climpred.metrics._unconditional_bias¶
- climpred.metrics._unconditional_bias(forecast, verif, dim=None, **metric_kwargs)[source]¶
Unconditional additive bias.
- Parameters
- Details:
minimum
-∞
maximum
∞
perfect
0.0
orientation
negative
- Reference:
Example
>>> HindcastEnsemble.verify(metric='unconditional_bias', 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 -0.01158 -0.02512 -0.0408 ... -0.1322 -0.1445
Conditional bias is removed by
remove_bias()
.>>> HindcastEnsemble = HindcastEnsemble.remove_bias(alignment='same_verifs') >>> HindcastEnsemble.verify(metric='unconditional_bias', 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 3.203e-18 -1.068e-18 ... 2.882e-17 -2.776e-17