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See the commands that produce these diagrams
Restored fields |
Non-restored fields |
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We compute comparison statistics and show them via two Taylor diagrams:
1) variables with restored fields:
2) variables with non-restored fields
1st step: The commands
that compute the statistics NetCDF files
>>> python model_vs_data_comp_stat.py -oLEV_SSS_comp_stat/LEV_SSS_comp_stat.nc -tLEV_SSS_comp_stat/LEV_SSS_comp_stat.txt /home/geocean/ocmip/data/gridded/LEV1998_monthly.nc TEMPERATURE "/home/geocean/ocmip/phase2/%(MODEL)/Abiotic/equil/%(model)_LEV_SSS.nc" SSS
>>> same: replace SSS with SST
>>> python
model_vs_data_comp_stat.py
-oTAKA_FCO2/comp_stat/TAKA_FCO2_comp_stat.nc
-tTAKA_FCO2/comp_stat/TAKA_FCO2_comp_stat.txt
/home/geocean/ocmip/data/gridded/taka2001/TAKA_fco2_2002.nc
FCO2
"/home/geocean/ocmip/phase2/%(MODEL)/Abiotic/hist/%(model)_TAKA_Ftot_1995_drift.nc"
FTOT
>>> python model_vs_data_comp_stat.py -oWOA_PO4_comp_stat/WOA_PO4_comp_stat.nc -s1000 -tWOA_PO4_comp_stat/WOA_PO4_comp_stat.txt -2 /home/geocean/ocmip/data/gridded/louanchi/po4_louanchi.nc,PO4 /home/geocean/ocmip/data/gridded/WOA2001/po4_lev.nc po4 "/home/geocean/ocmip/phase2/%(model)/Biotic/%(model)_LEV_PHOSPHATE.nc" PHOSPHATE
>>> python
model_vs_data_comp_stat.py ...
same command with appropriate parameter list specifying
model-output and data files and variables
2nd step: The commands that read the statistics files and produce the Taylor diagrams, above
The argument list for these commands simply list all the NetCDF files computed in the first step, one for each variable.
Restored fields
>>> python plot_taylor_diagrams.py -i32 -o ../Multivariate/T_S_PO4.ps -pv ../LEV_SSS_comp_stat/LEV_SSS_comp_stat.nc ../WOA_PO4_comp_stat/WOA_PO4_comp_stat.nc ../LEV_SST_comp_stat/LEV_SST_comp_stat.nc
Non-restored fields
>>> python plot_taylor_diagrams.py -i32 -o ../Multivariate/C14_CFC_DIC_Flux.ps -pv ../TAKA_FCO2/comp_stat/TAKA_FCO2_comp_stat.nc ../Anthropic_CO2/comp_stat/high_lat_masked/comp_stat.nc ../C-14/comp_stat/comp_stat.nc ../CFC11/comp_stat/comp_stat.nc