earth2studio.data.IFS_FX#

class earth2studio.data.IFS_FX(source='aws', cache=True, verbose=True, async_timeout=600)[source]#

Integrated forecast system (IFS) HRES forecast data source on an equirectangular grid at 0.25 degree resolution. IFS is a forecast model developed by ECMWF. Data for the most recent 4 days can be retrieved from ECMWF’s servers (source ecmwf). Historical data is part of ECMWF’s open data project on AWS (source aws).

Parameters:
  • source (str, optional) – Data source to fetch data from. For possible options refer to ECMWF’s open data Python SDK, by default “aws”.

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

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

  • async_timeout (int, optional) – Time in seconds after which the 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.

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

Retrieve IFS 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 data lexicon.

Returns:

IFS forecast data array

Return type:

xr.DataArray

async fetch(time, lead_time, variable)[source]#

Async function to get 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 data lexicon.

Returns:

IFS forecast data array.

Return type:

xr.DataArray