pyPDAF.PDAF.local_weights

pyPDAF.PDAF.local_weights()

This function returns a vector of the localisation weights based on distance and localisation functions and radii. This function is particularly useful for mannually apply covariance localisations for state or observation errors.

Parameters:

  • wtype (int) – Type of weight function (0): unit weight (=1 up to distance=cradius) (1): exponential decrease (1/e at distance=sradius; 0 for distance>cradius) (2): 5th order polynomial (Gaspari&Cohn 1999; 0 for distance>cradius)

  • cradius (float) – Parameter for cut-off

  • sradius (float) – Support radius

  • distance (ndarray[tuple[dim], np.float64]) –

    Array holding distances

    The array dimension dim is Size of distance and weight arrays

  • verbose (int) – Verbosity flag

Returns:

weight – Array for weights

The array dimension dim is Size of distance and weight arrays

Return type:

ndarray[tuple[dim], np.float64]