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supy.util.optimize_MO

supy.util.optimize_MO(df_val, z_meas, h_sfc)

Calculates surface roughness and zero plane displacement height. Refer to https://suews-parameters-docs.readthedocs.io/en/latest/steps/roughness-SuPy.html for example

Parameters:

• df_val (pd.DataFrame) – Index should be time with columns: ‘H’, ‘USTAR’, ‘TA’, ‘RH’, ‘PA’, ‘WS’
• z_meas – measurement height in m
• h_sfc – vegetation height in m

Returns:

• z0 – surface roughness
• d – zero displacement height
• ser_ws (pd.series) – observation time series of WS (Neutral conditions)
• ser_ustar (pd.series) – observation time series of u* (Neutral conditions)