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
  beta1 | linear regression slope (type 1 conditional bias)
  beta2 | linear regression slope (type 2 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
  NMSE	normalized 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 – Dictionary containing the verification results.

Return type:

dict