earth2studio.data.HRRR_FX

class earth2studio.data.HRRR_FX(cache=True, verbose=True)

High-Resolution Rapid Refresh (HRRR) forecast source provides a North-American weather forecasts with hourly forecast runs developed by NOAA. This forecast source has hourly forecast steps up to a lead time of 48 hours. Data is provided on a Lambert conformal 3km grid at 1-hour intervals. The spatial dimensionality of HRRR data is [1059, 1799]. This data source pulls data from the HRRR zarr bucket on S3.

Parameters:

• 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:

• https://www.nco.ncep.noaa.gov/pmb/products/hrrr/

• https://rapidrefresh.noaa.gov/hrrr/

• https://console.cloud.google.com/marketplace/product/noaa-public/hrrr

__call__(time, lead_time, variable)

Retrieve HRRR 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 HRRR lexicon.

Returns:

HRRR forecast data array

Return type:

xr.DataArray

classmethod available(time)

Checks if given date time is avaliable in the HRRR store

Parameters:

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

Returns:

If date time is avaiable

Return type:

bool