afc (version 1.4.0)

afc.ce: 2AFC For Continuous Observations And Ensemble Forecasts

Description

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

Usage

afc.ce(obsv, fcst)

Arguments

obsv

vector with real-valued observations

fcst

two-dimensional array with ensemble forecasts; dim(fcst)[1] = length(obsv); dim(fcst)[2] = ensemble size

Value

p.afc

Value of Generalized Discrimination (2AFC) Score

Details

This routine first ranks the ensemble forecasts (see rank.ensembles) and then calculates the 2AFC-score with Eq.22 of Mason and Weigel (2009).

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

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

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

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