pywasp.wasp.calc_temp_scale

pywasp.wasp.calc_temp_scale(ds, revert_to_original=True, enhmix=1.0, use_humidity=False)[source]

Calculate temperature scale

This calculates a surface layer temperature scale that can be used to model the wind profile. Using the enhmix can be used to control mixing over land, because ERA5 has a large bias in $u_*$ over land. If you supply enhmix you will have to add a landmask because it is only applied over land.

Parameters:

ds (xarray.Dataset) – Dataset containing variables [“PSFC”, “T2”, “UST”, “HFX”, “LH”, “PBLH”,”elevation”,”Q2”,”LANDMASK”] Can have any pywasp spatial structure
revert_to_original (bool) – Return the histogram input in original format from the input xarray.Dataset? If false, keeps the data in stacked point format which is more efficient when doing large calculations for numerical wind atlases.
enhmix (float) – Decrease mixing over land with this factor

Returns:

hist (DataArray) – DataArray ‘temp_scale’ with same dimensions as input