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.
Note
Additional information on the data repository can be referenced here:
- __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