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Created with Raphaël 2.2.019Feb1817161512985432125Jan19158723Dec226Nov2523191816121110628Oct232219171412872129Sep2825211816151410983131Aug30Jul292827242220171615230Jun2926252423181716151211815May1330Apr292722201918171587631Mar302726252423201918167643228Feb27261813121110730Jan24222120138718Dec17161110532129Nov2827262523222113731Oct3028252422211816420Sep1918111095431Jul2925171615121Jun19181712111097654329May2827232221201615141310976328Mar252221201918118754128Feb26252221201913121124Jan2214319Dec1413121065[projections] fix anomaly for temperature[projections] add a constraint to have physically plausible models for the fitted models.[projections] add a constraint to have physically plausible models for the fitted models.[contrasting] second submission[projections] modify year 2019 in OneFoldFit !!! improve visualizer_for_projection_ensemble.py[projections] first version for abstract_ensemble_fit.py and independent_ensemble_fit.py[projections] fix anomaly of temperatures & check them visually[projections] add AnomalyTemperatureTemporalCovariate and test. and anomaly computation for cmip5 global temperatures[projections] add TestSpatioTemporalDatasetForClimateModels. add TemperatureTemporalCovariate.[projections] add test_one_fold_fit.py and clustered_ensemble.py[projections] fix main_data.py plot[projections] fix main_data.py by fixing rcp_extended for adamont_v2[projections] fix test_adamont_study.py for adamont v1[projections] in an adamont_studies.py study can have different year_min and year max. Refactor adamont_gcm_rcm_couples.py. Add rcp_extended 2.6 et 4.5. Fix erroneous data for some couple for the scenario 8.5. Add main_data.py.[projections] prepare visualizer_for_projection_ensemble.py[projections] fix test_existing_gcm_rcm_couple_and_rcp[projections] implement preliminary plots for the adamont v2 data.[projections] add new folder for the work with the ensembles.[projections] add plot global temp. also centered the global temp on the winter year. and average on the past 30 years[projections] add plot global temp. also centered the global temp on the winter year. and average on the past 30 years[projections] add global temp download from climate explorer. add std computation for the evaluation of ADAMONT v2[projections] add some code for to load & compute the GCM temperature of each GCM considered.[projections] add relative bias, and some improvement on the name[projections] add test_massif_names_adamont_v2 to check that all massifs are the same than for SAFRAN 2020.[projections] improve comparison on the quantile period[projections] comparison of bias in the mean annual maxima.[projections] remove 'CNRM-ALADIN62_ECMWF-ERAINT' for the ensemble of adamont_v2.[projections] remove 'CNRM-ALADIN62_ECMWF-ERAINT' for the ensemble of adamont_v2.[projections] remove 'CNRM-ALADIN62_ECMWF-ERAINT' for the ensemble of adamont_v2.[projections] add adamont_v2[contrasting] Final modifications for the plot for the v5 of the article[contrasting] Final modifications for the plot for the v4 of the article[contrasting] Final modifications for the plot.[contrasting] add code to retrieve gcm_rcm_couples. start code to compare bias on the quantile period (between projecitons, and ADAMONT 2020)[contrasting] add gap between studies. and some safran variables.[contrasting] add gap between study. and add safran 2019 from max files. add main_comparison_histo.py[contrasting] add gap between study. and add safran 2019 from max files. add main_comparison_histo.py[contrasting] change the name_str for the model on the map. add safran 2020 for the snowfall.[contrasting] add fix for the multiprocessing, and the thread[contrasting] accelerate bootstrapping to with batch multiprocessing. improve optimisation.