pywasp.wasp.generalize_and_downscale#

pywasp.wasp.generalize_and_downscale(bwc, topo_map, output_locs, generalize_kwargs={}, downscale_kwargs={})[source]#

Creates a generalized wind climate using atlas_nt, calculate site_effects, downscale wind climate, and add meteorlogical fields in a single step.

Deprecated since version 0.7.0: Use pywasp.wasp.predict_wwc() instead. Will be removed in pywasp 3.0.

Parameters:

  • output_locs (xarray.Dataset) – Pywasp xarray.Dataset containging the output locations.

  • bwc (xarray.Dataset) – PyWAsP xarray.Dataset containing wind climate to be generalized and downscaled

  • topo_map (TopographyMap) – Topographical map covering the area represented by the bwc

  • generalize_kwargs (dict) – Additional arguments for the generalize function. If gen_heights is not set, the unique output heights from the output_locs will be used. This will reduce the interpolation error in the downscaling.

  • downscale_kwargs (dict) – Additional arguments for the downscale function.

Returns:

wwc (xarray.Dataset) – Weibull wind climate containing sectorwise A, k, frequency, total A and k at site. Optionally include speedups, rix, elevation and other site_effects, and/or wind speeds, air and power densities.