EnsCrps {SpecsVerification}R Documentation

Calculate the ensemble-adjusted Continuous Ranked Probability Score (CRPS)

Description

Calculate the ensemble-adjusted Continuous Ranked Probability Score (CRPS)

Usage

EnsCrps(ens, obs, R.new = NA)

FairCrps(ens, obs)

Arguments

ens

a N*R matrix representing N time instances of real-valued R-member ensemble forecasts

obs

a numeric vector of length N with real-valued observations

R.new

positive number, can be 'Inf', ensemble size for which the scores should be adjusted, default is NA for no adjustment

Details

'FairCrps(ens, obs)' returns 'EnsCrps(ens, obs, R.new=Inf)'

Value

numeric vector of length N with the ensemble-adjusted CRPS values

References

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

See Also

EnsBrier, EnsRps, DressCrps, GaussCrps, ScoreDiff, SkillScore

Examples

data(eurotempforecast)
mean(EnsCrps(ens, obs, R.new=Inf))

[Package SpecsVerification version 0.5-3 Index]