pysteps.verification.ensscores.ensemble_spread
pysteps.verification.ensscores.ensemble_spread¶
- pysteps.verification.ensscores.ensemble_spread(X_f, metric, **kwargs)¶
Compute mean ensemble spread for a given skill metric.
- Parameters
- 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
get_method()).
- Returns
- out: float
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).
References
[ZR09]