earth2studio.data.HRRR

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

High-Resolution Rapid Refresh (HRRR) is a North-American weather forecast model with hourly data-assimilation developed by NOAA. This data source is provided on a Lambert conformal 3km grid at 1-hour intervals. The spatial dimensionality of HRRR data is [1059, 1799].

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

This data source only fetches the initial state of HRRR and not predicted time steps.

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, variable)

Retrieve HRRR initial data to be used for initial conditions for the given time, variable information, and optional history.

Parameters:

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

• 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 weather 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