hydromt.workflows.forcing.wind#

hydromt.workflows.forcing.wind(da_model: ~typing.Union[~xarray.core.dataarray.DataArray, ~xarray.core.dataset.Dataset], wind: ~typing.Optional[~xarray.core.dataarray.DataArray] = None, wind_u: ~typing.Optional[~xarray.core.dataarray.DataArray] = None, wind_v: ~typing.Optional[~xarray.core.dataarray.DataArray] = None, altitude: float = 10, altitude_correction: bool = False, freq: ~typing.Optional[~pandas._libs.tslibs.timedeltas.Timedelta] = None, reproj_method: str = 'nearest_index', resample_kwargs: dict = {}, logger=<Logger hydromt.workflows.forcing (WARNING)>)[source]#

Lazy reprojection of wind speed to model grid and resampling of time dimension to frequency.

Either provide wind speed directly or both wind_u and wind_v components.

Parameters:

  • wind (xarray.DataArray) – DataArray of wind speed forcing [m s-1]

  • wind_u (xarray.DataArray) – DataArray of U component of wind speed forcing [m s-1]

  • wind_v (xarray.DataArray) – DataArray of V component of wind speed forcing [m s-1]

  • da_model (xarray.DataArray) – DataArray of the target resolution and projection

  • altitude (float, optional) – ALtitude of wind speed data. By default 10m.

  • altitude_correction (str, optional) – If True wind speed is re-calculated to wind speed at 2 meters using original altitude.

  • freq (str, Timedelta) – output frequency of timedimension

  • reproj_method (str, optional) – Method for spatital reprojection of precip, by default ‘nearest_index’

  • resample_kwargs – Additional key-word arguments (e.g. label, closed) for time resampling method

Returns:

wind_out – processed wind forcing

Return type:

xarray.DataArray (lazy)