mesmer.core.computation.gaspari_cohn#
- mesmer.core.computation.gaspari_cohn(r)#
smooth, exponentially decaying Gaspari-Cohn correlation function
- Parameters:
r (xr.DataArray, np.ndarray) – Values for which to calculate the value of the Gaspari-Cohn correlation function (e.g. normalised geographical distances)
- Returns:
out (xr.DataArray, , np.ndarray) – Gaspari-Cohn correlation function
Notes
Smooth exponentially decaying correlation function which mimics a Gaussian distribution but vanishes at r = 2, i.e., 2 x the localisation radius (L)
based on Gaspari-Cohn 1999 [1] (as taken from Carrassi et al., 2018 [2])
r = d / L, with d = geographical distance in km, L = localisation radius in km