Description Usage Arguments Details Value References See Also Examples
Calculate the ensemble-adjusted Brier Score
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ens |
a N*R matrix representing N time instances of R-member ensemble forecasts of binary events; ens[t,r]=1 if the r-th ensemble member at time t predicted the event, otherwise ens[t,r]=0 |
obs |
a numeric vector of length N with binary observations; obs[t]=1 if the event happens at time t, otherwise obs[t]=0 |
R.new |
ensemble size for which the scores should be adjusted |
'FairBrier(ens, obs)' returns 'EnsBrier(ens, obs, R.new=Inf)'
numeric vector of length N with the ensemble-adjusted Brier scores
Ferro CAT, Richardson SR, Weigel AP (2008) On the effect of ensemble size on the discrete and continuous ranked probability scores. Meteorological Applications. doi: 10.1002/met.45
EnsRps, EnsCrps, ScoreDiff, SkillScore
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[1] 0.1316425
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