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In the “Notes” section, mention if a job failed or if you changed anything before re-running a job.
Global time series
Load the E3SM unified environment. For LCRC machines, this is: source /lcrc/soft/climate/e3sm-unified/load_latest_e3sm_unified.sh. Commands for other machines can be found at Run the following commands:
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cd <post_processing_script_dir>/zppy/global_time_series
# Edit the variables at the top of `generate_global_time_series_plots.sh`
# See below for an explanation of the variables
./generate_global_time_series_plots.sh |
Explanation of variables:
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# For unified environment paths, see https://e3sm-project.github.io/e3sm_diags/docs/html/quickguides/quick-guide-general.html |
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Then run the following commands:
NOTE: the scripts global_time_series_plots/ocean_month.py and global_time_series_plots/coupled_global.py will be made available soon.
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# Create xml files for atm cd <simulations_dir>/<case_name>/post/atm/glb/ts/monthly/10yr cdscan -x glb.xml *.nc # produces a file named `glb.xml` # Create ocean time series unified_script=<the path to the unified environment script. Do NOT include `source`> e3sm_simulations_dir=<simulations_dir> case_dir=${e3sm_simulations_dir}/<case_name> # For web directory paths, mkdir -p <simulations_dir>/<case_name>/post/ocn/glb/ts/monthly/10yr # Create subdirectories cd <path>/global_time_series_plots # Change `path_in` and `path_out` in ocean_month.py. python ocean_month.py # Create xml for for ocnsee https://e3sm-project.github.io/e3sm_diags/docs/html/quickguides/quick-guide-general.html web_dir=<html_path>/E3SM/v2/beta/<case_name> zppy_dir=<post_processing_script_dir>/zppy/ # Names cd <simulations_dir>/<case_name>/post/ocn/glb/ts/monthly/10yr cdscan -x glb.xml *.nc # produces a file named `glb.xml` # Copy moc file cd <simulations_dir>/<case_name>/post/analysis/mpas_analysis/cache/timeseries/moc cp mocTimeSeries_0001-0050.nc ../../../../../ocn/glb/ts/monthly/10yr/ # Update time series figures cd <path>/global_time_series_plotsmoc_file=<e.g., mocTimeSeries_0001-0100.nc> experiment_name=<e.g., 20210122.v2_test01.piControl.chrysalis> figstr=<e.g., coupled_v2_test01> # Years start_yr=<first year to # Add a dictionary of relevant file paths to `exps` in `coupled_global.py` python coupled_global.py |
That will produce coupled_v2_test02.pdf and coupled_v2_test02.png.
Two options to obtain the image on your computer.
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process>
end_yr=<last year to process> |
That will produce <figstr>.pdf and <figstr>.png. The latter will be available automatically at <web_address>/E3SM/v2/beta/<case_name>/
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<figstr>.png, where <web_address> can be found on https://
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e3sm-project.github.io/e3sm_diags/docs/html/quickguides/quick-guide-general.html. You can download the image from the website and then upload it to your Confluence page.
You can also scp the image directly to your computer. For Chrysalis, you’d run the following command
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on your computer: scp <username>@chrysalis.lcrc.anl.gov:
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<zppy_dir>/global_time_series
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Once you have the image on your computer you can download it to your page/<figstr>.png .
E3SM Diags
The template page already includes baseline diagnostics. Add your own diagnostics links labeled as <start_year>-<end_year>.
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