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

[contrasting] add plot to compare the size of confidence interval between the pointwise approach and the piecewise elevational-temporal approach. bootstrap level is set to 100

[contrasting] implement bootstrap confidence interval both for pointwise stationary models and for elevation-temporal models. accelerate bootstraping with multiprocessing & storing of fitted functions only (storing the estimator was impossible).

[contrasting] change reference altititudes. change cmap for the plots. change axis for the preliminary plots.

[contrasted] add massif_name_to_annual_total to abstract_study. add plot that compare side by side the total snowfall & maxima of snowfall.

[snow projection] improve rank & bias plots. remove dataset attribute for abstract_adamont_study.py.

[snow projection] improve drastically the loading time for the abstract_adamont_study.py based on a simple conversion to numpy array.
 remove fit_method from plot_map argument.

[contrasting v2] improve a lot of all my plots (i save both a transparent version in svg & a non transparent in png).

[contrasting v2] download_adamont.py all studies. Lower a bit the text for some massif. files are by default generated in svg from now on.
change group -> range. remove the elevation 3900 from the high-elevation range.