hydromt.workflows.forcing.wind

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

Return lazy reprojection of wind speed to model grid.

Resample time dimension to frequency. Either provides 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

• logger – The logger to use.

Returns:

wind_out – processed wind forcing

Return type:

xarray.DataArray (lazy)