pysteps.verification.spatialscores.intensity_scale#
- pysteps.verification.spatialscores.intensity_scale(X_f, X_o, name, thrs, scales=None, wavelet='Haar')#
Compute an intensity-scale verification score.
- Parameters:
X_f (array_like) – Array of shape (m, n) containing the forecast field.
X_o (array_like) – Array of shape (m, n) containing the verification observation field.
name (string) –
A string indicating the name of the spatial verification score to be used:
Name
Description
FSS
Fractions skill score
BMSE
Binary mean squared error
thrs (float or array_like) – Scalar or 1-D array of intensity thresholds for which to compute the verification.
scales (float or array_like, optional) – Scalar or 1-D array of spatial scales in pixels, required if
name="FSS".wavelet (str, optional) – The name of the wavelet function to use in the BMSE. Defaults to the Haar wavelet, as described in Casati et al. 2004. See the documentation of PyWavelets for a list of available options.
- Returns:
out – The two-dimensional array containing the intensity-scale skill scores for each spatial scale and intensity threshold.
- Return type:
array_like
References