R: Calculate the ensemble-adjusted Continuous Ranked Probability...

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]