earth2studio.data.HRRR#
- class earth2studio.data.HRRR(source='aws', max_workers=24, cache=True, verbose=True, async_timeout=600)[source]#
High-Resolution Rapid Refresh (HRRR) data source provides hourly North-American weather analysis data developed by NOAA (used to initialize the HRRR forecast model). 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:
source (str, optional) – Data source to use (‘aws’, ‘google’, ‘azure’, ‘nomads’), by default ‘aws’
max_workers (int, optional) – Max works in async io thread pool. Only applied when using sync call function and will modify the default async loop if one exists, by default 24
cache (bool, optional) – Cache data source on local memory, by default True
verbose (bool, optional) – Print download progress, by default True
async_timeout (int, optional) – Time in sec after which download will be cancelled if not finished successfully, by default 600
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, variable)[source]#
Retrieve HRRR analysis data (lead time 0)
- 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
- async fetch(time, variable)[source]#
Async function to get data
- 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
