diff --git a/extreme_data/meteo_france_data/adamont_data/abstract_adamont_study.py b/extreme_data/meteo_france_data/adamont_data/abstract_adamont_study.py
index 2cd805a76af047e60b38eeccc417131dcad2851f..63fc61f977c6428c27a7b35fbc7e65c18bfedda3 100644
--- a/extreme_data/meteo_france_data/adamont_data/abstract_adamont_study.py
+++ b/extreme_data/meteo_france_data/adamont_data/abstract_adamont_study.py
@@ -21,6 +21,8 @@ from cached_property import cached_property
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
from extreme_data.meteo_france_data.scm_models_data.utils import Season, FrenchRegion, french_region_to_str
+class WrongYearMinOrYearMax(Exception):
+ pass
class AbstractAdamontStudy(AbstractStudy):
YEAR_MIN = 1950
@@ -33,8 +35,13 @@ class AbstractAdamontStudy(AbstractStudy):
scenario=AdamontScenario.histo, gcm_rcm_couple=('CNRM-CM5', 'ALADIN53')):
# Load the default year_min & year_max for the scenario if not specified
year_min_scenario, year_max_scenario = get_year_min_and_year_max_from_scenario(scenario, gcm_rcm_couple)
+ # Raise exception
if year_min is None:
year_min = year_min_scenario
+ else:
+ if year_min < year_min_scenario:
+ raise WrongYearMinOrYearMax('year min is {} and should be larger than {}'.format(year_min, year_min_scenario))
+
if year_max is None:
year_max = year_max_scenario
super().__init__(variable_class=variable_class, altitude=altitude, year_min=year_min, year_max=year_max,
diff --git a/extreme_data/meteo_france_data/scm_models_data/visualization/main_study_visualizer.py b/extreme_data/meteo_france_data/scm_models_data/visualization/main_study_visualizer.py
index 152971ced77200f9bcbbf2f6e38ca5304c6b0013..8ddf624c61ed13eeac8a095b8bd5007c568eb112 100644
--- a/extreme_data/meteo_france_data/scm_models_data/visualization/main_study_visualizer.py
+++ b/extreme_data/meteo_france_data/scm_models_data/visualization/main_study_visualizer.py
@@ -32,6 +32,9 @@ SLEurocode = 'SL from max HS with ' + eurocode_snow_density
SCM_STUDIES = [SafranSnowfall, CrocusSweTotal, CrocusDepth, CrocusSwe3Days]
SCM_STUDIES_NAMES = [get_display_name_from_object_type(k) for k in SCM_STUDIES]
SCM_STUDY_NAME_TO_SCM_STUDY = dict(zip(SCM_STUDIES_NAMES, SCM_STUDIES))
+
+
+# I keep the scm study separated from the adamont study (for the tests)
SCM_STUDY_CLASS_TO_ABBREVIATION = {
SafranSnowfall: 'SF3',
SafranSnowfall1Day: 'daily snowfall',
@@ -62,6 +65,7 @@ SCM_STUDY_CLASS_TO_ABBREVIATION = {
ADAMONT_STUDY_CLASS_TO_ABBREVIATION = {
AdamontSnowfall: 'daily snowfall',
}
+STUDY_CLASS_TO_ABBREVIATION = {**ADAMONT_STUDY_CLASS_TO_ABBREVIATION, **SCM_STUDY_CLASS_TO_ABBREVIATION}
altitude_massif_name_and_study_class_for_poster = [
(900, 'Chartreuse', CrocusSweTotal),
diff --git a/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py b/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
index 524f58aa6422afd2a71b0440708843509467b793..2cdcdba4b63197749dbadfe3311d81f079e374f3 100644
--- a/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
+++ b/projects/altitude_spatial_model/altitudes_fit/altitudes_studies.py
@@ -6,7 +6,7 @@ from cached_property import cached_property
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
from extreme_data.meteo_france_data.scm_models_data.visualization.main_study_visualizer import \
- SCM_STUDY_CLASS_TO_ABBREVIATION
+ SCM_STUDY_CLASS_TO_ABBREVIATION, STUDY_CLASS_TO_ABBREVIATION
from extreme_data.meteo_france_data.scm_models_data.visualization.plot_utils import plot_against_altitude
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import StudyVisualizer
from spatio_temporal_dataset.coordinates.abstract_coordinates import AbstractCoordinates
@@ -134,7 +134,8 @@ class AltitudesStudies(object):
y = study.massif_name_to_annual_maxima[massif_name]
label = '{} m'.format(altitude)
ax.plot(x, y, linewidth=2, label=label)
- ax.xaxis.set_ticks(x[11::20])
+ ax.xaxis.set_ticks([e for e in x if e % 10 == 0][::2])
+ ax.set_xlim((x[0], x[-1]))
# Plot for the paper 2
if massif_name == "Vanoise":
@@ -144,10 +145,10 @@ class AltitudesStudies(object):
ax.tick_params(axis='both', which='major', labelsize=20)
handles, labels = ax.get_legend_handles_labels()
ax.legend(handles[::-1], labels[::-1], prop={'size': 20})
- plot_name = 'Annual maxima of {} in {}'.format(SCM_STUDY_CLASS_TO_ABBREVIATION[self.study_class],
+ plot_name = 'Annual maxima of {} in {}'.format(STUDY_CLASS_TO_ABBREVIATION[self.study_class],
massif_name.replace('_', ' '))
- # ax.set_ylabel('{} ({})'.format(plot_name, self.study.variable_unit), fontsize=15)
- # ax.set_xlabel('years', fontsize=15)
+ ax.set_ylabel('{} ({})'.format(plot_name, self.study.variable_unit), fontsize=15)
+ ax.set_xlabel('years', fontsize=15)
plot_name = 'time series/' + plot_name
self.show_or_save_to_file(plot_name=plot_name, show=show, no_title=True, tight_layout=True)
ax.clear()
diff --git a/projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py b/projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py
index 343de5879e157f1c3124c477e9b2281b15aefa10..3eaf91fece20944a2fda1dd21d8fb637bbc8eb65 100644
--- a/projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py
+++ b/projects/altitude_spatial_model/altitudes_fit/utils_altitude_studies_visualizer.py
@@ -5,24 +5,17 @@ from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitudes_s
AltitudesStudiesVisualizerForNonStationaryModels
-def load_visualizer_list(season, study_class, altitudes_list, massif_names):
+def load_visualizer_list(season, study_class, altitudes_list, massif_names, **kwargs_study):
model_classes = ALTITUDINAL_GEV_MODELS_BASED_ON_POINTWISE_ANALYSIS
visualizer_list = []
# Load all studies
for altitudes in altitudes_list:
- # if issubclass(study_class, SimulationStudy):
- # for ensemble_idx in list(range(14))[:1]:
- # studies = AltitudesStudies(study_class, altitudes, season=season,
- # ensemble_idx=ensemble_idx)
- # plot_studies(massif_names, season, studies, study_class)
- # else:
- studies = AltitudesStudies(study_class, altitudes, season=season)
+ studies = AltitudesStudies(study_class, altitudes, season=season, **kwargs_study)
visualizer = AltitudesStudiesVisualizerForNonStationaryModels(studies=studies,
model_classes=model_classes,
massif_names=massif_names,
show=False,
temporal_covariate_for_fit=None,
- # temporal_covariate_for_fit=MeanAlpsTemperatureCovariate,
)
visualizer_list.append(visualizer)
compute_and_assign_max_abs(visualizer_list)
diff --git a/projects/projected_snowfall/trends/main_projected_trends_separately.py b/projects/projected_snowfall/trends/main_projected_trends_separately.py
new file mode 100644
index 0000000000000000000000000000000000000000..8ed7dcc680526d0b8ea5f7de0b4418ad1225088b
--- /dev/null
+++ b/projects/projected_snowfall/trends/main_projected_trends_separately.py
@@ -0,0 +1,95 @@
+import time
+from typing import List
+
+import matplotlib as mpl
+import numpy as np
+
+from extreme_data.meteo_france_data.adamont_data.abstract_adamont_study import WrongYearMinOrYearMax
+from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import AdamontSnowfall
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoadTotal, CrocusSnowLoad3Days
+from projects.altitude_spatial_model.altitudes_fit.plots.plot_coherence_curves import plot_coherence_curves
+from projects.altitude_spatial_model.altitudes_fit.plots.plot_histogram_altitude_studies import \
+ plot_histogram_all_models_against_altitudes, plot_histogram_all_trends_against_altitudes, \
+ plot_shoe_plot_changes_against_altitude
+
+mpl.rcParams['text.usetex'] = True
+mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
+
+from projects.altitude_spatial_model.altitudes_fit.utils_altitude_studies_visualizer import load_visualizer_list
+
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.altitude_group import altitudes_for_groups
+from projects.altitude_spatial_model.altitudes_fit.one_fold_analysis.plot_total_aic import plot_individual_aic
+
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day, SafranSnowfall3Days, \
+ SafranSnowfall5Days, SafranSnowfall7Days, SafranDateFirstSnowfall, SafranPrecipitation1Day, SafranPrecipitation3Days
+from extreme_data.meteo_france_data.scm_models_data.utils import Season
+
+
+def main():
+ study_class = AdamontSnowfall
+ scenario = AdamontScenario.rcp85_extended
+ gcm_rcm_couples = [('CNRM-CM5', 'CCLM4-8-17'), ('CNRM-CM5', 'RCA4')][1:]
+
+ fast = True
+ if fast is None:
+ massif_names = None
+ altitudes_list = altitudes_for_groups[1:2]
+ elif fast:
+ massif_names = ['Vanoise', 'Haute-Maurienne', 'Vercors'][:1]
+ altitudes_list = altitudes_for_groups[1:3]
+ else:
+ massif_names = None
+ altitudes_list = altitudes_for_groups[:]
+
+ # One plot for each massif name
+ for massif_name in massif_names:
+ print(massif_name)
+ main_loop(altitudes_list, [massif_name], gcm_rcm_couples, study_class, scenario)
+
+
+def main_loop(altitudes_list, massif_names, gcm_rcm_couples, study_class, scenario):
+ assert isinstance(altitudes_list, List)
+ assert isinstance(altitudes_list[0], List)
+ altitudes_for_return_levels = [altitudes[-2] for altitudes in altitudes_list]
+ print(altitudes_for_return_levels)
+ season = Season.annual
+ first_year_min, first_year_max = 1951, 2010
+ nb_years = first_year_max - first_year_min + 1
+ temporal_windows = [(first_year_min + i, first_year_max + i) for i in [30 * j for j in range(4)]]
+ all_changes_in_return_levels = []
+ for gcm_rcm_couple in gcm_rcm_couples:
+ print('Inner', gcm_rcm_couple)
+ changes_in_return_levels = []
+ for temporal_window in temporal_windows:
+ year_min, year_max = temporal_window
+ try:
+ visualizer_list = load_visualizer_list(season, study_class, altitudes_list, massif_names,
+ scenario=scenario, gcm_rcm_couple=gcm_rcm_couple,
+ year_min=year_min, year_max=year_max)
+
+ for visualizer in visualizer_list:
+ visualizer.studies.plot_maxima_time_series(massif_names)
+ massif_name = massif_names[0]
+ changes_for_temporal_window = [
+ v.massif_name_to_one_fold_fit[massif_name].changes_of_moment(altitudes=[a],
+ year=year_max,
+ nb_years=nb_years,
+ order=None
+ )[0]
+ for a, v in zip(altitudes_for_return_levels, visualizer_list)]
+
+ except WrongYearMinOrYearMax:
+ changes_for_temporal_window = [np.nan for _ in altitudes_for_return_levels]
+
+ print(changes_for_temporal_window)
+ changes_in_return_levels.append(changes_for_temporal_window)
+ changes_in_return_levels = np.array(changes_in_return_levels)
+ all_changes_in_return_levels.append(changes_in_return_levels)
+ all_changes_in_return_levels = np.array(all_changes_in_return_levels)
+
+ return all_changes_in_return_levels, temporal_windows, altitudes_for_return_levels, nb_years
+
+
+if __name__ == '__main__':
+ main()