climpred.metrics._median_absolute_error¶
- climpred.metrics._median_absolute_error(forecast, verif, dim=None, **metric_kwargs)[source]¶
Median Absolute Error.
The median of the absolute differences between forecasts and verification data. Applying the median function to absolute error makes it more robust to outliers.
- Parameters
forecast (xarray object) – Forecast.
verif (xarray object) – Verification data.
dim (str) – Dimension(s) to perform metric over.
metric_kwargs (dict) – see
median_absolute_error()
- Details:
minimum
0.0
maximum
∞
perfect
0.0
orientation
negative
See also
Example
>>> HindcastEnsemble.verify(metric='median_absolute_error', 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 0.06077 0.06556 0.06368 ... 0.1131 0.142 0.1466