pysteps.verification.detcontscores.det_cont_fct_compute

pysteps.verification.detcontscores.det_cont_fct_compute(err, scores='')

Compute simple and skill scores for deterministic continuous forecasts from a verification error object.

Parameters:

err : dict

A verification error object initialized with pysteps.verification.detcontscores.det_cont_fct_init() and populated with pysteps.verification.detcontscores.det_cont_fct_accum().

scores : {string, list of strings}, optional

The name(s) of the scores. The default, scores=”“, will compute all available scores. The available score names are:

Name	Description
beta	linear regression slope (conditional bias)
corr_p	pearson’s correleation coefficien (linear correlation)
DRMSE	debiased root mean squared error, i.e. \(DRMSE = \sqrt{RMSE - ME^2}\)
MAE	mean absolute error
ME	mean error or bias
MSE	mean squared error
RMSE	root mean squared error
RV	reduction of variance (Brier Score, Nash-Sutcliffe Efficiency), i.e. \(RV = 1 - \frac{MSE}{s^2_o}\)

Returns:

result : dict

Dictionary containing the verification results.