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]