diff --git a/extreme_data/meteo_france_data/scm_models_data/abstract_study.py b/extreme_data/meteo_france_data/scm_models_data/abstract_study.py
index 805de9df240561c04336b11be4e311e2c99b8d59..234c12ddd8ae3abfaa905b64aba3018dc311128b 100644
--- a/extreme_data/meteo_france_data/scm_models_data/abstract_study.py
+++ b/extreme_data/meteo_france_data/scm_models_data/abstract_study.py
@@ -200,8 +200,8 @@ class AbstractStudy(object):
@property
def all_daily_series(self) -> np.ndarray:
"""Return an array of approximate shape (total_number_of_days, 23) x """
- all_daily_series = np.concatenate([ time_serie_array
- for time_serie_array in self.year_to_daily_time_serie_array.values()])
+ all_daily_series = np.concatenate([time_serie_array
+ for time_serie_array in self.year_to_daily_time_serie_array.values()])
assert len(all_daily_series) == len(self.all_days)
return all_daily_series
@@ -211,6 +211,10 @@ class AbstractStudy(object):
def observations_annual_maxima(self) -> AnnualMaxima:
return AnnualMaxima(df_maxima_gev=pd.DataFrame(self.year_to_annual_maxima, index=self.study_massif_names))
+ @cached_property
+ def observations_annual_mean(self) -> pd.DataFrame:
+ return pd.DataFrame(self.year_to_annual_mean, index=self.study_massif_names)
+
def annual_maxima_and_years(self, massif_name) -> Tuple[np.ndarray, np.ndarray]:
df = self.observations_annual_maxima.df_maxima_gev
return df.loc[massif_name].values, np.array(df.columns)
@@ -223,6 +227,14 @@ class AbstractStudy(object):
year_to_annual_maxima[year] = time_serie.max(axis=0)
return year_to_annual_maxima
+ @cached_property
+ def year_to_annual_mean(self) -> OrderedDict:
+ # Map each year to an array of size nb_massif
+ year_to_annual_mean = OrderedDict()
+ for year, time_serie in self._year_to_max_daily_time_serie.items():
+ year_to_annual_mean[year] = time_serie.mean(axis=0)
+ return year_to_annual_mean
+
@cached_property
def year_to_annual_maxima_index(self) -> OrderedDict:
# Map each year to an array of size nb_massif
@@ -238,7 +250,7 @@ class AbstractStudy(object):
ordered_index = [self.year_to_annual_maxima_index[year][i] for year in years]
massif_name_to_annual_maxima_ordered_index[massif_name] = ordered_index
return massif_name_to_annual_maxima_ordered_index
-
+
@cached_property
def massif_name_to_annual_maxima(self):
massif_name_to_annual_maxima = OrderedDict()
@@ -390,7 +402,8 @@ class AbstractStudy(object):
@property
def missing_massif_name(self):
- return set(self.all_massif_names(self.reanalysis_path, self.dbf_filename)) - set(self.altitude_to_massif_names[self.altitude])
+ return set(self.all_massif_names(self.reanalysis_path, self.dbf_filename)) - set(
+ self.altitude_to_massif_names[self.altitude])
@property
def column_mask(self):
diff --git a/extreme_data/meteo_france_data/scm_models_data/safran/safran.py b/extreme_data/meteo_france_data/scm_models_data/safran/safran.py
index 7512559d2d0450b0ed74417cbd4af30848c6c209..e0fad5e0d7a9e650ef0f64c64d2052ed09074b56 100644
--- a/extreme_data/meteo_france_data/scm_models_data/safran/safran.py
+++ b/extreme_data/meteo_france_data/scm_models_data/safran/safran.py
@@ -8,14 +8,16 @@ from extreme_data.meteo_france_data.scm_models_data.abstract_variable import Abs
from extreme_data.meteo_france_data.scm_models_data.safran.cumulated_study import CumulatedStudy
from extreme_data.meteo_france_data.scm_models_data.safran.safran_variable import SafranSnowfallVariable, \
SafranRainfallVariable, SafranTemperatureVariable, SafranTotalPrecipVariable, \
- SafranNormalizedPrecipitationRateOnWetDaysVariable
+ SafranNormalizedPrecipitationRateOnWetDaysVariable, SafranNormalizedPrecipitationRateVariable
class Safran(AbstractStudy):
def __init__(self, variable_class: type, *args, **kwargs):
assert variable_class in [SafranSnowfallVariable, SafranRainfallVariable, SafranTemperatureVariable,
- SafranTotalPrecipVariable, SafranNormalizedPrecipitationRateOnWetDaysVariable]
+ SafranTotalPrecipVariable,
+ SafranNormalizedPrecipitationRateVariable,
+ SafranNormalizedPrecipitationRateOnWetDaysVariable]
super().__init__(variable_class, *args, **kwargs)
self.model_name = 'Safran'
@@ -87,6 +89,20 @@ class SafranRainfall7Days(SafranRainfall):
super().__init__(nb_consecutive_days=7, **kwargs)
+
+class SafranNormalizedPreciptationRate(CumulatedStudy, Safran):
+
+ def __init__(self, **kwargs):
+ super().__init__(SafranNormalizedPrecipitationRateVariable, **kwargs)
+
+ def load_variable_array(self, dataset):
+ return [np.array(dataset.variables[k]) for k in self.load_keyword()]
+
+ def instantiate_variable_object(self, variable_array) -> AbstractVariable:
+ variable_array_temperature, variable_array_snowfall, variable_array_rainfall = variable_array
+ return self.variable_class(variable_array_temperature,
+ variable_array_snowfall, variable_array_rainfall, self.nb_consecutive_days)
+
class SafranNormalizedPreciptationRateOnWetDays(CumulatedStudy, Safran):
def __init__(self, **kwargs):
diff --git a/extreme_data/meteo_france_data/scm_models_data/safran/safran_variable.py b/extreme_data/meteo_france_data/scm_models_data/safran/safran_variable.py
index 6c279cd3c67fe287a3237a95967a9700180235cc..66dcc8f541f51ac4415e715a9419fb86273278d5 100644
--- a/extreme_data/meteo_france_data/scm_models_data/safran/safran_variable.py
+++ b/extreme_data/meteo_france_data/scm_models_data/safran/safran_variable.py
@@ -77,6 +77,7 @@ class SafranRainfallVariable(SafranSnowfallVariable):
class SafranTotalPrecipVariable(AbstractVariable):
+ NAME = 'Precipitation'
def __init__(self, snow_variable_array, rain_variable_array, nb_consecutive_days):
super().__init__(None)
@@ -94,7 +95,10 @@ class SafranTotalPrecipVariable(AbstractVariable):
return self._daily_time_serie_array
-class SafranNormalizedPrecipitationRateOnWetDaysVariable(AbstractVariable):
+class SafranNormalizedPrecipitationRateVariable(AbstractVariable):
+ NAME = 'Normalized Precip'
+
+
def __init__(self, temperature_variable_array, snow_variable_array, rain_variable_array, nb_consecutive_days):
super().__init__(None)
@@ -103,8 +107,6 @@ class SafranNormalizedPrecipitationRateOnWetDaysVariable(AbstractVariable):
beta = 0.06
self._daily_time_serie_array = np.exp(-beta * temperature.daily_time_serie_array) \
* total_precipitation.daily_time_serie_array
- mask_for_nan_values = total_precipitation.daily_time_serie_array < 0.01
- self._daily_time_serie_array[mask_for_nan_values] = np.nan
@classmethod
def keyword(cls):
@@ -115,6 +117,15 @@ class SafranNormalizedPrecipitationRateOnWetDaysVariable(AbstractVariable):
return self._daily_time_serie_array
+class SafranNormalizedPrecipitationRateOnWetDaysVariable(SafranNormalizedPrecipitationRateVariable):
+
+ def __init__(self, temperature_variable_array, snow_variable_array, rain_variable_array, nb_consecutive_days):
+ super().__init__(temperature_variable_array, snow_variable_array, rain_variable_array, nb_consecutive_days)
+ total_precipitation = SafranTotalPrecipVariable(snow_variable_array, rain_variable_array, nb_consecutive_days)
+ mask_for_nan_values = total_precipitation.daily_time_serie_array < 0.01
+ self._daily_time_serie_array[mask_for_nan_values] = np.nan
+
+
class SafranTemperatureVariable(AbstractVariable):
NAME = 'Temperature'
UNIT = 'Celsius Degrees'
diff --git a/projects/contrasting_trends_in_snow_loads/main_spatial_relative_change_in_maxima_at_fixed_altitude.py b/projects/contrasting_trends_in_snow_loads/main_spatial_relative_change_in_maxima_at_fixed_altitude.py
deleted file mode 100644
index 91260c0b93074d2fc48be64ba2cd5db611d4e2e0..0000000000000000000000000000000000000000
--- a/projects/contrasting_trends_in_snow_loads/main_spatial_relative_change_in_maxima_at_fixed_altitude.py
+++ /dev/null
@@ -1,52 +0,0 @@
-from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoad3Days, \
- CrocusSnowLoadTotal
-from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall, SafranRainfall, SafranPrecipitation
-from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import \
- StudyVisualizer
-import matplotlib.pyplot as plt
-
-
-def density_wrt_altitude():
- save_to_file = True
- study_class = [SafranPrecipitation, SafranRainfall, SafranSnowfall, CrocusSnowLoad3Days, CrocusSnowLoadTotal][-2]
- altitudes = [900, 1200, 1500, 1800, 2100, 2400, 2700, 3000][::-1]
-
- for altitude in altitudes:
-
- ax = plt.gca()
- study = study_class(altitude=altitude)
- # study = study_class(altitude=altitude, nb_consecutive_days=3)
- massif_name_to_value = {}
- for massif_name in study.study_massif_names:
- s = study.observations_annual_maxima.df_maxima_gev.loc[massif_name]
- year_limit = 1987
- df_before, df_after = s.loc[:year_limit], s.loc[year_limit + 1:]
- df_before, df_after = df_before.mean(), df_after.mean()
- # df_before, df_after = df_before.median(), df_after.median()
- relative_change_value = 100 * (df_after - df_before) / df_before
- massif_name_to_value[massif_name] = relative_change_value
- print(massif_name_to_value)
- # Plot
- # massif_name_to_value = {m: i for i, m in enumerate(study.study_massif_names)}
- max_values = max([abs(e) for e in massif_name_to_value.values()]) + 5
- print(max_values)
- variable_name = study.variable_name
- study.visualize_study(ax=ax, massif_name_to_value=massif_name_to_value,
- vmin=-max_values, vmax=max_values,
- add_colorbar=True,
- replace_blue_by_white=False,
- show=False,
- label='Relative changes in mean annual maxima\n'
- 'of {}\n between 1958-1987 and 1988-2017\n at {}m (%)\n'
- ''.format(variable_name, study.altitude)
- )
- study_visualizer = StudyVisualizer(study, save_to_file=save_to_file)
- study_visualizer.plot_name = 'relative_changes_in_maxima'
- study_visualizer.show_or_save_to_file()
- ax.clear()
- plt.close()
-
-
-if __name__ == '__main__':
- density_wrt_altitude()
- # test()
diff --git a/projects/contrasting_trends_in_snow_loads/spatial trends/__init__.py b/projects/contrasting_trends_in_snow_loads/spatial trends/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/projects/contrasting_trends_in_snow_loads/main_result.py b/projects/contrasting_trends_in_snow_loads/spatial trends/main_result.py
similarity index 88%
rename from projects/contrasting_trends_in_snow_loads/main_result.py
rename to projects/contrasting_trends_in_snow_loads/spatial trends/main_result.py
index ec17b4e187a170db73d9acc650a09f4448d94fe2..9df6f230e024e82169b400fd5ec5f3860b2a6579 100644
--- a/projects/contrasting_trends_in_snow_loads/main_result.py
+++ b/projects/contrasting_trends_in_snow_loads/spatial trends/main_result.py
@@ -2,13 +2,13 @@ from multiprocessing.pool import Pool
import matplotlib as mpl
-from extreme_data.meteo_france_data.scm_models_data.utils import SeasonForTheMaxima
-from extreme_trend.visualizers.utils import load_altitude_to_visualizer
-
mpl.use('Agg')
mpl.rcParams['text.usetex'] = True
mpl.rcParams['text.latex.preamble'] = [r'\usepackage{amsmath}']
+from extreme_trend.visualizers.utils import load_altitude_to_visualizer
+from projects.exceeding_snow_loads.section_results.plot_trend_curves import plot_trend_map
+
from extreme_data.meteo_france_data.scm_models_data.abstract_study import AbstractStudy
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranPrecipitation3Days, \
SafranPrecipitation1Day, SafranPrecipitation5Days, SafranPrecipitation7Days, SafranSnowfall1Day, \
@@ -19,11 +19,8 @@ from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusS
CrocusSnowLoad5Days, CrocusSnowLoad7Days, CrocusSnowLoad1Day
from extreme_fit.model.result_from_model_fit.result_from_extremes.confidence_interval_method import \
ConfidenceIntervalMethodFromExtremes
-from projects.contrasting_trends_in_snow_loads.plot_contrasting_trend_curves import plot_contrasting_trend_curves, \
- plot_contrasting_trend_curves_massif
from projects.exceeding_snow_loads.section_results.main_result_trends_and_return_levels import \
compute_minimized_aic
-from root_utils import NB_CORES
def intermediate_result(altitudes, massif_names=None,
@@ -58,7 +55,9 @@ def intermediate_result(altitudes, massif_names=None,
# Plots
# plot_contrasting_trend_curves(altitude_to_visualizer, all_regions=True)
- plot_contrasting_trend_curves_massif(altitude_to_visualizer, all_regions=True)
+ # plot_contrasting_trend_curves_massif(altitude_to_visualizer, all_regions=True)
+ # plot_trend_curves(altitude_to_visualizer)
+ plot_trend_map(altitude_to_visualizer)
def major_result():
@@ -68,15 +67,16 @@ def major_result():
model_subsets_for_uncertainty = None
# altitudes = paper_altitudes
# altitudes = paper_altitudes
- altitudes = [900, 1200, 1500, 1800, 2100, 2400, 2700, 3000][:]
+ # altitudes = [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][:]
snowfall_classes = [SafranSnowfall1Day, SafranSnowfall3Days, SafranSnowfall5Days, SafranSnowfall7Days]
rainfall_classes = [SafranRainfall1Day, SafranRainfall3Days, SafranRainfall5Days, SafranRainfall7Days]
study_classes = precipitation_classes + snow_load_classes
- # study_classes = snowfall_classes + rainfall_classes
- for study_class in snowfall_classes[:1]:
+ study_classes = snowfall_classes + rainfall_classes
+ for study_class in precipitation_classes:
intermediate_result(altitudes, massif_names, model_subsets_for_uncertainty,
uncertainty_methods, study_class, multiprocessing=True)
diff --git a/projects/contrasting_trends_in_snow_loads/spatial trends/main_spatial_relative_change_in_maxima_at_fixed_altitude.py b/projects/contrasting_trends_in_snow_loads/spatial trends/main_spatial_relative_change_in_maxima_at_fixed_altitude.py
new file mode 100644
index 0000000000000000000000000000000000000000..60a7a867f1be65c3273aacd34d4c11ccdaeed771
--- /dev/null
+++ b/projects/contrasting_trends_in_snow_loads/spatial trends/main_spatial_relative_change_in_maxima_at_fixed_altitude.py
@@ -0,0 +1,70 @@
+import pandas as pd
+from extreme_data.meteo_france_data.scm_models_data.crocus.crocus import CrocusSnowLoad3Days, \
+ CrocusSnowLoadTotal
+from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall, SafranRainfall, \
+ SafranPrecipitation, SafranPrecipitation1Day, SafranSnowfall1Day, SafranTemperature, \
+ SafranNormalizedPreciptationRateOnWetDays, SafranNormalizedPreciptationRate
+from extreme_data.meteo_france_data.scm_models_data.safran.safran_variable import \
+ SafranNormalizedPrecipitationRateOnWetDaysVariable
+from extreme_data.meteo_france_data.scm_models_data.utils import SeasonForTheMaxima
+from extreme_data.meteo_france_data.scm_models_data.visualization.study_visualizer import \
+ StudyVisualizer
+import matplotlib.pyplot as plt
+
+
+def relative_change_in_maxima_wrt_altitude():
+ save_to_file = True
+ study_class = [SafranSnowfall1Day, SafranPrecipitation1Day, SafranPrecipitation, SafranRainfall,
+ SafranSnowfall, CrocusSnowLoad3Days, CrocusSnowLoadTotal,
+ SafranTemperature, SafranNormalizedPreciptationRateOnWetDays,
+ SafranNormalizedPreciptationRate][-1]
+ altitudes = [300, 600, 900, 1200, 1500, 1800, 2100, 2400, 2700, 3000][::-1]
+ relative = False
+
+ for altitude in altitudes:
+
+ ax = plt.gca()
+ study = study_class(altitude=altitude, season=SeasonForTheMaxima.winter_extended)
+ # study = study_class(altitude=altitude, nb_consecutive_days=3)
+ massif_name_to_value = {}
+ for massif_name in study.study_massif_names:
+ if study_class is SafranTemperature:
+ s = study.observations_annual_mean.loc[massif_name]
+ else:
+ s = study.observations_annual_maxima.df_maxima_gev.loc[massif_name]
+ year_limit = 1989
+ df_before, df_after = s.loc[:year_limit], s.loc[year_limit + 1:]
+ df_before, df_after = df_before.mean(), df_after.mean()
+ # df_before, df_after = df_before.median(), df_after.median()
+ if relative:
+ change_value = 100 * (df_after - df_before) / df_before
+ else:
+ change_value = (df_after - df_before)
+ massif_name_to_value[massif_name] = change_value
+ print(massif_name_to_value)
+ # Plot
+ # massif_name_to_value = {m: i for i, m in enumerate(study.study_massif_names)}
+ max_values = max([abs(e) for e in massif_name_to_value.values()]) * 1.05
+ print(max_values)
+ variable_name = study.variable_name
+ prefix = 'Relative' if relative else ''
+ str_season = str(study.season).split('.')[-1]
+ study.visualize_study(ax=ax, massif_name_to_value=massif_name_to_value,
+ vmin=-max_values, vmax=max_values,
+ add_colorbar=True,
+ replace_blue_by_white=False,
+ show=False,
+ label='{} changes in mean {} maxima\n'
+ 'of {}\n between 1959-1989 and 1990-2019\n at {}m (%)\n'
+ ''.format(prefix, str_season, variable_name, study.altitude)
+ )
+ study_visualizer = StudyVisualizer(study, save_to_file=save_to_file)
+ study_visualizer.plot_name = '{}_changes_in_maxima'.format(prefix)
+ study_visualizer.show_or_save_to_file()
+ ax.clear()
+ plt.close()
+
+
+if __name__ == '__main__':
+ relative_change_in_maxima_wrt_altitude()
+ # test()
diff --git a/projects/contrasting_trends_in_snow_loads/plot_contrasting_trend_curves.py b/projects/contrasting_trends_in_snow_loads/spatial trends/plot_contrasting_trend_curves.py
similarity index 100%
rename from projects/contrasting_trends_in_snow_loads/plot_contrasting_trend_curves.py
rename to projects/contrasting_trends_in_snow_loads/spatial trends/plot_contrasting_trend_curves.py