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[Feature]: Adapt CDAT Migration regression testing scripts for general purpose use #903
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@tomvothecoder thank you for working on this. I'm considering to have both image checker and the new regression tests based on nc files and json. For cases that .nc files are generated correctly, but images are not. We can talk about more on Monday. P.S. congratulations on the big merge and a brand new code base! |
Since this regression testing will be run on HPC and not GH Actions, we won't need to containerize the data or make the image checker an optional test. |
@chengzhuzhang Once this is merged, should we do a full run with v3 data on latest |
Absolutely. When releasing v2.12.1, I only did metrics and image checking because the netcdf files were not saved in the full run. We should save the nc files this time.. |
@chengzhuzhang Actually we do need to run the Can you provide the specific path to where I should save the results for persistence? EDIT: I made this dir to store results: |
This is good! Thank you. |
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Hey @chengzhuzhang I want to perform a regression test with v3 data using However, I keep getting Commandsmamba create -n e3sm_diags_2.12.1 -c conda-forge e3sm_diags=2.12.1
mamba activate e3sm_diags_2.12.1
python auxiliary_tools/complete_run_script.py Script"""
This script sets up and runs a series of diagnostics for the E3SM model output.
The diagnostics include:
- ENSO diagnostics
- Tropical subseasonal variability diagnostics
- QBO diagnostics
- Diurnal cycle diagnostics
- Streamflow diagnostics
- Tropical cyclone analysis
- ARM diagnostics
The script configures the parameters for each diagnostic, including paths to
model output and observational data, time periods for analysis, and output
settings. It then runs the diagnostics using the e3sm_diags package.
Parameters:
- case: The name of the model case.
- short_name: A short name for the model case.
- results_dir: Directory where the results will be saved.
- test_climo: Path to the model climatology data.
- test_ts: Path to the model time-series data.
- test_ts_daily_dir: Path to the model daily time-series data.
- ref_climo: Path to the reference climatology data.
- ref_ts: Path to the reference time-series data.
- start_yr: Start year for the analysis.
- end_yr: End year for the analysis.
The script uses multiprocessing to speed up the diagnostics computation.
Example usage:
python complete_run_script.py
"""
from e3sm_diags.parameter.arm_diags_parameter import ARMDiagsParameter
from e3sm_diags.parameter.core_parameter import CoreParameter
from e3sm_diags.parameter.diurnal_cycle_parameter import DiurnalCycleParameter
from e3sm_diags.parameter.enso_diags_parameter import EnsoDiagsParameter
from e3sm_diags.parameter.qbo_parameter import QboParameter
from e3sm_diags.parameter.streamflow_parameter import StreamflowParameter
from e3sm_diags.parameter.tc_analysis_parameter import TCAnalysisParameter
from e3sm_diags.parameter.tropical_subseasonal_parameter import (
TropicalSubseasonalParameter,
)
from e3sm_diags.run import runner
case = "extendedOutput.v3.LR.historical_0101"
short_name = "v3.LR.historical_0101"
# TODO: Update `RESULTS_DIRNAME` as needed.
RESULTS_DIRNAME = "v2.12.1v2"
results_dir = f"/global/cfs/cdirs/e3sm/www/e3sm_diags/{RESULTS_DIRNAME}/"
test_climo = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/clim/15yr"
test_ts = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/ts/monthly/15yr"
test_ts_daily_dir = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/ts/daily/15yr"
ref_climo = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/climatology/"
ref_ts = "/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/time-series"
start_yr = "2000"
end_yr = "2014"
param = CoreParameter()
# Model
param.test_data_path = test_climo
param.test_name = case
param.short_test_name = short_name
# Ref/Obs
param.reference_data_path = ref_climo
# Output dir
param.results_dir = results_dir
# Additional settings
param.run_type = "model_vs_obs"
param.diff_title = "Model - Observations"
param.output_format = ["png"]
param.output_format_subplot = []
param.multiprocessing = True
param.num_workers = 24
param.save_netcdf = True
param.seasons = ["ANN"]
params = [param]
# Model
enso_param = EnsoDiagsParameter()
enso_param.test_data_path = test_ts
# enso_param.test_name = short_name
enso_param.test_start_yr = start_yr
enso_param.test_end_yr = end_yr
# Obs
enso_param.reference_data_path = ref_ts
enso_param.ref_start_yr = start_yr
enso_param.ref_end_yr = end_yr
enso_param.save_netcdf = True
params.append(enso_param)
trop_param = TropicalSubseasonalParameter()
trop_param.test_data_path = test_ts_daily_dir
# trop_param.test_name = short_name
trop_param.test_start_yr = start_yr
trop_param.test_end_yr = end_yr
# Obs
trop_param.reference_data_path = ref_ts
trop_param.ref_start_yr = "2001"
trop_param.ref_end_yr = "2010"
trop_param.save_netcdf = True
params.append(trop_param)
qbo_param = QboParameter()
qbo_param.test_data_path = test_ts
# qbo_param.test_name = short_name
qbo_param.test_start_yr = start_yr
qbo_param.test_end_yr = end_yr
qbo_param.ref_start_yr = start_yr
qbo_param.ref_end_yr = end_yr
# Obs
qbo_param.reference_data_path = ref_ts
qbo_param.save_netcdf = True
params.append(qbo_param)
dc_param = DiurnalCycleParameter()
dc_param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/180x360_aave/clim_diurnal_8xdaily/"
# dc_param.short_test_name = short_name
# Plotting diurnal cycle amplitude on different scales. Default is True
dc_param.normalize_test_amp = False
# Obs
dc_param.reference_data_path = ref_climo
dc_param.save_netcdf = True
params.append(dc_param)
streamflow_param = StreamflowParameter()
streamflow_param.reference_data_path = ref_ts
streamflow_param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/rof/native/ts/monthly/15yr/"
# streamflow_param.test_name = short_name
streamflow_param.test_start_yr = start_yr
streamflow_param.test_end_yr = end_yr
# Obs
streamflow_param.reference_data_path = ref_ts
streamflow_param.ref_start_yr = (
"1986" # Streamflow gauge station data range from year 1986 to 1995
)
streamflow_param.ref_end_yr = "1995"
streamflow_param.save_netcdf = True
params.append(streamflow_param)
tc_param = TCAnalysisParameter()
tc_param.test_data_path = "/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/tc-analysis_2000_2014"
# tc_param.short_test_name = short_name
tc_param.test_start_yr = start_yr
tc_param.test_end_yr = end_yr
# Obs
tc_param.reference_data_path = (
"/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/tc-analysis/"
)
# For model vs obs, the ref start and end year can be any four digit strings
# For now, use all available years from obs by default
tc_param.ref_start_yr = "1979"
tc_param.ref_end_yr = "2018"
tc_param.save_netcdf = True
params.append(tc_param)
arm_param = ARMDiagsParameter()
arm_param.reference_data_path = (
"/global/cfs/cdirs/e3sm/diagnostics/observations/Atm/arm-diags-data"
)
arm_param.ref_name = "armdiags"
arm_param.test_data_path = (
"/global/cfs/cdirs/e3sm/chengzhu/tutorial2024/v3.LR.historical_0101/post/atm/site"
)
arm_param.test_name = short_name
arm_param.test_start_yr = start_yr
arm_param.test_end_yr = end_yr
# For model vs obs, the ref start and end year can be any four digit strings.
# For now, will use all available years form obs
arm_param.ref_start_yr = "0001"
arm_param.ref_end_yr = "0001"
arm_param.save_netcdf = True
params.append(arm_param)
# Run
runner.sets_to_run = [
"lat_lon",
"zonal_mean_xy",
"zonal_mean_2d",
"polar",
"cosp_histogram",
"meridional_mean_2d",
"enso_diags",
"qbo",
"diurnal_cycle",
"annual_cycle_zonal_mean",
"streamflow",
"zonal_mean_2d_stratosphere",
"arm_diags",
"tc_analysis",
"aerosol_aeronet",
"aerosol_budget",
"tropical_subseasonal",
]
runner.run_diags(params) Partial Traceback2024-12-10 16:29:58,256 [ERROR]: run.py(run_diags:91) >> Error traceback:
Traceback (most recent call last):
File "/global/homes/v/vo13/mambaforge/envs/e3sm_diags_2.12.1/lib/python3.10/site-packages/e3sm_diags/run.py", line 89, in run_diags
params_results = main(params)
File "/global/homes/v/vo13/mambaforge/envs/e3sm_diags_2.12.1/lib/python3.10/site-packages/e3sm_diags/e3sm_diags_driver.py", line 371, in main
parameters_results = _run_with_dask(parameters)
File "/global/homes/v/vo13/mambaforge/envs/e3sm_diags_2.12.1/lib/python3.10/site-packages/e3sm_diags/e3sm_diags_driver.py", line 316, in _run_with_dask
results = bag.map(CoreParameter._run_diag).compute(num_workers=num_workers)
File "/global/homes/v/vo13/mambaforge/envs/e3sm_diags_2.12.1/lib/python3.10/site-packages/dask/base.py", line 372, in compute
(result,) = compute(self, traverse=False, **kwargs)
File "/global/homes/v/vo13/mambaforge/envs/e3sm_diags_2.12.1/lib/python3.10/site-packages/dask/base.py", line 660, in compute
results = schedule(dsk, keys, **kwargs)
File "/global/homes/v/vo13/mambaforge/envs/e3sm_diags_2.12.1/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
raise self._exception
concurrent.futures.process.BrokenProcessPool: A process in the process pool was terminated abruptly while the future was running or pending.
2024-12-10 16:29:58,267 [INFO]: logger.py(move_log_to_prov_dir:106) >> Log file saved in /global/cfs/cdirs/e3sm/www/e3sm_diags/v2.12.1v2//prov/e3sm_diags_run.log |
This is coming back haunting us... I haven't been seen this problem for a while though. |
In #720, it turned out that the import order was fragile. I don't think we really ever figured out why but it may be something in esmpy that's not implemented like it should be. In working with the ESMF developers, I get the sense that python experience is lacking there. How is esmpy still used in e3sm_diags now that cdat has been removed? Through xcdat? |
@chengzhuzhang Can you try to reproduce it on your end with the commands in my comment above? I wonder if I'm doing something incorrect, although I'm confident I'm not.
@xylar The latest This reminds me to remove |
Okay, let me try reproduce, following these steps. @tomvothecoder are you running on login node? |
@tomvothecoder I suspect that the |
- Add `clean-test-integration` command to `Makefile` and delete `clean_tests_repo.sh` - Move params for `complete_run.py` to `complete_run_params.py` for re-use in `test_complete_run.py` - Rename `tests/integration/complete_run.py` to `old_complete_run.py`
@tomvothecoder the run just completed here: /global/cfs/cdirs/e3sm/www/chengzhu/e3sm_diags/v2.12.1v2/ |
Yes, I am running on the login node. As you suggest, maybe the CDAT codebase is constrained by the 54 GB memory limit. The good news is that the script runs fine with the Xarray/xCDAT codebase, which suggests the new backend is more memory efficient.
Thank you! I will copy the results over. |
Nice to know! |
Here is the regression notebook that compares latest
For the 85/590 are not equal to ['/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/COREv2_Flux/COREv2_Flux-PminusE-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/CRU_IPCC/CRU-TREFHT-ANN-land_60S90N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_9.4_MISR-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/Cloud MISR/MISRCOSP-CLDTOT_TAU1.3_MISR-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-NET_FLUX_SRF-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-OMEGA-200-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-OMEGA-500-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-OMEGA-850-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-TREFHT-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-TREFHT-ANN-land_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/ERA5/ERA5-U-850-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/GPCP_OAFLux/GPCP_OAFLux-PminusE-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-NET_FLUX_SRF-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-OMEGA-200-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-OMEGA-500-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-OMEGA-850-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFHT-ANN-land_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/SST_HadISST/HadISST-SST-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/lat_lon/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/meridional_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/CRU_IPCC/CRU-TREFHT-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/ERA5/ERA5-TREFHT-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/ERA5/ERA5-TREFHT-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/ERA5/ERA5-U-850-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/ERA5/ERA5-U-850-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFHT-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMNAV-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/MERRA2/MERRA2-TREFMXAV-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/SST_CL_HadISST/HadISST_CL-SST-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/SST_PD_HadISST/HadISST_PD-SST-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_N_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/polar/SST_PI_HadISST/HadISST_PI-SST-ANN-polar_S_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_2d/ERA5/ERA5-OMEGA-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_2d/MERRA2/MERRA2-OMEGA-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_2d_stratosphere/ERA5/ERA5-H2OLNZ-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_2d_stratosphere/ERA5/ERA5-H2OLNZ-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-H2OLNZ-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_2d_stratosphere/MERRA2/MERRA2-H2OLNZ-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/ERA5/ERA5-TREFHT-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/MERRA2/MERRA2-TREFHT-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/MERRA2/MERRA2-TREFMNAV-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_ref.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/MERRA2/MERRA2-TREFMXAV-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/SST_CL_HadISST/HadISST_CL-SST-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/SST_PD_HadISST/HadISST_PD-SST-ANN-global_test.nc',
'/global/cfs/cdirs/e3sm/www/e3sm_diags/complete_run/24-12-09-main/zonal_mean_xy/SST_PI_HadISST/HadISST_PI-SST-ANN-global_test.nc'] |
Maybe NERSC policies have changed but I have got my account suspended in the past for doing heavy computing on login nodes. I'd strongly recommend interactive jobs on compte nodes. |
Description
esmpy
from dependencies #908Todos
Adapt regression testing scripts
Checklist
If applicable: