This repository holds a collection of extensions to LIVVkit for validation and custom analyses of ice sheet models and their associated Earth system models.
LEX was first described in Evans, et al., 20191
The Python dependencies are listed in requirements.txt and requirements-dev.txt but this suite depends on a set of reanalysis and observational datasets, which are part of E3SM-Diags, available on several DOE supported machines, including Perlmutter at NERSC, and Chrysalis at ANL's LCRC.
The Python package itself is described in pyproject.toml, which is used by
pip to install this package
Currently, LEX is designed to run on Perlmutter, but future work is planned to support other machines.
For setting up an environment to which lex and dependencies will be installed, conda and Python virtualenv are documented here. NB this will only currently work on NERSC's Perlmutter, the environment should be created there.
$ git clone https://github.com/LIVVkit/lex.git
$ cd lex
$ {conda, mamba} create -n lex_env python --file requirements.txt
$ {conda, mamba} activate lex_env
$ pip install -e . # Installs the lex module as an editable Python package to the lex_env environment.$ git clone https://github.com/LIVVkit/lex.git
$ cd lex python -m venv .env
$ source .env/bin/activate
$ pip install --upgrade pip # Needed if the system pip version < 21.3
$ pip install -e .This will create a virtual environment at lex/.env, and install the
LEX package as editable with all its Python requirements to run.
Not documented here, but also available for environment management
Within the lex/config directory there are templates for
ELM r05 and r025 resolutions, as well as pre-existing configurations for
several current runs.
To execute any of these analyses, point livv (LIVVkit's command line
interface) to any of these extensions via the the -V/--validate
option.
For example, to run the minimal example extension, place the output
website in the vv_test directory, and serve the output
website you'd run this command:
$ livv -V config/example/example.yml -o vv_test -sThis will create a directory in the current directory called vv_test (~7.5 MB), and spawn an HTTP server, which should only be used for testing purposes. (This works best if the output is in the current directory)
Note: All the extension configurations files assume you are working
from the top level lex directory. You can run any of these
extensions from any directory, but you will need to edit the paths in
the YAML configuration files so that livv can find the required files.
Likewise, you can also apply these analyses to any new model run2 by adjusting the paths to point to your model run.
The lex/run_livv.sh script will run all the currently
available analyses on pm-cpu for a particular case, e.g.:
$ cd $HOME/lex
$ ./run_livv.sh v2.1.r025.IGERA5ELM_MLI-deep_firn_1980_2020Will create a web output at /global/cfs/projectdirs/e3sm/www/${USER}/v2.1.r025.IGERA5ELM_MLI-deep_firn_1980_2020,
viewable at https://portal.nersc.gov/project/e3sm/${USER}/v2.1.r025.IGERA5ELM_MLI-deep_firn_1980_2020
The batch script provided will run all current cases on Perlmutter on a compute node in parallel
$ cd lex
$ sbatch run_lex_pm-cpu.sbatchncrcat -v topo,landfrac,QSNOFRZ,FSRND,FSRVD,FSDSVD,FSDSND,EFLX_LH_TOT,FIRA,FLDS,FSA,FSDS,FSH,QICE,QRUNOFF,QSNOMELT,QSOIL,RAIN,SNOW,TSA elm*h0*.nc -o ${CASE}.nc
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Edit the
lex/lex/postproc/e3sm/postproc.sbatchbatch file to mach the new runKey variables:
INDIR: Path which contains single output time series fileOUTCASE: Name of the new case which is the name of the netCDF file without extension (e.g.v2.1.r025.IGERA5ELM_MLI-deep_firn_1980_2020)RES: ELM output resolution (currently acceptsR05andR025)OUTDIR: Scratch directory into which climatology files will be written, defaults to${SCRATCH}/lex/data/e3sm/${OUTCASE}
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Run the post-processing script:
cd lex/lex/postproc/e3sm; sbatch postproc.sbatch
NB: the postproc.sbatch script will create the configuration for your case (based on OUTCASE and OUTDIR), then run LIVVkit on it with lex/run_livv.sh
See the LIVVkit documentation
for details on how to develop an extension. Briefly, a absolute minimum
working example is provided by the example/ extension, which should
be copied to provide the basis for your new extension. All extensions
are required to contain a minimal working example set of data such that
they can be run an executed on any machine.
For extensions that require data for which re-host permission cannot be granted, they must include documentation on how to acquire and use the data as well as either a small set of processed data or a set of "fake" example data.
If you would like to suggest features, request tests, discuss contributions, report bugs, ask questions, or contact us for any reason, use the LIVVkit issue tracker. LEX issue tracker.
Want to send us a private message?
Michael E. Kelleher :github: @mkstratos
Joseph H. Kennedy :github: @jhkennedy
Katherine J. Evans :github: @kevans32
Footnotes
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Evans, K.J., J.H. Kennedy, D. Lu, M.M. Forrester, S. Price, J. Fyke, A.R. Bennett, M.J. Hoffman, I. Tezaur, C.S. Zender, and M. Vizcaino (2019). LIVVkit 2.1: Automated and extensible ice sheet model validation. Geoscientific Model Development. https://gmd.copernicus.org/articles/12/1067/2019/ ↩
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This assumes the new data files conform to the format of the included data files. That is, an extension that analyses output from the CISM-Albany ice sheet model will likely be able to analyze any similar CISM-Albany simulation, but likely would not be able to analyze output from the PISM ice sheet model without "massaging" the PISM files into a CISM-Albany like structure, or adjusting the extension. This is a problem we are working on for future LEX releases. ↩
