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You can download a PDF version of each diagram below by clicking on it.
See the commands that produce this set of diagrams
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1) The command that computes the statistics NetCDF file (C14/comp_stat.nc)
>>> python model_vs_data_comp_stat.py -oC14/comp_stat.nc -tC14/comp_stat.txt data/KEY_C14.nc C14 "model_output/%(model).nc" DC14
The four last parameters are, respectively:
data/KEY_C14.nc:
NetCDF file containing estimates or observation data. This file is derived from data-based annual mean 14C in Pacific Ocean provided by Bob Key.
C14:
Variable id within this file
model_output/%(model).nc:
Template for NetCDF files containing model output. Note that this parameter is quoted to protect it from the shell since it contains the character '%' (with special meaning in shell syntax)
DC14:
Variable id common to all model output files
Due to the use of option '-t', this command also produces a text file containing all the statistics (C14/comp_stat.txt).2) The command that read the statistics and produces all the diagrams
>>> python plot_taylor_diagrams.py -i38 -C1,8,2 -t "Deep Pacific water C14 Taylor diagram" -pbrd -o C14/comp_stat/ C14/comp_stat/comp_stat.nc
Option '-i' sets the size of marker or symbol for each models on the diagram (allowed size ranges from 0 to 100)
Option -C selects a subset of statistical components. Since observation data and model output are annual means, only spatial components are selected.
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 file: model_dictionary.py.