R: Calculate the Continuous Ranked Probability Score (CRPS) for...

DressCrps {SpecsVerification} | R Documentation

## Calculate the Continuous Ranked Probability Score (CRPS) for a mixture of Normal distributions, for example generated by ensemble dressing

### Description

Calculate the Continuous Ranked Probability Score (CRPS) for a mixture of Normal distributions, for example generated by ensemble dressing

### Usage

    DressCrps(dressed.ens, obs)

### Arguments

`dressed.ens` | a list with elements 'ens', a N*R matrix representing N time instances of kernel centers, and 'ker.wd', a N*R matrix with corresponding kernel standard deviations. See function 'DressEnsemble'
`obs` | a numeric vector of length N with real-valued observations

### Value

numeric vector of length N with the CRPS values

### References

Grimit et al (2006): The continuous ranked probability score for circular variables and its application to mesoscale forecast ensemble verification. Q.J.R. Meteorol. Soc. doi: 10.1256/qj.05.235

### See Also

EnsCrps, ScoreDiff, SkillScore

### Examples

    data(eurotempforecast)
    dressed.ens <- DressEnsemble(ens)
    mean(DressCrps(dressed.ens, obs))

[Package SpecsVerification version 0.5-3 Index]