# nolint start
#setwd("/usr/people/bakker/KNMI14/transformatie/droogte")
setwd("/nobackup/users/photiado/KNMI14_scenarios_2/transformatie/droogte")
rm(list=ls(all=TRUE))
source("../station_transform_functions.R")
var="evmk"
version <- "v1.0"
scenarios <- c("","GL","GH","WL","WH")
periodes <- c("ref","2030","2050","2085")
range="19810101-20101231"
products <- data.frame("sum"=1)
drempels <- vector()
for(p in periodes) {
for(sc in scenarios) {
if(( (p == "2030" | p == "ref") & sc == "") | (p != "2030" & p != "ref" & sc != "")) {
print(paste(sc,p))
ev <- read.table(paste("../tijdreeksen/",file.name(sc=sc,p=p,var=var,range=range,v=version),sep=""))
h.ids <- which(ev[,1]==0)
header <- ev[h.ids,]; header[,1] <- "00000000"
names(ev) <- c("date",round(ev[1,-1],0))
ev <- ev[-h.ids,]
mm <- (ev[,1]%/%100)%%100
ss <- as.integer((mm/3)%%4+1)
yy <- ev[,1]%/%10000
wy <- ifelse(mm<12,yy,yy+1)
tabel <- as.data.frame(matrix(NA,5*(length(drempels)+sum(products)),ncol(ev)))
names(tabel) <- names(ev)
i=0
# seasonal variables
for(season in 0:4) {
if(season==0) {
id <- 1:length(yy)
idy <- yy
} else {
if(season==1) {
id <- which(ss==1 & wy > min(wy) & wy < max(wy))
idy <- wy[id]
} else {
id <- which(ss==season)
idy <- yy[id]
}
}
if(length(drempels>0)) {
for(j in 1:length(drempels)) {
i=i+1
dname <- paste("N_",drempels[j],"mm",season,sep="")
tabel[i, 1] <- paste(dname,substr(" ",1,8-nchar(dname)))
tabel[i,-1] <- apply(ev[id,-1]>=drempels[j],2,sum) / length(unique(yy))
}
}
prod="sum" # sd seizoenssom EV
if(products[prod]==1) {
dname=paste(prod,season,sep="")
i=i+1
tabel[i, 1] <- paste(dname,substr(" ",1,8-nchar(dname)))
#X <- aggregate(ev[id,-1],by=list(idy), sum)
#tabel[i,-1] <- apply(X[,-1] , 2 , sd)
tabel[i,-1] <- apply(ev[id,-1],2,sum)/30
}
} # end seasonal variables
# schrijf weg naar ASCII bestand
ofile <- paste("../klimatologie/klimaat_",file.name(sc=sc,p=p,var=var,range=range,v="v1.0"),sep="")
sink(ofile)
# comments
writeLines("# Climatologies derived from transformed Makkink crop reference evaporation")
writeLines("# Royal Netherlands Meteorological Institute (KNMI)")
writeLines("# processed for the KNMI14 climate change scenarios")
if(p == "ref") {
writeLines("# reference data")
} else {
if(p != "2030") writeLines(paste("# scenario",sc))
writeLines(paste("# time horizon",p))
writeLines(paste("# transformation = ",version))
}
# header
write.table(format(header[ 1,],width=10,justify="right"),row.names=F,col.names=F,quote=F)
write.table(format(header[-1,],width=10,justify="right"),row.names=F,col.names=F,quote=F)
# transformed data
write.table(format(tabel,width=10,digits=2,justify="right"),row.names=F,col.names=F,quote=F)
sink()
} # if(p == "MOC" | p == "EOC" | sc == "G") {
} # sc
} # period
# nolint end
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