Nothing
crps.fitMOSlognormal <-
function(fit, ensembleData, dates=NULL, ...)
{
if(!is.null(dates)) warning("dates ignored")
crpsFunc <- function(mu, sig, y)
{
z <- (log(y) - mu)/sig
crps <- y*(2*pnorm(z)-1) - 2*exp(mu+sig^2/2)*(pnorm(z-sig)
+ pnorm(sig/sqrt(2)) - 1)
crps
}
M <- matchEnsembleMembers(fit,ensembleData)
nForecasts <- ensembleSize(ensembleData)
if (!all(M == 1:nForecasts)) ensembleData <- ensembleData[,M]
# remove instances missing all forecasts or obs
M <- apply(ensembleForecasts(ensembleData), 1, function(z) all(is.na(z)))
M <- M | is.na(ensembleVerifObs(ensembleData))
ensembleData <- ensembleData[!M,]
if (is.null(obs <- ensembleVerifObs(ensembleData)))
stop("verification observations required")
nObs <- ensembleNobs(ensembleData)
nForecasts <- ensembleSize(ensembleData)
CRPS <- rep(NA, nObs)
obs <- ensembleVerifObs(ensembleData)
ensembleData <- ensembleForecasts(ensembleData)
crpsEns1 <- apply(abs(sweep(ensembleData, MARGIN=1,FUN ="-",STATS=obs))
,1,mean,na.rm=TRUE)
if (nrow(ensembleData) > 1) {
crpsEns2 <- apply(apply(ensembleData, 2, function(z,Z)
apply(abs(sweep(Z, MARGIN = 1, FUN = "-", STATS = z)),1,sum,na.rm=TRUE),
Z = ensembleData),1,sum, na.rm = TRUE)
}
else {
crpsEns2 <- sum(sapply(as.vector(ensembleData),
function(z,Z) sum( Z-z, na.rm = TRUE),
Z = as.vector(ensembleData)), na.rm = TRUE)
}
crpsEns <- crpsEns1 - crpsEns2/(2*(nForecasts*nForecasts))
B <- fit$B
if (!all(Bmiss <- is.na(B))) {
A <- fit$a
C <- fit$c
D <- fit$d
for (i in 1:nObs) {
f <- ensembleData[i,]
S.sq <- var(f)
f <- c(1,f)
Mval <- c(A,B)%*%f
Vval <- C + D*S.sq
Mu <- log(Mval^2/sqrt(Vval + Mval^2)) #mean of normal
Sig <- sqrt(log(1 +(Vval/(Mval^2)))) #std dev of normal
CRPS[i] <- crpsFunc(Mu, Sig, obs[i])
}
}
cbind(ensemble = crpsEns, EMOS = CRPS)
}
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