- pysteps.verification.ensscores.ensemble_spread(X_f, metric, **kwargs)#
Compute mean ensemble spread for a given skill metric.
X_f (array-like) – Array of shape (l,m,n) containing the forecast fields of shape (m,n) from l ensemble members.
metric (str) – The deterministic skill metric to be used (list available in
out – The mean skill compted between all possible pairs of the ensemble members, which can be used as definition of mean ensemble spread (as in Zacharov and Rezcova 2009 with the FSS).
- Return type: