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These exercises require EFAS model output parameters and auxiliary data. You can retrieve them using the CDS API, as described in the code block blocks below:
Model outputs
| Code Block | ||||||
|---|---|---|---|---|---|---|
| ||||||
import cdsapi
c = cdsapi.Client()
# Climatology river discharge
c.retrieve('efas-historical', {
"format": "netcdf",
"hday": ["15","16","17","18"],
"hmonth": "november",
"hyear": "2020",
"model_levels": "surface_level",
"system_version": "version_4_0",
"time": ["00:00","06:00","18:00"],
"variable": "river_discharge_in_the_last_6_hours"
},
'clim_2020111500.nc')
# Forecast river discharge
c.retrieve(
'efas-forecast',
{
'format': 'netcdf',
'originating_centre': 'ecmwf',
'product_type': 'ensemble_perturbed_forecasts',
'variable': 'river_discharge_in_the_last_6_hours',
'model_levels': 'surface_level',
'year': '2020',
'month': '11',
'day': '15',
'time': '00:00',
'leadtime_hour': [
'6', '12', '18',
'24', '30', '36',
'42', '48', '54',
'60', '66', '72',
],
},
'eue_2020111500.nc')
# Forecast soil moisture
c.retrieve(
'efas-forecast',
{
'format': 'netcdf',
'originating_centre': 'ecmwf',
'product_type': 'high_resolution_forecast',
'variable': [
'soil_depth', 'volumetric_soil_moisture',
],
'model_levels': 'soil_levels',
'year': '2019',
'month': '01',
'day': '30',
'time': '00:00',
'leadtime_hour': [
'6', '12', '18',
'24', '30', '36',
'42', '48', '54',
'60', '66', '72',
],
'soil_level': [
'1', '2', '3',
],
},
'eud_2019013000.nc') |
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