climpred.metrics._spearman_r_p_value

climpred.metrics._spearman_r_p_value(forecast, verif, dim=None, **metric_kwargs)

Probability that forecast and verification data are monotonically uncorrelated.

Two-tailed p value associated with the Spearman’s rank correlation coefficient (spearman_r), assuming that all samples are independent. Use spearman_r_eff_p_value to account for autocorrelation in the forecast 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 spearman_r_p_value()

Details:

minimum	0.0
maximum	1.0
perfect	1.0
orientation	negative

See also

• spearman_r()

• spearman_r_p_value()

• _spearman_r()

• _spearman_r_eff_p_value()