earth2studio.data.GFS_FX#

class earth2studio.data.GFS_FX(source='aws', cache=True, verbose=True)[source]#

The global forecast service (GFS) forecast source provided on an equirectangular grid. GFS is a weather forecast model developed by NOAA. This data source is on a 0.25 degree lat lon grid at 6-hour intervals spanning from Feb 26th 2021 to present date. Each forecast provides hourly predictions up to 16 days (384 hours).

Parameters:
  • source (str, optional) – Data store location to pull from. Options are [aws, ncep], by default aws

  • cache (bool, optional) – Cache data source on local memory, by default True

  • verbose (bool, optional) – Print download progress, by default True

Warning

This is a remote data source and can potentially download a large amount of data to your local machine for large requests.

__call__(time, lead_time, variable)[source]#

Retrieve GFS forecast data

Parameters:
  • time (datetime | list[datetime] | TimeArray) – Timestamps to return data for (UTC).

  • lead_time (timedelta | list[timedelta] | LeadTimeArray) – Forecast lead times to fetch.

  • variable (str | list[str] | VariableArray) – String, list of strings or array of strings that refer to variables to return. Must be in the GFS lexicon.

Returns:

GFS weather data array

Return type:

xr.DataArray

classmethod available(time)#

Checks if given date time is avaliable in the GFS object store. Uses S3 store

Parameters:

time (datetime | np.datetime64) – Date time to access

Returns:

If date time is avaiable

Return type:

bool