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def pixel_query(ds,
latitude=None,
longitude=None,
station_id=None,
coord_names=['latitude',
'longitude'],
proxies=None):
This function queries for the nearest pixel to a user specified point of (latitude/longitude).
This function is useful for people interested in a point forecast.
Applications include
1) forecast soundings
2) forecast meteograms
3) forecast time cross-sections
Required Arguments:
1) ds (xarray.array) - The forecast model dataset in GRIB format.
Optional Arguments:
1) station_id (String) - Default=None. The 4 letter station ID of an ASOS station.
2) latitude (Float) - Default=None. The latitude of the point in decimal degrees.
3) longitude (Float) - Default=None. The longitude of the point in decimal degrees.
4) coord_names (String List) - Default=[‘latitude’, ‘longitude’] A list of the coordinate names (i.e. 'longitude/latitude', 'lon'/'lat', 'easting'/'northing')
5) proxies (String or None) - Default=None. If the user is using proxy server(s), the user must change the following:
proxies=None ---> proxies="http://your-proxy-address:port" ---> ds = pixel_query(proxies=proxies)
This is in the event the user needs to download the list of airports when the mode is set to station coordinates.
Returns
An xarray.array for the pixel closest to the user specified coordinates or ASOS station.