import cdsapi

c = cdsapi.Client()


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