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 cfc583396558fa2617a60d15657bbf84bf3809ac..271753085c518ba9a2aeb21e86cb751b4c8787ce 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
@@ -9,7 +9,9 @@ from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusD
from extreme_data.meteo_france_data.scm_models_data.crocus.crocus_variables import CrocusDensityVariable
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall, ExtendedSafranSnowfall, \
SafranRainfall, \
- SafranTemperature, SafranPrecipitation, SafranSnowfall1Day
+ SafranTemperature, SafranPrecipitation, SafranSnowfall1Day, SafranSnowfall3Days, SafranSnowfall5Days, \
+ SafranSnowfall7Days, SafranPrecipitation1Day, SafranPrecipitation3Days, SafranPrecipitation5Days, \
+ SafranPrecipitation7Days
from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import \
StudyVisualizer
from projects.exceeding_snow_loads.section_discussion.crocus_study_comparison_with_eurocode import \
@@ -30,6 +32,13 @@ SCM_STUDY_NAME_TO_SCM_STUDY = dict(zip(SCM_STUDIES_NAMES, SCM_STUDIES))
SCM_STUDY_CLASS_TO_ABBREVIATION = {
SafranSnowfall: 'SF3',
SafranSnowfall1Day: 'SF1',
+ SafranSnowfall3Days: 'SF3',
+ SafranSnowfall5Days: 'SF5',
+ SafranSnowfall7Days: 'SF7',
+ SafranPrecipitation1Day: 'PR1',
+ SafranPrecipitation3Days: 'PR3',
+ SafranPrecipitation5Days: 'PR5',
+ SafranPrecipitation7Days: 'PR7',
CrocusSweTotal: 'SWE',
CrocusSwe3Days: 'SWE3',
CrocusSnowLoadEurocode: 'GSL from annual maximum of HS \nand {}'.format(eurocode_snow_density),
diff --git a/projects/contrasting_trends_in_snow_loads/altitudes_fit/altitudes_studies.py b/projects/contrasting_trends_in_snow_loads/altitudes_fit/altitudes_studies.py
index d78cafe84dcf36e07b5fef0d5822902ff97ec635..84a6c8f640b19e134850a46dcd466b36319f8334 100644
--- a/projects/contrasting_trends_in_snow_loads/altitudes_fit/altitudes_studies.py
+++ b/projects/contrasting_trends_in_snow_loads/altitudes_fit/altitudes_studies.py
@@ -1,4 +1,5 @@
import pandas as pd
+import numpy as np
from collections import OrderedDict
from cached_property import cached_property
@@ -17,6 +18,7 @@ from spatio_temporal_dataset.coordinates.temporal_coordinates.generated_temporal
from spatio_temporal_dataset.dataset.abstract_dataset import AbstractDataset
from spatio_temporal_dataset.spatio_temporal_observations.annual_maxima_observations import AnnualMaxima
import matplotlib.pyplot as plt
+import matplotlib.colors as mcolors
class AltitudesStudies(object):
@@ -91,13 +93,16 @@ class AltitudesStudies(object):
study_visualizer.plot_name = plot_name
study_visualizer.show_or_save_to_file(add_classic_title=False, dpi=500)
- def plot_maxima_time_series(self, massif_names=None, show=False):
+ def run_for_each_massif(self, function, massif_names, **kwargs):
massif_names = massif_names if massif_names is not None else self.study.all_massif_names()
assert isinstance(massif_names, list)
- for massif_name in massif_names:
- self._plot_maxima_time_series(massif_name, show=show)
+ for i, massif_name in enumerate(massif_names):
+ function(massif_name, massif_id=i, **kwargs)
+
+ def plot_maxima_time_series(self, massif_names=None, show=False):
+ self.run_for_each_massif(self._plot_maxima_time_series, massif_names, show=show)
- def _plot_maxima_time_series(self, massif_name, show=False):
+ def _plot_maxima_time_series(self, massif_name, massif_id, show=False):
ax = plt.gca()
x = self.study.ordered_years
for altitude, study in list(self.altitude_to_study.items())[::-1]:
@@ -113,3 +118,55 @@ class AltitudesStudies(object):
ax.set_xlabel('years', fontsize=15)
self.show_or_save_to_file(plot_name=plot_name, show=show)
ax.clear()
+
+ def plot_mean_maxima_against_altitude(self, massif_names=None, show=False, std=False, change=False):
+ ax = plt.gca()
+ self.run_for_each_massif(self._plot_mean_maxima_against_altitude, massif_names, ax=ax, std=std, change=change)
+ ax.legend(prop={'size': 7}, ncol=3)
+ moment = 'Mean' if not std else 'Std'
+ if change is None:
+ moment += ' relative change for'
+ elif change:
+ moment += ' change for'
+ plot_name = '{} annual maxima of {}'.format(moment, SCM_STUDY_CLASS_TO_ABBREVIATION[self.study_class])
+ ax.set_ylabel('{} ({})'.format(plot_name, self.study.variable_unit), fontsize=15)
+ ax.set_xlabel('altitudes', fontsize=15)
+ lim_down, lim_up = ax.get_ylim()
+ lim_up += (lim_up - lim_down) / 3
+ ax.set_ylim([lim_down, lim_up])
+ ax.tick_params(axis='both', which='major', labelsize=13)
+ self.show_or_save_to_file(plot_name=plot_name, show=show)
+ ax.clear()
+
+ def _plot_mean_maxima_against_altitude(self, massif_name, massif_id, ax=None, std=False, change=False):
+ assert ax is not None
+ altitudes = []
+ mean_moment = []
+ for altitude, study in self.altitude_to_study.items():
+ if massif_name in study.massif_name_to_annual_maxima:
+ annual_maxima = study.massif_name_to_annual_maxima[massif_name]
+ function = np.std if std else np.mean
+ if change in [True, None]:
+ after = function(annual_maxima[31:])
+ before = function(annual_maxima[:31])
+ moment = after - before
+ if change is None:
+ moment /= before
+ else:
+ moment = function(annual_maxima)
+ mean_moment.append(moment)
+ altitudes.append(altitude)
+ self.plot_against_altitude(altitudes, ax, massif_id, massif_name, mean_moment)
+
+ def plot_against_altitude(self, altitudes, ax, massif_id, massif_name, mean_moment):
+ di = massif_id // 8
+ if di == 0:
+ linestyle = '-'
+ elif di == 1:
+ linestyle = 'dotted'
+ else:
+ linestyle = '--'
+ colors = list(mcolors.TABLEAU_COLORS)
+ colors[-3:-1] = [] # remove gray and olive
+ color = colors[massif_id % 8]
+ ax.plot(altitudes, mean_moment, color=color, linewidth=2, label=massif_name, linestyle=linestyle)
diff --git a/projects/contrasting_trends_in_snow_loads/altitudes_fit/main_altitudes_studies.py b/projects/contrasting_trends_in_snow_loads/altitudes_fit/main_altitudes_studies.py
index f7af11a9c12b821b0f959795b67ca6de027cc8a2..759b35c8a02b6fa236afff734adcda746389f19a 100644
--- a/projects/contrasting_trends_in_snow_loads/altitudes_fit/main_altitudes_studies.py
+++ b/projects/contrasting_trends_in_snow_loads/altitudes_fit/main_altitudes_studies.py
@@ -1,15 +1,26 @@
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day, SafranSnowfall3Days, \
+ SafranSnowfall5Days, SafranSnowfall7Days, SafranPrecipitation1Day, SafranPrecipitation3Days, \
+ SafranPrecipitation5Days, SafranPrecipitation7Days
from projects.contrasting_trends_in_snow_loads.altitudes_fit.altitudes_studies import AltitudesStudies
-def main_plots():
- altitudes = [900, 1200, 1500, 1800, 2100, 2400, 2700, 3000]
- study_class = SafranSnowfall1Day
- studies = AltitudesStudies(study_class, altitudes)
- # massifs_names = ['Vercors']
- # studies.plot_maxima_time_series(massif_names=massifs_names)
- studies.plot_maxima_time_series()
+def main_plots_moments():
+ altitudes = [300, 600, 900, 1200, 1500, 1800, 2100, 2400, 2700, 3000]
+ study_classes = [SafranSnowfall1Day, SafranSnowfall3Days, SafranSnowfall5Days, SafranSnowfall7Days][:2]
+ study_classes = [SafranPrecipitation1Day, SafranPrecipitation3Days, SafranPrecipitation5Days,
+ SafranPrecipitation7Days][:]
+ study_classes = [SafranSnowfall1Day, SafranPrecipitation1Day]
+
+ for study_class in study_classes:
+
+ studies = AltitudesStudies(study_class, altitudes)
+ # massifs_names = ['Vercors', 'Chartreuse', 'Belledonne']
+ # studies.plot_mean_maxima_against_altitude(massif_names=massifs_names, show=True)
+ # studies.plot_maxima_time_series()
+ for std in [True, False]:
+ for change in [True, False, None]:
+ studies.plot_mean_maxima_against_altitude(std=std, change=change)
if __name__ == '__main__':
- main_plots()
+ main_plots_moments()
diff --git a/projects/contrasting_trends_in_snow_loads/spatial trends/main_constrasting_result.py b/projects/contrasting_trends_in_snow_loads/spatial trends/main_constrasting_result.py
index 407958e6797b5b59dca648e43175de007959cacf..57d3cbea1a0522ac5fed6c52922a3abf0c4b53c4 100644
--- a/projects/contrasting_trends_in_snow_loads/spatial trends/main_constrasting_result.py
+++ b/projects/contrasting_trends_in_snow_loads/spatial trends/main_constrasting_result.py
@@ -70,8 +70,7 @@ def major_result():
altitudes = [300, 600, 900, 1200, 1500, 1800, 2100, 2400, 2700, 3000][:]
# altitudes = [1200, 1500, 1800, 2100, 2400, 2700][:]
snow_load_classes = [CrocusSnowLoad1Day, CrocusSnowLoad3Days, CrocusSnowLoad5Days, CrocusSnowLoad7Days][:]
- precipitation_classes = [SafranPrecipitation1Day, SafranPrecipitation3Days, SafranPrecipitation5Days,
- SafranPrecipitation7Days][:]
+ precipitation_classes = [SafranPrecipitation1Day, SafranPrecipitation3Days, SafranPrecipitation5Days, SafranPrecipitation7Days][:]
snowfall_classes = [SafranSnowfall1Day, SafranSnowfall3Days, SafranSnowfall5Days, SafranSnowfall7Days]
rainfall_classes = [SafranRainfall1Day, SafranRainfall3Days, SafranRainfall5Days, SafranRainfall7Days]
study_classes = precipitation_classes + snow_load_classes