climpred.metrics._rps¶

climpred.metrics._rps(forecast, verif, dim=None, **metric_kwargs)[source]¶

Ranked Probability Score.

$RPS(p, k) = 1/M \sum_{m=1}^{M} [(\sum_{k=1}^{m} p_k) - (\sum_{k=1}^{m} o_k)]^{2}$

Parameters

forecast (xr.object) – Raw forecasts with member dimension.
verif (xr.object) – Verification data without member dim.
dim (list or str) – Dimensions to aggregate. Requires to contain member.
category_edges (array_like) – Category bin edges used to compute the CDFs. Bins include the left most edge, but not the right. Passed via metric_kwargs.

Details:

minimum	0.0
maximum	1.0
perfect	0.0
orientation	negative

See also

rps()

Example

>>> category_edges = np.array([-.5, 0., .5, 1.])
>>> hindcast.verify(metric='rps', comparison='m2o', dim='member',
        alignment='same_verifs', category_edges=category_edges)
>>> perfect_model.verify(metric='rps', comparison='m2c',
        dim='member', category_edges=category_edges)