climpred.metrics._median_absolute_error

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

Median Absolute Error.

median(|f - o|)

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

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