climpred.metrics._std_ratio¶
- climpred.metrics._std_ratio(forecast, verif, dim=None, **metric_kwargs)[source]¶
Ratio of standard deviations of the forecast over the verification data.
where and are the standard deviations of the forecast and the verification data over the experimental period, respectively.
- Parameters
- Details:
minimum
0.0
maximum
∞
perfect
1.0
orientation
N/A
- Reference:
Example
>>> HindcastEnsemble.verify(metric='std_ratio', comparison='e2o', ... alignment='same_verifs', dim='init') <xarray.Dataset> Dimensions: (lead: 10) Coordinates: * lead (lead) int32 1 2 3 4 5 6 7 8 9 10 skill <U11 'initialized' Data variables: SST (lead) float64 0.7567 0.8801 0.9726 1.055 ... 1.075 1.094 1.055