climpred.metrics._bias_slope

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

Bias slope between verification data and forecast standard deviations.

\text{bias slope} = \frac{s_{o}}{s_{f}} \cdot r_{fo},

where r_{fo} is the Pearson product-moment correlation between the forecast and the verification data and s_{o} and s_{f} are the standard deviations of the verification data and forecast over the experimental period, respectively.

Parameters

  • forecast (xarray object) – Forecast.

  • verif (xarray object) – Verification data.

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

  • metric_kwargs (dict) – see pearson_r() and

:param std():

Details:

minimum

0.0

maximum

∞

perfect

1.0

orientation

negative
Reference: