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Created with Raphaël 2.2.025Mar232218161510432126Feb25242322191817161512985432125Jan19158723Dec226Nov2523191816121110628Oct232219171412872129Sep2825211816151410983131Aug30Jul292827242220171615230Jun2926252423181716151211815May1330Apr292722201918171587631Mar302726252423201918167643228Feb27261813121110730Jan24222120138718Dec17161110532129Nov2827262523222113731Oct3028252422211816420Sep1918111095431Jul2925171615121Jun19181712111097654329May2827232221201615141310976328Mar252221201918118754128Feb26[projection snowfall] add main_sensitivity_one_altitude_range.py. add detail plot for each massif for the return level[projection snowfall] add modification to try to account for gcm parameters, without success[projection swe] modify parameters for the spline. modify temp invervals.[projection swe] add sensitivity for return levels.[projection swe] modify interval (and data constraint) for temperature sensitivity. add invidual plots in sensitivity. add changes plot in sensitivity.[projection swe] add test_ensemble_fit.py. start margin model with effect[projection swe] add new version for the temperature covariate.[projection swe] move projected swe to archive folder[projection swe] add crpss and train train test. improve the plot. fix bug for selection of plausible models.[projection swe] add model_as_truth.py. add default weight solver and a file for the method with bootstrap[projection snowfall] add massif_names for cache computation in abstract_study.py. implement bootstrap indicator. add bootstrap return level that are physically plausible[projection snowfall] improve weight computation for knutti_weight_solver.py[projection snowfall] add weight solver[projection snowfall] add preliminary analysis for the work on model with effect related to the GCM or RCM type.[projection snowfall] add together fit, and its usage into visualizer_for_sensitivity.py[projection snowfall] modify interval limits. plot both merge & mean aggregation.[projection snowfall] add main_projections_ensemble.py where we try together_ensemble_fit.py[projection snowfall] improve one_fold_fit_merge.py. improve interval for the sensitivity plot. Add is_temperature_interval and is_shift_interval to define the intervals.[projection swe] implement knutti_weight_computer.py and refactor the rest of the code.[projection swe] add non-stationary weight computer. refactor code for the weights.[projection swe] add script for weight computation.[projection swe] add script for weight computation.[refactor] fix imports.[refactor] fix issue. the temporal covariate is the the anomaly of temperature smoothed with a spline[refactor] remove rolling=30 for smoothing global temperatures, use smoothing spline instead[refactor] update main_season_repartition_of_maxima.py to compare swe results, for safran 2019 and adamont v2, to show the limit of their indicator.[refactor] update main_season_repartition_of_maxima.py to compare swe results, for safran 2019 and adamont v2, to show the limit of their indicator.[refactor] add dates for adamont v2. test them.[refactor] add swe and ground snow load variable for adamont v2. rename also some files.[refactor] rename folders for one/two fold fit. move the code for the anomaly into temperature_covariate.py[refactor] rename folders for the two first articles[refactor] move altitudes_studies.py. create trend test folder inside extreme_trend. deactivate one test for param_function that was crashing globally for unknown reason (but locally the test is working).[refactor] move altitudes_studies.py. create trend test folder inside extreme_trend.[refactor] remove anything related to total_aic for the second paper.[refactor] move quantile regression project[refactor] remove unnecessary argument for gev_params.py[refactor] remove accept_zero_scale_parameter in gev_params.py[refactor] add nan_if_undefined_wrapper. update tests.[refactor] create archive folder. delete contrasting folder.[projections] fix and refactor temperature_to_year.py. Focus on the median merge function, rather than the mean merge function.