At a glance

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

See the commands that produce these diagrams

Main Taylor diagram	Multi-component Taylor diagram

The commands that produce these diagrams:

1^st step: The command that computes the statistics NetCDF file (TAKA_dpCO2_comp_stat/TAKA_dpCO2_comp_stat.nc)

>>> python model_vs_data_comp_stat.py -oTAKA_dpCO2/comp_stat/comp_stat.nc -tTAKA_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 produces a text file containing all the statistics (TAKA_dpCO2/comp_stat/comp_stat.txt).

2^nd step: The commands that read the statistics file and produce the Taylor diagrams, above

Main Taylor diagram >>> python plot_taylor_diagrams.py -i40 -t "Model/Takahashi Sea-Air delta-pCO2 comparison" -pbrd -f TAKA_dpCO2/model_dictionary.py -o TAKA_dpCO2/comp_stat/ TAKA_dpCO2/comp_stat/comp_stat.nc This command results in 8 diagrams (in 8 files): the main one, as above, plus 7 ones for different statistical components.

Multi-component Taylor diagram >>> python plot_taylor_diagrams.py -i32 -t "Model/Takahashi Sea-Air Delta-pCO2 comparison" -sp -C1,7,2,4 -f TAKA_dpCO2/model_dictionary.py -o TAKA_dpCO2/comp_stat/comp_stat.ps 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 command line by option '-f': model_dictionary.py.