v1.3.2

• Python 2 and 3 support.

v1.3.1

• CDAT 8 support.
• Use conservative regridding by default.
• Expanded provenance:
  • Dump of which dependencies are used, stored in results_dir/env_prov.txt.
  • All parameters work via the command line.
  • --no_viewer parameter to not create the viewer.

v1.3.0

• Stronger support for model vs model run with a new parameter run_type
• Cleaner code directory with all default configuration files converted to .cfg
• Add AOD550, surface wind stress and surface air temperature as default variables
• Several bug fixes

v1.2.1

• The provenance works better. The command should only create one plot.
• Running with the mpl backend on a headless machine should work.

v1.2.0

• Added Taylor Diagrams for spatial variability for annual and seasonal means.
• Added provenance: a single run can be recreated with a single command.
• A dependency, cdp, was updated to support the provenance feature.
  • If using a development environment, explained here, create a new environment by following the instructions again.
  • If using a regular environment, just run conda update acme_diags to get v1.2.0 of acme_diags.

v1.1.1

• Implemented a workaround for multiprocess running with VCS as the backend

v1.1.0

• Added table to summarize metrics for each season, as part of the lat-lon diagnostics set
• Added new variables from observational and reanalysis datasets, including:
  • NetCF (CERES-EBAF TOA, surface)
  • SHFLX, netSW surface, netLW surface, net flux sfc (ERA-Interim)
  • LHFLX, SHFLX, netSW surface, netLW surface, net flux sfc (MERRA)
  • Sea level pressure
• Improved subtitles for lat-lon maps to reflect the years the climatology was averaged over
• Added a "short_test_name" parameter for user-defined model names

v1.0.1

• When a variable isn't present or there's an error in the code for a given diagnostics run, that run is skipped and the other diagnostics runs are ran.
• Expanded on the zonal mean line plots, latitude-longitude contour maps, and polar contour maps default diagnostics.
• Added system tests in tests/all_sets.cfg, use acme_diags_driver.py -d all_sets.cfg to generate one of each plot type in under 1 minute to test that an environment is working correctly.

v1.0.0 Documentation

• View the documentation for acme_diags v1.0.0 here.

v1.0.0

• Support for diagnostics based on seasonal or annual climatology data, including:
  • Latitude-Longitude contour maps (AMWG set 5)
  • Polar contour maps (AMWG set 7)
  • Zonal mean line plots (AMWG set 3)
  • Pressure-Latitude zonal mean contour plots (AMWG set 4)
  • CloudTopHeight-Tau joint histograms (AMWG set 13).
• Diagnostics for model vs obs, obs vs obs, and model vs model.
• Updated observational datasets available on LLNL ACME1/AIMS4 and NERSC.
• Two graphical backends: VCS and Matplotlib with cartopy.
• User–addable diagnostics during runtime.
• Diagnostics can be run in serial, or in parallel with multiprocessing or distributedly.
• Documentation including quick start guides for LLNL ACME1/AIMS4 and NERSC, detailed user’s guide, and examples.