GitHub - NOAA-PSL/neuralgcm_enkf_psonly: cycling neuralgcm with real surface pressure obs

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cycling neuralgcm with real surface pressure obs

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
README		README
checkdate.py		checkdate.py
clean.sh		clean.sh
compute_ensmean_fcst.sh		compute_ensmean_fcst.sh
config.sh		config.sh
config.sh.plev		config.sh.plev
config.sh.sigma		config.sh.sigma
enkf_run.sh		enkf_run.sh
getz500.py		getz500.py
getz500.sh		getz500.sh
getz500_plev.py		getz500_plev.py
getz500_plev.sh		getz500_plev.sh
global_anavinfo_neuralgcm.txt		global_anavinfo_neuralgcm.txt
global_anavinfo_neuralgcm2.txt		global_anavinfo_neuralgcm2.txt
hercules_preamble		hercules_preamble
hpss.sh		hpss.sh
incdate.sh		incdate.sh
main.sh		main.sh
main.sh.plev		main.sh.plev
main.sh.sigma		main.sh.sigma
run_neuralgcm.sh		run_neuralgcm.sh
run_neuralgcm_plevs.py		run_neuralgcm_plevs.py
run_neuralgcm_sigma.py		run_neuralgcm_sigma.py
runenkf.sh		runenkf.sh
runmpi		runmpi
submit_job.sh		submit_job.sh

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Differences with UFS workflow:
1) script for running model (run_neuralgcm.sh) replaces run_fv3.sh
2) run_neuralgcm.py runs neuralgcm, writes GFS-lookalike history files and initializes from same history files.
3) getz500.sh (getz500_plev.sh) computes z500 errors relative to ERA5 on 1 deg grid.

For native-model level (sigma) version, use config.sh.sigma and main.sh.sigma (copy to config.sh, main.sh)
For pressure level version (using model encoder/decoder) use config.sh.plev and main.sh.plev (and getz500_plev.sh for computing
z500 errors).

copy executables from /work2/noaa/gsienkf/whitaker/neuralgcm_enkf_psonly_sigma/exec_hercules into local exec_hercules directory.
initial conditions (for sigma levs) available in /work2/noaa/gsienkf/whitaker/neuralgcm_enkf_psonly_sigma/2021083000
initial conditions (for plevs) available in /work2/noaa/gsienkf/whitaker/neuralgcm_enkf_psonly_plev/2021083000