Ingredients to make a reproducibility test of EC-Earth 3.1 and later. Largely based on Paolo Davini's initial scripts to make a climate assessment of EC-Earth Current limitations and constraints: * The output must come from EC-Earth 3.1 or later * The output must be available as MMO, MMA tar files and ICMGG, ICMSH grib files * The output must consist in 12 month data per file * The simulation must start with January and finish with December * The scripts are adapted to compare two and only two experiments 1/ Checkout the git project from the BSC archive ------------------------------------------------ >> git clone https://earth.bsc.es/gitlab/fmassonnet/reproducibility.git >> git checkout master 2/ Edit the configuration file ------------------------------ >> vi ./scripts/config.sh 3/ Pre-process the EC-Earth output ---------------------------------- >> cd ./scripts >> ./preprocess.sh ${exp} ${memb} ${yearb} ${yeare} [ Execute ./preprocess.sh to see the help ] Process *all* your members of all experiments. This can be done in paralle by using nohup commands for instance: >> exp=m06e; for i in 0 1 2 3 4 ; do sleep 2; nohup ./preprocess.sh ${exp} fc${i} 1850 1869 >& log/log_prpr_${exp}_fc${i} & done 4/ Re-grid to the same grid as the observational reference ---------------------------------------------------------- >> ./postprocess.sh ${exp} ${memb} ${yearb} ${yeare} 5/ Compute the Reichler and Kim indices --------------------------------------- ./scores.sh ${exp} ${memb} ${yearb} ${yeare} NetCDF files and a text file will be available in the directory EC-Earth_diags. This text file (PI3.txt) consists in scores. By looking at how scores vary from member to member one can guess if an experiment is reproducible wrt another one. Once steps 1/ -> 5/ have been done for all members, we can proceed to ensemble analyses: 6/ Ensemble analyses -------------------- ./ensemble.sh ${exp} ${yearb} ${yeare} Process all your experiments with this script. And then produce the plots comparing the Reichler and Kim indices and the variables differences between two experiments: 7/ Run reproducibility diagnostics between two experiments ---------------------------------------------------------- ./compare.sh ${exp1} ${exp2} ${year1} ${year2} ${nmemb} ${nmemb} is the number of members that is used to compare the experiments. This script launch three R scripts: 1/ Basic time series (2-m temperature, sea ice extent, precip) 2/ The first on make the comparison based on the Reichler-Kim indices with the KS test (script R_scripts/KS_index.R). It produces the plot reichler_kim_scores_stat_${exp1}_${exp2}.ps 3/ The second script produces the maps of the differences, with a KS test applied in each grid cell (script map_diff_experiments.R), for the variables 't2m','msl','qnet','tp','ewss','nsss' and 'SICE'. RData files are also saved to redo quickly the maps, changing for example the levels of the colour bars.