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

GaussCrps {SpecsVerification} | R Documentation

## Calculate the Continuous Ranked Probability Score (CRPS) for forecasts issued as Normal distributions

### Description

Calculate the Continuous Ranked Probability Score (CRPS) for forecasts issued as Normal distributions

### Usage

    GaussCrps(mean, sd, obs)

### Arguments

`mean` | A vector of length N. The forecast means.
`sd` | A vector of length N. The forecast standard deviations.
`obs` | A numeric vector of length N of real-valued verifying observations

### Value

numeric vector of length N with the CRPS values

### References

Gneiting et al (2005). Calibrated Probabilistic Forecasting Using Ensemble Model Output Statistics and Minimum CRPS Estimation. Mon. Wea. Rev. doi: 10.1175/MWR2904.1

### See Also

EnsCrps, DressCrps, ScoreDiff, SkillScore

### Examples

    data(eurotempforecast)
    mean <- rowMeans(ens)
    sd <- apply(ens, 1, sd)
    mean(GaussCrps(mean, sd, obs))

[Package SpecsVerification version 0.5-3 Index]