IMHO your problem is a wrong Longvector
and a wrong count
argument in put.var.ncdf
, e.q. this works for me (please note: I changed the matrix generation in your for
loop):
library("ncdf")
# Setting dimensions
space <- 5
Longvector = seq(-180, 180, by = space)
Latvector = seq(-90, 90, by = space)
dimMATR <- length(Longvector)
dimMATC <- length(Latvector)
dimX <- dim.def.ncdf("Long", "degrees", Longvector)
dimY <- dim.def.ncdf("LAT", "degrees", Latvector)
dimT <- dim.def.ncdf("Time", "days", 1:12, unlim = FALSE)
# Create 3d Matrix
m3d <- array(0, dim = c(dimMATR,dimMATC,12))
for (i in 1:12){
m <- matrix(sample(dimMATR*dimMATC), dimMATR, dimMATC)
m3d[,,i]<-t(m)
remove(m)
}
# Create NetCDF
mv <- -9999 # missing value to use
var3d <- var.def.ncdf( "monthlyav_sst", "units", list(dimX,dimY,dimT), mv,prec="double")
nc <- create.ncdf( "monthlyav_sst.nc", var3d)
put.var.ncdf(nc, var3d, m3d, start=c(1, 1, 1), count=dim(m3d))
close(nc)