sm_diags/derivations/derivations.py | 36 + e3sm_diags/derivations/formulas.py | 22 + e3sm_diags/driver/arm_diags_driver.py | 694 +++++++-------- e3sm_diags/driver/utils/climo_xr.py | 108 ++- e3sm_diags/driver/utils/dataset_xr.py | 86 +- e3sm_diags/driver/utils/diurnal_cycle_xr.py | 26 +- e3sm_diags/parameter/arm_diags_parameter.py | 3 + e3sm_diags/plot/arm_diags_plot.py | 814 ++++++++++++++++++ e3sm_diags/viewer/arm_diags_viewer.py | 16 - .../driver/utils/test_dataset_xr.py | 10 +- 14 files changed, 2046 insertions(+), 443 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_cdat_regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/667-arm_diags/arm_diags_model_vs_obs.cfg create mode 100644 auxiliary_tools/cdat_regression_testing/667-arm_diags/debug/667_debug_perf.py create mode 100644 e3sm_diags/plot/arm_diags_plot.py diff --git a/auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_cdat_regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_cdat_regression_test_png.ipynb new file mode 100644 index 000000000..4391833d4 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_cdat_regression_test_png.ipynb @@ -0,0 +1,524 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"arm_diags\"\n", + "SET_DIR = \"667-arm_diags-plot-refactor\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (71 and 71).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-AODVIS-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-AODVIS-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLDTOT-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-ref.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-ref.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-ref.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-ref.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-ref.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLDS-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLDS-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLDS-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLDS-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLDS-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLDS-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLDS-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLDS-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLDS-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLDS-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLUS-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLUS-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLUS-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLUS-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLUS-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLUS-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLUS-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLUS-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FLUS-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FLUS-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSDS-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSDS-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSDS-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSDS-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSDS-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSDS-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSDS-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSDS-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSDS-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSDS-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSUS-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSUS-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSUS-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSUS-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSUS-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSUS-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSUS-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSUS-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-FSUS-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-FSUS-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-LHFLX-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-LHFLX-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-DJF-sgpc1-diurnal-cycle.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-DJF-sgpc1-diurnal-cycle.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-JJA-sgpc1-diurnal-cycle.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-JJA-sgpc1-diurnal-cycle.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-MAM-sgpc1-diurnal-cycle.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-MAM-sgpc1-diurnal-cycle.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PRECT-SON-sgpc1-diurnal-cycle.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PRECT-SON-sgpc1-diurnal-cycle.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PS-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PS-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PS-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PS-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PS-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PS-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PS-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PS-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-PS-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-PS-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-SHFLX-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-SHFLX-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TMQ-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TMQ-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TMQ-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TMQ-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TMQ-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TMQ-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TMQ-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TMQ-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TREFHT-ANNUALCYCLE-nsac1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TREFHT-ANNUALCYCLE-nsac1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TREFHT-ANNUALCYCLE-sgpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TREFHT-ANNUALCYCLE-sgpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TREFHT-ANNUALCYCLE-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TREFHT-ANNUALCYCLE-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TREFHT-ANNUALCYCLE-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TREFHT-ANNUALCYCLE-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-TREFHT-ANNUALCYCLE-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-TREFHT-ANNUALCYCLE-twpc3.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-enac1-ccn02-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-enac1-ccn02-ref.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-enac1-ccn02-ref.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-enac1-ccn02-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-enac1-ccn02-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-enac1-ccn02-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-enac1-ccn05-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-enac1-ccn05-ref.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-enac1-ccn05-ref.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-enac1-ccn05-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-enac1-ccn05-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-enac1-ccn05-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-sgpc1-ccn02-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-sgpc1-ccn02-ref.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-sgpc1-ccn02-ref.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-sgpc1-ccn02-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-sgpc1-ccn02-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-sgpc1-ccn02-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-sgpc1-ccn05-ref.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-sgpc1-ccn05-ref.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-sgpc1-ccn05-ref.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-aerosol-activation-sgpc1-ccn05-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-aerosol-activation-sgpc1-ccn05-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags_diff/armdiags-aerosol-activation-sgpc1-ccn05-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-convection-onset-twpc1.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-convection-onset-twpc1.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-convection-onset-twpc2.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-convection-onset-twpc2.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-convection-onset-twpc3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-plot-refactor/arm_diags/armdiags-convection-onset-twpc3.png\n", + " * Plots are identical\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "The following plots were deemed okay by Jill. The `CLOUD` variable is regridded using\n", + "surface pressure levels, which introduces masking near the surface at 1000 mb. `main`\n", + "CDAT code does not do this.\n", + "\n", + "```bash\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-nsac1-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-sgpc1-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc1-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc2-test.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/667-arm_diags-final/arm_diags_diff/armdiags-CLOUD-ANNUALCYCLE-twpc3-test.png\n", + "Comparing:\n", + "```\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_run_script.py b/auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_run_script.py new file mode 100644 index 000000000..e9d65a328 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/667-arm_diags/667-arm_diags_run_script.py @@ -0,0 +1,12 @@ +# python -m auxiliary_tools.cdat_regression_testing.667-arm_diags.667-arm_diags_run_script +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "arm_diags" +SET_DIR = "667-arm_diags-final" +CFG_PATH: str | None = None +# CFG_PATH = ( +# "./auxiliary_tools/cdat_regression_testing/667-arm_diags/arm_diags_model_vs_obs.cfg" +# ) +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/cdat_regression_testing/667-arm_diags/arm_diags_model_vs_obs.cfg b/auxiliary_tools/cdat_regression_testing/667-arm_diags/arm_diags_model_vs_obs.cfg new file mode 100644 index 000000000..158638e18 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/667-arm_diags/arm_diags_model_vs_obs.cfg @@ -0,0 +1,34 @@ +[#] +sets = ["arm_diags"] +diags_set = "annual_cycle" +regions = ["sgpc1"] +ref_name = "armdiags" +variables = ["PRECT"] + +[#] +sets = ["arm_diags"] +diags_set = "diurnal_cycle" +regions = ["sgpc1"] +ref_name = "armdiags" +variables = ["PRECT"] + +[#] +sets = ["arm_diags"] +diags_set = "diurnal_cycle_zt" +regions = ["sgpc1"] +ref_name = "armdiags" +variables = ["CLOUD"] + +[#] +sets = ["arm_diags"] +diags_set = "convection_onset" +regions = ["twpc1"] +ref_name = "armdiags" + + +[#] +sets = ["arm_diags"] +diags_set = "aerosol_activation" +regions = ["sgpc1"] +variables = ["ccn02"] +ref_name = "armdiags" diff --git a/auxiliary_tools/cdat_regression_testing/667-arm_diags/debug/667_debug_perf.py b/auxiliary_tools/cdat_regression_testing/667-arm_diags/debug/667_debug_perf.py new file mode 100644 index 000000000..d9dbdbc15 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/667-arm_diags/debug/667_debug_perf.py @@ -0,0 +1,104 @@ +# %% +import timeit + +setup_code = """ +import xarray as xr + +AIR_DENS = 1.225 # standard air density 1.225kg/m3 + +a1 = xr.open_dataarray("qa/667-arms-diags/a1.nc") +a2 = xr.open_dataarray("qa/667-arms-diags/a2.nc") +a3 = xr.open_dataarray("qa/667-arms-diags/a3.nc") +""" + +setup_code2 = """ +import xarray as xr + +AIR_DENS = 1.225 # standard air density 1.225kg/m3 + +a1 = xr.open_dataarray("qa/667-arms-diags/a1.nc") +a2 = xr.open_dataarray("qa/667-arms-diags/a2.nc") +a3 = xr.open_dataarray("qa/667-arms-diags/a3.nc") + +a1.load(scheduler="sync") +a2.load(scheduler="sync") +a3.load(scheduler="sync") +""" + +setup_code3 = """ +import xarray as xr + +AIR_DENS = 1.225 # standard air density 1.225kg/m3 + +a1_chunked = xr.open_dataarray("qa/667-arms-diags/a1.nc", chunks={"time": "auto"}) +a2_chunked = xr.open_dataarray("qa/667-arms-diags/a2.nc", chunks={"time": "auto"}) +a3_chunked = xr.open_dataarray("qa/667-arms-diags/a3.nc", chunks={"time": "auto"}) +""" + +code_statement1 = """ +with xr.set_options(keep_attrs=True): + var = (a1 + a2 + a3) * AIR_DENS / 1e6 +""" + + +code_statement2 = """ +with xr.set_options(keep_attrs=True): + var = (a1_chunked + a2_chunked + a3_chunked) * AIR_DENS / 1e6 +""" + +code_statement3 = """ +var_data = (a1.values + a2.values + a3.values) * AIR_DENS / 1e6 +var_new = xr.DataArray( + var_data, + dims=a1.dims, + coords=a1.coords, + name="a_num", + attrs={"units": "/cm3", "long_name": "aerosol number concentration"}, +) +""" + +code_statement4 = """ +var_data2 = (a1.data + a2.data + a3.data) * AIR_DENS / 1e6 +var_new2 = xr.DataArray( + name="a_num", data=var_data2, dims=a1.dims, coords=a1.coords, attrs=a1.attrs +) +var_new2.attrs.update( + {"units": "/cm3", "long_name": "aerosol number concentration"} +) +""" + + +def run_timeit(code_statement: str, setup_code: str) -> float: + elapsed_time = timeit.repeat( + code_statement, setup=setup_code, globals=globals(), repeat=3, number=1 + ) + + return min(elapsed_time) + + +elapsed_time_xarray = run_timeit(code_statement1, setup_code) +print(f"1. Elapsed time (Xarray non-chunked): {elapsed_time_xarray} seconds") + +elapsed_time_xarray_load = run_timeit(code_statement1, setup_code2) +print( + f"2. Elapsed time (Xarray non-chunked with .load()): {elapsed_time_xarray_load} seconds" +) +elapsed_time_xarray_chunked = run_timeit(code_statement2, setup_code3) +print(f"3. Elapsed time (Xarray chunked): {elapsed_time_xarray_chunked} seconds") + +elapsed_time_numpy_1 = run_timeit(code_statement3, setup_code) +print(f"4. Elapsed time (numpy .values): {elapsed_time_numpy_1} seconds") + +elapsed_time_numpy_2 = run_timeit(code_statement4, setup_code) +print(f"5. Elapsed time (numpy .data): {elapsed_time_numpy_2} seconds") + + +""" +Results +---------- +1. Elapsed time (Xarray non-chunked): 6.540755605790764 seconds +2. Elapsed time (Xarray non-chunked with .load()): 0.17097265785560012 seconds +3. Elapsed time (Xarray chunked): 0.1452920027077198 seconds +4. Elapsed time (numpy .values): 6.418793010059744 seconds +5. Elapsed time (numpy .data): 7.334999438840896 seconds +""" diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index ebab62af1..32b427d56 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -16,6 +16,7 @@ from typing import Callable, Dict, Tuple, Union from e3sm_diags.derivations.formulas import ( + a_num_sum, aero_burden_fxn, aero_mass_fxn, albedo, @@ -63,6 +64,7 @@ restom3, rst, rstcs, + so4_mass_sum, sum_vars, swcf, swcfsrf, @@ -857,6 +859,40 @@ ("pom_a?_CLXF",): lambda x: molec_convert_units(x, 12.0), }, "Mass_pom": {("Mass_pom",): rename}, + # total aerosol number concentration (#/CC) + "a_num": { + ("cpc",): rename, + # Aerosol concentration from Aitken, Accumu., and Coarse mode + ( + "num_a1", + "num_a2", + "num_a3", + ): lambda a1, a2, a3: a_num_sum(a1, a2, a3), + }, + # total so4 mass concentration (ng/m3) + "so4_mass": { + ("sulfate",): rename, + # Aerosol concentration from Aitken, Accumu., and Coarse mode + ( + "so4_a1", + "so4_a2", + ): lambda a1, a2: so4_mass_sum(a1, a2), + }, + # CCN 0.1%SS concentration (1/CC) + "ccn01": { + ("ccn01",): rename, + ("CCN3",): rename, + }, + # CCN 0.2%SS concentration (1/CC) + "ccn02": { + ("ccn02",): rename, + ("CCN4",): rename, + }, + # CCN 0.5%SS concentration (1/CC) + "ccn05": { + ("ccn05",): rename, + ("CCN5",): rename, + }, # Land variables "SOILWATER_10CM": {("mrsos",): rename}, "SOILWATER_SUM": {("mrso",): rename}, diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index a3b7ca0f0..57d6e1305 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -13,6 +13,7 @@ from e3sm_diags.derivations.utils import convert_units AVOGADRO_CONST = 6.022e23 +AIR_DENS = 1.225 # standard air density 1.225kg/m3 def sum_vars(vars: List[xr.DataArray]) -> xr.DataArray: @@ -126,6 +127,27 @@ def molec_convert_units(vars: List[xr.DataArray], molar_weight: float) -> xr.Dat return result +def a_num_sum(a1: xr.DataArray, a2: xr.DataArray, a3: xr.DataArray): + # Calculate: total aerosol number concentration (#/cm3) + + with xr.set_options(keep_attrs=True): + var = (a1 + a2 + a3) * AIR_DENS / 1e6 + var.name = "a_num" + var["units"] = "/cm3" + var["long_name"] = "aerosol number concentration" + return var + + +def so4_mass_sum(a1: xr.DataArray, a2: xr.DataArray): + # Calculate: SO4 mass conc. (ng/m3) (< 1um) + with xr.set_options(keep_attrs=True): + var = (a1 + a2) * AIR_DENS * 1e9 + var.name = "so4_mass" + var.units = "\u03bcg/m3" + var.long_name = "SO4 mass conc." + return var + + def qflx_convert_to_lhflx( qflx: xr.DataArray, precc: xr.DataArray, diff --git a/e3sm_diags/driver/arm_diags_driver.py b/e3sm_diags/driver/arm_diags_driver.py index a56cf5010..aa185bbe5 100644 --- a/e3sm_diags/driver/arm_diags_driver.py +++ b/e3sm_diags/driver/arm_diags_driver.py @@ -3,16 +3,20 @@ import collections import json import os -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Callable, Dict, List, Tuple -import cdms2 import numpy as np - -import e3sm_diags -import e3sm_diags.derivations.acme -from e3sm_diags.driver import utils +import xarray as xr +import xcdat as xc + +from e3sm_diags.derivations.derivations import DERIVED_VARIABLES +from e3sm_diags.driver.utils.climo_xr import ClimoFreq +from e3sm_diags.driver.utils.dataset_xr import Dataset +from e3sm_diags.driver.utils.diurnal_cycle_xr import composite_diurnal_cycle +from e3sm_diags.driver.utils.io import _get_output_dir +from e3sm_diags.driver.utils.regrid import has_z_axis, regrid_z_axis_to_plevs from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy import arm_diags_plot +from e3sm_diags.plot import arm_diags_plot if TYPE_CHECKING: from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter @@ -23,179 +27,164 @@ "RefsTestMetrics", ["refs", "test", "metrics", "misc"] ) - -def get_vars_funcs_for_derived_var(data_file, var): - vars_to_func_dict = e3sm_diags.derivations.acme.derived_variables[var] - vars_in_file = set(data_file.variables) - # ex: [('pr',), ('PRECC', 'PRECL')] - possible_vars = list(vars_to_func_dict.keys()) # type: ignore - - for list_of_vars in possible_vars: - if vars_in_file.issuperset(list_of_vars): - # All of the variables (list_of_vars) are in data_file. - # Return the corresponding dict. - return {list_of_vars: vars_to_func_dict[list_of_vars]} # type: ignore +# A dictionary that maps diags_set to the appropriate seasons for grouping. +SEASONS_BY_DIAG: Dict[str, List[ClimoFreq]] = { + "diurnal_cycle": ["DJF", "MAM", "JJA", "SON"], + "annual_cycle": ["ANNUALCYCLE"], + "diurnal_cycle_zt": ["ANNUALCYCLE"], +} -def rmse(predictions, targets): - return np.sqrt(((predictions - targets) ** 2).mean()) - - -def create_metrics(test, ref): - """ - For this plotset, calculate the mean of the - reference data and return a dict of that. +def run_diag(parameter: ARMDiagsParameter) -> ARMDiagsParameter: + """Run the specified diagnostic set based on the given ARMDiagsParameter. + + Parameters + ---------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the configuration for the diagnostic run. + + Returns + ------- + ARMDiagsParameter + The updated ARMDiagsParameter object after running the diagnostic set. + + Raises + ------ + RuntimeError + If the specified diags_set is invalid. """ - return { - "test_mean": float(test.mean()), - "ref_mean": float(ref.mean()), - "test_std": float(test.std(ddof=1)), - "ref_std": float(ref.std(ddof=1)), - "rmse": float(rmse(test, ref)), - "corr": float(np.corrcoef(test, ref)[0, 1]), - } + if parameter.diags_set == "annual_cycle": + return _run_diag_annual_cycle(parameter) + elif parameter.diags_set == "diurnal_cycle": + return _run_diag_diurnal_cycle(parameter) + elif parameter.diags_set == "diurnal_cycle_zt": + return _run_diag_diurnal_cycle_zt(parameter) + elif parameter.diags_set == "pdf_daily": + logger.info("'run_diag_pdf_daily' is not yet implemented.") + elif parameter.diags_set == "convection_onset": + return _run_diag_convection_onset(parameter) + elif parameter.diags_set == "aerosol_activation": + return _run_diag_aerosol_activation(parameter) + + raise RuntimeError(f"Invalid diags_set={parameter.diags_set}") -def run_diag_diurnal_cycle(parameter: ARMDiagsParameter) -> ARMDiagsParameter: +def _run_diag_diurnal_cycle(parameter: ARMDiagsParameter) -> ARMDiagsParameter: variables = parameter.variables regions = parameter.regions ref_name = parameter.ref_name ref_path = parameter.reference_data_path - seasons = ["DJF", "MAM", "JJA", "SON"] + seasons = SEASONS_BY_DIAG["diurnal_cycle"] + test_ds = Dataset(parameter, data_type="test") for region in regions: - logger.info("Selected region: {}".format(region)) + logger.info(f"Selected region: {region}") vars_to_data = collections.OrderedDict() for season in seasons: - logger.info("Season: {}".format(season)) + logger.info(f"Season: {season}") + for var in variables: - logger.info("Variable: {}".format(var)) - test_data = utils.dataset.Dataset(parameter, test=True) - test = test_data.get_timeseries_variable(var, single_point=True) - test.lat = test_data.get_static_variable("lat", var) - test.lon = test_data.get_static_variable("lon", var) - test_diurnal, lst = utils.diurnal_cycle.composite_diurnal_cycle( - test, season, fft=False - ) + logger.info(f"Variable: {var}") - parameter.viewer_descr[var] = getattr(test, "long_name", var) - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data + ds_test = test_ds.get_time_series_dataset(var, single_point=True) + test_diurnal, lst = composite_diurnal_cycle( # type: ignore + ds_test, var, season, fft=False ) - parameter.var_name = getattr(test, "long_name", var) - parameter.var_units = getattr(test, "units", var) refs = [] if "armdiags" in ref_name: if region != "sgpc1": - msg = "Diurnal cycle of {} at Site: {} is not supported yet".format( - region, var + raise RuntimeError( + f"Diurnal cycle of {region} at Site: {var} is not " + "supported yet" ) - raise RuntimeError(msg) else: ref_file_name = "sgparmdiagsmondiurnalC1.c1.nc" - ref_file = os.path.join(ref_path, ref_file_name) - ref_data = cdms2.open(ref_file) + ds_ref = xr.open_dataset(ref_file) if var == "PRECT": - ref = ( - ref_data("pr") * 3600.0 * 24 - ) # Converting mm/second to mm/day" - ref.lat = test.lat - ref.lon = test.lon - ( - ref_diurnal, - lst, - ) = utils.diurnal_cycle.composite_diurnal_cycle( - ref, season, fft=False + # Converting mm/second to mm/day" + ds_ref[var] = ds_ref["pr"] * 3600.0 * 24 + ds_ref["lat"] = ds_test.lat.values + ds_ref["lon"] = ds_test.lon.values + + ref_diurnal, lst = composite_diurnal_cycle( # type: ignore + ds_ref, var, season, fft=False ) - if hasattr(ref, "standard_name"): - ref.long_name = ref.standard_name ref = ref_diurnal else: - ref_data = utils.dataset.Dataset(parameter, ref=True) - ref = ref_data.get_timeseries_variable(var, single_point=True) - ref.lat = test_data.get_static_variable("lat", var) - ref.lon = test_data.get_static_variable("lon", var) - ref_diurnal, lst = utils.diurnal_cycle.composite_diurnal_cycle( - ref, season, fft=False + ref_data = Dataset(parameter, data_type="ref") + ds_ref = ref_data.get_time_series_dataset(var, single_point=True) + + ref_diurnal, lst = composite_diurnal_cycle( # type: ignore + ds_ref, var, season, fft=False ) ref = ref_diurnal refs.append(ref) + # Create the metrics dictionary. metrics_dict = {} + metrics_dict["unit"] = ds_test[var].units + + # Update the result metrics dictionary and store it in the vars_ + # to_data dictionary. result = RefsTestMetrics( test=test_diurnal, refs=refs, metrics=None, misc=lst ) vars_to_data[season] = result - # Saving the metrics as a json. - metrics_dict["unit"] = test.units + parameter.output_file = "-".join([ref_name, var, season, region]) - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - with open(fnm, "w") as outfile: - json.dump(metrics_dict, outfile) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - logger.info("Metrics saved in: " + fnm) + _save_metrics_to_json(parameter, metrics_dict) - arm_diags_plot.plot_diurnal_cycle(var, vars_to_data[season], parameter) + # Set the plot and viewer output attributes. + parameter.viewer_descr[var] = ds_test[var].attrs.get("long_name", var) + parameter.test_name_yrs = test_ds.get_name_yrs_attr() + parameter.var_name = ds_test[var].attrs.get("long_name", var) + parameter.var_units = ds_test[var].attrs.get("units", var) + + arm_diags_plot._plot_diurnal_cycle(parameter, vars_to_data[season]) return parameter -def run_diag_diurnal_cycle_zt(parameter: ARMDiagsParameter) -> ARMDiagsParameter: +def _run_diag_diurnal_cycle_zt(parameter: ARMDiagsParameter) -> ARMDiagsParameter: variables = parameter.variables regions = parameter.regions ref_name = parameter.ref_name ref_path = parameter.reference_data_path - seasons = ["ANNUALCYCLE"] - plevs = np.linspace(100, 1000, 37) + seasons = SEASONS_BY_DIAG["diurnal_cycle_zt"] + plevs = list(np.linspace(100, 1000, 37)) for region in regions: - logger.info("Selected region: {}".format(region)) + logger.info(f"Selected region: {region}") vars_to_data = collections.OrderedDict() for season in seasons: - logger.info("Season: {}".format(season)) + logger.info(f"Season: {season}") for var in variables: - logger.info("Variable: {}".format(var)) - test_data = utils.dataset.Dataset(parameter, test=True) - test = test_data.get_timeseries_variable(var, single_point=True) - test.lat = test_data.get_static_variable("lat", var) - test.lon = test_data.get_static_variable("lon", var) - if test.getLevel(): - test_p = utils.general.convert_to_pressure_levels( - test, plevs, test_data, var, season - ) - test_diurnal, lst = utils.diurnal_cycle.composite_diurnal_cycle( - test_p, season, fft=False - ) + logger.info(f"Variable: {var}") - parameter.viewer_descr[var] = getattr(test, "long_name", var) - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data - ) - parameter.var_name = getattr(test, "long_name", var) - parameter.var_units = getattr(test, "units", var) + test_ds = Dataset(parameter, data_type="test") + ds_test = test_ds.get_time_series_dataset(var, single_point=True) - refs = [] + if has_z_axis(ds_test[var]): + ds_test_plevs = regrid_z_axis_to_plevs(ds_test, var, plevs) + ds_test_plevs["lat"] = ds_test.lat + ds_test_plevs["lon"] = ds_test.lon + test_diurnal, lst = composite_diurnal_cycle( # type: ignore + ds_test_plevs, var, season, fft=False + ) + + refs = [] if "armdiags" in ref_name: ref_file_name = ( region[:3] @@ -205,184 +194,155 @@ def run_diag_diurnal_cycle_zt(parameter: ARMDiagsParameter) -> ARMDiagsParameter ) ref_file = os.path.join(ref_path, ref_file_name) - ref_data = cdms2.open(ref_file) + ds_ref = xr.open_dataset(ref_file) + if var == "CLOUD": - ref_var = ref_data("cl_p") - ref_var.long_name = "Cloud Fraction" - ref = ref_var - ref = np.reshape(ref, (12, 24, ref.shape[1])) - ref.ref_name = ref_name - ref.lat = test.lat - ref.lon = test.lon + ref_var = ds_ref["cl_p"].values + ref_var = np.reshape(ref_var, (12, 24, ref_var.shape[1])) + ref_diurnal = ref_var else: - ref_data = utils.dataset.Dataset(parameter, ref=True) - ref = ref_data.get_timeseries_variable(var, single_point=True) - ref.lat = ref_data.get_static_variable("lat", var) - ref.lon = ref_data.get_static_variable("lon", var) - if ref.getLevel(): - ref_p = utils.general.convert_to_pressure_levels( - ref, plevs, ref_data, var, season - ) - ref_diurnal, lst = utils.diurnal_cycle.composite_diurnal_cycle( - ref_p, season, fft=False - ) - ref = ref_diurnal + ref_ds = Dataset(parameter, data_type="ref") + ds_ref = ref_ds.get_time_series_dataset(var, single_point=True) - refs.append(ref) + ds_ref_plevs = regrid_z_axis_to_plevs(ds_ref, var, plevs) + ds_ref_plevs["lat"] = ds_test.lat.values + ds_ref_plevs["lon"] = ds_test.lon.values + + ref_diurnal, lst = composite_diurnal_cycle( # type: ignore + ds_ref_plevs, var, season, fft=False + ) + refs.append(ref_diurnal) + + # Create the metrics dictionary. metrics_dict = {} + metrics_dict["unit"] = ds_test[var].units + + # Update the result metrics dictionary and store it in the vars_ + # to_data dictionary. result = RefsTestMetrics( test=test_diurnal, refs=refs, metrics=None, misc=lst ) vars_to_data[season] = result - # Saving the metrics as a json. - metrics_dict["unit"] = test.units + + # Save the metrics to json. parameter.output_file = "-".join([ref_name, var, season, region]) - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - with open(fnm, "w") as outfile: - json.dump(metrics_dict, outfile) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - logger.info("Metrics saved in: " + fnm) + _save_metrics_to_json(parameter, metrics_dict) - if season == "ANNUALCYCLE": - arm_diags_plot.plot_diurnal_cycle_zt( - var, vars_to_data[season], parameter - ) + # Save the plot and viewer output attributes. + parameter.viewer_descr[var] = ds_test[var].attrs.get("long_name", var) + parameter.test_name_yrs = test_ds.get_name_yrs_attr() + parameter.var_name = ds_test[var].attrs.get("long_name", var) + parameter.var_units = ds_test[var].attrs.get("units", var) + + arm_diags_plot._plot_diurnal_cycle_zt(parameter, vars_to_data[season]) return parameter -def run_diag_annual_cycle(parameter: ARMDiagsParameter) -> ARMDiagsParameter: +def _run_diag_annual_cycle(parameter: ARMDiagsParameter) -> ARMDiagsParameter: variables = parameter.variables regions = parameter.regions ref_name = parameter.ref_name ref_path = parameter.reference_data_path - seasons = ["ANNUALCYCLE"] - plevs = np.linspace(100, 1000, 37) + seasons = SEASONS_BY_DIAG["annual_cycle"] for region in regions: # The regions that are supported are in e3sm_diags/derivations/default_regions.py # You can add your own if it's not in there. - logger.info("Selected region: {}".format(region)) + logger.info(f"Selected region: {region}") vars_to_data = collections.OrderedDict() + test_ds = Dataset(parameter, data_type="test") + for season in seasons: - logger.info("Season: {}".format(season)) + logger.info(f"Season: {season}") + for var in variables: - logger.info("Variable: {}".format(var)) - test_data = utils.dataset.Dataset(parameter, test=True) - test = test_data.get_climo_variable(var, season) - if test.getLevel(): - test_p = utils.general.convert_to_pressure_levels( - test, plevs, test_data, var, season - ) - test = utils.climo.climo(test_p, season) + logger.info(f"Variable: {var}") - parameter.viewer_descr[var] = getattr(test, "long_name", var) - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data - ) - parameter.var_name = getattr(test, "long_name", var) - parameter.var_units = getattr(test, "units", var) + ds_test = test_ds.get_climo_dataset(var, season) + da_test = ds_test[var] refs = [] if "armdiags" in ref_name: - # in ARM Diags v2 only sgp site has monthly time series other sites have annual cycle , i.e. 12 time points. - # if "sgp" in region: - # ref_file = os.path.join(ref_path, "sgparmdiagsmonC1.c1.nc") - # else: - # ref_file = os.path.join( - # ref_path, - # region[:3] - # + "armdiagsmonclim" - # + region[3:5].upper() - # + ".c1.nc", - # ) ref_file = os.path.join( ref_path, region[:3] + "armdiagsmon" + region[3:5].upper() + ".c1.nc", ) - ref_data = cdms2.open(ref_file) - vars_funcs = get_vars_funcs_for_derived_var(ref_data, var) + + ds_ref = xr.open_dataset(ref_file) + vars_funcs = _get_vars_funcs_for_derived_var(ds_ref, var) target_var = list(vars_funcs.keys())[0][0] - ref_var = ref_data(target_var) - if hasattr(ref_var, "standard_name"): - ref_var.long_name = ref_var.standard_name - ref = vars_funcs[(target_var,)](utils.climo.climo(ref_var, season)) + ds_ref_climo = ds_ref.temporal.climatology(target_var, "month") + da_ref = vars_funcs[(target_var,)](ds_ref_climo[target_var]).rename( + var + ) + if da_ref.attrs.get("standard_name") is not None: + da_ref.attrs["long_name"] = da_ref.attrs["standard_name"] else: - ref_data = utils.dataset.Dataset(parameter, ref=True) - ref = ref_data.get_climo_variable(var, season) - if ref.getLevel(): - ref_p = utils.general.convert_to_pressure_levels( - ref, plevs, ref_data, var, season - ) - ref = utils.climo.climo(ref_p, season) - ref_domain = utils.general.select_point(region, ref) - ref.ref_name = ref_name + ref_ds = Dataset(parameter, data_type="ref") + ds_ref = ref_ds.get_climo_dataset(var, season) + da_ref = ds_ref[var] + + # TODO make this module work with global monthly data + # ref_domain = utils.regrid._subset_on_arm_coord(ref, var, region) + ref_domain = da_ref.values + # ref[var].ref_name = ref_name refs.append(ref_domain) - test_domain = utils.general.select_point(region, test) + # TODO make this module work with global monthly data + # test_domain = utils.regrid._subset_on_arm_coord(test, var, region) + test_domain = da_test.values - metrics_dict = create_metrics(test_domain, ref_domain) + # Create the metrics dictionary. + metrics_dict = _get_metrics_dict(test_domain, ref_domain) result = RefsTestMetrics( test=test_domain, refs=refs, metrics=metrics_dict, misc=None ) vars_to_data[season] = result - # Saving the metrics as a json. - metrics_dict["unit"] = test.units - metrics_dict["ref_domain"] = list(ref_domain) - metrics_dict["test_domain"] = list(test_domain) + metrics_dict["unit"] = da_test.units + metrics_dict["ref_domain"] = list(ref_domain) # type: ignore + metrics_dict["test_domain"] = list(test_domain) # type: ignore + + # Save the metrics to json. parameter.output_file = "-".join([ref_name, var, season, region]) - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - with open(fnm, "w") as outfile: - json.dump(metrics_dict, outfile) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - logger.info(f"Metrics saved in: {fnm}") + _save_metrics_to_json(parameter, metrics_dict) + + # Set the plot and viewer output attributes. + parameter.viewer_descr[var] = da_test.attrs.get("long_name", var) + parameter.test_name_yrs = test_ds.get_name_yrs_attr() + parameter.var_name = da_test.attrs.get("long_name", var) + parameter.var_units = da_test.attrs.get("units", var) if season == "ANNUALCYCLE": - arm_diags_plot.plot_annual_cycle(var, vars_to_data[season], parameter) + arm_diags_plot._plot_annual_cycle(parameter, var, vars_to_data[season]) return parameter -def run_diag_convection_onset(parameter: ARMDiagsParameter) -> ARMDiagsParameter: +def _run_diag_convection_onset(parameter: ARMDiagsParameter) -> ARMDiagsParameter: regions = parameter.regions ref_name = parameter.ref_name ref_path = parameter.reference_data_path - # Read in observation data + + test_ds = Dataset(parameter, data_type="test") for region in regions: # The regions that are supported are in e3sm_diags/derivations/default_regions.py # You can add your own if it's not in there. - logger.info("Selected region: {}".format(region)) + logger.info(f"Selected region: {region}") - test_data = utils.dataset.Dataset(parameter, test=True) + ds_test_pr = test_ds.get_time_series_dataset("PRECT", single_point=True) + test_pr = ds_test_pr["PRECT"].values / 24 # convert to mm/hr - test_pr = test_data.get_timeseries_variable("PRECT", single_point=True) / 24.0 - test_prw = test_data.get_timeseries_variable("TMQ", single_point=True) - - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs(parameter, test_data) + ds_test_prw = test_ds.get_time_series_dataset("TMQ", single_point=True) + test_prw = ds_test_prw["TMQ"].values if "armdiags" in ref_name: if region == "sgp": @@ -391,198 +351,182 @@ def run_diag_convection_onset(parameter: ARMDiagsParameter) -> ARMDiagsParameter ref_file_name = ( region[:3] + "armdiags1hr" + region[3:5].upper() + ".c1.nc" ) + ref_file = os.path.join(ref_path, ref_file_name) - ref_data = cdms2.open(ref_file) - ref_pr = ref_data("pr") # mm/hr + ds_ref = xr.open_dataset(ref_file) + + ref_pr = ds_ref["pr"].values # mm/hr ref_pr[ref_pr < -900] = np.nan - ref_prw = ref_data("prw") # mm + + ref_prw = ds_ref["prw"].values # mm ref_prw[ref_prw < -900] = np.nan else: - ref_data = utils.dataset.Dataset(parameter, ref=True) - ref_pr = ( - test_data.get_timeseries_variable("PRECT", single_point=True) / 24.0 - ) - ref_prw = test_data.get_timeseries_variable("TMQ", single_point=True) + ref_ds = Dataset(parameter, data_type="ref") + + ds_ref_pr = ref_ds.get_time_series_dataset("PRECT", single_point=True) + ref_pr = ds_ref_pr["PRECT"].values / 24 + + ds_ref_prw = ref_ds.get_time_series_dataset("TMQ", single_point=True) + ref_prw = ds_ref_prw["TMQ"].values + + # Set the plot and viewer output attributes. + parameter.test_name_yrs = test_ds.get_name_yrs_attr() parameter.output_file = "-".join([ref_name, "convection-onset", region]) - arm_diags_plot.plot_convection_onset_statistics( - test_pr, test_prw, ref_pr, ref_prw, parameter, region + time_coords = xc.get_dim_coords(ds_test_pr, axis="T") + parameter.time_interval = int(time_coords[1].dt.hour - time_coords[0].dt.hour) + + arm_diags_plot._plot_convection_onset_statistics( + parameter, region, test_pr, test_prw, ref_pr, ref_prw ) return parameter -def run_diag_aerosol_activation(parameter: ARMDiagsParameter) -> ARMDiagsParameter: +def _run_diag_aerosol_activation(parameter: ARMDiagsParameter) -> ARMDiagsParameter: + # Supported regions are in `e3sm_diags/derivations/default_regions_xr.py` regions = parameter.regions ref_name = parameter.ref_name ref_path = parameter.reference_data_path + + # Possible variables are ccn01, ccn02, ccn05 variables = parameter.variables - # Read in observation data for region in regions: - # The regions that are supported are in e3sm_diags/derivations/default_regions.py - # You can add your own if it's not in there. - logger.info("Selected region: {}".format(region)) - # Possible variables are ccn01, ccn02, ccn05 + logger.info(f"Selected region: {region}") + for variable in variables: - test_data = utils.dataset.Dataset(parameter, test=True) + test_data = Dataset(parameter, data_type="test") - test_a_num = test_data.get_timeseries_variable("a_num", single_point=True)[ - :, - -1, - ].filled(fill_value=np.nan) - test_ccn = test_data.get_timeseries_variable(variable, single_point=True)[ - :, - -1, - ].filled(fill_value=np.nan) + ds_test_a_num = test_data.get_time_series_dataset( + "a_num", single_point=True + ) + test_a_num = ds_test_a_num["a_num"].values[:, -1] + + ds_test_ccn = test_data.get_time_series_dataset(variable, single_point=True) + test_ccn = ds_test_ccn[variable].values[:, -1] # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data - ) + parameter.test_name_yrs = test_data.get_name_yrs_attr() if "armdiags" in ref_name: ref_file = os.path.join( ref_path, region[:3] + "armdiagsaciactivate" + region[3:5].upper() + ".c1.nc", ) - ref_data = cdms2.open(ref_file) - ref_a_num = ref_data("cpc_bulk").filled(fill_value=np.nan) - ref_ccn = ref_data(f"{variable}_bulk").filled(fill_value=np.nan) + ds_ref = xr.open_dataset(ref_file) + + ref_a_num = ds_ref["cpc_bulk"].values + ref_ccn = ds_ref[f"{variable}_bulk"].values else: - ref_data = utils.dataset.Dataset(parameter, ref=True) - ref_a_num = test_data.get_timeseries_variable( + ref_ds = Dataset(parameter, data_type="test") + + ds_ref_a_num = ref_ds.get_time_series_dataset( "a_num", single_point=True - )[ - :, - -1, - ].filled( - fill_value=np.nan - ) - ref_ccn = test_data.get_timeseries_variable( - variable, single_point=True - )[ - :, - -1, - ].filled( - fill_value=np.nan ) + ref_a_num = ds_ref_a_num["a_num"].values[:, -1] + + ds_ref_ccn = ref_ds.get_time_series_dataset(variable, single_point=True) + ref_ccn = ds_ref_ccn[variable].values[:, -1] parameter.output_file = "-".join( [ref_name, "aerosol-activation", region, variable] ) - arm_diags_plot.plot_aerosol_activation( - test_a_num, test_ccn, ref_a_num, ref_ccn, parameter, region, variable + arm_diags_plot._plot_aerosol_activation( + parameter, region, variable, test_a_num, test_ccn, ref_a_num, ref_ccn ) return parameter -def run_diag_annual_cycle_aerosol(parameter: ARMDiagsParameter) -> ARMDiagsParameter: - variables = parameter.variables - regions = parameter.regions - ref_name = parameter.ref_name - ref_path = parameter.reference_data_path - - seasons = ["ANNUALCYCLE"] - - for region in regions: - # The regions that are supported are in e3sm_diags/derivations/default_regions.py - # You can add your own if it's not in there. - logger.info("Selected region: {}".format(region)) - vars_to_data = collections.OrderedDict() - - for season in seasons: - logger.info("Season: {}".format(season)) - for var in variables: - logger.info("Variable: {}".format(var)) - test_data = utils.dataset.Dataset(parameter, test=True) - test = test_data.get_climo_variable(var, season)[:, -1] - - parameter.viewer_descr[var] = getattr(test, "long_name", var) - # Get the name of the data, appended with the years averaged. - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data - ) - parameter.var_name = getattr(test, "long_name", var) - parameter.var_units = getattr(test, "units", var) - - refs = [] - - if "armdiags" in ref_name: - ref_file = os.path.join( - ref_path, - region[:3] + "armdiagsaciclim" + region[3:5].upper() + ".c1.nc", - ) - ref_data = cdms2.open(ref_file) - vars_funcs = get_vars_funcs_for_derived_var(ref_data, var) - target_var = list(vars_funcs.keys())[0][0] - ref_var = ref_data(target_var)[:, 0] # 0 mean; 1 standard devation - if hasattr(ref_var, "standard_name"): - ref_var.long_name = ref_var.standard_name - ref = vars_funcs[(target_var,)](utils.climo.climo(ref_var, season)) - - else: - ref_data = utils.dataset.Dataset(parameter, ref=True) - ref = ref_data.get_climo_variable(var, season)[:, -1] - ref_domain = utils.general.select_point(region, ref) - ref.ref_name = ref_name - refs.append(ref_domain) +def _get_vars_funcs_for_derived_var( + ds: xr.Dataset, var: str +) -> Dict[Tuple[str], Callable]: + """ + Get a dictionary that maps the list of variables to the derivation function. + + The ARM Diags reference datasets file names do not follow E3SM naming + convention, this function is a simplified derived variable routine for + accomodating files from ARM Diags. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + var : str + The key of the variable. + + Returns + ------- + Dict[Tuple[str], Callable] + A tuple of the derived variable and the function to calculate it. + """ + vars_to_func_dict = DERIVED_VARIABLES[var] + vars_in_file = set(ds.keys()) - test_domain = utils.general.select_point(region, test) + # e.g,. [('pr',), ('PRECC', 'PRECL')] + possible_vars: List[Tuple[str]] = list(vars_to_func_dict.keys()) # type: ignore - metrics_dict = create_metrics(test_domain, ref_domain) + for list_of_vars in possible_vars: + if vars_in_file.issuperset(list_of_vars): + return {list_of_vars: vars_to_func_dict[list_of_vars]} + + raise RuntimeError(f"No derived variable function found for the variable {var}") + + +def _get_metrics_dict( + test_var: xr.DataArray | np.ndarray, ref_var: xr.DataArray | np.ndarray +) -> Dict[str, float]: + """Calculate various metrics between the test and reference DataArrays. + + Parameters + ---------- + test_var : xr.DataArray | np.ndarray + The test variable. + ref_var : xr.DataArray | np.ndarray + The reference variable. + + Returns + ------- + metrics_dict : Dict[str, float] + A dictionary containing the calculated metrics: + - 'test_mean': The mean of the test_var. + - 'ref_mean': The mean of the ref_var. + - 'test_std': The standard deviation of the test_var. + - 'ref_std': The standard deviation of the ref_var. + - 'rmse': The root mean squared error between the test and ref vars. + - 'corr': The correlation coefficient between the test and ref vars. + """ + return { + "test_mean": float(test_var.mean()), + "ref_mean": float(ref_var.mean()), + "test_std": float(test_var.std(ddof=1)), + "ref_std": float(ref_var.std(ddof=1)), + "rmse": float(_rmse(test_var, ref_var)), + "corr": float(np.corrcoef(test_var, ref_var)[0, 1]), + } - result = RefsTestMetrics( - test=test_domain, refs=refs, metrics=metrics_dict, misc=None - ) - vars_to_data[season] = result - # Saving the metrics as a json. - metrics_dict["unit"] = test.units - metrics_dict["ref_domain"] = list(ref_domain) - metrics_dict["test_domain"] = list(test_domain) - print(parameter.var_units, test.units) - parameter.output_file = "-".join( - [ref_name, var, season, "aerosol", region] - ) - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - with open(fnm, "w") as outfile: - json.dump(metrics_dict, outfile) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), - parameter.output_file + ".json", - ) - logger.info(f"Metrics saved in: {fnm}") - if season == "ANNUALCYCLE": - arm_diags_plot.plot_annual_cycle(var, vars_to_data[season], parameter) +def _rmse(predictions, targets): + return np.sqrt(((predictions - targets) ** 2).mean()) - return parameter +def _save_metrics_to_json(parameter: ARMDiagsParameter, metrics_dict: Dict[str, float]): + """Save metrics dictionary to a JSON file. -def run_diag_pdf_daily(parameter: ARMDiagsParameter): - logger.info("'run_diag_pdf_daily' is not yet implemented.") + Parameters + ---------- + parameter : ARMDiagsParameter + The parameter object. + metrics_dict : dict + Dictionary containing the metrics to be saved. + """ + output_dir = _get_output_dir(parameter) + filename = parameter.output_file + ".json" + abs_path = os.path.join(output_dir, filename) + with open(abs_path, "w") as outfile: + json.dump(metrics_dict, outfile) -def run_diag(parameter: ARMDiagsParameter) -> ARMDiagsParameter: - if parameter.diags_set == "annual_cycle": - return run_diag_annual_cycle(parameter) - elif parameter.diags_set == "diurnal_cycle": - return run_diag_diurnal_cycle(parameter) - elif parameter.diags_set == "diurnal_cycle_zt": - return run_diag_diurnal_cycle_zt(parameter) - elif parameter.diags_set == "pdf_daily": - return run_diag_pdf_daily(parameter) - elif parameter.diags_set == "convection_onset": - return run_diag_convection_onset(parameter) - elif parameter.diags_set == "aerosol_activation": - return run_diag_aerosol_activation(parameter) - if parameter.diags_set == "annual_cycle_aerosol": - return run_diag_annual_cycle_aerosol(parameter) - else: - raise Exception("Invalid diags_set={}".format(parameter.diags_set)) + logger.info(f"Metrics saved in: {abs_path}") diff --git a/e3sm_diags/driver/utils/climo_xr.py b/e3sm_diags/driver/utils/climo_xr.py index 92d2c751a..57e2a7297 100644 --- a/e3sm_diags/driver/utils/climo_xr.py +++ b/e3sm_diags/driver/utils/climo_xr.py @@ -36,6 +36,7 @@ "JJA", "SON", "ANNUALCYCLE", + "SEASONALCYCLE", ] CLIMO_FREQS = get_args(ClimoFreq) @@ -99,11 +100,7 @@ def climo(dataset: xr.Dataset, var_key: str, freq: ClimoFreq): The variable's climatology. """ # Get the frequency's cycle index map and number of cycles. - if freq not in get_args(ClimoFreq): - raise ValueError( - f"`freq='{freq}'` is not a valid climatology frequency. Options " - f"include {get_args(ClimoFreq)}'" - ) + cycle = _get_cycle_for_freq(freq) # Time coordinates are centered (if they aren't already) for more robust # weighted averaging calculations. @@ -113,18 +110,6 @@ def climo(dataset: xr.Dataset, var_key: str, freq: ClimoFreq): # Extract the data variable from the new dataset to calculate weighted # averaging. dv = ds[var_key].copy() - time_coords = xc.get_dim_coords(dv, axis="T") - - # Loop over the time coordinates to get the indexes related to the - # user-specified climatology frequency using the frequency index map - # (`FREQ_IDX_MAP``). - time_idx = [] - for i in range(len(time_coords)): - month = time_coords[i].dt.month.item() - idx = FREQ_IDX_MAP[freq][month - 1] - time_idx.append(idx) - - time_idx = np.array(time_idx, dtype=np.int64).nonzero() # type: ignore # Convert data variable from an `xr.DataArray` to a `np.MaskedArray` to # utilize the weighted averaging function and use the time bounds @@ -137,15 +122,41 @@ def climo(dataset: xr.Dataset, var_key: str, freq: ClimoFreq): time_bnds = ds.bounds.get_bounds(axis="T") time_lengths = (time_bnds[:, 1] - time_bnds[:, 0]).astype(np.float64) - # Calculate the weighted average of the masked data variable using the - # appropriate indexes and weights. - climo = ma.average(dv_masked[time_idx], axis=0, weights=time_lengths[time_idx]) + ncycle = len(cycle) + climo = ma.zeros([ncycle] + list(np.shape(dv))[1:]) + + # Loop over the month values of the time coordiantes to get the indexes + # related to the user-specified climatology frequency using the frequency + # index map(``FREQ_IDX_MAP``). + time_coords = xc.get_dim_coords(dv, axis="T") + time_coords_months = time_coords[:].dt.month.values + for n in range(ncycle): + time_idx = np.array( + [ + FREQ_IDX_MAP[cycle[n]][time_coords_months[i] - 1] + for i in range(len(time_coords_months)) + ], + dtype=np.int64, + ).nonzero() + + # Calculate the weighted average of the masked data variable using the + # appropriate indexes and weights. + climo[n] = ma.average( + dv_masked[time_idx], axis=0, weights=time_lengths[time_idx] + ) + + if ncycle == 1: + # Construct the climatology xr.DataArray using the averaging output. + # Time coordinates are not included since they become a singleton after + # averaging. + dims = [dim for dim in dv.dims if dim != time_coords.name] + coords = {k: v for k, v in dv.coords.items() if k in dims} + climo = climo.squeeze(axis=0) + elif ncycle > 1: + dims = [dim for dim in dv.dims] + coords = {k: v for k, v in dv.coords.items() if k in dims} + coords[time_coords.name] = cycle - # Construct the climatology xr.DataArray using the averaging output. The - # time coordinates are not included since they become a singleton after - # averaging. - dims = [dim for dim in dv.dims if dim != time_coords.name] - coords = {k: v for k, v in dv.coords.items() if k in dims} dv_climo = xr.DataArray( name=dv.name, data=climo, @@ -155,3 +166,50 @@ def climo(dataset: xr.Dataset, var_key: str, freq: ClimoFreq): ) return dv_climo + + +def _get_cycle_for_freq(freq: ClimoFreq) -> List[ClimoFreq]: + """Get the cycle periods for a given climatology frequency. + + Parameters + ---------- + freq : ClimoFreq + The frequency of the climatology (e.g., 'ANNUALCYCLE', 'SEASONALCYCLE'). + + Returns + ------- + List[ClimoFreq] + The cycle periods corresponding to the given frequency. + + Raises + ------ + ValueError + If the provided frequency is not valid. + """ + if freq not in get_args(ClimoFreq): + raise ValueError( + f"`freq='{freq}'` is not a valid climatology frequency. Options " + f"include {get_args(ClimoFreq)}'" + ) + + if freq == "ANNUALCYCLE": + cycle = [ + "01", + "02", + "03", + "04", + "05", + "06", + "07", + "08", + "09", + "10", + "11", + "12", + ] + elif freq == "SEASONALCYCLE": + cycle = ["DJF", "MAM", "JJA", "SON"] + else: + cycle = [freq] + + return cycle # type: ignore diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 98ce68c43..d94c8df96 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -360,11 +360,16 @@ def get_climo_dataset(self, var: str, season: ClimoFreq) -> xr.Dataset: if self.is_climo: ds = self._get_climo_dataset(season) + return ds elif self.is_time_series: ds = self.get_time_series_dataset(var) - ds[self.var] = climo(ds, self.var, season) - - return ds + ds_climo = climo(ds, self.var, season).to_dataset() + return ds_climo + else: + raise RuntimeError( + "This Dataset object could not be identified as either a climatology " + "(`self.is_climo`) or time series dataset (`self.is_time_series`)." + ) def _get_climo_dataset(self, season: str) -> xr.Dataset: """Get the climatology dataset for the variable and season. @@ -1030,9 +1035,7 @@ def _get_time_series_dataset_obj(self, var) -> xr.Dataset: ds = xc.open_dataset( filepath, add_bounds=["X", "Y", "T"], decode_times=True, use_cftime=True ) - - time_slice = self._get_time_slice(ds, filepath) - ds_subset = ds.sel(time=time_slice).squeeze() + ds_subset = self._subset_time_series_dataset(ds, filepath) return ds_subset @@ -1157,6 +1160,28 @@ def _get_matching_time_series_filepath( return None + def _subset_time_series_dataset(self, ds: xr.Dataset, filepath: str) -> xr.Dataset: + """Subset the time series dataset based on the filepath. + + Parameters + ---------- + ds : xr.Dataset + The time series dataset. + filepath : str + The filepath of the dataset. + + Returns + ------- + xr.Dataset + The subsetted time series dataset. + """ + time_slice = self._get_time_slice(ds, filepath) + ds_subset = ds.sel(time=time_slice).squeeze() + + ds_subset = self._exclude_sub_monthly_coord_spanning_year(ds_subset) + + return ds_subset + def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: """Get time slice to subset a dataset. @@ -1201,7 +1226,9 @@ def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: if self.is_sub_monthly: start_time = f"{start_yr_str}-01-01" - end_time = f"{str(int(end_yr_str) + 1)}-01-01" + + end_yr_str = str(int(end_yr_str) + 1).zfill(4) + end_time = f"{end_yr_str}-01-01" else: start_time = self._get_slice_with_bounds(ds, start_yr_str, "start") end_time = self._get_slice_with_bounds(ds, end_yr_str, "end") @@ -1341,10 +1368,7 @@ def _get_year_str(self, year: int) -> str: str The year as a string (e.g., "2001", "0001"). """ - if year >= 0 and year < 1000: - return f"{year:04}" - - return str(year) + return str(year).zfill(4) def _get_month_day_str(self, month: int, day: int) -> str: """Get the month and day string in ISO-8601 format from integers. @@ -1379,6 +1403,46 @@ def _get_month_day_str(self, month: int, day: int) -> str: return f"{month_str}-{day_str}" + def _exclude_sub_monthly_coord_spanning_year( + self, ds_subset: xr.Dataset + ) -> xr.Dataset: + """ + Exclude the last time coordinate for sub-monthly data if it extends into + the next year. + + Excluding end time coordinates that extend to the next year is + necessary because downstream operations such as annual cycle climatology + should consist of data for full years for accurate calculations. + + For example, if the time slice is ("0001-01-01", "0002-01-01") and + the last time coordinate is: + * "0002-01-01" -> exclude + * "0001-12-31" -> don't exclude + + Parameters + ---------- + ds_subset : xr.Dataset + The subsetted dataset. + + Returns + ------- + xr.Dataset + The dataset with the last time coordinate excluded if necessary. + + Notes + ----- + This function replicates the CDAT cdms2 "co" slice flag (close, open). + """ + time_dim = xc.get_dim_keys(ds_subset, axis="T") + time_values = ds_subset[time_dim] + last_time_year = time_values[-1].dt.year.item() + second_last_time_year = time_values[-2].dt.year.item() + + if self.is_sub_monthly and last_time_year > second_last_time_year: + ds_subset = ds_subset.isel(time=slice(0, -1)) + + return ds_subset + def _center_time_for_non_submonthly_data(self, ds: xr.Dataset) -> xr.Dataset: """Center time coordinates using bounds for non-submonthly data. diff --git a/e3sm_diags/driver/utils/diurnal_cycle_xr.py b/e3sm_diags/driver/utils/diurnal_cycle_xr.py index cf4a1a6ea..14706f4e5 100644 --- a/e3sm_diags/driver/utils/diurnal_cycle_xr.py +++ b/e3sm_diags/driver/utils/diurnal_cycle_xr.py @@ -70,8 +70,8 @@ def composite_diurnal_cycle( nlat = 1 nlon = 1 - lat = [lat] # type: ignore - lon = [lon] # type: ignore + lat = [ds.lat.values] # type: ignore + lon = [ds.lon.values] # type: ignore else: nlat = len(lat) # type: ignore nlon = len(lon) # type: ignore @@ -136,20 +136,22 @@ def _calc_var_diurnal( cycle = CLIMO_CYCLE_MAP.get(season, [season]) ncycle = len(cycle) + time_coords_months = time.dt.month.values + # var_diurnal has shape i.e. (ncycle, ntimesteps, [lat,lon]) for lat lon data var_diurnal = ma.zeros([ncycle] + [time_freq] + list(np.shape(var))[1:]) for n in range(ncycle): # Get time index for each month/season. - time_idxs = [] - - for time_idx in range(len(time)): - month_idx = (time[time_idx].dt.month - 1).item() - cycle_idx = cycle[n] - - time_idxs.append(SEASON_IDX[cycle_idx][month_idx]) - - time_idxs = np.array(time_idxs, dtype=int).nonzero() # type: ignore + # Using a list comprehension to make looping faster, also + # to have time_coords_months an array gets more speedup. + time_idxs = np.array( + [ + SEASON_IDX[cycle[n]][time_coords_months[i] - 1] + for i in range(len(time_coords_months)) + ], + dtype=np.int64, + ).nonzero() var_reshape = np.reshape( var[time_idxs].values, @@ -191,7 +193,7 @@ def _get_time_freq_and_start_time(time: xr.DataArray) -> Tuple[int, int]: logger.info(f"start_time {time.values[0]} {start_time.item()}") logger.info(f"var_time_freq={time_freq}") - return time_freq, start_time + return time_freq, start_time.values def _get_lat_and_lon( diff --git a/e3sm_diags/parameter/arm_diags_parameter.py b/e3sm_diags/parameter/arm_diags_parameter.py index d682fc94b..2fcc0f3cb 100644 --- a/e3sm_diags/parameter/arm_diags_parameter.py +++ b/e3sm_diags/parameter/arm_diags_parameter.py @@ -25,3 +25,6 @@ def __init__(self): self.var_name: Optional[str] = None self.var_units: Optional[str] = None + + # The time interval in hours for the diurnal cycle + self.time_interval: Optional[int] = None diff --git a/e3sm_diags/plot/arm_diags_plot.py b/e3sm_diags/plot/arm_diags_plot.py new file mode 100644 index 000000000..5dd72057f --- /dev/null +++ b/e3sm_diags/plot/arm_diags_plot.py @@ -0,0 +1,814 @@ +from __future__ import annotations + +import math +import os +import warnings +from typing import TYPE_CHECKING, List, TypedDict + +import matplotlib +import numpy as np +from matplotlib.gridspec import GridSpec + +from e3sm_diags.driver.utils.diurnal_cycle_xr import _fft_all_grid +from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.logger import custom_logger +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter + +matplotlib.use("agg") + +import matplotlib.pyplot as plt # isort:skip # noqa: E402 + +logger = custom_logger(__name__) + +if TYPE_CHECKING: + from e3sm_diags.driver.arm_diags_driver import RefsTestMetrics + + +MONTHS = [ + "Jan", + "Feb", + "Mar", + "Apr", + "May", + "Jun", + "Jul", + "Aug", + "Sep", + "Oct", + "Nov", + "Dec", +] + + +# Region information for convection onset statistics. +class Stats(TypedDict): + cwv_max: int + cwv_min: int + bin_width: float + sitename: str + + +class RegionStats(TypedDict): + twpc1: Stats + twpc2: Stats + twpc3: Stats + sgpc1: Stats + + +REGION_INFO: RegionStats = { + "twpc1": { + "cwv_max": 69, + "cwv_min": 28, + "bin_width": 1.5, + "sitename": "Manus Island", + }, + "twpc2": {"cwv_max": 70, "cwv_min": 28, "bin_width": 2.0, "sitename": "Nauru"}, + "twpc3": {"cwv_max": 85, "cwv_min": 28, "bin_width": 2.0, "sitename": "Darwin"}, + "sgpc1": {"cwv_max": 75, "cwv_min": 20, "bin_width": 2.0, "sitename": "SGP"}, +} + +# Precipitation threshold for convection onset, default 0.5 (in mm/hr). +PRECIP_THRESHOLD = 0.5 + + +def _plot_diurnal_cycle(parameter: ARMDiagsParameter, vars_to_data: RefsTestMetrics): + """Plot the diurnal cycle of Total Precipitation Rate. + + Parameters: + ----------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the parameters for plotting. + vars_to_data : RefsTestMetrics + The ordered dictionary containing the variables and their corresponding + data. + """ + test = vars_to_data.test[0] + ref = vars_to_data.refs[0][0] + lst = vars_to_data.misc[0] + t_conv = lst[0][0] + + output_file_name = parameter.output_file + "-" + "diurnal-cycle" + + fig = plt.figure() + ax = fig.add_axes([0.15, 0.1, 0.8, 0.8]) + + for index in range(2): + if index == 0: + data = test + line_c = "k" + data_name = parameter.test_name_yrs + else: + data = ref + line_c = "r" + data_name = parameter.ref_name + + time_freq = len(data) + res = int(24 / time_freq) + c, maxvalue, tmax = _fft_all_grid(data, np.array([0])) + + # Configure x and y axes. + # ---------------------------------------------------------------------- + x_axis1 = np.linspace(0, 48 - res, time_freq * 2) + ax.plot(x_axis1, np.concatenate((data, data)), "." + line_c, label=data_name) + + x_axis2 = np.linspace(0, 48 - res, time_freq * 2 * 3) + w = 2.0 * np.pi / 24 + yax = (c + maxvalue[0] * np.sin(w * x_axis2 + np.pi / 2 - tmax[0] * w))[0] + ax.plot(x_axis2, yax, line_c, label="First harmonic") + + plt.xlim([24 - t_conv, 47 - t_conv + 1]) + plt.ylim([0, 5.5]) + plt.xlabel("local solar time [hr]") + plt.ylabel("Total Precipitation Rate" + " (" + parameter.var_units + ")") # type: ignore + + x_axis3 = np.arange(24 - t_conv, 47 - t_conv, 3) + x_ticks_hrs = ["0h", "3h", "6h", "9h", "12h", "15h", "18h", "21h"] + plt.xticks(x_axis3, x_ticks_hrs) + + # Configure legend and title. + # ---------------------------------------------------------------------- + plt.legend(loc="upper right") + plt.title(output_file_name.replace("-", " ")) + + _save_plots(parameter, output_file_name, parameter.output_format) + plt.close() + + +def _plot_diurnal_cycle_zt(parameter: ARMDiagsParameter, vars_to_data: RefsTestMetrics): + """Plot the diurnal cycle of cloud fraction for each month. + + Parameters: + ----------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the parameters for plotting. + vars_to_data : RefsTestMetrics + The ordered dictionary containing the variables and their corresponding + data. + """ + ref = vars_to_data.refs[0] + test = vars_to_data.test + lst = vars_to_data.misc + + for index in range(2): + fig, axs = plt.subplots( + 4, + 3, + figsize=(15, 12), + facecolor="w", + edgecolor="k", + sharex=True, + sharey=True, + ) + fig.subplots_adjust(hspace=0.4, wspace=0.1) + + axs = axs.ravel() + t_conv = lst[0][0][0] + + for imon in range(12): + if index == 0: + title = parameter.ref_name + data = ref + data_name = "ref" + if "armdiags" in title: + data = data[:, :, ::-1] + + else: + title = parameter.test_name_yrs + data = test + data_name = "test" + + time_freq = data.shape[1] + + # Configure x and y axes. + # ------------------------------------------------------------------ + yy = np.linspace(0, 48, time_freq * 2) + xx = np.linspace(100, 1000, 37) + x, y = np.meshgrid(xx, yy) + data_con = np.concatenate((data[imon, :, :], data[imon, :, :]), axis=0) + im = axs[imon].pcolormesh( + y, x, data_con[:, :], vmin=0, vmax=30, cmap="jet", shading="auto" + ) + axs[imon].set_title(MONTHS[imon]) + plt.xlim([24 - t_conv, 47 - t_conv]) + xax = np.arange(24 - t_conv, 47 - t_conv, 3) + + my_xticks = ["0", "3", "6", "9", "12", "15", "18", "21"] + plt.xticks(xax, my_xticks) + axs[imon].xaxis.set_tick_params(labelbottom=True) + + axs[imon].set_xlabel("Local time (hr)") + + # Configure y label. + # ----------------------------------------------------------------------) + for ax in axs[::3]: + ax.set_ylabel("Pressure (mb)") + axs[0].invert_yaxis() + + # Configure titles. + # ----------------------------------------------------------------------) + site = parameter.output_file.split("-")[-1] + suptitle = "Cloud Fraction Monthly Diurnal Cycle " + site + "\n" + title + + plt.suptitle(suptitle, fontsize=20) + fig.subplots_adjust(right=0.8) + + # Configure colorbar. + # ----------------------------------------------------------------------) + cbar_ax = fig.add_axes([0.85, 0.15, 0.05, 0.7]) + fig.colorbar(im, cax=cbar_ax) + plt.title("cl (%)") + + output_file_name = parameter.output_file + "-" + data_name + _save_plots(parameter, output_file_name, parameter.output_format) + + plt.close() + + +def _plot_convection_onset_statistics( + parameter: ARMDiagsParameter, + region: str, + test_pr: np.ndarray, + test_prw: np.ndarray, + ref_pr: np.ndarray, + ref_prw: np.ndarray, +): + """Plot the convection onset statistics. + + Parameters + ---------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the parameters for the plot. + region : str + The region for which the plot is generated. + test_pr : np.ndarray + The test precipitation data. + test_prw : np.ndarray + The test precipitable water data. + ref_pr : np.ndarray + The reference precipitation data. + ref_prw : np.ndarray + The reference precipitable water data. + + Notes + ----- + - Original code: Kathleen Schiro, python version 22 Dec 2016, University of + California Dept. of Atmospheric and Oceanic Sciences + - Modifications: Baird Langenbrunner, Yi-Hung Kuo + - Modifications: Jill Zhang, Cheng Tao + - Scientific supervision: Prof. J David Neelin + + For related publications and research information see the Neelin group + webpage http://www.atmos.ucla.edu/~csi/. + """ + region_info: Stats | None = REGION_INFO.get(region) # type: ignore + if region_info is None: + raise ValueError(f"Invalid region: {region}") + + cwv_max = region_info["cwv_max"] + cwv_min = region_info["cwv_min"] + bin_width = region_info["bin_width"] + site_name = region_info["sitename"] + + fig, axes = plt.subplots(1, 3, figsize=(12, 3)) + fig.subplots_adjust(wspace=0.3) + title = "" + + for index in range(2): + if index == 0: + precip = test_pr + cwv = test_prw + data_name = "Test: " + parameter.test_name_yrs + line_color = ["black", "grey"] + time_interval = parameter.time_interval + else: + precip = ref_pr + cwv = ref_prw + data_name = "Ref: " + parameter.ref_name + line_color = ["blue", "steelblue"] + time_interval = 1 + + number_of_bins = int(np.ceil((cwv_max - cwv_min) / bin_width)) + bin_center = np.arange( + (cwv_min + (bin_width / 2)), + (cwv_max - (bin_width / 2)) + bin_width, + bin_width, + ) + if len(bin_center) != number_of_bins: + bin_center = np.arange( + (cwv_min + (bin_width / 2)), (cwv_max - (bin_width / 2)), bin_width + ) + + # Define variables for binning + bin_index = np.zeros([number_of_bins, cwv.size]) + precip_binned = np.empty([number_of_bins, cwv.size]) * np.nan + precip_counts = np.zeros([number_of_bins, cwv.size]) + + # FIXME: Why are we ignoring warnings here? + warnings.filterwarnings("ignore") + # Bin the data by CWV value as specified above + for i in range(0, number_of_bins): + tmp1 = np.where(cwv > cwv_min + (i * bin_width)) + bin_index[i, tmp1] = 1 + tmp2 = np.where(cwv > cwv_min + (i * bin_width) + bin_width) + bin_index[i, tmp2] = 0 + + for i in range(0, number_of_bins): + tmp1 = np.where(bin_index[i, :] == 1) + precip_binned[i, tmp1] = precip[tmp1] + tmp2 = np.where(bin_index[i, :] != 1) + precip_binned[i, tmp2] = np.nan + + for i in range(0, number_of_bins): + tmp1 = np.where(precip_binned[i, :] >= PRECIP_THRESHOLD) + precip_counts[i, tmp1] = 1 + for j in range(0, cwv.size): + if np.isnan(precip_binned[i, j]): + precip_counts[i, j] = np.nan + + # Create binned arrays + hist_cwv = np.empty([number_of_bins, 1]) * np.nan + hist_precip_points = np.empty([number_of_bins, 1]) * np.nan + + pr_binned_mean = np.empty([number_of_bins, 1]) * np.nan + pr_binned_std = np.empty([number_of_bins, 1]) * np.nan + pr_probability = np.empty([number_of_bins, 1]) * np.nan + + errorbar_precip_points = np.empty([number_of_bins, 1]) * np.nan + errorbar_precip = np.empty([number_of_bins, 1]) * np.nan + errorbar_precip_binom = np.empty([number_of_bins, 2]) * np.nan + + # Fill binned arrays + hist_cwv = bin_index.sum(axis=1) + hist_cwv[hist_cwv <= 1] = 0 + + hist_precip_points = np.nansum(precip_counts, axis=1) + hist_precip_points[hist_precip_points <= 1] = 0 + + pr_binned_mean = np.nanmean(precip_binned, axis=1) + pr_binned_std = np.nanstd(precip_binned, axis=1) + + r = np.empty([1, number_of_bins]) * np.nan + r = np.sum(~np.isnan(precip_counts), axis=1) + pr_probability = np.nansum(precip_counts, axis=1) / r + + freq_cwv = (hist_cwv / bin_width) / np.nansum(hist_cwv) + freq_precipitating_points = hist_precip_points / bin_width / np.nansum(hist_cwv) + + for i in range(0, number_of_bins): + errorbar_precip[i] = pr_binned_std[i] / math.sqrt(hist_cwv[i]) + errorbar_precip_points[i] = ( + math.sqrt(hist_precip_points[i]) + / np.nansum(hist_cwv / bin_width) + / bin_width + ) + z = 0.675 + + phat = hist_precip_points[i] / hist_cwv[i] + + errorbar_precip_binom[i, 0] = z * math.sqrt(phat * (1 - phat) / hist_cwv[i]) + errorbar_precip_binom[i, 1] = z * math.sqrt(phat * (1 - phat) / hist_cwv[i]) + + # General plot configurations. + # ---------------------------------------------------------------------- + axes_fontsize = 12 # size of font in all plots + marker_size = 40 # size of markers in scatter plots + xtick_pad = 10 # padding between x tick labels and actual plot + bin_width = (np.max(bin_center) - np.min(bin_center)) / number_of_bins + + # Figure 1. + # -------------------------------------------------------------------------- + ax1 = axes[0] + xulim = 5 * np.ceil(np.max(np.round(bin_center + bin_width / 2)) / 5) + xllim = 5 * np.floor(np.min(np.round(bin_center - bin_width / 2)) / 5) + + ax1.tick_params(labelsize=axes_fontsize) + ax1.tick_params(axis="x", pad=10) + ax1.errorbar( + bin_center, + pr_binned_mean, + yerr=errorbar_precip.squeeze(), + ls="none", + color="black", + ) + + ax1.scatter( + bin_center, + pr_binned_mean, + edgecolor="none", + facecolor=line_color[0], + s=marker_size, + clip_on=True, + zorder=3, + label=data_name.split(":")[0], + ) + ax1.set_xlim(xllim - 10, cwv_max) + ax1.set_ylim(0, 3) + ax1.set_ylabel("Precip (mm/hr)", fontsize=axes_fontsize) + ax1.set_xlabel("CWV (mm)", fontsize=axes_fontsize) + ax1.set_axisbelow(True) + legend_handles, legend_labels = ax1.get_legend_handles_labels() + ax1.legend(legend_handles, legend_labels, loc="upper left", frameon=False) + + # Figure 2 (probability pickup) + # ---------------------------------------------------------------------- + ax2 = axes[1] + xulim = 5 * np.ceil(np.max(np.round(bin_center + bin_width / 2)) / 5) + xllim = 5 * np.floor(np.min(np.round(bin_center - bin_width / 2)) / 5) + # ax2.set_xlim(xllim-10,xulim+15) + ax2.tick_params(labelsize=axes_fontsize) + ax2.errorbar( + bin_center, + pr_probability, + yerr=errorbar_precip_binom.T, + fmt="none", + color="black", + ) + ax2.tick_params(axis="x", pad=xtick_pad) + ax2.scatter( + bin_center, + pr_probability, + marker="d", + s=marker_size, + edgecolor="none", + facecolor=line_color[0], + zorder=3, + label=data_name.split(":")[0], + ) + ax2.set_xlim(xllim - 10, cwv_max) + ax2.set_ylim(0, 1) + ax2.set_yticks([0.0, 0.2, 0.4, 0.6, 0.8, 1.0]) + ax2.set_ylabel("Probability of Precip.", fontsize=axes_fontsize) + ax2.set_xlabel("CWV (mm)", fontsize=axes_fontsize) + ax2.set_axisbelow(True) + + legend_handles, legend_labels = ax2.get_legend_handles_labels() + ax2.legend(legend_handles, legend_labels, loc="upper left", frameon=False) + title = ( + title + + data_name + + ": " + + str(time_interval) + + " hrly(" + + line_color[0] + + ")\n" + ) + + # Figure 3 (non-normalized PDF). + # ---------------------------------------------------------------------- + ax3 = axes[2] + ax3.set_yscale("log") + + xulim = 5 * np.ceil(np.max(np.round(bin_center + bin_width / 2)) / 5) + xllim = 5 * np.floor(np.min(np.round(bin_center - bin_width / 2)) / 5) + # ax3.set_xlim(xllim-10,xulim+15) + ax3.set_xlim(xllim - 10, cwv_max) + ax3.set_xticks( + np.arange(np.ceil(xllim / 10) * 10 - 10, np.ceil(xulim / 10) * 10 + 15, 15) + ) + # low_lim = -6.0 + low_lim = -4.0 + ax3.set_ylim(10**low_lim, 100) + ax3.set_yticks(10 ** np.arange(low_lim, 2, dtype="float64")) + ax3.tick_params(labelsize=axes_fontsize) + ax3.tick_params(axis="x", pad=xtick_pad) + freq_precipitating_points[freq_precipitating_points == 0] = np.nan + freq_cwv[freq_cwv == 0] = np.nan + + ax3.scatter( + bin_center, + freq_cwv, + color=line_color[0], + label=data_name.split(":")[0] + ": all", + ) + ax3.scatter( + bin_center, + freq_precipitating_points, + edgecolor="none", + facecolor=line_color[1], + s=marker_size, + zorder=3, + label=data_name.split(":")[0] + ": precip $>$ 0.5 mm/hr ", + ) + ax3.set_ylabel("PDF", fontsize=axes_fontsize) + ax3.set_xlabel("CWV (mm)", fontsize=axes_fontsize) + ax3.set_axisbelow(True) + + # create legend + legend_handles, legend_labels = ax3.get_legend_handles_labels() + ax3.legend( + legend_handles, + legend_labels, + loc="upper left", + bbox_to_anchor=(0.1, 0.95), + fontsize=9, + scatterpoints=1, + handlelength=0, + labelspacing=0, + borderpad=0, + borderaxespad=0, + frameon=False, + ) + + plt.suptitle( + "Convection Onset Metrics" + " at " + site_name, y=1.15, fontweight="bold" + ) + plt.title(title, ha="left", x=-2, y=0.98) + + # Save the figure. + output_file_name = parameter.output_file + _save_plots( + parameter, + output_file_name, + parameter.output_format, + transparent=True, + bbox_inches="tight", + ) + + plt.close() + + +def _get_seasonal_mean(data: np.ndarray) -> np.ndarray: + """Calculate annual mean and seasonal mean of input data (mean of 12 month) + + TODO: Use climo_xr to get weighted seasonal mean + + Parameters: + ----------- + data : np.ndarray + Input data array. + + Returns: + -------- + np.ndarray + Array containing the annual mean and seasonal means. + """ + ac = data + ac_dec = np.concatenate((ac, ac))[11:23] + season = np.nanmean(ac_dec.reshape(-1, 3), axis=1) + ann = np.nanmean(season) + + return np.hstack([ann, season.data]) + + +def _plot_annual_cycle( + parameter: ARMDiagsParameter, var: str, vars_to_data: RefsTestMetrics +): + """Plot the annual cycle of a variable. + + Parameters: + ----------- + parameter : ARMDiagsParameter + The parameter object containing information about the plot. + var : str + The variable to plot. + vars_to_data : RefsTestMetrics + A dictionary mapping variable names to data. + """ + line_color = ["r", "b", "g", "m"] + fig = plt.figure() + + ax1 = fig.add_axes([0.15, 0.1, 0.8, 0.8]) # Create axes + xax = np.arange(1, 13, 1) + + refs = vars_to_data.refs + test = vars_to_data.test + ax1.plot(xax, test, "k", linewidth=2, label="Test: " + parameter.test_name_yrs) + + test_season = _get_seasonal_mean(test) + + for i_ref, ref in enumerate(refs): + ref_season = _get_seasonal_mean(ref) + ax1.plot( + xax, + ref, + line_color[i_ref], + linewidth=2, + label="Ref: " + parameter.ref_name, + ) + + my_xticks = ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"] + + plt.xticks(xax, my_xticks) + plt.xlim(1, 12) + ymin, ymax = plt.gca().get_ylim() + plt.ylim(0.8 * ymin, 1.2 * ymax) + + plt.xlabel("Month") + plt.legend(loc="best", prop={"size": 10}) + + if var == "PRECT": + plt.ylabel("Total Precipitation Rate" + " (" + parameter.var_units + ")") # type: ignore + else: + plt.ylabel(parameter.var_name + " (" + parameter.var_units + ")") # type: ignore + + # Add a table at the bottom of the axes + bias = test_season - ref_season + cell_text = np.round(np.vstack((test_season, ref_season, bias)), 2) + collabel = ("ANN", "DJF", "MAM", "JJA", "SON") + rows = ("Test", "Ref", "Bias") + plt.table( + cellText=cell_text, + rowLabels=rows, + colLabels=collabel, + alpha=0.8, + bbox=[0.15, 0.0, 0.8, 0.2], + ) + + output_file_name = parameter.output_file + plt.title(output_file_name.replace("-", " ")) + _save_plots(parameter, output_file_name, parameter.output_format) + + plt.close() + + +def _plot_aerosol_activation( + parameter: ARMDiagsParameter, + region: str, + variable: str, + test_a_num: np.ndarray, + test_ccn_num: np.ndarray, + ref_a_num: np.ndarray, + ref_ccn_num: np.ndarray, +): + """Plot the aerosol activation. + + Parameters + ---------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the parameters for the plot. + region : str + The region for which the plot is generated. + variable : str + The variable for which the plot is generated. + test_a_num : np.ndarray + The test aerosol number concentration data. + test_ccn_num : np.ndarray + The test CCN number concentration data. + ref_a_num : np.ndarray + The reference aerosol number concentration data. + ref_ccn_num : np.ndarray + The reference CCN number concentration data. + + Notes + ----- + Program for generate aerosol-to-ccn activate metric + - Original code: Xiaojian Zheng, Cheng Tao + - Modifications: Jill Zhang + + For related publications and research information see + https://github.com/ARM-DOE/arm-gcm-diagnostics/blob/master/docs/ARM_DIAGS_v3_TechReport.pdf # + """ + _subplot_aerosol_ccn( + parameter, + region, + variable, + test_a_num, + test_ccn_num, + ) + _subplot_aerosol_ccn( + parameter, region, variable, ref_a_num, ref_ccn_num, test=False + ) + return + + +def _subplot_aerosol_ccn( + parameter: ARMDiagsParameter, + region: str, + variable: str, + a_num: np.ndarray, + ccn_num: np.ndarray, + test: bool = True, +): + """ + Plot the aerosol activation. + + Parameters + ---------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the parameters for the plot. + region : str + The region for which the plot is generated. + variable : str + The variable for which the plot is generated. + a_num : np.ndarray + The aerosol number concentration data. + ccn_num : np.ndarray + The CCN number concentration data. + test : bool, optional + Whether the data is from the test model or the reference model, by + default True. + """ + # Bulk aerosol vs. ccn + if region == "sgpc1": + ccn_num_pedge = np.arange(0, 6200, 100) + a_num_pedge = np.arange(0, 6200, 100) + pvmax = 6000 + elif region == "enac1": + ccn_num_pedge = np.arange(0, 1020, 20) + a_num_pedge = np.arange(0, 1020, 20) + pvmax = 1000 + else: + msg = "Aerosol activation at Site: {} is not supported yet".format(region) + raise RuntimeError(msg) + + a_num = np.array(a_num) + ccn_num = np.array(ccn_num) + + ratio_all = ccn_num / a_num + ratio_mean = np.nanmean(ratio_all) + ratio_std = np.nanstd(ratio_all) + + output_str = "test" + if test is False: + output_str = "ref" + + if parameter.ref_name == "armdiags" and test is False: + data_name = "OBS" + else: + data_name = "Test Model" + + fig = plt.figure(figsize=(12, 10)) + + fsize = 30 + xysize = 30 + gspec = GridSpec(ncols=1, nrows=1, figure=fig) + ax1 = fig.add_subplot(gspec[0]) + ax1.set_title( + f"{region.upper()} Bulk Aerosol Activation ({data_name})", fontsize=fsize + ) + h2d02, xeg02, yeg02, im02 = plt.hist2d( + a_num, ccn_num, bins=[a_num_pedge, ccn_num_pedge], cmap="turbo", density=True + ) + ax1.plot([0, pvmax], [0, pvmax], "r", lw=3) + ax1.text( + 0.02, + 0.9, + "Ratio = " + "%.2f" % ratio_mean + r"$\pm$" + "%.2f" % ratio_std, + color="r", + ha="left", + va="center", + transform=ax1.transAxes, + fontsize=xysize, + ) + ax1.set_xlabel("Aerosol Num. Conc. (# $cm^{-3}$)", fontsize=xysize) + ax1.set_ylabel( + f"CCN Num. Conc. @0.{variable[-1]}%SS (# $cm^{-3}$)", fontsize=xysize + ) + ax1.tick_params( + labelsize=xysize, length=10, width=2, direction="out", which="major" + ) + ax1.tick_params(length=7, width=3, direction="out", which="minor") + cb1 = plt.colorbar() + cb1.ax.tick_params(labelsize=13) + cb1.set_label("Probability Density", fontsize=15) + for axis in ["top", "bottom", "left", "right"]: + ax1.spines[axis].set_linewidth(2) + plt.subplots_adjust(left=0.16, right=1.01, bottom=0.11, top=0.94, hspace=0.15) + + output_file_name = f"{parameter.output_file}-{output_str}" + _save_plots( + parameter, + output_file_name, + parameter.output_format, + transparent=True, + bbox_inches="tight", + ) + + plt.close() + + +def _save_plots( + parameter: ARMDiagsParameter, + output_file_name: str, + output_format: List[str], + transparent: bool = False, + bbox_inches: str | None = None, +): + """ + Save the generated plots in the specified output formats. + + Parameters + ---------- + parameter : ARMDiagsParameter + The ARMDiagsParameter object containing the parameters for the plot. + output_file_name : str + The name of the output file. + output_format : List[str] + The list of output formats to save the plots in. + transparent : bool, optional + Whether the plot should be transparent, by default False. + bbox_inches : str, optional + The bounding box in inches, by default None. + """ + for f in output_format: + f = f.lower().split(".")[-1] + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), output_file_name + "." + f + ) + plt.savefig(fnm, transparent=transparent, bbox_inches=bbox_inches) + + fnm = os.path.join( + get_output_dir(parameter.current_set, parameter), + output_file_name + "." + f, + ) + logger.info(f"Plot saved in: {fnm}") diff --git a/e3sm_diags/viewer/arm_diags_viewer.py b/e3sm_diags/viewer/arm_diags_viewer.py index 1a1ed82c2..43f172155 100644 --- a/e3sm_diags/viewer/arm_diags_viewer.py +++ b/e3sm_diags/viewer/arm_diags_viewer.py @@ -130,22 +130,6 @@ def create_viewer(root_dir, parameters): viewer.add_col(image_relative_path, is_file=True, title="Test") image_relative_path = os.path.join(relative_path, output_file2) viewer.add_col(image_relative_path, is_file=True, title="Reference") - if diags_set == "annual_cycle_aerosol": - viewer.add_group("Aerosol Annual Cycle") - for param in valid_parameters: - ext = param.output_format[0] - viewer.add_row( - "{} at {} ({})".format( - param.variables[0], - region_name[param.regions[0]], - param.regions[0], - ) - ) - viewer.add_col("Annual cycles of " + param.var_name) - image_relative_path = os.path.join( - relative_path, "{}.{}".format(param.output_file, ext) - ) - viewer.add_col(image_relative_path, is_file=True, title="Plot") url = viewer.generate_page() add_header(root_dir, os.path.join(root_dir, url), parameters) h1_to_h3(os.path.join(root_dir, url)) diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 33e3c9860..5f7ca20ce 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -22,6 +22,7 @@ dims="lat", data=np.array([-90.0, 90]), attrs={ + "units": "degrees_north", "axis": "Y", "long_name": "latitude", "standard_name": "latitude", @@ -32,6 +33,7 @@ dims="lon", data=np.array([0.0, 180]), attrs={ + "units": "degrees_east", "axis": "X", "long_name": "longitude", "standard_name": "longitude", @@ -782,10 +784,8 @@ def test_returns_climo_dataset_using_climo_of_time_series_files(self): name="ts", data=np.array([[1.0, 1.0], [1.0, 1.0]]), dims=["lat", "lon"] ) # Set all of the correct attributes. - expected = expected.assign(**spatial_coords, **spatial_bounds) # type: ignore - expected["lat"].attrs["units"] = "degrees_north" - expected["lat_bnds"].attrs["xcdat_bounds"] = "True" - expected["lon_bnds"].attrs["xcdat_bounds"] = "True" + expected = expected.assign(**spatial_coords) # type: ignore + expected = expected.drop_dims("time") xr.testing.assert_identical(result, expected) @@ -1045,6 +1045,7 @@ def test_returns_time_series_dataset_using_sub_monthly_sets(self): result = ds.get_time_series_dataset("ts") expected = self.ds_ts.copy() + expected = expected.isel(time=slice(0, 3)) xr.testing.assert_identical(result, expected) @@ -1152,6 +1153,7 @@ def test_returns_time_series_dataset_without_centered_time_if_single_point_data( result = ds.get_time_series_dataset("ts", single_point=True) expected = self.ds_ts.copy() + expected = expected.isel(time=slice(0, 3)) xr.testing.assert_identical(result, expected) From d6ee1734ad4569e6b4b5209975ac58a271a2a072 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 7 Oct 2024 11:27:53 -0700 Subject: [PATCH 29/41] Add performance benchmark material (#864) --- .../dev-branch-log.txt | 1 + .../main-branch-log.txt | 1 + .../run-script-model-vs-obs/run_script.py | 310 +++++++++++++++++ .../run_script_main.py | 312 ++++++++++++++++++ 4 files changed, 624 insertions(+) create mode 100644 auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/dev-branch-log.txt create mode 100644 auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/main-branch-log.txt create mode 100644 auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script_main.py diff --git a/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/dev-branch-log.txt b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/dev-branch-log.txt new file mode 100644 index 000000000..d1f95fcaf --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/dev-branch-log.txt @@ -0,0 +1 @@ +[2024-10-07 10:17:47] Branch: unknown, Elapsed time: 1439.9234824799933 seconds diff --git a/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/main-branch-log.txt b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/main-branch-log.txt new file mode 100644 index 000000000..bde60a402 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/main-branch-log.txt @@ -0,0 +1 @@ +[2024-10-07 11:03:45] Branch: unknown, Elapsed time: 1645.2245248500258 seconds diff --git a/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script.py b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script.py new file mode 100644 index 000000000..239867ba4 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script.py @@ -0,0 +1,310 @@ +""" +Make sure to run the machine-specific commands below before +running this script: + +Compy: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh + +LCRC: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh + Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh + +NERSC perlmutter cpu: + salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh +""" +# flake8: noqa E501 + +import datetime +import os +from typing import Tuple, TypedDict + +from mache import MachineInfo + +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner +import timeit + + +class MachinePaths(TypedDict): + html_path: str + obs_climo: str + test_climo: str + obs_ts: str + test_ts: str + dc_obs_climo: str + dc_test_climo: str + arm_obs: str + arm_test: str + tc_obs: str + tc_test: str + + +def run_all_sets(): + machine_paths: MachinePaths = _get_machine_paths() + + param = CoreParameter() + + param.reference_data_path = machine_paths["obs_climo"] + param.test_data_path = machine_paths["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + param.results_dir = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-perf-benchmark" + param.multiprocessing = True + param.num_workers = 24 + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = machine_paths["obs_ts"] + enso_param.test_data_path = machine_paths["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + + qbo_param = QboParameter() + qbo_param.reference_data_path = machine_paths["obs_ts"] + qbo_param.test_data_path = machine_paths["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = machine_paths["obs_ts"] + ts_param.test_data_path = machine_paths["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = machine_paths["dc_obs_climo"] + dc_param.test_data_path = machine_paths["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = machine_paths["obs_ts"] + streamflow_param.test_data_path = machine_paths["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = machine_paths["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = machine_paths["arm_test"] + arm_param.test_name = "e3sm_v2" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = machine_paths["tc_obs"] + tc_param.test_data_path = machine_paths["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, use all available years form obs by default. + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + + ac_param = ACzonalmeanParameter() + + zm_param = ZonalMean2dStratosphereParameter() + + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + + param.save_netcdf = True + runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "zonal_mean_2d_stratosphere", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "annual_cycle_zonal_mean", + "enso_diags", + "qbo", + "area_mean_time_series", + "diurnal_cycle", + "streamflow", + "arm_diags", + "tc_analysis", + "aerosol_aeronet", + "aerosol_budget", + "mp_partition", + ] + + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + mp_param, + ] + ) + + return param.results_dir + + +def _get_machine_paths() -> MachinePaths: + """Returns the paths on the machine that are required to run e3sm_diags. + + Returns + ------- + MachinePaths + A dictionary of paths on the machine, with the key being the path type + and the value being the absolute path string. + """ + # Get the current machine's configuration info. + machine_info = MachineInfo() + machine = machine_info.machine + + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: + raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") + + # Path to the HTML outputs for the current user. + web_portal_base_path = machine_info.config.get("web_portal", "base_path") + html_path = f"{web_portal_base_path}/{machine_info.username}/" + + # Path to the reference data directory. + diags_base_path = machine_info.diagnostics_base + ref_data_dir = f"{diags_base_path}/observations/Atm" + + # Paths to the test data directories. + test_data_dir, test_data_dir2 = _get_test_data_dirs(machine) + + # Construct the paths required by e3sm_diags using the base paths above. + machine_paths: MachinePaths = { + "html_path": html_path, + "obs_climo": f"{ref_data_dir}/climatology", + "test_climo": f"{test_data_dir}/climatology/rgr/", + "obs_ts": f"{ref_data_dir}/time-series/", + "test_ts": f"{test_data_dir}/time-series/rgr/", + "dc_obs_climo": f"{ref_data_dir}/climatology", + "dc_test_climo": f"{test_data_dir}/diurnal_climatology/rgr", + "arm_obs": f"{ref_data_dir}/arm-diags-data/", + "arm_test": f"{test_data_dir2}/arm-diags-data/", + "tc_obs": f"{ref_data_dir}/tc-analysis/", + "tc_test": f"{test_data_dir}/tc-analysis/", + } + + return machine_paths + + +def _get_test_data_dirs(machine: str) -> Tuple[str, str]: + """Get the directories for test data based on the machine. + + The second path is for using the high frequency grid box output at ARM sites + from another simulation when the output is available. + + Parameters + ---------- + machine : str + The name of the machine. + + Returns + ------- + Tuple[str, str] + A tuple of two strings, each representing a test data directory path. + """ + test_data_dirs = None + + # TODO: Update this function to use `mache` after the directories are updated. + if machine in ["chrysalis", "anvil"]: + base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["compy"]: + base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: + base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" + + test_data_dirs = ( + f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", + ) + + return test_data_dirs # type: ignore + + +if __name__ == "__main__": + + def log_elapsed_time(): + start_time = timeit.default_timer() + run_all_sets() + end_time = timeit.default_timer() + elapsed_time = end_time - start_time + + # Get the current timestamp + timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") + + # Get the current branch name + branch_name = os.environ.get("BRANCH_NAME", "unknown") + + # Create the log message + log_message = ( + f"[{timestamp}] Branch: {branch_name}, Elapsed time: {elapsed_time} seconds" + ) + + # Write the log message to a log file + with open("log.txt", "a") as log_file: + log_file.write(log_message + "\n") + + print(log_message) + + log_elapsed_time() diff --git a/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script_main.py b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script_main.py new file mode 100644 index 000000000..55b0568f8 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/855-perf-benchmark/run-script-model-vs-obs/run_script_main.py @@ -0,0 +1,312 @@ +""" +Make sure to run the machine-specific commands below before +running this script: + +Compy: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh + +LCRC: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh + Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh + +NERSC perlmutter cpu: + salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh +""" +# flake8: noqa E501 + +import datetime +import os +from typing import Tuple, TypedDict + +from mache import MachineInfo + +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner +import timeit + + +class MachinePaths(TypedDict): + html_path: str + obs_climo: str + test_climo: str + obs_ts: str + test_ts: str + dc_obs_climo: str + dc_test_climo: str + arm_obs: str + arm_test: str + tc_obs: str + tc_test: str + + +def run_all_sets(): + machine_paths: MachinePaths = _get_machine_paths() + + param = CoreParameter() + + param.reference_data_path = machine_paths["obs_climo"] + param.test_data_path = machine_paths["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + param.results_dir = ( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-main-perf-benchmark" + ) + param.multiprocessing = True + param.num_workers = 24 + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = machine_paths["obs_ts"] + enso_param.test_data_path = machine_paths["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + + qbo_param = QboParameter() + qbo_param.reference_data_path = machine_paths["obs_ts"] + qbo_param.test_data_path = machine_paths["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = machine_paths["obs_ts"] + ts_param.test_data_path = machine_paths["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = machine_paths["dc_obs_climo"] + dc_param.test_data_path = machine_paths["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = machine_paths["obs_ts"] + streamflow_param.test_data_path = machine_paths["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = machine_paths["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = machine_paths["arm_test"] + arm_param.test_name = "e3sm_v2" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = machine_paths["tc_obs"] + tc_param.test_data_path = machine_paths["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, use all available years form obs by default. + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + + ac_param = ACzonalmeanParameter() + + zm_param = ZonalMean2dStratosphereParameter() + + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + + param.save_netcdf = True + runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "zonal_mean_2d_stratosphere", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "annual_cycle_zonal_mean", + "enso_diags", + "qbo", + "area_mean_time_series", + "diurnal_cycle", + "streamflow", + "arm_diags", + "tc_analysis", + "aerosol_aeronet", + "aerosol_budget", + "mp_partition", + ] + + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + mp_param, + ] + ) + + return param.results_dir + + +def _get_machine_paths() -> MachinePaths: + """Returns the paths on the machine that are required to run e3sm_diags. + + Returns + ------- + MachinePaths + A dictionary of paths on the machine, with the key being the path type + and the value being the absolute path string. + """ + # Get the current machine's configuration info. + machine_info = MachineInfo() + machine = machine_info.machine + + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: + raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") + + # Path to the HTML outputs for the current user. + web_portal_base_path = machine_info.config.get("web_portal", "base_path") + html_path = f"{web_portal_base_path}/{machine_info.username}/" + + # Path to the reference data directory. + diags_base_path = machine_info.diagnostics_base + ref_data_dir = f"{diags_base_path}/observations/Atm" + + # Paths to the test data directories. + test_data_dir, test_data_dir2 = _get_test_data_dirs(machine) + + # Construct the paths required by e3sm_diags using the base paths above. + machine_paths: MachinePaths = { + "html_path": html_path, + "obs_climo": f"{ref_data_dir}/climatology", + "test_climo": f"{test_data_dir}/climatology/rgr/", + "obs_ts": f"{ref_data_dir}/time-series/", + "test_ts": f"{test_data_dir}/time-series/rgr/", + "dc_obs_climo": f"{ref_data_dir}/climatology", + "dc_test_climo": f"{test_data_dir}/diurnal_climatology/rgr", + "arm_obs": f"{ref_data_dir}/arm-diags-data/", + "arm_test": f"{test_data_dir2}/arm-diags-data/", + "tc_obs": f"{ref_data_dir}/tc-analysis/", + "tc_test": f"{test_data_dir}/tc-analysis/", + } + + return machine_paths + + +def _get_test_data_dirs(machine: str) -> Tuple[str, str]: + """Get the directories for test data based on the machine. + + The second path is for using the high frequency grid box output at ARM sites + from another simulation when the output is available. + + Parameters + ---------- + machine : str + The name of the machine. + + Returns + ------- + Tuple[str, str] + A tuple of two strings, each representing a test data directory path. + """ + test_data_dirs = None + + # TODO: Update this function to use `mache` after the directories are updated. + if machine in ["chrysalis", "anvil"]: + base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["compy"]: + base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: + base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" + + test_data_dirs = ( + f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", + ) + + return test_data_dirs # type: ignore + + +if __name__ == "__main__": + + def log_elapsed_time(): + start_time = timeit.default_timer() + run_all_sets() + end_time = timeit.default_timer() + elapsed_time = end_time - start_time + + # Get the current timestamp + timestamp = datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S") + + # Get the current branch name + branch_name = os.environ.get("BRANCH_NAME", "unknown") + + # Create the log message + log_message = ( + f"[{timestamp}] Branch: {branch_name}, Elapsed time: {elapsed_time} seconds" + ) + + # Write the log message to a log file + with open("log.txt", "a") as log_file: + log_file.write(log_message + "\n") + + print(log_message) + + log_elapsed_time() From d9feeb4f08767b850d48ff7a7362e7b9be6c5d71 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Wed, 9 Oct 2024 09:49:13 -0700 Subject: [PATCH 30/41] Add function to add CF axis attr to Z axis if missing for downstream xCDAT operations (#865) --- e3sm_diags/driver/utils/dataset_xr.py | 36 ++++++++++++++++++++++++++- 1 file changed, 35 insertions(+), 1 deletion(-) diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index d94c8df96..32a4b6f63 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -393,6 +393,11 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: filepath = self._get_climo_filepath(season) ds = self._open_climo_dataset(filepath) + # Add CF attributes to Z axes if they are missing. + # NOTE: This is a temporary workaround for xCDAT. + # Refer to https://github.com/xCDAT/xcdat/pull/708 + ds = self._add_cf_attrs_to_z_axes(ds) + if self.var in self.derived_vars_map: ds = self._get_dataset_with_derived_climo_var(ds) elif self.var in ds.data_vars.keys(): @@ -408,6 +413,35 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: return ds + def _add_cf_attrs_to_z_axes(self, ds: xr.Dataset) -> xr.Dataset: + """Add CF attributes to the Z axis of the dataset if the Z axis exists. + + This method is a temporary solution to enable xCDAT to properly + retrieve bounds for Z axes that do not have CF attributes, which + is required for downstream regridding operations. + + Parameters + ---------- + ds : xr.Dataset + The dataset. + + Returns + ------- + xr.Dataset + The dataset with CF attributes added to the Z axes. + """ + try: + dim = xc.get_dim_keys(ds, axis="Z") + except KeyError: + pass + else: + axis_attr = ds[dim].attrs.get("axis") + + if axis_attr is None: + ds[dim].attrs["axis"] = "Z" + + return ds + def _open_climo_dataset(self, filepath: str) -> xr.Dataset: """Open a climatology dataset. @@ -449,7 +483,7 @@ def _open_climo_dataset(self, filepath: str) -> xr.Dataset: args = { "paths": filepath, "decode_times": True, - "add_bounds": ["X", "Y"], + "add_bounds": ["X", "Y", "Z"], "coords": "minimal", "compat": "override", } From ff0540789b4b48a28d2e2b88f00bf1087aa3a347 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Fri, 25 Oct 2024 12:46:58 -0700 Subject: [PATCH 31/41] CDAT Migration Phase 3: Add Convective Precipitation Fraction in lat-lon (#875) --- e3sm_diags/derivations/derivations.py | 12 +++++++++++- e3sm_diags/derivations/formulas.py | 11 +++++++++++ 2 files changed, 22 insertions(+), 1 deletion(-) diff --git a/e3sm_diags/derivations/derivations.py b/e3sm_diags/derivations/derivations.py index 32b427d56..14eef3104 100644 --- a/e3sm_diags/derivations/derivations.py +++ b/e3sm_diags/derivations/derivations.py @@ -55,6 +55,7 @@ pminuse_convert_units, precst, prect, + prect_frac, qflx_convert_to_lhflx, qflx_convert_to_lhflx_approxi, qflxconvert_units, @@ -117,6 +118,16 @@ rename(prw), target_units="kg/m2" ), # EAMxx }, + "PRECC": { + ("PRECC",): lambda pr: convert_units(pr, target_units="mm/day"), + ("prc",): rename, + }, + "PRECL": { + ("PRECL",): lambda pr: convert_units(rename(pr), target_units="mm/day"), + }, + "PRECC_Frac": { + ("PRECC", "PRECL"): lambda precc, precl: prect_frac(precc, precl), + }, # Sea Surface Temperature: Degrees C # Temperature of the water, not the air. Ignore land. "SST": OrderedDict( @@ -734,7 +745,6 @@ ("huss",): lambda q: convert_units(q, target_units="g/kg"), ("d2m", "sp"): qsat, }, - "PRECC": {("prc",): rename}, "TAUX": { ("tauu",): lambda tauu: -tauu, ("surf_mom_flux_U",): lambda tauu: -tauu, # EAMxx diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index 57d6e1305..e1621f965 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -235,6 +235,17 @@ def prect(precc: xr.DataArray, precl: xr.DataArray): return var +def prect_frac(precc: xr.DataArray, precl: xr.DataArray): + """convective precipitation fraction = convective /(convective + large-scale)""" + with xr.set_options(keep_attrs=True): + var = precc / (precc + precl) * 100.0 + + var.attrs["units"] = "%" + var.attrs["long_name"] = "convective precipitation fraction" + + return var + + def precst(precc: xr.DataArray, precl: xr.DataArray): """Total precipitation flux = convective + large-scale""" with xr.set_options(keep_attrs=True): From c1d529daa0de1a9762967783b49c0b6104f60010 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Fri, 25 Oct 2024 13:00:08 -0700 Subject: [PATCH 32/41] CDAT Migration Phase 3: Fix LHFLX name and add catch for non-existent or empty TE stitch file (#876) --- e3sm_diags/derivations/formulas.py | 3 +++ e3sm_diags/driver/tc_analysis_driver.py | 3 +++ 2 files changed, 6 insertions(+) diff --git a/e3sm_diags/derivations/formulas.py b/e3sm_diags/derivations/formulas.py index e1621f965..78db38f99 100644 --- a/e3sm_diags/derivations/formulas.py +++ b/e3sm_diags/derivations/formulas.py @@ -175,6 +175,9 @@ def qflx_convert_to_lhflx_approxi(var: xr.DataArray): new_var = var * 2.5e6 new_var.name = "LHFLX" + new_var.attrs["units"] = "W/m2" + new_var.attrs["long_name"] = "Surface latent heat flux" + return new_var diff --git a/e3sm_diags/driver/tc_analysis_driver.py b/e3sm_diags/driver/tc_analysis_driver.py index d696796fd..5658db7d3 100644 --- a/e3sm_diags/driver/tc_analysis_driver.py +++ b/e3sm_diags/driver/tc_analysis_driver.py @@ -195,6 +195,9 @@ def generate_tc_metrics_from_te_stitch_file(te_stitch_file: str) -> Dict[str, An end_ind = line_ind[-1] lines = lines_orig[0:end_ind] + if not lines: + raise ValueError(f"The file {te_stitch_file} is empty.") + # Calculate number of storms and max length num_storms, max_len = _calc_num_storms_and_max_len(lines) # Parse variables from TE stitch file From e268e4d55418c750d88f09e1ebd0a344432539d0 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 28 Oct 2024 14:23:05 -0700 Subject: [PATCH 33/41] Add support for time series datasets via glob and fix `enso_diags` set (#866) --- ...st_non_submonthly.py => non_submonthly.py} | 0 .../all-ts-datasets/nc.ipynb | 7408 +++++++++++++++++ .../all-ts-datasets/png.ipynb | 2846 +++++++ .../all-ts-datasets/run_script.py | 286 + .../specific_sets/diurnal_cycle_nc.ipynb | 810 ++ .../specific_sets/diurnal_cycle_png.ipynb | 364 + .../specific_sets/enso_diags_nc.ipynb | 1576 ++++ .../specific_sets/enso_diags_png.ipynb | 322 + .../specific_sets/qbo_nc.ipynb | 1702 ++++ .../specific_sets/qbo_png.ipynb | 225 + .../861-time-series-multiple/run_script.py | 103 + .../template_cdat_regression_test_png.ipynb | 264 + e3sm_diags/driver/enso_diags_driver.py | 2 +- e3sm_diags/driver/utils/dataset_xr.py | 486 +- .../driver/utils/test_dataset_xr.py | 358 +- 15 files changed, 16400 insertions(+), 352 deletions(-) rename auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/{test_non_submonthly.py => non_submonthly.py} (100%) create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/nc.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_nc.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_nc.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_nc.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/run_script.py create mode 100644 auxiliary_tools/cdat_regression_testing/861-time-series-multiple/template_cdat_regression_test_png.ipynb diff --git a/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/test_non_submonthly.py b/auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/non_submonthly.py similarity index 100% rename from auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/test_non_submonthly.py rename to auxiliary_tools/cdat_regression_testing/662-area-mean-time-series/non_submonthly.py diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/nc.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/nc.ipynb new file mode 100644 index 000000000..d5f66e812 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/nc.ipynb @@ -0,0 +1,7408 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "DEV_DIR = \"861-time-series-multiple\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{DEV_DIR}/\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "\n", + "MAIN_DIR = \"main\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)\n", + "\n", + "\n", + "def _remove_unwanted_files(file_glob: List[str]) -> List[str]:\n", + " \"\"\"Remove files that we don't want to compare.\n", + "\n", + " * area_mean_time_series -- `main` does not generate netCDF\n", + " * enso_diags -- `main` does not generate netCDF\n", + " * qbo -- variable name differs\n", + " * diurnal_cycle -- variable name differs\n", + " * diff -- comparing the difference between regridded files is not helpful\n", + " between branches because of the influence in floating point errors.\n", + " * ERA5_ext-U10-ANN-global_ref and ERA5_ext-U10-JJA-global_ref -- dev\n", + " branch does not generate these files because it is a model-only run.\n", + "\n", + " Parameters\n", + " ----------\n", + " file_glob : List[str]\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " List[str]\n", + " _description_\n", + " \"\"\"\n", + "\n", + " new_glob = []\n", + "\n", + " for fp in file_glob:\n", + " if (\n", + " \"area_mean_time_series\" in fp\n", + " or \"enso_diags\" in fp\n", + " or \"qbo\" in fp\n", + " or \"diurnal_cycle\" in fp\n", + " or \"diff\" in fp\n", + " or \"ERA5_ext-U10-ANN-global_ref\" in fp\n", + " or \"ERA5_ext-U10-JJA-global_ref\" in fp\n", + " ):\n", + " continue\n", + "\n", + " new_glob.append(fp)\n", + "\n", + " return new_glob\n", + "\n", + "\n", + "DEV_GLOB = _remove_unwanted_files(DEV_GLOB)\n", + "MAIN_GLOB = _remove_unwanted_files(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-4\n", + "\n", + " results = {\n", + " \"missing_files\": [],\n", + " \"missing_vars\": [],\n", + " \"matching_files\": [],\n", + " \"mismatch_errors\": [],\n", + " \"not_equal_errors\": [],\n", + " \"key_errors\": [],\n", + " }\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_DIR, DEV_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " if \"annual_cycle_zonal_mean\" in fp_main:\n", + " if \"test.nc\" in fp_main:\n", + " fp_dev = fp_dev.replace(\"test.nc\", \"ref.nc\")\n", + " elif \"ref.nc\" in fp_main:\n", + " fp_dev = fp_dev.replace(\"ref.nc\", \"test.nc\")\n", + "\n", + " try:\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + " except FileNotFoundError as e:\n", + " print(f\" {e}\")\n", + "\n", + " if isinstance(e, FileNotFoundError) or isinstance(e, OSError):\n", + " results[\"missing_files\"].append(fp_dev)\n", + "\n", + " continue\n", + "\n", + " var_key = fp_main.split(\"-\")[-3]\n", + "\n", + " # for 3d vars such as T-200\n", + " var_key.isdigit()\n", + " if var_key.isdigit():\n", + " var_key = fp_main.split(\"-\")[-4]\n", + "\n", + " dev_data = _get_var_data(ds1, var_key)\n", + " main_data = _get_var_data(ds2, var_key)\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " if dev_data is None or main_data is None:\n", + " if dev_data is None:\n", + " results[\"missing_vars\"].append(fp_dev)\n", + " elif main_data is None:\n", + " results[\"missing_vars\"].append(fp_main)\n", + "\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + "\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " results[\"matching_files\"].append(fp_main)\n", + " except (KeyError, AssertionError) as e:\n", + " msg = str(e)\n", + "\n", + " print(f\" {msg}\")\n", + "\n", + " if \"mismatch\" in msg:\n", + " results[\"mismatch_errors\"].append(fp_dev)\n", + " elif \"Not equal to tolerance\" in msg:\n", + " results[\"not_equal_errors\"].append(fp_dev)\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + " return results\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " try:\n", + " data = ds[var_key].values\n", + " except KeyError:\n", + " try:\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " except KeyError:\n", + " var_keys = DERIVED_VARIABLES[var_key.upper()].keys()\n", + "\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_dev_files = []\n", + " missing_main_files = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_DIR, DEV_DIR)\n", + "\n", + " if fp_dev not in DEV_GLOB:\n", + " missing_dev_files.append(fp_dev)\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(DEV_DIR, MAIN_DIR)\n", + "\n", + " if fp_main not in MAIN_GLOB:\n", + " missing_main_files.append(fp_main)\n", + "\n", + " return missing_dev_files, missing_main_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "DEV_GLOB = [fp for fp in DEV_GLOB if \"diff.nc\" not in fp]\n", + "MAIN_GLOB = [fp for fp in MAIN_GLOB if \"diff.nc\" not in fp]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(1250, 1248)" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(DEV_GLOB), len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Missing dev files: 2\n", + "Missing main files: 4\n" + ] + } + ], + "source": [ + "missing_dev_files, missing_main_files = _check_if_missing_files()\n", + "\n", + "print(f\"Missing dev files: {len(missing_dev_files)}\")\n", + "print(f\"Missing main files: {len(missing_main_files)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Check missing main files (not concerned)\n", + "\n", + "Results:\n", + "\n", + "- The missing files are due to a recent .cfg update in [PR #830](https://github.com/E3SM-Project/e3sm_diags/pull/830)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MACv2/MACv2-AODVIS-ANNUALCYCLE-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MACv2/MACv2-AODVIS-ANNUALCYCLE-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2_Aerosols/MERRA2_Aerosols-AODVIS-ANNUALCYCLE-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2_Aerosols/MERRA2_Aerosols-AODVIS-ANNUALCYCLE-global_test.nc']" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_main_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Check missing dev files:\n", + "\n", + "Results:\n", + "\n", + "- The missing reference files are due to not saving them out to netCDF since they are the same as the test files (skipped, model-only run)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc']" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_dev_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc\n", + " [Errno 2] No such file or directory: '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc'\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc\n", + " [Errno 2] No such file or directory: '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc'\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global_test.nc\n", + " * var_key: ALBEDO\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[0.69877 , 0.695266, 0.68627 , ..., inf, inf, inf],\n", + " [0.712032, 0.706896, 0.69354 , ..., inf, inf, inf],\n", + " [0.765447, 0.743142, 0.738787, ..., 0.752918, 0.751204, 0.833122],...\n", + " y: array([[0.69877 , 0.695266, 0.68627 , ..., nan, nan, nan],\n", + " [0.712033, 0.706896, 0.69354 , ..., nan, nan, nan],\n", + " [0.765447, 0.743142, 0.738787, ..., 0.752918, 0.751204, 0.833123],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global_test.nc\n", + " * var_key: SCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_ref.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global_test.nc\n", + " * var_key: COSP_HISTOGRAM_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-ANN-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODDUST-JJA-global_test.nc\n", + " * var_key: AODDUST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MACv2-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-ANN-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_ref.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/AOD_550/MERRA2_Aerosols-AODVIS-JJA-global_test.nc\n", + " * var_key: AODVIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_ref.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global_test.nc\n", + " * var_key: NETCF_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 39151 / 64800 (60.4%)\n", + "Max absolute difference: 22.411116\n", + "Max relative difference: 0.6832267\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 8 / 64800 (0.0123%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.01244658\n", + " x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + " y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 32818 / 64800 (50.6%)\n", + "Max absolute difference: 45.429226\n", + "Max relative difference: 0.9708206\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 39226 / 64800 (60.5%)\n", + "Max absolute difference: 37.673122\n", + "Max relative difference: 0.62295455\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00541773\n", + " x: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + " y: array([[5.677656e-02, 5.677656e-02, 5.677656e-02, ..., 1.274017e+00,\n", + " 1.274017e+00, 1.274017e+00],\n", + " [2.078919e-01, 2.077735e-01, 2.075364e-01, ..., 1.675944e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 34116 / 64800 (52.6%)\n", + "Max absolute difference: 67.89603\n", + "Max relative difference: 0.9691263\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 38772 / 64800 (59.8%)\n", + "Max absolute difference: 31.085188\n", + "Max relative difference: 0.96666664\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 32169 / 64800 (49.6%)\n", + "Max absolute difference: 63.126827\n", + "Max relative difference: 1.\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00456364\n", + " x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n", + " 7.77411 ],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n", + " y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n", + " 7.774109],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.09701157\n", + "Max relative difference: 0.00250626\n", + " x: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843707, 7.843707,\n", + " 7.843707],\n", + " [ 4.183939, 4.1839 , 4.183824, ..., 7.598535, 7.598149,...\n", + " y: array([[ 4.134768, 4.134768, 4.134768, ..., 7.843706, 7.843706,\n", + " 7.843706],\n", + " [ 4.183939, 4.1839 , 4.183823, ..., 7.598534, 7.598149,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-45.434464, -45.434464, -45.434464, ..., -45.434464, -45.434464,\n", + " -45.434464],\n", + " [-45.000122, -44.998978, -44.99788 , ..., -45.001938, -45.001343,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, nan, nan, ..., nan, nan,...\n", + " y: array([[-53.867355, -53.867355, -53.867355, ..., -53.867355, -53.867355,\n", + " -53.867355],\n", + " [-53.28177 , -53.27997 , -53.27826 , ..., -53.284897, -53.28383 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_ref.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global_test.nc\n", + " * var_key: QREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global_test.nc\n", + " * var_key: U10\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_ref.nc\n", + " * var_key: TAUXY\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + " y: array([[nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],\n", + " [nan, nan, nan, ..., nan, nan, nan],...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + " y: array([[-49.840927, -49.840927, -49.840927, ..., -49.840927, -49.840927,\n", + " -49.840927],\n", + " [-49.387894, -49.372787, -49.357605, ..., -49.43271 , -49.417847,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_ref.nc\n", + " * var_key: TREFHT\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([[ nan, nan, nan, ..., nan, nan,\n", + " nan],\n", + " [ nan, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + " y: array([[-60.34648 , -60.34648 , -60.34648 , ..., -60.34648 , -60.34648 ,\n", + " -60.34648 ],\n", + " [-59.765793, -59.740402, -59.71486 , ..., -59.841125, -59.816147,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_ref.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global_test.nc\n", + " * var_key: TREF_range\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_ref.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global_test.nc\n", + " * var_key: TCO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_ref.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 1 / 6120 (0.0163%)\n", + "Max absolute difference: 3.39774408e-07\n", + "Max relative difference: 0.00015039\n", + " x: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + " y: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 1 / 6120 (0.0163%)\n", + "Max absolute difference: 3.39774408e-07\n", + "Max relative difference: 0.00015039\n", + " x: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + " y: array([[ 1.150119, 1.168407, 1.16202 , ..., 1.153911, 1.138019,\n", + " 1.152851],\n", + " [ 1.567948, 1.599667, 1.601973, ..., 1.42647 , 1.435826,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-LHFLX-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-PSL-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-T-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TAUXY-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TMQ-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-TREFHT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-U-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/ERA5/ERA5-Z3-500-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S_ref.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-PSL-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S_test.nc\n", + " * var_key: PSL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-T-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_ref.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S_test.nc\n", + " * var_key: TAUXY\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-200-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-U-850-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_ref.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global_test.nc\n", + " * var_key: OMEGA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_ref.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global_test.nc\n", + " * var_key: Q\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_ref.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global_test.nc\n", + " * var_key: RELHUM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.0069872e-07\n", + "Max relative difference: 1.48305291\n", + " x: array([[-8.003553e-08, 8.746594e-01, 1.610782e+00, ..., 9.277452e-01,\n", + " 4.884759e-01, 6.868504e-08],\n", + " [ 2.653300e-08, 8.899245e-01, 1.641026e+00, ..., 9.164927e-01,...\n", + " y: array([[-8.003553e-08, 8.746594e-01, 1.610782e+00, ..., 9.277452e-01,\n", + " 4.884759e-01, 6.868504e-08],\n", + " [ 3.507194e-08, 8.899245e-01, 1.641026e+00, ..., 9.164927e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 15 / 3610 (0.416%)\n", + "Max absolute difference: 1.27445411e-07\n", + "Max relative difference: 4.23812583\n", + " x: array([[-3.806716e-07, -6.959164e-01, -1.271045e+00, ..., 2.137929e+00,\n", + " 1.128679e+00, -2.220170e-07],\n", + " [-1.990935e-07, -4.508903e-01, -8.158624e-01, ..., 2.182571e+00,...\n", + " y: array([[-3.806716e-07, -6.959164e-01, -1.271045e+00, ..., 2.137929e+00,\n", + " 1.128679e+00, -2.220170e-07],\n", + " [-1.990864e-07, -4.508903e-01, -8.158624e-01, ..., 2.182571e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 14 / 3610 (0.388%)\n", + "Max absolute difference: 2.09578261e-07\n", + "Max relative difference: 0.00898989\n", + " x: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595097e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + " y: array([[-9.994902e-07, 1.855954e+00, 3.415055e+00, ..., -1.025078e+00,\n", + " -5.548744e-01, -9.440600e-07],\n", + " [-9.595177e-07, 1.685548e+00, 3.103145e+00, ..., -8.308557e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.09033987e-07\n", + "Max relative difference: 0.60114253\n", + " x: array([[ 3.487318e-07, 1.428209e+00, 2.630427e+00, ..., 1.707806e-01,\n", + " 9.107631e-02, -9.528271e-08],\n", + " [ 6.441070e-09, 1.292262e+00, 2.379988e+00, ..., 1.910028e-01,...\n", + " y: array([[ 3.487318e-07, 1.428209e+00, 2.630427e+00, ..., 1.707806e-01,\n", + " 9.107631e-02, -9.528271e-08],\n", + " [ 4.022796e-09, 1.292262e+00, 2.379988e+00, ..., 1.910028e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 16 / 3610 (0.443%)\n", + "Max absolute difference: 1.12679693e-07\n", + "Max relative difference: 0.06101062\n", + " x: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.235800e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + " y: array([[ 6.962348e-07, 8.762654e-01, 1.605988e+00, ..., 2.470426e+00,\n", + " 1.311890e+00, 1.454603e-06],\n", + " [ 1.227703e-06, 1.004880e+00, 1.845646e+00, ..., 2.164340e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_ref.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_ref.nc\n", + " * var_key: ALBEDO\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "x and y nan location mismatch:\n", + " x: array([ inf, inf, inf, inf, inf, inf,\n", + " inf, inf, inf, 4.905806, 1.104448, 0.486332,\n", + " 1.070643, 0.9697 , 0.895325, 0.848754, 0.816032, 0.794203,...\n", + " y: array([ nan, nan, nan, nan,\n", + " nan, nan, nan, nan,\n", + " 2.497374e+06, 4.905807e+00, 1.104448e+00, 4.863323e-01,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global_test.nc\n", + " * var_key: ALBEDO\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_ref.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global_test.nc\n", + " * var_key: ALBEDOC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_ref.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global_test.nc\n", + " * var_key: FLUT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_ref.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global_test.nc\n", + " * var_key: FLUTC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_ref.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global_test.nc\n", + " * var_key: FSNTOA\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_ref.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global_test.nc\n", + " * var_key: FSNTOAC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_ref.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global_test.nc\n", + " * var_key: LWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_ref.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global_test.nc\n", + " * var_key: NETCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_ref.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global_test.nc\n", + " * var_key: RESTOM\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_ref.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global_test.nc\n", + " * var_key: SOLIN\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_ref.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global_test.nc\n", + " * var_key: SWCF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_ref.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global_test.nc\n", + " * var_key: ALBEDO_SRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_ref.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global_test.nc\n", + " * var_key: FLDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_ref.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global_test.nc\n", + " * var_key: FLDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_ref.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_ref.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global_test.nc\n", + " * var_key: FLNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_ref.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global_test.nc\n", + " * var_key: FSDS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_ref.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global_test.nc\n", + " * var_key: FSDSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_ref.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_ref.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global_test.nc\n", + " * var_key: FSNSC\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_ref.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global_test.nc\n", + " * var_key: LWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_ref.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global_test.nc\n", + " * var_key: SWCFSRF\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_ref.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global_test.nc\n", + " * var_key: CLDHGH_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_ref.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global_test.nc\n", + " * var_key: CLDLOW_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_ref.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global_test.nc\n", + " * var_key: CLDMED_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_ref.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global_test.nc\n", + " * var_key: CLDTOT_CAL\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_ISCCP\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 161 / 180 (89.4%)\n", + "Max absolute difference: 5.22607951\n", + "Max relative difference: 0.14372237\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 27.607403, 26.281943, 26.594026, 25.62963 , 24.946797, 25.409239,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 29.236507, 28.109412, 28.533893, 27.251634, 26.469386, 26.97218 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 147 / 180 (81.7%)\n", + "Max absolute difference: 3.96731239\n", + "Max relative difference: 0.13233952\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 161 / 180 (89.4%)\n", + "Max absolute difference: 9.42316729\n", + "Max relative difference: 0.20406107\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 50.525568, 52.10918 , 52.191102, 52.493405, 50.181182, 50.357442,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 53.769157, 55.229167, 55.455046, 55.463217, 53.257188, 53.239823,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 147 / 180 (81.7%)\n", + "Max absolute difference: 12.14821824\n", + "Max relative difference: 0.23597697\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 161 / 180 (89.4%)\n", + "Max absolute difference: 4.19708782\n", + "Max relative difference: 0.42758281\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 22.918165, 25.827236, 25.597075, 26.863775, 25.234384, 24.948203,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " 24.53265 , 27.119755, 26.921153, 28.211582, 26.787802, 26.267643,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " \n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 147 / 180 (81.7%)\n", + "Max absolute difference: 8.34271828\n", + "Max relative difference: 0.45474497\n", + " x: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + " y: array([ nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,\n", + " nan, nan, nan, nan, nan, nan,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDLOW_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MISR\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDHGH_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_ref.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global_test.nc\n", + " * var_key: CLDTOT_TAU9.4_MODIS\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_ref.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_ref.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global_test.nc\n", + " * var_key: PminusE\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_ref.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global_test.nc\n", + " * var_key: T\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_ref.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global_test.nc\n", + " * var_key: TMQ\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_ref.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global_test.nc\n", + " * var_key: TREFHT\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_ref.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global_test.nc\n", + " * var_key: TREFMNAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_ref.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global_test.nc\n", + " * var_key: TREFMXAV\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_ref.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_ref.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global_test.nc\n", + " * var_key: Z3\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_ref.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global_test.nc\n", + " * var_key: SST\n", + " * All close and within relative tolerance (0.0001)\n" + ] + } + ], + "source": [ + "results = _get_relative_diffs()" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd\n", + "\n", + "# Statistics\n", + "(\n", + " missing_files,\n", + " missing_vars,\n", + " matching_files,\n", + " mismatch_errors,\n", + " not_equal_errors,\n", + " key_errors,\n", + ") = results.values()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Missing Files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global_ref.nc']" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_files" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- AOD_550 files were retired (https://github.com/E3SM-Project/e3sm_diags/issues/852)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "missing_files = []" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### `NaN` Mismatching Errors\n", + "\n", + "I found these `nan` mismatch errors occur due to either:\n", + "\n", + "1. Regional subsetting on \"ccb\" flag in CDAT adding a coordinate points -- removing these coordinates results in matching results\n", + "2. Slightly different masking in the data between xCDAT and CDAT via xESMF/ESMF -- same number of nans just slightly shifted over some coordinates points\n", + "\n", + "- Refer to PR [#794](https://github.com/E3SM-Project/e3sm_diags/pull/794)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "mismatch_errors = [\n", + " f\n", + " for f in mismatch_errors\n", + " # https://github.com/E3SM-Project/e3sm_diags/pull/794\n", + " if \"TAUXY\" not in f and \"ERA5-TREFHT\" not in f and \"MERRA2-TREFHT\" not in f\n", + " # https://github.com/E3SM-Project/e3sm_diags/pull/798#issuecomment-2251287986\n", + " and \"ceres_ebaf_toa_v4.1-ALBEDO\" not in f\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mismatch_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Not Equal Errors\n", + "\n", + "- Note, some files are omitted due to known root causes to the diffs (not a concern)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [], + "source": [ + "not_equal_errors = [\n", + " f\n", + " for f in not_equal_errors\n", + " # https://github.com/E3SM-Project/e3sm_diags/issues/797\n", + " if \"MISRCOSP-CLDLOW_TAU1.3_9.4_MISR\" not in f\n", + " and \"MISRCOSP-CLDLOW_TAU1.3_MISR\" not in f\n", + " and \"MISRCOSP-CLDLOW_TAU9.4_MISR\" not in f\n", + " # only 1 mismatching element with 1e-4 tolerance\n", + " and \"ERA5-OMEGA-JJA\" not in f and \"MERRA2-OMEGA-JJA\" not in f\n", + " # https://github.com/E3SM-Project/e3sm_diags/issues/787\n", + " and \"MERRA2-U\" not in f\n", + " # https://github.com/E3SM-Project/e3sm_diags/issues/852\n", + " and \"AOD_550\" not in f\n", + "]" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc']" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "not_equal_errors" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note, the two files have less than 10 elements that mismatch.\n", + "This does not seem to be of a concern since the rtol is 0.04% and 1.2%.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\n", + " * var_key: CLDTOT_TAU1.3_9.4_MISR\n", + "\n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 7 / 64800 (0.0108%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.00456364\n", + " x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n", + " 7.77411 ],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n", + " y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n", + " 7.774109],\n", + " [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...\n", + "\n", + "Not equal to tolerance rtol=0.0001, atol=0\n", + "\n", + "Mismatched elements: 8 / 64800 (0.0123%)\n", + "Max absolute difference: 0.0970192\n", + "Max relative difference: 0.01244658\n", + " x: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + " y: array([[ 0.056777, 0.056777, 0.056777, ..., 1.274017, 1.274017,\n", + " 1.274017],\n", + " [ 0.207892, 0.207774, 0.207536, ..., 1.675944, 1.676576,...\n", + "```\n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [], + "source": [ + "ds1 = xr.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\"\n", + ")\n", + "ds2 = xr.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "ename": "AssertionError", + "evalue": "\nNot equal to tolerance rtol=0.0001, atol=0\n\nMismatched elements: 7 / 64800 (0.0108%)\nMax absolute difference: 0.0970192\nMax relative difference: 0.00456364\n x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n 7.77411 ],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n 7.774109],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,...", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[21], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtesting\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_allclose\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m 2\u001b[0m \u001b[43m \u001b[49m\u001b[43mds1\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCLDTOT_TAU1.3_9.4_MISR\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds2\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mCLDTOT_TAU1.3_9.4_MISR\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43matol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m0\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mrtol\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m1e-4\u001b[39;49m\n\u001b[1;32m 3\u001b[0m \u001b[43m)\u001b[49m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/contextlib.py:79\u001b[0m, in \u001b[0;36mContextDecorator.__call__..inner\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds):\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_recreate_cm():\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/site-packages/numpy/testing/_private/utils.py:797\u001b[0m, in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf, strict)\u001b[0m\n\u001b[1;32m 793\u001b[0m err_msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(remarks)\n\u001b[1;32m 794\u001b[0m msg \u001b[38;5;241m=\u001b[39m build_err_msg([ox, oy], err_msg,\n\u001b[1;32m 795\u001b[0m verbose\u001b[38;5;241m=\u001b[39mverbose, header\u001b[38;5;241m=\u001b[39mheader,\n\u001b[1;32m 796\u001b[0m names\u001b[38;5;241m=\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m), precision\u001b[38;5;241m=\u001b[39mprecision)\n\u001b[0;32m--> 797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAssertionError\u001b[39;00m(msg)\n\u001b[1;32m 798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 799\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtraceback\u001b[39;00m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nNot equal to tolerance rtol=0.0001, atol=0\n\nMismatched elements: 7 / 64800 (0.0108%)\nMax absolute difference: 0.0970192\nMax relative difference: 0.00456364\n x: array([[ 4.128816, 4.128816, 4.128816, ..., 7.77411 , 7.77411 ,\n 7.77411 ],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538158,...\n y: array([[ 4.128816, 4.128816, 4.128816, ..., 7.774109, 7.774109,\n 7.774109],\n [ 4.164101, 4.164073, 4.164018, ..., 7.538528, 7.538157,..." + ] + } + ], + "source": [ + "np.testing.assert_allclose(\n", + " ds1[\"CLDTOT_TAU1.3_9.4_MISR\"], ds2[\"CLDTOT_TAU1.3_9.4_MISR\"], atol=0, rtol=1e-4\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1579673.1" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds1[\"CLDTOT_TAU1.3_9.4_MISR\"].values.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1579672.9" + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds2[\"CLDTOT_TAU1.3_9.4_MISR\"].values.sum()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " stat_name value pct\n", + "0 matching_files_count 1213 0.998354\n", + "1 missing_vars_count 0 0.000000\n", + "2 mismatch_errors_count 0 0.000000\n", + "3 not_equal_errors_count 2 0.001646\n", + "4 key_errors_count 0 0.000000\n", + "5 missing_files_count 0 0.000000\n" + ] + } + ], + "source": [ + "# Assuming these variables are defined in your notebook\n", + "matching_files_count = len(matching_files)\n", + "missing_vars_count = len(missing_vars)\n", + "mismatch_errors_count = len(mismatch_errors)\n", + "not_equal_errors_count = len(not_equal_errors)\n", + "key_errors_count = len(key_errors)\n", + "missing_files_count = len(missing_files)\n", + "\n", + "sum_files_compared = (\n", + " matching_files_count\n", + " + missing_vars_count\n", + " + mismatch_errors_count\n", + " + not_equal_errors_count\n", + " + key_errors_count\n", + " + missing_files_count\n", + ")\n", + "\n", + "pct_match = (matching_files_count / sum_files_compared) * 100\n", + "\n", + "# Collect statistics into a dictionary\n", + "statistics = {\n", + " \"stat_name\": [\n", + " \"matching_files_count\",\n", + " \"missing_vars_count\",\n", + " \"mismatch_errors_count\",\n", + " \"not_equal_errors_count\",\n", + " \"key_errors_count\",\n", + " \"missing_files_count\",\n", + " ],\n", + " \"value\": [\n", + " matching_files_count,\n", + " missing_vars_count,\n", + " mismatch_errors_count,\n", + " not_equal_errors_count,\n", + " key_errors_count,\n", + " missing_files_count,\n", + " ],\n", + " \"pct\": [\n", + " matching_files_count / sum_files_compared,\n", + " missing_vars_count / sum_files_compared,\n", + " mismatch_errors_count / sum_files_compared,\n", + " not_equal_errors_count / sum_files_compared,\n", + " key_errors_count / sum_files_compared,\n", + " missing_files_count / sum_files_compared,\n", + " ],\n", + "}\n", + "\n", + "# Convert the dictionary to a pandas DataFrame\n", + "df = pd.DataFrame(statistics)\n", + "\n", + "# Display the DataFrame\n", + "print(df)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/png.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/png.ipynb new file mode 100644 index 000000000..ce18996b3 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/png.ipynb @@ -0,0 +1,2846 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from typing import List\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "\n", + "DEV_DIR = \"843-migration-phase3-model-vs-obs\"\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{DEV_DIR}/\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_DIR = \"main\"\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)\n", + "\n", + "\n", + "def _remove_unwanted_files(file_glob: List[str]) -> List[str]:\n", + " \"\"\"Remove files that we don't want to compare.\n", + "\n", + " * area_mean_time_series -- `main` does not generate netCDF\n", + " * enso_diags -- `main` does not generate netCDF\n", + " * qbo -- variable name differs\n", + " * diurnal_cycle -- variable name differs\n", + " * diff -- comparing the difference between regridded files is not helpful\n", + " between branches because of the influence in floating point errors.\n", + " * ERA5_ext-U10-ANN-global_ref and ERA5_ext-U10-JJA-global_ref -- dev\n", + " branch does not generate these files because it is a model-only run.\n", + "\n", + " Parameters\n", + " ----------\n", + " file_glob : List[str]\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " List[str]\n", + " _description_\n", + " \"\"\"\n", + "\n", + " new_glob = []\n", + "\n", + " for fp in file_glob:\n", + " if (\n", + " \"area_mean_time_series\" in fp\n", + " or \"enso_diags\" in fp\n", + " or \"qbo\" in fp\n", + " or \"diurnal_cycle\" in fp\n", + " or \"diff\" in fp\n", + " or \"ERA5_ext-U10-ANN-global_ref\" in fp\n", + " or \"ERA5_ext-U10-JJA-global_ref\" in fp\n", + " ):\n", + " continue\n", + "\n", + " new_glob.append(fp)\n", + "\n", + " return new_glob\n", + "\n", + "\n", + "DEV_GLOB = _remove_unwanted_files(DEV_GLOB)\n", + "MAIN_GLOB = _remove_unwanted_files(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_dev_files = []\n", + " missing_main_files = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_PATH, DEV_PATH)\n", + "\n", + " if fp_dev not in DEV_GLOB:\n", + " missing_dev_files.append(fp_dev)\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_dev.replace(DEV_PATH, MAIN_PATH)\n", + "\n", + " if fp_main not in MAIN_GLOB:\n", + " missing_main_files.append(fp_main)\n", + "\n", + " return missing_dev_files, missing_main_files" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "(641, 639)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(DEV_GLOB), len(MAIN_GLOB)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "missing_dev_files, missing_main_files = _check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/AOD_550/AOD_550-AODVIS-ANNUALCYCLE-global.png']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_dev_files" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MACv2/MACv2-AODVIS-ANNUALCYCLE-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2_Aerosols/MERRA2_Aerosols-AODVIS-ANNUALCYCLE-global.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/viewer/e3sm_logo.png']" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "missing_main_files" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (697 vs. 695).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (697 vs. 695)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/aerosol_aeronet/AERONET/AERONET-AODABS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET/AERONET-AODABS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET_diff/AERONET-AODABS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/aerosol_aeronet/AERONET/AERONET-AODVIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET/AERONET-AODVIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/aerosol_aeronet/AERONET_diff/AERONET-AODVIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-NETCF_SRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/COREv2_Flux/COREv2_Flux-PminusE-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/COREv2_Flux_diff/COREv2_Flux-PminusE-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-LHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-LHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-PSL-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-PSL-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-SHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-SHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TMQ-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-TMQ-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5/ERA5-TREFHT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/ERA5_diff/ERA5-TREFHT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_OAFLux_diff/GPCP_OAFLux-PminusE-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v2.3/GPCP_v2.3-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v3.2/GPCP_v3.2-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-LHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-LHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PRECT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-PRECT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-PSL-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-PSL-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-SHFLX-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-SHFLX-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TMQ-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-TMQ-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2/MERRA2-TREFHT-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/MERRA2_diff/MERRA2-TREFHT-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-SCO-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS_diff/OMI-MLS-SCO-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS/OMI-MLS-TCO-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/OMI-MLS_diff/OMI-MLS-TCO-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/SST_CL_HadISST/HadISST_CL-SST-ANNUALCYCLE-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/annual_cycle_zonal_mean/SST_CL_HadISST_diff/HadISST_CL-SST-ANNUALCYCLE-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/ISCCP-COSP/ISCCPCOSP-COSP_HISTOGRAM_ISCCP-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MISR-COSP/MISRCOSP-COSP_HISTOGRAM_MISR-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/cosp_histogram/MODIS-COSP/MODISCOSP-COSP_HISTOGRAM_MODIS-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-ANN-75S75N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-JJA-75S75N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-NETCF_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-NETCF_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux_diff/COREv2_Flux-PminusE-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/COREv2_Flux_diff/COREv2_Flux-PminusE-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC_diff/CRU-TREFHT-ANN-land_60S90N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC/CRU-TREFHT-JJA-land_60S90N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/CRU_IPCC_diff/CRU-TREFHT-JJA-land_60S90N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-NET_FLUX_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-NET_FLUX_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-NET_FLUX_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-OMEGA-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-OMEGA-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PSL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-PSL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-PSL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-PSL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-ANN-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TAUXY-ANN-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TAUXY-JJA-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TAUXY-JJA-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TMQ-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TMQ-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-TREFHT-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-TREFHT-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-TREFHT-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-U-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-U-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-U-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-QREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-QREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-QREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-U10-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-U10-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/ERA5/ERA5_ext-U10-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5/ERA5_ext-U10-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/ERA5_diff/ERA5_ext-U10-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux_diff/GPCP_OAFLux-PminusE-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_OAFLux_diff/GPCP_OAFLux-PminusE-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v2.3_diff/GPCP_v2.3-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-NET_FLUX_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-NET_FLUX_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-OMEGA-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-OMEGA-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PSL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-PSL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-PSL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-PSL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-ANN-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TAUXY-ANN-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TAUXY-JJA-ocean.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TAUXY-JJA-ocean.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TMQ-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-ANN-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFHT-JJA-land.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFHT-JJA-land.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMNAV-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMNAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMXAV-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREFMXAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREF_range-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-TREF_range-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-TREF_range-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-U-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/MERRA2_diff/MERRA2-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS_diff/OMI-MLS-TCO-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS/OMI-MLS-TCO-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/OMI-MLS_diff/OMI-MLS-TCO-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST/HadISST-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST_diff/HadISST-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_HadISST/HadISST-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST/HadISST-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_HadISST_diff/HadISST-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-SHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux/OAFlux-SHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/lat_lon/WHOI-OAFlux_diff/OAFlux-SHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/ERA5_diff/ERA5-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/meridional_mean_2d/MERRA2_diff/MERRA2-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/mp_partition/mixed-phase_partition_diff/mixed-phase_partition.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC_diff/CRU-TREFHT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC/CRU-TREFHT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/CRU_IPCC_diff/CRU-TREFHT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-LHFLX-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-LHFLX-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-LHFLX-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-PSL-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-PSL-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-PSL-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-T-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-T-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-T-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TAUXY-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TAUXY-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TAUXY-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TMQ-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TMQ-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TMQ-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-TREFHT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-TREFHT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-TREFHT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-U-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-U-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-U-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/ERA5/ERA5-Z3-500-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5/ERA5-Z3-500-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/ERA5_diff/ERA5-Z3-500-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v2.3_diff/GPCP_v2.3-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-LHFLX-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-LHFLX-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PRECT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PRECT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PRECT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-PSL-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-PSL-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-PSL-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-T-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-T-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-T-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TAUXY-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TAUXY-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TMQ-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TMQ-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TMQ-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFHT-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFHT-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMNAV-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMNAV-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-TREFMXAV-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-TREFMXAV-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-200-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-200-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-200-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-U-850-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-U-850-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-U-850-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2/MERRA2-Z3-500-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/MERRA2_diff/MERRA2-Z3-500-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST/HadISST_CL-SST-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST/HadISST_PD-SST-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-polar_N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST/HadISST_PI-SST-JJA-polar_S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/polar/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-polar_S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/cmip6-comparison-data/cmip6_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data/cmip6_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data_diff/cmip6_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/cmip6-comparison-data/cmip6_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data/cmip6_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/cmip6-comparison-data_diff/cmip6_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/ANN_metrics_taylor_diag_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/ANN_metrics_taylor_diag_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/ANN_metrics_taylor_diag_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_amip.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_amip.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/JJA_metrics_taylor_diag_amip.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_historical.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data/JJA_metrics_taylor_diag_historical.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/viewer/taylor-diagram-data_diff/JJA_metrics_taylor_diag_historical.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5/ERA5-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/ERA5_diff/ERA5-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2/MERRA2-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d/MERRA2_diff/MERRA2-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-OMEGA-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-OMEGA-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-Q-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-Q-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-RELHUM-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-RELHUM-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-T-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-T-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5/ERA5-U-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/ERA5_diff/ERA5-U-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-OMEGA-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-OMEGA-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-Q-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-Q-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-RELHUM-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-RELHUM-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-T-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-T-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2/MERRA2-U-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_2d_stratosphere/MERRA2_diff/MERRA2-U-SON-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDO-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-ALBEDOC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FLUTC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOA-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-FSNTOAC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-LWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-NETCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-RESTOM-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SOLIN-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-TOA-v4.1_diff/ceres_ebaf_toa_v4.1-SWCF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-ALBEDO_SRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FLNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSDSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-FSNSC-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-LWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/CERES-EBAF-surface-v4.1_diff/ceres_ebaf_surface_v4.1-SWCFSRF-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux_diff/COREv2_Flux-PminusE-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux/COREv2_Flux-PminusE-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/COREv2_Flux_diff/COREv2_Flux-PminusE-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDHGH_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDLOW_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDMED_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud Calipso_diff/CALIPSOCOSP-CLDTOT_CAL-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU1.3_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud ISCCP_diff/ISCCPCOSP-CLDTOT_TAU9.4_ISCCP-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDLOW_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU1.3_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MISR_diff/MISRCOSP-CLDTOT_TAU9.4_MISR-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDHGH_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU1.3_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/Cloud MODIS_diff/MODISCOSP-CLDTOT_TAU9.4_MODIS-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-LHFLX-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-LHFLX-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-LHFLX-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TMQ-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-TREFHT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5/ERA5-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/ERA5_diff/ERA5-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_OAFLux/GPCP_OAFLux-PminusE-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3_diff/GPCP_v2.3-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v2.3/GPCP_v2.3-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2_diff/GPCP_v3.2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2/GPCP_v3.2-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/GPCP_v3.2_diff/GPCP_v3.2-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-PRECT-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-T-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-T-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-TMQ-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TMQ-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFHT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-TREFHT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-JJA-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-TREFMXAV-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-200-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-200-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-200-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-850-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-U-850-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-U-850-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-Z3-500-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2/MERRA2-Z3-500-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/MERRA2_diff/MERRA2-Z3-500-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST_diff/HadISST_CL-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_CL_HadISST_diff/HadISST_CL-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST_diff/HadISST_PD-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PD_HadISST_diff/HadISST_PD-SST-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST_diff/HadISST_PI-SST-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/843-migration-phase3-model-vs-obs/zonal_mean_xy/SST_PI_HadISST_diff/HadISST_PI-SST-JJA-global.png\n" + ] + } + ], + "source": [ + "MAIN_GLOB = [f for f in MAIN_GLOB if \"AOD_550\" not in f]\n", + "\n", + "for main_path in MAIN_GLOB:\n", + " dev_path = main_path.replace(MAIN_PATH, DEV_PATH)\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All the plots are virtually identical. There looks like one red dot that is different, which creates a diff plot.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "cdat_regression_test", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/run_script.py b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/run_script.py new file mode 100644 index 000000000..d46ac75d8 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/run_script.py @@ -0,0 +1,286 @@ +""" +Make sure to run the machine-specific commands below before +running this script: + +Compy: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /share/apps/E3SM/conda_envs/load_latest_e3sm_unified_compy.sh + +LCRC: + srun --pty --nodes=1 --time=01:00:00 /bin/bash + source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_chrysalis.sh + Or: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified_anvil.sh + +NERSC perlmutter cpu: + salloc --nodes 1 --qos interactive --time 01:00:00 --constraint cpu --account=e3sm + source /global/common/software/e3sm/anaconda_envs/load_latest_e3sm_unified_pm-cpu.sh +""" +# flake8: noqa E501 + +import os +from typing import Tuple, TypedDict + +from mache import MachineInfo + +from e3sm_diags.parameter.annual_cycle_zonal_mean_parameter import ACzonalmeanParameter +from e3sm_diags.parameter.area_mean_time_series_parameter import ( + AreaMeanTimeSeriesParameter, +) +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.zonal_mean_2d_stratosphere_parameter import ( + ZonalMean2dStratosphereParameter, +) +from e3sm_diags.run import runner + + +class MachinePaths(TypedDict): + html_path: str + obs_climo: str + test_climo: str + obs_ts: str + test_ts: str + dc_obs_climo: str + dc_test_climo: str + arm_obs: str + arm_test: str + tc_obs: str + tc_test: str + + +def run_all_sets(): + machine_paths: MachinePaths = _get_machine_paths() + + param = CoreParameter() + + param.reference_data_path = machine_paths["obs_climo"] + param.test_data_path = machine_paths["test_climo"] + param.test_name = "20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis" + param.seasons = [ + "ANN", + "JJA", + ] # Default setting: seasons = ["ANN", "DJF", "MAM", "JJA", "SON"] + param.results_dir = ( + "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple" + ) + param.multiprocessing = True + param.num_workers = 24 + + # Set specific parameters for new sets + enso_param = EnsoDiagsParameter() + enso_param.reference_data_path = machine_paths["obs_ts"] + enso_param.test_data_path = machine_paths["test_ts"] + enso_param.test_name = "e3sm_v2" + enso_param.test_start_yr = "0051" + enso_param.test_end_yr = "0060" + # Enso obs data range from year 1979 to 2016 + enso_param.ref_start_yr = "2001" + enso_param.ref_end_yr = "2010" + + qbo_param = QboParameter() + qbo_param.reference_data_path = machine_paths["obs_ts"] + qbo_param.test_data_path = machine_paths["test_ts"] + qbo_param.test_name = "e3sm_v2" + qbo_param.start_yr = "0051" + qbo_param.end_yr = "0060" + # Qbo obs data range from year 1979 to 2019 + # Number of years of test and ref should match + qbo_param.ref_start_yr = "2001" + qbo_param.ref_end_yr = "2010" + + ts_param = AreaMeanTimeSeriesParameter() + ts_param.reference_data_path = machine_paths["obs_ts"] + ts_param.test_data_path = machine_paths["test_ts"] + ts_param.test_name = "e3sm_v2" + ts_param.start_yr = "0051" + ts_param.end_yr = "0060" + + dc_param = DiurnalCycleParameter() + dc_param.reference_data_path = machine_paths["dc_obs_climo"] + dc_param.test_data_path = machine_paths["dc_test_climo"] + dc_param.short_test_name = "e3sm_v2" + # Plotting diurnal cycle amplitude on different scales. Default is True + dc_param.normalize_test_amp = False + + streamflow_param = StreamflowParameter() + streamflow_param.reference_data_path = machine_paths["obs_ts"] + streamflow_param.test_data_path = machine_paths["test_ts"] + streamflow_param.short_test_name = "e3sm_v2" + streamflow_param.test_start_yr = "0051" + streamflow_param.test_end_yr = "0060" + # Streamflow gauge station data range from year 1986 to 1995 + streamflow_param.ref_start_yr = "1986" + streamflow_param.ref_end_yr = "1995" + + arm_param = ARMDiagsParameter() + arm_param.reference_data_path = machine_paths["arm_obs"] + arm_param.ref_name = "armdiags" + arm_param.test_data_path = machine_paths["arm_test"] + arm_param.test_name = "e3sm_v2" + # arm_param.test_start_yr = "1996" + # arm_param.test_end_yr = "2010" + arm_param.test_start_yr = "1985" + arm_param.test_end_yr = "2014" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, will use all available years form obs + arm_param.ref_start_yr = "0001" + arm_param.ref_end_yr = "0001" + + tc_param = TCAnalysisParameter() + tc_param.reference_data_path = machine_paths["tc_obs"] + tc_param.test_data_path = machine_paths["tc_test"] + tc_param.short_test_name = "e3sm_v2" + tc_param.test_start_yr = "0051" + tc_param.test_end_yr = "0060" + # For model vs obs, the ref start and end year can be any four digit strings. + # For now, use all available years form obs by default. + tc_param.ref_start_yr = "1979" + tc_param.ref_end_yr = "2018" + + ac_param = ACzonalmeanParameter() + + zm_param = ZonalMean2dStratosphereParameter() + + mp_param = MPpartitionParameter() + # mp_param.reference_data_path = machine_paths["obs_ts"] + mp_param.test_data_path = machine_paths["test_ts"] + mp_param.short_test_name = "e3sm_v2" + mp_param.test_start_yr = "0051" + mp_param.test_end_yr = "0060" + + param.save_netcdf = True + runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "zonal_mean_2d_stratosphere", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "annual_cycle_zonal_mean", + "enso_diags", + "qbo", + "area_mean_time_series", + "diurnal_cycle", + "streamflow", + "arm_diags", + "tc_analysis", + "aerosol_aeronet", + "aerosol_budget", + "mp_partition", + ] + + runner.run_diags( + [ + param, + zm_param, + ac_param, + enso_param, + qbo_param, + ts_param, + dc_param, + streamflow_param, + arm_param, + tc_param, + mp_param, + ] + ) + + return param.results_dir + + +def _get_machine_paths() -> MachinePaths: + """Returns the paths on the machine that are required to run e3sm_diags. + + Returns + ------- + MachinePaths + A dictionary of paths on the machine, with the key being the path type + and the value being the absolute path string. + """ + # Get the current machine's configuration info. + machine_info = MachineInfo() + machine = machine_info.machine + + if machine not in [ + "anvil", + "chrysalis", + "compy", + "pm-cpu", + "cori-haswell", + "cori-knl", + ]: + raise ValueError(f"e3sm_diags is not supported on this machine ({machine}).") + + # Path to the HTML outputs for the current user. + web_portal_base_path = machine_info.config.get("web_portal", "base_path") + html_path = f"{web_portal_base_path}/{machine_info.username}/" + + # Path to the reference data directory. + diags_base_path = machine_info.diagnostics_base + ref_data_dir = f"{diags_base_path}/observations/Atm" + + # Paths to the test data directories. + test_data_dir, test_data_dir2 = _get_test_data_dirs(machine) + + # Construct the paths required by e3sm_diags using the base paths above. + machine_paths: MachinePaths = { + "html_path": html_path, + "obs_climo": f"{ref_data_dir}/climatology", + "test_climo": f"{test_data_dir}/climatology/rgr/", + "obs_ts": f"{ref_data_dir}/time-series/", + "test_ts": f"{test_data_dir}/time-series/rgr/", + "dc_obs_climo": f"{ref_data_dir}/climatology", + "dc_test_climo": f"{test_data_dir}/diurnal_climatology/rgr", + "arm_obs": f"{ref_data_dir}/arm-diags-data/", + "arm_test": f"{test_data_dir2}/arm-diags-data/", + "tc_obs": f"{ref_data_dir}/tc-analysis/", + "tc_test": f"{test_data_dir}/tc-analysis/", + } + + return machine_paths + + +def _get_test_data_dirs(machine: str) -> Tuple[str, str]: + """Get the directories for test data based on the machine. + + The second path is for using the high frequency grid box output at ARM sites + from another simulation when the output is available. + + Parameters + ---------- + machine : str + The name of the machine. + + Returns + ------- + Tuple[str, str] + A tuple of two strings, each representing a test data directory path. + """ + test_data_dirs = None + + # TODO: Update this function to use `mache` after the directories are updated. + if machine in ["chrysalis", "anvil"]: + base = "/lcrc/group/e3sm/public_html/e3sm_diags_test_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["compy"]: + base = "/compyfs/e3sm_diags_data/postprocessed_e3sm_v2_data_for_e3sm_diags" + elif machine in ["cori-haswell", "cori-knl", "pm-cpu"]: + base = "/global/cfs/cdirs/e3sm/e3sm_diags/postprocessed_e3sm_v2_data_for_e3sm_diags" + + test_data_dirs = ( + f"{base}/20210528.v2rc3e.piControl.ne30pg2_EC30to60E2r2.chrysalis", + # f"{base}/20210719.PhaseII.F20TR-P3.NGD.ne30pg2.compy", + f"{base}/20221103.v2.LR.amip.NGD_v3atm.chrysalis", + ) + + return test_data_dirs # type: ignore + + +if __name__ == "__main__": + run_all_sets() diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_nc.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_nc.ipynb new file mode 100644 index 000000000..d32568ffd --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_nc.ipynb @@ -0,0 +1,810 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"diurnal_cycle\"\n", + "SET_DIR = \"861-time-series-multiple\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_keys = [\n", + " \"PRECT_diurnal_cycmean\",\n", + " \"PRECT_diurnal_amplitude\",\n", + " \"PRECT_diurnal_phase\",\n", + " ]\n", + " for key in var_keys:\n", + " print(f\" * var_key: {key}\")\n", + "\n", + " dev_data = ds1[key].values\n", + " main_data = ds2[key].values\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (60 and 60).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_ref.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global_test.nc\n", + " * var_key: PRECT_diurnal_cycmean\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_amplitude\n", + " * All close and within relative tolerance (1e-05)\n", + " * var_key: PRECT_diurnal_phase\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All files are within rtol 1e-05.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_png.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_png.ipynb new file mode 100644 index 000000000..e52a8fb34 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/diurnal_cycle_png.ipynb @@ -0,0 +1,364 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"diurnal_cycle\"\n", + "SET_DIR = \"861-time-series-multiple\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-diurnal-cycle\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-diurnal-cycle\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "No development file found to compare with /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png!\n", + "Number of files missing: 30\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (30 and 30).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-ANN-50S50N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-ANN-CONUS.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-ANN-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-DJF-50S50N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-DJF-CONUS.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-DJF-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-JJA-50S50N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-JJA-CONUS.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-JJA-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-MAM-50S50N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-MAM-CONUS.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-MAM-global.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-20S20N.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-SON-50S50N.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-Amazon.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-SON-CONUS.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-W_Pacific.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-diurnal/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/diurnal_cycle/TRMM-3B43v-7_3hr_diff/TRMM-3B43v-7_3hr-PRECT-SON-global.png\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_nc.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_nc.ipynb new file mode 100644 index 000000000..9be2f7ad2 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_nc.ipynb @@ -0,0 +1,1576 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "SET_NAME = \"enso_diags\"\n", + "SET_DIR = \"861-time-series-multiple\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"enso-main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"enso-main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs() -> int:\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " mismatches = []\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"enso-main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " if \"regression\" in fp_main:\n", + " var_key = fp_main.split(\"/\")[-1].split(\"-\")[2].upper()\n", + " var_key_cdat = f\"{var_key}-regression-over-nino\"\n", + " elif \"feedback\" in fp_main:\n", + " var_key = fp_main.split(\"/\")[-1].split(\"-\")[1].upper()\n", + " var_key_cdat = f\"{var_key}-feedback\"\n", + "\n", + " print(f\" * var_key: {var_key}\")\n", + "\n", + " dev_data = ds1[var_key].values\n", + " # main_data = ds2[var_key_cdat].values[1:-1]\n", + " main_data = ds2[var_key_cdat]\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " if \"mismatch\" in str(e):\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data[1:-1],\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " else:\n", + " print(f\" {e}\")\n", + " mismatches.append((fp_dev, fp_main))\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + " return mismatches" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_diff.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (30 and 30).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc\n", + " * var_key: FLNS\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.08201782\n", + "Max relative difference: 0.64689754\n", + " x: array([ 4.58544 , 2.485706, 3.111711, 0.767667, 1.648402, 3.223995,\n", + " 1.59968 , 0.373345, 1.550645, -0.038671, -1.088026, 0.199513,\n", + " -1.694707, 0.574215, -1.211548, -0.088548, 1.481813, 0.685491,...\n", + " y: array([ 4.576222, 2.494163, 3.120666, 0.74798 , 1.660498, 3.238505,\n", + " 1.615224, 0.385147, 1.570752, -0.061149, -1.084575, 0.19586 ,\n", + " -1.688319, 0.608236, -1.16629 , -0.060196, 1.414754, 0.636474,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_test.nc\n", + " * var_key: FLNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc\n", + " * var_key: FSNS\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.43258972\n", + "Max relative difference: 2.16216355\n", + " x: array([ 1.213787e+01, 7.135695e+00, 3.147739e+00, 3.137359e+00,\n", + " 4.684971e+00, 6.356290e+00, 2.267159e+00, 3.013787e+00,\n", + " 3.547312e+00, 2.070424e-02, 3.573419e+00, 5.998464e+00,...\n", + " y: array([ 1.203760e+01, 7.208760e+00, 3.153898e+00, 3.050703e+00,\n", + " 4.708108e+00, 6.299110e+00, 2.339174e+00, 3.113597e+00,\n", + " 3.582495e+00, -1.781526e-02, 3.572107e+00, 6.033232e+00,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_test.nc\n", + " * var_key: FSNS\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc\n", + " * var_key: LHFLX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.31026925\n", + "Max relative difference: 1.4436187\n", + " x: array([-16.846834, -11.460476, -0.260557, -7.857147, -7.481644,\n", + " 2.495975, -2.459956, -6.000213, -7.531353, -4.563122,\n", + " -14.512969, -17.648658, -9.918952, -6.918592, -0.572116,...\n", + " y: array([-16.849978, -11.233628, -0.106627, -7.62422 , -7.419526,\n", + " 2.54498 , -2.387893, -6.147381, -7.456442, -4.568174,\n", + " -14.5197 , -17.660721, -10.14628 , -7.124798, -0.717113,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_ref.nc\n", + " * var_key: LHFLX\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34_test.nc\n", + " * var_key: LHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.57487474\n", + "Max relative difference: 0.44062548\n", + " x: array([ 24.986253, 16.954633, -0.294606, 11.19022 , 11.682311,\n", + " 1.17291 , 3.197588, 8.8063 , 9.345975, 4.506336,\n", + " 19.777237, 24.261501, 15.081716, 15.104376, -2.231025,...\n", + " y: array([ 24.890231, 16.794664, -0.473196, 10.855193, 11.617329,\n", + " 1.032505, 3.180212, 9.061564, 9.283075, 4.487035,\n", + " 19.787209, 24.335711, 15.280794, 15.390211, -1.65615 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_ref.nc\n", + " * var_key: NET_FLUX_SRF\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34_test.nc\n", + " * var_key: NET_FLUX_SRF\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_ref.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34_test.nc\n", + " * var_key: PRECT\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc\n", + " * var_key: SHFLX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 120 / 120 (100%)\n", + "Max absolute difference: 0.04254491\n", + "Max relative difference: 1.57097275\n", + " x: array([-0.586986, -0.844167, 0.591191, -0.96338 , -1.164099, -0.536591,\n", + " -0.070152, -0.165644, 0.182045, 0.116161, -0.602823, -0.813892,\n", + " -0.385786, -0.996138, -0.915772, -1.011553, -0.57045 , 0.179156,...\n", + " y: array([-0.57887 , -0.846439, 0.613055, -0.928249, -1.150193, -0.516881,\n", + " -0.068369, -0.185733, 0.18511 , 0.124473, -0.610827, -0.83762 ,\n", + " -0.412688, -1.004824, -0.958317, -1.046433, -0.579117, 0.146234,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_ref.nc\n", + " * var_key: SHFLX\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34_test.nc\n", + " * var_key: SHFLX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc\n", + " * var_key: TAUX\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 119 / 120 (99.2%)\n", + "Max absolute difference: 0.41271604\n", + "Max relative difference: 0.66807887\n", + " x: array([ 18.272091, 11.067615, 7.282271, 2.0656 , -2.899694,\n", + " -5.542193, -7.454822, 1.728814, -8.768283, -0.205142,\n", + " -1.855827, -25.474358, -7.966977, -12.302557, -1.793213,...\n", + " y: array([ 18.509528, 11.142698, 7.307616, 2.121824, -2.963343,\n", + " -5.693791, -7.595321, 1.652784, -8.808141, -0.218935,\n", + " -1.951945, -25.624018, -8.032325, -12.401156, -1.821695,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_test.nc\n", + " * var_key: TAUX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_ref.nc\n", + " * var_key: TAUX\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34_test.nc\n", + " * var_key: TAUX\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_ref.nc\n", + " * var_key: TAUY\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34_test.nc\n", + " * var_key: TAUY\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "mismatches = _get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Results\n", + "\n", + "- For the CDAT regression netCDF files, we remove the extra start and end lat coordinates that are added via the `\"ccb\"` slice flag. This ensures arrays and results are aligned.\n", + "- For the feedback netCDF files, the two extra points results in what seems like a large differences in the anomalies.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3_ref.nc'),\n", + " ('/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/enso-main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3_ref.nc')]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mismatches" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "ds1 = xr.open_dataset(mismatches[0][0])" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "ds2 = xr.open_dataset(mismatches[0][1])" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 2kB\n",
+       "Dimensions:  (time: 120)\n",
+       "Coordinates:\n",
+       "  * time     (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12-16T12...\n",
+       "Data variables:\n",
+       "    FLNS     (time) float64 960B ...
    " + ], + "text/plain": [ + " Size: 2kB\n", + "Dimensions: (time: 120)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12-16T12...\n", + "Data variables:\n", + " FLNS (time) float64 960B ..." + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds1" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
    \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
    <xarray.Dataset> Size: 4kB\n",
+       "Dimensions:        (time: 120, bound: 2)\n",
+       "Coordinates:\n",
+       "  * time           (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12...\n",
+       "Dimensions without coordinates: bound\n",
+       "Data variables:\n",
+       "    bounds_time    (time, bound) datetime64[ns] 2kB ...\n",
+       "    FLNS-feedback  (time) float64 960B ...\n",
+       "Attributes:\n",
+       "    Conventions:  CF-1.0
    " + ], + "text/plain": [ + " Size: 4kB\n", + "Dimensions: (time: 120, bound: 2)\n", + "Coordinates:\n", + " * time (time) datetime64[ns] 960B 2001-01-16T12:00:00 ... 2010-12...\n", + "Dimensions without coordinates: bound\n", + "Data variables:\n", + " bounds_time (time, bound) datetime64[ns] 2kB ...\n", + " FLNS-feedback (time) float64 960B ...\n", + "Attributes:\n", + " Conventions: CF-1.0" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ds2" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-0.2028542676624383 -0.202113868730045\n", + "-0.0016904522305203193 -0.0016842822394170416\n", + "-8.156214274999115 -8.103394765085596\n", + "4.585439916659517 4.5762217718118094\n", + "2.281253170375751 2.2717773078329726\n" + ] + } + ], + "source": [ + "print(ds1[\"FLNS\"].sum().item(), ds2[\"FLNS-feedback\"].sum().item())\n", + "print(ds1[\"FLNS\"].mean().item(), ds2[\"FLNS-feedback\"].mean().item())\n", + "print(ds1[\"FLNS\"].min().item(), ds2[\"FLNS-feedback\"].min().item())\n", + "print(ds1[\"FLNS\"].max().item(), ds2[\"FLNS-feedback\"].max().item())\n", + "print(ds1[\"FLNS\"].std().item(), ds2[\"FLNS-feedback\"].std().item())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_png.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_png.ipynb new file mode 100644 index 000000000..fcb5fe47e --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/enso_diags_png.ipynb @@ -0,0 +1,322 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"enso_diags\"\n", + "SET_DIR = \"861-time-series-multiple\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (12 and 12).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png']" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png']" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback/feedback-FLNS-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FLNS-feedback_diff/feedback-FLNS-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback/feedback-FSNS-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/FSNS-feedback_diff/feedback-FSNS-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback/feedback-LHFLX-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-feedback_diff/feedback-LHFLX-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response/regression-coefficient-lhflx-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/LHFLX-response_diff/regression-coefficient-lhflx-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-feedback_diff/feedback-NET_FLUX_SRF-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response/regression-coefficient-net_flux_srf-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/NET_FLUX_SRF-response_diff/regression-coefficient-net_flux_srf-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response/regression-coefficient-prect-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/PRECT-response_diff/regression-coefficient-prect-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback/feedback-SHFLX-NINO3-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-feedback_diff/feedback-SHFLX-NINO3-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response/regression-coefficient-shflx-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/SHFLX-response_diff/regression-coefficient-shflx-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback/feedback-TAUX-NINO4-TS-NINO3.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-feedback_diff/feedback-TAUX-NINO4-TS-NINO3.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUX-response_diff/regression-coefficient-taux-over-nino34.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response/regression-coefficient-tauy-over-nino34.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/enso_diags/TAUY-response_diff/regression-coefficient-tauy-over-nino34.png\n" + ] + } + ], + "source": [ + "dev_glob = [file for file in DEV_GLOB if \"diff\" not in file]\n", + "for main_path, dev_path in zip(MAIN_GLOB, dev_glob):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- All plots are really close. The two extra latitude points for `\"ccb\"` in the CDAT code\n", + " influence the diffs. Specifically, the regression-coefficient plots for xCDAT show a missing\n", + " line at the bottom which is most likely due to the two extra latitude points not being included.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_nc.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_nc.ipynb new file mode 100644 index 000000000..834a49e36 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_nc.ipynb @@ -0,0 +1,1702 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "SET_NAME = \"qbo\"\n", + "SET_DIR = \"861-time-series-multiple\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " if \"test.nc\" in fp_main or \"ref.nc\" in fp_main:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " var_keys = [\"U\"]\n", + " for key in var_keys:\n", + " print(f\" * var_key: {key}\")\n", + "\n", + " dev_data = ds1[key].values\n", + " main_data = ds2[key].values\n", + "\n", + " if dev_data is None or main_data is None:\n", + " print(\" * Could not find variable key in the dataset(s)\")\n", + " continue\n", + "\n", + " try:\n", + " np.testing.assert_allclose(\n", + " dev_data,\n", + " main_data,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc']" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "DEV_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_level_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_level_test.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc',\n", + " '/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc']" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "MAIN_GLOB" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 4).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 4)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Let's ignore `qbo_diags_level_ref.nc` and `qbo_diags_level_test.nc`.\n", + "\n", + "- Those files are just the Z dimension of the variable found in the `qbo_diags_qbo_ref.nc` and `qbo_diags_qbo_test.nc`.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "MAIN_GLOB = [filename for filename in MAIN_GLOB if \"_level\" not in filename]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\n", + " * var_key: U\n", + " \n", + "Not equal to tolerance rtol=1e-05, atol=0\n", + "\n", + "Mismatched elements: 4440 / 4440 (100%)\n", + "Max absolute difference: 64.15747321\n", + "Max relative difference: 1767.25842536\n", + " x: array([[-16.930712, -42.569729, -25.370665, ..., -2.711329, -2.530502,\n", + " -2.283684],\n", + " [ -2.24533 , -41.558418, -27.585657, ..., -2.62069 , -2.403724,...\n", + " y: array([[ -2.285837, -2.53099 , -2.710924, ..., -25.36748 , -42.5402 ,\n", + " -16.94262 ],\n", + " [ -2.126941, -2.409103, -2.624998, ..., -27.588021, -41.54002 ,...\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_test.nc\n", + " * var_key: U\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "- Reference file diffs are massive because the CDAT codebase does not correctly sort the data by the Z axis (`plev`). I opened an issue to address this on `main` here: https://github.com/E3SM-Project/e3sm_diags/issues/825\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Validation: Sorting the CDAT produced reference file by the Z axis in ascending fixes the issue. We can move forward with the changes in this PR.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import xcdat as xc\n", + "import xarray as xr\n", + "\n", + "ds_xc = xc.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/664-qbo/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\"\n", + ")\n", + "ds_cdat = xc.open_dataset(\n", + " \"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/qbo/QBO-ERA-Interim/qbo_diags_qbo_ref.nc\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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array([[-16.94262 , -42.5402 , -25.36748 , ..., -2.710924, -2.53099 ,\n -2.285837],\n [ -2.284392, -41.54002 , -27.588021, ..., -2.624998, -2.409103,...", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAssertionError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m----> 3\u001b[0m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mtesting\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43massert_allclose\u001b[49m\u001b[43m(\u001b[49m\u001b[43mds_xc\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mU\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mds_cdat\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mU\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n", + " \u001b[0;31m[... skipping hidden 1 frame]\u001b[0m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/contextlib.py:79\u001b[0m, in \u001b[0;36mContextDecorator.__call__..inner\u001b[0;34m(*args, **kwds)\u001b[0m\n\u001b[1;32m 76\u001b[0m \u001b[38;5;129m@wraps\u001b[39m(func)\n\u001b[1;32m 77\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21minner\u001b[39m(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwds):\n\u001b[1;32m 78\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_recreate_cm():\n\u001b[0;32m---> 79\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwds\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/global/u2/v/vo13/mambaforge/envs/e3sm_diags_dev_cm/lib/python3.10/site-packages/numpy/testing/_private/utils.py:797\u001b[0m, in \u001b[0;36massert_array_compare\u001b[0;34m(comparison, x, y, err_msg, verbose, header, precision, equal_nan, equal_inf, strict)\u001b[0m\n\u001b[1;32m 793\u001b[0m err_msg \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(remarks)\n\u001b[1;32m 794\u001b[0m msg \u001b[38;5;241m=\u001b[39m build_err_msg([ox, oy], err_msg,\n\u001b[1;32m 795\u001b[0m verbose\u001b[38;5;241m=\u001b[39mverbose, header\u001b[38;5;241m=\u001b[39mheader,\n\u001b[1;32m 796\u001b[0m names\u001b[38;5;241m=\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mx\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124my\u001b[39m\u001b[38;5;124m'\u001b[39m), precision\u001b[38;5;241m=\u001b[39mprecision)\n\u001b[0;32m--> 797\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAssertionError\u001b[39;00m(msg)\n\u001b[1;32m 798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m:\n\u001b[1;32m 799\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtraceback\u001b[39;00m\n", + "\u001b[0;31mAssertionError\u001b[0m: \nNot equal to tolerance rtol=1e-07, atol=0\n\nMismatched elements: 4440 / 4440 (100%)\nMax absolute difference: 0.18704352\nMax relative difference: 7.69507964\n x: array([[-16.930712, -42.569729, -25.370665, ..., -2.711329, -2.530502,\n -2.283684],\n [ -2.24533 , -41.558418, -27.585657, ..., -2.62069 , -2.403724,...\n y: array([[-16.94262 , -42.5402 , -25.36748 , ..., -2.710924, -2.53099 ,\n -2.285837],\n [ -2.284392, -41.54002 , -27.588021, ..., -2.624998, -2.409103,..." + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "np.testing.assert_allclose(ds_xc[\"U\"], ds_cdat[\"U\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Maxes and Mins -- Really close\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "61.54721945135814 61.36017592984254\n", + "-66.54760399615296 -66.52449748057968\n" + ] + } + ], + "source": [ + "print(ds_xc[\"U\"].max().item(), ds_cdat[\"U\"].max().item())\n", + "print(ds_xc[\"U\"].min().item(), ds_cdat[\"U\"].min().item())" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Compare Sum and Mean -- Really close\n" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "-3.739846878096383 -3.745529874323115\n", + "-16604.92013874794 -16630.15264199463\n" + ] + } + ], + "source": [ + "print(ds_xc[\"U\"].mean().item(), ds_cdat[\"U\"].mean().item())\n", + "print(ds_xc[\"U\"].sum().item(), ds_cdat[\"U\"].sum().item())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_png.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_png.ipynb new file mode 100644 index 000000000..a9882592e --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/all-ts-datasets/specific_sets/qbo_png.ipynb @@ -0,0 +1,225 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"qbo\"\n", + "SET_DIR = \"861-time-series-multiple\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = (\n", + " f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/{SET_NAME}/**\"\n", + ")\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main-qbo-wavelet\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main-qbo-wavelet\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 1).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[13], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (2 vs. 1)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main-qbo-wavelet/qbo/QBO-ERA-Interim/qbo_diags.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/qbo/QBO-ERA-Interim/qbo_diags.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/861-time-series-multiple/qbo/QBO-ERA-Interim_diff/qbo_diags.png\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/run_script.py b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/run_script.py new file mode 100644 index 000000000..0f0e31acb --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/run_script.py @@ -0,0 +1,103 @@ +# %% +import os +import numpy +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter + + +from e3sm_diags.run import runner + +short_name = "v3.LR.historical_0051" +# test_ts = "ts" +test_ts = "/lcrc/group/e3sm/ac.forsyth2/zppy_min_case_e3sm_diags_cdat_migrated_output/test-diags-no-cdat-20240917/v3.LR.historical_0051/post/atm/180x360_aave/ts/monthly/2yr" +start_yr = int("1987") +end_yr = int("1988") +num_years = end_yr - start_yr + 1 +ref_start_yr = 1985 + +param = CoreParameter() + +# Model +param.test_data_path = "climo" +param.test_name = "v3.LR.historical_0051" +param.short_test_name = short_name + +# Ref + +# Obs +param.reference_data_path = "/lcrc/group/e3sm/diagnostics/observations/Atm/climatology/" + +# Output dir +param.results_dir = "model_vs_obs_1987-1988" + +# Additional settings +param.run_type = "model_vs_obs" +param.diff_title = "Model - Observations" +param.output_format = ["png"] +param.output_format_subplot = [] +param.multiprocessing = True +param.num_workers = 8 +# param.fail_on_incomplete = True +params = [param] + +# Model land +enso_param = EnsoDiagsParameter() +enso_param.test_data_path = test_ts +enso_param.test_name = short_name +enso_param.test_start_yr = start_yr +enso_param.test_end_yr = end_yr + +# Obs +enso_param.reference_data_path = ( + "/lcrc/group/e3sm/diagnostics/observations/Atm/time-series/" +) +enso_param.ref_start_yr = ref_start_yr +enso_param.ref_end_yr = ref_start_yr + 10 + +params.append(enso_param) +streamflow_param = StreamflowParameter() +streamflow_param.reference_data_path = ( + "/lcrc/group/e3sm/diagnostics/observations/Atm/time-series/" +) +streamflow_param.test_data_path = "/lcrc/group/e3sm/ac.forsyth2/zppy_min_case_e3sm_diags_cdat_migrated_output/test-diags-no-cdat-20240917/v3.LR.historical_0051/post/rof/native/ts/monthly/2yr" +streamflow_param.test_name = short_name +streamflow_param.test_start_yr = start_yr +streamflow_param.test_end_yr = end_yr + +# Obs +streamflow_param.reference_data_path = ( + "/lcrc/group/e3sm/diagnostics/observations/Atm/time-series/" +) +streamflow_param.ref_start_yr = ( + "1986" # Streamflow gauge station data range from year 1986 to 1995 +) +streamflow_param.ref_end_yr = "1995" + +params.append(streamflow_param) +tc_param = TCAnalysisParameter() +tc_param.test_data_path = "/lcrc/group/e3sm/ac.forsyth2/zppy_min_case_e3sm_diags_cdat_migrated_output/test-diags-no-cdat-20240917/v3.LR.historical_0051/post/atm/tc-analysis_1987_1988" +tc_param.short_test_name = short_name +tc_param.test_start_yr = "1987" +tc_param.test_end_yr = "1988" + +# Obs +tc_param.reference_data_path = ( + "/lcrc/group/e3sm/diagnostics/observations/Atm/tc-analysis/" +) +# For model vs obs, the ref start and end year can be any four digit strings +# For now, use all available years from obs by default +tc_param.ref_start_yr = "1979" +tc_param.ref_end_yr = "2018" + +params.append(tc_param) + +# Run +runner.sets_to_run = ["lat_lon", "tc_analysis", "enso_diags", "streamflow"] +# runner.sets_to_run = ["tc_analysis", "enso_diags", "streamflow"] +# runner.sets_to_run = ["enso_diags", "streamflow"] +# runner.sets_to_run = ["enso_diags"] +runner.run_diags(params) + +# %% diff --git a/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/template_cdat_regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/template_cdat_regression_test_png.ipynb new file mode 100644 index 000000000..7b761b93f --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/861-time-series-multiple/template_cdat_regression_test_png.ipynb @@ -0,0 +1,264 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "DEV_DIR = \"861-time-series-multiple\"\n", + "DEV_PATH = f\"/home/ac.tvo/E3SM-Project/e3sm_diags/qa/{DEV_DIR}/\"\n", + "\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"**/**/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_DIR = \"861-time-series-multiple-main\"\n", + "MAIN_PATH = f\"/home/ac.tvo/E3SM-Project/e3sm_diags/qa/{MAIN_DIR}/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"**/**/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(MAIN_DIR, DEV_DIR)\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(MAIN_DIR, DEV_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/FLUT/FLUT.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/FSNTOA/FSNTOA.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/LHFLX/LHFLX.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/LWCF/LWCF.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/PRECT/PRECT.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/QFLX/QFLX.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/SHFLX/SHFLX.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/SWCF/SWCF.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/TREFHT/TREFHT.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/enso_diags/TAUX-response/regression-coefficient-taux-over-nino34.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/qbo/QBO-ERA-Interim/qbo_diags.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_map.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/annual_scatter.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/streamflow/RIVER_DISCHARGE_OVER_LAND_LIQ_GSIM/seasonality_map.png!\n", + "No production file found to compare with /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/viewer/viewer/e3sm_logo.png!\n", + "Number of files missing: 15\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "ename": "OSError", + "evalue": "Number of files do not match at DEV_PATH and MAIN_PATH (25 vs. 15).", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mOSError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[5], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43m_check_if_matching_filecount\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n", + "Cell \u001b[0;32mIn[2], line 11\u001b[0m, in \u001b[0;36m_check_if_matching_filecount\u001b[0;34m()\u001b[0m\n\u001b[1;32m 9\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_check_if_matching_filecount\u001b[39m():\n\u001b[1;32m 10\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m DEV_NUM_FILES \u001b[38;5;241m!=\u001b[39m MAIN_NUM_FILES:\n\u001b[0;32m---> 11\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIOError\u001b[39;00m(\n\u001b[1;32m 12\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mNumber of files do not match at DEV_PATH and MAIN_PATH \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 13\u001b[0m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m(\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m vs. \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mMatching file count (\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mDEV_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m and \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mMAIN_NUM_FILES\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m).\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n", + "\u001b[0;31mOSError\u001b[0m: Number of files do not match at DEV_PATH and MAIN_PATH (25 vs. 15)." + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple-main/area_mean_time_series/FLUT/FLUT.png\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/FLUT/FLUT.png\n", + " * Difference path /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/FLUT_diff/FLUT.png\n", + "Comparing:\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple-main/area_mean_time_series/FSNTOA/FSNTOA.png\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/FSNTOA/FSNTOA.png\n", + " * Difference path /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/FSNTOA_diff/FSNTOA.png\n", + "Comparing:\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple-main/area_mean_time_series/LHFLX/LHFLX.png\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/LHFLX/LHFLX.png\n", + " * Difference path /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/LHFLX_diff/LHFLX.png\n", + "Comparing:\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple-main/area_mean_time_series/LWCF/LWCF.png\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/LWCF/LWCF.png\n", + " * Difference path /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/LWCF_diff/LWCF.png\n", + "Comparing:\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple-main/area_mean_time_series/PRECT/PRECT.png\n", + " * /home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/PRECT/PRECT.png\n" + ] + }, + { + "ename": "FileNotFoundError", + "evalue": "[Errno 2] No such file or directory: '/home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/PRECT/PRECT.png'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mFileNotFoundError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[7], line 9\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m * \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mmain_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m * \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdev_path\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 9\u001b[0m \u001b[43mget_image_diffs\u001b[49m\u001b[43m(\u001b[49m\u001b[43mdev_path\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmain_path\u001b[49m\u001b[43m)\u001b[49m\n", + "File \u001b[0;32m/gpfs/fs1/home/ac.tvo/E3SM-Project/e3sm_diags/auxiliary_tools/cdat_regression_testing/utils.py:183\u001b[0m, in \u001b[0;36mget_image_diffs\u001b[0;34m(actual_path, expected_path)\u001b[0m\n\u001b[1;32m 167\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mget_image_diffs\u001b[39m(actual_path: \u001b[38;5;28mstr\u001b[39m, expected_path: \u001b[38;5;28mstr\u001b[39m) \u001b[38;5;241m-\u001b[39m\u001b[38;5;241m>\u001b[39m \u001b[38;5;28mstr\u001b[39m \u001b[38;5;241m|\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 168\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Get the diffs between two images.\u001b[39;00m\n\u001b[1;32m 169\u001b[0m \n\u001b[1;32m 170\u001b[0m \u001b[38;5;124;03m This function is useful for comparing two datasets that can't be compared\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 181\u001b[0m \u001b[38;5;124;03m The path to the expected png (e.g., CDAT).\u001b[39;00m\n\u001b[1;32m 182\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[0;32m--> 183\u001b[0m actual_png \u001b[38;5;241m=\u001b[39m \u001b[43mImage\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mactual_path\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241m.\u001b[39mconvert(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRGB\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 184\u001b[0m expected_png \u001b[38;5;241m=\u001b[39m Image\u001b[38;5;241m.\u001b[39mopen(expected_path)\u001b[38;5;241m.\u001b[39mconvert(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRGB\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 186\u001b[0m diff \u001b[38;5;241m=\u001b[39m ImageChops\u001b[38;5;241m.\u001b[39mdifference(actual_png, expected_png)\n", + "File \u001b[0;32m/gpfs/fs1/home/ac.tvo/mambaforge/envs/e3sm_diags_dev_673/lib/python3.10/site-packages/PIL/Image.py:3247\u001b[0m, in \u001b[0;36mopen\u001b[0;34m(fp, mode, formats)\u001b[0m\n\u001b[1;32m 3244\u001b[0m filename \u001b[38;5;241m=\u001b[39m fp\n\u001b[1;32m 3246\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m filename:\n\u001b[0;32m-> 3247\u001b[0m fp \u001b[38;5;241m=\u001b[39m \u001b[43mbuiltins\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mopen\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mrb\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m 3248\u001b[0m exclusive_fp \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n\u001b[1;32m 3250\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n", + "\u001b[0;31mFileNotFoundError\u001b[0m: [Errno 2] No such file or directory: '/home/ac.tvo/E3SM-Project/e3sm_diags/qa/861-time-series-multiple/area_mean_time_series/PRECT/PRECT.png'" + ] + } + ], + "source": [ + "MAIN_GLOB = [f for f in MAIN_GLOB if \"AOD_550\" not in f]\n", + "\n", + "for main_path in MAIN_GLOB:\n", + " dev_path = main_path.replace(MAIN_PATH, DEV_PATH)\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/e3sm_diags/driver/enso_diags_driver.py b/e3sm_diags/driver/enso_diags_driver.py index a87d298af..dd376dc4f 100644 --- a/e3sm_diags/driver/enso_diags_driver.py +++ b/e3sm_diags/driver/enso_diags_driver.py @@ -295,7 +295,7 @@ def calculate_nino_index_model( sst = ds_obj.get_time_series_dataset("SST") nino_var_key = "SST" except IOError as e1: - if str(e1).startswith("No time series `.nc` file was found for 'SST' in"): + if str(e1).startswith("No files found for target variable SST"): logger.info( "Handling the following exception by looking for surface " f"temperature: {e1}", diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 32a4b6f63..47c0cf839 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -17,7 +17,7 @@ import os import re from datetime import datetime, timedelta -from typing import TYPE_CHECKING, Callable, Dict, Literal, Tuple +from typing import TYPE_CHECKING, Callable, Dict, List, Literal, Tuple import pandas as pd import xarray as xr @@ -44,6 +44,37 @@ TS_EXT_FILEPATTERN = r"_.{13}.nc" +# Additional variables to keep when subsetting. +HYBRID_VAR_KEYS = set(list(sum(HYBRID_SIGMA_KEYS.values(), ()))) + +# In some cases, lat and lon are stored as single point data variables rather +# than coordinates. These variables are kept when subsetting for downstream +# operations (e.g., arm_diags). +MISC_VARS = ["area", "areatotal2", "lat", "lon"] + +# Seasons for model only data, used for matching filenames to construct +# filepaths. +MODEL_ONLY_SEASONS = [ + "ANN", + "DJF", + "MAM", + "JJA", + "SON", + "01", + "02", + "03", + "04", + "05", + "06", + "07", + "08", + "09", + "10", + "11", + "12", +] + + def squeeze_time_dim(ds: xr.Dataset) -> xr.Dataset: """Squeeze single coordinate climatology time dimensions. @@ -232,7 +263,7 @@ def _get_test_name(self, default_name: str | None = None) -> str: Returns ------- str - The diagnostic test name. + The diagnostic test name. Notes ----- @@ -319,10 +350,10 @@ def get_climo_dataset(self, var: str, season: ClimoFreq) -> xr.Dataset: """Get the dataset containing the climatology variable. These variables can either be from the test data or reference data. - If the variable is already a climatology variable, then get it directly - from the dataset. If the variable is a time series variable, get the - variable from the dataset and compute the climatology based on the - selected frequency. + If the variable is in a time series dataset, use the variable to + calculate the climatology based on the selected frequency. If the + variable is already a climatology variable, return the climatology + dataset directly. Parameters ---------- @@ -343,10 +374,6 @@ def get_climo_dataset(self, var: str, season: ClimoFreq) -> xr.Dataset: If the specified variable is not a valid string. ValueError If the specified season is not a valid string. - ValueError - If unable to determine if the variable is a reference or test - variable and where to find the variable (climatology or time series - file). """ self.var = var @@ -358,18 +385,15 @@ def get_climo_dataset(self, var: str, season: ClimoFreq) -> xr.Dataset: f"{CLIMO_FREQS}" ) - if self.is_climo: - ds = self._get_climo_dataset(season) - return ds - elif self.is_time_series: + if self.is_time_series: ds = self.get_time_series_dataset(var) ds_climo = climo(ds, self.var, season).to_dataset() + return ds_climo - else: - raise RuntimeError( - "This Dataset object could not be identified as either a climatology " - "(`self.is_climo`) or time series dataset (`self.is_time_series`)." - ) + + ds = self._get_climo_dataset(season) + + return ds def _get_climo_dataset(self, season: str) -> xr.Dataset: """Get the climatology dataset for the variable and season. @@ -409,7 +433,7 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: ) ds = squeeze_time_dim(ds) - ds = self._subset_vars_and_load(ds) + ds = self._subset_vars_and_load(ds, self.var) return ds @@ -551,10 +575,12 @@ def _get_climo_filepath(self, season: str) -> str: filename = self.parameter.ref_name elif self.data_type == "test": filename = self.parameter.test_name + if season == "ANNUALCYCLE": filepath = self._find_climo_filepath(filename, "01") + # find the path for 12 monthly mean files - if filepath: + if filepath is not None: filename_01 = filepath.split("/")[-1] filepath = filepath.replace( # f"{filename_01}", f"{filename}_[0-1][0-9]_*_*climo.nc" @@ -657,8 +683,8 @@ def _find_climo_filepath_with_season( return os.path.join(root_path, file) # For model only data, the string can by anywhere in the - # filename if the season is in ["ANN", "DJF", "MAM", "JJA", "SON"]. - if season in ["ANN", "DJF", "MAM", "JJA", "SON"]: + # filename. This is a more general pattern for model only data. + if season in MODEL_ONLY_SEASONS: for file in files_in_dir: if file.startswith(filename) and season in file: return os.path.join(root_path, file) @@ -671,7 +697,7 @@ def _get_dataset_with_derived_climo_var(self, ds: xr.Dataset) -> xr.Dataset: Parameters ---------- ds: xr.Dataset - The climatology dataset, whic should contain the source variables + The climatology dataset, which should contain the source variables for deriving the target variable. Returns @@ -774,50 +800,6 @@ def _get_matching_climo_src_vars( return None - def _subset_vars_and_load(self, ds: xr.Dataset) -> xr.Dataset: - """Subset for variables needed for processing and load into memory. - - Subsetting the dataset reduces its memory footprint. Loading is - necessary because there seems to be an issue with `open_mfdataset()` - and using the multiprocessing scheduler defined in e3sm_diags, - resulting in timeouts and resource locking. To avoid this, we load the - multi-file dataset into memory before performing downstream operations. - - Source: https://github.com/pydata/xarray/issues/3781 - - Parameters - ---------- - ds : xr.Dataset - The dataset. - - Returns - ------- - xr.Dataset - The dataset subsetted and loaded into memory. - """ - # slat and slon are lat lon pair for staggered FV grid included in - # remapped files. - if "slat" in ds.dims: - ds = ds.drop_dims(["slat", "slon"]) - - all_vars_keys = list(ds.data_vars.keys()) - - hybrid_var_keys = set(list(sum(HYBRID_SIGMA_KEYS.values(), ()))) - misc_vars = ["area"] - keep_vars = [ - var - for var in all_vars_keys - if "bnd" in var - or "bounds" in var - or var in hybrid_var_keys - or var in misc_vars - ] - ds = ds[[self.var] + keep_vars] - - ds.load(scheduler="sync") - - return ds - # -------------------------------------------------------------------------- # Time series related methods # -------------------------------------------------------------------------- @@ -1006,15 +988,18 @@ def _get_matching_time_series_src_vars( # the matching derived variables dictionary if the files exist in the # time series filepath. for tuple_of_vars in possible_vars: - if all(self._get_timeseries_filepath(path, var) for var in tuple_of_vars): - # All of the variables (list_of_vars) have files in data_path. - # Return the corresponding dict. + all_vars_found = all( + self._get_time_series_filepaths(path, var) is not None + for var in tuple_of_vars + ) + + if all_vars_found: return {tuple_of_vars: target_var_map[tuple_of_vars]} # None of the entries in the derived variables dictionary are valid, # so try to get the dataset for the variable directly. # Example file name: {var}_{start_yr}01_{end_yr}12.nc. - if self._get_timeseries_filepath(path, self.var): + if self._get_time_series_filepaths(path, self.var) is not None: return {(self.var,): lambda x: x} raise IOError( @@ -1059,33 +1044,37 @@ def _get_time_series_dataset_obj(self, var) -> xr.Dataset: xr.Dataset The dataset for the variable. """ - filepath = self._get_timeseries_filepath(self.root_path, var) + filepaths = self._get_time_series_filepaths(self.root_path, var) - if filepath == "": + if filepaths is None: raise IOError( f"No time series `.nc` file was found for '{var}' in '{self.root_path}'" ) - ds = xc.open_dataset( - filepath, add_bounds=["X", "Y", "T"], decode_times=True, use_cftime=True + ds = xc.open_mfdataset( + filepaths, + add_bounds=["X", "Y", "T"], + decode_times=True, + use_cftime=True, + coords="minimal", + compat="override", ) - ds_subset = self._subset_time_series_dataset(ds, filepath) + ds_subset = self._subset_time_series_dataset(ds, var) return ds_subset - def _get_timeseries_filepath(self, root_path: str, var_key: str) -> str: - """Get the matching variable time series filepath. + def _get_time_series_filepaths( + self, root_path: str, var_key: str + ) -> List[str] | None: + """Get the matching variable time series filepaths. This method globs the specified path for all `*.nc` files and attempts - to find a matching time series filepath for the specified variable. + to find the matching time series filepath(s) for the specified variable. Example matching filenames. - {var}_{start_yr}01_{end_yr}12.nc - {self.parameters.ref_name}/{var}_{start_yr}01_{end_yr}12.nc - If there are multiple files that exist for a variable (with different - start_yr or end_yr), return an empty string (""). - Parameters ---------- root_path : str @@ -1096,16 +1085,9 @@ def _get_timeseries_filepath(self, root_path: str, var_key: str) -> str: Returns ------- - str - The variable's time series filepath if a match is found. If - a match is not found, an empty string ("") is returned. - - Raises - ------ - IOError - Multiple time series files found for the specified variable. - IOError - Multiple time series files found for the specified variable. + List[str] + A list of matching filepaths for the variable. If no match is found, + None is returned. """ # The filename pattern for matching using regex. if self.parameter.sets[0] in ["arm_diags"]: @@ -1116,116 +1098,91 @@ def _get_timeseries_filepath(self, root_path: str, var_key: str) -> str: # Example: "ts_200001_200112.nc" filename_pattern = var_key + TS_EXT_FILEPATTERN - # Attempt 1 - try to find the file directly in `data_path` - # Example: {path}/ts_200001_200112.nc" - match = self._get_matching_time_series_filepath( - root_path, var_key, filename_pattern - ) + # First pattern example: {path}/ts_200001_200112.nc" + matches = self._get_matches(root_path, filename_pattern) - # Attempt 2 - try to find the file in the `ref_name` directory, which - # is nested in `data_path`. - # Example: {path}/*/{ref_name}/*/ts_200001_200112.nc" + # If no matches were found with the first pattern, try the second + # pattern using ref_name. + # Second pattern example: {path}/{ref_name}/ts_200001_200112.nc" ref_name = getattr(self.parameter, "ref_name", None) - if match is None and ref_name is not None: - match = self._get_matching_time_series_filepath( - root_path, var_key, filename_pattern, ref_name - ) + if len(matches) == 0 and ref_name is not None: + matches = self._get_matches(root_path, filename_pattern, ref_name) - # If there are still no matching files, return an empty string. - if match is None: - return "" + if len(matches) == 0: + return None - return match + return matches - def _get_matching_time_series_filepath( - self, - root_path: str, - var_key: str, - filename_pattern: str, - ref_name: str | None = None, - ) -> str | None: - """Get the matching filepath. + def _get_matches( + self, root_path: str, filename_pattern: str, ref_name: str | None = None + ) -> List[str]: + """Get the matching filepaths based on the glob path and pattern. Parameters ---------- root_path : str - The root path containing `.nc` files. The `.nc` files can be nested - in sub-directories within the root path. - var_key : str - The variable key used to find the time series file. - filename_pattern : str - The filename pattern (e.g., "ts_200001_200112.nc"). - ref_name : str | None, optional - The directory name storing reference files, by default None. + The root path to search for files. + filepath_pattern : str + The regex pattern to match filepaths. + For example, "RIVER_DISCHARGE_OVER_LAND_LIQ_.{13}.nc". + ref_name : str | None + The directory name storing references files, by default None. Returns ------- - str | None - The matching filepath if it exists, or None if it doesn't. - - Raises - ------ - IOError - If there are more than one matching filepaths for a variable. + List[str] + A list of matching filepaths. """ if ref_name is None: - # Example: {path}/ts_200001_200112.nc" - glob_path = os.path.join(root_path, "*.*") - filepath_pattern = os.path.join(glob_path, filename_pattern) + glob_dir = root_path + filepath_pattern = os.path.join(root_path, filename_pattern) else: - # Example: {path}/{ref_name}/ts_200001_200112.nc" - glob_path = os.path.join(root_path, ref_name, "*.*") + glob_dir = os.path.join(root_path, ref_name) filepath_pattern = os.path.join(root_path, ref_name, filename_pattern) - # Sort the filepaths and loop over them, then check if there are any - # regex matches using the filepath pattern. - filepaths = sorted(glob.glob(glob_path)) + glob_path = os.path.join(glob_dir, "**", "*.nc") + filepaths = glob.glob(glob_path, recursive=True) + filepaths = sorted(filepaths) matches = [f for f in filepaths if re.search(filepath_pattern, f)] - if len(matches) == 1: - return matches[0] - elif len(matches) >= 2: - raise IOError( - ( - "There are multiple time series files found for the variable " - f"'{var_key}' in '{root_path}' but only one is supported. " - ) - ) + return matches - return None + def _subset_time_series_dataset(self, ds: xr.Dataset, var: str) -> xr.Dataset: + """Subset the time series dataset. - def _subset_time_series_dataset(self, ds: xr.Dataset, filepath: str) -> xr.Dataset: - """Subset the time series dataset based on the filepath. + This method subsets the variables in the dataset and loads the data + into memory, then subsets on the time slice based on the specified + files. Parameters ---------- ds : xr.Dataset The time series dataset. - filepath : str - The filepath of the dataset. + var : str + The main variable to keep. Returns ------- xr.Dataset The subsetted time series dataset. """ - time_slice = self._get_time_slice(ds, filepath) - ds_subset = ds.sel(time=time_slice).squeeze() + ds_sub = self._subset_vars_and_load(ds, var) - ds_subset = self._exclude_sub_monthly_coord_spanning_year(ds_subset) + time_slice = self._get_time_slice(ds_sub) + ds_sub = ds_sub.sel(time=time_slice).squeeze() - return ds_subset + if self.is_sub_monthly: + ds_sub = self._exclude_sub_monthly_coord_spanning_year(ds_sub) + + return ds_sub - def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: + def _get_time_slice(self, ds: xr.Dataset) -> slice: """Get time slice to subset a dataset. Parameters ---------- ds : xr.Dataset The dataset. - filename : str - The filename. - Returns ------- slice @@ -1236,13 +1193,8 @@ def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: ValueError If invalid date range specified for test/reference time series data. """ - start_yr_int = int(self.start_yr) - end_yr_int = int(self.end_yr) - - # Get the available start and end years from the file name. - # Example: {var}_{start_yr}01_{end_yr}12.nc - var_start_year = int(filename.split("/")[-1].split("_")[-2][:4]) - var_end_year = int(filename.split("/")[-1].split("_")[-1][:4]) + start_yr_int, end_yr_int = int(self.start_yr), int(self.end_yr) + var_start_year, var_end_year = self._extract_var_start_and_end_years(ds) if start_yr_int < var_start_year: raise ValueError( @@ -1255,8 +1207,8 @@ def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: f"end_year ({end_yr_int}) > var_end_yr ({var_end_year})." ) - start_yr_str = self._get_year_str(start_yr_int) - end_yr_str = self._get_year_str(end_yr_int) + start_yr_str = str(start_yr_int).zfill(4) + end_yr_str = str(end_yr_int).zfill(4) if self.is_sub_monthly: start_time = f"{start_yr_str}-01-01" @@ -1269,6 +1221,32 @@ def _get_time_slice(self, ds: xr.Dataset, filename: str) -> slice: return slice(start_time, end_time) + def _extract_var_start_and_end_years(self, ds: xr.Dataset) -> Tuple[int, int]: + """Extract the start and end years from the time coordinates. + + If the last time coordinate starts in January, subtract one year from + the end year to get the correct end year which should align with the + end year from the filepaths. + + Parameters + ---------- + ds : xr.Dataset + The dataset with time coordinates. + + Returns + ------- + Tuple[int, int] + The start and end years. + """ + time_coords = xc.get_dim_coords(ds, axis="T") + start_year = time_coords[0].dt.year + end_year = time_coords[-1].dt.year + + if time_coords[-1].dt.month == 1: + end_year -= 1 + + return start_year.item(), end_year.item() + def _get_slice_with_bounds( self, ds: xr.Dataset, year_str: str, slice_type: Literal["start", "end"] ) -> str: @@ -1290,7 +1268,6 @@ def _get_slice_with_bounds( 3. Now slice the time coordinates using ("2011-01-15", "2014-01-15"). Xarray will now correctly correctly subset to include the last coordinate value of "2014-01-01" using this time slice. - Parameters ---------- ds : xr.Dataset @@ -1315,31 +1292,49 @@ def _get_slice_with_bounds( """ time_bounds = ds.bounds.get_bounds(axis="T") time_delta = self._get_time_bounds_delta(time_bounds) - time_coords = xc.get_dim_coords(ds, axis="T") - actual_day = time_coords[0].dt.day.item() - actual_month = time_coords[0].dt.month.item() + actual_day, actual_month = ( + time_coords[0].dt.day.item(), + time_coords[0].dt.month.item(), + ) if slice_type == "start": stop = f"{year_str}-01-15" - if actual_day >= 15 or actual_month > 1: - return stop - - stop_dt = datetime.strptime(stop, "%Y-%m-%d") - new_stop = stop_dt - time_delta - elif slice_type == "end": + if actual_day < 15 and actual_month == 1: + stop = self._adjust_slice_str(stop, time_delta, add=False) + else: stop = f"{year_str}-12-15" - if actual_day <= 15 and actual_month == 1: - return stop + if actual_day > 15 or actual_month > 1: + stop = self._adjust_slice_str(stop, time_delta, add=True) - stop_dt = datetime.strptime(stop, "%Y-%m-%d") - new_stop = stop_dt + time_delta + return stop - new_stop_str = self._convert_new_stop_pt_to_iso_format(new_stop) + def _adjust_slice_str(self, slice_str: str, delta: timedelta, add: bool) -> str: + """Adjusts a date string by a given time delta. + + Parameters + ---------- + slice_str : str + The date string to be adjusted, in the format "%Y-%m-%d". + delta : timedelta + The time delta by which to adjust the date. + add : bool + If True, the delta is added to the date; if False, the delta is + subtracted. + + Returns + ------- + str + The adjusted date string in ISO format. + """ + slice_dt = datetime.strptime(slice_str, "%Y-%m-%d") + slice_dt_new = slice_dt + delta if add else slice_dt - delta - return new_stop_str + slice_str_new = self._convert_new_stop_pt_to_iso_format(slice_dt_new) + + return slice_str_new def _get_time_bounds_delta(self, time_bnds: xr.DataArray) -> timedelta: """Get the time delta between bounds values. @@ -1360,11 +1355,10 @@ def _get_time_bounds_delta(self, time_bnds: xr.DataArray) -> timedelta: return time_delta_py def _convert_new_stop_pt_to_iso_format(self, new_stop: datetime) -> str: - """ - Convert the new stop point from datetime to an ISO-8061 formatted - string. + """Convert the new stop point ISO-8061 formatted string. - For example, "2012-12-15" and "0051-12-01". + For example, "2012-12-15" and "0051-12-01". Otherwise, Xarray will + raise `ValueError: no ISO-8601 or cftime-string-like match for string:` Parameters ---------- @@ -1376,66 +1370,11 @@ def _convert_new_stop_pt_to_iso_format(self, new_stop: datetime) -> str: str The new stop point as an ISO-8061 formatted string. """ - year_str = self._get_year_str(new_stop.year) - month_day_str = self._get_month_day_str(new_stop.month, new_stop.day) - new_stop_str = f"{year_str}-{month_day_str}" - - return new_stop_str - - def _get_year_str(self, year: int) -> str: - """Get the year string in ISO-8601 format from an integer. - - When subsetting with Xarray, Xarray requires time strings to comply - with ISO-8601 (e.g., "2012-01-01"). Otherwise, Xarray will raise - `ValueError: no ISO-8601 or cftime-string-like match for string:` - - This function pads the year string if the year is less than 1000. For - example, year 51 becomes "0051" and year 501 becomes "0501". - - Parameters - ---------- - year : int - The year integer. - - Returns - ------- - str - The year as a string (e.g., "2001", "0001"). - """ - return str(year).zfill(4) - - def _get_month_day_str(self, month: int, day: int) -> str: - """Get the month and day string in ISO-8601 format from integers. - - When subsetting with Xarray, Xarray requires time strings to comply - with ISO-8601 (e.g., "2012-01-01"). Otherwise, Xarray will raise - `ValueError: no ISO-8601 or cftime-string-like match for string:` - - This function pads pad the month and/or day string with a "0" if the - value is less than 10. For example, a month of 6 will become "06". - - Parameters - ---------- - month : int - The month integer. - day : int - The day integer. - - Returns - ------- - str - The month day string (e.g., "06-12", "12-05"). - """ - month_str = str(month) - day_str = str(day) + year = str(new_stop.year).zfill(4) + month = str(new_stop.month).zfill(2) + day = str(new_stop.day).zfill(2) - if month >= 1 and month < 10: - month_str = f"{month:02}" - - if day >= 1 and day < 10: - day_str = f"{day:02}" - - return f"{month_str}-{day_str}" + return f"{year}-{month}-{day}" def _exclude_sub_monthly_coord_spanning_year( self, ds_subset: xr.Dataset @@ -1450,8 +1389,8 @@ def _exclude_sub_monthly_coord_spanning_year( For example, if the time slice is ("0001-01-01", "0002-01-01") and the last time coordinate is: - * "0002-01-01" -> exclude * "0001-12-31" -> don't exclude + * "0002-01-01" -> exclude Parameters ---------- @@ -1472,7 +1411,7 @@ def _exclude_sub_monthly_coord_spanning_year( last_time_year = time_values[-1].dt.year.item() second_last_time_year = time_values[-2].dt.year.item() - if self.is_sub_monthly and last_time_year > second_last_time_year: + if last_time_year > second_last_time_year: ds_subset = ds_subset.isel(time=slice(0, -1)) return ds_subset @@ -1536,3 +1475,46 @@ def _get_land_sea_mask(self, season: str) -> xr.Dataset: ds_mask = xr.merge([ds_land_frac, ds_ocean_frac]) return ds_mask + + def _subset_vars_and_load(self, ds: xr.Dataset, var: str) -> xr.Dataset: + """Subset for variables needed for processing and load into memory. + + Subsetting the dataset reduces its memory footprint. Loading is + necessary because there seems to be an issue with `open_mfdataset()` + and using the multiprocessing scheduler defined in e3sm_diags, + resulting in timeouts and resource locking. To avoid this, we load the + multi-file dataset into memory before performing downstream operations. + + Source: https://github.com/pydata/xarray/issues/3781 + + Parameters + ---------- + ds : xr.Dataset + The dataset. + var : str + The main variable to keep. + + Returns + ------- + xr.Dataset + The dataset subsetted and loaded into memory. + """ + # slat and slon are lat lon pair for staggered FV grid included in + # remapped files. + if "slat" in ds.dims: + ds = ds.drop_dims(["slat", "slon"]) + + all_vars_keys = list(ds.data_vars.keys()) + keep_vars = [ + var + for var in all_vars_keys + if "bnd" in var + or "bounds" in var + or var in HYBRID_VAR_KEYS + or var in MISC_VARS + ] + ds = ds[[var] + keep_vars] + + ds.load(scheduler="sync") + + return ds diff --git a/tests/e3sm_diags/driver/utils/test_dataset_xr.py b/tests/e3sm_diags/driver/utils/test_dataset_xr.py index 5f7ca20ce..2c89c92cb 100644 --- a/tests/e3sm_diags/driver/utils/test_dataset_xr.py +++ b/tests/e3sm_diags/driver/utils/test_dataset_xr.py @@ -343,10 +343,10 @@ def setup(self, tmp_path): 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False + 2001, 11, 1, 12, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False + 2001, 12, 1, 12, 0, 0, 0, has_year_zero=False ), ], dtype="object", @@ -382,18 +382,18 @@ def setup(self, tmp_path): ], [ cftime.DatetimeGregorian( - 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + 2001, 11, 1, 0, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False + 2001, 12, 1, 0, 0, 0, 0, has_year_zero=False ), ], [ cftime.DatetimeGregorian( - 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False + 2001, 12, 1, 0, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False + 2002, 1, 1, 0, 0, 0, 0, has_year_zero=False ), ], ], @@ -472,6 +472,22 @@ def test_returns_climo_dataset_using_test_file_variable(self): xr.testing.assert_identical(result, expected) + def test_returns_climo_dataset_using_test_file_variable_and_annual_cycle_season( + self, + ): + parameter = _create_parameter_object( + "test", "climo", self.data_path, "2000", "2001" + ) + parameter.test_name = "test_file" + + self.ds_climo.to_netcdf(f"{self.data_path}/test_file_01_climo.nc") + + ds = Dataset(parameter, data_type="test") + result = ds.get_climo_dataset("ts", "ANNUALCYCLE") + expected = self.ds_climo.squeeze(dim="time").drop_vars("time") + + xr.testing.assert_identical(result, expected) + def test_returns_climo_dataset_using_ref_file_variable_test_name_and_season(self): # Example: {test_data_path}/{test_name}_{season}.nc parameter = _create_parameter_object( @@ -542,63 +558,9 @@ def test_returns_climo_dataset_using_test_file_variable_ref_name_and_season_nest xr.testing.assert_identical(result, expected) - def test_returns_climo_dataset_with_derived_variable(self): - # We will derive the "PRECT" variable using the "pr" variable. - ds_pr = xr.Dataset( - coords={ - **spatial_coords, - "time": xr.DataArray( - dims="time", - data=np.array( - [ - cftime.DatetimeGregorian( - 2000, 1, 16, 12, 0, 0, 0, has_year_zero=False - ), - ], - dtype=object, - ), - attrs={ - "axis": "T", - "long_name": "time", - "standard_name": "time", - "bounds": "time_bnds", - }, - ), - }, - data_vars={ - **spatial_bounds, - "pr": xr.DataArray( - xr.DataArray( - data=np.array( - [ - [[1.0, 1.0], [1.0, 1.0]], - ] - ), - dims=["time", "lat", "lon"], - attrs={"units": "mm/s"}, - ) - ), - }, - ) - - parameter = _create_parameter_object( - "ref", "climo", self.data_path, "2000", "2001" - ) - parameter.ref_file = "pr_200001_200112.nc" - ds_pr.to_netcdf(f"{self.data_path}/{parameter.ref_file}") - - ds = Dataset(parameter, data_type="ref") - - result = ds.get_climo_dataset("PRECT", season="ANN") - expected = ds_pr.copy() - expected = expected.squeeze(dim="time").drop_vars("time") - expected["PRECT"] = expected["pr"] * 3600 * 24 - expected["PRECT"].attrs["units"] = "mm/day" - expected = expected.drop_vars("pr") - - xr.testing.assert_identical(result, expected) - - @pytest.mark.xfail + @pytest.mark.xfail( + reason="Need to figure out why to create dummy incorrect time scalar variable with Xarray." + ) def test_returns_climo_dataset_using_derived_var_directly_from_dataset_and_replaces_scalar_time_var( self, ): @@ -668,7 +630,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): }, data_vars={ **spatial_bounds, - "SOURCE_VAR": xr.DataArray( + "PRECC": xr.DataArray( xr.DataArray( data=np.array( [ @@ -676,7 +638,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): ] ), dims=["time", "lat", "lon"], - attrs={"units": "mm/s"}, + attrs={"units": "mm/day"}, ) ), }, @@ -690,7 +652,7 @@ def test_returns_climo_dataset_using_derived_var_directly_from_dataset(self): ds = Dataset(parameter, data_type="ref") - result = ds.get_climo_dataset("SOURCE_VAR", season="ANN") + result = ds.get_climo_dataset("PRECC", season="ANN") expected = ds_src.squeeze(dim="time").drop_vars("time") xr.testing.assert_identical(result, expected) @@ -775,8 +737,10 @@ def test_returns_climo_dataset_using_climo_of_time_series_files(self): [ cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), ], dtype=object, ) @@ -902,10 +866,10 @@ def setup(self, tmp_path): 2000, 2, 1, 12, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2000, 3, 1, 12, 0, 0, 0, has_year_zero=False + 2001, 11, 1, 12, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2001, 1, 1, 12, 0, 0, 0, has_year_zero=False + 2001, 12, 1, 12, 0, 0, 0, has_year_zero=False ), ], dtype=object, @@ -942,18 +906,18 @@ def setup(self, tmp_path): ], [ cftime.DatetimeGregorian( - 2000, 3, 1, 0, 0, 0, 0, has_year_zero=False + 2001, 11, 1, 0, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2000, 4, 1, 0, 0, 0, 0, has_year_zero=False + 2001, 12, 1, 0, 0, 0, 0, has_year_zero=False ), ], [ cftime.DatetimeGregorian( - 2001, 1, 1, 0, 0, 0, 0, has_year_zero=False + 2001, 12, 1, 0, 0, 0, 0, has_year_zero=False ), cftime.DatetimeGregorian( - 2001, 2, 1, 0, 0, 0, 0, has_year_zero=False + 2002, 1, 1, 0, 0, 0, 0, has_year_zero=False ), ], ], @@ -1020,15 +984,135 @@ def test_returns_time_series_dataset_using_file(self): expected["time"].data[:] = np.array( [ cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_time_series_dataset_using_file_with_start_coord_in_feb( + self, + ): + ds_ts = self.ds_ts.copy() + ds_ts.time.values[0], ds_ts.time.values[1] = ( + cftime.DatetimeGregorian(2000, 2, 1, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 1, 12, 0, 0, 0, has_year_zero=False), + ) + ds_ts.time_bnds.values[0], ds_ts.time_bnds.values[1] = ( + [ + cftime.DatetimeGregorian(2000, 2, 1, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 3, 1, 0, 0, 0, 0, has_year_zero=False), + ], + [ + cftime.DatetimeGregorian(2000, 3, 1, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 4, 1, 0, 0, 0, 0, has_year_zero=False), + ], + ) + + ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts") + + expected = self.ds_ts.copy() + expected["time"].values[:] = np.array( + [ cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_time_series_dataset_using_file_with_end_year_extending_to_next_year( + self, + ): + ds_ts = self.ds_ts.copy() + + # Move the last two time coordinates over by a month + ds_ts.time.values[-2] = ds_ts.time.values[-1] + ds_ts.time_bnds.data[-2] = ds_ts.time_bnds.values[-1] + ds_ts.time.values[-1] = cftime.DatetimeGregorian(2002, 1, 1, 12, 0, 0, 0) + ds_ts.time_bnds.values[-1] = [ + cftime.DatetimeGregorian(2002, 1, 1, 12, 0, 0, 0), + cftime.DatetimeGregorian(2002, 2, 1, 12, 0, 0, 0), + ] + ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts") + + expected = self.ds_ts.copy() + expected = expected.isel(time=slice(0, 3)) + expected["time"].values[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), ], dtype=object, ) xr.testing.assert_identical(result, expected) + def test_returns_time_series_dataset_using_sub_monthly_data_with_end_year_extending_to_next_year( + self, + ): + ds_ts = self.ds_ts.copy() + + # Move the last two time coordinates over by a month + ds_ts.time.values[-2] = ds_ts.time.values[-1] + ds_ts.time_bnds.values[-2] = ds_ts.time_bnds.values[-1] + ds_ts.time.values[-1] = cftime.DatetimeGregorian(2002, 1, 1, 12, 0, 0, 0) + ds_ts.time_bnds.values[-1] = [ + cftime.DatetimeGregorian(2002, 1, 1, 12, 0, 0, 0), + cftime.DatetimeGregorian(2002, 2, 1, 12, 0, 0, 0), + ] + + # For sub-monthly data, the last time coordinate should be excluded + # to replicate the "co" CDAT flag. + expected = ds_ts.copy() + expected = expected.isel(time=slice(0, 3)) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds_ts.to_netcdf(f"{self.data_path}/ts_200001_200112.nc") + # "arm_diags" includes the the regions parameter in the filename + ds_ts.to_netcdf(f"{self.data_path}/ts_global_200001_200112.nc") + + for set in ["diurnal_cycle", "arm_diags"]: + parameter.sets[0] = set + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("ts") + + xr.testing.assert_identical(result, expected) + def test_returns_time_series_dataset_using_sub_monthly_sets(self): parameter = _create_parameter_object( "ref", "time_series", self.data_path, "2000", "2001" @@ -1045,7 +1129,6 @@ def test_returns_time_series_dataset_using_sub_monthly_sets(self): result = ds.get_time_series_dataset("ts") expected = self.ds_ts.copy() - expected = expected.isel(time=slice(0, 3)) xr.testing.assert_identical(result, expected) @@ -1075,12 +1158,14 @@ def test_returns_time_series_dataset_using_derived_var(self): result = ds.get_time_series_dataset("PRECT") expected = ds_pr.copy() - expected["time"].data[:] = np.array( + expected["time"].values[:] = np.array( [ cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), ], dtype=object, ) @@ -1116,12 +1201,62 @@ def test_returns_time_series_dataset_using_derived_var_directly_from_dataset(sel expected = ds_precst.copy() expected = ds_precst.copy() expected["PRECST"].attrs["units"] = "mm/s" - expected["time"].data[:] = np.array( + expected["time"].values[:] = np.array( [ cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_time_series_dataset_using_derived_var_directly_from_multiple_datasets( + self, + ): + ds_precst = self.ds_ts.copy() + ds_precst["PRECST"] = xr.DataArray( + data=np.array( + [ + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + [[1.0, 1.0], [1.0, 1.0]], + ] + ), + dims=["time", "lat", "lon"], + attrs={"units": "mm/s"}, + ) + ds_precst = ds_precst.drop_vars("ts") + ds_precst.sel(time=ds_precst.time.dt.year == 2000).to_netcdf( + f"{self.data_path}/PRECST_200101_200012.nc" + ) + ds_precst.sel(time=ds_precst.time.dt.year == 2001).to_netcdf( + f"{self.data_path}/PRECST_200101_200112.nc" + ) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + + result = ds.get_time_series_dataset("PRECST") + expected = ds_precst.copy() + expected = ds_precst.copy() + expected["PRECST"].attrs["units"] = "mm/s" + expected["time"].values[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), ], dtype=object, ) @@ -1153,7 +1288,6 @@ def test_returns_time_series_dataset_without_centered_time_if_single_point_data( result = ds.get_time_series_dataset("ts", single_point=True) expected = self.ds_ts.copy() - expected = expected.isel(time=slice(0, 3)) xr.testing.assert_identical(result, expected) @@ -1171,12 +1305,48 @@ def test_returns_time_series_dataset_with_centered_time_if_non_sub_monthly_data( result = ds.get_time_series_dataset("ts") expected = self.ds_ts.copy() + expected["time"].values[:] = np.array( + [ + cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), + ], + dtype=object, + ) + + xr.testing.assert_identical(result, expected) + + def test_returns_time_series_dataset_with_centered_time_if_non_sub_monthly_data_and_drops_slat_and_slon_dims( + self, + ): + ds_ts = self.ds_ts.copy() + ds_ts = ds_ts.assign_coords( + slat=("slat", np.arange(2)), slon=("slon", np.arange(2)) + ) + ds_ts.to_netcdf(self.ts_path) + + parameter = _create_parameter_object( + "ref", "time_series", self.data_path, "2000", "2001" + ) + + ds = Dataset(parameter, data_type="ref") + ds.is_sub_monthly = False + + result = ds.get_time_series_dataset("ts") + + expected = ds_ts.copy() + expected = expected.drop_dims(["slat", "slon"]) expected["time"].data[:] = np.array( [ cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), ], dtype=object, ) @@ -1203,8 +1373,10 @@ def test_returns_time_series_dataset_using_file_with_ref_name_prepended(self): [ cftime.DatetimeGregorian(2000, 1, 16, 12, 0, 0, 0, has_year_zero=False), cftime.DatetimeGregorian(2000, 2, 15, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2000, 3, 16, 12, 0, 0, 0, has_year_zero=False), - cftime.DatetimeGregorian(2001, 1, 16, 12, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian(2001, 11, 16, 0, 0, 0, 0, has_year_zero=False), + cftime.DatetimeGregorian( + 2001, 12, 16, 12, 0, 0, 0, has_year_zero=False + ), ], dtype=object, ) @@ -1223,18 +1395,6 @@ def test_raises_error_if_time_series_dataset_could_not_be_found(self): with pytest.raises(IOError): ds.get_time_series_dataset("invalid_var") - def test_raises_error_if_multiple_time_series_datasets_found_for_single_var(self): - self.ds_ts.to_netcdf(self.ts_path) - - parameter = _create_parameter_object( - "ref", "time_series", self.data_path, "2000", "2001" - ) - self.ds_ts.to_netcdf(f"{self.data_path}/ts_199901_200012.nc") - ds = Dataset(parameter, data_type="ref") - - with pytest.raises(IOError): - ds.get_time_series_dataset("ts") - def test_raises_error_when_time_slicing_if_start_year_less_than_var_start_year( self, ): From 8031e2faaf8c817ccb3c1aaca3bcd9d7ddd8c9e8 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 29 Oct 2024 11:26:29 -0700 Subject: [PATCH 34/41] Add fix for checking `is_time_series()` property based on `data_type` attr (#881) --- .../877-attr-error/run_script.py | 34 +++++++++++++++++++ e3sm_diags/driver/utils/dataset_xr.py | 4 ++- 2 files changed, 37 insertions(+), 1 deletion(-) create mode 100644 auxiliary_tools/cdat_regression_testing/877-attr-error/run_script.py diff --git a/auxiliary_tools/cdat_regression_testing/877-attr-error/run_script.py b/auxiliary_tools/cdat_regression_testing/877-attr-error/run_script.py new file mode 100644 index 000000000..eeb452f91 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/877-attr-error/run_script.py @@ -0,0 +1,34 @@ +import os +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.run import runner + +param = CoreParameter() + +param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/time-series" +) +param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/eamxx/post/data/rgr" +param.test_name = "eamxx_decadal" +param.seasons = ["ANN"] +# param.save_netcdf = True + +param.ref_timeseries_input = True +# Years to slice the ref data, base this off the years in the filenames. +param.ref_start_yr = "1996" +param.ref_end_yr = "1996" + +prefix = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/877-attr-err" +param.results_dir = os.path.join(prefix, "eamxx_decadal_1996_1024_edv2") + +runner.sets_to_run = [ + "lat_lon", + # "zonal_mean_xy", + # "zonal_mean_2d", + # "zonal_mean_2d_stratosphere", + # "polar", + # "cosp_histogram", + # "meridional_mean_2d", + # "annual_cycle_zonal_mean", +] + +runner.run_diags([param]) diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 47c0cf839..8c9defbf9 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -163,7 +163,9 @@ def __init__( @property def is_time_series(self): - if self.parameter.ref_timeseries_input or self.parameter.test_timeseries_input: + if (self.data_type == "ref" and self.parameter.ref_timeseries_input) or ( + self.data_type == "test" and self.parameter.test_timeseries_input + ): return True else: return False From 7550b3d99d63464fd4265501eb47bbecbc505746 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 29 Oct 2024 14:17:10 -0700 Subject: [PATCH 35/41] CDAT migration: Fix African easterly wave density plots in TC analysis and convert H20LNZ units to ppm/volume (#882) --- e3sm_diags/driver/tc_analysis_driver.py | 56 +++++++++++++------ e3sm_diags/driver/zonal_mean_2d_driver.py | 6 +- .../driver/test_tc_analysis_driver.py | 3 - 3 files changed, 43 insertions(+), 22 deletions(-) diff --git a/e3sm_diags/driver/tc_analysis_driver.py b/e3sm_diags/driver/tc_analysis_driver.py index 5658db7d3..f59045d20 100644 --- a/e3sm_diags/driver/tc_analysis_driver.py +++ b/e3sm_diags/driver/tc_analysis_driver.py @@ -81,9 +81,7 @@ def run_diag(parameter: TCAnalysisParameter) -> TCAnalysisParameter: test_data_path, "aew_hist_{}_{}_{}.nc".format(test_name, test_start_yr, test_end_yr), ) - test_aew_hist = xr.open_dataset(test_aew_file).sel( - lat=slice(0, 35), lon=slice(180, 360) - )["density"] + test_aew_hist = xr.open_dataset(test_aew_file).sel()["density"] test_data = collections.OrderedDict() ref_data = collections.OrderedDict() @@ -120,9 +118,7 @@ def run_diag(parameter: TCAnalysisParameter) -> TCAnalysisParameter: "aew_hist_{}_{}_{}.nc".format(ref_name, ref_start_yr, ref_end_yr), ) # Note the refactor included subset that was missed in original implementation - ref_aew_hist = xr.open_dataset(ref_aew_file).sel( - lat=slice(0, 35), lon=slice(180, 360) - )["density"] + ref_aew_hist = xr.open_dataset(ref_aew_file).sel()["density"] ref_data["metrics"] = generate_tc_metrics_from_te_stitch_file(ref_te_file) ref_data["cyclone_density"] = ref_cyclones_hist # type: ignore ref_data["aew_density"] = ref_aew_hist # type: ignore @@ -181,19 +177,10 @@ def generate_tc_metrics_from_te_stitch_file(te_stitch_file: str) -> Dict[str, An if not lines_orig: raise ValueError(f"The file {te_stitch_file} is empty.") - line_ind = [] data_start_year = int(te_stitch_file.split(".")[-2].split("_")[-2]) data_end_year = int(te_stitch_file.split(".")[-2].split("_")[-1]) - for i in range(0, np.size(lines_orig)): - if lines_orig[i][0] == "s": - year = int(lines_orig[i].split("\t")[2]) - - if year <= data_end_year: - line_ind.append(i) - # Remove excessive time points cross year bounds from 6 hourly data - end_ind = line_ind[-1] - lines = lines_orig[0:end_ind] + lines = _filter_lines_within_year_bounds(lines_orig, data_end_year) if not lines: raise ValueError(f"The file {te_stitch_file} is empty.") @@ -243,6 +230,43 @@ def generate_tc_metrics_from_te_stitch_file(te_stitch_file: str) -> Dict[str, An return result_mod +def _filter_lines_within_year_bounds( + lines_orig: List[str], data_end_year: int +) -> List[str]: + """Filters lines within the specified year bounds. + + This function processes a list of strings, each representing a line of data. + It filters out lines based on a year extracted from each line, ensuring that + only lines with years less than or equal to `data_end_year` are retained. + Additionally, it removes excessive time points crossing year bounds from + 6-hourly data. + + Parameters + ---------- + lines_orig : List[str] + A list of strings where each string represents a line of data. + data_end_year : int + The end year for filtering lines. Only lines with years less than or + equal to this value will be retained. + Returns + ------- + List[str] + A list of strings filtered based on the specified year bounds. + """ + line_ind = [] + for i in range(0, np.size(lines_orig)): + if lines_orig[i][0] == "s": + year = int(lines_orig[i].split("\t")[2]) + + if year <= data_end_year: + line_ind.append(i) + + end_ind = line_ind[-1] + + new_lines = lines_orig[0:end_ind] + return new_lines + + def _calc_num_storms_and_max_len(lines: List[str]) -> Tuple[int, int]: """Calculate number of storms and max length using lines from a TE stitch file. diff --git a/e3sm_diags/driver/zonal_mean_2d_driver.py b/e3sm_diags/driver/zonal_mean_2d_driver.py index c9f66f2a6..9ef110e7e 100755 --- a/e3sm_diags/driver/zonal_mean_2d_driver.py +++ b/e3sm_diags/driver/zonal_mean_2d_driver.py @@ -138,7 +138,7 @@ def _convert_g_kg_to_ppm_units( This is a special case to handle small values of stratosphere specific humidity. The general derived variable process converts specific humidity to - units [g/kg]. This function converts from "g/kg" to "ppm". + units [g/kg]. This function converts from "g/kg" to "ppm" by volume. Parameters ---------- @@ -161,8 +161,8 @@ def _convert_g_kg_to_ppm_units( parameter.current_set == "zonal_mean_2d_stratosphere" and parameter.var_id == "Q" ): - ds_new[var_key] = ds_new[var_key] * 1000.0 - ds_new[var_key].attrs["units"] = "ppm" + ds_new[var_key] = ds_new[var_key] * 28.97 / 18.0 * 1000.0 + ds_new[var_key].attrs["units"] = "ppmv" return ds_new diff --git a/tests/e3sm_diags/driver/test_tc_analysis_driver.py b/tests/e3sm_diags/driver/test_tc_analysis_driver.py index d0b52d90e..c207d9fab 100644 --- a/tests/e3sm_diags/driver/test_tc_analysis_driver.py +++ b/tests/e3sm_diags/driver/test_tc_analysis_driver.py @@ -77,9 +77,6 @@ def test_correct_output(self): "vsmc": np.array([[1.94, np.nan]]), "yearmc": np.array([[1, np.nan]]), "monthmc": np.array([[1, np.nan]]), - "year_start": 90, - "year_end": 90, - "num_years": 1, } num_storms = 2 # noqa basin_info = BASIN_DICT["NA"] # noqa From 8b97aa66264fd2da0606cb5bd32dd567646c0e70 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Thu, 31 Oct 2024 13:03:48 -0700 Subject: [PATCH 36/41] CDAT Migration: Update `mp_partition_driver.py` to use Dataset from `dataset_xr.py` (#883) --- .../regression_test_png.ipynb | 213 +++++++++++++++++ .../871-mp-partition/run_script.py | 8 + .../tropical_subseasonal_driver.py | 215 +++++++++++------- e3sm_diags/driver/mp_partition_driver.py | 29 +-- .../plot/{cartopy => }/mp_partition_plot.py | 0 5 files changed, 369 insertions(+), 96 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/871-mp-partition/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/871-mp-partition/run_script.py rename e3sm_diags/plot/{cartopy => }/mp_partition_plot.py (100%) diff --git a/auxiliary_tools/cdat_regression_testing/871-mp-partition/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/871-mp-partition/regression_test_png.ipynb new file mode 100644 index 000000000..82ecaaa62 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/871-mp-partition/regression_test_png.ipynb @@ -0,0 +1,213 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "SET_NAME = \"mp_partition\"\n", + "SET_DIR = \"871-mp-partition\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/**\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/{SET_NAME}/**\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_files_found():\n", + " if DEV_NUM_FILES == 0 or MAIN_NUM_FILES == 0:\n", + " raise IOError(\n", + " \"No files found at DEV_PATH and/or MAIN_PATH. \"\n", + " f\"Please check {DEV_PATH} and {MAIN_PATH}.\"\n", + " )\n", + "\n", + "\n", + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")\n", + "\n", + "\n", + "def _check_if_missing_files():\n", + " missing_count = 0\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(SET_DIR, \"main\")\n", + "\n", + " if fp_dev not in MAIN_GLOB:\n", + " print(f\"No production file found to compare with {fp_dev}!\")\n", + " missing_count += 1\n", + "\n", + " for fp_dev in DEV_GLOB:\n", + " fp_main = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " if fp_main not in DEV_GLOB:\n", + " print(f\"No development file found to compare with {fp_main}!\")\n", + " missing_count += 1\n", + "\n", + " print(f\"Number of files missing: {missing_count}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "_check_if_files_found()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of files missing: 0\n" + ] + } + ], + "source": [ + "_check_if_missing_files()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (1 and 1).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/main/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/871-mp-partition/mp_partition/mixed-phase_partition/mixed-phase_partition.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/871-mp-partition/mp_partition/mixed-phase_partition_diff/mixed-phase_partition.png\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are identical\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/871-mp-partition/run_script.py b/auxiliary_tools/cdat_regression_testing/871-mp-partition/run_script.py new file mode 100644 index 000000000..a3ee53296 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/871-mp-partition/run_script.py @@ -0,0 +1,8 @@ +from auxiliary_tools.cdat_regression_testing.base_run_script import run_set + +SET_NAME = "mp_partition" +SET_DIR = "871-mp-partition" +CFG_PATH: str | None = None +MULTIPROCESSING = True + +run_set(SET_NAME, SET_DIR, CFG_PATH, MULTIPROCESSING) diff --git a/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py b/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py index 4e9b209a0..c2aa5854c 100755 --- a/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py +++ b/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py @@ -11,7 +11,7 @@ import e3sm_diags from e3sm_diags.driver import utils from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy.mp_partition_plot import plot +from e3sm_diags.plot.mp_partition_plot import plot import matplotlib.pyplot as plt from matplotlib.colors import ListedColormap, BoundaryNorm @@ -21,17 +21,18 @@ logger = custom_logger(__name__) -# Script to compute and plot spectral powers of a subseasonal tropical field in +# Script to compute and plot spectral powers of a subseasonal tropical field in # zonal wavenumber-frequency space. Both the plot files and files containing the # associated numerical data shown in the plots are created. # Authors: Jim Benedict and Brian Medeiros -# Modified by Jill Zhang to integrate into E3SM Diags. +# Modified by Jill Zhang to integrate into E3SM Diags. + def find_nearest(array, value): array = np.asarray(array) idx = (np.abs(array - value)).argmin() - return idx,array[idx] + return idx, array[idx] """Return index of [array] closest in value to [value] Example: array = [ 0.21069679 0.61290182 0.63425412 0.84635244 0.91599191 0.00213826 @@ -41,156 +42,206 @@ def find_nearest(array, value): """ + def wf_analysis(x, **kwargs): """Return zonal wavenumber-frequency power spectra of x. The returned spectra are: spec_sym: Raw (non-normalized) power spectrum of the component of x that is symmetric about the equator. spec_asym: Raw (non-normalized) power spectrum of the component of x that is antisymmetric about the equator. nspec_sym: Normalized (by a smoothed red-noise background spectrum) power spectrum of the component of x that is symmetric about the equator. nspec_asym: Normalized (by a smoothed red-noise background spectrum) power spectrum of the component of x that is antisymmetric about the equator. - + The NCL version of 'wkSpaceTime' smooths the symmetric and antisymmetric components - along the frequency dimension using a 1-2-1 filter once. - + along the frequency dimension using a 1-2-1 filter once. + """ # Get the "raw" spectral power - # OPTIONAL kwargs: + # OPTIONAL kwargs: # segsize, noverlap, spd, latitude_bounds (tuple: (south, north)), dosymmetries, rmvLowFrq z2 = wf.spacetime_power(x, **kwargs) - z2avg = z2.mean(dim='component') - z2.loc[{'frequency':0}] = np.nan # get rid of spurious power at \nu = 0 (mean) - + z2avg = z2.mean(dim="component") + z2.loc[{"frequency": 0}] = np.nan # get rid of spurious power at \nu = 0 (mean) + # Following NCL's wkSpaceTime, apply one pass of a 1-2-1 filter along the frequency # domain to the raw (non-normalized) spectra/um. # Do not use 0 frequency when smoothing here. # Use weights that sum to 1 to ensure that smoothing is conservative. - z2s = wf.smoothFrq121(z2,1) + z2s = wf.smoothFrq121(z2, 1) # The background is supposed to be derived from both symmetric & antisymmetric # Inputs to the background spectrum calculation should be z2avg background = wf.smoothBackground_wavefreq(z2avg) # separate components - spec_sym = z2s[0,...] - spec_asy = z2s[1,...] + spec_sym = z2s[0, ...] + spec_asy = z2s[1, ...] # normalize: Following NCL's wkSpaceTime, use lightly smoothed version of spectra/um # as numerator nspec_sym = spec_sym / background nspec_asy = spec_asy / background - - spec = xr.merge([spec_sym.rename('spec_raw_sym'), spec_asy.rename('spec_raw_asy'), nspec_sym.rename('spec_norm_sym'), nspec_asy.rename('spec_norm_asy'), background.rename('spec_background')], compat='override') - spec_all = spec.drop('component') - spec_all['spec_raw_sym'].attrs = {"component": "symmetric", "type": "raw"} - spec_all['spec_raw_asy'].attrs = {"component": "antisymmetric", "type": "raw"} - spec_all['spec_norm_sym'].attrs = {"component": "symmetric", "type": "normalized"} - spec_all['spec_norm_asy'].attrs = {"component": "antisymmetric", "type": "normalized"} - spec_all['spec_background'].attrs = {"component": "", "type": "background"} + + spec = xr.merge( + [ + spec_sym.rename("spec_raw_sym"), + spec_asy.rename("spec_raw_asy"), + nspec_sym.rename("spec_norm_sym"), + nspec_asy.rename("spec_norm_asy"), + background.rename("spec_background"), + ], + compat="override", + ) + spec_all = spec.drop("component") + spec_all["spec_raw_sym"].attrs = {"component": "symmetric", "type": "raw"} + spec_all["spec_raw_asy"].attrs = {"component": "antisymmetric", "type": "raw"} + spec_all["spec_norm_sym"].attrs = {"component": "symmetric", "type": "normalized"} + spec_all["spec_norm_asy"].attrs = { + "component": "antisymmetric", + "type": "normalized", + } + spec_all["spec_background"].attrs = {"component": "", "type": "background"} return spec_all def calculate_spectrum(path, variable): - var = xr.open_mfdataset(glob.glob(f"{test_data_path}/{variable}_*.nc")).sel( - lat=slice(-15, 15))[variable] + lat=slice(-15, 15) + )[variable] # TODO: subset time - + # Unit conversion if var.name == "PRECT": if var.attrs["units"] == "m/s" or var.attrs["units"] == "m s{-1}": - print("\nBEFORE unit conversion: Max/min of data: " + str(var.values.max()) + " " + str(var.values.min())) - var.values = var.values * 1000. * 86400. # convert m/s to mm/d, do not alter metadata (yet) - var.attrs["units"] = "mm/d" # adjust metadata to reflect change in units - print("\nAFTER unit conversion: Max/min of data: " + str(var.values.max()) + " " + str(var.values.min())) + print( + "\nBEFORE unit conversion: Max/min of data: " + + str(var.values.max()) + + " " + + str(var.values.min()) + ) + var.values = ( + var.values * 1000.0 * 86400.0 + ) # convert m/s to mm/d, do not alter metadata (yet) + var.attrs["units"] = "mm/d" # adjust metadata to reflect change in units + print( + "\nAFTER unit conversion: Max/min of data: " + + str(var.values.max()) + + " " + + str(var.values.min()) + ) if var.name == "precipAvg": if var.attrs["units"] == "mm/hr": - print("\nBEFORE unit conversion: Max/min of data: " + str(var.values.max()) + " " + str(var.values.min())) - var.values = data.values * 24. # convert mm/hr to mm/d, do not alter metadata (yet) - var.attrs["units"] = "mm/d" # adjust metadata to reflect change in units - print("\nAFTER unit conversion: Max/min of data: " + str(var.values.max()) + " " + str(var.values.min())) + print( + "\nBEFORE unit conversion: Max/min of data: " + + str(var.values.max()) + + " " + + str(var.values.min()) + ) + var.values = ( + data.values * 24.0 + ) # convert mm/hr to mm/d, do not alter metadata (yet) + var.attrs["units"] = "mm/d" # adjust metadata to reflect change in units + print( + "\nAFTER unit conversion: Max/min of data: " + + str(var.values.max()) + + " " + + str(var.values.min()) + ) # Wavenumber Frequency Analysis spec_all = wf_analysis(var, **opt) - #spec_all.to_netcdf(outDataDir + "/full_spec.nc") + # spec_all.to_netcdf(outDataDir + "/full_spec.nc") return spec_all + # # Options ... right now these only go into wk.spacetime_power() # -do_zooming = False # Set to True to also make plots to zoom into MJO spectral region, - # in addition to the default (larger) spectral region -latBound = (-15,15) # latitude bounds for analysis -spd = 1 # SAMPLES PER DAY -nDayWin = 96 # Wheeler-Kiladis [WK] temporal window length (days) +do_zooming = False # Set to True to also make plots to zoom into MJO spectral region, +# in addition to the default (larger) spectral region +latBound = (-15, 15) # latitude bounds for analysis +spd = 1 # SAMPLES PER DAY +nDayWin = 96 # Wheeler-Kiladis [WK] temporal window length (days) nDaySkip = -60 # time (days) between temporal windows [segments] - # negative means there will be overlapping temporal segments -twoMonthOverlap = -1*nDaySkip +# negative means there will be overlapping temporal segments +twoMonthOverlap = -1 * nDaySkip vari = "PRECT" srcID = "model" outDataDir = "/global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags" outDataDir = "/Users/zhang40/Documents/repos/e3sm_diags/auxiliary_tools/tropical_subseasonal_diags/data" -opt = {'segsize': nDayWin, - 'noverlap': twoMonthOverlap, - 'spd': spd, - 'latitude_bounds': latBound, - 'dosymmetries': True, - 'rmvLowFrq':True} +opt = { + "segsize": nDayWin, + "noverlap": twoMonthOverlap, + "spd": spd, + "latitude_bounds": latBound, + "dosymmetries": True, + "rmvLowFrq": True, +} -#datapath = '/global/cfs/cdirs/e3sm/forsyth/E3SMv2/v2.LR.historical_0201/post/atm/180x360_aave/ts/daily/5yr' -datapath = '/Users/zhang40/Documents/e3sm_diags_data/e3sm_diags_test_data/E3SM_v2_daily' +# datapath = '/global/cfs/cdirs/e3sm/forsyth/E3SMv2/v2.LR.historical_0201/post/atm/180x360_aave/ts/daily/5yr' +datapath = "/Users/zhang40/Documents/e3sm_diags_data/e3sm_diags_test_data/E3SM_v2_daily" from e3sm_diags.parameter.core_parameter import CoreParameter + parameter = CoreParameter() -test_data_path = '/Users/zhang40/Documents/e3sm_diags_data/e3sm_diags_test_data/E3SM_v2_daily' +test_data_path = ( + "/Users/zhang40/Documents/e3sm_diags_data/e3sm_diags_test_data/E3SM_v2_daily" +) parameter.test_data_path = test_data_path parameter.test_timeseries_input = True -parameter.test_start_yr = '2000' -parameter.test_end_yr = '2014' +parameter.test_start_yr = "2000" +parameter.test_end_yr = "2014" parameter.ref_data_path = test_data_path parameter.ref_timeseries_input = True -parameter.ref_start_yr = '2000' -parameter.ref_end_yr = '2014' -parameter.variables = ['PRECT'] +parameter.ref_start_yr = "2000" +parameter.ref_end_yr = "2014" +parameter.variables = ["PRECT"] season = "ANN" test_data = utils.dataset.Dataset(parameter, test=True) -parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season -) +parameter.test_name_yrs = utils.general.get_name_and_yrs(parameter, test_data, season) ref_data = utils.dataset.Dataset(parameter, ref=True) -parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season -) +parameter.ref_name_yrs = utils.general.get_name_and_yrs(parameter, ref_data, season) for variable in parameter.variables: - #test = calculate_spectrum(parameter.test_data_path, variable) - #test.to_netcdf("data/full_spec_test.nc") - #ref = calculate_spectrum(parameter.ref_data_path, variable) - #ref.to_netcdf("data/full_spec_ref.nc") + # test = calculate_spectrum(parameter.test_data_path, variable) + # test.to_netcdf("data/full_spec_test.nc") + # ref = calculate_spectrum(parameter.ref_data_path, variable) + # ref.to_netcdf("data/full_spec_ref.nc") # Below uses intermediate saved files for development - test = xr.open_dataset("/Users/zhang40/Documents/repos/e3sm_diags/auxiliary_tools/tropical_subseasonal_diags/data/full_spec_ref.nc").load() - ref = xr.open_dataset("/Users/zhang40/Documents/repos/e3sm_diags/auxiliary_tools/tropical_subseasonal_diags/data/full_spec_ref.nc").load() + test = xr.open_dataset( + "/Users/zhang40/Documents/repos/e3sm_diags/auxiliary_tools/tropical_subseasonal_diags/data/full_spec_ref.nc" + ).load() + ref = xr.open_dataset( + "/Users/zhang40/Documents/repos/e3sm_diags/auxiliary_tools/tropical_subseasonal_diags/data/full_spec_ref.nc" + ).load() parameter.var_id = variable for diff_name in ["raw_sym", "raw_asy", "norm_sym", "norm_asy", "background"]: - - # Compute percentage difference - diff = 100 * (test[f"spec_{diff_name}"]-ref[f"spec_{diff_name}"])/ref[f"spec_{diff_name}"] - diff.name = f"spec_{diff_name}" - diff.attrs.update(test[f"spec_{diff_name}"].attrs) - parameter.spec_type = diff_name - plot(parameter, test[f"spec_{diff_name}"], ref[f"spec_{diff_name}"], diff) - if "norm" in diff_name: - parameter.spec_type = f"{diff_name}_zoom" - plot(parameter, test[f"spec_{diff_name}"], ref[f"spec_{diff_name}"], diff, do_zoom = True) - - - -display_name, url = create_viewer('.', parameter) + # Compute percentage difference + diff = ( + 100 + * (test[f"spec_{diff_name}"] - ref[f"spec_{diff_name}"]) + / ref[f"spec_{diff_name}"] + ) + diff.name = f"spec_{diff_name}" + diff.attrs.update(test[f"spec_{diff_name}"].attrs) + parameter.spec_type = diff_name + plot(parameter, test[f"spec_{diff_name}"], ref[f"spec_{diff_name}"], diff) + if "norm" in diff_name: + parameter.spec_type = f"{diff_name}_zoom" + plot( + parameter, + test[f"spec_{diff_name}"], + ref[f"spec_{diff_name}"], + diff, + do_zoom=True, + ) + + +display_name, url = create_viewer(".", parameter) print("Viewer Created: ", url) - diff --git a/e3sm_diags/driver/mp_partition_driver.py b/e3sm_diags/driver/mp_partition_driver.py index d1e3da56c..f1602ce0b 100644 --- a/e3sm_diags/driver/mp_partition_driver.py +++ b/e3sm_diags/driver/mp_partition_driver.py @@ -1,3 +1,9 @@ +""" +This analysis set for mixed-phase cloud partition/T5050 metrics is requested by +the E3SM Aerosol Working Group. The script is integrated in e3sm_diags by Jill +Zhang and Yuying Zhang, with contribution from Yunpeng Shan, Jiwen Fan, +Xue Zheng and Susannah Burrows. +""" from __future__ import annotations import glob @@ -9,10 +15,10 @@ import xarray as xr from scipy.stats import binned_statistic -import e3sm_diags -from e3sm_diags.driver import utils +from e3sm_diags import INSTALL_PATH +from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy.mp_partition_plot import plot +from e3sm_diags.plot.mp_partition_plot import plot if TYPE_CHECKING: from e3sm_diags.parameter.mp_partition_parameter import MPpartitionParameter @@ -20,8 +26,6 @@ logger = custom_logger(__name__) -# This analysis set for mixed-phase cloud partition/T5050 metrics is requested by the E3SM Aerosol Working Group. The script is integrated in e3sm_diags by Jill Zhang and Yuying Zhang, with contribution from Yunpeng Shan, Jiwen Fan, Xue Zheng and Susannah Burrows. - def flatten_array(var): var_1d = var.stack(stacked=[...]).values @@ -69,7 +73,7 @@ def run_diag(parameter: MPpartitionParameter) -> MPpartitionParameter: # Read reference data first benchmark_data_path = os.path.join( - e3sm_diags.INSTALL_PATH, + INSTALL_PATH, "control_runs", "mixed-phase_partition_data_1985-2014.json", ) @@ -80,7 +84,7 @@ def run_diag(parameter: MPpartitionParameter) -> MPpartitionParameter: # parse file metrics_dict = json.loads(lcf_file) - test_data = utils.dataset.Dataset(parameter, test=True) + test_data = Dataset(parameter, data_type="test") # test = test_data.get_timeseries_variable("LANDFRAC") # print(dir(test)) # landfrac = test_data.get_timeseries_variable("LANDFRAC")(cdutil.region.domain(latitude=(-70.0, -30, "ccb"))) @@ -112,9 +116,7 @@ def run_diag(parameter: MPpartitionParameter) -> MPpartitionParameter: ) raise - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) + parameter.test_name_yrs = test_data.get_name_yrs_attr(season) # type: ignore metrics_dict["test"] = {} metrics_dict["test"]["T"], metrics_dict["test"]["LCF"] = compute_lcf( @@ -122,7 +124,8 @@ def run_diag(parameter: MPpartitionParameter) -> MPpartitionParameter: ) if run_type == "model-vs-model": - ref_data = utils.dataset.Dataset(parameter, ref=True) + ref_data = Dataset(parameter, data_type="ref") + ref_data_path = parameter.reference_data_path start_year = parameter.ref_start_yr end_year = parameter.ref_end_yr @@ -162,9 +165,7 @@ def run_diag(parameter: MPpartitionParameter) -> MPpartitionParameter: # cliq = ref_data.get_timeseries_variable("CLDLIQ")( # cdutil.region.domain(latitude=(-70.0, -30, "ccb")) # ) - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) + parameter.ref_name_yrs = ref_data.get_name_yrs_attr(season) # type: ignore metrics_dict["ref"] = {} metrics_dict["ref"]["T"], metrics_dict["ref"]["LCF"] = compute_lcf( cice, cliq, temp, landfrac diff --git a/e3sm_diags/plot/cartopy/mp_partition_plot.py b/e3sm_diags/plot/mp_partition_plot.py similarity index 100% rename from e3sm_diags/plot/cartopy/mp_partition_plot.py rename to e3sm_diags/plot/mp_partition_plot.py From 43d2df772bfe08d9e17e218e2c9574b7e276b782 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Mon, 4 Nov 2024 11:26:36 -0800 Subject: [PATCH 37/41] CDAT Migration - Port JJB tropical subseasonal diags to Xarray/xCDAT (#887) --- .../886-jjb/regression_test_netcdf.ipynb | 480 ++++++++++++++++++ .../886-jjb/regression_test_png.ipynb | 240 +++++++++ .../886-jjb/run_script.py | 25 + .../driver/tropical_subseasonal_driver.py | 25 +- .../tropical_subseasonal_plot.py | 0 5 files changed, 756 insertions(+), 14 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_netcdf.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_png.ipynb create mode 100644 auxiliary_tools/cdat_regression_testing/886-jjb/run_script.py rename e3sm_diags/plot/{cartopy => }/tropical_subseasonal_plot.py (100%) diff --git a/auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_netcdf.ipynb b/auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_netcdf.ipynb new file mode 100644 index 000000000..8ad14d6e4 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_netcdf.ipynb @@ -0,0 +1,480 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.nc` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How it works\n", + "\n", + "It compares the relative differences (%) between ref and test variables between\n", + "the dev and `main` branches.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n", + "6. Review results for any outstanding differences (>=1e-5 relative tolerance).\n", + " - Debug these differences (e.g., bug in metrics functions, incorrect variable references, etc.)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "\n", + "import numpy as np\n", + "import xarray as xr\n", + "from e3sm_diags.derivations.derivations import DERIVED_VARIABLES\n", + "\n", + "\n", + "# TODO: Update SET_NAME and SET_DIR\n", + "SET_NAME = \"tropical_subseasonal\"\n", + "SET_DIR = \"886-jjb\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/wavenumber-frequency/\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.nc\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/{SET_NAME}/wavenumber-frequency/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.nc\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def _get_relative_diffs():\n", + " # We are mainly focusing on relative tolerance here (in percentage terms).\n", + " atol = 0\n", + " rtol = 1e-5\n", + "\n", + " for fp_main in MAIN_GLOB:\n", + " fp_dev = fp_main.replace(\"main\", SET_DIR)\n", + "\n", + " print(\"Comparing:\")\n", + " print(f\" * {fp_dev}\")\n", + " print(f\" * {fp_main}\")\n", + "\n", + " ds1 = xr.open_dataset(fp_dev)\n", + " ds2 = xr.open_dataset(fp_main)\n", + "\n", + " try:\n", + " xr.testing.assert_allclose(\n", + " ds1,\n", + " ds2,\n", + " atol=atol,\n", + " rtol=rtol,\n", + " )\n", + " except (KeyError, AssertionError) as e:\n", + " print(f\" {e}\")\n", + " else:\n", + " print(f\" * All close and within relative tolerance ({rtol})\")\n", + "\n", + "\n", + "def _get_var_data(ds: xr.Dataset, var_key: str) -> np.ndarray:\n", + " \"\"\"Get the variable data using a list of matching keys.\n", + "\n", + " The `main` branch saves the dataset using the original variable name,\n", + " while the dev branch saves the variable with the derived variable name.\n", + " The dev branch is performing the expected behavior here.\n", + "\n", + " Parameters\n", + " ----------\n", + " ds : xr.Dataset\n", + " _description_\n", + " var_key : str\n", + " _description_\n", + "\n", + " Returns\n", + " -------\n", + " np.ndarray\n", + " _description_\n", + " \"\"\"\n", + "\n", + " data = None\n", + "\n", + " var_keys = DERIVED_VARIABLES[var_key].keys()\n", + " var_keys = [var_key] + list(sum(var_keys, ()))\n", + "\n", + " for key in var_keys:\n", + " if key in ds.data_vars.keys():\n", + " data = ds[key].values\n", + " break\n", + "\n", + " return data" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (63 and 63).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the netCDF files between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S_0.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S_0.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S_1.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S_1.nc\n", + " * All close and within relative tolerance (1e-05)\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S_2.nc\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S_2.nc\n", + " * All close and within relative tolerance (1e-05)\n" + ] + } + ], + "source": [ + "_get_relative_diffs()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All files are within rtol 1e-5, so the changes should be good to go.\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_png.ipynb b/auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_png.ipynb new file mode 100644 index 000000000..b06ebbe19 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/886-jjb/regression_test_png.ipynb @@ -0,0 +1,240 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CDAT Migration Regression Testing Notebook (`.png` files)\n", + "\n", + "This notebook is used to perform regression testing between the development and\n", + "production versions of a diagnostic set.\n", + "\n", + "## How to use\n", + "\n", + "PREREQUISITE: The diagnostic set's netCDF stored in `.json` files in two directories\n", + "(dev and `main` branches).\n", + "\n", + "1. Make a copy of this notebook under `auxiliary_tools/cdat_regression_testing/`.\n", + "2. Run `mamba create -n cdat_regression_test -y -c conda-forge \"python<3.12\" xarray netcdf4 dask pandas matplotlib-base ipykernel`\n", + "3. Run `mamba activate cdat_regression_test`\n", + "4. Update `SET_DIR` and `SET_NAME` in the copy of your notebook.\n", + "5. Run all cells IN ORDER.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Setup Code\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import glob\n", + "from auxiliary_tools.cdat_regression_testing.utils import get_image_diffs\n", + "\n", + "\n", + "SET_NAME = \"tropical_subseasonal\"\n", + "SET_DIR = \"886-jjb\"\n", + "\n", + "DEV_PATH = f\"/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/{SET_DIR}/{SET_NAME}/wavenumber-frequency/\"\n", + "DEV_GLOB = sorted(glob.glob(DEV_PATH + \"/*.png\"))\n", + "DEV_NUM_FILES = len(DEV_GLOB)\n", + "\n", + "MAIN_PATH = f\"/global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/{SET_NAME}/wavenumber-frequency/\"\n", + "MAIN_GLOB = sorted(glob.glob(MAIN_PATH + \"/*.png\"))\n", + "MAIN_NUM_FILES = len(MAIN_GLOB)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def _check_if_matching_filecount():\n", + " if DEV_NUM_FILES != MAIN_NUM_FILES:\n", + " raise IOError(\n", + " \"Number of files do not match at DEV_PATH and MAIN_PATH \"\n", + " f\"({DEV_NUM_FILES} vs. {MAIN_NUM_FILES}).\"\n", + " )\n", + "\n", + " print(f\"Matching file count ({DEV_NUM_FILES} and {MAIN_NUM_FILES}).\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Check for matching and equal number of files\n" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Matching file count (21 and 21).\n" + ] + } + ], + "source": [ + "_check_if_matching_filecount()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2 Compare the plots between branches\n", + "\n", + "- Compare \"ref\" and \"test\" files\n", + "- \"diff\" files are ignored because getting relative diffs for these does not make sense (relative diff will be above tolerance)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_background_15N-15S.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/FLUT_norm_asy_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_norm_asy_zoom_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/FLUT_norm_asy_zoom_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/FLUT_norm_sym_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_norm_sym_zoom_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/FLUT_norm_sym_zoom_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_raw_asy_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/FLUT_raw_asy_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/FLUT_raw_sym_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/FLUT_raw_sym_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_background_15N-15S.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/PRECT_norm_asy_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_norm_asy_zoom_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/PRECT_norm_asy_zoom_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/PRECT_norm_sym_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_norm_sym_zoom_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/PRECT_norm_sym_zoom_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_raw_asy_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/PRECT_raw_asy_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/PRECT_raw_sym_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/PRECT_raw_sym_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_background_15N-15S.png\n", + " * Plots are identical\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/U850_norm_asy_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_norm_asy_zoom_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/U850_norm_asy_zoom_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/U850_norm_sym_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_norm_sym_zoom_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/U850_norm_sym_zoom_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_raw_asy_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/U850_raw_asy_15N-15S.png\n", + "Comparing:\n", + " * /global/cfs/cdirs/e3sm/www/chengzhu/tests/tropical_diags_subsetting/tropical_variability_model_obs_refine/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S.png\n", + " * /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency/U850_raw_sym_15N-15S.png\n", + " * Difference path /global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb/tropical_subseasonal/wavenumber-frequency_diff/U850_raw_sym_15N-15S.png\n" + ] + } + ], + "source": [ + "for main_path, dev_path in zip(MAIN_GLOB, DEV_GLOB):\n", + " print(\"Comparing:\")\n", + " print(f\" * {main_path}\")\n", + " print(f\" * {dev_path}\")\n", + "\n", + " get_image_diffs(dev_path, main_path)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Results\n", + "\n", + "All plots are virtually identical, only diff is a red outline around plots (positioning\n", + "diff probably due to different matplotlib version).\n" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/auxiliary_tools/cdat_regression_testing/886-jjb/run_script.py b/auxiliary_tools/cdat_regression_testing/886-jjb/run_script.py new file mode 100644 index 000000000..14570aaf7 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/886-jjb/run_script.py @@ -0,0 +1,25 @@ +import os +from e3sm_diags.parameter.tropical_subseasonal_parameter import ( + TropicalSubseasonalParameter, +) +from e3sm_diags.run import runner + +param = TropicalSubseasonalParameter() + +param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/e3sm_diags/obs_for_e3sm_diags/time-series" +) +# param.reference_data_path = '/global/cfs/cdirs/e3sm/chengzhu/e3sm_diags_zppy_test_complete_run_output/v2.LR.historical_0101_20240130/post/atm/180x360_aave/ts/daily/15yr' +param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/e3sm_diags_zppy_test_complete_run_output/v2.LR.historical_0101_20240130/post/atm/180x360_aave/ts/daily/15yr" +param.test_name = "E3SMv2" +param.results_dir = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24/886-jjb" +# param.run_type = "model_vs_model" +# param.ref_name = 'E3SMv2' +param.test_start_yr = "2000" +param.test_end_yr = "2000" +param.ref_start_yr = "2001" +param.ref_end_yr = "2001" +param.save_netcdf = True + +runner.sets_to_run = ["tropical_subseasonal"] +runner.run_diags([param]) diff --git a/e3sm_diags/driver/tropical_subseasonal_driver.py b/e3sm_diags/driver/tropical_subseasonal_driver.py index f2c6e1bc1..acea8d54d 100644 --- a/e3sm_diags/driver/tropical_subseasonal_driver.py +++ b/e3sm_diags/driver/tropical_subseasonal_driver.py @@ -14,10 +14,11 @@ import numpy as np import xarray as xr -from e3sm_diags.driver import utils from e3sm_diags.driver.utils import zwf_functions as wf +from e3sm_diags.driver.utils.climo_xr import ClimoFreq +from e3sm_diags.driver.utils.dataset_xr import Dataset from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy.tropical_subseasonal_plot import plot +from e3sm_diags.plot.tropical_subseasonal_plot import plot if TYPE_CHECKING: from e3sm_diags.parameter.tropical_subseasonal_parameter import ( @@ -38,11 +39,11 @@ def run_diag(parameter: TropicalSubseasonalParameter) -> TropicalSubseasonalPara :rtype: CoreParameter """ run_type = parameter.run_type - season = "ANN" + season: ClimoFreq = "ANN" - test_data = utils.dataset.Dataset(parameter, test=True) + test_data = Dataset(parameter, data_type="test") + ref_data = Dataset(parameter, data_type="ref") - ref_data = utils.dataset.Dataset(parameter, ref=True) for variable in parameter.variables: test, test_start, test_end = calculate_spectrum( parameter.test_data_path, @@ -52,9 +53,7 @@ def run_diag(parameter: TropicalSubseasonalParameter) -> TropicalSubseasonalPara ) parameter.test_start_yr = test_start parameter.test_end_yr = test_end - parameter.test_name_yrs = utils.general.get_name_and_yrs( - parameter, test_data, season - ) + parameter.test_name_yrs = test_data.get_name_yrs_attr(season) if run_type == "model_vs_model": ref, ref_start, ref_end = calculate_spectrum( parameter.reference_data_path, @@ -77,13 +76,9 @@ def run_diag(parameter: TropicalSubseasonalParameter) -> TropicalSubseasonalPara ) parameter.ref_start_yr = ref_start parameter.ref_end_yr = ref_end - parameter.ref_name_yrs = utils.general.get_name_and_yrs( - parameter, ref_data, season - ) - # test = xr.open_dataset(f"{parameter.results_dir}/full_spec_test.nc").load() - # ref = xr.open_dataset(f"{parameter.results_dir}/full_spec_ref_{parameter.ref_name}.nc").load() - + parameter.ref_name_yrs = ref_data.get_name_yrs_attr(season) parameter.var_id = variable + for diff_name in ["raw_sym", "raw_asy", "norm_sym", "norm_asy", "background"]: diff = ( 100 @@ -92,10 +87,12 @@ def run_diag(parameter: TropicalSubseasonalParameter) -> TropicalSubseasonalPara ) diff.name = f"spec_{diff_name}" diff.attrs.update(test[f"spec_{diff_name}"].attrs) + parameter.spec_type = diff_name parameter.output_file = f"{parameter.var_id}_{parameter.spec_type}_15N-15S" parameter.diff_title = "percent difference" plot(parameter, test[f"spec_{diff_name}"], ref[f"spec_{diff_name}"], diff) + if "norm" in diff_name: parameter.spec_type = f"{diff_name}_zoom" parameter.output_file = ( diff --git a/e3sm_diags/plot/cartopy/tropical_subseasonal_plot.py b/e3sm_diags/plot/tropical_subseasonal_plot.py similarity index 100% rename from e3sm_diags/plot/cartopy/tropical_subseasonal_plot.py rename to e3sm_diags/plot/tropical_subseasonal_plot.py From 3406bf28ec9ff9154688a67b4f1c736f3e179bc7 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Tue, 5 Nov 2024 15:52:27 -0800 Subject: [PATCH 38/41] CDAT Migration: Prepare branch for merge to `main` (#885) --- auxiliary_tools/aerosol_budget.py | 131 +- .../tropical_subseasonal_driver.py | 2 + conda-env/ci.yml | 4 +- conda-env/dev-nompi.yml | 59 - conda-env/dev.yml | 4 +- docs/source/available-parameters.rst | 17 +- .../dev_guide/adding-new-diags-sets.rst | 186 +- docs/source/install.rst | 2 +- e3sm_diags/derivations/acme.py | 2551 ----------------- e3sm_diags/derivations/default_regions.py | 187 -- e3sm_diags/derivations/utils.py | 8 +- e3sm_diags/driver/aerosol_budget_driver.py | 4 +- .../driver/area_mean_time_series_driver.py | 8 +- e3sm_diags/driver/utils/__init__.py | 1 - e3sm_diags/driver/utils/climo.py | 111 - e3sm_diags/driver/utils/dataset.py | 720 ----- e3sm_diags/driver/utils/diurnal_cycle.py | 217 -- e3sm_diags/driver/utils/general.py | 343 +-- e3sm_diags/e3sm_diags_vars.py | 132 - e3sm_diags/metrics/__init__.py | 50 - e3sm_diags/plot/__init__.py | 97 - .../plot/annual_cycle_zonal_mean_plot.py | 2 +- .../area_mean_time_series_plot.py | 0 e3sm_diags/plot/arm_diags_plot.py | 8 +- e3sm_diags/plot/cartopy/__init__.py | 0 e3sm_diags/plot/cartopy/arm_diags_plot.py | 648 ----- e3sm_diags/plot/cartopy/qbo_plot.py | 296 -- e3sm_diags/plot/cartopy/tc_analysis_plot.py | 351 --- e3sm_diags/plot/cosp_histogram_plot.py | 9 +- e3sm_diags/plot/enso_diags_plot.py | 2 +- e3sm_diags/plot/lat_lon_plot.py | 2 +- e3sm_diags/plot/meridional_mean_2d_plot.py | 2 +- e3sm_diags/plot/mp_partition_plot.py | 4 +- e3sm_diags/plot/polar_plot.py | 2 +- .../plot/{cartopy => }/taylor_diagram.py | 0 e3sm_diags/plot/tc_analysis_plot.py | 12 +- e3sm_diags/plot/tropical_subseasonal_plot.py | 10 +- e3sm_diags/plot/utils.py | 63 +- e3sm_diags/plot/zonal_mean_2d_plot.py | 2 +- e3sm_diags/viewer/lat_lon_viewer.py | 2 +- tests/e3sm_diags/derivations/test_acme.py | 141 - tests/integration/test_dataset.py | 198 -- 42 files changed, 198 insertions(+), 6390 deletions(-) delete mode 100644 conda-env/dev-nompi.yml delete mode 100644 e3sm_diags/derivations/acme.py delete mode 100644 e3sm_diags/derivations/default_regions.py delete mode 100644 e3sm_diags/driver/utils/climo.py delete mode 100644 e3sm_diags/driver/utils/dataset.py delete mode 100644 e3sm_diags/driver/utils/diurnal_cycle.py delete mode 100644 e3sm_diags/e3sm_diags_vars.py delete mode 100644 e3sm_diags/metrics/__init__.py rename e3sm_diags/plot/{cartopy => }/area_mean_time_series_plot.py (100%) delete mode 100644 e3sm_diags/plot/cartopy/__init__.py delete mode 100644 e3sm_diags/plot/cartopy/arm_diags_plot.py delete mode 100644 e3sm_diags/plot/cartopy/qbo_plot.py delete mode 100644 e3sm_diags/plot/cartopy/tc_analysis_plot.py rename e3sm_diags/plot/{cartopy => }/taylor_diagram.py (100%) delete mode 100644 tests/e3sm_diags/derivations/test_acme.py delete mode 100644 tests/integration/test_dataset.py diff --git a/auxiliary_tools/aerosol_budget.py b/auxiliary_tools/aerosol_budget.py index db59c5cb0..8a5c04c2a 100644 --- a/auxiliary_tools/aerosol_budget.py +++ b/auxiliary_tools/aerosol_budget.py @@ -1,3 +1,5 @@ +# NOTE: This module uses the deprecated e3sm_diags.driver.utils.dataset.Dataset +# class, which was replaced by e3sm_diags.driver.utils.dataset_xr.Dataset. import e3sm_diags from e3sm_diags.driver import utils import cdms2 @@ -12,11 +14,12 @@ def global_integral(var, area_m2): - """ Compute global integral of 2 dimentional properties""" - return numpy.sum(numpy.sum(abs(var)*area_m2,axis = 0), axis=0) + """Compute global integral of 2 dimentional properties""" + return numpy.sum(numpy.sum(abs(var) * area_m2, axis=0), axis=0) + def calc_column_integral(data, aerosol, season): - """ Calculate column integrated mass """ + """Calculate column integrated mass""" # take aerosol and change it to the appropriate string # ncl -> SEASALT, dst -> DUST, rest1 -> REST1 @@ -32,76 +35,80 @@ def calc_column_integral(data, aerosol, season): burden = data.get_climo_variable(f"ABURDEN{aerosol_name}", season) except RuntimeError: # if not, use the Mass_ terms and integrate over the column - mass = data.get_climo_variable(f'Mass_{aerosol}', season) + mass = data.get_climo_variable(f"Mass_{aerosol}", season) hyai, hybi, ps = data.get_extra_variables_only( - f'Mass_{aerosol}', season, extra_vars=["hyai", "hybi", "PS"] + f"Mass_{aerosol}", season, extra_vars=["hyai", "hybi", "PS"] ) p0 = 100000.0 # Pa - ps = ps # Pa - pressure_levs = cdutil.vertical.reconstructPressureFromHybrid(ps, hyai, hybi, p0) + ps = ps # Pa + pressure_levs = cdutil.vertical.reconstructPressureFromHybrid( + ps, hyai, hybi, p0 + ) - #(72,lat,lon) - delta_p = numpy.diff(pressure_levs,axis = 0) - mass_3d = mass*delta_p/9.8 #mass density * mass air kg/m2 - burden = numpy.nansum(mass_3d,axis = 0) #kg/m2 + # (72,lat,lon) + delta_p = numpy.diff(pressure_levs, axis=0) + mass_3d = mass * delta_p / 9.8 # mass density * mass air kg/m2 + burden = numpy.nansum(mass_3d, axis=0) # kg/m2 return burden - + + def generate_metrics_dic(data, aerosol, season): metrics_dict = {} - wetdep = data.get_climo_variable(f'{aerosol}_SFWET', season) - drydep = data.get_climo_variable(f'{aerosol}_DDF', season) - srfemis = data.get_climo_variable(f'SF{aerosol}', season) - area = data.get_extra_variables_only( - f'{aerosol}_DDF', season, extra_vars=["area"] - ) + wetdep = data.get_climo_variable(f"{aerosol}_SFWET", season) + drydep = data.get_climo_variable(f"{aerosol}_DDF", season) + srfemis = data.get_climo_variable(f"SF{aerosol}", season) + area = data.get_extra_variables_only(f"{aerosol}_DDF", season, extra_vars=["area"]) area_m2 = area * REARTH**2 burden = calc_column_integral(data, aerosol, season) - burden_total= global_integral(burden, area_m2)*1e-9 # kg to Tg - print(f'{aerosol} Burden (Tg): ',f'{burden_total:.3f}') - sink = global_integral((drydep-wetdep),area_m2)*UNITS_CONV - drydep = global_integral(drydep,area_m2)*UNITS_CONV - wetdep = global_integral(wetdep,area_m2)*UNITS_CONV - srfemis = global_integral(srfemis,area_m2)*UNITS_CONV - print(f'{aerosol} Sink (Tg/year): ',f'{sink:.3f}') - print(f'{aerosol} Lifetime (days): ',f'{burden_total/sink*365:.3f}') + burden_total = global_integral(burden, area_m2) * 1e-9 # kg to Tg + print(f"{aerosol} Burden (Tg): ", f"{burden_total:.3f}") + sink = global_integral((drydep - wetdep), area_m2) * UNITS_CONV + drydep = global_integral(drydep, area_m2) * UNITS_CONV + wetdep = global_integral(wetdep, area_m2) * UNITS_CONV + srfemis = global_integral(srfemis, area_m2) * UNITS_CONV + print(f"{aerosol} Sink (Tg/year): ", f"{sink:.3f}") + print(f"{aerosol} Lifetime (days): ", f"{burden_total/sink*365:.3f}") metrics_dict = { - "Surface Emission (Tg/yr)": f'{srfemis:.3f}', - "Sink (Tg/yr)": f'{sink:.3f}', - "Dry Deposition (Tg/yr)": f'{drydep:.3f}', - "Wet Deposition (Tg/yr)": f'{wetdep:.3f}', - "Burden (Tg)": f'{burden_total:.3f}', - "Lifetime (Days)": f'{burden_total/sink*365:.3f}', + "Surface Emission (Tg/yr)": f"{srfemis:.3f}", + "Sink (Tg/yr)": f"{sink:.3f}", + "Dry Deposition (Tg/yr)": f"{drydep:.3f}", + "Wet Deposition (Tg/yr)": f"{wetdep:.3f}", + "Burden (Tg)": f"{burden_total:.3f}", + "Lifetime (Days)": f"{burden_total/sink*365:.3f}", } return metrics_dict + param = CoreParameter() -param.test_name = 'v2.LR.historical_0101' -param.test_name = 'F2010.PD.NGD_v3atm.0096484.compy' -param.test_data_path = '/Users/zhang40/Documents/ACME_simulations/' -param.test_data_path = '/compyfs/mahf708/E3SMv3_dev/F2010.PD.NGD_v3atm.0096484.compy/post/atm/180x360_aave/clim/10yr' +param.test_name = "v2.LR.historical_0101" +param.test_name = "F2010.PD.NGD_v3atm.0096484.compy" +param.test_data_path = "/Users/zhang40/Documents/ACME_simulations/" +param.test_data_path = "/compyfs/mahf708/E3SMv3_dev/F2010.PD.NGD_v3atm.0096484.compy/post/atm/180x360_aave/clim/10yr" test_data = utils.dataset.Dataset(param, test=True) -#rearth = 6.37122e6 #km -#UNITS_CONV = 86400.0*365.0*1e-9 # kg/s to Tg/yr -REARTH = 6.37122e6 #km -UNITS_CONV = 86400.0*365.0*1e-9 # kg/s to Tg/yr +# rearth = 6.37122e6 #km +# UNITS_CONV = 86400.0*365.0*1e-9 # kg/s to Tg/yr +REARTH = 6.37122e6 # km +UNITS_CONV = 86400.0 * 365.0 * 1e-9 # kg/s to Tg/yr # TODO: # Convert so4 unit to TgS -#mwso4 = 115.0 -#mws = 32.066 -#UNITS_CONV_S = UNITS_CONV/mwso4*mws # kg/s to TgS/yr +# mwso4 = 115.0 +# mws = 32.066 +# UNITS_CONV_S = UNITS_CONV/mwso4*mws # kg/s to TgS/yr -species = ["bc", "dst", "mom", "ncl","pom","so4","soa"] -SPECIES_NAMES = {"bc": "Black Carbon", +species = ["bc", "dst", "mom", "ncl", "pom", "so4", "soa"] +SPECIES_NAMES = { + "bc": "Black Carbon", "dst": "Dust", "mom": "Marine Organic Matter", "ncl": "Sea Salt", "pom": "Primary Organic Matter", "so4": "Sulfate", - "soa": "Secondary Organic Aerosol"} + "soa": "Secondary Organic Aerosol", +} MISSING_VALUE = 999.999 metrics_dict = {} metrics_dict_ref = {} @@ -109,22 +116,22 @@ def generate_metrics_dic(data, aerosol, season): seasons = ["ANN"] ref_data_path = os.path.join( - e3sm_diags.INSTALL_PATH, - "control_runs", - "aerosol_global_metrics_benchmarks.json", - ) + e3sm_diags.INSTALL_PATH, + "control_runs", + "aerosol_global_metrics_benchmarks.json", +) -with open(ref_data_path, 'r') as myfile: - ref_file=myfile.read() +with open(ref_data_path, "r") as myfile: + ref_file = myfile.read() metrics_ref = json.loads(ref_file) for season in seasons: for aerosol in species: - print(f'Aerosol species: {aerosol}') + print(f"Aerosol species: {aerosol}") metrics_dict[aerosol] = generate_metrics_dic(test_data, aerosol, season) metrics_dict_ref[aerosol] = metrics_ref[aerosol] - #metrics_dict_ref[aerosol] = { + # metrics_dict_ref[aerosol] = { # "Surface Emission (Tg/yr)": f'{MISSING_VALUE:.3f}', # "Sink (Tg/yr)": f'{MISSING_VALUE:.3f}', # "Dry Deposition (Tg/yr)": f'{MISSING_VALUE:.3f}', @@ -132,29 +139,25 @@ def generate_metrics_dic(data, aerosol, season): # "Burden (Tg)": f'{MISSING_VALUE:.3f}', # "Lifetime (Days)": f'{MISSING_VALUE:.3f}', # } - - with open(f'aerosol_table_{season}.csv', "w") as table_csv: + + with open(f"aerosol_table_{season}.csv", "w") as table_csv: writer = csv.writer( table_csv, delimiter=",", quotechar="'", quoting=csv.QUOTE_MINIMAL, - lineterminator='\n', + lineterminator="\n", ) - #writer.writerow([" ", "test","ref",]) + # writer.writerow([" ", "test","ref",]) for key, values in metrics_dict.items(): writer.writerow([SPECIES_NAMES[key]]) - print('key',key, values) + print("key", key, values) for value in values: print(value) line = [] line.append(value) line.append(values[value]) line.append(metrics_dict_ref[key][value]) - print(line, 'line') + print(line, "line") writer.writerows([line]) writer.writerows([""]) - - - - diff --git a/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py b/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py index c2aa5854c..1bcadd3ec 100755 --- a/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py +++ b/auxiliary_tools/tropical_subseasonal_diags/tropical_subseasonal_driver.py @@ -1,3 +1,5 @@ +# NOTE: This module uses the deprecated e3sm_diags.driver.utils.dataset.Dataset +# class, which was replaced by e3sm_diags.driver.utils.dataset_xr.Dataset. from __future__ import annotations import glob diff --git a/conda-env/ci.yml b/conda-env/ci.yml index 9c2de5536..463ca0b35 100644 --- a/conda-env/ci.yml +++ b/conda-env/ci.yml @@ -13,11 +13,9 @@ dependencies: - beautifulsoup4 - cartopy >=0.17.0 - cartopy_offlinedata - - cdms2 3.1.5 - - cdutil 8.2.1 + - cf-units - dask - esmpy >=8.4.0 - - genutil 8.2.1 - lxml - mache >=0.15.0 - matplotlib-base diff --git a/conda-env/dev-nompi.yml b/conda-env/dev-nompi.yml deleted file mode 100644 index 2db6600e0..000000000 --- a/conda-env/dev-nompi.yml +++ /dev/null @@ -1,59 +0,0 @@ -# Conda development environment for testing local source code changes to `e3sm_diags` before merging them to production (`master` branch). -# This version contains the no MPI version of `esmf` as a workaround for allowing VS Code's testing API to work. -# The MPI version of `esmf` is usually installed by default, but it breaks VS Code's testing API because it throws a mysterious -# `yaksa` warning. -# More info: https://github.com/E3SM-Project/e3sm_diags/issues/737 -name: e3sm_diags_dev_nompi -channels: - - conda-forge - - defaults -dependencies: - # Base - # ================= - - python >=3.9 - - pip - - beautifulsoup4 - - cartopy >=0.17.0 - - cartopy_offlinedata - - cdms2 3.1.5 - - cdutil 8.2.1 - - dask - - esmf >=8.4.0 nompi* - - esmpy >=8.4.0 - - genutil 8.2.1 - - lxml - - mache >=0.15.0 - - matplotlib-base - - netcdf4 - - output_viewer >=1.3.0 - - numpy >=1.23.0 - - shapely >=2.0.0,<3.0.0 - - xarray >=2023.02.0 - - xcdat >=0.6.0 - - xesmf >=0.7.0 - - xskillscore >=0.0.20 - # Testing - # ======================= - - scipy - - pytest - - pytest-cov - # Documentation - # ======================= - - sphinx - - sphinx_rtd_theme - - sphinx-multiversion - # Quality Assurance Tools - # ======================= - # Run `pre-commit autoupdate` to get the latest pinned versions of 'rev' in - # `.pre-commit.config.yaml`, then update the pinned versions here. - - black=23.9.1 - - flake8=6.1.0 - - flake8-isort=6.1.0 - - isort=5.12.0 - - mypy=1.5.1 - - pre-commit >=3.0.0 - - types-PyYAML >=6.0.0 - # Developer Tools - # ======================= - - tbump=6.9.0 - - ipykernel diff --git a/conda-env/dev.yml b/conda-env/dev.yml index 69061fb20..34e7b4a7b 100644 --- a/conda-env/dev.yml +++ b/conda-env/dev.yml @@ -11,11 +11,9 @@ dependencies: - beautifulsoup4 - cartopy >=0.17.0 - cartopy_offlinedata - - cdms2 3.1.5 - - cdutil 8.2.1 + - cf-units - dask - esmpy >=8.4.0 - - genutil 8.2.1 - lxml - mache >=0.15.0 - matplotlib-base diff --git a/docs/source/available-parameters.rst b/docs/source/available-parameters.rst index 18d141f9b..b8aaf4a27 100644 --- a/docs/source/available-parameters.rst +++ b/docs/source/available-parameters.rst @@ -67,15 +67,19 @@ functionality of the diagnostics. See `default_regions.py `__ for a list of possible regions. Ex: ``regions=["global", "TROPICS"]``. -- **regrid_method**: What regird method of the regrid tool to use. +- **regrid_method**: What grid method of the regrid tool to use. Possible values are ``'linear'`` or ``'conservative'``. Default is ``'conservative'``. - Read the CDMS documentation for more information. + Read the xCDAT documentation on `regridding`_ for more information. - **regrid_tool**: The regrid tool to use. Default is ``'esmf'``. + Read the xCDAT documentation on `regridding`_ for more information. - **seasons**: A list of season to use. Default is annual and all seasons: ``['ANN', 'DJF', 'MAM', 'JJA', 'SON']``. - **sets**: A list of the sets to be run. Default is all sets: ``['zonal_mean_xy', 'zonal_mean_2d', 'meridional_mean_2d', 'lat_lon', 'polar', 'area_mean_time_series', 'cosp_histogram', 'enso_diags', 'qbo', 'streamflow','diurnal_cycle']``. - **variables**: What variable(s) to use for this run. Ex: ``variables=["T", "PRECT"]``. +.. _regridding: https://xcdat.readthedocs.io/en/latest/getting-started-guide/faqs.html#regridding + + Parameters for plotting ~~~~~~~~~~~~~~~~~~~~~~~ @@ -267,12 +271,3 @@ Other parameters - **selectors**: Default is ``['sets', 'seasons']``. See :ref:`Using the selectors parameter `. - **viewer_descr**: Used to specify values in the viewer. Default ``{}``. - **fail_on_incomplete**: Exit status will reflect failure if any parameter fails to complete. Default is ``False`` (e.g., a failing parameter will not create a failing exit code). - -Deprecated parameters -~~~~~~~~~~~~~~~~~~~~~ -- **canvas_size_h**: Height of the image in pixels and only used by - vcs. Is ``1628`` by default. -- **canvas_size_w**: Width of the image in pixels and only used by - vcs. Is ``1212`` by default. -- **logo**: ``True`` (default value) to show the UV-CDAT logo on - the vcs backend, ``False`` to not. Just keep it on please. diff --git a/docs/source/dev_guide/adding-new-diags-sets.rst b/docs/source/dev_guide/adding-new-diags-sets.rst index fe047309c..e154fac18 100644 --- a/docs/source/dev_guide/adding-new-diags-sets.rst +++ b/docs/source/dev_guide/adding-new-diags-sets.rst @@ -61,7 +61,7 @@ Adding In The Parameters All of diagnostics sets in ``e3sm_diags`` share a set of core parameters, which can be changed during runtime. The **default values** for these parameters are defined in the -`e3sm_diags/parameter/core_parameter.py `_ +`e3sm_diags/parameter/core_parameter.py `_ folder. :doc:`On the documentation website, there is more information explaining what each one does <../available-parameters>`. @@ -156,7 +156,7 @@ Please read the comments. Adding In The Parser ^^^^^^^^^^^^^^^^^^^^ -Notice that in the `e3sm_diags/parameter `_ +Notice that in the `e3sm_diags/parameter `_ folder, we have the following: * ``core_parameter.py``, where ``CoreParameter`` is located. @@ -255,7 +255,7 @@ Adding In The Driver The driver is the main code which takes in a single Parameter object and does the diagnostics. For each plotset, its corresponding driver is located in the -`e3sm_diags/driver `_ +`e3sm_diags/driver `_ folder. Please refer to these existing drivers, and if you need help creating your driver, create a Github issue. @@ -268,19 +268,19 @@ However, to get a variable based on the user's parameters (``reference_data_path using the ``Dataset`` class is **highly recommended**. * The ``diff_diags_driver.py`` below uses it. -* It's located in `e3sm_diags/driver/utils/dataset.py `_. +* It's located in `e3sm_diags/driver/utils/dataset_xr.py `_. * With only two lines of code, here's how you get the variable PRECT from the test data with ANN climatology ran on it. .. code:: python - test_data = utils.dataset.Dataset(parameter, test=True) - prect_climo = test_data.get_climo_variable('PRECT', 'ANN') + test_data = Dataset(parameter, data_type="test") + prect_climo = test_data.get_climo_dataset('PRECT', 'ANN') * You can also get time-series data as well: .. code:: python - test_data = utils.dataset.Dataset(parameter, test=True) - prect_time_series = test_data.get_timeseries_variable('PRECT') + test_data = Dataset(parameter, data_type="ref") + prect_time_series = test_data.get_time_series_dataset('PRECT') In ``e3sm_diags/driver``, create a file called ``diff_diags_driver.py``. **Each Driver must have a** ``run_diags()`` **function which takes in a single Parameters object.** @@ -288,22 +288,21 @@ In ``e3sm_diags/driver``, create a file called ``diff_diags_driver.py``. .. code:: python - from e3sm_diags.driver import utils - from e3sm_diags.metrics import min_cdms, max_cdms, mean - # The below will be defined in a future section. - from e3sm_diags.plot.cartopy import diff_diags_plot + from e3sm_diags.driver.utils.dataset_xr import Dataset + from e3sm_diags.driver.utils.regrid import align_grids_to_lower_res + from e3sm_diags.metrics.metrics import spatial_avg def run_diag(parameter): variables = parameter.variables seasons = parameter.seasons - test_data = utils.dataset.Dataset(parameter, test=True) - ref_data = utils.dataset.Dataset(parameter, ref=True) + test_data = Dataset(parameter, data_type="test") + ref_data = Dataset(parameter, data_type="ref") for season in seasons: for var in variables: - test_var = test_data.get_climo_variable(var, season) - ref_var = ref_data.get_climo_variable(var, season) + test_var = test_data.get_climo_dataset(var, season) + ref_var = ref_data.get_climo_dataset(var, season) # Only needed because our viewer (the final step) # displays this data. @@ -312,33 +311,29 @@ In ``e3sm_diags/driver``, create a file called ``diff_diags_driver.py``. # Regrid towards the lower resolution of the two # variables for calculating the difference. # The regrid_tool and regrid_method have default values. - test_var_reg, ref_var_reg = utils.general.regrid_to_lower_res( - test_var, ref_var, parameter.regrid_tool, parameter.regrid_method) + test_var_reg, ref_var_reg = align_grids_to_lower_res( + test_data, ref_data, var, parameter.regrid_tool, parameter.regrid_method) diff = test_var_reg - ref_var_reg # We want to compute some metrics to plot as well. metrics = { - 'min': float(min_cdms(diff)), - 'max': float(max_cdms(diff)), - 'mean': float(mean(diff)) + 'min': diff.min().item(), + 'max': diff.max().item(), + 'mean': spatial_avg(diff, var)) } - # This part will be defined in a forthcoming section. - diff_diags_plot.plot(diff, var, season, metrics, parameter) - # Don't forget this. return parameter - Adding In The Config File For The Default Diagnostics ------------------------------------------------------------ When the user selects a certain number of plotsets to run, their parameters are combined with default parameters for that plot set. These are defined in -`e3sm_diags/driver/default_diags/ `_. +`e3sm_diags/driver/default_diags/ `_. For the each plotset, we have two default files, one for ``model_vs_model`` runs and one for ``model_vs_obs`` runs. The type of file used is determined by the ``run_type`` parameter in ``CoreParameter``, which is ``'model_vs_obs'`` by default. @@ -383,13 +378,13 @@ Adding In Derived Variables This part only needs to be done if new variables are added for you new plotset. A set of variables are defined in e3sm_diags in -`e3sm_diags/derivations/acme.py `_. +`e3sm_diags/derivations/derivations.py `_. Notice that in the above file, we had a variable ``NEW_PRECT``. It's a new and derived variable, composed of two or more variables. In this case, ``NEW_PRECT`` is composed of ``PRECT`` and ``PRECL``. :doc:`Read more about derived variables here <../add-new-diagnostics>`. -Open `e3sm_diags/derivations/acme.py `_ +Open `e3sm_diags/derivations/formulas.py `_ and add the function below. It handles what to do when we have ``NEW_PRECT`` as a variable. .. code:: python @@ -404,7 +399,7 @@ and add the function below. It handles what to do when we have ``NEW_PRECT`` as return var We need to make sure that this function is actually called. -In the ``derived_variables`` dictionary in ``e3sm_diags/derivations/acme.py``, add the following entry. +In the ``DERIVED_VARIABLES`` dictionary in ``e3sm_diags/derivations/derivations.py``, add the following entry. It's basically the same as ``PRECT``, but with the ``new_prect()`` function being called. .. code:: python @@ -468,137 +463,10 @@ In ``e3sm_diags/plot/cartopy/``, create a file called ``diff_diags_plot.py``. The ``plot()`` function is what the driver, ``diff_diags_driver.py`` will call. **Again, the code for this varies greatly based on the actual plot set.** -In this script, we're using the ``projection`` and ``central_lon`` parameters. - .. code:: python +Refer to the `lat_lon_plot.py`_ module for an example of how to create a plot module. - import os - import numpy as np - import numpy.ma as ma - import matplotlib - matplotlib.use('Agg') - import matplotlib.pyplot as plt - import matplotlib.pyplot as plt - import matplotlib.colors as colors - import cartopy.crs as ccrs - from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter - from e3sm_diags.plot import get_colormap - from e3sm_diags.driver.utils.general import get_output_dir - - - def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, 'coe')) - - def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - def plot(diff, var, season, metrics, parameter): - # Create figure, projection - fig = plt.figure(figsize=parameter.figsize, dpi=parameter.dpi) - - if parameter.projection == 'mercator': - proj_cls = ccrs.Mercator - elif parameter.projection == 'platecarree': - proj_cls = ccrs.PlateCarree - elif parameter.projection == 'miller': - proj_cls = ccrs.Miller - - central_lon = parameter.central_lon - proj = proj_cls(central_longitude=central_lon) - - diff = add_cyclic(diff) - lon = diff.getLongitude() - lat = diff.getLatitude() - diff = ma.squeeze(diff.asma()) - - # Contour levels - clevels = parameter.diff_levels - levels = None - norm = None - if len(clevels) > 0: - levels = [-1.0e8] + clevels + [1.0e8] - norm = colors.BoundaryNorm(boundaries=levels, ncolors=256) - - panel = (0.1691, 0.6810, 0.6465, 0.2258) - # Contour plot - ax = fig.add_axes(panel, projection=proj) - # ax = fig.add_axes(panel[n], projection=proj) - ax.set_global() - cmap = get_colormap(parameter.diff_colormap, parameter) - p1 = ax.contourf(lon, lat, diff, - transform=proj_cls(), - norm=norm, - levels=levels, - cmap=cmap, - extend='both', - ) - - ax.set_aspect('auto') - ax.coastlines(lw=0.3) - if parameter.diff_title: - ax.set_title(parameter.diff_title, fontdict={'fontsize': 11.5}) - ax.set_xticks([0, 60, 120, 180, 240, 300, 359.99], crs=proj_cls()) - ax.set_yticks([-90, -60, -30, 0, 30, 60, 90], crs=proj_cls()) - lon_formatter = LongitudeFormatter( - zero_direction_label=True, number_format='.0f') - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction='out', width=1) - ax.xaxis.set_ticks_position('bottom') - ax.yaxis.set_ticks_position('left') - - # Color bar - cbax = fig.add_axes( - (panel[0] + 0.6635, panel[1] + 0.0215, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax) - w, h = get_ax_size(fig, cbax) - - if levels is None: - cbar.ax.tick_params(labelsize=9.0, length=0) - else: - maxval = np.amax(np.absolute(levels[1:-1])) - if maxval < 10.0: - fmt = "%5.2f" - pad = 25 - elif maxval < 100.0: - fmt = "%5.1f" - pad = 25 - else: - fmt = "%6.1f" - pad = 30 - cbar.set_ticks(levels[1:-1]) - labels = [fmt % l for l in levels[1:-1]] - cbar.ax.set_yticklabels(labels, ha='right') - cbar.ax.tick_params(labelsize=9.0, pad=pad, length=0) - - # Min, Mean, Max - plotSideTitle = {'fontsize': 9.5} - fig.text(panel[0] + 0.6635, panel[1] + 0.2107, - "Max\nMean\nMin", ha='left', fontdict=plotSideTitle) - stats = metrics['min'], metrics['max'], metrics['mean'] - fig.text(panel[0] + 0.7635, panel[1] + 0.2107, "%.2f\n%.2f\n%.2f" % - stats[0:3], ha='right', fontdict=plotSideTitle) - - - # Figure title - if not parameter.main_title: - fig.suptitle('{} {}'.format(var, season), x=0.5, y=0.96, fontsize=18) - else: - fig.suptitle(parameter.main_title, x=0.5, y=0.96, fontsize=18) - - # Save figure - # Get the filename that the user has passed in and display that. - file_name = '{}_{}.png'.format(var, season) - path = os.path.join(get_output_dir('diff_diags', parameter), file_name) - plt.savefig(path) - print('Plot saved in: ' + path) - plt.close() +.. _lat_lon_plot.py: https://github.com/E3SM-Project/e3sm_diags/tree/main/e3sm_diags/plot/lat_lon_plot.py Adding The Viewer @@ -608,7 +476,7 @@ Each plotset needs to have webpages generated for it that allow users to look at In ``e3sm_diags``, each of the plotset is **mapped to a function that takes in all of the Parameter objects** **for that plotset, then creates the webpages and returns a** ``(display_name, url)`` **tuple of strings**. -First in `e3sm_diags/viewer/ `_ +First in `e3sm_diags/viewer/ `_ create a file ``diff_diags_viewer.py`` paste in the below code. .. code:: python diff --git a/docs/source/install.rst b/docs/source/install.rst index 9e826748a..c212c97d9 100644 --- a/docs/source/install.rst +++ b/docs/source/install.rst @@ -7,7 +7,7 @@ Activate **e3sm_unified** environment ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ If you have an account on one of the E3SM supported machines (NERSC, Compy, Acme1, LCRC, Cooley, Rhea), you can access ``e3sm_diags`` by activating ``e3sm_unified``, which is a conda environment that pulls together Python -and other E3SM analysis tools such as ``e3sm_diags``, ``mpas-analysis``, ``NCO``, ``cdat`` and ``processflow``. +and other E3SM analysis tools such as ``e3sm_diags``, ``mpas-analysis``, ``NCO``, and ``processflow``. The paths to ``e3sm_unified`` activation scripts are machine dependent: diff --git a/e3sm_diags/derivations/acme.py b/e3sm_diags/derivations/acme.py deleted file mode 100644 index 7d13a4ead..000000000 --- a/e3sm_diags/derivations/acme.py +++ /dev/null @@ -1,2551 +0,0 @@ -from __future__ import print_function - -import copy -from collections import OrderedDict -from typing import TYPE_CHECKING, Optional, Tuple - -import MV2 -import numpy as np -from genutil import udunits - -if TYPE_CHECKING: - from cdms2.axis import FileAxis - from cdms2.fvariable import FileVariable - -AVOGADOR_CONS = 6.022e23 -AIR_DENS = 1.225 # standard air density 1.225kg/m3 - - -def rename(new_name): - """Given the new name, just return it.""" - return new_name - - -def aplusb(var1, var2, target_units=None): - """Returns var1 + var2. If both of their units are not the same, - it tries to convert both of their units to target_units""" - - if target_units is not None: - var1 = convert_units(var1, target_units) - var2 = convert_units(var2, target_units) - - return var1 + var2 - - -def convert_units(var, target_units): # noqa: C901 - """Converts units of var to target_units. - var is a cdms.TransientVariable.""" - - if not hasattr(var, "units") and var.id == "SST": - var.units = target_units - elif not hasattr(var, "units") and var.id == "ICEFRAC": - var.units = target_units - var = 100.0 * var - elif not hasattr(var, "units") and var.id == "AODVIS": - var.units = target_units - elif not hasattr(var, "units") and var.id == "AODDUST": - var.units = target_units - elif var.id == "FAREA_BURNED": - var = var * 1e9 - var.units = target_units - elif var.units == "gC/m^2": - var = var / 1000.0 - var.units = target_units - elif var.id == "FLOODPLAIN_VOLUME" and target_units == "km3": - var = var / 1.0e9 - var.units = target_units - elif var.id == "AOD_550_ann": - var.units = target_units - elif var.id == "AOD_550": - var.units = target_units - elif var.units == "C" and target_units == "DegC": - var.units = target_units - elif var.units == "N/m2" and target_units == "N/m^2": - var.units = target_units - elif var.id == "AODVIS" or var.id == "AOD_550_ann" or var.id == "TOTEXTTAU": - var.units = target_units - elif var.units == "fraction": - var = 100.0 * var - var.units = target_units - elif var.units == "mb": - var.units = target_units - elif var.units == "gpm": # geopotential meter - var = var / 9.8 / 100 # convert to hecto meter - var.units = target_units - elif var.units == "Pa/s": - var = var / 100.0 * 24 * 3600 - var.units = target_units - elif var.units == "mb/day": - var = var - var.units = target_units - elif var.id == "prw" and var.units == "cm": - var = var * 10.0 # convert from 'cm' to 'kg/m2' or 'mm' - var.units = target_units - elif var.units in ["gC/m^2/s"] and target_units == "g*/m^2/day": - var = var * 24 * 3600 - var.units = var.units[0:7] + "day" - elif var.units in ["gN/m^2/s", "gP/m^2/s"] and target_units == "mg*/m^2/day": - var = var * 24 * 3600 * 1000.0 - var.units = "m" + var.units[0:7] + "day" - elif var.units in ["gN/m^2/day", "gP/m^2/day", "gC/m^2/day"]: - pass - else: - temp = udunits(1.0, var.units) - coeff, offset = temp.how(target_units) - var = coeff * var + offset - var.units = target_units - - return var - - -def mask_by(input_var, maskvar, low_limit=None, high_limit=None): - """masks a variable var to be missing except where maskvar>=low_limit and maskvar<=high_limit. - None means to omit the constrint, i.e. low_limit = -infinity or high_limit = infinity. - var is changed and returned; we don't make a new variable. - var and maskvar: dimensioned the same variables. - low_limit and high_limit: scalars. - """ - var = copy.deepcopy(input_var) - if low_limit is None and high_limit is None: - return var - if low_limit is None and high_limit is not None: - maskvarmask = maskvar > high_limit - elif low_limit is not None and high_limit is None: - maskvarmask = maskvar < low_limit - else: - maskvarmask = (maskvar < low_limit) | (maskvar > high_limit) - if var.mask is False: - newmask = maskvarmask - else: - newmask = var.mask | maskvarmask - var.mask = newmask - return var - - -def qflxconvert_units(var): - if var.units == "kg/m2/s" or var.units == "kg m-2 s-1" or var.units == "mm/s": - # need to find a solution for units not included in udunits - # var = convert_units( var, 'kg/m2/s' ) - var = var * 3600.0 * 24 # convert to mm/day - var.units = "mm/day" - elif var.units == "mm/hr": - var = var * 24.0 - var.units = "mm/day" - return var - - -def qsat(temp, surfp): - # Function to calculate saturation specific humidity based on air temperature and surface pressure, following: https://confluence.ecmwf.int/pages/viewpage.action?pageId=171411214 - # Input: temperature (temp) with units K and surface pressure (surfp) with units Pa: - - qsat = copy.deepcopy(temp) - Rdry = 287.0597 - Rvap = 461.5250 - # Constants for Teten’s formula: for saturation over water, a1 = 611.21 Pa, a3 = 17.502 and a4 = 32.19 K, at T0 = 273.16 K. - a1 = 611.21 - a3 = 17.502 - a4 = 32.19 - T0 = 273.16 - - # Calculation of saturation water vapour pressure (sat_wvp) from Teten's formula - sat_wvp = a1 * np.exp(a3 * (temp - T0) / (temp - a4)) - - # Calculation of saturation specific humidity at 2m qsat (equal to huss) with units g/kg - qsat = (Rdry / Rvap) * sat_wvp / (surfp - ((1 - Rdry / Rvap) * sat_wvp)) * 1000.0 - # Reset axes, which were dropped during calculation - qsat.setAxisList(temp.getAxisList()) - qsat.units = "g/kg" - qsat.id = "QREFHT" - qsat.long_name = "Specific Humidity" - return qsat - - -def w_convert_q(var): - if var.units == "mol/mol": - var = ( - var * 18.0 / 28.97 * 1000.0 - ) # convert from volume mixing ratio to mass mixing ratio in units g/kg - var.units = "g/kg" - var.long_name = "H2OLNZ (radiation)" - return var - - -def molec_convert_units(var, molar_weight): - # Convert molec/cm2/s to kg/m2/s - if var.units == "molec/cm2/s": - var = var / AVOGADOR_CONS * molar_weight * 10.0 - var.units = "kg/m2/s" - return var - - -def a_num_sum(var): - # Calculate: total aerosol number concentration (#/cm3) - var = var * AIR_DENS / 1e6 - var.units = "/cm3" - var.long_name = "aerosol number concentration" - return var - - -def so4_mass_sum(var): - # Calculate: SO4 mass conc. (ng/m3) (< 1um) - var = var * AIR_DENS * 1e9 - var.units = "\u03bcg/m3" - var.long_name = "SO4 mass conc." - return var - - -def qflx_convert_to_lhflx(qflx, precc, precl, precsc, precsl): - # A more precise formula to close atmospheric energy budget: - # LHFLX is modified to account for the latent energy of frozen precipitation. - # LHFLX = (Lv+Lf)*QFLX - Lf*1.e3*(PRECC+PRECL-PRECSC-PRECSL) - # Constants, from AMWG diagnostics - Lv = 2.501e6 - Lf = 3.337e5 - var = (Lv + Lf) * qflx - Lf * 1.0e3 * (precc + precl - precsc - precsl) - var.units = "W/m2" - var.long_name = "Surface latent heat flux" - return var - - -def qflx_convert_to_lhflx_approxi(var): - # QFLX units: kg/((m^2)*s) - # Multiply by the latent heat of condensation/vaporization (in J/kg) - # kg/((m^2)*s) * J/kg = J/((m^2)*s) = (W*s)/((m^2)*s) = W/(m^2) - var.units = "W/m2" - var.long_name = "Surface latent heat flux" - return var * 2.5e6 - - -def pminuse_convert_units(var): - if var.units == "kg/m2/s" or var.units == "kg m-2 s-1" or var.units == "kg/s/m^2": - # need to find a solution for units not included in udunits - # var = convert_units( var, 'kg/m2/s' ) - var = var * 3600.0 * 24 # convert to mm/day - var.units = "mm/day" - var.long_name = "precip. flux - evap. flux" - return var - - -def prect(precc, precl): - """Total precipitation flux = convective + large-scale""" - var = precc + precl - var = convert_units(var, "mm/day") - var.long_name = "Total precipitation rate (convective + large-scale)" - return var - - -def precst(precc, precl): - """Total precipitation flux = convective + large-scale""" - var = precc + precl - var = convert_units(var, "mm/day") - var.long_name = "Total snowfall flux (convective + large-scale)" - return var - - -def tref_range(tmax, tmin): - """TREF daily range = TREFMXAV - TREFMNAV""" - var = tmax - tmin - var.units = "K" - var.long_name = "Surface Temperature Daily Range" - return var - - -def tauxy(taux, tauy): - """tauxy = (taux^2 + tauy^2)sqrt""" - var = (taux**2 + tauy**2) ** 0.5 - var = convert_units(var, "N/m^2") - var.long_name = "Total surface wind stress" - return var - - -def fp_uptake(a, b): - """plant uptake of soil mineral N""" - var = a / b - var.units = "dimensionless" - var.long_name = "Plant uptake of soil mineral N" - return var - - -def albedo(rsdt, rsut): - """TOA (top-of-atmosphere) albedo, rsut / rsdt, unit is nondimension""" - var = rsut / rsdt - var.units = "dimensionless" - var.long_name = "TOA albedo" - return var - - -def albedoc(rsdt, rsutcs): - """TOA (top-of-atmosphere) albedo clear-sky, rsutcs / rsdt, unit is nondimension""" - var = rsutcs / rsdt - var.units = "dimensionless" - var.long_name = "TOA albedo clear-sky" - return var - - -def albedo_srf(rsds, rsus): - """Surface albedo, rsus / rsds, unit is nondimension""" - var = rsus / rsds - var.units = "dimensionless" - var.long_name = "Surface albedo" - return var - - -def rst(rsdt, rsut): - """TOA (top-of-atmosphere) net shortwave flux""" - var = rsdt - rsut - var.long_name = "TOA net shortwave flux" - return var - - -def rstcs(rsdt, rsutcs): - """TOA (top-of-atmosphere) net shortwave flux clear-sky""" - var = rsdt - rsutcs - var.long_name = "TOA net shortwave flux clear-sky" - return var - - -def swcfsrf(fsns, fsnsc): - """Surface shortwave cloud forcing""" - var = fsns - fsnsc - var.long_name = "Surface shortwave cloud forcing" - return var - - -def lwcfsrf(flns, flnsc): - """Surface longwave cloud forcing, for ACME model, upward is postitive for LW , for ceres, downward is postive for both LW and SW""" - var = -(flns - flnsc) - var.long_name = "Surface longwave cloud forcing" - return var - - -def swcf(fsntoa, fsntoac): - """TOA shortwave cloud forcing""" - var = fsntoa - fsntoac - var.long_name = "TOA shortwave cloud forcing" - return var - - -def lwcf(flntoa, flntoac): - """TOA longwave cloud forcing""" - var = flntoa - flntoac - var.long_name = "TOA longwave cloud forcing" - return var - - -def netcf2(swcf, lwcf): - """TOA net cloud forcing""" - var = swcf + lwcf - var.long_name = "TOA net cloud forcing" - return var - - -def netcf4(fsntoa, fsntoac, flntoa, flntoac): - """TOA net cloud forcing""" - var = fsntoa - fsntoac + flntoa - flntoac - var.long_name = "TOA net cloud forcing" - return var - - -def netcf2srf(swcf, lwcf): - """Surface net cloud forcing""" - var = swcf + lwcf - var.long_name = "Surface net cloud forcing" - return var - - -def netcf4srf(fsntoa, fsntoac, flntoa, flntoac): - """Surface net cloud forcing""" - var = fsntoa - fsntoac + flntoa - flntoac - var.long_name = "Surface net cloud forcing" - return var - - -def fldsc(ts, flnsc): - """Clearsky Surf LW downwelling flux""" - var = 5.67e-8 * ts**4 - flnsc - var.units = "W/m2" - var.long_name = "Clearsky Surf LW downwelling flux" - return var - - -def restom(fsnt, flnt): - """TOM(top of model) Radiative flux""" - var = fsnt - flnt - var.long_name = "TOM(top of model) Radiative flux" - return var - - -def restom3(swdn, swup, lwup): - """TOM(top of model) Radiative flux""" - var = swdn - swup - lwup - var.long_name = "TOM(top of model) Radiative flux" - return var - - -def restoa(fsnt, flnt): - """TOA(top of atmosphere) Radiative flux""" - var = fsnt - flnt - var.long_name = "TOA(top of atmosphere) Radiative flux" - return var - - -def flus(flds, flns): - """Surface Upwelling LW Radiative flux""" - var = flns + flds - var.long_name = "Upwelling longwave flux at surface" - return var - - -def fsus(fsds, fsns): - """Surface Up-welling SW Radiative flux""" - var = fsds - fsns - var.long_name = "Upwelling shortwave flux at surface" - return var - - -def netsw(rsds, rsus): - """Surface SW Radiative flux""" - var = rsds - rsus - var.long_name = "Surface SW Radiative flux" - return var - - -def netlw(rlds, rlus): - """Surface LW Radiative flux""" - var = -(rlds - rlus) - var.long_name = "Surface LW Radiative flux" - return var - - -def netflux4(fsns, flns, lhflx, shflx): - """Surface Net flux""" - var = fsns - flns - lhflx - shflx - var.long_name = "Surface Net flux" - return var - - -def netflux6(rsds, rsus, rlds, rlus, hfls, hfss): - """Surface Net flux""" - var = rsds - rsus + (rlds - rlus) - hfls - hfss - var.long_name = "Surface Net flux" - return var - - -def adjust_prs_val_units( - prs: "FileAxis", prs_val: float, prs_val0: Optional[float] -) -> float: - """Adjust the prs_val units based on the prs.id""" - # COSP v2 cosp_pr in units Pa instead of hPa as in v1 - # COSP v2 cosp_htmisr in units m instead of km as in v1 - adjust_ids = {"cosp_prs": 100, "cosp_htmisr": 1000} - - if prs_val0: - prs_val = prs_val0 - if prs.id in adjust_ids.keys() and max(prs.getData()) > 1000: - prs_val = prs_val * adjust_ids[prs.id] - - return prs_val - - -def determine_cloud_level( - prs_low: float, - prs_high: float, - low_bnds: Tuple[int, int], - high_bnds: Tuple[int, int], -) -> str: - """Determines the cloud type based on prs values and the specified boundaries""" - # Threshold for cloud top height: high cloud (<440hPa or > 7km), midlevel cloud (440-680hPa, 3-7 km) and low clouds (>680hPa, < 3km) - if prs_low in low_bnds and prs_high in high_bnds: - return "middle cloud fraction" - elif prs_low in low_bnds: - return "high cloud fraction" - elif prs_high in high_bnds: - return "low cloud fraction" - else: - return "total cloud fraction" - - -def cosp_bin_sum( - cld: "FileVariable", - prs_low0: Optional[float], - prs_high0: Optional[float], - tau_low0: Optional[float], - tau_high0: Optional[float], -): - """sum of cosp bins to calculate cloud fraction in specified cloud top pressure / height and - cloud thickness bins, input variable has dimension (cosp_prs,cosp_tau,lat,lon)/(cosp_ht,cosp_tau,lat,lon) - """ - prs: FileAxis = cld.getAxis(0) - tau: FileAxis = cld.getAxis(1) - - prs_low: float = adjust_prs_val_units(prs, prs[0], prs_low0) - prs_high: float = adjust_prs_val_units(prs, prs[-1], prs_high0) - - if prs_low0 is None and prs_high0 is None: - prs_lim = "total cloud fraction" - - tau_high, tau_low, tau_lim = determine_tau(tau, tau_low0, tau_high0) - - if cld.id == "FISCCP1_COSP": # ISCCP model - cld_bin = cld(cosp_prs=(prs_low, prs_high), cosp_tau=(tau_low, tau_high)) - simulator = "ISCCP" - if cld.id == "CLISCCP": # ISCCP obs - cld_bin = cld(isccp_prs=(prs_low, prs_high), isccp_tau=(tau_low, tau_high)) - - if cld.id == "CLMODIS": # MODIS - prs_lim = determine_cloud_level(prs_low, prs_high, (440, 44000), (680, 68000)) - simulator = "MODIS" - - if prs.id == "cosp_prs": # Model - cld_bin = cld( - cosp_prs=(prs_low, prs_high), cosp_tau_modis=(tau_low, tau_high) - ) - elif prs.id == "modis_prs": # Obs - cld_bin = cld(modis_prs=(prs_low, prs_high), modis_tau=(tau_low, tau_high)) - - if cld.id == "CLD_MISR": # MISR model - if max(prs) > 1000: # COSP v2 cosp_htmisr in units m instead of km as in v1 - cld = cld[ - 1:, :, :, : - ] # COSP v2 cosp_htmisr[0] equals to 0 instead of -99 as in v1, therefore cld needs to be masked manually - cld_bin = cld(cosp_htmisr=(prs_low, prs_high), cosp_tau=(tau_low, tau_high)) - prs_lim = determine_cloud_level(prs_low, prs_high, (7, 7000), (3, 3000)) - simulator = "MISR" - if cld.id == "CLMISR": # MISR obs - cld_bin = cld(misr_cth=(prs_low, prs_high), misr_tau=(tau_low, tau_high)) - - cld_bin_sum = MV2.sum(MV2.sum(cld_bin, axis=1), axis=0) - - try: - cld_bin_sum.long_name = simulator + ": " + prs_lim + " with " + tau_lim - # cld_bin_sum.long_name = "{}: {} with {}".format(simulator, prs_lim, tau_lim) - except BaseException: - pass - return cld_bin_sum - - -def determine_tau( - tau: "FileAxis", tau_low0: Optional[float], tau_high0: Optional[float] -): - tau_low = tau[0] - tau_high = tau[-1] - - if tau_low0 is None and tau_high0: - tau_high = tau_high0 - tau_lim = "tau <" + str(tau_high0) - elif tau_high0 is None and tau_low0: - tau_low = tau_low0 - tau_lim = "tau >" + str(tau_low0) - elif tau_low0 is None and tau_high0 is None: - tau_lim = str(tau_low) + "< tau < " + str(tau_high) - else: - tau_low = tau_low0 - tau_high = tau_high0 - tau_lim = str(tau_low) + "< tau < " + str(tau_high) - - return tau_high, tau_low, tau_lim - - -def cosp_histogram_standardize(cld: "FileVariable"): - """standarize cloud top pressure and cloud thickness bins to dimensions that - suitable for plotting, input variable has dimention (cosp_prs,cosp_tau)""" - prs = cld.getAxis(0) - tau = cld.getAxis(1) - - prs[0] - prs_high = prs[-1] - tau[0] - tau_high = tau[-1] - - prs_bounds = getattr(prs, "bounds") - if prs_bounds is None: - cloud_prs_bounds = np.array( - [ - [1000.0, 800.0], - [800.0, 680.0], - [680.0, 560.0], - [560.0, 440.0], - [440.0, 310.0], - [310.0, 180.0], - [180.0, 0.0], - ] - ) # length 7 - prs.setBounds(np.array(cloud_prs_bounds, dtype=np.float32)) - - tau_bounds = getattr(tau, "bounds") - if tau_bounds is None: - cloud_tau_bounds = np.array( - [ - [0.3, 1.3], - [1.3, 3.6], - [3.6, 9.4], - [9.4, 23], - [23, 60], - [60, 379], - ] - ) # length 6 - tau.setBounds(np.array(cloud_tau_bounds, dtype=np.float32)) - - if cld.id == "FISCCP1_COSP": # ISCCP model - cld_hist = cld(cosp_tau=(0.3, tau_high)) - if cld.id == "CLISCCP": # ISCCP obs - cld_hist = cld(isccp_tau=(0.3, tau_high)) - - if cld.id == "CLMODIS": # MODIS - try: - cld_hist = cld(cosp_tau_modis=(0.3, tau_high)) # MODIS model - except BaseException: - cld_hist = cld(modis_tau=(0.3, tau_high)) # MODIS obs - - if cld.id == "CLD_MISR": # MISR model - if max(prs) > 1000: # COSP v2 cosp_htmisr in units m instead of km as in v1 - cld = cld[ - 1:, :, :, : - ] # COSP v2 cosp_htmisr[0] equals to 0 instead of -99 as in v1, therefore cld needs to be masked manually - prs_high = 1000.0 * prs_high - cld_hist = cld(cosp_tau=(0.3, tau_high), cosp_htmisr=(0, prs_high)) - if cld.id == "CLMISR": # MISR obs - cld_hist = cld(misr_tau=(0.3, tau_high), misr_cth=(0, prs_high)) - - return cld_hist - - -# derived_variables is a dictionary to accomodate user specified derived variables. -# The driver search for available variable keys and functions to calculate derived variable. -# For example -# In derived_variable there is an entry for 'PRECT': -# If 'PRECT' is not available, but both 'PRECC' and 'PRECT' are available in the netcdf variable keys, -# PRECT is calculated using fuction prect() with precc and precl as inputs. - -derived_variables = { - "PRECT": OrderedDict( - [ - ( - ("PRECT",), - lambda pr: convert_units(rename(pr), target_units="mm/day"), - ), - (("pr",), lambda pr: qflxconvert_units(rename(pr))), - (("PRECC", "PRECL"), lambda precc, precl: prect(precc, precl)), - (("sat_gauge_precip",), rename), - ( - ("PrecipLiqSurfMassFlux", "PrecipIceSurfMassFlux"), - lambda precl, preci: prect(precl, preci), - ), # EAMxx - ] - ), - "PRECST": OrderedDict( - [ - (("prsn",), lambda prsn: qflxconvert_units(rename(prsn))), - ( - ("PRECSC", "PRECSL"), - lambda precsc, precsl: precst(precsc, precsl), - ), - ] - ), - # Sea Surface Temperature: Degrees C - # Temperature of the water, not the air. Ignore land. - "SST": OrderedDict( - [ - # lambda sst: convert_units(rename(sst),target_units="degC")), - (("sst",), rename), - ( - ("TS", "OCNFRAC"), - lambda ts, ocnfrac: mask_by( - convert_units(ts, target_units="degC"), - ocnfrac, - low_limit=0.9, - ), - ), - (("SST",), lambda sst: convert_units(sst, target_units="degC")), - ] - ), - "TMQ": OrderedDict( - [ - (("PREH2O",), rename), - ( - ("prw",), - lambda prw: convert_units(rename(prw), target_units="kg/m2"), - ), - ( - ("VapWaterPath",), # EAMxx - lambda prw: convert_units(rename(prw), target_units="kg/m2"), - ), - ] - ), - "SOLIN": OrderedDict( - [ - (("rsdt",), rename), - (("SW_flux_dn_at_model_top",), rename), # EAMxx - ] - ), - "ALBEDO": OrderedDict( - [ - (("ALBEDO",), rename), - ( - ("SOLIN", "FSNTOA"), - lambda solin, fsntoa: albedo(solin, solin - fsntoa), - ), - (("rsdt", "rsut"), lambda rsdt, rsut: albedo(rsdt, rsut)), - ] - ), - "ALBEDOC": OrderedDict( - [ - (("ALBEDOC",), rename), - ( - ("SOLIN", "FSNTOAC"), - lambda solin, fsntoac: albedoc(solin, solin - fsntoac), - ), - (("rsdt", "rsutcs"), lambda rsdt, rsutcs: albedoc(rsdt, rsutcs)), - ] - ), - "ALBEDO_SRF": OrderedDict( - [ - (("ALBEDO_SRF",), rename), - (("rsds", "rsus"), lambda rsds, rsus: albedo_srf(rsds, rsus)), - ( - ("FSDS", "FSNS"), - lambda fsds, fsns: albedo_srf(fsds, fsds - fsns), - ), - ] - ), - # Pay attention to the positive direction of SW and LW fluxes - "SWCF": OrderedDict( - [ - (("SWCF",), rename), - ( - ("toa_net_sw_all_mon", "toa_net_sw_clr_mon"), - lambda net_all, net_clr: swcf(net_all, net_clr), - ), - ( - ("toa_net_sw_all_mon", "toa_net_sw_clr_t_mon"), - lambda net_all, net_clr: swcf(net_all, net_clr), - ), - (("toa_cre_sw_mon",), rename), - ( - ("FSNTOA", "FSNTOAC"), - lambda fsntoa, fsntoac: swcf(fsntoa, fsntoac), - ), - (("rsut", "rsutcs"), lambda rsutcs, rsut: swcf(rsut, rsutcs)), - ( - ("SW_flux_up_at_model_top", "SW_clrsky_flux_up_at_model_top"), - lambda rsutcs, rsut: swcf(rsut, rsutcs), - ), # EAMxx - ] - ), - "SWCFSRF": OrderedDict( - [ - (("SWCFSRF",), rename), - ( - ("sfc_net_sw_all_mon", "sfc_net_sw_clr_mon"), - lambda net_all, net_clr: swcfsrf(net_all, net_clr), - ), - ( - ("sfc_net_sw_all_mon", "sfc_net_sw_clr_t_mon"), - lambda net_all, net_clr: swcfsrf(net_all, net_clr), - ), - (("sfc_cre_net_sw_mon",), rename), - (("FSNS", "FSNSC"), lambda fsns, fsnsc: swcfsrf(fsns, fsnsc)), - ] - ), - "LWCF": OrderedDict( - [ - (("LWCF",), rename), - ( - ("toa_net_lw_all_mon", "toa_net_lw_clr_mon"), - lambda net_all, net_clr: lwcf(net_clr, net_all), - ), - ( - ("toa_net_lw_all_mon", "toa_net_lw_clr_t_mon"), - lambda net_all, net_clr: lwcf(net_clr, net_all), - ), - (("toa_cre_lw_mon",), rename), - ( - ("FLNTOA", "FLNTOAC"), - lambda flntoa, flntoac: lwcf(flntoa, flntoac), - ), - (("rlut", "rlutcs"), lambda rlutcs, rlut: lwcf(rlut, rlutcs)), - ] - ), - "LWCFSRF": OrderedDict( - [ - (("LWCFSRF",), rename), - ( - ("sfc_net_lw_all_mon", "sfc_net_lw_clr_mon"), - lambda net_all, net_clr: lwcfsrf(net_clr, net_all), - ), - ( - ("sfc_net_lw_all_mon", "sfc_net_lw_clr_t_mon"), - lambda net_all, net_clr: lwcfsrf(net_clr, net_all), - ), - (("sfc_cre_net_lw_mon",), rename), - (("FLNS", "FLNSC"), lambda flns, flnsc: lwcfsrf(flns, flnsc)), - ] - ), - "NETCF": OrderedDict( - [ - ( - ( - "toa_net_sw_all_mon", - "toa_net_sw_clr_mon", - "toa_net_lw_all_mon", - "toa_net_lw_clr_mon", - ), - lambda sw_all, sw_clr, lw_all, lw_clr: netcf4( - sw_all, sw_clr, lw_all, lw_clr - ), - ), - ( - ( - "toa_net_sw_all_mon", - "toa_net_sw_clr_t_mon", - "toa_net_lw_all_mon", - "toa_net_lw_clr_t_mon", - ), - lambda sw_all, sw_clr, lw_all, lw_clr: netcf4( - sw_all, sw_clr, lw_all, lw_clr - ), - ), - ( - ("toa_cre_sw_mon", "toa_cre_lw_mon"), - lambda swcf, lwcf: netcf2(swcf, lwcf), - ), - (("SWCF", "LWCF"), lambda swcf, lwcf: netcf2(swcf, lwcf)), - ( - ("FSNTOA", "FSNTOAC", "FLNTOA", "FLNTOAC"), - lambda fsntoa, fsntoac, flntoa, flntoac: netcf4( - fsntoa, fsntoac, flntoa, flntoac - ), - ), - ] - ), - "NETCF_SRF": OrderedDict( - [ - ( - ( - "sfc_net_sw_all_mon", - "sfc_net_sw_clr_mon", - "sfc_net_lw_all_mon", - "sfc_net_lw_clr_mon", - ), - lambda sw_all, sw_clr, lw_all, lw_clr: netcf4srf( - sw_all, sw_clr, lw_all, lw_clr - ), - ), - ( - ( - "sfc_net_sw_all_mon", - "sfc_net_sw_clr_t_mon", - "sfc_net_lw_all_mon", - "sfc_net_lw_clr_t_mon", - ), - lambda sw_all, sw_clr, lw_all, lw_clr: netcf4srf( - sw_all, sw_clr, lw_all, lw_clr - ), - ), - ( - ("sfc_cre_sw_mon", "sfc_cre_lw_mon"), - lambda swcf, lwcf: netcf2srf(swcf, lwcf), - ), - ( - ("FSNS", "FSNSC", "FLNSC", "FLNS"), - lambda fsns, fsnsc, flnsc, flns: netcf4srf(fsns, fsnsc, flnsc, flns), - ), - ] - ), - "FLNS": OrderedDict( - [ - ( - ("sfc_net_lw_all_mon",), - lambda sfc_net_lw_all_mon: -sfc_net_lw_all_mon, - ), - (("rlds", "rlus"), lambda rlds, rlus: netlw(rlds, rlus)), - ] - ), - "FLNSC": OrderedDict( - [ - ( - ("sfc_net_lw_clr_mon",), - lambda sfc_net_lw_clr_mon: -sfc_net_lw_clr_mon, - ), - ( - ("sfc_net_lw_clr_t_mon",), - lambda sfc_net_lw_clr_mon: -sfc_net_lw_clr_mon, - ), - ] - ), - "FLDS": OrderedDict([(("rlds",), rename)]), - "FLUS": OrderedDict( - [ - (("rlus",), rename), - (("FLDS", "FLNS"), lambda FLDS, FLNS: flus(FLDS, FLNS)), - ] - ), - "FLDSC": OrderedDict( - [ - (("rldscs",), rename), - (("TS", "FLNSC"), lambda ts, flnsc: fldsc(ts, flnsc)), - ] - ), - "FSNS": OrderedDict( - [ - (("sfc_net_sw_all_mon",), rename), - (("rsds", "rsus"), lambda rsds, rsus: netsw(rsds, rsus)), - ] - ), - "FSNSC": OrderedDict( - [ - (("sfc_net_sw_clr_mon",), rename), - (("sfc_net_sw_clr_t_mon",), rename), - ] - ), - "FSDS": OrderedDict([(("rsds",), rename)]), - "FSUS": OrderedDict( - [ - (("rsus",), rename), - (("FSDS", "FSNS"), lambda FSDS, FSNS: fsus(FSDS, FSNS)), - ] - ), - "FSUSC": OrderedDict([(("rsuscs",), rename)]), - "FSDSC": OrderedDict([(("rsdscs",), rename), (("rsdsc",), rename)]), - # Net surface heat flux: W/(m^2) - "NET_FLUX_SRF": OrderedDict( - [ - # A more precise formula to close atmospheric surface budget, than the second entry. - ( - ("FSNS", "FLNS", "QFLX", "PRECC", "PRECL", "PRECSC", "PRECSL", "SHFLX"), - lambda fsns, flns, qflx, precc, precl, precsc, precsl, shflx: netflux4( - fsns, - flns, - qflx_convert_to_lhflx(qflx, precc, precl, precsc, precsl), - shflx, - ), - ), - ( - ("FSNS", "FLNS", "LHFLX", "SHFLX"), - lambda fsns, flns, lhflx, shflx: netflux4(fsns, flns, lhflx, shflx), - ), - ( - ("FSNS", "FLNS", "QFLX", "SHFLX"), - lambda fsns, flns, qflx, shflx: netflux4( - fsns, flns, qflx_convert_to_lhflx_approxi(qflx), shflx - ), - ), - ( - ("rsds", "rsus", "rlds", "rlus", "hfls", "hfss"), - lambda rsds, rsus, rlds, rlus, hfls, hfss: netflux6( - rsds, rsus, rlds, rlus, hfls, hfss - ), - ), - ] - ), - "FLUT": OrderedDict( - [ - (("rlut",), rename), - (("LW_flux_up_at_model_top",), rename), # EAMxx - ] - ), - "FSUTOA": OrderedDict([(("rsut",), rename)]), - "FSUTOAC": OrderedDict([(("rsutcs",), rename)]), - "FLNT": OrderedDict([(("FLNT",), rename)]), - "FLUTC": OrderedDict( - [ - (("rlutcs",), rename), - (("LW_clrsky_flux_up_at_model_top",), rename), # EAMxx - ] - ), - "FSNTOA": OrderedDict( - [ - (("FSNTOA",), rename), - (("rsdt", "rsut"), lambda rsdt, rsut: rst(rsdt, rsut)), - ( - ("SW_flux_dn_at_model_top", "SW_flux_up_at_model_top"), - lambda rsdt, rsut: rst(rsdt, rsut), - ), # EAMxx - ] - ), - "FSNTOAC": OrderedDict( - [ - # Note: CERES_EBAF data in amwg obs sets misspells "units" as "lunits" - (("FSNTOAC",), rename), - (("rsdt", "rsutcs"), lambda rsdt, rsutcs: rstcs(rsdt, rsutcs)), - ( - ("SW_flux_dn_at_model_top", "SW_clrsky_flux_up_at_model_top"), - lambda rsdt, rsutcs: rstcs(rsdt, rsutcs), - ), # EAMxx - ] - ), - "RESTOM": OrderedDict( - [ - (("RESTOA",), rename), - (("toa_net_all_mon",), rename), - (("FSNT", "FLNT"), lambda fsnt, flnt: restom(fsnt, flnt)), - ( - ( - "SW_flux_dn_at_model_top", - "SW_flux_up_at_model_top", - "LW_flux_up_at_model_top", - ), - lambda swdn, swup, lwup: restom3(swdn, swup, lwup), - ), # EAMxx - (("rtmt",), rename), - ] - ), - "RESTOA": OrderedDict( - [ - (("RESTOM",), rename), - (("toa_net_all_mon",), rename), - (("FSNT", "FLNT"), lambda fsnt, flnt: restoa(fsnt, flnt)), - ( - ( - "SW_flux_dn_at_model_top", - "SW_flux_up_at_model_top", - "LW_flux_up_at_model_top", - ), - lambda swdn, swup, lwup: restom3(swdn, swup, lwup), - ), # EAMxx - (("rtmt",), rename), - ] - ), - # 'TREFHT_LAND': OrderedDict([ - # (('TREFHT_LAND',), rename), - # (('TREFHT', 'LANDFRAC'), lambda trefht, landfrac: mask_by( - # convert_units(trefht, target_units="K"), landfrac, low_limit=0.65)) - # ]), - # 'TREFHT_LAND': OrderedDict([ - # (('TREFHT_LAND',), lambda t: convert_units(rename(t), target_units="DegC")), - # (('tas',), lambda t: convert_units(t, target_units="DegC")), #special case for GHCN data provided by Jerry - # (('TREFHT', 'LANDFRAC'), lambda trefht, landfrac: mask_by( - # convert_units(trefht, target_units="DegC"), landfrac, low_limit=0.65)) - # ]), - "PRECT_LAND": OrderedDict( - [ - (("PRECIP_LAND",), rename), - # 0.5 just to match amwg - ( - ("PRECC", "PRECL", "LANDFRAC"), - lambda precc, precl, landfrac: mask_by( - prect(precc, precl), landfrac, low_limit=0.5 - ), - ), - ] - ), - "Z3": OrderedDict( - [ - ( - ("zg",), - lambda zg: convert_units(rename(zg), target_units="hectometer"), - ), - (("Z3",), lambda z3: convert_units(z3, target_units="hectometer")), - ] - ), - "PSL": OrderedDict( - [ - (("PSL",), lambda psl: convert_units(psl, target_units="mbar")), - (("psl",), lambda psl: convert_units(psl, target_units="mbar")), - ( - ("SeaLevelPressure",), - lambda psl: convert_units(psl, target_units="mbar"), - ), # EAMxx - ] - ), - "T": OrderedDict( - [ - (("ta",), rename), - (("T",), lambda t: convert_units(t, target_units="K")), - ] - ), - "U": OrderedDict( - [ - (("ua",), rename), - (("U",), lambda u: convert_units(u, target_units="m/s")), - ] - ), - "V": OrderedDict( - [ - (("va",), rename), - (("V",), lambda u: convert_units(u, target_units="m/s")), - ] - ), - "TREFHT": OrderedDict( - [ - (("TREFHT",), lambda t: convert_units(t, target_units="DegC")), - ( - ("TREFHT_LAND",), - lambda t: convert_units(t, target_units="DegC"), - ), - (("tas",), lambda t: convert_units(t, target_units="DegC")), - (("T_2m",), lambda t: convert_units(t, target_units="DegC")), # EAMxx - ] - ), - # Surface water flux: kg/((m^2)*s) - "QFLX": OrderedDict( - [ - (("evspsbl",), rename), - (("QFLX",), lambda qflx: qflxconvert_units(qflx)), - (("surf_evap",), lambda qflx: qflxconvert_units(qflx)), # EAMxx - ] - ), - # Surface latent heat flux: W/(m^2) - "LHFLX": OrderedDict( - [ - (("hfls",), rename), - (("QFLX",), lambda qflx: qflx_convert_to_lhflx_approxi(qflx)), - (("surface_upward_latent_heat_flux",), rename), # EAMxx "s^-3 kg" - ] - ), - "SHFLX": OrderedDict( - [ - (("hfss",), rename), - (("surf_sens_flux",), rename), # EAMxx - ] - ), - "TGCLDLWP_OCN": OrderedDict( - [ - ( - ("TGCLDLWP_OCEAN",), - lambda x: convert_units(x, target_units="g/m^2"), - ), - ( - ("TGCLDLWP", "OCNFRAC"), - lambda tgcldlwp, ocnfrac: mask_by( - convert_units(tgcldlwp, target_units="g/m^2"), - ocnfrac, - low_limit=0.65, - ), - ), - ] - ), - "PRECT_OCN": OrderedDict( - [ - ( - ("PRECT_OCEAN",), - lambda x: convert_units(x, target_units="mm/day"), - ), - ( - ("PRECC", "PRECL", "OCNFRAC"), - lambda a, b, ocnfrac: mask_by( - aplusb(a, b, target_units="mm/day"), - ocnfrac, - low_limit=0.65, - ), - ), - ] - ), - "PREH2O_OCN": OrderedDict( - [ - (("PREH2O_OCEAN",), lambda x: convert_units(x, target_units="mm")), - ( - ("TMQ", "OCNFRAC"), - lambda preh2o, ocnfrac: mask_by(preh2o, ocnfrac, low_limit=0.65), - ), - ] - ), - "CLDHGH": OrderedDict( - [(("CLDHGH",), lambda cldhgh: convert_units(cldhgh, target_units="%"))] - ), - "CLDLOW": OrderedDict( - [(("CLDLOW",), lambda cldlow: convert_units(cldlow, target_units="%"))] - ), - "CLDMED": OrderedDict( - [(("CLDMED",), lambda cldmed: convert_units(cldmed, target_units="%"))] - ), - "CLDTOT": OrderedDict( - [ - (("clt",), rename), - ( - ("CLDTOT",), - lambda cldtot: convert_units(cldtot, target_units="%"), - ), - ] - ), - "CLOUD": OrderedDict( - [ - (("cl",), rename), - ( - ("CLOUD",), - lambda cldtot: convert_units(cldtot, target_units="%"), - ), - ] - ), - # below for COSP output - # CLIPSO - "CLDHGH_CAL": OrderedDict( - [ - ( - ("CLDHGH_CAL",), - lambda cldhgh: convert_units(cldhgh, target_units="%"), - ) - ] - ), - "CLDLOW_CAL": OrderedDict( - [ - ( - ("CLDLOW_CAL",), - lambda cldlow: convert_units(cldlow, target_units="%"), - ) - ] - ), - "CLDMED_CAL": OrderedDict( - [ - ( - ("CLDMED_CAL",), - lambda cldmed: convert_units(cldmed, target_units="%"), - ) - ] - ), - "CLDTOT_CAL": OrderedDict( - [ - ( - ("CLDTOT_CAL",), - lambda cldtot: convert_units(cldtot, target_units="%"), - ) - ] - ), - # ISCCP - "CLDTOT_TAU1.3_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ( - ("CLISCCP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU1.3_9.4_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ( - ("CLISCCP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU9.4_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ( - ("CLISCCP",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ] - ), - # MODIS - "CLDTOT_TAU1.3_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU1.3_9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ] - ), - "CLDHGH_TAU1.3_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, 440, 0, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDHGH_TAU1.3_9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, 440, 0, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDHGH_TAU9.4_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: convert_units( - cosp_bin_sum(cld, 440, 0, 9.4, None), target_units="%" - ), - ), - ] - ), - # MISR - "CLDTOT_TAU1.3_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU1.3_9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDTOT_TAU9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, None, None, 9.4, None), target_units="%" - ), - ), - ] - ), - "CLDLOW_TAU1.3_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, None), target_units="%" - ), - ), - ] - ), - "CLDLOW_TAU1.3_9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, 9.4), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 1.3, 9.4), target_units="%" - ), - ), - ] - ), - "CLDLOW_TAU9.4_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 9.4, None), target_units="%" - ), - ), - ( - ("CLMISR",), - lambda cld: convert_units( - cosp_bin_sum(cld, 0, 3, 9.4, None), target_units="%" - ), - ), - ] - ), - # COSP cloud fraction joint histogram - "COSP_HISTOGRAM_MISR": OrderedDict( - [ - ( - ("CLD_MISR",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - (("CLMISR",), lambda cld: cosp_histogram_standardize(rename(cld))), - ] - ), - "COSP_HISTOGRAM_MODIS": OrderedDict( - [ - ( - ("CLMODIS",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - ] - ), - "COSP_HISTOGRAM_ISCCP": OrderedDict( - [ - ( - ("FISCCP1_COSP",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - ( - ("CLISCCP",), - lambda cld: cosp_histogram_standardize(rename(cld)), - ), - ] - ), - "ICEFRAC": OrderedDict( - [ - ( - ("ICEFRAC",), - lambda icefrac: convert_units(icefrac, target_units="%"), - ) - ] - ), - "RELHUM": OrderedDict( - [ - (("hur",), lambda hur: convert_units(hur, target_units="%")), - ( - ("RELHUM",), - lambda relhum: convert_units(relhum, target_units="%"), - ) - # (('RELHUM',), rename) - ] - ), - "OMEGA": OrderedDict( - [ - ( - ("wap",), - lambda wap: convert_units(wap, target_units="mbar/day"), - ), - ( - ("OMEGA",), - lambda omega: convert_units(omega, target_units="mbar/day"), - ), - ] - ), - "Q": OrderedDict( - [ - ( - ("hus",), - lambda q: convert_units(rename(q), target_units="g/kg"), - ), - (("Q",), lambda q: convert_units(rename(q), target_units="g/kg")), - (("SHUM",), lambda shum: convert_units(shum, target_units="g/kg")), - ] - ), - "H2OLNZ": OrderedDict( - [ - ( - ("hus",), - lambda q: convert_units(rename(q), target_units="g/kg"), - ), - (("H2OLNZ",), lambda h2o: w_convert_q(h2o)), - ] - ), - "TAUXY": OrderedDict( - [ - (("TAUX", "TAUY"), lambda taux, tauy: tauxy(taux, tauy)), - (("tauu", "tauv"), lambda taux, tauy: tauxy(taux, tauy)), - ] - ), - "AODVIS": OrderedDict( - [ - (("od550aer",), rename), - ( - ("AODVIS",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ( - ("AOD_550",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ( - ("TOTEXTTAU",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ( - ("AOD_550_ann",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ), - ] - ), - "AODABS": OrderedDict([(("abs550aer",), rename)]), - "AODDUST": OrderedDict( - [ - ( - ("AODDUST",), - lambda aod: convert_units(rename(aod), target_units="dimensionless"), - ) - ] - ), - # Surface temperature: Degrees C - # (Temperature of the surface (land/water) itself, not the air) - "TS": OrderedDict( - [ - (("ts",), rename), - (("surf_radiative_T",), rename), # EAMxx - ] - ), - "PS": OrderedDict([(("ps",), rename)]), - "U10": OrderedDict([(("sfcWind",), rename), (("si10",), rename)]), - "QREFHT": OrderedDict( - [ - (("QREFHT",), lambda q: convert_units(rename(q), target_units="g/kg")), - (("huss",), lambda q: convert_units(rename(q), target_units="g/kg")), - ( - ( - "d2m", - "sp", - ), - lambda d2m, sp: qsat(d2m, sp), - ), - ] - ), - "PRECC": OrderedDict([(("prc",), rename)]), - "TAUX": OrderedDict( - [ - (("tauu",), lambda tauu: -tauu), - (("surf_mom_flux_U",), lambda tauu: -tauu), # EAMxx - ] - ), - "TAUY": OrderedDict( - [ - (("tauv",), lambda tauv: -tauv), - (("surf_mom_flux_V",), lambda tauv: -tauv), # EAMxx - ] - ), - "CLDICE": OrderedDict([(("cli",), rename)]), - "TGCLDIWP": OrderedDict([(("clivi",), rename)]), - "CLDLIQ": OrderedDict([(("clw",), rename)]), - "TGCLDCWP": OrderedDict([(("clwvi",), rename)]), - "O3": OrderedDict([(("o3",), rename)]), - "PminusE": OrderedDict( - [ - (("PminusE",), lambda pminuse: pminuse_convert_units(pminuse)), - ( - ( - "PRECC", - "PRECL", - "QFLX", - ), - lambda precc, precl, qflx: pminuse_convert_units( - prect(precc, precl) - pminuse_convert_units(qflx) - ), - ), - ( - ("F_prec", "F_evap"), - lambda pr, evspsbl: pminuse_convert_units(pr + evspsbl), - ), - ( - ("pr", "evspsbl"), - lambda pr, evspsbl: pminuse_convert_units(pr - evspsbl), - ), - ] - ), - "TREFMNAV": OrderedDict( - [ - (("TREFMNAV",), lambda t: convert_units(t, target_units="DegC")), - (("tasmin",), lambda t: convert_units(t, target_units="DegC")), - ] - ), - "TREFMXAV": OrderedDict( - [ - (("TREFMXAV",), lambda t: convert_units(t, target_units="DegC")), - (("tasmax",), lambda t: convert_units(t, target_units="DegC")), - ] - ), - "TREF_range": OrderedDict( - [ - ( - ( - "TREFMXAV", - "TREFMNAV", - ), - lambda tmax, tmin: tref_range(tmax, tmin), - ), - ( - ( - "tasmax", - "tasmin", - ), - lambda tmax, tmin: tref_range(tmax, tmin), - ), - ] - ), - "TCO": OrderedDict([(("TCO",), rename)]), - "SCO": OrderedDict([(("SCO",), rename)]), - "bc_DDF": OrderedDict( - [ - (("bc_DDF",), rename), - ( - ( - "bc_a?DDF", - "bc_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "bc_SFWET": OrderedDict( - [ - (("bc_SFWET",), rename), - ( - ( - "bc_a?SFWET", - "bc_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFbc": OrderedDict( - [ - (("SFbc",), rename), - (("SFbc_a?",), lambda *x: sum(x)), - ] - ), - "bc_CLXF": OrderedDict( - [ - (("bc_CLXF",), rename), - (("bc_a?_CLXF",), lambda *x: molec_convert_units(sum(x), 12.0)), - ] - ), - "Mass_bc": OrderedDict( - [ - (("Mass_bc",), rename), - ] - ), - "dst_DDF": OrderedDict( - [ - (("dst_DDF",), rename), - ( - ( - "dst_a?DDF", - "dst_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "dst_SFWET": OrderedDict( - [ - (("dst_SFWET",), rename), - ( - ( - "dst_a?SFWET", - "dst_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFdst": OrderedDict( - [ - (("SFdst",), rename), - (("SFdst_a?",), lambda *x: sum(x)), - ] - ), - "Mass_dst": OrderedDict( - [ - (("Mass_dst",), rename), - ] - ), - "mom_DDF": OrderedDict( - [ - (("mom_DDF",), rename), - ( - ( - "mom_a?DDF", - "mom_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "mom_SFWET": OrderedDict( - [ - (("mom_SFWET",), rename), - ( - ( - "mom_a?SFWET", - "mom_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFmom": OrderedDict( - [ - (("SFmom",), rename), - (("SFmom_a?",), lambda *x: sum(x)), - ] - ), - "Mass_mom": OrderedDict( - [ - (("Mass_mom",), rename), - ] - ), - "ncl_DDF": OrderedDict( - [ - (("ncl_DDF",), rename), - ( - ( - "ncl_a?DDF", - "ncl_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "ncl_SFWET": OrderedDict( - [ - (("ncl_SFWET",), rename), - ( - ( - "ncl_a?SFWET", - "ncl_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFncl": OrderedDict( - [ - (("SFncl",), rename), - (("SFncl_a?",), lambda *x: sum(x)), - ] - ), - "Mass_ncl": OrderedDict( - [ - (("Mass_ncl",), rename), - ] - ), - "so4_DDF": OrderedDict( - [ - (("so4_DDF",), rename), - ( - ( - "so4_a?DDF", - "so4_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "so4_SFWET": OrderedDict( - [ - (("so4_SFWET",), rename), - ( - ( - "so4_a?SFWET", - "so4_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "so4_CLXF": OrderedDict( - [ - (("so4_CLXF",), rename), - ( - ("so4_a?_CLXF",), - lambda *x: molec_convert_units(sum(x), 115.0), - ), - ] - ), - "SFso4": OrderedDict( - [ - (("SFso4",), rename), - (("SFso4_a?",), lambda *x: sum(x)), - ] - ), - "Mass_so4": OrderedDict( - [ - (("Mass_so4",), rename), - ] - ), - "soa_DDF": OrderedDict( - [ - (("soa_DDF",), rename), - ( - ( - "soa_a?DDF", - "soa_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "soa_SFWET": OrderedDict( - [ - (("soa_SFWET",), rename), - ( - ( - "soa_a?SFWET", - "soa_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFsoa": OrderedDict( - [ - (("SFsoa",), rename), - (("SFsoa_a?",), lambda *x: sum(x)), - ] - ), - "Mass_soa": OrderedDict( - [ - (("Mass_soa",), rename), - ] - ), - "pom_DDF": OrderedDict( - [ - (("pom_DDF",), rename), - ( - ( - "pom_a?DDF", - "pom_c?DDF", - ), - lambda *x: sum(x), - ), - ] - ), - "pom_SFWET": OrderedDict( - [ - (("pom_SFWET",), rename), - ( - ( - "pom_a?SFWET", - "pom_c?SFWET", - ), - lambda *x: sum(x), - ), - ] - ), - "SFpom": OrderedDict( - [ - (("SFpom",), rename), - (("SFpom_a?",), lambda *x: sum(x)), - ] - ), - "pom_CLXF": OrderedDict( - [ - (("pom_CLXF",), rename), - (("pom_a?_CLXF",), lambda *x: molec_convert_units(sum(x), 12.0)), - ] - ), - "Mass_pom": OrderedDict( - [ - (("Mass_pom",), rename), - ] - ), - # total aerosol number concentration (#/CC) - "a_num": OrderedDict( - [ - (("cpc",), rename), - # Aerosol concentration from Aitken, Accumu., and Coarse mode - ( - ( - "num_a1", - "num_a2", - "num_a3", - ), - lambda a1, a2, a3: a_num_sum(a1 + a2 + a3), - ), - ] - ), - # total so4 mass concentration (ng/m3) - "so4_mass": OrderedDict( - [ - (("sulfate",), rename), - # Aerosol concentration from Aitken, Accumu., and Coarse mode - ( - ( - "so4_a1", - "so4_a2", - ), - lambda a1, a2: so4_mass_sum(a1 + a2), - ), - ] - ), - # CCN 0.1%SS concentration (1/CC) - "ccn01": OrderedDict( - [ - (("ccn01",), rename), - (("CCN3",), rename), - ] - ), - # CCN 0.2%SS concentration (1/CC) - "ccn02": OrderedDict( - [ - (("ccn02",), rename), - (("CCN4",), rename), - ] - ), - # CCN 0.5%SS concentration (1/CC) - "ccn05": OrderedDict( - [ - (("ccn05",), rename), - (("CCN5",), rename), - ] - ), - # Land variables - "SOILWATER_10CM": OrderedDict([(("mrsos",), rename)]), - "SOILWATER_SUM": OrderedDict([(("mrso",), rename)]), - "SOILICE_SUM": OrderedDict([(("mrfso",), rename)]), - "QRUNOFF": OrderedDict( - [ - (("QRUNOFF",), lambda qrunoff: qflxconvert_units(qrunoff)), - (("mrro",), lambda qrunoff: qflxconvert_units(qrunoff)), - ] - ), - "QINTR": OrderedDict([(("prveg",), rename)]), - "QVEGE": OrderedDict( - [ - (("QVEGE",), lambda qevge: qflxconvert_units(rename(qevge))), - (("evspsblveg",), lambda qevge: qflxconvert_units(rename(qevge))), - ] - ), - "QVEGT": OrderedDict( - [ - (("QVEGT",), lambda qevgt: qflxconvert_units(rename(qevgt))), - ] - ), - "QSOIL": OrderedDict( - [ - (("QSOIL",), lambda qsoil: qflxconvert_units(rename(qsoil))), - (("evspsblsoi",), lambda qsoil: qflxconvert_units(rename(qsoil))), - ] - ), - "QDRAI": OrderedDict( - [ - (("QDRAI",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QINFL": OrderedDict( - [ - (("QINFL",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QIRRIG_GRND": OrderedDict( - [ - (("QIRRIG_GRND",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QIRRIG_ORIG": OrderedDict( - [ - (("QIRRIG_ORIG",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QIRRIG_REAL": OrderedDict( - [ - (("QIRRIG_REAL",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QIRRIG_SURF": OrderedDict( - [ - (("QIRRIG_SURF",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QIRRIG_WM": OrderedDict( - [ - (("QIRRIG_WM",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QOVER": OrderedDict( - [ - (("QOVER",), lambda q: qflxconvert_units(rename(q))), - (("mrros",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "QRGWL": OrderedDict( - [ - (("QRGWL",), lambda q: qflxconvert_units(rename(q))), - ] - ), - "RAIN": OrderedDict( - [ - (("RAIN",), lambda rain: qflxconvert_units(rename(rain))), - ] - ), - "SNOW": OrderedDict( - [ - (("SNOW",), lambda snow: qflxconvert_units(rename(snow))), - ] - ), - "TRAN": OrderedDict([(("tran",), rename)]), - "TSOI": OrderedDict([(("tsl",), rename)]), - "LAI": OrderedDict([(("lai",), rename)]), - # Additional land variables requested by BGC evaluation - "FAREA_BURNED": OrderedDict( - [ - ( - ("FAREA_BURNED",), - lambda v: convert_units(v, target_units="proportionx10^9"), - ) - ] - ), - "FLOODPLAIN_VOLUME": OrderedDict( - [(("FLOODPLAIN_VOLUME",), lambda v: convert_units(v, target_units="km3"))] - ), - "TLAI": OrderedDict([(("TLAI",), rename)]), - "EFLX_LH_TOT": OrderedDict([(("EFLX_LH_TOT",), rename)]), - "GPP": OrderedDict( - [(("GPP",), lambda v: convert_units(v, target_units="g*/m^2/day"))] - ), - "HR": OrderedDict( - [(("HR",), lambda v: convert_units(v, target_units="g*/m^2/day"))] - ), - "NBP": OrderedDict( - [(("NBP",), lambda v: convert_units(v, target_units="g*/m^2/day"))] - ), - "NPP": OrderedDict( - [(("NPP",), lambda v: convert_units(v, target_units="g*/m^2/day"))] - ), - "TOTVEGC": OrderedDict( - [(("TOTVEGC",), lambda v: convert_units(v, target_units="kgC/m^2"))] - ), - "TOTSOMC": OrderedDict( - [(("TOTSOMC",), lambda v: convert_units(v, target_units="kgC/m^2"))] - ), - "TOTSOMN": OrderedDict([(("TOTSOMN",), rename)]), - "TOTSOMP": OrderedDict([(("TOTSOMP",), rename)]), - "FPG": OrderedDict([(("FPG",), rename)]), - "FPG_P": OrderedDict([(("FPG_P",), rename)]), - "TBOT": OrderedDict([(("TBOT",), rename)]), - "CPOOL": OrderedDict( - [(("CPOOL",), lambda v: convert_units(v, target_units="kgC/m^2"))] - ), - "LEAFC": OrderedDict( - [(("LEAFC",), lambda v: convert_units(v, target_units="kgC/m^2"))] - ), - "SR": OrderedDict([(("SR",), lambda v: convert_units(v, target_units="kgC/m^2"))]), - "RH2M": OrderedDict([(("RH2M",), rename)]), - "DENIT": OrderedDict( - [(("DENIT",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "GROSS_NMIN": OrderedDict( - [(("GROSS_NMIN",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "GROSS_PMIN": OrderedDict( - [(("GROSS_PMIN",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "NDEP_TO_SMINN": OrderedDict( - [(("NDEP_TO_SMINN",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "NFIX_TO_SMINN": OrderedDict( - [(("NFIX_TO_SMINN",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "PLANT_NDEMAND_COL": OrderedDict( - [ - ( - ("PLANT_NDEMAND_COL",), - lambda v: convert_units(v, target_units="mg*/m^2/day"), - ) - ] - ), - "PLANT_PDEMAND_COL": OrderedDict( - [ - ( - ("PLANT_PDEMAND_COL",), - lambda v: convert_units(v, target_units="mg*/m^2/day"), - ) - ] - ), - "SMINN_TO_PLANT": OrderedDict( - [(("SMINN_TO_PLANT",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "SMINP_TO_PLANT": OrderedDict( - [(("SMINP_TO_PLANT",), lambda v: convert_units(v, target_units="mg*/m^2/day"))] - ), - "SMIN_NO3_LEACHED": OrderedDict( - [ - ( - ("SMIN_NO3_LEACHED",), - lambda v: convert_units(v, target_units="mg*/m^2/day"), - ) - ] - ), - "FP_UPTAKE": OrderedDict( - [ - (("FP_UPTAKE",), rename), - ( - ("SMINN_TO_PLANT", "PLANT_NDEMAND_COL"), - lambda a, b: fp_uptake(a, b), - ), - ] - ), - # Ocean variables - "tauuo": OrderedDict([(("tauuo",), rename)]), - "tos": OrderedDict([(("tos",), rename)]), - "thetaoga": OrderedDict([(("thetaoga",), rename)]), - "hfsifrazil": OrderedDict([(("hfsifrazil",), rename)]), - "sos": OrderedDict([(("sos",), rename)]), - "soga": OrderedDict([(("soga",), rename)]), - "tosga": OrderedDict([(("tosga",), rename)]), - "wo": OrderedDict([(("wo",), rename)]), - "thetao": OrderedDict([(("thetao",), rename)]), - "masscello": OrderedDict([(("masscello",), rename)]), - "wfo": OrderedDict([(("wfo",), rename)]), - "tauvo": OrderedDict([(("tauvo",), rename)]), - "vo": OrderedDict([(("vo",), rename)]), - "hfds": OrderedDict([(("hfds",), rename)]), - "volo": OrderedDict([(("volo",), rename)]), - "uo": OrderedDict([(("uo",), rename)]), - "zos": OrderedDict([(("zos",), rename)]), - "tob": OrderedDict([(("tob",), rename)]), - "sosga": OrderedDict([(("sosga",), rename)]), - "sfdsi": OrderedDict([(("sfdsi",), rename)]), - "zhalfo": OrderedDict([(("zhalfo",), rename)]), - "masso": OrderedDict([(("masso",), rename)]), - "so": OrderedDict([(("so",), rename)]), - "sob": OrderedDict([(("sob",), rename)]), - "mlotst": OrderedDict([(("mlotst",), rename)]), - "fsitherm": OrderedDict([(("fsitherm",), rename)]), - "msftmz": OrderedDict([(("msftmz",), rename)]), - # sea ice variables - "sitimefrac": OrderedDict([(("sitimefrac",), rename)]), - "siconc": OrderedDict([(("siconc",), rename)]), - "sisnmass": OrderedDict([(("sisnmass",), rename)]), - "sisnthick": OrderedDict([(("sisnthick",), rename)]), - "simass": OrderedDict([(("simass",), rename)]), - "sithick": OrderedDict([(("sithick",), rename)]), - "siu": OrderedDict([(("siu",), rename)]), - "sitemptop": OrderedDict([(("sitemptop",), rename)]), - "siv": OrderedDict([(("siv",), rename)]), -} - -# Names of 2D aerosol burdens, including cloud-borne aerosols -aero_burden_list = [ - "ABURDENDUST", - "ABURDENSO4", - "ABURDENSO4_STR", - "ABURDENSO4_TRO", - "ABURDENPOM", - "ABURDENMOM", - "ABURDENSOA", - "ABURDENBC", - "ABURDENSEASALT", -] - - -def aero_burden_fxn(var): - """ - Scale the aerosol burden by 1e6. - - Parameters: - var (cdms2.TransientVariable): The input burden in kg/m2. - - Returns: - burden (cdms2.TransientVariable): The output burden in 1e-6 kg/m2. - """ - burden = var * 1e6 - burden.units = "1e-6 kg/m2" - return burden - - -# Add burden vars to derived_variables -for aero_burden_item in aero_burden_list: - derived_variables[f"_{aero_burden_item}"] = OrderedDict( - [((aero_burden_item,), aero_burden_fxn)] - ) - - -# Names of 2D mass slices of aerosol species -# Also add 3D masses while at it (if available) -aero_mass_list = [] -for aero_name in ["dst", "mom", "pom", "so4", "soa", "ncl", "bc"]: - for aero_lev in ["_srf", "_200", "_330", "_500", "_850", ""]: - # Note that the empty string (last entry) will get the 3D mass fields - aero_mass_list.append(f"Mass_{aero_name}{aero_lev}") - - -def aero_mass_fxn(var): - """ - Scale the given mass by 1e12. - - Parameters: - var (cdms2.TransientVariable): The input mass in kg/kg. - - Returns: - cdms2.TransientVariable: The aerosol mass concentration in 1e-12 kg/kg units. - """ - mass = var * 1e12 - mass.units = "1e-12 kg/kg" - return mass - - -# Add burden vars to derived_variables -for aero_mass_item in aero_mass_list: - derived_variables[f"_{aero_mass_item}"] = OrderedDict( - [((aero_mass_item,), aero_mass_fxn)] - ) - -# Add all the output_aerocom_aie.F90 variables to aero_rename_list -# components/eam/src/physics/cam/output_aerocom_aie.F90 -aero_aerocom_list = [ - "angstrm", - "aerindex", - "cdr", - "cdnc", - "cdnum", - "icnum", - "clt", - "lcc", - "lwp", - "iwp", - "icr", - "icc", - "cod", - "ccn", - "ttop", - "htop", - "ptop", - "autoconv", - "accretn", - "icnc", - "rh700", - "rwp", - "intccn", - "colrv", - "lwp2", - "iwp2", - "lwpbf", - "iwpbf", - "cdnumbf", - "icnumbf", - "aod400", - "aod700", - "colccn.1", - "colccn.3", - "ccn.1bl", - "ccn.3bl", -] - -# Add aerocom vars to derived_variables -for aero_aerocom_item in aero_aerocom_list: - derived_variables[aero_aerocom_item] = OrderedDict([((aero_aerocom_item,), rename)]) - - -def incldtop_cdnc(cdnc, lcc): - """ - Return the in-cloud cloud droplet number concentration at cloud top. - - Parameters: - cdnc (cdms2.TransientVariable): Cloud droplet number concentration in 1/m3. - lcc (cdms2.TransientVariable): Liquid cloud fraction. - - Returns: - var (cdms2.TransientVariable): In-cloud cdnc at cloud top in 1/cm3. - """ - var = cdnc * 1e-6 / lcc - var.units = "1/cm3" - var.long_name = "In-cloud-top CDNC" - return var - - -def cldtop_cdnc(cdnc): - """ - Return the in-grid cloud droplet number concentration at cloud top. - - Args: - cdnc (cdms2.TransientVariable): Cloud droplet number concentration in 1/m3. - - Returns: - var (cdms2.TransientVariable): In-grid cdnc at cloud top in 1/cm3. - """ - var = cdnc * 1e-6 - var.units = "1/cm3" - var.long_name = "In-grid cloud-top CDNC" - return var - - -def incldtop_icnc(icnc, icc): - """ - Return the in-cloud ice crystal number concentration at cloud top. - - Parameters: - icnc (cdms2.TransientVariable): ice crystal number concentration in 1/m3. - icc (cdms2.TransientVariable): ice cloud fraction. - - Returns: - var (cdms2.TransientVariable): In-cloud cdnc at cloud top in 1/cm3. - """ - var = icnc * 1e-6 / icc - var.units = "1/cm3" - var.long_name = "In-cloud-top ICNC" - return var - - -def cldtop_icnc(icnc): - """ - Return the in-grid ice crystal number concentration at cloud top. - - Args: - icnc (cdms2.TransientVariable): Cloud crystal number concentration in 1/m3. - - Returns: - var (cdms2.TransientVariable): In-grid icnc at cloud top in 1/cm3. - """ - var = icnc * 1e-6 - var.units = "1/cm3" - var.long_name = "In-grid cloud-top ICNC" - return var - - -def incld_lwp(lwp, lcc): - """ - Return the in-cloud liquid water path (LWP). - - Parameters: - lwp (cdms2.TransientVariable): Liquid water path in kg/m2. - lcc (cdms2.TransientVariable): Liquid cloud fraction. - - Returns: - cdms2.TransientVariable: In-cloud liquid water path in g/cm3. - """ - var = 1e3 * lwp / lcc - var.units = "g/cm3" - var.long_name = "In-cloud LWP" - return var - - -def cld_lwp(lwp): - """ - Return the grid-mean-cloud LWP in g/cm3. - - Parameters: - lwp (cdms2.TransientVariable): Liquid Water Path (LWP) value. - - Returns: - cdms2.TransientVariable: Grid-mean-cloud LWP in g/cm3. - """ - var = 1e3 * lwp - var.units = "g/cm3" - var.long_name = "In-grid LWP" - return var - - -def incld_iwp(iwp, icc): - """ - Return the in-cloud ice water path (IWP). - - Parameters: - iwp (cdms2.TransientVariable): Ice water path in kg/m2. - icc (cdms2.TransientVariable): Ice cloud fraction. - - Returns: - cdms2.TransientVariable: In-cloud IWP in g/cm3. - """ - var = 1e3 * iwp / icc - var.units = "g/cm3" - var.long_name = "In-cloud IWP" - return var - - -def cld_iwp(iwp): - """ - Return the in-grid ice water path (IWP). - - Parameters: - iwp (cdms2.TransientVariable): Ice water path in kg/m2. - - Returns: - cdms2.TransientVariable: In-grid IWP in g/cm3. - """ - var = 1e3 * iwp - var.units = "g/cm3" - var.long_name = "In-grid IWP" - return var - - -# add cdnc, icnc, lwp, iwp to derived_variables -derived_variables.update( - { - "in_cloud_cdnc": OrderedDict([(("cdnc", "lcc"), incldtop_cdnc)]), - "in_grid_cdnc": OrderedDict([(("cdnc",), cldtop_cdnc)]), - "in_cloud_icnc": OrderedDict([(("icnc", "icc"), incldtop_icnc)]), - "in_grid_icnc": OrderedDict([(("icnc",), cldtop_icnc)]), - "in_cloud_lwp": OrderedDict([(("lwp", "lcc"), incld_lwp)]), - "in_grid_lwp": OrderedDict([(("lwp",), cld_lwp)]), - "in_cloud_iwp": OrderedDict([(("iwp", "icc"), incld_iwp)]), - "in_grid_iwp": OrderedDict([(("iwp",), cld_iwp)]), - } -) - - -def erf_tot(fsnt, flnt): - """ - Calculate the total effective radiative forcing (ERFtot). - - Args: - fsnt (cdms2.TransientVariable): The incoming sw radiation at the top of the atmosphere. - flnt (cdms2.TransientVariable): The outgoing lw radiation at the top of the atmosphere. - - Returns: - var (cdms2.TransientVariable): The ERFtot which represents the total erf. - - See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 - """ - var = fsnt - flnt - var.units = "W/m2" - var.long_name = "ERFtot: total effect" - return var - - -def erf_ari(fsnt, flnt, fsnt_d1, flnt_d1): - """ - Calculate aerosol--radiation interactions (ARI) part of effective radiative forcing (ERF). - - Parameters: - fsnt (cdms2.TransientVariable): Net solar flux at the top of the atmosphere. - flnt (cdms2.TransientVariable): Net longwave flux at the top of the atmosphere. - fsnt_d1 (cdms2.TransientVariable): fsnt without aerosols. - flnt_d1 (cdms2.TransientVariable): flnt without aerosols. - - Returns: - var (cdms2.TransientVariable): ERFari (aka, direct effect) in W/m2. - - See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 - """ - var = (fsnt - flnt) - (fsnt_d1 - flnt_d1) - var.units = "W/m2" - var.long_name = "ERFari: direct effect" - return var - - -def erf_aci(fsnt_d1, flnt_d1, fsntc_d1, flntc_d1): - """ - Calculate aerosol--cloud interactions (ACI) part of effectie radiative forcing (ERF) - - Parameters: - fsnt_d1 (cdms2.TransientVariable): Downward shortwave radiation toa without aerosols. - flnt_d1 (cdms2.TransientVariable): Upward longwave radiation toa without aerosols. - fsntc_d1 (cdms2.TransientVariable): fsnt_d1 without clouds. - flntc_d1 (cdms2.TransientVariable): flnt_d1 without clouds. - - Returns: - var (cdms2.TransientVariable): ERFaci (aka, indirect effect) in W/m2. - - See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 - """ - var = (fsnt_d1 - flnt_d1) - (fsntc_d1 - flntc_d1) - var.units = "W/m2" - var.long_name = "ERFaci: indirect effect" - return var - - -def erf_res(fsntc_d1, flntc_d1): - """ - Calculate the residual effect (RES) part of effective radiative forcin g. - - Parameters: - fsntc_d1 (cdms2.TransientVariable): Downward solar radiation at the top of the atmosphere - with neither clouds nor aerosols. - flntc_d1 (cdms2.TransientVariable): Upward longwave radiation at the top of the atmosphere - with neither clouds nor aerosols. - - Returns: - var (cdms2.TransientVariable): ERFres (aka, surface effect) in W/m2. - - See Ghan 2013 for derivation of ERF decomposition: https://doi.org/10.5194/acp-13-9971-2013 - """ - var = fsntc_d1 - flntc_d1 - var.units = "W/m2" - var.long_name = "ERFres: residual effect" - return var - - -derived_variables.update( - { - "ERFtot": OrderedDict([(("FSNT", "FLNT"), erf_tot)]), - "ERFari": OrderedDict([(("FSNT", "FLNT", "FSNT_d1", "FLNT_d1"), erf_ari)]), - "ERFaci": OrderedDict( - [(("FSNT_d1", "FLNT_d1", "FSNTC_d1", "FLNTC_d1"), erf_aci)] - ), - "ERFres": OrderedDict([(("FSNTC_d1", "FLNTC_d1"), erf_res)]), - } -) - -# Add more AOD terms -# Note that AODVIS and AODDUST are already added elsewhere -aero_aod_list = [ - "AODBC", - "AODPOM", - "AODMOM", - "AODSO4", - "AODSO4_STR", - "AODSO4_TRO", - "AODSS", - "AODSOA", -] - -# Add aod vars to derived_variables -for aero_aod_item in aero_aod_list: - derived_variables[aero_aod_item] = OrderedDict([((aero_aod_item,), rename)]) - -# Add 3D variables related to aerosols and chemistry -# Note that O3 is already added above -# Note that 3D mass vars are already added by the empty string above "" -# Note that it is possible to create on-the-fly slices from these variables with -# a function of the form: -# def aero_3d_slice(var, lev): -# return var[lev, :, :] -aero_chem_list = [ - "DMS", - "H2O2", - "H2SO4", - "NO3", - "OH", - "SO2", -] - -# Add aero/chem vars to derived_variables -for aero_chem_item in aero_chem_list: - derived_variables[aero_chem_item] = OrderedDict([((aero_chem_item,), rename)]) diff --git a/e3sm_diags/derivations/default_regions.py b/e3sm_diags/derivations/default_regions.py deleted file mode 100644 index b485789e2..000000000 --- a/e3sm_diags/derivations/default_regions.py +++ /dev/null @@ -1,187 +0,0 @@ -""" -WARNING: This module will be deprecated and replaced with -`default_regions_xr.py` once all diagnostic sets are refactored to use that file. -""" -import cdutil - -regions_specs = { - "NHEX": {"domain": cdutil.region.domain(latitude=(30.0, 90, "ccb"))}, - "SHEX": {"domain": cdutil.region.domain(latitude=(-90.0, -30, "ccb"))}, - "TROPICS": {"domain": cdutil.region.domain(latitude=(-30.0, 30, "ccb"))}, - "global": {}, - "TRMM_region": {"domain": cdutil.region.domain(latitude=(-38.0, 38, "ccb"))}, - "90S50S": {"domain": cdutil.region.domain(latitude=(-90.0, -50, "ccb"))}, - "50S20S": {"domain": cdutil.region.domain(latitude=(-50.0, -20, "ccb"))}, - "20S20N": {"domain": cdutil.region.domain(latitude=(-20.0, 20, "ccb"))}, - "50S50N": {"domain": cdutil.region.domain(latitude=(-50.0, 50, "ccb"))}, - "5S5N": {"domain": cdutil.region.domain(latitude=(-5.0, 5, "ccb"))}, - "20N50N": {"domain": cdutil.region.domain(latitude=(20.0, 50, "ccb"))}, - "50N90N": {"domain": cdutil.region.domain(latitude=(50.0, 90, "ccb"))}, - "60S90N": {"domain": cdutil.region.domain(latitude=(-60.0, 90, "ccb"))}, - "60S60N": {"domain": cdutil.region.domain(latitude=(-60.0, 60, "ccb"))}, - "75S75N": {"domain": cdutil.region.domain(latitude=(-75.0, 75, "ccb"))}, - "ocean": { - "value": 0.65, - }, - "ocean_seaice": { - "value": 0.65, - }, - "land": { - "value": 0.65, - }, - "land_60S90N": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(-60.0, 90, "ccb")), - }, - "ocean_TROPICS": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(-30.0, 30, "ccb")), - }, - "land_NHEX": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(30.0, 90, "ccb")), - }, - "land_SHEX": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(-90.0, -30, "ccb")), - }, - "land_TROPICS": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(-30.0, 30, "ccb")), - }, - "ocean_NHEX": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(30.0, 90, "ccb")), - }, - "ocean_SHEX": { - "value": 0.65, - "domain": cdutil.region.domain(latitude=(-90.0, -30, "ccb")), - }, - # follow AMWG polar range,more precise selector - "polar_N": {"domain": cdutil.region.domain(latitude=(50.0, 90.0, "ccb"))}, - "polar_S": {"domain": cdutil.region.domain(latitude=(-90.0, -55.0, "ccb"))}, - # To match AMWG results, the bounds is not as precise in this case - # 'polar_N_AMWG':{'domain': Selector(latitude=(50., 90.))}, - # 'polar_S_AMWG':{'domain': Selector(latitude=(-90., -55.))}, - # Below is for modes of variability - "NAM": { - "domain": cdutil.region.domain( - latitude=(20.0, 90, "ccb"), longitude=(-180, 180, "ccb") - ) - }, - "NAO": { - "domain": cdutil.region.domain( - latitude=(20.0, 80, "ccb"), longitude=(-90, 40, "ccb") - ) - }, - "SAM": { - "domain": cdutil.region.domain( - latitude=(-20.0, -90, "ccb"), longitude=(0, 360, "ccb") - ) - }, - "PNA": { - "domain": cdutil.region.domain( - latitude=(20.0, 85, "ccb"), longitude=(120, 240, "ccb") - ) - }, - "PDO": { - "domain": cdutil.region.domain( - latitude=(20.0, 70, "ccb"), longitude=(110, 260, "ccb") - ) - }, - # Below is for monsoon domains - # All monsoon domains - "AllM": { - "domain": cdutil.region.domain( - latitude=(-45.0, 45.0, "ccb"), longitude=(0.0, 360.0, "ccb") - ) - }, - # North American Monsoon - "NAMM": { - "domain": cdutil.region.domain( - latitude=(0.0, 45.0, "ccb"), longitude=(210.0, 310.0, "ccb") - ) - }, - # South American Monsoon - "SAMM": { - "domain": cdutil.region.domain( - latitude=(-45.0, 0.0, "ccb"), longitude=(240.0, 330.0, "ccb") - ) - }, - # North African Monsoon - "NAFM": { - "domain": cdutil.region.domain( - latitude=(0.0, 45.0, "ccb"), longitude=(310.0, 60.0, "ccb") - ) - }, - # South African Monsoon - "SAFM": { - "domain": cdutil.region.domain( - latitude=(-45.0, 0.0, "ccb"), longitude=(0.0, 90.0, "ccb") - ) - }, - # Asian Summer Monsoon - "ASM": { - "domain": cdutil.region.domain( - latitude=(0.0, 45.0, "ccb"), longitude=(60.0, 180.0, "ccb") - ) - }, - # Australian Monsoon - "AUSM": { - "domain": cdutil.region.domain( - latitude=(-45.0, 0.0, "ccb"), longitude=(90.0, 160.0, "ccb") - ) - }, - # Below is for NINO domains. - "NINO3": { - "domain": cdutil.region.domain( - latitude=(-5.0, 5.0, "ccb"), longitude=(210.0, 270.0, "ccb") - ) - }, - "NINO34": { - "domain": cdutil.region.domain( - latitude=(-5.0, 5.0, "ccb"), longitude=(190.0, 240.0, "ccb") - ) - }, - "NINO4": { - "domain": cdutil.region.domain( - latitude=(-5.0, 5.0, "ccb"), longitude=(160.0, 210.0, "ccb") - ) - }, - # Below is for additional domains for diurnal cycle of precipitation - "W_Pacific": { - "domain": cdutil.region.domain( - latitude=(-20.0, 20.0, "ccb"), longitude=(90.0, 180.0, "ccb") - ) - }, - "CONUS": { - "domain": cdutil.region.domain( - latitude=(25.0, 50.0, "ccb"), longitude=(-125.0, -65.0, "ccb") - ) - }, - "Amazon": { - "domain": cdutil.region.domain( - latitude=(-20.0, 5.0, "ccb"), longitude=(-80.0, -45.0, "ccb") - ) - }, - # Below is for RRM(regionally refined model) domains. - # 'CONUS_RRM': {'domain': cdutil.region.domain(latitude=(20., 50., 'ccb'), longitude=(-125., -65., 'ccb'))},For RRM dataset, negative value won't work - "CONUS_RRM": { - "domain": cdutil.region.domain( - latitude=(20.0, 50.0, "ccb"), longitude=(235.0, 295.0, "ccb") - ) - }, - # Below is for debugging. A smaller latitude range reduces processing time. - "DEBUG": {"domain": cdutil.region.domain(latitude=(-2.0, 2, "ccb"))}, -} - -points_specs = { - # ARM sites coordinates, select nearest grid poit to ARM site coordinates - # Each point is supplied with [latitude, longitude ,select method, description of the point] - "sgpc1": [36.4, -97.5, "cob", "97.5W 36.4N Oklahoma ARM"], - "nsac1": [71.3, -156.6, "cob", "156.6W 71.3N Barrow ARM"], - "twpc1": [-2.1, 147.4, "cob", "147.4E 2.1S Manus ARM"], - "twpc2": [-0.5, 166.9, "cob", "166.9E 0.5S Nauru ARM"], - "twpc3": [-12.4, 130.9, "cob", "130.9E 12.4S Darwin ARM"], - "enac1": [39.1, -28.0, "cob", "28.0E 39.1N Graciosa Island ARM"], -} diff --git a/e3sm_diags/derivations/utils.py b/e3sm_diags/derivations/utils.py index ab8e8a2e9..7c1fd7e92 100644 --- a/e3sm_diags/derivations/utils.py +++ b/e3sm_diags/derivations/utils.py @@ -2,8 +2,8 @@ This module defines general utilities for deriving variables, including unit conversion functions, renaming variables, etc. """ +import cf_units import xarray as xr -from genutil import udunits def rename(new_name: str): @@ -82,9 +82,9 @@ def convert_units(var: xr.DataArray, target_units: str): # noqa: C901 elif var.attrs["units"] in ["gN/m^2/day", "gP/m^2/day", "gC/m^2/day"]: pass else: - # FIXME: Replace genutil.udunits module. - temp = udunits(1.0, var.attrs["units"]) - coeff, offset = temp.how(target_units) + temp = cf_units.Unit(var.attrs["units"]) + target = cf_units.Unit(target_units) + coeff, offset = temp.convert(1, target), temp.convert(0, target) # Keep all of the attributes except the units. with xr.set_options(keep_attrs=True): diff --git a/e3sm_diags/driver/aerosol_budget_driver.py b/e3sm_diags/driver/aerosol_budget_driver.py index 2c7bff71e..6d7147f1d 100644 --- a/e3sm_diags/driver/aerosol_budget_driver.py +++ b/e3sm_diags/driver/aerosol_budget_driver.py @@ -17,7 +17,7 @@ import e3sm_diags from e3sm_diags.driver.utils.climo_xr import ClimoFreq from e3sm_diags.driver.utils.dataset_xr import Dataset -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.io import _get_output_dir from e3sm_diags.driver.utils.regrid import _hybrid_to_pressure from e3sm_diags.driver.utils.type_annotations import MetricsDict from e3sm_diags.logger import custom_logger @@ -107,7 +107,7 @@ def run_diag(parameter: CoreParameter) -> CoreParameter: parameter.output_file = f"{parameter.test_name}-{season}-budget-table" fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file + ".csv", ) diff --git a/e3sm_diags/driver/area_mean_time_series_driver.py b/e3sm_diags/driver/area_mean_time_series_driver.py index 997cb1599..99febcd27 100644 --- a/e3sm_diags/driver/area_mean_time_series_driver.py +++ b/e3sm_diags/driver/area_mean_time_series_driver.py @@ -7,13 +7,13 @@ import xarray as xr import xcdat as xc -from e3sm_diags.driver import LAND_OCEAN_MASK_PATH, utils +from e3sm_diags.driver import LAND_OCEAN_MASK_PATH from e3sm_diags.driver.utils.dataset_xr import Dataset, squeeze_time_dim -from e3sm_diags.driver.utils.io import _write_to_netcdf +from e3sm_diags.driver.utils.io import _get_output_dir, _write_to_netcdf from e3sm_diags.driver.utils.regrid import _apply_land_sea_mask, _subset_on_region from e3sm_diags.logger import custom_logger from e3sm_diags.metrics.metrics import spatial_avg -from e3sm_diags.plot.cartopy import area_mean_time_series_plot +from e3sm_diags.plot import area_mean_time_series_plot if TYPE_CHECKING: from e3sm_diags.parameter.area_mean_time_series_parameter import ( @@ -106,7 +106,7 @@ def run_diag(parameter: AreaMeanTimeSeriesParameter) -> AreaMeanTimeSeriesParame # ------------------------------------------------------------------ parameter.output_file = "-".join([var, region]) fnm = os.path.join( - utils.general.get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file + ".json", ) diff --git a/e3sm_diags/driver/utils/__init__.py b/e3sm_diags/driver/utils/__init__.py index f96321a52..e69de29bb 100644 --- a/e3sm_diags/driver/utils/__init__.py +++ b/e3sm_diags/driver/utils/__init__.py @@ -1 +0,0 @@ -from . import dataset, diurnal_cycle, general, zwf_functions diff --git a/e3sm_diags/driver/utils/climo.py b/e3sm_diags/driver/utils/climo.py deleted file mode 100644 index 2a8d4b485..000000000 --- a/e3sm_diags/driver/utils/climo.py +++ /dev/null @@ -1,111 +0,0 @@ -"""" -The original E3SM diags climatology function, which operates on -`cdms2.TransientVariable`. - -WARNING: This function will be deprecated the driver for each diagnostic sets -is refactored to use `climo_xr.py`. -""" -import cdms2 -import numpy as np -import numpy.ma as ma - - -def climo(var, season): - """ - Compute the climatology for var for the given season. - The returned variable must be 2 dimensional. - """ - season_idx = { - "01": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - "02": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - "03": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], - "04": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], - "05": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], - "06": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], - "07": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], - "08": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], - "09": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], - "10": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], - "11": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], - "12": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], - "DJF": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], - "MAM": [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], - "JJA": [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], - "SON": [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], - "ANN": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], - } - - # Redefine time to be in the middle of the time interval - var_time = var.getTime() - if var_time is None: - # Climo cannot be ran on this variable. - return var - - tbounds = var_time.getBounds() - var_time[:] = 0.5 * (tbounds[:, 0] + tbounds[:, 1]) - var_time_absolute = var_time.asComponentTime() - - # Compute time length - dt = tbounds[:, 1] - tbounds[:, 0] - - # Convert to masked array - v = var.asma() - - # Compute climatology - if season == "ANNUALCYCLE": - cycle = [ - "01", - "02", - "03", - "04", - "05", - "06", - "07", - "08", - "09", - "10", - "11", - "12", - ] - elif season == "SEASONALCYCLE": - cycle = ["DJF", "MAM", "JJA", "SON"] - else: - cycle = [season] - - ncycle = len(cycle) - climo = ma.zeros([ncycle] + list(np.shape(v))[1:]) - for n in range(ncycle): - idx = np.array( - [ - season_idx[cycle[n]][var_time_absolute[i].month - 1] - for i in range(len(var_time_absolute)) - ], - dtype=int, - ).nonzero() - climo[n] = ma.average(v[idx], axis=0, weights=dt[idx]) - - trans_var = cdms2.createVariable(climo)(squeeze=1) - # Losing the grid after a squeeze is normal, we need to set it again. - trans_var.setGrid(var.getGrid()) - # Set the correct axis as well. - if var.getLongitude() and var.getLatitude(): - trans_var.setAxis(0, var.getAxis(1)) - trans_var.setAxis(1, var.getAxis(2)) - if var.getLevel(): - # If it's a 3D variable, set the last axis. - trans_var.setAxis(2, var.getAxis(3)) - - # Copy any missing attributes from var to trans_var. - # The below doesn't work, since MaskedArrays apparently - # can't be set as attributes from another object. - # for attr in dir(var): - # if not attr.startswith('__'): - # old_attr = getattr(var, attr) - # setattr(trans_var, attr, old_attr) - - trans_var.attributes = var.attributes - trans_var.units = var.units - trans_var.id = var.id - trans_var.long_name = var.long_name - - return trans_var diff --git a/e3sm_diags/driver/utils/dataset.py b/e3sm_diags/driver/utils/dataset.py deleted file mode 100644 index f1e0ae6f5..000000000 --- a/e3sm_diags/driver/utils/dataset.py +++ /dev/null @@ -1,720 +0,0 @@ -""" -Get a variable from input data (either reference or test data). -This data can either be climatology files or timeseries files. -Derived variables are also supported. -""" -import collections -import fnmatch -import glob -import os -import re - -import cdms2 - -import e3sm_diags.derivations.acme -from e3sm_diags.driver import utils - -from . import climo - - -class Dataset: - def __init__( - self, - parameters, - ref=False, - test=False, - derived_vars={}, - climo_fcn=None, - ): - self.parameters = parameters - self.ref = ref - self.test = test - self.derived_vars = derived_vars - self.climo_fcn = climo_fcn - - if self.ref is False and self.test is False: - msg = "Both ref and test cannot be False. One must be True." - raise RuntimeError(msg) - elif self.ref is True and self.test is True: - msg = "Both ref and test cannot be True. Only one must be True." - raise RuntimeError(msg) - - if not self.derived_vars: - # Use the default derived variables. - self.derived_vars = e3sm_diags.derivations.acme.derived_variables - - if not self.climo_fcn: - # Use the default climo function. - self.climo_fcn = climo.climo - - if hasattr(self.parameters, "derived_variables"): - self._add_user_derived_vars() - - def _add_user_derived_vars(self): - """ - If the user-defined derived variables is in the input parameters, append - parameters.derived_variables to the correct part of self.derived_vars. - """ - key_val_pairs = self.parameters.derived_variables.items() - for derived_var, original_vars in list(key_val_pairs): - # Append the user-defined vars to the already defined ones. - if derived_var in self.derived_vars: - # Put user-defined derived vars first in the OrderedDict. - # That's why we create a new one. - new_dict = collections.OrderedDict(original_vars) - # Add all of the default derived vars to the end of new_dict. - for k in self.derived_vars[derived_var]: - # Don't overwrite the user-defined var with a default derived var. - if k in new_dict: - continue - new_dict[k] = self.derived_vars[derived_var][k] - self.derived_vars[derived_var] = new_dict - # Otherwise, this is a new derived var, so add it as a new entry. - else: - self.derived_vars[derived_var] = original_vars - - def get_timeseries_variable( - self, var, extra_vars=[], single_point=False, *args, **kwargs - ): - """ - Get the variable and any extra variables, only if they are timeseries files. - These variables can either be from the test data or reference data. - """ - self.var = var - self.extra_vars = extra_vars - - if not self.is_timeseries(): - msg = "You can only use this function with timeseries data." - raise RuntimeError(msg) - - if self.ref: - # Get the reference variable from timeseries files. - data_path = self.parameters.reference_data_path - variables = self._get_timeseries_var(data_path, *args, **kwargs) - - elif self.test: - # Get the test variable from timeseries files. - data_path = self.parameters.test_data_path - variables = self._get_timeseries_var(data_path, *args, **kwargs) - - else: - msg = "Error when determining what kind (ref or test)of variable to get." - raise RuntimeError(msg) - - # Needed so we can do: - # v1 = Dataset.get_variable('v1', season) - # and also: - # v1, v2, v3 = Dataset.get_variable('v1', season, extra_vars=['v2', 'v3']) - - # Need to double check sub_monthly flag when applying to sub_monthly time series later - sub_monthly = False - - if single_point: - sub_monthly = True - - for variable in variables: - if variable.getTime() and not sub_monthly: - variable = utils.general.adjust_time_from_time_bounds(variable) - return variables[0] if len(variables) == 1 else variables - - def get_climo_variable(self, var, season, extra_vars=[], *args, **kwargs): - """ - For a given season, get the variable and any extra variables and run - the climatology on them. - These variables can either be from the test data or reference data. - """ - self.var = var - self.extra_vars = extra_vars - - if not self.var: - raise RuntimeError("Variable is invalid.") - if not season: - raise RuntimeError("Season is invalid.") - - # We need to make two decisions: - # 1) Are the files being used reference or test data? - # - This is done with self.ref and self.test. - # 2) Are the files being used climo or timeseries files? - # - This is done with the ref_timeseries_input and test_timeseries_input parameters. - if self.ref and self.is_timeseries(): - # Get the reference variable from timeseries files. - data_path = self.parameters.reference_data_path - timeseries_vars = self._get_timeseries_var(data_path, *args, **kwargs) - # Run climo on the variables. - variables = [self.climo_fcn(v, season) for v in timeseries_vars] - - elif self.test and self.is_timeseries(): - # Get the test variable from timeseries files. - data_path = self.parameters.test_data_path - timeseries_vars = self._get_timeseries_var(data_path, *args, **kwargs) - # Run climo on the variables. - variables = [self.climo_fcn(v, season) for v in timeseries_vars] - - elif self.ref: - # Get the reference variable from climo files. - filename = self.get_ref_filename_climo(season) - variables = self._get_climo_var(filename, *args, **kwargs) - - elif self.test: - # Get the test variable from climo files. - filename = self.get_test_filename_climo(season) - variables = self._get_climo_var(filename, *args, **kwargs) - - else: - msg = "Error when determining what kind (ref or test) " - msg += "of variable to get and where to get it from " - msg += "(climo or timeseries files)." - raise RuntimeError(msg) - - # Needed so we can do: - # v1 = Dataset.get_variable('v1', season) - # and also: - # v1, v2, v3 = Dataset.get_variable('v1', season, extra_vars=['v2', 'v3']) - return variables[0] if len(variables) == 1 else variables - - def get_static_variable(self, static_var, primary_var): - if self.ref: - # Get the reference variable from timeseries files. - data_path = self.parameters.reference_data_path - elif self.test: - # Get the test variable from timeseries files. - data_path = self.parameters.test_data_path - file_path = self._get_timeseries_file_path(primary_var, data_path) - fin = cdms2.open(file_path) - result = fin(static_var) - fin.close() - return result - - def is_timeseries(self): - """ - Return True if this dataset is for timeseries data. - """ - if self.ref: - return getattr(self.parameters, "ref_timeseries_input", False) - else: - return getattr(self.parameters, "test_timeseries_input", False) - - def is_climo(self): - """ - Return True if this dataset is for climo data. - """ - return not self.is_timeseries() - - def get_extra_variables_only(self, var, season, extra_vars): - """ - For a given season, get only the extra variables. - These can either be from the test data or reference data. - """ - if not extra_vars: - raise RuntimeError("Extra variables cannot be empty.") - - if self.is_climo(): - return self.get_climo_variable( - var, season, extra_vars, extra_vars_only=True - ) - else: - return self.get_timeseries_variable(var, extra_vars, extra_vars_only=True) - - return self.get_climo_variable(var, season, extra_vars, extra_vars_only=True) - - def get_attr_from_climo(self, attr, season): - """ - For the given season, get the global attribute - from the corresponding climo file. - """ - if self.is_timeseries(): - raise RuntimeError("Cannot get a global attribute from timeseries files.") - - if self.ref: - filename = self.get_ref_filename_climo(season) - else: - filename = self.get_test_filename_climo(season) - - with cdms2.open(filename) as f: - return f.getglobal(attr) - - def get_start_and_end_years(self): - """ - Get the user-defined start and end years. - """ - sub_monthly = False - if self.parameters.sets[0] in ["area_mean_time_series"]: - start_yr = getattr(self.parameters, "start_yr") - end_yr = getattr(self.parameters, "end_yr") - else: - if self.ref: - start_yr = getattr(self.parameters, "ref_start_yr") - end_yr = getattr(self.parameters, "ref_end_yr") - - else: - start_yr = getattr(self.parameters, "test_start_yr") - end_yr = getattr(self.parameters, "test_end_yr") - - if self.parameters.sets[0] in ["diurnal_cycle", "arm_diags"]: - sub_monthly = True - - return start_yr, end_yr, sub_monthly - - def get_test_filename_climo(self, season): - """ - Return the path to the test file name based on - the season and other parameters. - For climo files only. - """ - path = self.parameters.test_data_path - data_name = self.parameters.test_name - - if hasattr(self.parameters, "test_file"): - fnm = os.path.join(path, self.parameters.test_file) - if not os.path.exists(fnm): - raise IOError("File not found: {}".format(fnm)) - return fnm - - return self._get_climo_filename(path, data_name, season) - - def get_ref_filename_climo(self, season): - """ - Return the path to the reference file name based on - the season and other parameters. - For climo files only. - """ - path = self.parameters.reference_data_path - data_name = self.parameters.ref_name - - if ( - hasattr(self.parameters, "ref_file") - and getattr(self.parameters, "ref_file") != "" - ): - fnm = os.path.join(path, self.parameters.ref_file) - if not os.path.exists(fnm): - raise IOError("File not found: {}".format(fnm)) - return fnm - - return self._get_climo_filename(path, data_name, season) - - def _get_climo_filename(self, path, data_name, season): - """ - For climo files, return the path of the file based on the parameters. - If the file isn't found, try looking for it in path/data_name/ dir as well. - """ - fnm = self._find_climo_file(path, data_name, season) - if not os.path.exists(fnm): - # Try looking for the file nested in a folder, based on the test_name. - pth = os.path.join(path, data_name) - if os.path.exists(pth): - fnm = self._find_climo_file(pth, data_name, season) - - if not os.path.exists(fnm): - raise IOError( - "No file found for {} and {} in {}".format(data_name, season, path) - ) - - return fnm - - def _find_climo_file(self, path_name, data_name, season): - """ - Locate climatology file name based on data_name and season. - """ - dir_files = sorted(os.listdir(path_name)) - for filename in dir_files: - if filename.startswith(data_name + "_" + season): - return os.path.join(path_name, filename) - # The below is only ran on model data, because a shorter name is passed into this software. Won't work when use month name such as '01' as season. - for filename in dir_files: - if season in [ - "ANN", - "DJF", - "MAM", - "JJA", - "SON", - "01", - "02", - "03", - "04", - "05", - "06", - "07", - "08", - "09", - "10", - "11", - "12", - ]: - if filename.startswith(data_name) and season in filename: - return os.path.join(path_name, filename) - # No file found. - return "" - - def _get_climo_var(self, filename, extra_vars_only=False): - """ - For a given season and climo input data, - get the variable (self.var). - - If self.extra_vars is also defined, get them as well. - """ - vars_to_get = [] - if not extra_vars_only: - vars_to_get.append(self.var) - vars_to_get.extend(self.extra_vars) - return_variables = [] - - with cdms2.open(filename) as data_file: - for var in vars_to_get: - # If it's a derived var, get that. - if var in self.derived_vars: - # Ex: {('PRECC', 'PRECL'): func, ('pr',): func1, ...}, is an OrderedDict. - possible_vars_and_funcs = self.derived_vars[var] - - # Get the first valid variables and functions from possible vars. - # Ex: {('PRECC', 'PRECL'): func} - # These are checked to be in data_file. - vars_to_func_dict = self._get_first_valid_vars_climo( - possible_vars_and_funcs, data_file, var - ) - - # Get the variables as cdms2.TransientVariables. - # Ex: variables is [PRECC, PRECL], where both are cdms2.TransientVariables. - variables = self._get_original_vars_climo( - vars_to_func_dict, data_file - ) - - # Get the corresponding function. - # Ex: The func in {('PRECC', 'PRECL'): func}. - func = self._get_func(vars_to_func_dict) - - # Call the function with the variables. - derived_var = func(*variables) - - # Or if the var is in the file, just get that. - elif var in data_file.variables: - derived_var = data_file(var)(squeeze=1) - - # Otherwise, there's an error. - else: - msg = "Variable '{}' was not in the file {}, nor was".format( - var, data_file.uri - ) - msg += " it defined in the derived variables dictionary." - raise RuntimeError(msg) - - return_variables.append(derived_var) - - return return_variables - - def _get_first_valid_vars_climo(self, vars_to_func_dict, data_file, var): - """ - Given an OrderedDict of a list of variables to a function - ex: {('PRECC', 'PRECL'): func, ('var2',): func2}, - return the first valid {(vars): func} where the vars are in data_file. - - var is the actual variable the user requested. - If none of the derived variables work, we try to just get this from the data_file. - """ - vars_in_file = set(data_file.variables) - possible_vars = list( - vars_to_func_dict.keys() - ) # ex: [('pr',), ('PRECC', 'PRECL')] - - # Add support for wild card `?` in variable strings: ex ('bc_a?DDF', 'bc_c?DDF') - for list_of_vars in possible_vars: - matched_var_list = list(list_of_vars).copy() - for var_list in list_of_vars: - if "?" in var_list: - matched_var_list += fnmatch.filter(list(vars_in_file), var_list) - matched_var_list.remove(var_list) - - if vars_in_file.issuperset(tuple(matched_var_list)): - # All of the variables (list_of_vars) are in data_file. - # Return the corresponding dict. - return {tuple(matched_var_list): vars_to_func_dict[list_of_vars]} - - # None of the entries in the derived vars dictionary work, - # so try to get the var directly. - # Only try this if var actually exists in data_file. - if var in data_file.variables: - # The below will just cause var to get extracted from the data_file. - return {(var,): lambda x: x} - - # Otherwise, there's no way to get the variable. - msg = "Neither does {} nor the variables in {}".format(var, possible_vars) - msg += " exist in the file {}.".format(data_file.uri) - raise RuntimeError(msg) - - def _get_original_vars_climo(self, vars_to_func_dict, data_file): - """ - Given a dictionary in the form {(vars): func}, get the vars - from the data_file as cdms2.TransientVariables. - - These vars were checked to actually be in data_file. - """ - # Since there's only one set of vars, we get the first - # and only set of vars from the dictionary. - vars_to_get = list(vars_to_func_dict.keys())[0] - - variables = [data_file(var)(squeeze=1) for var in vars_to_get] - - return variables - - def _get_func(self, vars_to_func_dict): - """ - Get the function from the first and only entry in vars_to_func_dict, - which is in the form {(vars): func}. - """ - for k in vars_to_func_dict: - return vars_to_func_dict[k] - - def _get_timeseries_var(self, data_path, extra_vars_only=False): - """ - For a given season and timeseries input data, - get the variable (self.var). - - If self.extra_vars is also defined, get them as well. - """ - # Can't iterate through self.var and self.extra_vars as we do in _get_climo_var() - # b/c the extra_vars must be taken from the same timeseries file as self.var. - # So once we got a working vars_to_func_dict, we need to use this to get the extra_vars. - - return_variables = [] - - # If it's a derived var, get that. - if self.var in self.derived_vars: - # Ex: {('PRECC', 'PRECL'): func, ('pr'): func1, ...}, is an OrderedDict. - possible_vars_and_funcs = self.derived_vars[self.var] - - # Get the first valid variables and functions from possible vars. - # Ex: {('PRECC', 'PRECL'): func} - # These are checked, so there are valid timeseries files in data_path for these variables. - vars_to_func_dict = self._get_first_valid_vars_timeseries( - possible_vars_and_funcs, data_path - ) - - # We do want the self.var. - if not extra_vars_only: - # Open the files of the variables and get the cdms2.TransientVariables. - # Ex: [PRECC, PRECL], where both are TransientVariables. - variables = self._get_original_vars_timeseries( - vars_to_func_dict, data_path - ) - - # Get the corresponding function. - # Ex: The func in {('PRECC', 'PRECL'): func}. - func = self._get_func(vars_to_func_dict) - - # Call the function with the variables. - derived_var = func(*variables) - return_variables.append(derived_var) - - # Add any extra variables. - # For a variable that is a derived variable, get all of the extra variables - # from the 'first' original var. - # Ex: We have {('PRECC', 'PRECL'): func} for PRECT. - # Any extra variables must come from PRECC_{start_yr}01_{end_yr}12.nc. - first_orig_var = list(vars_to_func_dict.keys())[0][0] - for extra_var in self.extra_vars: - v = self._get_var_from_timeseries_file( - first_orig_var, data_path, var_to_get=extra_var - ) - return_variables.append(v) - - # Or if the timeseries file for the var exists, get that. - elif self._get_timeseries_file_path(self.var, data_path): - # We do want the self.var. - if not extra_vars_only: - # Find {var}_{start_yr}01_{end_yr}12.nc in data_path and get var from it. - v = self._get_var_from_timeseries_file(self.var, data_path) - return_variables.append(v) - - # Also get any extra vars. - for extra_var in self.extra_vars: - v = self._get_var_from_timeseries_file( - self.var, data_path, var_to_get=extra_var - ) - return_variables.append(v) - - # Otherwise, there's an error. - else: - msg = "Variable '{}' doesn't have a file in the".format(self.var) - msg += " directory {}, nor was".format(data_path) - msg += " it defined in the derived variables dictionary." - raise RuntimeError(msg) - - return return_variables - - def _get_first_valid_vars_timeseries(self, vars_to_func_dict, data_path): - """ - Given an OrderedDict of a list of variables to a function - ex: {('PRECC', 'PRECL'): func, ('var2',): func2}, - return the first valid {(vars): func} where the vars are variables from files in the form: - {var}_{start_yr}01_{end_yr}12.nc - located in data_path. - - If none of the derived variables work, we try to just get self.var in a file like: - {self.var}_{start_yr}01_{end_yr}12.nc - located in data_path. - """ - possible_vars = list( - vars_to_func_dict.keys() - ) # ex: [('pr',), ('PRECC', 'PRECL')] - - for list_of_vars in possible_vars: - # Check that there are files in data_path that exist for all variables in list_of_vars. - if all( - self._get_timeseries_file_path(var, data_path) for var in list_of_vars - ): - # All of the variables (list_of_vars) have files in data_path. - # Return the corresponding dict. - return {list_of_vars: vars_to_func_dict[list_of_vars]} - - # None of the entries in the derived vars dictionary are valid, - # so try to get the var directly. - # Only try this if there is a corresponding file for var in data_path. - if self._get_timeseries_file_path(self.var, data_path): - # The below will just cause var to get extracted in {var}_{start_yr}01_{end_yr}12.nc. - return {(self.var,): lambda x: x} - - # Otherwise, there's no way to get the variable. - msg = "Neither does {} nor the variables in {}".format(self.var, possible_vars) - msg += " have valid files in {}.".format(data_path) - raise RuntimeError(msg) - - def _get_timeseries_file_path(self, var, data_path): - """ - Returns the file path if a file exists in data_path in the form: - {var}_{start_yr}01_{end_yr}12.nc - Or - {self.parameters.ref_name}/{var}_{start_yr}01_{end_yr}12.nc - This is equivalent to returning True if the file exists. - - If there are multiple files that exist for a variable - (with different start_yr or end_yr), return ''. - This is equivalent to returning False. - """ - # Get all of the nc file paths in data_path. - - # path = os.path.join(data_path, '*.nc') - path = os.path.join(data_path, "*.*") - files = sorted(glob.glob(path)) - - # Both .nc and .xml files are supported - file_fmt = "" - if len(files) > 0: - file_fmt = files[0].split(".")[-1] - - # Everything between '{var}_' and '.nc' in a - # time-series file is always 13 characters. - if self.parameters.sets[0] in ["arm_diags"]: - site = getattr(self.parameters, "regions", "") - re_str = var + "_" + site[0] + r"_.{13}." + file_fmt - else: - re_str = var + r"_.{13}." + file_fmt - re_str = os.path.join(data_path, re_str) - matches = [f for f in files if re.search(re_str, f)] - - if len(matches) == 1: - return matches[0] - elif len(matches) >= 2: - msg = "For the variable {} you have two timeseries files in the ".format( - var - ) - msg += "directory: {} This currently isn't supported.".format(data_path) - raise RuntimeError(msg) - - # If nothing was found, try looking for the file with - # the ref_name prepended to it. - ref_name = getattr(self.parameters, "ref_name", "") - # path = os.path.join(data_path, ref_name, '*.nc') - path = os.path.join(data_path, ref_name, "*.*") - files = sorted(glob.glob(path)) - # Both .nc and .xml files are supported - file_fmt = "" - if len(files) > 0: - file_fmt = files[0].split(".")[-1] - - # Everything between '{var}_' and '.nc' in a - # time-series file is always 13 characters. - re_str = var + r"_.{13}." + file_fmt - re_str = os.path.join(data_path, ref_name, re_str) - matches = [f for f in files if re.search(re_str, f)] - # Again, there should only be one file per var in this new location. - if len(matches) == 1: - return matches[0] - elif len(matches) >= 2: - msg = "For the variable {} you have two timeseries files in the ".format( - var - ) - msg += "directory: {} This currently isn't supported.".format(data_path) - raise RuntimeError(msg) - else: - return "" - - def _get_original_vars_timeseries(self, vars_to_func_dict, data_path): - """ - Given a dictionary in the form {(vars): func}, get the vars - from files in data_path as cdms2.TransientVariables. - - These vars were checked to actually be in - data_path in _get_first_valid_vars_timeseries(). - """ - # Since there's only one set of vars, we get the first - # and only set of vars from the dictionary. - vars_to_get = list(vars_to_func_dict.keys())[0] - - variables = [] - for var in vars_to_get: - v = self._get_var_from_timeseries_file(var, data_path) - variables.append(v) - - return variables - - def _get_var_from_timeseries_file(self, var, data_path, var_to_get=""): - """ - Get the actual var from the timeseries file for var. - If var_to_get is defined, get that from the file instead of var. - - This function is only called after it's checked that a file - for this var exists in data_path. - The checking is done in _get_first_valid_vars_timeseries(). - """ - ( - start_year, - end_year, - sub_monthly, - ) = self.get_start_and_end_years() - if sub_monthly: - start_time = "{}-01-01".format(start_year) - end_time = "{}-01-01".format(str(int(end_year) + 1)) - slice_flag = "co" - else: - start_time = "{}-01-15".format(start_year) - end_time = "{}-12-15".format(end_year) - slice_flag = "ccb" - - fnm = self._get_timeseries_file_path(var, data_path) - - var = var_to_get if var_to_get else var - - # get available start and end years from file name: {var}_{start_yr}01_{end_yr}12.nc - start_year = int(start_year) - end_year = int(end_year) - var_start_year = int(fnm.split("/")[-1].split("_")[-2][:4]) - var_end_year = int(fnm.split("/")[-1].split("_")[-1][:4]) - - if start_year < var_start_year: - msg = "Invalid year range specified for test/reference time series data: start_year={}<{}=var_start_yr".format( - start_year, var_start_year - ) - raise RuntimeError(msg) - elif end_year > var_end_year: - msg = "Invalid year range specified for test/reference time series data: end_year={}>{}=var_end_yr".format( - end_year, var_end_year - ) - raise RuntimeError(msg) - else: - # with cdms2.open(fnm) as f: - # var_time = f(var, time=(start_time, end_time, 'ccb'))(squeeze=1) - # return var_time - # For xml files using above with statement won't work because the Dataset object returned doesn't have attribute __enter__ for content management. - fin = cdms2.open(fnm) - var_time = fin(var, time=(start_time, end_time, slice_flag))(squeeze=1) - fin.close() - return var_time diff --git a/e3sm_diags/driver/utils/diurnal_cycle.py b/e3sm_diags/driver/utils/diurnal_cycle.py deleted file mode 100644 index 74621b9e2..000000000 --- a/e3sm_diags/driver/utils/diurnal_cycle.py +++ /dev/null @@ -1,217 +0,0 @@ -import MV2 -import numpy -import numpy.ma as ma - -from e3sm_diags.logger import custom_logger - -logger = custom_logger(__name__) - - -def composite_diurnal_cycle(var, season, fft=True): - """ - Compute the composite diurnal cycle for var for the given season. - Return mean + amplitudes and times-of-maximum of the first Fourier harmonic component as three transient variables. - """ - season_idx = { - "01": [1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - "02": [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], - "03": [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], - "04": [0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0], - "05": [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0], - "06": [0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0], - "07": [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0], - "08": [0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0], - "09": [0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0], - "10": [0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0], - "11": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0], - "12": [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], - "DJF": [1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1], - "MAM": [0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0], - "JJA": [0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0], - "SON": [0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0], - "ANN": [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], - } - - site = False - if var.getLatitude() is None and var.getLongitude() is None: - site = True - lat = var.lat - lon = var.lon - # Redefine time to be in the middle of the time interval - var_time = var.getTime() - if var_time is None: - # Climo cannot be run on this variable. - return var - - # tbounds = var_time.getBounds() - # var_time[:] = 0.5*(tbounds[:,0]+tbounds[:,1]) #time bounds for h1-h4 are problematic - var_time_absolute = var_time.asComponentTime() - # i.e. var_time_absolute[0] = "2000-1-1 1:30:0.0" - time_0 = ( - var_time_absolute[0].hour - + var_time_absolute[0].minute / 60 - + var_time_absolute[0].second / 3600 - ) - time_1 = ( - var_time_absolute[1].hour - + var_time_absolute[1].minute / 60 - + var_time_absolute[1].second / 3600 - ) - time_freq = int(24 / (time_1 - time_0)) - start_time = time_0 - logger.info(f"start_time {var_time_absolute[0]} {start_time}") - logger.info(f"var_time_freq={time_freq}") - - # Convert to masked array - v = var.asma() - - # Select specified seasons: - if season == "ANNUALCYCLE": # Not supported yet! - cycle = [ - "01", - "02", - "03", - "04", - "05", - "06", - "07", - "08", - "09", - "10", - "11", - "12", - ] - elif season == "SEASONALCYCLE": # Not supported yet! - cycle = ["DJF", "MAM", "JJA", "SON"] - else: - cycle = [season] - - ncycle = len(cycle) - # var_diurnal has shape i.e. (ncycle, ntimesteps, [lat,lon]) for lat lon data - var_diurnal = ma.zeros([ncycle] + [time_freq] + list(numpy.shape(v))[1:]) - for n in range(ncycle): - # Get time index for each month/season. - idx = numpy.array( - [ - season_idx[cycle[n]][var_time_absolute[i].month - 1] - for i in range(len(var_time_absolute)) - ], - dtype=int, - ).nonzero() - var_diurnal[n,] = ma.average( # noqa - numpy.reshape( - v[idx], - (int(v[idx].shape[0] / time_freq), time_freq) + v[idx].shape[1:], - ), - axis=0, - ) - - # Convert GMT to local time - if site: - nlat = 1 - nlon = 1 - # lat = [36.6] - # lon = [262.5] - lat = [ - lat, - ] - lon = [ - lon, - ] - else: - nlat = var.shape[1] - nlon = var.shape[2] - lat = var.getLatitude() - lon = var.getLongitude() - var_diurnal = numpy.squeeze(var_diurnal) - - nt = time_freq - lst = numpy.zeros((nt, nlat, nlon)) - for it, itime in enumerate(numpy.arange(0, 24, 24 / nt)): - for ilon in range(nlon): - lst[it, :, ilon] = ( - itime + start_time + lon[ilon] / 360 * 24 - ) % 24 # convert GMT to LST - - # Compute mean, amplitude and max time of the first three Fourier components. - if not fft: - return var_diurnal, lst - - else: - cycmean, maxvalue, tmax = fastAllGridFT(var_diurnal, lst) - - # Save phase, amplitude, and mean for the first homonic, - amplitude = MV2.zeros((nlat, nlon)) - amplitude[:, :] = maxvalue[0] - amplitude.id = "PRECT_diurnal_amplitude" - amplitude.longname = "Amplitude of diurnal cycle of PRECT" - amplitude.units = var.units - amplitude.setAxis(0, lat) - amplitude.setAxis(1, lon) - - maxtime = MV2.zeros((nlat, nlon)) - maxtime[:, :] = tmax[0] - maxtime.id = "PRECT_diurnal_phase" - maxtime.longname = "Phase of diurnal cycle of PRECT" - maxtime.units = "hour" - maxtime.setAxis(0, lat) - maxtime.setAxis(1, lon) - - cmean = MV2.zeros((nlat, nlon)) - cmean[:, :] = cycmean - cmean.id = "PRECT_diurnal_cycmean" - cmean.longname = "Mean of diurnal cycle of PRECT" - cmean.units = var.units - cmean.setAxis(0, lat) - cmean.setAxis(1, lon) - - return cmean, amplitude, maxtime - - -def fastAllGridFT(x, t): - """ - This version of fastFT does all gridpoints at once. - Use a Numerical Python function to compute a FAST Fourier transform -- which should give the same result as a simple - SLOW Fourier integration via the trapezoidal rule. - Return mean + amplitudes and times-of-maximum of the first three Fourier harmonic components of a time series x(t). - Do NOT detrend the time series first, in order to retain the "sawtooth" frequency implied by the inumpy.t length of the - time series (e.g. the 24-hour period from a composite-diurnal cycle). - On inumpy.t: x[k,i,j] = values at each gridpoint (i,j) for N times (k), e.g. N = 8 for a 3-hr composite-diurnal cycle - t[k,i,j] = timepoints at each gridpoint (i,j) for N times (k), e.g. Local Standard Times - On output: c[i,j] = mean value at each gridpoint (i,j) in the time series ("zeroth" term in Fourier series) - maxvalue[n,i,j] = amplitude at each gridpoint (i,j) for each Fourier harmonic (n) - tmax [n,i,j] = time of maximum at each gridpoint (i,j) for each Fourier harmonic (n) - Curt Covey, PCMDI/LLNL December 2016 - """ - - # Creating output arrays - if len(x.shape) == 1: - nx = 1 - ny = 1 - else: - nx = x.shape[1] - ny = x.shape[2] - # time of maximum for nth component (n=0 => diurnal, n=1 => semi...) - tmax = numpy.zeros((3, nx, ny)) - # value of maximum for nth component (= 1/2 peak-to-peak amplitude) - maxvalue = numpy.zeros((3, nx, ny)) - - logger.info( - "Calling numpy FFT function and converting from complex-valued FFT to real-valued amplitude and phase" - ) - X = numpy.fft.ifft(x, axis=0) - logger.info("FFT output shape={}".format(X.shape)) - - # Converting from complex-valued FFT to real-valued amplitude and phase - a = X.real - b = X.imag - S = numpy.sqrt(a**2 + b**2) - c = S[0] # Zeroth harmonic = mean-value "constant term" in Fourier series. - for n in range(3): - # Adding first + last terms, second + second-to-last, ... - maxvalue[n] = S[n + 1] + S[-n - 1] - tmax[n] = numpy.arctan2(b[n + 1], a[n + 1]) - tmax[n] = tmax[n] * 12.0 / (numpy.pi * (n + 1)) # Radians to hours - tmax[n] = tmax[n] + t[0] # GMT to LST - tmax[n] = tmax[n] % (24 / (n + 1)) - return c, maxvalue, tmax diff --git a/e3sm_diags/driver/utils/general.py b/e3sm_diags/driver/utils/general.py index eac19e19f..168201444 100644 --- a/e3sm_diags/driver/utils/general.py +++ b/e3sm_diags/driver/utils/general.py @@ -1,350 +1,15 @@ -from __future__ import print_function - -import errno -import os -from pathlib import Path - -import cdms2 -import cdutil -import genutil -import MV2 - -from e3sm_diags.derivations.default_regions import points_specs, regions_specs from e3sm_diags.logger import custom_logger logger = custom_logger(__name__) -def strictly_increasing(L): - return all(x < y for x, y in zip(L, L[1:])) - - -def strictly_decreasing(L): - return all(x > y for x, y in zip(L, L[1:])) +def monotonic(L): + return _monotonically_increasing(L) or _monotonically_decreasing(L) -def monotonically_decreasing(L): +def _monotonically_decreasing(L): return all(x >= y for x, y in zip(L, L[1:])) -def monotonically_increasing(L): +def _monotonically_increasing(L): return all(x <= y for x, y in zip(L, L[1:])) - - -def monotonic(L): - return monotonically_increasing(L) or monotonically_decreasing(L) - - -def adjust_time_from_time_bounds(var): - """ - Redefine time to be in the middle of the time interval, and rewrite - the time axis. This is important for data where the absolute time doesn't fall in the middle of the time interval, such as E3SM, the time was recorded at the end of each time Bounds. - """ - var_time = var.getTime() - tbounds = var_time.getBounds() - var_time[:] = 0.5 * (tbounds[:, 0] + tbounds[:, 1]) - time2 = cdms2.createAxis(var_time) - time2.designateTime() - # .designateTime() needs to be set before attributes changes. - time2.units = var_time.units - time2.calendar = var_time.calendar - time2.setBounds(tbounds) - time2.id = "time" - var.setAxis(0, time2) - - return var - - -def get_name_and_yrs(parameters, dataset, season=""): - """ - Given either test or ref data, get the name of the data - (test_name or reference_name), along with the years averaged. - """ - - name = get_name(parameters, dataset) - yrs_averaged = get_yrs(dataset, season) - if yrs_averaged: - name_yrs = "{} ({})".format(name, yrs_averaged) - else: - name_yrs = name - - return name_yrs - - -def get_name(parameters, dataset): - if dataset.test: - if parameters.short_test_name: - name = parameters.short_test_name - else: - name = parameters.test_name - else: - if parameters.short_ref_name: - name = parameters.short_ref_name - elif parameters.reference_name != "": - # parameter.ref_name is used to search though the reference data directories. - # parameter.reference_name is printed above ref plots. - name = parameters.reference_name - else: - name = parameters.ref_name - return name - - -def get_yrs(dataset, season=""): - if dataset.is_climo(): - try: - yrs_averaged = dataset.get_attr_from_climo("yrs_averaged", season) - except Exception: - yrs_averaged = "" - else: - start_yr, end_yr, sub_monthly = dataset.get_start_and_end_years() - yrs_averaged = "{}-{}".format(start_yr, end_yr) - return yrs_averaged - - -def convert_to_pressure_levels(mv, plevs, dataset, var, season): - """ - Given either test or reference data with a z-axis, - convert to the desired pressure levels. - """ - mv_plv = mv.getLevel() - # var(time,lev,lon,lat) convert from hybrid level to pressure - if mv_plv.long_name.lower().find("hybrid") != -1: - extra_vars = ["hyam", "hybm", "PS"] - hyam, hybm, ps = dataset.get_extra_variables_only( - var, season, extra_vars=extra_vars - ) - mv_p = hybrid_to_plevs(mv, hyam, hybm, ps, plevs) - - # levels are pressure levels - elif ( - mv_plv.long_name.lower().find("pressure") != -1 - or mv_plv.long_name.lower().find("isobaric") != -1 - ): - mv_p = pressure_to_plevs(mv, plevs) - - else: - raise RuntimeError("Vertical level is neither hybrid nor pressure. Aborting.") - - return mv_p - - -def hybrid_to_plevs(var, hyam, hybm, ps, plev): - """Convert from hybrid pressure coordinate to desired pressure level(s).""" - p0 = 1000.0 # mb - ps = ps / 100.0 # convert unit from 'Pa' to mb - levels_orig = cdutil.vertical.reconstructPressureFromHybrid(ps, hyam, hybm, p0) - levels_orig.units = "mb" - # Make sure z is positive down - if var.getLevel()[0] > var.getLevel()[-1]: - var = var(lev=slice(-1, None, -1)) - levels_orig = levels_orig(lev=slice(-1, None, -1)) - var_p = cdutil.vertical.logLinearInterpolation( - var(squeeze=1), levels_orig(squeeze=1), plev - ) - - return var_p - - -def pressure_to_plevs(var, plev): - """Convert from pressure coordinate to desired pressure level(s).""" - # Construct pressure level for interpolation - var_plv = var.getLevel() - if var_plv.units == "Pa": - var_plv[:] = var_plv[:] / 100.0 # convert Pa to mb - levels_orig = MV2.array(var_plv[:]) - levels_orig.setAxis(0, var_plv) - # grow 1d levels_orig to mv dimention - var, levels_orig = genutil.grower(var, levels_orig) - # levels_orig.info() - # logLinearInterpolation only takes positive down plevel: - # "I : interpolation field (usually Pressure or depth) - # from TOP (level 0) to BOTTOM (last level), i.e P value - # going up with each level" - if var.getLevel()[0] > var.getLevel()[-1]: - var = var(lev=slice(-1, None, -1)) - levels_orig = levels_orig(lev=slice(-1, None, -1)) - var_p = cdutil.vertical.logLinearInterpolation( - var(squeeze=1), levels_orig(squeeze=1), plev - ) - - return var_p - - -def select_region_lat_lon(region, var, parameter): - """Select desired regions from transient variables (no mask).""" - try: - # if region.find('global') == -1: - domain = regions_specs[region]["domain"] # type: ignore - except Exception: - pass - - var_selected = var(domain) - var_selected.units = var.units - - return var_selected - - -def select_region(region, var, land_frac, ocean_frac, parameter): - """Select desired regions from transient variables.""" - if region.find("land") != -1 or region.find("ocean") != -1: - if region.find("land") != -1: - land_ocean_frac = land_frac - elif region.find("ocean") != -1: - land_ocean_frac = ocean_frac - - land_ocean_frac = land_ocean_frac.regrid( - var.getGrid(), - regridTool=parameter.regrid_tool, - regridMethod=parameter.regrid_method, - ) - - # Only mask variable values < region value (the lower limit). - region_value = regions_specs[region]["value"] # type: ignore - var.mask = land_ocean_frac < region_value - - # If the region is not global, then it can have a domain. - domain = regions_specs[region].get("domain", None) # type: ignore - var_domain_selected = var(domain) - var_domain_selected.units = var.units - - return var_domain_selected - - -def select_point(region, var): - """Select desired point from transient variables.""" - - lat = points_specs[region][0] - lon = points_specs[region][1] - select = points_specs[region][2] - - try: - var_selected = var( - latitude=(lat, lat, select), - longitude=(lon, lon, select), - squeeze=1, - ) - except Exception: - logger.info("No point selected.") - - return var_selected - - -def regrid_to_lower_res(mv1, mv2, regrid_tool, regrid_method): - """Regrid transient variable toward lower resolution of two variables.""" - - axes1 = mv1.getAxisList() - axes2 = mv2.getAxisList() - - # use nlat to decide data resolution, higher number means higher data - # resolution. For the difference plot, regrid toward lower resolution - if len(axes1[1]) <= len(axes2[1]): - mv_grid = mv1.getGrid() - mv1_reg = mv1 - mv2_reg = mv2.regrid( - mv_grid, regridTool=regrid_tool, regridMethod=regrid_method - ) - mv2_reg.units = mv2.units - - else: - mv_grid = mv2.getGrid() - mv2_reg = mv2 - mv1_reg = mv1.regrid( - mv_grid, regridTool=regrid_tool, regridMethod=regrid_method - ) - mv1_reg.units = mv1.units - - return mv1_reg, mv2_reg - - -def save_transient_variables_to_netcdf(set_num, variables_dict, label, parameter): - """ - Save the transient variables to nc file. - """ - if parameter.save_netcdf: - for variable_name, variable in variables_dict.items(): - # Set cdms preferences - no compression, no shuffling, no complaining - cdms2.setNetcdfDeflateFlag(1) - # 1-9, min to max - Comes at heavy IO (read/write time cost) - cdms2.setNetcdfDeflateLevelFlag(0) - cdms2.setNetcdfShuffleFlag(0) - cdms2.setCompressionWarnings(0) # Turn off warning messages - - path = get_output_dir(set_num, parameter) - # Save variable - try: - variable.id = parameter.var_id - except AttributeError: - logger.error("Could not save variable.id for {}".format(variable_name)) - file_name = "{}_{}_{}.nc".format( - parameter.output_file, variable_name, label - ) - test_pth = os.path.join(path, file_name) - with cdms2.open(test_pth, "w+") as file_test: - try: - file_test.write(variable) - except AttributeError: - logger.error("Could not write variable {}".format(variable_name)) - - -def save_ncfiles(set_num, test, ref, diff, parameter): - """ - Saves the test, reference, and difference - data being plotted as nc files. - """ - if parameter.save_netcdf: - # Save files being plotted - # Set cdms preferences - no compression, no shuffling, no complaining - cdms2.setNetcdfDeflateFlag(1) - # 1-9, min to max - Comes at heavy IO (read/write time cost) - cdms2.setNetcdfDeflateLevelFlag(0) - cdms2.setNetcdfShuffleFlag(0) - cdms2.setCompressionWarnings(0) # Turn off warning messages - - pth = get_output_dir(set_num, parameter) - - # Save test file - if test.id.startswith("variable_"): - test.id = parameter.var_id - test_pth = os.path.join(pth, parameter.output_file + "_test.nc") - - cdms_arg = "w" - - if Path(test_pth).is_file(): - cdms_arg = "a" - - with cdms2.open(test_pth, cdms_arg) as file_test: - file_test.write(test) - - if parameter.ref_name != "": - # Save reference file - if ref.id.startswith("variable_"): - ref.id = parameter.var_id - ref_pth = os.path.join(pth, parameter.output_file + "_ref.nc") - with cdms2.open(ref_pth, cdms_arg) as file_ref: - file_ref.write(ref) - - # Save difference file - if diff is not None: - if diff.id.startswith("variable_"): - diff.id = parameter.var_id + "_diff" - diff_pth = os.path.join(pth, parameter.output_file + "_diff.nc") - with cdms2.open(diff_pth, cdms_arg) as file_diff: - file_diff.write(diff) - - -def get_output_dir(set_num, parameter): - """ - Get the directory of where to save the outputs for a run. - """ - results_dir = parameter.results_dir - pth = os.path.join(results_dir, "{}".format(set_num), parameter.case_id) - - if not os.path.exists(pth): - # When running diags in parallel, sometimes another process will create the dir. - try: - os.makedirs(pth, 0o755) - except OSError as e: - if e.errno != errno.EEXIST: - raise - - return pth diff --git a/e3sm_diags/e3sm_diags_vars.py b/e3sm_diags/e3sm_diags_vars.py deleted file mode 100644 index 8f993dd6c..000000000 --- a/e3sm_diags/e3sm_diags_vars.py +++ /dev/null @@ -1,132 +0,0 @@ -#!/usr/bin/env python -""" -What variables in the passed in file can have E3SM Diagnostics ran on them? -Pass in an E3SM model output file. -It's assumed that this file will have all of the E3SM variables in it. -This is used to get the correct variable names from the derived variables dictionary. -""" -import glob -import os -from typing import Any, Dict, List - -import cdms2 - -import e3sm_diags -from e3sm_diags.derivations.acme import derived_variables -from e3sm_diags.e3sm_diags_driver import get_parameters -from e3sm_diags.logger import custom_logger -from e3sm_diags.parser.core_parser import CoreParser - -logger = custom_logger(__name__) - - -def main(): - vars_in_e3sm_diags = list_of_vars_in_e3sm_diags() - vars_with_derived_vars = sorted(check_for_derived_vars(vars_in_e3sm_diags)) - logger.info( - "Below are the variables needed to run all of the diagnostics in e3sm_diags." - ) - logger.info( - "NOTE: This list doesn't include auxiliary variables such as hyam, hybm, PS, etc." - ) - logger.info(vars_with_derived_vars) - - -def list_of_vars_in_user_file(): - """ - Given a path to an nc file, return all of the variables in it. - """ - # parser = argparse.ArgumentParser() - # parser.add_argument("path") - # path = parser.parse_args().path - # path = DUMMY_FILE_PATH - path = parser.parse_args().path - logger.info("Using the file: {}".format(path)) - - if not os.path.exists(path): - msg = "The file ({}) does not exist.".format(path) - raise RuntimeError(msg) - with cdms2.open(path) as f: - return f.variables.keys() - - -parser = CoreParser() - - -def list_of_vars_in_e3sm_diags(): - """ - Get a list of all of the variables used in e3sm_diags. - Open all of the *.cfg files located in e3sm_diags/e3sm_diags/driver/default_diags/ - and get all of the 'variables' parameters. - """ - - # Get all of the 'variables' parameter from each file. - vars_used = [] - try: - logger.info("Using user arguments.") - parameters = get_parameters(parser) - except Exception as e: - logger.error(e) - # Looks for these files in their installed location. - pth = os.path.join(e3sm_diags.INSTALL_PATH) - # The first '*' is the folder of the set, the second is the actual file. - # Ex: {e3sm_diags.INSTALL_PATH}/lat_lon/lat_lon_model_vs_obs.cfg - file_paths = [p for p in glob.glob(pth + "*/*.cfg")] - # NOT NEEDED: - # parser.add_argument('path') # Needed so the filename can be passed in. - # parser.add_args_and_values([DUMMY_FILE_PATH]) - parameters = parser.get_cfg_parameters( - files_to_open=file_paths, check_values=False - ) - - for p in parameters: - logger.info(f"p.variables {p.variables}") - vars_used.extend(p.variables) - - logger.info(f"Variables used: {sorted(list(set(vars_used)))}") - return set(vars_used) - - -def check_for_derived_vars(e3sm_vars: Dict[Any, Any]): - """ - For any of the e3sm_vars which are derived variables, we need - to check whether any of the original variables are actually in the user's file. - - Ex: - 'PRECT' is a variable in e3sm_vars. - But it maps to both ('pr',) and ('PRECC', 'PRECL'). - Which one do we use? - - Given a path to a file, we get the vars in that file and - decided whether to use ('pr',) or ('PRECC', 'PRECL'). - """ - vars_used: List[Any] = [] - vars_in_user_file = set(list_of_vars_in_user_file()) - for var in e3sm_vars: - if var in derived_variables: - # Ex: {('PRECC', 'PRECL'): func, ('pr',): func1, ...}. - vars_to_func_dict = derived_variables[var] - # Ex: [('pr',), ('PRECC', 'PRECL')]. - possible_vars = vars_to_func_dict.keys() # type: ignore - - var_added = False - for list_of_vars in possible_vars: - if not var_added and vars_in_user_file.issuperset(list_of_vars): - # All of the variables (list_of_vars) are in the input file. - # These are needed. - vars_used.extend(list_of_vars) - var_added = True - # If none of the original vars are in the file, just keep this var. - # This means that it isn't a derived variable in E3SM. - if not var_added: - vars_used.append(var) - - else: - # This var is not a derived variable, it's okay. - vars_used.append(var) - - return list(set(vars_used)) - - -if __name__ == "__main__": - main() diff --git a/e3sm_diags/metrics/__init__.py b/e3sm_diags/metrics/__init__.py deleted file mode 100644 index eb1146542..000000000 --- a/e3sm_diags/metrics/__init__.py +++ /dev/null @@ -1,50 +0,0 @@ -import cdutil -import genutil -import numpy - -from e3sm_diags.logger import custom_logger - -logger = custom_logger(__name__) - - -def corr(model, obs, axis="xy"): - corr = -numpy.inf - try: - corr = float( - genutil.statistics.correlation(model, obs, axis=axis, weights="generate") - ) - except Exception as err: - logger.error(err) - - return corr - - -def max_cdms(variable): - return float(variable.max()) - - -def mean(variable, axis="xy"): - return cdutil.averager(variable, axis=axis, weights="generate") - - -def min_cdms(variable): - return float(variable.min()) - - -def rmse(model, obs, axis="xy"): - rmse = -numpy.inf - try: - rmse = float(genutil.statistics.rms(model, obs, axis=axis, weights="generate")) - except Exception as err: - logger.error(err) - return rmse - - -def std(variable, axis="xy"): - std = -numpy.inf - try: - std = float(genutil.statistics.std(variable, axis=axis, weights="generate")) - except Exception as err: - logger.error(err) - - return std diff --git a/e3sm_diags/plot/__init__.py b/e3sm_diags/plot/__init__.py index 82c3aa795..e69de29bb 100644 --- a/e3sm_diags/plot/__init__.py +++ b/e3sm_diags/plot/__init__.py @@ -1,97 +0,0 @@ -"""Manages plotting, provides a single interface -for different plots with different backends.""" -from __future__ import absolute_import, print_function - -import importlib -import os -import sys -import traceback - -import numpy -from matplotlib.colors import LinearSegmentedColormap - -import e3sm_diags -from e3sm_diags.logger import custom_logger - -logger = custom_logger(__name__) - - -def _get_plot_fcn(backend, set_name): - """Get the actual plot() function based on the backend and set_name.""" - try: - # FIXME: Remove this conditional if "cartopy" is always used and update - # Coreparameter.backend default value to "cartopy". - if backend in ["matplotlib", "mpl"]: - backend = "cartopy" - - mod_str = "e3sm_diags.plot.{}.{}_plot".format(backend, set_name) - module = importlib.import_module(mod_str) - return module.plot - - except ModuleNotFoundError: - logger.error( - "Plotting for set {} with {} is not supported".format(set_name, backend) - ) - traceback.print_exc() - - -def plot(set_name, ref, test, diff, metrics_dict, parameter): - """Based on set_name and parameter.backend, call the correct plotting function.""" - # FIXME: This function isn't necessary and adds complexity through nesting - # of imports and function calls. Each driver should call its plot module - # directly. - # FIXME: Remove the if statement because none of the parameter classes - # have a .plot() method - if hasattr(parameter, "plot"): - parameter.plot(ref, test, diff, metrics_dict, parameter) - else: - # FIXME: Remove this if statement because .backend is always "mpl" - # which gets converted to "cartopy" in `_get_plot_fcn`. - if parameter.backend not in ["cartopy", "mpl", "matplotlib"]: - raise RuntimeError('Invalid backend, use "matplotlib"/"mpl"/"cartopy"') - - plot_fcn = _get_plot_fcn(parameter.backend, set_name) - if plot_fcn: - try: - plot_fcn(ref, test, diff, metrics_dict, parameter) - except Exception as e: - logger.exception( - "Error while plotting {} with backend {}".format( - set_name, parameter.backend - ), - exc_info=True, - ) - traceback.print_exc() - if parameter.debug: - sys.exit() - - -def get_colormap(colormap, parameters): - """Get the colormap (string or mpl colormap obj), which can be - loaded from a local file in the cwd, installed file, or a predefined mpl one.""" - colormap = str(colormap) # unicode don't seem to work well with string.endswith() - if not colormap.endswith(".rgb"): # predefined vcs/mpl colormap - return colormap - - installed_colormap = os.path.join(e3sm_diags.INSTALL_PATH, "colormaps", colormap) - - if os.path.exists(colormap): - # colormap is an .rgb in the current directory - pass - elif not os.path.exists(colormap) and os.path.exists(installed_colormap): - # use the colormap from /plot/colormaps - colormap = installed_colormap - elif not os.path.exists(colormap) and not os.path.exists(installed_colormap): - pth = os.path.join(e3sm_diags.INSTALL_PATH, "colormaps") - msg = "File {} isn't in the current working directory or installed in {}" - raise IOError(msg.format(colormap, pth)) - - rgb_arr = numpy.loadtxt(colormap) - rgb_arr = rgb_arr / 255.0 - - if parameters.backend in ["cartopy", "mpl", "matplotlib"]: - cmap = LinearSegmentedColormap.from_list(name=colormap, colors=rgb_arr) - return cmap - - else: - raise RuntimeError("Invalid backend: {}".format(parameters.backend)) diff --git a/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py b/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py index 43f7bcd21..d53cd72f8 100644 --- a/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py +++ b/e3sm_diags/plot/annual_cycle_zonal_mean_plot.py @@ -112,7 +112,7 @@ def _add_colormap( ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=None) var = var.transpose(lat.name, time.name) contour_plot = _add_contour_plot( - ax, parameter, var, time, lat, color_map, None, norm, c_levels + ax, var, time, lat, color_map, None, norm, c_levels ) # Configure the aspect ratio and plot titles. diff --git a/e3sm_diags/plot/cartopy/area_mean_time_series_plot.py b/e3sm_diags/plot/area_mean_time_series_plot.py similarity index 100% rename from e3sm_diags/plot/cartopy/area_mean_time_series_plot.py rename to e3sm_diags/plot/area_mean_time_series_plot.py diff --git a/e3sm_diags/plot/arm_diags_plot.py b/e3sm_diags/plot/arm_diags_plot.py index 5dd72057f..c5699548f 100644 --- a/e3sm_diags/plot/arm_diags_plot.py +++ b/e3sm_diags/plot/arm_diags_plot.py @@ -10,7 +10,7 @@ from matplotlib.gridspec import GridSpec from e3sm_diags.driver.utils.diurnal_cycle_xr import _fft_all_grid -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.io import _get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter @@ -802,13 +802,11 @@ def _save_plots( """ for f in output_format: f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), output_file_name + "." + f - ) + fnm = os.path.join(_get_output_dir(parameter), output_file_name + "." + f) plt.savefig(fnm, transparent=transparent, bbox_inches=bbox_inches) fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), output_file_name + "." + f, ) logger.info(f"Plot saved in: {fnm}") diff --git a/e3sm_diags/plot/cartopy/__init__.py b/e3sm_diags/plot/cartopy/__init__.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/e3sm_diags/plot/cartopy/arm_diags_plot.py b/e3sm_diags/plot/cartopy/arm_diags_plot.py deleted file mode 100644 index dc77b31b8..000000000 --- a/e3sm_diags/plot/cartopy/arm_diags_plot.py +++ /dev/null @@ -1,648 +0,0 @@ -import math -import os -import warnings - -import matplotlib -import numpy as np -from matplotlib.gridspec import GridSpec - -from e3sm_diags.driver.utils.diurnal_cycle import fastAllGridFT -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger - -matplotlib.use("agg") - -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - - -def subplot_aerosol_ccn(a_num, ccn_num, parameter, region, variable, test=True): - # Bulk aerosol vs. ccn - if region == "sgpc1": - ccn_num_pedge = np.arange(0, 6200, 100) - a_num_pedge = np.arange(0, 6200, 100) - pvmax = 6000 - elif region == "enac1": - ccn_num_pedge = np.arange(0, 1020, 20) - a_num_pedge = np.arange(0, 1020, 20) - pvmax = 1000 - else: - msg = "Aerosol activation at Site: {} is not supported yet".format(region) - raise RuntimeError(msg) - - a_num = np.array(a_num) - ccn_num = np.array(ccn_num) - - ratio_all = ccn_num / a_num - ratio_mean = np.nanmean(ratio_all) - ratio_std = np.nanstd(ratio_all) - - output_str = "test" - if test is False: - output_str = "ref" - - if parameter.ref_name == "armdiags" and test is False: - data_name = "OBS" - else: - data_name = "Test Model" - - fig = plt.figure(figsize=(12, 10)) - - fsize = 30 - xysize = 30 - gspec = GridSpec(ncols=1, nrows=1, figure=fig) - ax1 = fig.add_subplot(gspec[0]) - ax1.set_title( - f"{region.upper()} Bulk Aerosol Activation ({data_name})", fontsize=fsize - ) - h2d02, xeg02, yeg02, im02 = plt.hist2d( - a_num, ccn_num, bins=[a_num_pedge, ccn_num_pedge], cmap="turbo", density=True - ) - ax1.plot([0, pvmax], [0, pvmax], "r", lw=3) - ax1.text( - 0.02, - 0.9, - "Ratio = " + "%.2f" % ratio_mean + r"$\pm$" + "%.2f" % ratio_std, - color="r", - ha="left", - va="center", - transform=ax1.transAxes, - fontsize=xysize, - ) - ax1.set_xlabel("Aerosol Num. Conc. (# $cm^{-3}$)", fontsize=xysize) - ax1.set_ylabel( - f"CCN Num. Conc. @0.{variable[-1]}%SS (# $cm^{-3}$)", fontsize=xysize - ) - ax1.tick_params( - labelsize=xysize, length=10, width=2, direction="out", which="major" - ) - ax1.tick_params(length=7, width=3, direction="out", which="minor") - cb1 = plt.colorbar() - cb1.ax.tick_params(labelsize=13) - cb1.set_label("Probability Density", fontsize=15) - for axis in ["top", "bottom", "left", "right"]: - ax1.spines[axis].set_linewidth(2) - plt.subplots_adjust(left=0.16, right=1.01, bottom=0.11, top=0.94, hspace=0.15) - # plt.savefig(output_path+'/figures/'+region+'/'+'aerosol_activation_bulk_a_ccn02_obs_'+sites[0]+'.png') - # save figure - # mp.savefig(output_path +'/figures/conv_diagnostics_'+test+'_'+sites[0]+'.png', transparent=True, bbox_inches='tight') - # Save the figure. - output_file_name = f"{parameter.output_file}-{output_str}" - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), output_file_name + "." + f - ) - plt.savefig(fnm, transparent=True, bbox_inches="tight") - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - plt.close() - - -def plot_aerosol_activation( - test_a_num, test_ccn_num, ref_a_num, ref_ccn_num, parameter, region, variable -): - # Program for generate aerosol-to-ccn activate metric - # Original code: Xiaojian Zheng, Cheng Tao - # Modifications: Jill Zhang - # - # For related publications and research information see - # https://github.com/ARM-DOE/arm-gcm-diagnostics/blob/master/docs/ARM_DIAGS_v3_TechReport.pdf # - - subplot_aerosol_ccn(test_a_num, test_ccn_num, parameter, region, variable) - subplot_aerosol_ccn(ref_a_num, ref_ccn_num, parameter, region, variable, test=False) - return - - -def plot_convection_onset_statistics( - test_pr, test_prw, ref_pr, ref_prw, parameter, region -): - # Original code: Kathleen Schiro, python version 22 Dec 2016, University of California Dept. of Atmospheric and Oceanic Sciences - # Modifications: Baird Langenbrunner, Yi-Hung Kuo - # Modifications: Jill Zhang, Cheng Tao - # Scientific supervision: Prof. J David Neelin - # - # For related publications and research information see - # the Neelin group webpage http://www.atmos.ucla.edu/~csi/ # - - # Define precip threshold - precip_threshold = 0.5 # default 0.5 (in mm/hr) - - # Define cwc bounds and bin_width for each site - if region == "twpc1": # twpc1 - cwv_max = 69 - cwv_min = 28 - bin_width = 1.5 - sitename = "Manus Island" - if region == "twpc2": # twpc2 - cwv_max = 70 - cwv_min = 28 - bin_width = 2.0 - sitename = "Nauru" - if region == "twpc3": # twpc3 - cwv_max = 85 - cwv_min = 28 - bin_width = 2.0 - sitename = "Darwin" - if region == "sgpc1": # sgp - cwv_max = 75 - cwv_min = 20 - bin_width = 2.0 - sitename = "SGP" - - fig, axes = plt.subplots(1, 3, figsize=(12, 3)) - fig.subplots_adjust(wspace=0.3) - title = "" - for index in range(2): - if index == 0: - precip = test_pr - cwv = test_prw - data_name = "Test: " + parameter.test_name_yrs - time_interval = 3 - line_color = ["black", "grey"] - else: - precip = ref_pr - cwv = ref_prw - data_name = "Ref: " + parameter.ref_name - time_interval = 1 - line_color = ["blue", "steelblue"] - var_time_absolute = cwv.getTime().asComponentTime() - time_interval = int(var_time_absolute[1].hour - var_time_absolute[0].hour) - - # FIXME: UnboundLocalError: local variable 'cwv_max' referenced before assignment - number_of_bins = int(np.ceil((cwv_max - cwv_min) / bin_width)) - bin_center = np.arange( - (cwv_min + (bin_width / 2)), - (cwv_max - (bin_width / 2)) + bin_width, - bin_width, - ) - if len(bin_center) != number_of_bins: - bin_center = np.arange( - (cwv_min + (bin_width / 2)), (cwv_max - (bin_width / 2)), bin_width - ) - - # Define variables for binning - bin_index = np.zeros([number_of_bins, cwv.size]) - precip_binned = np.empty([number_of_bins, cwv.size]) * np.nan - precip_counts = np.zeros([number_of_bins, cwv.size]) - - warnings.filterwarnings("ignore") - # Bin the data by CWV value as specified above - for i in range(0, number_of_bins): - tmp1 = np.where(cwv > cwv_min + (i * bin_width)) - bin_index[i, tmp1] = 1 - tmp2 = np.where(cwv > cwv_min + (i * bin_width) + bin_width) - bin_index[i, tmp2] = 0 - - for i in range(0, number_of_bins): - tmp1 = np.where(bin_index[i, :] == 1) - precip_binned[i, tmp1] = precip[tmp1] - tmp2 = np.where(bin_index[i, :] != 1) - precip_binned[i, tmp2] = np.nan - - for i in range(0, number_of_bins): - tmp1 = np.where(precip_binned[i, :] >= precip_threshold) - precip_counts[i, tmp1] = 1 - for j in range(0, cwv.size): - if np.isnan(precip_binned[i, j]): - precip_counts[i, j] = np.nan - - # Create binned arrays - hist_cwv = np.empty([number_of_bins, 1]) * np.nan - hist_precip_points = np.empty([number_of_bins, 1]) * np.nan - pr_binned_mean = np.empty([number_of_bins, 1]) * np.nan - pr_binned_std = np.empty([number_of_bins, 1]) * np.nan - pr_probability = np.empty([number_of_bins, 1]) * np.nan - errorbar_precip_points = np.empty([number_of_bins, 1]) * np.nan - errorbar_precip = np.empty([number_of_bins, 1]) * np.nan - - ### - errorbar_precip_binom = np.empty([number_of_bins, 2]) * np.nan - - # Fill binned arrays - hist_cwv = bin_index.sum(axis=1) - hist_cwv[hist_cwv <= 1] = 0 - hist_precip_points = np.nansum(precip_counts, axis=1) - hist_precip_points[hist_precip_points <= 1] = 0 - pr_binned_mean = np.nanmean(precip_binned, axis=1) - pr_binned_std = np.nanstd(precip_binned, axis=1) - r = np.empty([1, number_of_bins]) * np.nan - r = np.sum(~np.isnan(precip_counts), axis=1) - pr_probability = np.nansum(precip_counts, axis=1) / r - freq_cwv = (hist_cwv / bin_width) / np.nansum(hist_cwv) - freq_precipitating_points = hist_precip_points / bin_width / np.nansum(hist_cwv) - - for i in range(0, number_of_bins): - errorbar_precip[i] = pr_binned_std[i] / math.sqrt(hist_cwv[i]) - errorbar_precip_points[i] = ( - math.sqrt(hist_precip_points[i]) - / np.nansum(hist_cwv / bin_width) - / bin_width - ) - z = 0.675 - phat = hist_precip_points[i] / hist_cwv[i] - errorbar_precip_binom[i, 0] = z * math.sqrt(phat * (1 - phat) / hist_cwv[i]) - errorbar_precip_binom[i, 1] = z * math.sqrt(phat * (1 - phat) / hist_cwv[i]) - axes_fontsize = 12 # size of font in all plots - legend_fontsize = 9 - marker_size = 40 # size of markers in scatter plots - xtick_pad = 10 # padding between x tick labels and actual plot - bin_width = (np.max(bin_center) - np.min(bin_center)) / number_of_bins - - # create figure canvas - - # create figure 1 - ax1 = axes[0] - xulim = 5 * np.ceil(np.max(np.round(bin_center + bin_width / 2)) / 5) - xllim = 5 * np.floor(np.min(np.round(bin_center - bin_width / 2)) / 5) - # ax1.set_xlim(xllim-10,xulim+15) - # ax1.set_xticks(np.arange(np.ceil(xllim/10)*10-10,np.ceil(xulim/10)*10+15,15)) - # ax1.set_yticks(np.arange(0,5)) - ax1.tick_params(labelsize=axes_fontsize) - ax1.tick_params(axis="x", pad=10) - ax1.errorbar( - bin_center, - pr_binned_mean, - yerr=errorbar_precip.squeeze(), - ls="none", - color="black", - ) - # ax1.scatter(bin_center, pr_binned_mean, edgecolor='none', facecolor=scatter_colors, s=marker_size, clip_on=False, zorder=3) - ax1.scatter( - bin_center, - pr_binned_mean, - edgecolor="none", - facecolor=line_color[0], - s=marker_size, - clip_on=True, - zorder=3, - label=data_name.split(":")[0], - ) - ax1.set_xlim(xllim - 10, cwv_max) - ax1.set_ylim(0, 3) - ax1.set_ylabel("Precip (mm/hr)", fontsize=axes_fontsize) - ax1.set_xlabel("CWV (mm)", fontsize=axes_fontsize) - ax1.set_axisbelow(True) - legend_handles, legend_labels = ax1.get_legend_handles_labels() - ax1.legend(legend_handles, legend_labels, loc="upper left", frameon=False) - - # create figure 2 (probability pickup) - ax2 = axes[1] - xulim = 5 * np.ceil(np.max(np.round(bin_center + bin_width / 2)) / 5) - xllim = 5 * np.floor(np.min(np.round(bin_center - bin_width / 2)) / 5) - # ax2.set_xlim(xllim-10,xulim+15) - ax2.tick_params(labelsize=axes_fontsize) - ax2.errorbar( - bin_center, - pr_probability, - yerr=errorbar_precip_binom.T, - fmt="none", - color="black", - ) - ax2.tick_params(axis="x", pad=xtick_pad) - ax2.scatter( - bin_center, - pr_probability, - marker="d", - s=marker_size, - edgecolor="none", - facecolor=line_color[0], - zorder=3, - label=data_name.split(":")[0], - ) - ax2.set_xlim(xllim - 10, cwv_max) - # ax2.set_xticks(np.arange(np.ceil(xllim/10)*10-10,np.ceil(xulim/10)*10+15,15)) - ax2.set_ylim(0, 1) - ax2.set_yticks([0.0, 0.2, 0.4, 0.6, 0.8, 1.0]) - ax2.set_ylabel("Probability of Precip.", fontsize=axes_fontsize) - ax2.set_xlabel("CWV (mm)", fontsize=axes_fontsize) - # ax2.grid() - ax2.set_axisbelow(True) - legend_handles, legend_labels = ax2.get_legend_handles_labels() - ax2.legend(legend_handles, legend_labels, loc="upper left", frameon=False) - title = ( - title - + data_name - + ": " - + str(time_interval) - + " hrly(" - + line_color[0] - + ")\n" - ) - - # create figure 3 (non-normalized PDF) - ax3 = axes[2] - ax3.set_yscale("log") - - xulim = 5 * np.ceil(np.max(np.round(bin_center + bin_width / 2)) / 5) - xllim = 5 * np.floor(np.min(np.round(bin_center - bin_width / 2)) / 5) - # ax3.set_xlim(xllim-10,xulim+15) - ax3.set_xlim(xllim - 10, cwv_max) - ax3.set_xticks( - np.arange(np.ceil(xllim / 10) * 10 - 10, np.ceil(xulim / 10) * 10 + 15, 15) - ) - # low_lim = -6.0 - low_lim = -4.0 - ax3.set_ylim(10**low_lim, 100) - ax3.set_yticks(10 ** np.arange(low_lim, 2, dtype="float64")) - ax3.tick_params(labelsize=axes_fontsize) - ax3.tick_params(axis="x", pad=xtick_pad) - freq_precipitating_points[freq_precipitating_points == 0] = np.nan - freq_cwv[freq_cwv == 0] = np.nan - - # ax3.errorbar(bin_center, freq_precipitating_points, yerr=errorbar_precip_points.squeeze(), ls='none', color='black') - ax3.scatter( - bin_center, - freq_cwv, - color=line_color[0], - label=data_name.split(":")[0] + ": all", - ) - ax3.scatter( - bin_center, - freq_precipitating_points, - edgecolor="none", - facecolor=line_color[1], - s=marker_size, - zorder=3, - label=data_name.split(":")[0] + ": precip $>$ 0.5 mm/hr ", - ) - ax3.set_ylabel("PDF", fontsize=axes_fontsize) - ax3.set_xlabel("CWV (mm)", fontsize=axes_fontsize) - ax3.set_axisbelow(True) - - # create legend - legend_handles, legend_labels = ax3.get_legend_handles_labels() - ax3.legend( - legend_handles, - legend_labels, - loc="upper left", - bbox_to_anchor=(0.1, 0.95), - fontsize=legend_fontsize, - scatterpoints=1, - handlelength=0, - labelspacing=0, - borderpad=0, - borderaxespad=0, - frameon=False, - ) - - # set layout to tight (so that space between figures is minimized) - # plt.tight_layout() - plt.suptitle( - "Convection Onset Metrics" + " at " + sitename, y=1.15, fontweight="bold" - ) - plt.title(title, ha="left", x=-2, y=0.98) - - # save figure - # mp.savefig(output_path +'/figures/conv_diagnostics_'+test+'_'+sites[0]+'.png', transparent=True, bbox_inches='tight') - # Save the figure. - output_file_name = parameter.output_file - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), output_file_name + "." + f - ) - plt.savefig(fnm, transparent=True, bbox_inches="tight") - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - plt.close() - - -def get_seasonal_mean(data): - """ - Calculate annual mean and seasonal mean of input data (mean of 12 month) - """ - ac = data.asma() - ac_dec = np.concatenate((ac, ac))[11:23] - season = np.nanmean(ac_dec.reshape(-1, 3), axis=1) - ann = np.nanmean(season) - return np.hstack([ann, season.data]) - - -def plot_annual_cycle(var, vars_to_data, parameter): - line_color = ["r", "b", "g", "m"] - fig = plt.figure() # Create figure - - ax1 = fig.add_axes([0.15, 0.1, 0.8, 0.8]) # Create axes - xax = np.arange(1, 13, 1) - - refs = vars_to_data.refs - test = vars_to_data.test - ax1.plot( - xax, test.asma(), "k", linewidth=2, label="Test: " + parameter.test_name_yrs - ) # +' ({0:.1f})'.format(np.mean(test.asma()))) - test_season = get_seasonal_mean(test) - for i_ref, ref in enumerate(refs): - ref_season = get_seasonal_mean(ref) - ax1.plot( - xax, - ref.asma(), - line_color[i_ref], - linewidth=2, - label="Ref: " + parameter.ref_name, - ) # +' ({0:.1f})'.format(np.mean(ref.asma()))) - my_xticks = ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"] - plt.xticks(xax, my_xticks) - plt.xlim(1, 12) - ymin, ymax = plt.gca().get_ylim() - plt.ylim(0.8 * ymin, 1.2 * ymax) - # plt.ylim(ylim[va_ind]) - plt.xlabel("Month") - plt.legend(loc="best", prop={"size": 10}) - - if var == "PRECT": - plt.ylabel("Total Precipitation Rate" + " (" + parameter.var_units + ")") - else: - plt.ylabel(parameter.var_name + " (" + parameter.var_units + ")") - - # Add a table at the bottom of the axes - bias = test_season - ref_season - cell_text = np.round(np.vstack((test_season, ref_season, bias)), 2) - collabel = ("ANN", "DJF", "MAM", "JJA", "SON") - rows = ("Test", "Ref", "Bias") - plt.table( - cellText=cell_text, - rowLabels=rows, - colLabels=collabel, - alpha=0.8, - bbox=[0.15, 0.0, 0.8, 0.2], - ) - - # Save the figure. - output_file_name = parameter.output_file - plt.title(output_file_name.replace("-", " ")) - - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), output_file_name + "." + f - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - plt.close() - - -def plot_diurnal_cycle(var, vars_to_data, parameter): - test = vars_to_data.test[0] - ref = vars_to_data.refs[0][0] - lst = vars_to_data.misc[0] - t_conv = lst[0][0] - - output_file_name = parameter.output_file + "-" + "diurnal-cycle" - - fig = plt.figure() # Create figure - ax = fig.add_axes([0.15, 0.1, 0.8, 0.8]) # Create axes - - for index in range(2): - if index == 0: - data = test - line_c = "k" - data_name = parameter.test_name_yrs - else: - data = ref - line_c = "r" - data_name = parameter.ref_name - - time_freq = len(data) - res = int(24 / time_freq) - c, maxvalue, tmax = fastAllGridFT(data, [0]) - xax = np.linspace(0, 48 - res, time_freq * 2) - ax.plot(xax, np.concatenate((data, data)), "." + line_c, label=data_name) - xax = np.linspace(0, 48 - res, time_freq * 2 * 3) - w = 2.0 * np.pi / 24 - yax = (c + maxvalue[0] * np.sin(w * xax + np.pi / 2 - tmax[0] * w))[0] - ax.plot(xax, yax, line_c, label="First harmonic") - plt.xlim([24 - t_conv, 47 - t_conv + 1]) - plt.ylim([0, 5.5]) - # ymin, ymax = plt.gca().get_ylim() - # plt.ylim(ymin, ymax) - plt.xlabel("local solar time [hr]") - # plt.ylabel(parameter.var_name + ' (' +parameter.var_units+ ')') - plt.ylabel("Total Precipitation Rate" + " (" + parameter.var_units + ")") - xax = np.arange(24 - t_conv, 47 - t_conv, 3) - my_xticks = ["0h", "3h", "6h", "9h", "12h", "15h", "18h", "21h"] - plt.xticks(xax, my_xticks) - plt.legend(loc="upper right") - plt.title(output_file_name.replace("-", " ")) - - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), output_file_name + "." + f - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - plt.close() - - -def plot_diurnal_cycle_zt(var, vars_to_data, parameter): - ref = vars_to_data.refs[0] - test = vars_to_data.test - lst = vars_to_data.misc - month = [ - "Jan", - "Feb", - "Mar", - "Apr", - "May", - "Jun", - "Jul", - "Aug", - "Sep", - "Oct", - "Nov", - "Dec", - ] - - for index in range(2): - fig, axs = plt.subplots( - 4, - 3, - figsize=(15, 12), - facecolor="w", - edgecolor="k", - sharex=True, - sharey=True, - ) - fig.subplots_adjust(hspace=0.4, wspace=0.1) - axs = axs.ravel() - t_conv = lst[0][0][0] - for imon in range(12): - if index == 0: - title = parameter.ref_name - data = ref - data_name = "ref" - if "armdiags" in title: - data = data[:, :, ::-1] - - else: - title = parameter.test_name_yrs - data = test - data_name = "test" - - time_freq = data.shape[1] - yy = np.linspace(0, 48, time_freq * 2) - xx = np.linspace(100, 1000, 37) - x, y = np.meshgrid(xx, yy) - data_con = np.concatenate((data[imon, :, :], data[imon, :, :]), axis=0) - im = axs[imon].pcolormesh( - y, x, data_con[:, :], vmin=0, vmax=30, cmap="jet", shading="auto" - ) - axs[imon].set_title(month[imon]) - plt.xlim([24 - t_conv, 47 - t_conv]) - xax = np.arange(24 - t_conv, 47 - t_conv, 3) - my_xticks = ["0", "3", "6", "9", "12", "15", "18", "21"] - plt.xticks(xax, my_xticks) - axs[imon].xaxis.set_tick_params(labelbottom=True) - - # for ax in axs[9:12]: - axs[imon].set_xlabel("Local time (hr)") - for ax in axs[::3]: - ax.set_ylabel("Pressure (mb)") - axs[0].invert_yaxis() - site = parameter.output_file.split("-")[-1] - suptitle = "Cloud Fraction Monthly Diurnal Cycle " + site + "\n" + title - plt.suptitle(suptitle, fontsize=20) - fig.subplots_adjust(right=0.8) - cbar_ax = fig.add_axes([0.85, 0.15, 0.05, 0.7]) - fig.colorbar(im, cax=cbar_ax) - plt.title("cl (%)") - - output_file_name = parameter.output_file + "-" + data_name - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - # Get the filename that the user has passed in and display that. - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - logger.info(f"Plot saved in: {fnm}") - - plt.close() diff --git a/e3sm_diags/plot/cartopy/qbo_plot.py b/e3sm_diags/plot/cartopy/qbo_plot.py deleted file mode 100644 index a560b76d7..000000000 --- a/e3sm_diags/plot/cartopy/qbo_plot.py +++ /dev/null @@ -1,296 +0,0 @@ -from __future__ import print_function - -import os - -import matplotlib -import numpy as np - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger - -matplotlib.use("Agg") -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -# rect : tuple (left, bottom, width, height) -# All quantities are in fractions of figure width and height. -panel = [ - (0.075, 0.75, 0.6, 0.175), # Adjusted height and y position - (0.075, 0.525, 0.6, 0.175), # Adjusted height and y position - (0.725, 0.525, 0.2, 0.4), # Adjusted height and y position - (0.075, 0.285, 0.85, 0.175), # Adjusted height and y position - (0.075, 0.04, 0.85, 0.175), # Adjusted height and y position -] - -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - - -def plot_panel( - n, - fig, - plot_type, - label_size, - title, - x, - y, - z=None, - plot_colors=None, - color_levels=None, - color_ticks=None, -): - # x,y,z should be of the form: - # dict(axis_range=None, axis_scale=None, data=None, data_label=None, data2=None, data2_label=None, label=None) - - # Create new figure axis using dimensions from panel (hard coded) - ax = fig.add_axes(panel[n]) - # Plot either a contourf or line plot - if plot_type == "contourf": - if "data" not in z: - raise RuntimeError( - 'Must set z["data"] to use plot_type={}.'.format(plot_type) - ) - p1 = ax.contourf( - x["data"], y["data"], z["data"], color_levels, cmap=plot_colors - ) - cbar = plt.colorbar(p1, ticks=color_ticks) - cbar.ax.tick_params(labelsize=label_size) - - if plot_type == "line": - if "data2" not in x or "data2" not in y: - raise RuntimeError( - "Must set data2 for both x and y to use plot_type={}.".format(plot_type) - ) - elif "data_label" not in x or "data2_label" not in x: - raise RuntimeError( - "Must set data_label and data2_label for x to use plot_type={}.".format( - plot_type - ) - ) - (p1,) = ax.plot(x["data"], y["data"], "-ok") - (p2,) = ax.plot(x["data2"], y["data2"], "--or") - if n == 3 or n == 4: - # Find the index of the wavelet maximum value - test_ymax_idx = list(y["data"]).index(max(y["data"])) - ref_ymax_idx = list(y["data2"]).index(max(y["data2"])) - - # Use the index to get the period value for peak of spectra - test_y_max_xval = list(x["data"])[test_ymax_idx] - ref_y_max_xval = list(x["data2"])[ref_ymax_idx] - - # Plot vertical lines for period peaks - ax.axvline( - x=test_y_max_xval, - ymax=max(y["data"]) / y["axis_range"][1], - color="k", - linestyle="-", - ) - ax.axvline( - x=ref_y_max_xval, - ymax=max(y["data2"]) / y["axis_range"][1], - color="r", - linestyle="--", - ) - plt.grid("on") - ax.legend( - (p1, p2), - (x["data_label"], x["data2_label"]), - loc="upper right", - fontsize=label_size, - ) - ax.set_title(title, size=label_size, weight="demi") - ax.set_xlabel(x["label"], size=label_size) - ax.set_ylabel(y["label"], size=label_size) - plt.yscale(y["axis_scale"]) - plt.ylim([y["axis_range"][0], y["axis_range"][1]]) - plt.yticks(size=label_size) - plt.xscale(x["axis_scale"]) - if n == 3 or n == 4: - # Set custom x-axis tick labels to include period corresponding to peak of wavelet spectra - standard_ticks = list(np.arange(x["axis_range"][0], x["axis_range"][1] + 1, 5)) - custom_ticks = sorted(standard_ticks + [test_y_max_xval, ref_y_max_xval]) - ax.set_xticks(custom_ticks) - plt.xlim([x["axis_range"][0], x["axis_range"][1]]) - plt.xticks(size=label_size) - - return ax - - -def plot(parameter, test, ref): - label_size = 14 - - fig = plt.figure(figsize=(14, 18)) - - months = np.minimum(ref["qbo"].shape[0], test["qbo"].shape[0]) - x_test, y_test = np.meshgrid(np.arange(0, months), test["level"]) - x_ref, y_ref = np.meshgrid(np.arange(0, months), ref["level"]) - cmap2 = plt.cm.RdBu_r - color_levels0 = np.arange(-50, 51, 100.0 / 20.0) - - # Panel 0 (Top Left) - x = dict(axis_range=[0, months], axis_scale="linear", data=x_test, label=" ") - y = dict(axis_range=[100, 1], axis_scale="log", data=y_test, label="hPa") - z = dict(data=test["qbo"].T[:, :months]) - title = "{} U [{}] 5S-5N ({})".format(test["name"], "m/s", parameter.test_yrs) - ax0 = plot_panel( # noqa - 0, - fig, - "contourf", - label_size, - title, - x, - y, - z=z, - plot_colors=cmap2, - color_levels=color_levels0, - color_ticks=[-50, -25, -5, 5, 25, 50], - ) - - # Panel 1 (Middle Left) - x = dict(axis_range=[0, months], axis_scale="linear", data=x_ref, label="month") - y = dict(axis_range=[100, 1], axis_scale="log", data=y_ref, label="hPa") - z = dict(data=ref["qbo"].T[:, :months]) - title = "{} U [{}] 5S-5N ({})".format(ref["name"], "m/s", parameter.ref_yrs) - plot_panel( - 1, - fig, - "contourf", - label_size, - title, - x, - y, - z=z, - plot_colors=cmap2, - color_levels=color_levels0, - color_ticks=[-50, -25, -5, 5, 25, 50], - ) - # Panel 2 (Top/Middle Right) - x = dict( - axis_range=[0, 30], - axis_scale="linear", - data=test["amplitude"][:], - data_label=test["name"], - data2=ref["amplitude"][:], - data2_label=ref["name"], - label="Amplitude (m/s)", - ) - y = dict( - axis_range=[100, 1], - axis_scale="log", - data=test["level"][:], - data2=ref["level"][:], - label="Pressure (hPa)", - ) - title = "QBO Amplitude \n (period = 20-40 months)" - plot_panel(2, fig, "line", label_size, title, x, y) - - # Panel 3 (Bottom/Top) - x = dict( - axis_range=[5, 50], - axis_scale="linear", - data=test["period_new"], - data_label=test["name"], - data2=ref["period_new"], - data2_label=ref["name"], - label="Period (months)", - ) - y = dict( - axis_range=[-1, 25], - axis_scale="linear", - data=test["amplitude_new"], - data2=ref["amplitude_new"], - label="Amplitude (m/s)", - ) - title = "QBO Spectral Density (Eq. 18-22 hPa zonal winds)" - plot_panel(3, fig, "line", label_size, title, x, y) - - # Panel 4 (Bottom/Bottom) - x = dict( - axis_range=[5, 50], - axis_scale="linear", - data=test["wave_period"], - data_label=test["name"], - data2=ref["wave_period"], - data2_label=ref["name"], - label="Period (months)", - ) - y = dict( - axis_range=[-1, 105], - axis_scale="linear", - data=test["wavelet"], - data2=ref["wavelet"], - label="Variance (" + "m\u00b2/s\u00b2" + ")", - ) - title = "QBO Wavelet (Eq. 18-22 hPa zonal winds)" - plot_panel(4, fig, "line", label_size, title, x, y) - - plt.tight_layout() - - # Figure title - fig.suptitle(parameter.main_title, x=0.5, y=0.97, fontsize=15) - - # Prepare to save figure - # get_output_dir => {parameter.results_dir}/{set_name}/{parameter.case_id} - # => {parameter.results_dir}/qbo/{parameter.case_id} - output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Output dir: {}".format(output_dir)) - # get_output_dir => {parameter.orig_results_dir}/{set_name}/{parameter.case_id} - # => {parameter.orig_results_dir}/qbo/{parameter.case_id} - original_output_dir = get_output_dir(parameter.current_set, parameter) - if parameter.print_statements: - logger.info("Original output dir: {}".format(original_output_dir)) - # parameter.output_file is defined in e3sm_diags/driver/qbo_driver.py - # {parameter.results_dir}/qbo/{parameter.case_id}/{parameter.output_file} - file_path = os.path.join(output_dir, parameter.output_file) - # {parameter.orig_results_dir}/qbo/{parameter.case_id}/{parameter.output_file} - original_file_path = os.path.join(original_output_dir, parameter.output_file) - - # Save figure - for f in parameter.output_format: - f = f.lower().split(".")[-1] - plot_suffix = "." + f - plot_file_path = file_path + plot_suffix - plt.savefig(plot_file_path) - # Get the filename that the user has passed in and display that. - original_plot_file_path = original_file_path + plot_suffix - logger.info(f"Plot saved in: {original_plot_file_path}") - - # TODO: The subplots don't come out so nicely. Same for ENSO Diags - # See Issue 294 - # Save individual subplots - for f in parameter.output_format_subplot: - # i = 0 - # for ax in [ax0, ax1, ax2, ax3]: - # # Extent of subplot - # # https://stackoverflow.com/questions/4325733/save-a-subplot-in-matplotlib - # extent = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - # # Save subplot - # subplot_suffix = ('.%i.' % i) + f - # subplot_file_path = file_path + subplot_suffix - # plt.savefig(subplot_file_path, bbox_inches=extent.expanded(1.1, 1.2)) - # i += 1 - # # Get the filename that the user has passed in and display that. - # original_subplot_file_path = original_file_path + subplot_suffix - # logger.info('Sub-plot saved in: ' + original_subplot_file_path) - page = fig.get_size_inches() - i = 0 - for p in panel: - # Extent of subplot - subpage = np.array(p).reshape(2, 2) - subpage[1, :] = subpage[0, :] + subpage[1, :] - subpage = subpage + np.array(border).reshape(2, 2) - subpage = list(((subpage) * page).flatten()) # type: ignore - extent = matplotlib.transforms.Bbox.from_extents(*subpage) - # Save subplot - subplot_suffix = (".%i." % i) + f - subplot_file_path = file_path + subplot_suffix - plt.savefig(subplot_file_path, bbox_inches=extent) - # Get the filename that the user has passed in and display that. - original_subplot_file_path = original_file_path + subplot_suffix - logger.info(f"Sub-plot saved in: {original_subplot_file_path}") - i += 1 - - plt.close() diff --git a/e3sm_diags/plot/cartopy/tc_analysis_plot.py b/e3sm_diags/plot/cartopy/tc_analysis_plot.py deleted file mode 100644 index 2b3a6b357..000000000 --- a/e3sm_diags/plot/cartopy/tc_analysis_plot.py +++ /dev/null @@ -1,351 +0,0 @@ -import os - -import cartopy.crs as ccrs -import cartopy.feature as cfeature -import matplotlib -import numpy as np -from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter - -from e3sm_diags.driver.utils.general import get_output_dir -from e3sm_diags.logger import custom_logger - -matplotlib.use("agg") -import matplotlib.pyplot as plt # isort:skip # noqa: E402 - -logger = custom_logger(__name__) - -plotTitle = {"fontsize": 11.5} -plotSideTitle = {"fontsize": 9.5} - -# Position and sizes of subplot axes in page coordinates (0 to 1) -panel = [ - (0.1691, 0.55, 0.6465, 0.2758), - (0.1691, 0.27, 0.6465, 0.2758), -] -# Border padding relative to subplot axes for saving individual panels -# (left, bottom, right, top) in page coordinates -border = (-0.06, -0.03, 0.13, 0.03) - -plot_info = {} -# Each key gives a list with ax extent, x ticks , y ticks, title, clevs, reference and time resolution ratio (convert 3hrly to 6hrly data, density needs to be devided by 2) -# TODO flexible to apply to 3hrly model output when compare track density. -plot_info["aew"] = [ - [182, 359, 0, 35], - [240, 300], - [0, 15, 30], - "African Easterly Wave Density", - np.arange(0, 15.1, 1), - "EAR5 (2000-2014)", - 1, -] -plot_info["cyclone"] = [ - [0, 359, -60, 60], - [0, 60, 120, 180, 240, 300, 359.99], - [-60, -30, 0, 30, 60], - "TC Tracks Density", - np.arange(0, 0.3, 0.05), - "IBTrACS (1979-2018)", - 2, -] - - -def add_cyclic(var): - lon = var.getLongitude() - return var(longitude=(lon[0], lon[0] + 360.0, "coe")) - - -def get_ax_size(fig, ax): - bbox = ax.get_window_extent().transformed(fig.dpi_scale_trans.inverted()) - width, height = bbox.width, bbox.height - width *= fig.dpi - height *= fig.dpi - return width, height - - -def plot_panel(n, fig, proj, var, var_num_years, region, title): - ax = fig.add_axes(panel[n], projection=proj) - ax.set_extent(plot_info[region][0], ccrs.PlateCarree()) - - clevs = plot_info[region][4] - p1 = ax.contourf( - var.getLongitude(), - var.getLatitude(), - var / var_num_years / plot_info[region][6], - transform=ccrs.PlateCarree(), - levels=clevs, - extend="both", - cmap="jet", - ) - ax.coastlines(lw=0.3) - ax.add_feature(cfeature.LAND, zorder=100, edgecolor="k") - - if title != "Observation": - ax.set_title("{}".format(title), fontdict=plotTitle) - else: - ax.set_title("{}".format(plot_info[region][5]), fontdict=plotTitle) - ax.set_xticks(plot_info[region][1], crs=ccrs.PlateCarree()) - ax.set_yticks(plot_info[region][2], crs=ccrs.PlateCarree()) - lon_formatter = LongitudeFormatter(zero_direction_label=True, number_format=".0f") - lat_formatter = LatitudeFormatter() - ax.xaxis.set_major_formatter(lon_formatter) - ax.yaxis.set_major_formatter(lat_formatter) - ax.tick_params(labelsize=8.0, direction="out", width=1) - ax.xaxis.set_ticks_position("bottom") - ax.yaxis.set_ticks_position("left") - cbax = fig.add_axes((panel[n][0] + 0.6635, panel[n][1] + 0.0215, 0.0326, 0.1792)) - cbar = fig.colorbar(p1, cax=cbax) - - cbar.ax.tick_params(labelsize=9.0, length=0) - return - - -def plot_map(test_data, ref_data, region, parameter): - """Create figure, projection for maps""" - - test = test_data["{}_density".format(region)] - test_num_years = test_data["{}_num_years".format(region)] - - ref = ref_data["{}_density".format(region)] - ref_num_years = ref_data["{}_num_years".format(region)] - - fig = plt.figure(figsize=[8.5, 8.5], dpi=parameter.dpi) - proj = ccrs.PlateCarree(central_longitude=180) - - # First panel - plot_panel( - 0, - fig, - proj, - test, - test_num_years, - region, - parameter.test_title, - ) - - # Second panel - plot_panel( - 1, - fig, - proj, - ref, - ref_num_years, - region, - parameter.ref_title, - ) - - # Figure title - fig.suptitle(plot_info[region][3], x=0.5, y=0.9, fontsize=14) - # plt.show() - output_file_name = "{}-density-map".format(region) - - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - plt.close() - - -def plot(test, ref, parameter, basin_dict): - test_metrics = test["metrics"] - ref_metrics = ref["metrics"] - - test_num_year = test_metrics["num_years"] - ref_num_year = ref_metrics["num_years"] - - if parameter.short_test_name: - test_name = parameter.short_test_name - else: - test_name = parameter.test_name - ref_name = parameter.ref_name - - # TC intensity of each basins - fig, axes = plt.subplots(2, 3, figsize=(12, 7), sharex=True, sharey=True) - fig.subplots_adjust(hspace=0.4, wspace=0.15) - axes = axes.ravel() - - ace_ref = [] - ace_test = [] - num_ref = [] - num_test = [] - for ifig, (basin, basin_info) in enumerate(basin_dict.items()): - ace_ref.append(ref_metrics[basin][0]) - ace_test.append(test_metrics[basin][0]) - num_ref.append(ref_metrics[basin][3]) - num_test.append(test_metrics[basin][3]) - ax = axes[ifig] - ax.plot( - np.arange(1, 7), - test_metrics[basin][1] / test_num_year, - "--k", - linewidth=2, - label="Test", - ) - ax.plot( - np.arange(1, 7), - ref_metrics[basin][1] / ref_num_year, - "k", - linewidth=2, - label="Ref", - ) - ax.legend() - ax.set_title(basin_info[0]) - ax.set_ylabel("TCs per year") - plt.xticks([1, 2, 3, 4, 5, 6], ["Cat0", "Cat1", "Cat2", "Cat3", "Cat4", "Cat5"]) - ax.xaxis.set_tick_params(labelbottom=True) - - plt.suptitle( - "Test: {}".format(test_name) + "\n" + "Ref: {}".format(ref_name), - ha="left", - x=0.1, - y=0.99, - ) - - output_file_name = "tc-intensity" - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - plt.close() - - # TC frequency of each basins - fig = plt.figure(figsize=(12, 7)) - ax = fig.add_subplot(111) - - N = 6 - ind = np.arange(N) # the x locations for the groups - width = 0.27 - - ref_vals = num_ref / np.sum(num_ref) - rects2 = ax.bar(ind - width / 2, ref_vals, width, color="black") - test_vals = num_test / np.sum(num_test) - rects1 = ax.bar(ind + width / 2, test_vals, width, color="darkgrey") - logger.info("total number based on 6 basins") - - ax.set_xticks(ind) - ax.set_xticklabels( - ( - "North Atlantic", - "Northwest Pacific", - "Eastern Pacific", - "North Indian", - "South Indian", - "South Pacific", - ) - ) - - ax.legend( - (rects2[0], rects1[0]), - ( - "{}: (~{})storms per year".format(ref_name, int(np.sum(num_ref))), - "{}: (~{}) storms per year".format(test_name, int(np.sum(num_test))), - ), - ) - ax.set_ylabel("Fraction") - ax.set_title("Relative frequency of TCs for each ocean basins") - - output_file_name = "tc-frequency" - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - plt.close() - - fig1 = plt.figure(figsize=(12, 6)) - ax = fig1.add_subplot(111) - - N = 6 - ind = np.arange(N) # the x locations for the groups - width = 0.27 - - ref_vals = ace_ref / np.sum(ace_ref) - rects2 = ax.bar(ind - width / 2, ref_vals, width, color="black") - test_vals = ace_test / np.sum(ace_test) - rects1 = ax.bar(ind + width / 2, test_vals, width, color="darkgrey") - - ax.set_xticks(ind) - ax.set_xticklabels( - ( - "North Atlantic", - "Northwest Pacific", - "Eastern Pacific", - "North Indian", - "South Indian", - "South Pacific", - ) - ) - - ax.legend((rects2[0], rects1[0]), (ref_name, test_name)) - ax.set_ylabel("Fraction") - ax.set_title( - "Distribution of accumulated cyclone energy (ACE) among various ocean basins" - ) - output_file_name = "ace-distribution" - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - plt.close() - - fig, axes = plt.subplots(2, 3, figsize=(12, 6), sharex=True, sharey=True) - fig.subplots_adjust(hspace=0.4, wspace=0.15) - axes = axes.ravel() - - for ifig, (basin, basin_info) in enumerate(basin_dict.items()): - ax = axes[ifig] - ax.plot(np.arange(1, 13), ref_metrics[basin][2], "k", linewidth=2, label="Test") - ax.plot( - np.arange(1, 13), - test_metrics[basin][2], - "--k", - linewidth=2, - label="Ref", - ) - ax.legend() - ax.set_title(basin_info[0]) - ax.set_ylabel("Fraction") - plt.xticks( - [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12], - ["J", "F", "M", "A", "M", "J", "J", "A", "S", "O", "N", "D"], - ) - ax.xaxis.set_tick_params(labelbottom=True) - - plt.suptitle( - "Test: {}".format(test_name) + "\n" + "Ref: {}".format(ref_name), - ha="left", - x=0.1, - y=0.99, - ) - - output_file_name = "tc-frequency-annual-cycle" - for f in parameter.output_format: - f = f.lower().split(".")[-1] - fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), - output_file_name + "." + f, - ) - plt.savefig(fnm) - logger.info(f"Plot saved in: {fnm}") - plt.close() - - ########################################################## - # Plot TC tracks density - plot_map(test, ref, "aew", parameter) - - # Plot AEW density - plot_map(test, ref, "cyclone", parameter) diff --git a/e3sm_diags/plot/cosp_histogram_plot.py b/e3sm_diags/plot/cosp_histogram_plot.py index c495aef15..d5d9225ca 100644 --- a/e3sm_diags/plot/cosp_histogram_plot.py +++ b/e3sm_diags/plot/cosp_histogram_plot.py @@ -6,8 +6,7 @@ from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.plot import get_colormap -from e3sm_diags.plot.utils import _save_plot +from e3sm_diags.plot.utils import _get_colormap, _save_plot matplotlib.use("Agg") import matplotlib.colors as colors # isort:skip # noqa: E402 @@ -43,7 +42,6 @@ def plot( 0, da_test, fig, - parameter, parameter.contour_levels, "rainbow", title=(parameter.test_name_yrs, parameter.test_title, da_test.units), @@ -52,7 +50,6 @@ def plot( 1, da_ref, fig, - parameter, parameter.contour_levels, "rainbow", title=(parameter.ref_name_yrs, parameter.reference_title, da_test.units), @@ -61,7 +58,6 @@ def plot( 2, da_diff, fig, - parameter, parameter.diff_levels, parameter.diff_colormap, title=(parameter.diff_name, parameter.diff_title, da_test.units), @@ -79,7 +75,6 @@ def _add_colormap( subplot_num: int, var: xr.DataArray, fig: plt.Figure, - parameter: CoreParameter, contour_levels: List[float], color_map: str, title: Tuple[Union[str, None], str, str], @@ -94,7 +89,7 @@ def _add_colormap( # Contour plot ax = fig.add_axes(PANEL_CFG[subplot_num]) - color_map = get_colormap(color_map, parameter) + color_map = _get_colormap(color_map) p1 = plt.pcolormesh(var, cmap=color_map, norm=norm) # Calculate 3 x 3 grids for cloud fraction for nine cloud class # Place cloud fraction of each cloud class in plot: diff --git a/e3sm_diags/plot/enso_diags_plot.py b/e3sm_diags/plot/enso_diags_plot.py index 29663a9f1..a2fd8d9da 100644 --- a/e3sm_diags/plot/enso_diags_plot.py +++ b/e3sm_diags/plot/enso_diags_plot.py @@ -251,7 +251,7 @@ def _add_colormap( ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=PROJECTION) ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=PROJECTION) contour_plot = _add_contour_plot( - ax, parameter, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels + ax, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels ) if conf is not None: diff --git a/e3sm_diags/plot/lat_lon_plot.py b/e3sm_diags/plot/lat_lon_plot.py index d4d648f82..11550ddcc 100644 --- a/e3sm_diags/plot/lat_lon_plot.py +++ b/e3sm_diags/plot/lat_lon_plot.py @@ -201,7 +201,7 @@ def _add_colormap( ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=projection) ax.set_extent([lon_west, lon_east, lat_south, lat_north], crs=projection) contour_plot = _add_contour_plot( - ax, parameter, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels + ax, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels ) # Configure the aspect ratio and coast lines. diff --git a/e3sm_diags/plot/meridional_mean_2d_plot.py b/e3sm_diags/plot/meridional_mean_2d_plot.py index 677bc5185..c1c239f50 100644 --- a/e3sm_diags/plot/meridional_mean_2d_plot.py +++ b/e3sm_diags/plot/meridional_mean_2d_plot.py @@ -116,7 +116,7 @@ def _add_colormap( # -------------------------------------------------------------------------- ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num]) contour_plot = _add_contour_plot( - ax, parameter, var, lon, plev, color_map, None, norm, c_levels + ax, var, lon, plev, color_map, None, norm, c_levels ) # Configure the aspect ratio and plot titles. diff --git a/e3sm_diags/plot/mp_partition_plot.py b/e3sm_diags/plot/mp_partition_plot.py index 81439740a..9d6123c6d 100644 --- a/e3sm_diags/plot/mp_partition_plot.py +++ b/e3sm_diags/plot/mp_partition_plot.py @@ -2,7 +2,7 @@ import matplotlib -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.io import _get_output_dir from e3sm_diags.logger import custom_logger matplotlib.use("Agg") @@ -92,7 +92,7 @@ def plot(metrics_dict, parameter): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), f"{parameter.output_file}" + "." + f, ) plt.savefig(fnm) diff --git a/e3sm_diags/plot/polar_plot.py b/e3sm_diags/plot/polar_plot.py index 68a29ef51..7e09992f7 100644 --- a/e3sm_diags/plot/polar_plot.py +++ b/e3sm_diags/plot/polar_plot.py @@ -186,7 +186,7 @@ def _add_colormap( # Configure contour plot. # -------------------------------------------------------------------------- contour_plot = _add_contour_plot( - ax, parameter, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels + ax, var, lon, lat, color_map, ccrs.PlateCarree(), norm, c_levels ) ax.set_aspect("auto") diff --git a/e3sm_diags/plot/cartopy/taylor_diagram.py b/e3sm_diags/plot/taylor_diagram.py similarity index 100% rename from e3sm_diags/plot/cartopy/taylor_diagram.py rename to e3sm_diags/plot/taylor_diagram.py diff --git a/e3sm_diags/plot/tc_analysis_plot.py b/e3sm_diags/plot/tc_analysis_plot.py index 39337a490..2e7c53a68 100644 --- a/e3sm_diags/plot/tc_analysis_plot.py +++ b/e3sm_diags/plot/tc_analysis_plot.py @@ -7,7 +7,7 @@ import xcdat as xc from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.io import _get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.plot.utils import MAIN_TITLE_FONTSIZE @@ -107,7 +107,7 @@ def plot(test, ref, parameter, basin_dict): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), output_file_name + "." + f, ) plt.savefig(fnm) @@ -154,7 +154,7 @@ def plot(test, ref, parameter, basin_dict): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), output_file_name + "." + f, ) plt.savefig(fnm) @@ -194,7 +194,7 @@ def plot(test, ref, parameter, basin_dict): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), output_file_name + "." + f, ) plt.savefig(fnm) @@ -235,7 +235,7 @@ def plot(test, ref, parameter, basin_dict): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), output_file_name + "." + f, ) plt.savefig(fnm) @@ -291,7 +291,7 @@ def plot_map(test_data, ref_data, region, parameter): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), output_file_name + "." + f, ) plt.savefig(fnm) diff --git a/e3sm_diags/plot/tropical_subseasonal_plot.py b/e3sm_diags/plot/tropical_subseasonal_plot.py index 931fe31fa..59bbf0bc8 100755 --- a/e3sm_diags/plot/tropical_subseasonal_plot.py +++ b/e3sm_diags/plot/tropical_subseasonal_plot.py @@ -8,7 +8,7 @@ from matplotlib.colors import BoundaryNorm, ListedColormap from e3sm_diags.driver.utils import zwf_functions as wf -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags.driver.utils.io import _get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.core_parameter import CoreParameter @@ -243,7 +243,7 @@ def _save_plot(fig: plt.figure, parameter: CoreParameter): for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file + "." + f, ) plt.savefig(fnm) @@ -257,7 +257,7 @@ def _save_plot(fig: plt.figure, parameter: CoreParameter): for f in parameter.output_format_subplot: fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file, ) page = fig.get_size_inches() @@ -275,7 +275,7 @@ def _save_plot(fig: plt.figure, parameter: CoreParameter): plt.savefig(fname, bbox_inches=extent) orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file, ) fname = orig_fnm + ".%i." % idx + f @@ -415,7 +415,7 @@ def _wave_frequency_plot( # noqa: C901 if parameter.save_netcdf: fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file + f"_{subplot_num}.nc", ) z.to_netcdf(fnm) diff --git a/e3sm_diags/plot/utils.py b/e3sm_diags/plot/utils.py index 37481d69b..130858f7d 100644 --- a/e3sm_diags/plot/utils.py +++ b/e3sm_diags/plot/utils.py @@ -12,10 +12,10 @@ from cartopy.mpl.ticker import LatitudeFormatter, LongitudeFormatter from matplotlib.transforms import Bbox -from e3sm_diags.driver.utils.general import get_output_dir +from e3sm_diags import INSTALL_PATH +from e3sm_diags.driver.utils.io import _get_output_dir from e3sm_diags.logger import custom_logger from e3sm_diags.parameter.core_parameter import CoreParameter -from e3sm_diags.plot import get_colormap matplotlib.use("Agg") from matplotlib import colors # isort:skip # noqa: E402 @@ -84,7 +84,7 @@ def _save_plot( for f in parameter.output_format: f = f.lower().split(".")[-1] fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file + "." + f, ) plt.savefig(fnm) @@ -98,7 +98,7 @@ def _save_plot( for f in parameter.output_format_subplot: fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file, ) page = fig.get_size_inches() @@ -116,7 +116,7 @@ def _save_plot( plt.savefig(fname, bbox_inches=extent) orig_fnm = os.path.join( - get_output_dir(parameter.current_set, parameter), + _get_output_dir(parameter), parameter.output_file, ) fname = orig_fnm + ".%i." % idx + f @@ -193,7 +193,6 @@ def _get_c_levels_and_norm( def _add_contour_plot( ax: matplotlib.axes.Axes, - parameter: CoreParameter, var: xr.DataArray, x: xr.DataArray, y: xr.DataArray, @@ -208,8 +207,6 @@ def _add_contour_plot( ---------- ax : matplotlib.axes.Axes The figure axes object. - parameter : CoreParameter - The CoreParameter object containing plot configurations. var : xr.DataArray The variable to plot. x : xr.DataArray @@ -230,7 +227,7 @@ def _add_contour_plot( mcontour.QuadContourSet The contour plot object. """ - cmap = get_colormap(color_map, parameter) + cmap = _get_colormap(color_map) c_plot = ax.contourf( x, @@ -246,6 +243,54 @@ def _add_contour_plot( return c_plot +def _get_colormap(color_map: str): + """Get the colormap (string or mpl colormap object). + + This function retrieves a colormap which can be a predefined matplotlib + colormap, a colormap defined in a local .rgb file, or a colormap installed + in a predefined path. + + Parameters + ---------- + color_map : str + The name of the colormap or the path to a .rgb file. + + Returns + ------- + str or matplotlib.colors.LinearSegmentedColormap + The colormap as a string if it's a predefined colormap, or a + LinearSegmentedColormap object if it's loaded from a .rgb file. + + Raises + ------ + IOError + If the .rgb file is not found in the current working directory or the + installed colormaps directory. + """ + color_map = str(color_map) # unicode don't seem to work well with string.endswith() + if not color_map.endswith(".rgb"): # predefined vcs/mpl colormap + return color_map + + installed_colormap = os.path.join(INSTALL_PATH, "colormaps", color_map) + + if os.path.exists(color_map): + # colormap is an .rgb in the current directory + pass + elif not os.path.exists(color_map) and os.path.exists(installed_colormap): + # use the colormap from /plot/colormaps + color_map = installed_colormap + elif not os.path.exists(color_map) and not os.path.exists(installed_colormap): + pth = os.path.join(INSTALL_PATH, "colormaps") + msg = "File {} isn't in the current working directory or installed in {}" + raise IOError(msg.format(color_map, pth)) + + rgb_arr = np.loadtxt(color_map) + rgb_arr = rgb_arr / 255.0 + + cmap = colors.LinearSegmentedColormap.from_list(name=color_map, colors=rgb_arr) + return cmap + + def _determine_tick_step(degrees_covered: float) -> int: """Determine the number of tick steps based on the degrees covered by the axis. diff --git a/e3sm_diags/plot/zonal_mean_2d_plot.py b/e3sm_diags/plot/zonal_mean_2d_plot.py index 13c3ffea8..21f55fdbe 100644 --- a/e3sm_diags/plot/zonal_mean_2d_plot.py +++ b/e3sm_diags/plot/zonal_mean_2d_plot.py @@ -139,7 +139,7 @@ def _add_colormap( ax = fig.add_axes(DEFAULT_PANEL_CFG[subplot_num], projection=None) contour_plot = _add_contour_plot( - ax, parameter, var, lat, plev, color_map, None, norm, c_levels + ax, var, lat, plev, color_map, None, norm, c_levels ) # Configure the aspect ratio and plot titles. diff --git a/e3sm_diags/viewer/lat_lon_viewer.py b/e3sm_diags/viewer/lat_lon_viewer.py index 678c68748..285bc110c 100644 --- a/e3sm_diags/viewer/lat_lon_viewer.py +++ b/e3sm_diags/viewer/lat_lon_viewer.py @@ -15,7 +15,7 @@ import e3sm_diags from e3sm_diags.logger import custom_logger -from e3sm_diags.plot.cartopy.taylor_diagram import TaylorDiagram +from e3sm_diags.plot.taylor_diagram import TaylorDiagram from . import utils diff --git a/tests/e3sm_diags/derivations/test_acme.py b/tests/e3sm_diags/derivations/test_acme.py deleted file mode 100644 index 1df0dc22d..000000000 --- a/tests/e3sm_diags/derivations/test_acme.py +++ /dev/null @@ -1,141 +0,0 @@ -from typing import TYPE_CHECKING -from unittest import TestCase -from unittest.mock import Mock - -import numpy as np - -from e3sm_diags.derivations.acme import ( - adjust_prs_val_units, - determine_cloud_level, - determine_tau, -) - -if TYPE_CHECKING: - from cdms2.axis import FileAxis - - -class TestAdjustPrsValUnits(TestCase): - def setUp(self): - self.mock_file_axis: "FileAxis" = Mock() - self.mock_file_axis.getData.return_value = np.arange(0, 1002) - - self.prs_val = 1 - self.prs_val0 = 10 - - def test_without_swapping_units(self): - actual = adjust_prs_val_units(self.mock_file_axis, self.prs_val, None) - expected = 1 - - self.assertEqual(actual, expected) - - def test_swap_units_without_multiplier_if_no_matched_id(self): - self.mock_file_axis.id = "no_match" - - actual = adjust_prs_val_units(self.mock_file_axis, self.prs_val, self.prs_val0) - expected = 10 - self.assertEqual(actual, expected) - - def test_swap_units_without_multiplier_if_max_less_than_1000( - self, - ): - self.mock_file_axis.id = "cosp_prs" - self.mock_file_axis.getData.return_value = np.arange(0, 1) - - actual = adjust_prs_val_units(self.mock_file_axis, self.prs_val, self.prs_val0) - expected = 10 - self.assertEqual(actual, expected) - - def test_swap_units_and_apply_multiplier_for_all_matched_ids(self): - adjust_ids = {"cosp_prs": 100, "cosp_htmisr": 1000} - - for id, multiplier in adjust_ids.items(): - self.mock_file_axis.id = id - - actual = adjust_prs_val_units( - self.mock_file_axis, self.prs_val, self.prs_val0 - ) - expected = self.prs_val0 * multiplier - self.assertEqual(actual, expected) - - -class TestDetermineCloudLevel(TestCase): - def setUp(self): - self.low_bnds = (1, 2) - self.high_bdns = (3, 4) - - def test_returns_middle_cloud_fraction(self): - actual = determine_cloud_level(1, 3, self.low_bnds, self.high_bdns) - expected = "middle cloud fraction" - self.assertEqual(actual, expected) - - def test_returns_high_cloud_fraction(self): - actual = determine_cloud_level(1, 1, self.low_bnds, self.high_bdns) - expected = "high cloud fraction" - self.assertEqual(actual, expected) - - def test_returns_low_cloud_fraction(self): - actual = determine_cloud_level(3, 3, self.low_bnds, self.high_bdns) - expected = "low cloud fraction" - self.assertEqual(actual, expected) - - def test_returns_total_cloud_fraction(self): - actual = determine_cloud_level(0, 5, self.low_bnds, self.high_bdns) - expected = "total cloud fraction" - self.assertEqual(actual, expected) - - -class TestDetermineTau(TestCase): - def setUp(self): - self.mock_file_axis: "FileAxis" = Mock() - self.mock_file_axis.getData.return_value = np.arange(0, 1002) - - # Need to mock __getitem__ in order to provide list value - self.mock_file_axis.__getitem__ = Mock() - self.mock_file_axis.__getitem__.side_effect = [0, 10] - - def test_low_arg_only(self): - expected_high = 10 - expected_low = 5 - expected_lim = "tau >5" - - actual_high, actual_low, actual_lim = determine_tau( - self.mock_file_axis, 5, None - ) - self.assertEqual(actual_high, expected_high) - self.assertEqual(actual_low, expected_low) - self.assertEqual(actual_lim, expected_lim) - - def test_high_arg_only(self): - expected_high = 10 - expected_low = 0 - expected_lim = "tau <10" - - actual_high, actual_low, actual_lim = determine_tau( - self.mock_file_axis, None, 10 - ) - - self.assertEqual(actual_high, expected_high) - self.assertEqual(actual_low, expected_low) - self.assertEqual(actual_lim, expected_lim) - - def test_low_and_high_args(self): - expected_high = 10 - expected_low = 5 - expected_lim = "5< tau < 10" - - actual_high, actual_low, actual_lim = determine_tau(self.mock_file_axis, 5, 10) - self.assertEqual(actual_high, expected_high) - self.assertEqual(actual_low, expected_low) - self.assertEqual(actual_lim, expected_lim) - - def test_no_args(self): - expected_high = 10 - expected_low = 0 - expected_lim = "0< tau < 10" - - actual_high, actual_low, actual_lim = determine_tau( - self.mock_file_axis, None, None - ) - self.assertEqual(actual_high, expected_high) - self.assertEqual(actual_low, expected_low) - self.assertEqual(actual_lim, expected_lim) diff --git a/tests/integration/test_dataset.py b/tests/integration/test_dataset.py deleted file mode 100644 index 321bebe4d..000000000 --- a/tests/integration/test_dataset.py +++ /dev/null @@ -1,198 +0,0 @@ -import unittest - -import cdms2 - -from e3sm_diags.derivations import acme as acme_derivations -from e3sm_diags.driver.utils.dataset import Dataset -from e3sm_diags.parameter.core_parameter import CoreParameter -from tests.integration.config import TEST_DATA_PATH - - -class TestDataset(unittest.TestCase): - def setUp(self): - self.parameter = CoreParameter() - - def test_convert_units(self): - with cdms2.open(f"{TEST_DATA_PATH}/precc.nc") as precc_file: - var = precc_file("PRECC") - - new_var = acme_derivations.convert_units(var, "mm/day") - self.assertEqual(new_var.units, "mm/day") - - def test_add_user_derived_vars(self): - my_vars = { - "A_NEW_VAR": { - ("v1", "v2"): lambda v1, v2: v1 + v2, - ("v3", "v4"): lambda v3, v4: v3 - v4, - }, - "PRECT": {("MY_PRECT",): lambda my_prect: my_prect}, - } - self.parameter.derived_variables = my_vars # type: ignore - data = Dataset(self.parameter, test=True) - self.assertTrue("A_NEW_VAR" in data.derived_vars) - - # In the default my_vars, each entry - # ('PRECT', 'A_NEW_VAR', etc) is an OrderedDict. - # We must check that what the user inserted is - # first, so it's used first. - self.assertTrue(list(data.derived_vars["PRECT"].keys())[0] == ("MY_PRECT",)) - - def test_is_timeseries(self): - self.parameter.ref_timeseries_input = True - data = Dataset(self.parameter, ref=True) - self.assertTrue(data.is_timeseries()) - - self.parameter.test_timeseries_input = True - data = Dataset(self.parameter, test=True) - self.assertTrue(data.is_timeseries()) - - self.parameter.ref_timeseries_input = False - data = Dataset(self.parameter, ref=True) - self.assertFalse(data.is_timeseries()) - - self.parameter.test_timeseries_input = False - data = Dataset(self.parameter, test=True) - self.assertFalse(data.is_timeseries()) - - def test_is_climo(self): - self.parameter.ref_timeseries_input = True - data = Dataset(self.parameter, ref=True) - self.assertFalse(data.is_climo()) - - self.parameter.test_timeseries_input = True - data = Dataset(self.parameter, test=True) - self.assertFalse(data.is_climo()) - - self.parameter.ref_timeseries_input = False - data = Dataset(self.parameter, ref=True) - self.assertTrue(data.is_climo()) - - self.parameter.test_timeseries_input = False - data = Dataset(self.parameter, test=True) - self.assertTrue(data.is_climo()) - - def test_get_attr_from_climo(self): - # We pass in the path to a file, so the input directory - # to the tests doesn't need to be like how it is for when e3sm_diags - # is ran wit a bunch of diags. - self.parameter.reference_data_path = TEST_DATA_PATH - self.parameter.ref_file = "ta_ERA-Interim_ANN_198001_201401_climo.nc" - data = Dataset(self.parameter, ref=True) - self.assertEqual(data.get_attr_from_climo("Conventions", "ANN"), "CF-1.0") - - """ - def test_process_derived_var_passes(self): - derived_var = { - 'PRECT': { - ('pr'): lambda x: x, - ('PRECC'): lambda x: 'this is some function' - } - } - - precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) - acme_derivations.process_derived_var('PRECT', derived_var, - precc_file, self.parameter) - precc_file.close() - - def test_process_derived_var_with_wrong_dict(self): - # pr, nothing, and nothing2 are not variables in the file we open - wrong_derived_var = { - 'PRECT': { - ('pr'): lambda x: x, - ('nothing1', 'nothing2'): lambda x, y: 'this is some function' - } - } - - precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) - with self.assertRaises(RuntimeError): - acme_derivations.process_derived_var( - 'PRECT', wrong_derived_var, precc_file, self.parameter) - precc_file.close() - - def test_process_derived_var_adds_to_dict(self): - # the one that's usually in the parameters file - derived_var_dict = { - 'PRECT': {('test'): lambda x: x} - } - # use this instead of the acme.derived_variables one - default_derived_vars = { - 'PRECT': { - ('pr'): lambda x: x, - ('PRECC'): lambda x: 'this is some function' - } - } - - # add derived_var_dict to default_derived_vars - precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) - self.parameter.derived_variables = derived_var_dict - acme_derivations.process_derived_var( - 'PRECT', default_derived_vars, precc_file, self.parameter) - precc_file.close() - - if 'test' not in default_derived_vars['PRECT']: - self.fail("Failed to insert test derived variable") - - # make sure that test is the first one - if 'test' != default_derived_vars['PRECT'].keys()[0]: - self.fail( - "Failed to insert test derived variable before default derived vars") - - def test_process_derived_var_adds_duplicate_to_dict(self): - # the one that's usually in the parameters file - # the function for PRECC below is different than the one in - # default_derived_vars - derived_var_dict = { - 'PRECT': {('PRECC'): lambda x: 'PRECC'} - } - # use this instead of the acme_derivations.derived_variables one - default_derived_vars = { - 'PRECT': { - ('pr'): lambda x: x, - ('PRECC'): lambda x: 'this is some function' - } - } - - # add derived_var_dict to default_derived_vars - precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) - self.parameter.derived_variables = derived_var_dict - msg = acme_derivations.process_derived_var( - 'PRECT', default_derived_vars, precc_file, self.parameter) - precc_file.close() - if msg != 'PRECC': - self.fail("Failed to insert a duplicate test derived variable") - - def test_process_derived_var_works_with_ordereddict(self): - derived_var_dict = { - 'PRECT': OrderedDict([ - (('something'), lambda x: 'something') - ]) - } - - default_derived_vars = { - 'PRECT': OrderedDict([ - (('pr'), lambda x: x), - (('PRECC'), lambda x: 'this is some function') - ]) - } - - precc_file = cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) - self.parameter.derived_variables = derived_var_dict - acme_derivations.process_derived_var( - 'PRECT', default_derived_vars, precc_file, self.parameter) - precc_file.close() - # Check that 'something' was inserted first - self.assertEqual(['something', 'pr', 'PRECC'], - default_derived_vars['PRECT'].keys()) - - def test_mask_by(self): - with cdms2.open(get_abs_file_path('integration_test_data/precc.nc')) as precc_file: - prcc = precc_file('PRECC') - with cdms2.open(get_abs_file_path('integration_test_data/precl.nc')) as precl_file: - prcl = precl_file('PRECL') - - acme_derivations.mask_by(prcc, prcl, low_limit=2.0) - """ - - -if __name__ == "__main__": - unittest.main() From cb1cfb2f6d2bfb2edbc6fdd29438743d4fbce3ff Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Fri, 8 Nov 2024 09:39:02 -0800 Subject: [PATCH 39/41] [Refactor]: CDAT Migration - Update dependencies and remove Dataset._add_cf_attrs_to_z_axes() (#891) --- .../863-z-bounds-fix/run_script.py | 22 ++++++++++++ conda-env/ci.yml | 8 ++--- conda-env/dev.yml | 8 ++--- e3sm_diags/driver/utils/dataset_xr.py | 34 ------------------- 4 files changed, 30 insertions(+), 42 deletions(-) create mode 100644 auxiliary_tools/cdat_regression_testing/863-z-bounds-fix/run_script.py diff --git a/auxiliary_tools/cdat_regression_testing/863-z-bounds-fix/run_script.py b/auxiliary_tools/cdat_regression_testing/863-z-bounds-fix/run_script.py new file mode 100644 index 000000000..7ca32ced9 --- /dev/null +++ b/auxiliary_tools/cdat_regression_testing/863-z-bounds-fix/run_script.py @@ -0,0 +1,22 @@ +import os +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.run import runner + +param = CoreParameter() + +# param.reference_data_path = '/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology' +# param.test_data_path = '/global/cfs/cdirs/e3sm/zhang40/e3sm_diags_for_EAMxx/data/Cess' +param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology" +) +param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/eamxx/post/data/rgr" +param.test_name = "eamxx_decadal" +param.seasons = ["ANN"] +# param.save_netcdf = True + +prefix = "/global/cfs/cdirs/e3sm/www/cdat-migration-fy24" +param.results_dir = os.path.join(prefix, "889-z-axis-bnds") + +runner.sets_to_run = ["zonal_mean_2d"] + +runner.run_diags([param]) diff --git a/conda-env/ci.yml b/conda-env/ci.yml index 463ca0b35..29a0ec6b8 100644 --- a/conda-env/ci.yml +++ b/conda-env/ci.yml @@ -21,11 +21,11 @@ dependencies: - matplotlib-base - netcdf4 - output_viewer >=1.3.0 - - numpy >=1.23.0 + - numpy >=2.0.0,<3.0.0 - shapely >=2.0.0,<3.0.0 - - xarray >=2023.02.0 - - xcdat >=0.6.0 - - xesmf >=0.7.0 + - xarray >=2024.03.0 + - xcdat >=0.7.3,<1.0.0 + - xesmf >=0.8.7 - xskillscore >=0.0.20 # Testing # ================== diff --git a/conda-env/dev.yml b/conda-env/dev.yml index 34e7b4a7b..ec0e1ec68 100644 --- a/conda-env/dev.yml +++ b/conda-env/dev.yml @@ -19,11 +19,11 @@ dependencies: - matplotlib-base - netcdf4 - output_viewer >=1.3.0 - - numpy >=1.23.0 + - numpy >=2.0.0,<3.0.0 - shapely >=2.0.0,<3.0.0 - - xarray >=2023.02.0 - - xcdat >=0.6.0 - - xesmf >=0.7.0 + - xarray >=2024.03.0 + - xcdat >=0.7.3,<1.0.0 + - xesmf >=0.8.7 - xskillscore >=0.0.20 # Testing # ======================= diff --git a/e3sm_diags/driver/utils/dataset_xr.py b/e3sm_diags/driver/utils/dataset_xr.py index 8c9defbf9..8b7706bf0 100644 --- a/e3sm_diags/driver/utils/dataset_xr.py +++ b/e3sm_diags/driver/utils/dataset_xr.py @@ -419,11 +419,6 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: filepath = self._get_climo_filepath(season) ds = self._open_climo_dataset(filepath) - # Add CF attributes to Z axes if they are missing. - # NOTE: This is a temporary workaround for xCDAT. - # Refer to https://github.com/xCDAT/xcdat/pull/708 - ds = self._add_cf_attrs_to_z_axes(ds) - if self.var in self.derived_vars_map: ds = self._get_dataset_with_derived_climo_var(ds) elif self.var in ds.data_vars.keys(): @@ -439,35 +434,6 @@ def _get_climo_dataset(self, season: str) -> xr.Dataset: return ds - def _add_cf_attrs_to_z_axes(self, ds: xr.Dataset) -> xr.Dataset: - """Add CF attributes to the Z axis of the dataset if the Z axis exists. - - This method is a temporary solution to enable xCDAT to properly - retrieve bounds for Z axes that do not have CF attributes, which - is required for downstream regridding operations. - - Parameters - ---------- - ds : xr.Dataset - The dataset. - - Returns - ------- - xr.Dataset - The dataset with CF attributes added to the Z axes. - """ - try: - dim = xc.get_dim_keys(ds, axis="Z") - except KeyError: - pass - else: - axis_attr = ds[dim].attrs.get("axis") - - if axis_attr is None: - ds[dim].attrs["axis"] = "Z" - - return ds - def _open_climo_dataset(self, filepath: str) -> xr.Dataset: """Open a climatology dataset. From 7b9b9be131af4486be0a7f9a5641a5958aa84165 Mon Sep 17 00:00:00 2001 From: Tom Vo Date: Wed, 20 Nov 2024 08:56:51 -0800 Subject: [PATCH 40/41] [DevOps]: CDAT Migration: Replace `setup.py` with `pyproject.toml` for modern Python packaging (#895) --- .github/workflows/build_workflow.yml | 6 +- .pre-commit-config.yaml | 2 +- conda-env/ci.yml | 2 +- conda-env/dev.yml | 2 +- pyproject.toml | 154 +++++++++++++++++++++++- setup.py | 174 --------------------------- tbump.toml | 3 - 7 files changed, 159 insertions(+), 184 deletions(-) delete mode 100644 setup.py diff --git a/.github/workflows/build_workflow.yml b/.github/workflows/build_workflow.yml index 5fe6d13f7..da1ac3b16 100644 --- a/.github/workflows/build_workflow.yml +++ b/.github/workflows/build_workflow.yml @@ -29,10 +29,10 @@ jobs: uses: actions/checkout@v3 - if: ${{ steps.skip_check.outputs.should_skip != 'true' }} - name: Set up Python 3.10 + name: Set up Python 3.11 uses: actions/setup-python@v3 with: - python-version: "3.10" + python-version: "3.11" - if: ${{ steps.skip_check.outputs.should_skip != 'true' }} # Run all pre-commit hooks on all the files. @@ -50,7 +50,7 @@ jobs: shell: bash -l {0} strategy: matrix: - python-version: ["3.9", "3.10"] + python-version: ["3.9", "3.10", "3.11", "3.12"] steps: - id: skip_check uses: fkirc/skip-duplicate-actions@master diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 1cfd94353..f4ec0222d 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,5 +1,5 @@ exclude: "docs|node_modules|migrations|.git|.tox|examples|analysis_data_preprocess|auxiliary_tools|conda/meta.yaml|e3sm_diags/driver/utils/zwf_functions.py" -default_stages: [commit] +default_stages: [pre-commit] fail_fast: true repos: diff --git a/conda-env/ci.yml b/conda-env/ci.yml index 29a0ec6b8..54a42cbae 100644 --- a/conda-env/ci.yml +++ b/conda-env/ci.yml @@ -18,7 +18,7 @@ dependencies: - esmpy >=8.4.0 - lxml - mache >=0.15.0 - - matplotlib-base + - matplotlib-base >=3.8.2 - netcdf4 - output_viewer >=1.3.0 - numpy >=2.0.0,<3.0.0 diff --git a/conda-env/dev.yml b/conda-env/dev.yml index ec0e1ec68..a5bec13be 100644 --- a/conda-env/dev.yml +++ b/conda-env/dev.yml @@ -16,7 +16,7 @@ dependencies: - esmpy >=8.4.0 - lxml - mache >=0.15.0 - - matplotlib-base + - matplotlib-base >=3.8.2 - netcdf4 - output_viewer >=1.3.0 - numpy >=2.0.0,<3.0.0 diff --git a/pyproject.toml b/pyproject.toml index 09d466ab5..26a0803df 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,3 +1,155 @@ +[build-system] +requires = ["setuptools>=42", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "e3sm_diags" +dynamic = ["version"] +description = "E3SM Diagnostics" +authors = [ + { name = "Chengzhu (Jill) Zhang", email = "zhang40@llnl.gov" }, + { name = "Tom Vo" }, + { name = "Ryan Forsyth" }, + { name = "Chris Golaz" }, + { name = "Zeshawn Shaheen" }, +] +license = { text = "BSD 3-Clause" } +readme = "README.md" +requires-python = ">=3.9" +classifiers = [ + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Developers", + "License :: OSI Approved :: BSD 3-Clause License", + "Natural Language :: English", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", +] +dependencies = [ + "beautifulsoup4", + "cartopy >=0.17.0", + # This package is not available on PyPI. + # "cartopy_offlinedata", + "cf-units", + "dask", + "esmpy >=8.4.0", + "lxml", + "mache >=0.15.0", + "matplotlib >=3.8.2", + "netcdf4", + "output_viewer >=1.3.0", + "numpy >=2.0.0,<3.0.0", + "shapely >=2.0.0,<3.0.0", + "xarray >=2024.03.0", + "xcdat >=0.7.3,<1.0.0", + "xesmf >=0.8.7", + "xskillscore >=0.0.20", +] + +[project.optional-dependencies] +test = ["pytest", "pytest-cov"] +docs = ["sphinx", "sphinx_rtd_theme", "sphinx-multiversion"] +dev = [ + "black", + "flake8", + "flake8-isort", + "isort", + "mypy", + "pre-commit", + "types-PyYAML", +] + +[project.urls] +Documentation = "https://docs.e3sm.org/e3sm_diags/_build/html/main/index.html" +"Issue Tracker" = "https://github.com/E3SM-Project/e3sm_diags/issues" + +[project.scripts] +e3sm_diags = "e3sm_diags.e3sm_diags_driver:main" +e3sm_diags_vars = "e3sm_diags.e3sm_diags_vars:main" + +[tool.setuptools.packages.find] +include = ["e3sm_diags", "e3sm_diags.*"] + +[tool.setuptools.dynamic] +version = { attr = "e3sm_diags.__version__" } + +[tool.setuptools.data-files] +"share/e3sm_diags" = [ + "e3sm_diags/driver/acme_ne30_ocean_land_mask.nc", + "misc/e3sm_logo.png", +] + +"share/e3sm_diags/viewer" = ["e3sm_diags/viewer/index_template.html"] + +"share/e3sm_diags/zonal_mean_xy" = [ + "e3sm_diags/driver/default_diags/zonal_mean_xy*", + "e3sm_diags/driver/default_diags/legacy_diags/zonal_mean_xy*", +] +"share/e3sm_diags/zonal_mean_2d" = [ + "e3sm_diags/driver/default_diags/zonal_mean_2d_model*", + "e3sm_diags/driver/default_diags/legacy_diags/zonal_mean_2d*", +] +"share/e3sm_diags/zonal_mean_2d_stratosphere" = [ + "e3sm_diags/driver/default_diags/zonal_mean_2d_stratosphere*", +] +"share/e3sm_diags/meridional_mean_2d" = [ + "e3sm_diags/driver/default_diags/meridional_mean_2d*", +] +"share/e3sm_diags/lat_lon" = [ + "e3sm_diags/driver/default_diags/lat_lon*", + "e3sm_diags/driver/default_diags/legacy_diags/lat_lon*", +] +"share/e3sm_diags/polar" = [ + "e3sm_diags/driver/default_diags/polar*", + "e3sm_diags/driver/default_diags/legacy_diags/polar*", +] +"share/e3sm_diags/lat_lon_vector" = [ + "e3sm_diags/driver/default_diags/lat_lon_vector*", +] +"share/e3sm_diags/lat_lon_land" = [ + "e3sm_diags/driver/default_diags/lat_lon_land*", +] +"share/e3sm_diags/lat_lon_river" = [ + "e3sm_diags/driver/default_diags/lat_lon_river*", +] +"share/e3sm_diags/cosp_histogram" = [ + "e3sm_diags/driver/default_diags/cosp_histogram*", + "e3sm_diags/driver/default_diags/legacy_diags/cosp_histogram*", +] +"share/e3sm_diags/area_mean_time_series" = [ + "e3sm_diags/driver/default_diags/area_mean_time_series*", +] +"share/e3sm_diags/enso_diags" = ["e3sm_diags/driver/default_diags/enso_*"] +"share/e3sm_diags/qbo" = ["e3sm_diags/driver/default_diags/qbo*"] +"share/e3sm_diags/streamflow" = ["e3sm_diags/driver/default_diags/streamflow*"] +"share/e3sm_diags/diurnal_cycle" = [ + "e3sm_diags/driver/default_diags/diurnal_cycle_*", +] +"share/e3sm_diags/arm_diags" = ["e3sm_diags/driver/default_diags/arm_diags_*"] +"share/e3sm_diags/tc_analysis" = [ + "e3sm_diags/driver/default_diags/tc_analysis_*", +] +"share/e3sm_diags/annual_cycle_zonal_mean" = [ + "e3sm_diags/driver/default_diags/annual_cycle_zonal_mean_*", +] +"share/e3sm_diags/aerosol_aeronet" = [ + "e3sm_diags/driver/default_diags/aerosol_aeronet*cfg", + "e3sm_diags/driver/default_diags/aerosol_aeronet_data/*.txt", +] +"share/e3sm_diags/aerosol_budget" = [ + "e3sm_diags/driver/default_diags/aerosol_budget*cfg", +] +"share/e3sm_diags/mp_partition" = [ + "e3sm_diags/driver/default_diags/mp_partition*cfg", +] +"share/e3sm_diags/tropical_subseasonal" = [ + "e3sm_diags/driver/default_diags/tropical_subseasonal*cfg", +] +"share/e3sm_diags/colormaps" = ["e3sm_diags/plot/colormaps/*.rgb"] +"share/e3sm_diags/control_runs" = ["e3sm_diags/driver/control_runs/*"] + [tool.black] # Docs: https://black.readthedocs.io/en/stable/usage_and_configuration/the_basics.html line-length = 88 @@ -20,7 +172,7 @@ exclude = ''' | config | conda | analysis_data_preprocess - )/ +)/ ''' [tool.isort] diff --git a/setup.py b/setup.py deleted file mode 100644 index bbd683fd5..000000000 --- a/setup.py +++ /dev/null @@ -1,174 +0,0 @@ -import glob -import os - -from setuptools import find_packages, setup - - -def get_all_files_in_dir(directory, pattern): - return glob.glob(os.path.join(directory, pattern)) - - -zonal_mean_xy_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "zonal_mean_xy*" -) -zonal_mean_xy_files += get_all_files_in_dir( - "e3sm_diags/driver/default_diags/legacy_diags", "zonal_mean_xy*" -) - -zonal_mean_2d_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "zonal_mean_2d_model*" -) -zonal_mean_2d_files += get_all_files_in_dir( - "e3sm_diags/driver/default_diags/legacy_diags", "zonal_mean_2d*" -) -zonal_mean_2d_stratosphere_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "zonal_mean_2d_stratosphere*" -) - -meridional_mean_2d_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "meridional_mean_2d*" -) - -lat_lon_files = get_all_files_in_dir("e3sm_diags/driver/default_diags", "lat_lon*") -lat_lon_files += get_all_files_in_dir( - "e3sm_diags/driver/default_diags/legacy_diags", "lat_lon*" -) - -lat_lon_vector_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "lat_lon_vector*" -) - -lat_lon_land_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "lat_lon_land*" -) -lat_lon_river_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "lat_lon_river*" -) - -polar_files = get_all_files_in_dir("e3sm_diags/driver/default_diags", "polar*") -polar_files += get_all_files_in_dir( - "e3sm_diags/driver/default_diags/legacy_diags", "polar*" -) - -cosp_histogram_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "cosp_histogram*" -) -cosp_histogram_files += get_all_files_in_dir( - "e3sm_diags/driver/default_diags/legacy_diags", "cosp_histogram*" -) - -area_mean_time_series = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "area_mean_time_series*" -) -qbo = get_all_files_in_dir("e3sm_diags/driver/default_diags", "qbo*") -streamflow = get_all_files_in_dir("e3sm_diags/driver/default_diags", "streamflow*") -enso_diags_files = get_all_files_in_dir("e3sm_diags/driver/default_diags", "enso_*") -diurnal_cycle_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "diurnal_cycle_*" -) -arm_diags_files = get_all_files_in_dir("e3sm_diags/driver/default_diags", "arm_diags_*") -tc_analysis_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "tc_analysis_*" -) -annual_cycle_zonal_mean_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "annual_cycle_zonal_mean_*" -) -aerosol_aeronet_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "aerosol_aeronet*cfg" -) -aerosol_aeronet_files += get_all_files_in_dir( - "e3sm_diags/driver/default_diags/aerosol_aeronet_data", "*.txt" -) -aerosol_budget_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "aerosol_budget*cfg" -) -mp_partition_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "mp_partition*cfg" -) -tropical_subseasonal_files = get_all_files_in_dir( - "e3sm_diags/driver/default_diags", "tropical_subseasonal*cfg" -) - -rgb_files = get_all_files_in_dir("e3sm_diags/plot/colormaps", "*.rgb") -control_runs_files = get_all_files_in_dir("e3sm_diags/driver/control_runs", "*") - -INSTALL_PATH = "share/e3sm_diags/" - -data_files = [ - (os.path.join(INSTALL_PATH, "zonal_mean_xy"), zonal_mean_xy_files), - (os.path.join(INSTALL_PATH, "zonal_mean_2d"), zonal_mean_2d_files), - ( - os.path.join(INSTALL_PATH, "zonal_mean_2d_stratosphere"), - zonal_mean_2d_stratosphere_files, - ), - ( - os.path.join(INSTALL_PATH, "meridional_mean_2d"), - meridional_mean_2d_files, - ), - (os.path.join(INSTALL_PATH, "lat_lon"), lat_lon_files), - (os.path.join(INSTALL_PATH, "polar"), polar_files), - (os.path.join(INSTALL_PATH, "lat_lon_vector"), lat_lon_vector_files), - (os.path.join(INSTALL_PATH, "lat_lon_land"), lat_lon_land_files), - (os.path.join(INSTALL_PATH, "lat_lon_river"), lat_lon_river_files), - (os.path.join(INSTALL_PATH, "cosp_histogram"), cosp_histogram_files), - ( - os.path.join(INSTALL_PATH, "area_mean_time_series"), - area_mean_time_series, - ), - (os.path.join(INSTALL_PATH, "enso_diags"), enso_diags_files), - (os.path.join(INSTALL_PATH, "qbo"), qbo), - (os.path.join(INSTALL_PATH, "streamflow"), streamflow), - (os.path.join(INSTALL_PATH, "diurnal_cycle"), diurnal_cycle_files), - (os.path.join(INSTALL_PATH, "arm_diags"), arm_diags_files), - (os.path.join(INSTALL_PATH, "tc_analysis"), tc_analysis_files), - ( - os.path.join(INSTALL_PATH, "annual_cycle_zonal_mean"), - annual_cycle_zonal_mean_files, - ), - ( - INSTALL_PATH, - [ - "e3sm_diags/driver/acme_ne30_ocean_land_mask.nc", - "misc/e3sm_logo.png", - ], - ), - (os.path.join(INSTALL_PATH, "aerosol_aeronet"), aerosol_aeronet_files), - (os.path.join(INSTALL_PATH, "aerosol_budget"), aerosol_budget_files), - (os.path.join(INSTALL_PATH, "mp_partition"), mp_partition_files), - (os.path.join(INSTALL_PATH, "tropical_subseasonal"), tropical_subseasonal_files), - (os.path.join(INSTALL_PATH, "colormaps"), rgb_files), - (os.path.join(INSTALL_PATH, "control_runs"), control_runs_files), - ( - os.path.join(INSTALL_PATH, "viewer"), - ["e3sm_diags/viewer/index_template.html"], - ), -] - -setup( - python_requires=">=3.9", - classifiers=[ - "Development Status :: 5 - Production/Stable", - "Intended Audience :: Developers", - "License :: OSI Approved :: BSD 3-Clause License", - "Natural Language :: English", - "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.9", - "Programming Language :: Python :: 3.10", - ], - name="e3sm_diags", - version="2.12.0", - author="Chengzhu (Jill) Zhang, Tom Vo, Ryan Forsyth, Chris Golaz and Zeshawn Shaheen", - author_email="zhang40@llnl.gov", - description="E3SM Diagnostics", - license="BSD 3-Clause", - scripts=["e3sm_diags/e3sm_diags_driver.py"], - packages=find_packages(include=["e3sm_diags", "e3sm_diags.*"]), - data_files=data_files, - test_suite="tests", - entry_points={ - "console_scripts": [ - "e3sm_diags=e3sm_diags.e3sm_diags_driver:main", - "e3sm_diags_vars=e3sm_diags.e3sm_diags_vars:main", - ] - }, -) diff --git a/tbump.toml b/tbump.toml index 095774281..680e4ac2a 100644 --- a/tbump.toml +++ b/tbump.toml @@ -22,9 +22,6 @@ tag_template = "v{new_version}" # For each file to patch, add a [[file]] config # section containing the path of the file, relative to the # tbump.toml location. -[[file]] -src = "setup.py" - [[file]] src = "e3sm_diags/__init__.py" From d0b01eb242e539c1f5adb3f8e898a5343aad29b0 Mon Sep 17 00:00:00 2001 From: tomvothecoder Date: Wed, 20 Nov 2024 12:34:53 -0800 Subject: [PATCH 41/41] Add `complete_run_script.py` --- tests/complete_run_script.py | 202 +++++++++++++++++++++++++++++++++++ 1 file changed, 202 insertions(+) create mode 100644 tests/complete_run_script.py diff --git a/tests/complete_run_script.py b/tests/complete_run_script.py new file mode 100644 index 000000000..49592a020 --- /dev/null +++ b/tests/complete_run_script.py @@ -0,0 +1,202 @@ +""" +This script sets up and runs a series of diagnostics for the E3SM model output. + +The diagnostics include: +- ENSO diagnostics +- Tropical subseasonal variability diagnostics +- QBO diagnostics +- Diurnal cycle diagnostics +- Streamflow diagnostics +- Tropical cyclone analysis +- ARM diagnostics + +The script configures the parameters for each diagnostic, including paths to +model output and observational data, time periods for analysis, and output +settings. It then runs the diagnostics using the e3sm_diags package. + +Parameters: +- case: The name of the model case. +- short_name: A short name for the model case. +- results_dir: Directory where the results will be saved. +- test_climo: Path to the model climatology data. +- test_ts: Path to the model time-series data. +- test_ts_daily_dir: Path to the model daily time-series data. +- ref_climo: Path to the reference climatology data. +- ref_ts: Path to the reference time-series data. +- start_yr: Start year for the analysis. +- end_yr: End year for the analysis. + +The script uses multiprocessing to speed up the diagnostics computation. + +Example usage: + python complete_run_script.py +""" + +from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter +from e3sm_diags.parameter.core_parameter import CoreParameter +from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter +from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter +from e3sm_diags.parameter.qbo_parameter import QboParameter +from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter +from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter +from e3sm_diags.parameter.tropical_subseasonal_parameter import ( + TropicalSubseasonalParameter, +) +from e3sm_diags.run import runner + +case = "extendedOutput.v3.LR.historical_0101" +short_name = "v3.LR.historical_0101" +results_dir = "/global/cfs/cdirs/e3sm/www/chengzhu/tutorial2024/e3sm_diags_extended_int" + +test_climo = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/clim/15yr" +test_ts = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/ts/monthly/15yr" +test_ts_daily_dir = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/ts/daily/15yr" + +ref_climo = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/" +ref_ts = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/time-series" + +start_yr = "2000" +end_yr = "2014" + +param = CoreParameter() + +# Model +param.test_data_path = test_climo +param.test_name = case +param.short_test_name = short_name + +# Ref/Obs +param.reference_data_path = ref_climo + +# Output dir +param.results_dir = results_dir + +# Additional settings +param.run_type = "model_vs_obs" +param.diff_title = "Model - Observations" +param.output_format = ["png"] +param.output_format_subplot = [] +param.multiprocessing = True +param.num_workers = 24 +param.seasons = ["ANN"] +params = [param] + +# Model +enso_param = EnsoDiagsParameter() +enso_param.test_data_path = test_ts +# enso_param.test_name = short_name +enso_param.test_start_yr = start_yr +enso_param.test_end_yr = end_yr + +# Obs +enso_param.reference_data_path = ref_ts +enso_param.ref_start_yr = start_yr +enso_param.ref_end_yr = end_yr + +params.append(enso_param) + +trop_param = TropicalSubseasonalParameter() +trop_param.test_data_path = test_ts_daily_dir +# trop_param.test_name = short_name +trop_param.test_start_yr = start_yr +trop_param.test_end_yr = end_yr + +# Obs +trop_param.reference_data_path = ref_ts +trop_param.ref_start_yr = "2001" +trop_param.ref_end_yr = "2010" + +params.append(trop_param) +qbo_param = QboParameter() +qbo_param.test_data_path = test_ts +# qbo_param.test_name = short_name +qbo_param.test_start_yr = start_yr +qbo_param.test_end_yr = end_yr +qbo_param.ref_start_yr = start_yr +qbo_param.ref_end_yr = end_yr + +# Obs +qbo_param.reference_data_path = ref_ts + +params.append(qbo_param) +dc_param = DiurnalCycleParameter() +dc_param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/clim_diurnal_8xdaily/" +# dc_param.short_test_name = short_name +# Plotting diurnal cycle amplitude on different scales. Default is True +dc_param.normalize_test_amp = False + +# Obs +dc_param.reference_data_path = ref_climo + +params.append(dc_param) +streamflow_param = StreamflowParameter() +streamflow_param.reference_data_path = ref_ts +streamflow_param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/rof/native/ts/monthly/15yr/" +# streamflow_param.test_name = short_name +streamflow_param.test_start_yr = start_yr +streamflow_param.test_end_yr = end_yr + +# Obs +streamflow_param.reference_data_path = ref_ts +streamflow_param.ref_start_yr = ( + "1986" # Streamflow gauge station data range from year 1986 to 1995 +) +streamflow_param.ref_end_yr = "1995" + +params.append(streamflow_param) +tc_param = TCAnalysisParameter() +tc_param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/tc-analysis_2000_2014" +# tc_param.short_test_name = short_name +tc_param.test_start_yr = start_yr +tc_param.test_end_yr = end_yr + +# Obs +tc_param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/tc-analysis/" +) +# For model vs obs, the ref start and end year can be any four digit strings +# For now, use all available years from obs by default +tc_param.ref_start_yr = "1979" +tc_param.ref_end_yr = "2018" + +params.append(tc_param) + +arm_param = ARMDiagsParameter() +arm_param.reference_data_path = ( + "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/arm-diags-data" +) +arm_param.ref_name = "armdiags" +arm_param.test_data_path = ( + "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/site" +) +arm_param.test_name = short_name +arm_param.test_start_yr = start_yr +arm_param.test_end_yr = end_yr +# For model vs obs, the ref start and end year can be any four digit strings. +# For now, will use all available years form obs +arm_param.ref_start_yr = "0001" +arm_param.ref_end_yr = "0001" + +params.append(arm_param) + +# Run +runner.sets_to_run = [ + "lat_lon", + "zonal_mean_xy", + "zonal_mean_2d", + "polar", + "cosp_histogram", + "meridional_mean_2d", + "enso_diags", + "qbo", + "diurnal_cycle", + "annual_cycle_zonal_mean", + "streamflow", + "zonal_mean_2d_stratosphere", + "arm_diags", + "tc_analysis", + "aerosol_aeronet", + "aerosol_budget", + "tropical_subseasonal", +] +runner.run_diags(params)