Taylor diagrams for model-Takahashi delta-pCO2 intercomparison


You can download a PDF version of each diagram below by clicking on it.

See the commands that produced this set of diagrams

  Total space-time field
  Zonal annual mean
Zonal monthly mean
Monthly anomaly to zonal annual mean
Annual mean map
Monthly anomaly to annual mean map
Longitudinal anomaly to monthly zonal mean
Annual mean longitudinal anomaly to zonal mean

The two commands that produced this set of diagrams:

1) The command that produced the statistics NetCDF file (TAKA_dpCO2/comp_stat/comp_stat.nc)

>>> python model_vs_data_comp_stat.py -o TAKA_dpCO2/comp_stat/comp_stat.nc -t TAKA_dpCO2/comp_stat/comp_stat.txt TAKA_dpCO2/data/TAKA_dpco2_2002.nc delta_pco2 "TAKA_dpCO2/model_output/%(model)_dpCO2_1995.nc" dpCO2

This command also produced a text file containing all the statistics (TAKA_dpCO2/comp_stat/comp_stat.txt).


2) The command that read the statistics and produced all the diagrams

>>> python plot_taylor_diagrams.py -i38 -pbrd -t "Model/Takahashi Sea-Air Delta-pCO2 comparison" -f TAKA_dpCO2/model_dictionary.py -o TAKA_dpCO2/comp_stat/ TAKA_dpCO2/comp_stat/comp_stat.nc

Note that, though we specify the diagram title, some other meta-information (units)  is extracted from the data or model output files.
The model list and their code letter are extracted from a miscellaneous parameter file, specified on the command line with option '-f': model_dictionary.py.