[refactor] fix issue. the temporal covariate is the the anomaly of temperature smoothed with a spline

[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.

[projections] fix and refactor temperature_to_year.py. Focus on the median merge function, rather than the mean merge function.

[projections] add visualizer_for_sensitivity.py based on visualizer_for_projection_ensemble.py. add temperature_to_year.py file.
Fix max abs recurrent issue (when it was equal to zero). add one test for one fold fit, that was that due to a scale parameter that was close to zero, and was causing instabilities in the nllh value. This is fixed by changing the check for implausible in one fold fit, and by saying that if the scale parameter is close to zero then the parameter is undefined.

Try to reuse the previous code as much as possible.

[projections] add AnomalyTemperatureTemporalCovariate and test. and anomaly computation for cmip5 global temperatures

integrate DatasetForClimateModels into altitude_studies.py

[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] 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 test_massif_names_adamont_v2 to check that all massifs are the same than for SAFRAN 2020.
add assertion to check to the year_min and year_max for each scenario.
compute bias in the mean maxima at the masssif level

generalize the usage of "get_gcm_rcm_couple_adamont_to_full_name". fix color_dict.

generalize the usage of "get_gcm_rcm_couple_adamont_to_full_name". fix color_dict.

generalize the usage of "get_gcm_rcm_couple_adamont_to_full_name"

change alpha confidence uncertainty to 80% uncertainty interval when i run the main code.
create 3 qqplots overlaid, one for each altitude.
remove the exclusion of some bootstrap samples (in particular we remove the threshold equal to 2000)

[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 study. and add safran 2019 from max files. add main_comparison_histo.py