afc.de: 2AFC For Dichotomous Observations and Ensemble Forecasts
In afc: Generalized Discrimination Score

Description Usage Arguments Details Value Author(s) References See Also Examples

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

1	afc.de(obsv, fcst)

`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

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

p.afc

Value of Generalized Discrimination (2AFC) Score

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

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

afc rank.ensembles

  #Forecasts and observations of Nino-3.4 index
  #Load set of dichotomous observations and 9-member ensemble forecasts
  data(cnrm.nino34.de)
  obsv = cnrm.nino34.de$obsv
  fcst = cnrm.nino34.de$fcst

 #Calculate skill score
  afc.de(obsv,fcst)