diff --git a/extreme_trend/visualizers/utils.py b/extreme_trend/visualizers/utils.py
index 9e2f857ab2c58b142c3424803f97dabd0a8c707b..78a4f4ad08838c5c6100ef35c89ea32a4c552f61 100644
--- a/extreme_trend/visualizers/utils.py
+++ b/extreme_trend/visualizers/utils.py
@@ -13,7 +13,6 @@ def load_altitude_to_visualizer(altitudes, massif_names, model_subsets_for_uncer
                                 save_to_file=True,
                                 multiprocessing=True,
                                 season=SeasonForTheMaxima.annual):
-    print("Season={}".format(season))
     fit_method = TemporalMarginFitMethod.extremes_fevd_mle
     altitude_to_visualizer = OrderedDict()
     for altitude in altitudes:
diff --git a/projects/contrasting_trends_in_snow_loads/main_result.py b/projects/contrasting_trends_in_snow_loads/main_result.py
index a77384cb8ff10d4c2ab32ccbb042403fd3904bb1..6dbcde6a7b6f1d5e9225a3ad9e0e3c42a885bfa0 100644
--- a/projects/contrasting_trends_in_snow_loads/main_result.py
+++ b/projects/contrasting_trends_in_snow_loads/main_result.py
@@ -42,8 +42,7 @@ def intermediate_result(altitudes, massif_names=None,
     """
     # Load altitude to visualizer
     altitude_to_visualizer = load_altitude_to_visualizer(altitudes, massif_names, model_subsets_for_uncertainty,
-                                                         study_class, uncertainty_methods, save_to_file=save_to_file,
-                                                         season=SeasonForTheMaxima.winter_extended)
+                                                         study_class, uncertainty_methods, save_to_file=save_to_file)
     # Load variable object efficiently
     for v in altitude_to_visualizer.values():
         _ = v.study.year_to_variable_object
@@ -59,7 +58,6 @@ def intermediate_result(altitudes, massif_names=None,
     # Plots
     plot_contrasting_trend_curves(altitude_to_visualizer, all_regions=True)
 
-
 def major_result():
     uncertainty_methods = [ConfidenceIntervalMethodFromExtremes.my_bayes,
                            ConfidenceIntervalMethodFromExtremes.ci_mle][1:]
@@ -75,10 +73,16 @@ def major_result():
     rainfall_classes = [SafranRainfall1Day, SafranRainfall3Days, SafranRainfall5Days, SafranRainfall7Days]
     study_classes = precipitation_classes + snow_load_classes
     # study_classes = snowfall_classes + rainfall_classes
-    for study_class in [SafranPrecipitation3Days, CrocusSnowLoad3Days]:
+    for study_class in snowfall_classes:
         intermediate_result(altitudes, massif_names, model_subsets_for_uncertainty,
                             uncertainty_methods, study_class, multiprocessing=True)
 
+"""
+
+est ce qu il y a une croissance signifcative en pluie, 
+
+est ce qu'il y a une decroissance signifcatieve à partir d'une certaine altitude
+"""
 
 if __name__ == '__main__':
     major_result()
diff --git a/projects/contrasting_trends_in_snow_loads/weather_types_analysis/main_distribution_wps.py b/projects/contrasting_trends_in_snow_loads/weather_types_analysis/main_distribution_wps.py
index 570785eddec622281dc280143312ece20add7bf2..2ff47881c213c08e44917a81cb4efaf1c9c33d0c 100644
--- a/projects/contrasting_trends_in_snow_loads/weather_types_analysis/main_distribution_wps.py
+++ b/projects/contrasting_trends_in_snow_loads/weather_types_analysis/main_distribution_wps.py
@@ -9,7 +9,7 @@ from extreme_data.meteo_france_data.scm_models_data.utils import SeasonForTheMax
 
 
 def main_spatial_distribution_wps(study_class, year_min=1959, year_max=2008, limit_for_the_percentage=None):
-    study = study_class(altitude=1800, year_min=year_min, year_max=year_max, season=SeasonForTheMaxima.winter_extended)
+    study = study_class(altitude=1800, year_min=year_min, year_max=year_max)
     for region_name in AbstractExtendedStudy.region_names:
         massif_names = AbstractExtendedStudy.region_name_to_massif_names[region_name]
         print('\n \n', region_name, '\n')
@@ -50,8 +50,8 @@ Process finished with exit code 0
 def main_temporal_distribution_wps(study_class, year_min=1959, year_max=2008, limit_for_the_percentage=None):
     altitude = 1800
     intermediate_year = year_min + round(float(year_max - year_min) / 2)
-    study_before = study_class(altitude=altitude, year_min=year_min, year_max=intermediate_year, season=SeasonForTheMaxima.winter_extended)
-    study_after = study_class(altitude=altitude, year_min=intermediate_year+1, year_max=year_max, season=SeasonForTheMaxima.winter_extended)
+    study_before = study_class(altitude=altitude, year_min=year_min, year_max=intermediate_year)
+    study_after = study_class(altitude=altitude, year_min=intermediate_year+1, year_max=year_max)
     for region_name in AbstractExtendedStudy.region_names:
         massif_names = AbstractExtendedStudy.region_name_to_massif_names[region_name]
         print('\n \n', '{} ({} massifs)'.format(region_name, len(massif_names)), '\n')
@@ -105,7 +105,7 @@ South Circulation           76     23   158   74     138  306
 
 
 if __name__ == '__main__':
-    limit_percentage = 10
+    limit_percentage = 1
     study_class = [CrocusSnowLoad1Day, SafranPrecipitation1Day, SafranPrecipitation3Days][-1]
-    # main_spatial_distribution_wps(study_class, limit_for_the_percentage=limit_percentage)
-    main_temporal_distribution_wps(study_class, limit_for_the_percentage=limit_percentage)
+    main_spatial_distribution_wps(study_class, limit_for_the_percentage=limit_percentage)
+    # main_temporal_distribution_wps(study_class, limit_for_the_percentage=limit_percentage)