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def nbm_hourly_point_forecast(latitude,
longitude,
days=7,
temperature_units='fahrenheit',
wind_speed_units='mph',
precipitation_units='inch',
variables=['temperature_2m',
'cape',
'precipitation',
'snowfall',
'surface_pressure',
'visibility',
'wind_speed_10m',
'wind_speed_80m',
'wind_direction_10m',
'wind_direction_80m'],
proxies=None,
to_csv=False,
path=f"Open Meteo Data/NOAA/NBM",
filename=f"NBM_Data.csv"):
This function retrieves NBM time series forecast 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=7. Amount of days to go out for the forecast. Maximum is 16.
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’, ‘cape’, ‘precipitation’, ‘snowfall’, ‘surface_pressure’, ‘visibility’, ‘wind_speed_10m’, ‘wind_speed_80m’, ‘wind_direction_10m’, ‘wind_direction_80m’]
The list of variables to choose from.
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} wth {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 NBM time series forecast for a given point of latitude/longitude.