afc.de: 2AFC For Dichotomous Observations And Ensemble Forecasts

In afc: Generalized Discrimination Score

2AFC For Dichotomous Observations And Ensemble Forecasts

Description

Routine to calculate the Generalized Discrimination Score (aka Two-Alternatives Forced Choice Score 2AFC) for the situation of dichotomous observations and ensemble forecasts

Usage

afc.de(obsv, fcst, na.rm = FALSE)

Arguments

obsv	vector with dichotomous observations (values in {0,1})
fcst	two-dimensional array with ensemble forecasts; dim(fcst)[1] = length(obsv); dim(fcst)[2] = ensemble size
na.rm	logical; if TRUE pairs where obsv or fcst is NA are removed before scoring. Default FALSE returns NA if any input contains NA.

Details

This routine first ranks the ensemble forecasts (see rank.ensembles) and then calculates the 2AFC-score with Eq.2 of Mason and Weigel (2009).

Value

p.afc

Value of Generalized Discrimination (2AFC) Score

Author(s)

Andreas Weigel, Federal Office of Meteorology and Climatology, MeteoSwiss, Zurich, Switzerland

References

S.J. Mason and A.P. Weigel, 2009. A generic verification framework for administrative purposes. Mon. Wea. Rev., 137, 331-349

See Also

afc rank.ensembles

Examples

  data(cnrm.nino34.de)
  obsv = cnrm.nino34.de$obsv
  fcst = cnrm.nino34.de$fcst
  afc.de(obsv,fcst)

afc documentation built on Sept. 11, 2026, 9:08 a.m.