From a3dd9ba5e13000fa0b3def0d8a5e28fc0db42385 Mon Sep 17 00:00:00 2001
From: Le Roux Erwan <erwan.le-roux@irstea.fr>
Date: Fri, 12 Feb 2021 18:00:56 +0100
Subject: [PATCH] [projections] implement preliminary plots for the adamont v2
data.
---
.../adamont_data/adamont_gcm_rcm_couples.py | 102 +++----
.../adamont_data/adamont_scenario.py | 21 +-
.../adamont_data/adamont_studies.py | 9 +-
.../scm_models_data/abstract_study.py | 1 -
.../preliminary_analysis.py | 265 ++++++++++--------
.../comparison_historical_visualizer.py | 6 +-
.../comparison_with_scm/comparison_plot.py | 3 +-
.../test_adamont_study.py | 21 +-
8 files changed, 241 insertions(+), 187 deletions(-)
diff --git a/extreme_data/meteo_france_data/adamont_data/adamont_gcm_rcm_couples.py b/extreme_data/meteo_france_data/adamont_data/adamont_gcm_rcm_couples.py
index 2f709304..4da9dab4 100644
--- a/extreme_data/meteo_france_data/adamont_data/adamont_gcm_rcm_couples.py
+++ b/extreme_data/meteo_france_data/adamont_data/adamont_gcm_rcm_couples.py
@@ -1,54 +1,3 @@
-gcm_rcm_couple_to_color = {
- ('CNRM-CM5', 'CCLM4-8-17'): 'darkred',
- ('CNRM-CM5', 'RCA4'): 'red',
- ('CNRM-CM5', 'ALADIN53'): 'lightcoral',
- # Adamont v2
- ('CNRM-CM5', 'ALADIN63'): 'orangered',
- ('CNRM-CM5', 'RACMO22E'): 'firebrick',
-
- ('MPI-ESM-LR', 'CCLM4-8-17'): 'darkblue',
- ('MPI-ESM-LR', 'RCA4'): 'blue',
- ('MPI-ESM-LR', 'REMO2009'): 'lightblue',
-
- ('HadGEM2-ES', 'CCLM4-8-17'): 'darkgreen',
- ('HadGEM2-ES', 'RCA4'): 'green',
- ('HadGEM2-ES', 'RACMO22E'): 'lightgreen',
- # Adamont v2
- ('HadGEM2-ES', 'RegCM4-6'): 'chartreuse',
-
- ('EC-EARTH', 'CCLM4-8-17'): 'darkviolet',
- ('EC-EARTH', 'RCA4'): 'violet',
- # adamont v2
- ('EC-EARTH', 'RACMO22E'): 'mediumorchid',
-
- ('IPSL-CM5A-MR', 'WRF331F'): 'darkorange',
- ('IPSL-CM5A-MR', 'RCA4'): 'orange',
- # adamont v2
- ('IPSL-CM5A-MR', 'WRF381P'): 'moccasin',
-
- ('NorESM1-M', 'HIRHAM5'): 'yellow',
- # adamont v2
- ('NorESM1-M', 'REMO2015'): 'gold',
-
- # adamont v2
- ('ERAINT', 'ALADIN62'): 'deeppink'
-}
-
-gcm_to_color = {
- 'CNRM-CM5': 'red',
-
- 'MPI-ESM-LR': 'blue',
-
- 'HadGEM2-ES': 'green',
-
- 'EC-EARTH': 'violet',
-
- 'IPSL-CM5A-MR': 'orange',
-
- 'NorESM1-M': 'yellow',
-}
-
-
def get_year_min_and_year_max_used_to_compute_quantile(gcm):
if gcm == 'HadGEM2-ES':
@@ -136,5 +85,56 @@ gcm_rcm_couple_adamont_v2_to_full_name = {
# ('ERAINT', 'ALADIN62'): 'CNRM-ALADIN62_ECMWF-ERAINT',
}
+gcm_rcm_couple_to_color = {
+ ('CNRM-CM5', 'CCLM4-8-17'): 'darkred',
+ ('CNRM-CM5', 'RCA4'): 'red',
+ ('CNRM-CM5', 'ALADIN53'): 'lightcoral',
+ # Adamont v2
+ ('CNRM-CM5', 'ALADIN63'): 'orangered',
+ ('CNRM-CM5', 'RACMO22E'): 'firebrick',
+
+ ('MPI-ESM-LR', 'CCLM4-8-17'): 'darkblue',
+ ('MPI-ESM-LR', 'RCA4'): 'blue',
+ ('MPI-ESM-LR', 'REMO2009'): 'lightblue',
+
+ ('HadGEM2-ES', 'CCLM4-8-17'): 'darkgreen',
+ ('HadGEM2-ES', 'RCA4'): 'green',
+ ('HadGEM2-ES', 'RACMO22E'): 'lightgreen',
+ # Adamont v2
+ ('HadGEM2-ES', 'RegCM4-6'): 'chartreuse',
+
+ ('EC-EARTH', 'CCLM4-8-17'): 'darkviolet',
+ ('EC-EARTH', 'RCA4'): 'violet',
+ # adamont v2
+ ('EC-EARTH', 'RACMO22E'): 'mediumorchid',
+
+ ('IPSL-CM5A-MR', 'WRF331F'): 'darkorange',
+ ('IPSL-CM5A-MR', 'RCA4'): 'orange',
+ # adamont v2
+ ('IPSL-CM5A-MR', 'WRF381P'): 'moccasin',
+
+ ('NorESM1-M', 'HIRHAM5'): 'yellow',
+ # adamont v2
+ ('NorESM1-M', 'REMO2015'): 'gold',
+
+ # adamont v2
+ # ('ERAINT', 'ALADIN62'): 'deeppink'
+}
+
+gcm_to_color = {
+ 'CNRM-CM5': 'red',
+
+ 'MPI-ESM-LR': 'blue',
+
+ 'HadGEM2-ES': 'green',
+
+ 'EC-EARTH': 'violet',
+
+ 'IPSL-CM5A-MR': 'orange',
+
+ 'NorESM1-M': 'yellow',
+}
+
+
if __name__ == '__main__':
print(get_gcm_list(adamont_version=2))
diff --git a/extreme_data/meteo_france_data/adamont_data/adamont_scenario.py b/extreme_data/meteo_france_data/adamont_data/adamont_scenario.py
index 155e82eb..c53dc397 100644
--- a/extreme_data/meteo_france_data/adamont_data/adamont_scenario.py
+++ b/extreme_data/meteo_france_data/adamont_data/adamont_scenario.py
@@ -1,7 +1,6 @@
from enum import Enum
-from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import gcm_rcm_couple_to_color, \
- get_gcm_rcm_couple_adamont_to_full_name
+from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import get_gcm_rcm_couple_adamont_to_full_name
class AdamontScenario(Enum):
@@ -13,6 +12,7 @@ class AdamontScenario(Enum):
adamont_scenarios_real = [AdamontScenario.histo, AdamontScenario.rcp26, AdamontScenario.rcp45, AdamontScenario.rcp85]
+rcp_scenarios = [AdamontScenario.rcp26, AdamontScenario.rcp45, AdamontScenario.rcp85]
def get_linestyle_from_scenario(adamont_scenario):
@@ -65,6 +65,20 @@ def get_year_min(adamont_scenario, gcm_rcm_couple):
return year_min
+def get_gcm_rcm_couple_adamont_version_2(scenario):
+ s = set(list(get_gcm_rcm_couple_adamont_to_full_name(version=2).keys()))
+ scenario_to_list_to_remove = {
+ AdamontScenario.rcp26: [('EC-EARTH', 'CCLM4-8-17'), ('CNRM-CM5', 'ALADIN53'), ('CNRM-CM5', 'RCA4'),
+ ('MPI-ESM-LR', 'RCA4'), ('HadGEM2-ES', 'CCLM4-8-17'), ('IPSL-CM5A-MR', 'RCA4'),
+ ('CNRM-CM5', 'CCLM4-8-17'), ('IPSL-CM5A-MR', 'WRF381P'), ('NorESM1-M', 'HIRHAM5'),
+ ('IPSL-CM5A-MR', 'WRF331F'), ('HadGEM2-ES', 'RCA4')],
+ AdamontScenario.rcp45: [('NorESM1-M', 'REMO2015'), ('HadGEM2-ES', 'RegCM4-6')],
+ AdamontScenario.rcp85: [],
+ }
+ for couple_to_remove in scenario_to_list_to_remove[scenario]:
+ s.remove(couple_to_remove)
+ return list(s)
+
def load_gcm_rcm_couples(year_min=None, year_max=None,
adamont_scenario=AdamontScenario.histo,
adamont_version=2):
@@ -104,6 +118,3 @@ def scenario_to_real_scenarios(adamont_scenario):
def gcm_rcm_couple_to_str(gcm_rcm_couple):
return ' / '.join(gcm_rcm_couple)
-
-def get_color_from_gcm_rcm_couple(gcm_rcm_couple):
- return gcm_rcm_couple_to_color[gcm_rcm_couple]
diff --git a/extreme_data/meteo_france_data/adamont_data/adamont_studies.py b/extreme_data/meteo_france_data/adamont_data/adamont_studies.py
index fab2b67b..6f494a3e 100644
--- a/extreme_data/meteo_france_data/adamont_data/adamont_studies.py
+++ b/extreme_data/meteo_france_data/adamont_data/adamont_studies.py
@@ -6,8 +6,9 @@ import numpy as np
from cached_property import cached_property
from extreme_data.meteo_france_data.adamont_data.abstract_adamont_study import AbstractAdamontStudy
-from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import get_gcm_rcm_couple_adamont_to_full_name
-from extreme_data.meteo_france_data.adamont_data.adamont_scenario import gcm_rcm_couple_to_str, get_color_from_gcm_rcm_couple
+from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import get_gcm_rcm_couple_adamont_to_full_name, \
+ gcm_rcm_couple_to_color
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import gcm_rcm_couple_to_str
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, ADAMONT_STUDY_CLASS_TO_ABBREVIATION
@@ -59,8 +60,8 @@ class AdamontStudies(object):
for gcm_rcm_couple, study in list(self.gcm_rcm_couple_to_study.items())[::-1]:
if massif_name in study.massif_name_to_annual_maxima:
y = study.massif_name_to_annual_maxima[massif_name]
- label = gcm_rcm_couple_to_str(gcm_rcm_couple)
- color = get_color_from_gcm_rcm_couple(gcm_rcm_couple)
+ label = gcm_rcm_couple_to_color[gcm_rcm_couple]
+ color = gcm_rcm_couple_to_color[gcm_rcm_couple]
ax.plot(x, y, linewidth=linewidth, label=label, color=color)
if scm_study is None:
y = np.array([study.massif_name_to_annual_maxima[massif_name] for study in self.study_list
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 8ce54c7b..3cd4d53b 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
@@ -891,7 +891,6 @@ class AbstractStudy(object):
def _massif_name_to_stationary_gev_params_and_confidence(self, quantile_level=None,
confidence_interval_based_on_delta_method=True):
""" at least 90% of values must be above zero"""
- print('study computation')
massif_name_to_stationary_gev_params = {}
massif_name_to_confidence = {}
for massif_name, annual_maxima in self.massif_name_to_annual_maxima.items():
diff --git a/projects/altitude_spatial_model/preliminary_analysis.py b/projects/altitude_spatial_model/preliminary_analysis.py
index 6c7f5781..a31dcba5 100644
--- a/projects/altitude_spatial_model/preliminary_analysis.py
+++ b/projects/altitude_spatial_model/preliminary_analysis.py
@@ -1,9 +1,15 @@
import matplotlib.pyplot as plt
+import os.path as op
from itertools import chain
import numpy as np
from cached_property import cached_property
+from extreme_data.meteo_france_data.adamont_data.abstract_adamont_study import AbstractAdamontStudy
+from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import AdamontSnowfall
+from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import gcm_rcm_couple_adamont_v2_to_full_name
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import adamont_scenarios_real, \
+ get_gcm_rcm_couple_adamont_version_2, rcp_scenarios
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
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
@@ -25,7 +31,7 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
self.altitudes_for_temporal_hypothesis = [600, 1500, 2400, 3300]
def plot_gev_params_against_altitude(self):
- legend = True
+ legend = False
elevation_as_xaxis = False
param_names = GevParams.PARAM_NAMES + [100]
if legend:
@@ -110,6 +116,8 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
tight_layout = False
plot_name = '{} change with altitude'.format(param_name)
+ if isinstance(self.study, AbstractAdamontStudy):
+ plot_name = op.join(plot_name, gcm_rcm_couple_adamont_v2_to_full_name[self.study.gcm_rcm_couple])
# # Display the legend
if legend:
@@ -142,6 +150,10 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
idx = 8 if param_name == GevParams.SHAPE else 1
the = ' the' if param_name in GevParams.PARAM_NAMES else ''
label = 'Elevation gradient for\n{} {}'.format(the, value_label[:-idx] + '/100m)')
+ plot_name = label.replace('/', ' every ')
+ if isinstance(self.study, AbstractAdamontStudy):
+ plot_name = op.join(plot_name, gcm_rcm_couple_adamont_v2_to_full_name[self.study.gcm_rcm_couple])
+
gev_param_name_to_graduation = {
GevParams.LOC: 0.5,
GevParams.SCALE: 0.1,
@@ -153,7 +165,7 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
visualizer.plot_map(cmap=plt.cm.coolwarm,
graduation=gev_param_name_to_graduation[param_name],
label=label, massif_name_to_value=massif_name_to_linear_coef,
- plot_name=label.replace('/', ' every '), add_x_label=False,
+ plot_name=plot_name, add_x_label=False,
negative_and_positive_values=param_name == GevParams.SHAPE,
add_colorbar=True,
massif_name_to_text=massif_name_to_r2_score,
@@ -185,130 +197,143 @@ class PointwiseGevStudyVisualizer(AltitudesStudies):
# Plot against the time
- @property
- def year_min_and_max_list(self):
- l = []
- year_min, year_max = 1959, 1989
- for shift in range(0, 7):
- l.append((year_min + 5 * shift, year_max + 5 * shift))
- return l
-
- @property
- def min_years_for_plot_x_axis(self):
- return [c[0] for c in self.year_min_and_max_list]
-
- def plot_gev_params_against_time_for_all_altitudes(self):
- for altitude in self.altitudes_for_temporal_hypothesis:
- self._plot_gev_params_against_time_for_one_altitude(altitude)
-
- def _plot_gev_params_against_time_for_one_altitude(self, altitude):
- for param_name in GevParams.PARAM_NAMES[:]:
- ax = plt.gca()
- for massif_name in self.study.all_massif_names()[:]:
- self._plot_gev_params_against_time_for_one_altitude_and_one_massif(ax, massif_name, param_name,
- altitude,
- massif_name_as_labels=True)
- ax.legend(prop={'size': 7}, ncol=3)
- ax.set_xlabel('Year')
- ax.set_ylabel(param_name + ' for altitude={}'.format(altitude))
- xlabels = ['-'.join([str(e) for e in t]) for t in self.year_min_and_max_list]
- ax.set_xticks(self.min_years_for_plot_x_axis)
- ax.set_xticklabels(xlabels)
- # ax.tick_params(labelsize=5)
- plot_name = '{} change /all with years /for altitude={}'.format(param_name, altitude)
- self.show_or_save_to_file(plot_name, no_title=True, tight_layout=True, show=False)
- ax.clear()
- plt.close()
-
- def _plot_gev_params_against_time_for_one_altitude_and_one_massif(self, ax, massif_name, param_name, altitude,
- massif_name_as_labels):
- study = self.altitude_to_study[altitude]
- if massif_name in study.study_massif_names:
- gev_params_list = study.massif_name_to_gev_param_list(self.year_min_and_max_list)[massif_name]
- params = [gev_params.to_dict()[param_name] for gev_params in gev_params_list]
- # params = np.array(params)
- # param_normalized = params / np.sqrt(np.sum(np.power(params, 2)))
- # confidence_intervals = [gev_params.param_name_to_confidence_interval[param_name] for gev_params in
- # gev_params_list]
- massif_id = self.study.all_massif_names().index(massif_name)
- plot_against_altitude(self.min_years_for_plot_x_axis, ax, massif_id, massif_name, params,
- altitude, False,
- massif_name_as_labels)
- # plot_against_altitude(self.years, ax, massif_id, massif_name, confidence_intervals, True)
-
- # plot for each massif against the time
-
- def plot_gev_params_against_time_for_all_massifs(self):
- for massif_name in self.study.all_massif_names():
- self._plot_gev_params_against_time_for_one_massif(massif_name)
-
- def _plot_gev_params_against_time_for_one_massif(self, massif_name):
- for param_name in GevParams.PARAM_NAMES[:]:
- ax = plt.gca()
- for altitude in self.altitudes_for_temporal_hypothesis:
- self._plot_gev_params_against_time_for_one_altitude_and_one_massif(ax, massif_name, param_name,
- altitude,
- massif_name_as_labels=False)
- ax.legend()
- ax.set_xlabel('Year')
- ax.set_ylabel(param_name + ' for {}'.format(massif_name))
- xlabels = ['-'.join([str(e) for e in t]) for t in self.year_min_and_max_list]
- ax.set_xticks(self.min_years_for_plot_x_axis)
- ax.set_xticklabels(xlabels)
- plot_name = '{} change /with years /for {}'.format(param_name, massif_name)
- self.show_or_save_to_file(plot_name, no_title=True, tight_layout=True, show=False)
- ax.clear()
- plt.close()
-
- # PLot for each massif the derivative against the time for each altitude
-
- def plot_time_derivative_against_time(self):
- for param_name in GevParams.PARAM_NAMES[:]:
- ax = plt.gca()
- for massif_name in self.study.all_massif_names()[:]:
- self._plot_gev_params_time_derivative_against_altitude_one_massif(ax, massif_name, param_name)
- ax.legend(prop={'size': 7}, ncol=3)
- ax.set_xlabel('Altitude')
- ax.set_ylabel(param_name)
- plot_name = '{} change /time derivative with altitude'.format(param_name)
- self.show_or_save_to_file(plot_name, no_title=True, tight_layout=True, show=False)
- ax.clear()
- plt.close()
-
- def _plot_gev_params_time_derivative_against_altitude_one_massif(self, ax, massif_name, param_name):
- altitudes = []
- time_derivatives = []
- for altitude, study in self.altitude_to_study.items():
- if (massif_name in study.study_massif_names) and ("Mercan" not in massif_name):
- gev_params_list = study.massif_name_to_gev_param_list(self.year_min_and_max_list)[massif_name]
- params = [gev_params.to_dict()[param_name] for gev_params in gev_params_list]
- x = list(range(len(params)))
- y = params
- a = self.get_robust_slope(x, y)
- time_derivatives.append(a)
- altitudes.append(altitude)
- massif_id = self.study.all_massif_names().index(massif_name)
- plot_against_altitude(altitudes, ax, massif_id, massif_name, time_derivatives, fill=False)
-
- def get_robust_slope(self, x, y):
- a, *_ = fit_linear_regression(x=x, y=y)
- a_list = [a]
- for i in range(len(x)):
- x_copy, y_copy = x[:], y[:]
- x_copy.pop(i)
- y_copy.pop(i)
- a, *_ = fit_linear_regression(x=x_copy, y=y_copy)
- a_list.append(a)
- return np.mean(np.array(a_list))
-
-
-if __name__ == '__main__':
+ # @property
+ # def year_min_and_max_list(self):
+ # l = []
+ # year_min, year_max = 1959, 1989
+ # for shift in range(0, 7):
+ # l.append((year_min + 5 * shift, year_max + 5 * shift))
+ # return l
+
+ # @property
+ # def min_years_for_plot_x_axis(self):
+ # return [c[0] for c in self.year_min_and_max_list]
+ #
+ # def plot_gev_params_against_time_for_all_altitudes(self):
+ # for altitude in self.altitudes_for_temporal_hypothesis:
+ # self._plot_gev_params_against_time_for_one_altitude(altitude)
+ #
+ # def _plot_gev_params_against_time_for_one_altitude(self, altitude):
+ # for param_name in GevParams.PARAM_NAMES[:]:
+ # ax = plt.gca()
+ # for massif_name in self.study.all_massif_names()[:]:
+ # self._plot_gev_params_against_time_for_one_altitude_and_one_massif(ax, massif_name, param_name,
+ # altitude,
+ # massif_name_as_labels=True)
+ # ax.legend(prop={'size': 7}, ncol=3)
+ # ax.set_xlabel('Year')
+ # ax.set_ylabel(param_name + ' for altitude={}'.format(altitude))
+ # xlabels = ['-'.join([str(e) for e in t]) for t in self.year_min_and_max_list]
+ # ax.set_xticks(self.min_years_for_plot_x_axis)
+ # ax.set_xticklabels(xlabels)
+ # # ax.tick_params(labelsize=5)
+ # plot_name = '{} change /all with years /for altitude={}'.format(param_name, altitude)
+ # self.show_or_save_to_file(plot_name, no_title=True, tight_layout=True, show=False)
+ # ax.clear()
+ # plt.close()
+ #
+ # def _plot_gev_params_against_time_for_one_altitude_and_one_massif(self, ax, massif_name, param_name, altitude,
+ # massif_name_as_labels):
+ # study = self.altitude_to_study[altitude]
+ # if massif_name in study.study_massif_names:
+ # gev_params_list = study.massif_name_to_gev_param_list(self.year_min_and_max_list)[massif_name]
+ # params = [gev_params.to_dict()[param_name] for gev_params in gev_params_list]
+ # # params = np.array(params)
+ # # param_normalized = params / np.sqrt(np.sum(np.power(params, 2)))
+ # # confidence_intervals = [gev_params.param_name_to_confidence_interval[param_name] for gev_params in
+ # # gev_params_list]
+ # massif_id = self.study.all_massif_names().index(massif_name)
+ # plot_against_altitude(self.min_years_for_plot_x_axis, ax, massif_id, massif_name, params,
+ # altitude, False,
+ # massif_name_as_labels)
+ # # plot_against_altitude(self.years, ax, massif_id, massif_name, confidence_intervals, True)
+ #
+ # # plot for each massif against the time
+ #
+ # def plot_gev_params_against_time_for_all_massifs(self):
+ # for massif_name in self.study.all_massif_names():
+ # self._plot_gev_params_against_time_for_one_massif(massif_name)
+ #
+ # def _plot_gev_params_against_time_for_one_massif(self, massif_name):
+ # for param_name in GevParams.PARAM_NAMES[:]:
+ # ax = plt.gca()
+ # for altitude in self.altitudes_for_temporal_hypothesis:
+ # self._plot_gev_params_against_time_for_one_altitude_and_one_massif(ax, massif_name, param_name,
+ # altitude,
+ # massif_name_as_labels=False)
+ # ax.legend()
+ # ax.set_xlabel('Year')
+ # ax.set_ylabel(param_name + ' for {}'.format(massif_name))
+ # xlabels = ['-'.join([str(e) for e in t]) for t in self.year_min_and_max_list]
+ # ax.set_xticks(self.min_years_for_plot_x_axis)
+ # ax.set_xticklabels(xlabels)
+ # plot_name = '{} change /with years /for {}'.format(param_name, massif_name)
+ # self.show_or_save_to_file(plot_name, no_title=True, tight_layout=True, show=False)
+ # ax.clear()
+ # plt.close()
+ #
+ # # PLot for each massif the derivative against the time for each altitude
+ #
+ # def plot_time_derivative_against_time(self):
+ # for param_name in GevParams.PARAM_NAMES[:]:
+ # ax = plt.gca()
+ # for massif_name in self.study.all_massif_names()[:]:
+ # self._plot_gev_params_time_derivative_against_altitude_one_massif(ax, massif_name, param_name)
+ # ax.legend(prop={'size': 7}, ncol=3)
+ # ax.set_xlabel('Altitude')
+ # ax.set_ylabel(param_name)
+ # plot_name = '{} change /time derivative with altitude'.format(param_name)
+ # self.show_or_save_to_file(plot_name, no_title=True, tight_layout=True, show=False)
+ # ax.clear()
+ # plt.close()
+ #
+ # def _plot_gev_params_time_derivative_against_altitude_one_massif(self, ax, massif_name, param_name):
+ # altitudes = []
+ # time_derivatives = []
+ # for altitude, study in self.altitude_to_study.items():
+ # if (massif_name in study.study_massif_names) and ("Mercan" not in massif_name):
+ # gev_params_list = study.massif_name_to_gev_param_list(self.year_min_and_max_list)[massif_name]
+ # params = [gev_params.to_dict()[param_name] for gev_params in gev_params_list]
+ # x = list(range(len(params)))
+ # y = params
+ # a = self.get_robust_slope(x, y)
+ # time_derivatives.append(a)
+ # altitudes.append(altitude)
+ # massif_id = self.study.all_massif_names().index(massif_name)
+ # plot_against_altitude(altitudes, ax, massif_id, massif_name, time_derivatives, fill=False)
+ #
+ # def get_robust_slope(self, x, y):
+ # a, *_ = fit_linear_regression(x=x, y=y)
+ # a_list = [a]
+ # for i in range(len(x)):
+ # x_copy, y_copy = x[:], y[:]
+ # x_copy.pop(i)
+ # y_copy.pop(i)
+ # a, *_ = fit_linear_regression(x=x_copy, y=y_copy)
+ # a_list.append(a)
+ # return np.mean(np.array(a_list))
+
+def main_paper2():
altitudes = list(chain.from_iterable(altitudes_for_groups))
# altitudes = paper_altitudes
altitudes = [1800, 2100]
visualizer = PointwiseGevStudyVisualizer(SafranSnowfall1Day, altitudes=altitudes)
visualizer.plot_gev_params_against_altitude()
+
# visualizer.plot_gev_params_against_time_for_all_altitudes()
# visualizer.plot_gev_params_against_time_for_all_massifs()
# visualizer.plot_time_derivative_against_time()
+
+
+def main_paper3():
+ altitudes = list(chain.from_iterable(altitudes_for_groups))
+ altitudes = [1200, 1500, 1800]
+ for scenario in rcp_scenarios[:2]:
+ for gcm_rcm_couple in get_gcm_rcm_couple_adamont_version_2(scenario):
+ visualizer = PointwiseGevStudyVisualizer(AdamontSnowfall, altitudes=altitudes, scenario=scenario,
+ gcm_rcm_couple=gcm_rcm_couple)
+ visualizer.plot_gev_params_against_altitude()
+
+if __name__ == '__main__':
+ main_paper3()
diff --git a/projects/projected_snowfall/comparison_with_scm/comparison_historical_visualizer.py b/projects/projected_snowfall/comparison_with_scm/comparison_historical_visualizer.py
index a4fe1766..e2c26b2e 100644
--- a/projects/projected_snowfall/comparison_with_scm/comparison_historical_visualizer.py
+++ b/projects/projected_snowfall/comparison_with_scm/comparison_historical_visualizer.py
@@ -5,8 +5,8 @@ from matplotlib.lines import Line2D
import os.path as op
from extreme_data.meteo_france_data.adamont_data.abstract_adamont_study import AbstractAdamontStudy
-from extreme_data.meteo_france_data.adamont_data.adamont_scenario import get_color_from_gcm_rcm_couple, \
- gcm_rcm_couple_to_str, gcm_rcm_couple_to_color, scenario_to_str
+from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import gcm_rcm_couple_to_color
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import gcm_rcm_couple_to_str, scenario_to_str
from extreme_data.meteo_france_data.adamont_data.adamont_studies import AdamontStudies
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 \
@@ -139,7 +139,7 @@ class ComparisonHistoricalVisualizer(StudyVisualizer):
width = 10
positions = [i * width * 2 for i in range(len(values))]
labels = ['Reanalysis'] + [gcm_rcm_couple_to_str(couple) for couple in gcm_rcm_couples]
- colors = ['black'] + [get_color_from_gcm_rcm_couple(couple) for couple in gcm_rcm_couples]
+ colors = ['black'] + [gcm_rcm_couple_to_color[couple] for couple in gcm_rcm_couples]
# Permute values, labels & colors, based on the mean values
mean_values = np.mean(values, axis=1)
index_to_sort = np.argsort(mean_values)
diff --git a/projects/projected_snowfall/comparison_with_scm/comparison_plot.py b/projects/projected_snowfall/comparison_with_scm/comparison_plot.py
index 93735b48..398b9f3c 100644
--- a/projects/projected_snowfall/comparison_with_scm/comparison_plot.py
+++ b/projects/projected_snowfall/comparison_with_scm/comparison_plot.py
@@ -6,7 +6,8 @@ from typing import Dict
import numpy as np
from matplotlib.lines import Line2D
-from extreme_data.meteo_france_data.adamont_data.adamont_scenario import gcm_rcm_couple_to_color, gcm_rcm_couple_to_str, \
+from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import gcm_rcm_couple_to_color
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import gcm_rcm_couple_to_str, \
scenario_to_str
from projects.projected_snowfall.comparison_with_scm.comparison_historical_visualizer import \
ComparisonHistoricalVisualizer
diff --git a/test/test_extreme_data/test_meteo_france_data/test_adamont_study.py b/test/test_extreme_data/test_meteo_france_data/test_adamont_study.py
index b287d74f..618c0bac 100644
--- a/test/test_extreme_data/test_meteo_france_data/test_adamont_study.py
+++ b/test/test_extreme_data/test_meteo_france_data/test_adamont_study.py
@@ -1,7 +1,8 @@
import unittest
from extreme_data.meteo_france_data.adamont_data.adamont_gcm_rcm_couples import get_gcm_rcm_couple_adamont_to_full_name
-from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario
+from extreme_data.meteo_france_data.adamont_data.adamont_scenario import AdamontScenario, adamont_scenarios_real, \
+ rcp_scenarios, get_gcm_rcm_couple_adamont_version_2
from extreme_data.meteo_france_data.adamont_data.adamont.adamont_snowfall import AdamontSnowfall
from extreme_data.meteo_france_data.scm_models_data.safran.safran import SafranSnowfall1Day
@@ -30,7 +31,7 @@ class TestAdamontStudy(unittest.TestCase):
def test_massifs_names_adamont_v2(self):
year_min = 2004
- adamont_version = 2 # this test will not pass with adamont version 1
+ adamont_version = 2 # this test will not pass with adamont version 1
for altitude in [600, 900, 1200, 1500, 1800, 2100, 2400, 2700, 3000, 3300, 3600]:
reanalysis_study = SafranSnowfall1Day(altitude=altitude, year_min=year_min)
for gcm_rcm_couple in get_gcm_rcm_couple_adamont_to_full_name(adamont_version).keys():
@@ -38,6 +39,22 @@ class TestAdamontStudy(unittest.TestCase):
year_min=year_min, gcm_rcm_couple=gcm_rcm_couple)
assert set(adamont_study.study_massif_names) == set(reanalysis_study.study_massif_names)
+ def test_existing_gcm_rcm_couple_and_rcp(self):
+ altitude = 1800
+ for scenario in rcp_scenarios[:2]:
+ l = []
+ for gcm_rcm_couple in get_gcm_rcm_couple_adamont_version_2(scenario):
+ adamont_study = AdamontSnowfall(altitude=altitude, adamont_version=2,
+ year_min=2098, gcm_rcm_couple=gcm_rcm_couple,
+ scenario=scenario)
+ try:
+ _ = adamont_study.year_to_annual_maxima[2098]
+ except FileNotFoundError:
+ l.append(gcm_rcm_couple)
+ print(scenario, l)
+
+
+ self.assertTrue(True)
if __name__ == '__main__':
unittest.main()
--
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