climpred.metrics._rmse¶

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

Root Mean Sqaure Error (RMSE).

$RMSE = \sqrt{\overline{(f - o)^{2}}}$

The square root of the average of the squared differences between forecasts and verification data.

Parameters

forecast (xarray object) – Forecast.
verif (xarray object) – Verification data.
dim (str) – Dimension(s) to perform metric over.
metric_kwargs (dict) – see rmse()

Details:

minimum	0.0
maximum	∞
perfect	0.0
orientation	negative

See also

rmse()

Example

>>> HindcastEnsemble.verify(metric='rmse', 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 0.07875 0.08085 0.08815 ... 0.1371 0.1555 0.1664