climpred.metrics._conditional_bias
climpred.metrics._conditional_bias#
- climpred.metrics._conditional_bias(forecast: xarray.Dataset, verif: xarray.Dataset, dim: Optional[Union[str, List[str]]] = None, **metric_kwargs: Any) xarray.Dataset [source]#
Conditional bias between forecast and verification data.
where
and
are the standard deviations of the forecast and verification data over the experimental period, respectively.
- Parameters
forecast – Forecast.
verif – Verification data.
dim – Dimension(s) to perform metric over.
metric_kwargs – see
xskillscore.pearson_r()
andstd()
Notes
minimum
-∞
maximum
1.0
perfect
0.0
orientation
negative
References
https://www-miklip.dkrz.de/about/murcss/
Example
>>> HindcastEnsemble.verify( ... metric="conditional_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 0.1705 0.03435 -0.05988 ... -0.1436 -0.175 -0.1434 Attributes: prediction_skill_software: climpred https://climpred.readthedocs.io/ skill_calculated_by_function: HindcastEnsemble.verify() number_of_initializations: 64 number_of_members: 10 alignment: same_verifs metric: conditional_bias comparison: e2o dim: init reference: []