hydromt.workflows.forcing.temp

hydromt.workflows.forcing.temp(temp, dem_model, dem_forcing=None, lapse_correction=True, freq=None, reproj_method='nearest_index', lapse_rate=-0.0065, resample_kwargs=None, logger=<Logger hydromt.workflows.forcing (WARNING)>)

Return lazy reprojection of temperature to model grid.

Use lapse_rate for downscaling, and resampling of time dimension to frequency.

Parameters:

• temp (xarray.DataArray) – DataArray of temperature forcing [°C]

• dem_model (xarray.DataArray) – DataArray of the target resolution and projection, contains elevation data

• dem_forcing (xarray.DataArray) – DataArray of elevation at forcing resolution. If provided this is used with dem_model to correct the temperature downscaling using a lapse rate

• lapse_correction (bool, optional) – If True, temperature is correctured based on lapse rate, by default True.

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

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

• lapse_rate (float, optional) – lapse rate of temperature [C m-1] (default: -0.0065)

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

• logger – The logger to use.

Returns:

t_out – processed temperature forcing

Return type:

xarray.DataArray (lazy)