serbinsh
commented
4 years ago Required datasets:
CTSM, and FATES param files (small enough to auto-download)
lnd_in fsnowaging = '/data//lnd/clm2/snicardata/snicar_drdt_bst_fit_60_c070416.nc' fsnowoptics = '/data//lnd/clm2/snicardata/snicar_optics_5bnd_c090915.nc' stream_fldfilename_urbantv = '/data//lnd/clm2/urbandata/CLM50_tbuildmax_Oleson_2016_0.9x1.25_simyr1849-2106_c160923.nc'
the big one datm.streams.txt.presaero.clim_2000 aerosoldep_WACCM.ensmean_monthly_hist_1849-2015_0.9x1.25_CMIP6_c180926.nc 6.21 GBs
datm.streams.txt.topo.observed topodata_0.9x1.25_USGS_070110_stream_c151201.nc
during run i forgot that it lists these files which is probably the most complete place to look Finished creating component namelists Checking that inputdata is available as part of case submission Loading input file list: 'Buildconf/cpl.input_data_list' Loading input file list: 'Buildconf/datm.input_data_list' Loading input file list: 'Buildconf/mosart.input_data_list' Loading input file list: 'Buildconf/clm.input_data_list' Model clm no file specified for finidat
glemieux
Plan: build off of my older example using local met - https://github.com/serbinsh/ctsm_containers/wiki/Example-CTSM-FATES-(CLM5-FATES)-run:-PA-SLZ-using-NGEE-Tropics-driver-files - but instead provide default GSWP3 drivers extracted for the SLZ site together with single-point (i.e. 1 pixel) surface and other forcing files as a packaged product that can be easily downloaded for end-user experimentation.
Step 1: Using existing example script and container file (docker pull serbinsh/ctsm_containers:ctsm-fates_next_api-fates_sci.1.23.0_api.7.1.0) generate a new build script that uses pre-extracted default single-point forcing files with full-res surf/domain/ndep etc files to identify full set of required inputs. Use a lower resolution grid to start with the I2000Clm50FatesGs compset
Step 2: Update existing python script for extract single-point drivers and surf/domain files to work with all other ancillary inputs. Generate a new cesm input datas folder containing all required inputs, but with 1 pixel
Step 3: Modify example script to run at SLZ using full set of single-point inputs. Test
Step 4: Package draft input datasets as a tar.gz. Upload to OSF. Test pulling down and running locally on different machines using Docker and singularity. Write up example notes
Step 5: Other user beta test of script, container, and driver data
Step 6: Update to run with NGEE versions of HLM-FATES containers
Step 7: Add full example to wiki page.