climpred.metrics._mae

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

Mean Absolute Error (MAE).

MAE = \overline{|f - o|}

The average of the absolute differences between forecasts and verification data. A more robust measure of forecast accuracy than mse which is sensitive to large outlier forecast errors.

Parameters

  • forecast (xarray object) – Forecast.

  • verif (xarray object) – Verification data.

  • dim (str) – Dimension(s) to perform metric over.

  • metric_kwargs (dict) – see mae()

Details:

minimum

0.0

maximum

∞

perfect

0.0

orientation

negative

See also

Reference:

  • Ian T. Jolliffe and David B. Stephenson. Forecast Verification: A Practitioner’s Guide in Atmospheric Science. John Wiley & Sons, Ltd, Chichester, UK, December 2011. ISBN 978-1-119-96000-3 978-0-470-66071-3. URL: http://doi.wiley.com/10.1002/9781119960003.