39 lines
1.5 KiB
Python
39 lines
1.5 KiB
Python
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import cdsapi
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c = cdsapi.Client()
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r = c.retrieve(
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'reanalysis-era5-single-levels',
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{
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'product_type': 'reanalysis',
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'format': 'netcdf',
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'variable': [
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'cloud_base_height', 'forecast_albedo', 'high_cloud_cover', 'low_cloud_cover', 'clear_sky_direct_solar_radiation_at_surface',
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'medium_cloud_cover', 'sea_surface_temperature', 'skin_temperature', 'surface_net_solar_radiation', 'surface_net_solar_radiation_clear_sky',
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'surface_net_thermal_radiation', 'surface_solar_radiation_downwards', 'surface_thermal_radiation_downwards', 'surface_net_thermal_radiation_clear_sky', 'top_net_thermal_radiation_clear_sky',
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'top_net_solar_radiation', 'toa_incident_solar_radiation', 'top_net_thermal_radiation', 'total_cloud_cover', 'surface_solar_radiation_downward_clear_sky', 'surface_thermal_radiation_downward_clear_sky',
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],
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'time': [
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'00:00', '01:00', '02:00',
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'03:00', '04:00', '05:00',
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'06:00', '07:00', '08:00',
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'09:00', '10:00', '11:00',
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'12:00', '13:00', '14:00',
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'15:00', '16:00', '17:00',
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'18:00', '19:00', '20:00',
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'21:00', '22:00', '23:00',
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],
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'year': '2016',
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'month': '07',
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'day': [
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'11', '12', '13',
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'14', '15', '16',
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'17', '18',
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],
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'area': [
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90, -180, 45, # North, West, South 72, -111, 67,
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180, # East 22,
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],
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})
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r.download('single.nc')
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