[R] ncdf package problem - put.var.ncdf

[Steve Murray]

Dear all,
 
I am attempting to convert 10 NetCDF files into a single NetCDF file, due to the data input requirements of a model I hope to use. I am using the ncdf package, version 1.6. The data are global-scale water values, on a monthly basis for 10 years (ie. 120 months of data in total; at present the data are separated by year, with 12 months of data in each file - mrunoff_1986 through to mrunoff_1995). For each month there are 720 longitude x 360 latitude values, each with a corresponding runoff value (although some of these may be NAs). My problem is that I'm getting an error with the put.var.ncdf command, as shown below.
 
Here is my code so far:
 
 
# READ IN NetCDF FILES FROM DISK
 
library(ncdf)
 
year <- 1986:1995
file_list <- paste("mrunoff-",year,".nc", sep="")
file_list
 
start <- 1986
 
for (i in file_list) {
        assign(paste("netcdf_",start,"_temp", sep=""),open.ncdf(i))
        start = start+1
          }
 
# Start converting 10 files into 1
 
latitude <- get.var.ncdf(netcdf_1986_temp, "Lat")
longitude <- get.var.ncdf(netcdf_1986_temp, "Lon")
month <- get.var.ncdf(netcdf_1986_temp, "Mon")
 
year <- 1986:1995
 
mrunoff_1986 <- get.var.ncdf(netcdf_1986_temp, "mrunoff")
mrunoff_1987 <- get.var.ncdf(netcdf_1987_temp, "mrunoff")
mrunoff_1988 <- get.var.ncdf(netcdf_1988_temp, "mrunoff")
mrunoff_1989 <- get.var.ncdf(netcdf_1989_temp, "mrunoff")
mrunoff_1990 <- get.var.ncdf(netcdf_1990_temp, "mrunoff")
mrunoff_1991 <- get.var.ncdf(netcdf_1991_temp, "mrunoff")
mrunoff_1992 <- get.var.ncdf(netcdf_1992_temp, "mrunoff")
mrunoff_1993 <- get.var.ncdf(netcdf_1993_temp, "mrunoff")
mrunoff_1994 <- get.var.ncdf(netcdf_1994_temp, "mrunoff")
mrunoff_1995 <- get.var.ncdf(netcdf_1995_temp, "mrunoff")
 
 
# Define variable dimensions
 
dimx <- dim.def.ncdf("Lon", "deg E", as.double(longitude))
dimy <- dim.def.ncdf("Lat", "deg N", as.double(latitude))
month <- dim.def.ncdf("Mon", "Months: Jan 86=1, Dec 95=120)", 1:120)
year <- dim.def.ncdf("Year", "year", year)
 
# Assign data: extract mrunoff from each of the 10 files and put into one place
 
mrunoff_data <- dim.def.ncdf("mrunoff", "mm/month", c(mrunoff_1986, mrunoff_1987, mrunoff_1988, mrunoff_1989, mrunoff_1990, mrunoff_1991, mrunoff_1992, mrunoff_1993, mrunoff_1994, mrunoff_1995))
 
# Define runoff variable
 
mrunoff_dims <- var.def.ncdf("mrunoff_out", "mm/month", list(dimx, dimy, month), -9999.0, "Global Monthly Runoff for 1986-1995", "double")
 
# Create file
 
mrunoff_file <- create.ncdf("mrunoff.nc", mrunoff_dims)
 
# Put mrunoff data into the file
 
put.var.ncdf(mrunoff_file, mrunoff_dims, mrunoff_data)
 
# Write to disk
 
# close.ncdf(mrunoff_file)
 
 
 
 
However, when I run the code, I get the following error message:
 
> put.var.ncdf(mrunoff_file, mrunoff_dims, mrunoff_data)
Error in put.var.ncdf(mrunoff_file, mrunoff_dims, mrunoff_data) : 
  put.var.ncdf: error: you asked to write 31104000 values, but the passed data array only has 8 entries!
 
 
I can understand where the 31104000 comes from ((720*360)*12)*10, but am confused as to why only 8 values are being passed to put.var.ncdf.


I therefore tried doing a couple of tests to shed some light on this:
 
> length(dimx); length(dimy); length(mrunoff_dims); length(mrunoff_data)
[1] 8
[1] 8
[1] 9
[1] 8
 
 
> str(dimx); str(dimy)
List of 8
 $ name         : chr "Lon"
 $ units        : chr "deg E"
 $ vals         : num [1:720] 0.25 0.75 1.25 1.75 2.25 2.75 3.25 3.75 4.25 4.75 ...
 $ len          : int 720
 $ id           : num -1
 $ unlim        : logi FALSE
 $ dimvarid     : num -1
 $ create_dimvar: logi TRUE
 - attr(*, "class")= chr "dim.ncdf"
 
List of 8
 $ name         : chr "Lat"
 $ units        : chr "deg N"
 $ vals         : num [1:360] -89.8 -89.2 -88.8 -88.2 -87.8 ...
 $ len          : int 360
 $ id           : num -1
 $ unlim        : logi FALSE
 $ dimvarid     : num -1
 $ create_dimvar: logi TRUE
 - attr(*, "class")= chr "dim.ncdf"
 
 
> str(mrunoff_dims); str(mrunoff_data)
List of 9
 $ name    : chr "mrunoff_out"
 $ units   : chr "mm/month"
 $ missval : num -9999
 $ longname: chr "Global Monthly Runoff for 1986-1995"
 $ id      : num -1
 $ prec    : chr "double"
 $ dim     :List of 3
  ..$ :List of 8
  .. ..$ name         : chr "Lon"
  .. ..$ units        : chr "deg E"
  .. ..$ vals         : num [1:720] 0.25 0.75 1.25 1.75 2.25 2.75 3.25 3.75 4.25 4.75 ...
  .. ..$ len          : int 720
  .. ..$ id           : num -1
  .. ..$ unlim        : logi FALSE
  .. ..$ dimvarid     : num -1
  .. ..$ create_dimvar: logi TRUE
  .. ..- attr(*, "class")= chr "dim.ncdf"
  ..$ :List of 8
  .. ..$ name         : chr "Lat"
  .. ..$ units        : chr "deg N"
  .. ..$ vals         : num [1:360] -89.8 -89.2 -88.8 -88.2 -87.8 ...
  .. ..$ len          : int 360
  .. ..$ id           : num -1
  .. ..$ unlim        : logi FALSE
  .. ..$ dimvarid     : num -1
  .. ..$ create_dimvar: logi TRUE
  .. ..- attr(*, "class")= chr "dim.ncdf"
  ..$ :List of 8
  .. ..$ name         : chr "Mon"
  .. ..$ units        : chr "Months since Jan 1986 (Jan 86 =1)"
  .. ..$ vals         : int [1:120] 1 2 3 4 5 6 7 8 9 10 ...
  .. ..$ len          : int 120
  .. ..$ id           : num -1
  .. ..$ unlim        : logi FALSE
  .. ..$ dimvarid     : num -1
  .. ..$ create_dimvar: logi TRUE
  .. ..- attr(*, "class")= chr "dim.ncdf"
 $ ndims   : int 3
 $ unlim   : logi FALSE
 - attr(*, "class")= chr "var.ncdf"
 
List of 8
 $ name         : chr "mrunoff"
 $ units        : chr "mm/month"
 $ vals         : num [1:31104000] NA NA NA NA NA NA NA NA NA NA ...
 $ len          : int 31104000
 $ id           : num -1
 $ unlim        : logi FALSE
 $ dimvarid     : num -1
 $ create_dimvar: logi TRUE
 - attr(*, "class")= chr "dim.ncdf"
 
 
 
As you can see from this, the length of the objects and the $len values of the objects differ - the latter being the intended values - plus all the data (e.g. 1:31104000) appear to be present in the str of the object. I'm struggling to see therefore why only 8 'bits' of data are being passed on.
 
Any help at all would be much appreciated.
 
Thanks for your suggestions,
 
Steve
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