windkit.empty.empty_pwc

windkit.empty.empty_pwc(output_locs, nsec=12, not_empty=True, seed=9876538, met_fields=['A_combined', 'k_combined', 'power_density'], site_factors=['site_elev'], include_name=True, **kwargs)[source]

Empty predicted wind climate with optional variables.

Parameters:
  • out_grid (xarray.Dataset) – Output geospatial information

  • nsec (int) – Number of sectors, defaults to 12.

  • not_empty (bool) – If true, the empty dataset is filled with random meaningful data. Defaults to True.

  • seed (int) – Seed for the random data, defaults to 9876538.

  • met_fields (list of str, string) – List of met fields variables to include in the output. If None, nothing is included. Defaults to A_combined, k_combined, power_density

  • include_site_factors (list of str, str) – List of site factors variables to include in the output. If None, nothing is included. Defaults to site_elev.

  • include_name (bool) – If true, include a “name” coordinate, which is a string, associated to the dimension point, as it is commonly seen in rsf and wrg files. Defaults to True.

  • kwargs (dict) – Additional arguments.

Returns:

ds – empty predicted wind climate dataset.

Return type:

xarray.Dataset