pysteps.verification.ensscores.rankhist

pysteps.verification.ensscores.rankhist(X_f, X_o, num_ens_members, X_min=None, normalize=True)

Compute a rank histogram counts and optionally normalize the histogram.

Parameters:

X_f : array-like

Array of shape (k,m,n,…) containing the values from an ensemble forecast of k members with shape (m,n,…).

X_o : array_like

Array of shape (m,n,…) containing the observed values corresponding to the forecast.

X_min : {float,None}

Threshold for minimum intensity. Forecast-observation pairs, where all ensemble members and verifying observations are below X_min, are not counted in the rank histogram. If set to None, thresholding is not used.