## Create an example NetCDF file with a similar structure as used by CM
## SAF. The file is created with the ncdf4 package. Alternatively
## example data can be freely downloaded here:
library(ncdf4)
## create some (non-realistic) example data
lon <- seq(5, 6, 0.5)
lat <- seq(45, 47, 0.5)
time <- seq(as.Date("2000-01-01"), as.Date("2002-12-31"), "month")
origin <- as.Date("1983-01-01 00:00:00")
time <- as.numeric(difftime(time, origin, units = "hour"))
data <- aperm(array(c(1:369), dim = c(3, 5, 36)), c(2, 1, 3))
## create example NetCDF
x <- ncdim_def(name = "lon", units = "degrees_east", vals = lon)
y <- ncdim_def(name = "lat", units = "degrees_north", vals = lat)
t <- ncdim_def(name = "time", units = "hours since 1983-01-01 00:00:00",
vals = time, unlim = TRUE)
var1 <- ncvar_def("SIS", "W m-2", list(x, y, t), -1, prec = "short")
vars <- list(var1)
ncnew <- nc_create(file.path(tempdir(),"CMSAF_example_file.nc"), vars)
ncvar_put(ncnew, var1, data)
ncatt_put(ncnew, "lon", "standard_name", "longitude", prec = "text")
ncatt_put(ncnew, "lat", "standard_name", "latitude", prec = "text")
nc_close(ncnew)
## Estimate the regression parameter b values of the example CM SAF NetCDF file and write
## the output to a new file.
cmsaf.regres(var = "SIS", infile = file.path(tempdir(),"CMSAF_example_file.nc"),
outfile = file.path(tempdir(),"CMSAF_example_file_regres.nc"))
unlink(c(file.path(tempdir(),"CMSAF_example_file.nc"),
file.path(tempdir(),"CMSAF_example_file_regres.nc")))
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