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]