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Open-Meteo API ECMWF EC46 Weekly Mean & Anomaly

def ec46_mean_anomaly(latitude,
            longitude,
            days=46,
            temperature_units='fahrenheit',
            wind_speed_units='mph',
            precipitation_units='inch',
            variables=['temperature_2m_mean',
                        'temperature_2m_anomaly',
                        'temperature_max6h_2m_mean',
                        'temperature_max6h_2m_anomaly',
                        'temperature_min6h_2m_mean',
                        'temperature_min6h_2m_anomaly',
                        'dew_point_2m_mean',
                        'dew_point_2m_anomaly',
                        'soil_temperature_0_to_7cm_mean',
                        'soil_temperature_0_to_7cm_anomaly',
                        'precipitation_mean',
                        'precipitation_anomaly',
                        'snowfall_mean',
                        'snowfall_anomaly',
                        'snow_depth_mean',
                        'snow_depth_anomaly',
                        'pressure_msl_mean',
                        'pressure_msl_anomaly',
                        'sea_surface_temperature_mean',
                        'sea_surface_temperature_anomaly',
                        'sunshine_duration_mean',
                        'sunshine_duration_anomaly',
                        'cloud_cover_mean',
                        'cloud_cover_anomaly',
                        'wind_speed_10m_mean',
                        'wind_speed_10m_anomaly',
                        'wind_speed_100m_mean',
                        'wind_speed_100m_anomaly',
                        'wind_direction_10m_mean',
                        'wind_direction_10m_anomaly',
                        'wind_direction_100m_mean',
                        'wind_direction_100m_anomaly',
                        'snow_density_mean',
                        'snow_density_anomaly',
                        'snow_depth_water_equivalent_mean',
                        'snow_depth_water_equivalent_anomaly',
                        'snowfall_water_equivalent_mean',
                        'snowfall_water_equivalent_anomaly',
                        'total_column_integrated_water_vapour_mean',
                        'total_column_integrated_water_vapour_anomaly',
                        'temperature_2m_efi',
                        'temperature_2m_sot10',
                        'temperature_2m_sot90',
                        'temperature_2m_anomaly_gt0',
                        'temperature_2m_anomaly_gt1',
                        'temperature_2m_anomaly_gt2',
                        'temperature_2m_anomaly_ltm1',
                        'temperature_2m_anomaly_ltm2',
                        'precipitation_efi',
                        'precipitation_sot90',
                        'precipitation_anomaly_gt0',
                        'precipitation_anomaly_gt10',
                        'precipitation_anomaly_gt20',
                        'pressure_msl_anomaly_gt0',
                        'surface_temperature_anomaly_gt0'],
            proxies=None,
            to_csv=False,
            path=f"Open Meteo Data/ECMWF/EC46/Weekly",
            filename=f"EC46_Forecast_Weekly.csv"):

This function retrieves ECMWF EC46 Seasonal Forecast time series at weekly interval from the Open-Meteo API for a given point of latitude/longitude.

Required Arguments:

1) latitude (Float or Integer) - Latitude in decimal degrees.

2) longitude (Float or Integer) - Longitude in decimal degrees.

Optional Arguments:

1) days (Integer) - Default=46. Amount of days to go out for the forecast. Maximum is 46.

2) temperature_units (String) - Default=’fahrenheit’. The units for temperature.

    Valid Temperature Units
    -----------------------
    
    1) fahrenheit
    2) celsius

3) wind_speed_units (String) - Default=’mph’. The units for wind speed.

    Valid Wind Speed Units
    ----------------------
    
    1) mph - miles per hour
    2) kmh - kilometers per hour
    3) ms - meters per second
    4) kn - knots

4) precipitation_units (String) - Default=’inch’. The units for precipitation amounts.

    Valid Precipitation Units
    -------------------------
    
    1) inch - inches
    2) mm - millimeters

5) variables (String List) - Default=[‘temperature_2m_mean’, ‘temperature_2m_anomaly’, ‘temperature_max6h_2m_mean’, ‘temperature_max6h_2m_anomaly’, ‘temperature_min6h_2m_mean’, ‘temperature_min6h_2m_anomaly’, ‘dew_point_2m_mean’, ‘dew_point_2m_anomaly’, ‘soil_temperature_0_to_7cm_mean’, ‘soil_temperature_0_to_7cm_anomaly’, ‘precipitation_mean’, ‘precipitation_anomaly’, ‘snowfall_mean’, ‘snowfall_anomaly’, ‘snow_depth_mean’, ‘snow_depth_anomaly’, ‘pressure_msl_mean’, ‘pressure_msl_anomaly’, ‘sea_surface_temperature_mean’, ‘sea_surface_temperature_anomaly’, ‘sunshine_duration_mean’, ‘sunshine_duration_anomaly’, ‘cloud_cover_mean’, ‘cloud_cover_anomaly’, ‘wind_speed_10m_mean’, ‘wind_speed_10m_anomaly’, ‘wind_speed_100m_mean’, ‘wind_speed_100m_anomaly’, ‘wind_direction_10m_mean’, ‘wind_direction_10m_anomaly’, ‘wind_direction_100m_mean’, ‘wind_direction_100m_anomaly’, ‘snow_density_mean’, ‘snow_density_anomaly’, ‘snow_depth_water_equivalent_mean’, ‘snow_depth_water_equivalent_anomaly’, ‘snowfall_water_equivalent_mean’, ‘snowfall_water_equivalent_anomaly’, ‘total_column_integrated_water_vapour_mean’, ‘total_column_integrated_water_vapour_anomaly’, ‘temperature_2m_efi’, ‘temperature_2m_sot10’, ‘temperature_2m_sot90’, ‘temperature_2m_anomaly_gt0’, ‘temperature_2m_anomaly_gt1’, ‘temperature_2m_anomaly_gt2’, ‘temperature_2m_anomaly_ltm1’, ‘temperature_2m_anomaly_ltm2’, ‘precipitation_efi’, ‘precipitation_sot90’, ‘precipitation_anomaly_gt0’, ‘precipitation_anomaly_gt10’, ‘precipitation_anomaly_gt20’, ‘pressure_msl_anomaly_gt0’, ‘surface_temperature_anomaly_gt0’]

6) proxies (dict or None) - Default=None. If the user is using a proxy server, the user must change the following:

    proxies=None ---> proxies={
                           'http':'http://your-proxy-address:port',
                           'https':'http://your-proxy-address:port'
                           }

7) to_csv (Boolean) - Default=False. When set to True the data will be saved as a CSV file to {path} with {filename}

8) path (String) - The path where the CSV file is saved to.

9) filename (String) - The filename for the CSV file.

Returns

A Pandas.DataFrame of the ECMWF EC46 Seasonal Forecast weekly time series for a given point of latitude/longitude.