def export_era5(variables):
exporter = ERA5Exporter(get_data_path())
# The ERA5 exporter downloads the data with wierd names.
# A mapping of actual variables to the downloaded variable
# names is recorded here
name2var = {
"precip": "precip",
"total_precipitation": "total_precipitation",
"evaporation": "e",
"mean_eastward_turbulent_surface_stress": "metss",
"mean_northward_turbulent_surface_stress": "mntss",
"potential_evaporation": "pev",
"slhf": "surface_latent_heat_flux",
"sp": "surface_pressure",
"sshf": "surface_sensible_heat_flux",
"ssrc": "surface_net_solar_radiation_clear_sky",
"stl1": "soil_temperature_level_1",
"strc": "surface_net_thermal_radiation_clear_sky",
"swvl1": "volumetric_soil_water_layer_1",
"swvl2": "volumetric_soil_water_layer_2",
"swvl3": "volumetric_soil_water_layer_3",
"swvl4": "volumetric_soil_water_layer_4",
"t2m": "2m_temperature",
"u10": "10m_u_component_of_wind",
"v10": "10m_v_component_of_wind",
"p84.162": "vertical_integral_of_divergence_of_moisture_flux",
"VCI": "VCI",
}
for variable in variables:
exporter.export(variable=variable, granularity="hourly", break_up=True)
def export_era5_single_var(variable="total_precipitation"):
# if the working directory is alread ml_drought don't need ../data
if Path(".").absolute().as_posix().split("/")[-1] == "ml_drought":
data_path = Path("data")
else:
data_path = Path("../data")
exporter = ERA5Exporter(data_path)
exporter.export(variable=variable, granularity="monthly")
def export_era5():
# if the working directory is alread ml_drought don't need ../data
if Path('.').absolute().as_posix().split('/')[-1] == 'ml_drought':
data_path = Path('data')
else:
data_path = Path('../data')
exporter = ERA5Exporter(data_path)
# The ERA5 exporter downloads the data with wierd names.
# A mapping of actual variables to the downloaded variable
# names is recorded here
name2var = {
'precip': 'precip',
'evaporation': 'e',
'mean_eastward_turbulent_surface_stress': 'metss',
'mean_northward_turbulent_surface_stress': 'mntss',
'potential_evaporation': 'pev',
'slhf': 'surface_latent_heat_flux',
'sp': 'surface_pressure',
'sshf': 'surface_sensible_heat_flux',
'ssrc': 'surface_net_solar_radiation_clear_sky',
'stl1': 'soil_temperature_level_1',
'strc': 'surface_net_thermal_radiation_clear_sky',
'swvl1': 'volumetric_soil_water_layer_1',
'swvl2': 'volumetric_soil_water_layer_2',
'swvl3': 'volumetric_soil_water_layer_3',
'swvl4': 'volumetric_soil_water_layer_4',
't2m': '2m_temperature',
'u10': '10m_u_component_of_wind',
'v10': '10m_v_component_of_wind',
'p84.162': 'vertical_integral_of_divergence_of_moisture_flux',
'VCI': 'VCI'
}
era5_variables = [
'10m_u_component_of_wind', '10m_v_component_of_wind',
'volumetric_soil_water_layer_1', 'volumetric_soil_water_layer_2',
'volumetric_soil_water_layer_3', 'volumetric_soil_water_layer_4',
'surface_pressure', 'surface_sensible_heat_flux',
'surface_latent_heat_flux', 'soil_temperature_level_1',
'2m_temperature', 'mean_eastward_turbulent_surface_stress',
'mean_northward_turbulent_surface_stress',
'surface_net_solar_radiation_clear_sky',
'surface_net_thermal_radiation_clear_sky',
'vertical_integral_of_divergence_of_moisture_flux',
'potential_evaporation', 'evaporation'
]
for variable in era5_variables:
exporter.export(variable=variable, granularity='monthly')
def export_data(data_path):
# target variable
print('** Exporting VHI **')
exporter = VHIExporter(data_path)
exporter.export()
del exporter
# precip
print('** Exporting CHIRPS Precip **')
exporter = CHIRPSExporter(data_path)
exporter.export(years=None, region='global', period='monthly')
del exporter
# temperature
print('** Exporting ERA5 Temperature **')
exporter = ERA5Exporter(data_path)
exporter.export(
variable='2m_temperature', granularity='monthly',
)
del exporter
# evaporation
print('** Exporting GLEAM Evaporation **')
exporter = GLEAMExporter(data_folder=data_path)
exporter.export(['E'], 'monthly')
del exporter
# topography
print('** Exporting SRTM Topography **')
exporter = SRTMExporter(data_folder=data_path)
exporter.export()
del exporter
# landcover
print('** Exporting Landcover **')
exporter = ESACCIExporter(data_folder=data_path)
exporter.export()
del exporter
def export_data(data_path):
# target variable
print("** Exporting VHI **")
exporter = VHIExporter(data_path)
exporter.export()
del exporter
# precip
print("** Exporting CHIRPS Precip **")
exporter = CHIRPSExporter(data_path)
exporter.export(years=None, region="global", period="monthly")
del exporter
# temperature
print("** Exporting ERA5 Temperature **")
exporter = ERA5Exporter(data_path)
exporter.export(variable="2m_temperature", granularity="monthly")
del exporter
# evaporation
print("** Exporting GLEAM Evaporation **")
exporter = GLEAMExporter(data_folder=data_path)
exporter.export(["E"], "monthly")
del exporter
# topography
print("** Exporting SRTM Topography **")
exporter = SRTMExporter(data_folder=data_path)
exporter.export()
del exporter
# landcover
print("** Exporting Landcover **")
exporter = ESACCIExporter(data_folder=data_path)
exporter.export()
del exporter