At a glance

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

See the commands that produced these diagrams

Main Taylor diagram	Multi-component Taylor diagram

The commands that produced these diagrams:

1^st step: The command that computed the statistics NetCDF file (louanchi_PO4_comp_stat/louanchi_PO4_comp_stat.nc)

>>> python model_vs_data_comp_stat.py -olouanchi_PO4_comp_stat/louanchi_PO4_comp_stat.nc -s1000 -tlouanchi_PO4_comp_stat/louanchi_PO4_comp_stat.txt -2 /home/geocean/ocmip/data/gridded/WOA2001/po4_lev.nc,po4 /home/geocean/ocmip/data/gridded/louanchi/po4_louanchi.nc PO4 "/home/geocean/ocmip/phase2/%(model)/Biotic/%(model)_LEV_PHOSPHATE.nc" PHOSPHATE

This command also produced a text file containing all the statistics (louanchi_PO4_comp_stat/louanchi_PO4_comp_stat.txt).

Here, we compare not only the models but also a second data-based climatology: World Ocean Atlas (WOA2001).

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

Main Taylor diagram >>> python plot_taylor_diagrams.py -i40 -t "Model/LOUANCHI phosphate comparison" -pbrd -o louanchi_PO4_comp_stat/ louanchi_PO4_comp_stat/louanchi_PO4_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/LOUANCHI phosphate comparison" -u 'umol/L' -sp -C1,7,2,4 -o louanchi_PO4_comp_stat/ louanchi_PO4_comp_stat/louanchi_PO4_comp_stat.nc

Note that, we specify the diagram title and some other meta-information (units) that could not be retrieved from the data or model output files.
The model list and their code letter are extracted from a miscellaneous file: model_dictionary.py.