
Dear all,

I have in my possession a netcdf from which I want to extract some data files. I have used the "ncdf" package to read the netcdf file and used the "get.var.ncdf" function to identify the variable i wish to use. The data is in the form of a time-series of geographical data points that relate to climatology variables. As such I have a large data frame, "clim", of the following dimensions:

[720, 360, 132]

The 720 and 360 values relate to longitude and latitude points on the globe and there are 132 different time-series grids. What I wish to do is extract each of the individual time-series data grids and save them separately. So something along the lines of...

a <- clim[1:720, 1:360, 1]
b <- clim[1:720, 1:360, 2]
c <- clim[1:720, 1:360, 3]

...and so on, all the way up to 132.

To do this manually for each different z-coordinate of "clim" and save them is possible but requires me to write a fairly large amount of code for what seems like a simple operation. I was wondering if anyone could give me some advice on setting up some sort of loop function to step through each z-coordinate and extract the appropriate 720x360 grid and then save this grid in the form of a text file. It is neccessary that each grid has a different name. I had a read around and think that a "for" loop would do the job, i.e. something in the form of...

for (i in 1:132)
a <- clim[1:720, 1:360, i]

...and then use the "write.table" function to save my grid as a text file. However, my problem is that I'm not sure how to structure my loop so that each 720x360 grid will be given a different name. I'm also unaware as to how to incorporate my different names into "write.table". Is it possible to set up a loop for this function and again step through each file and save them separately? Or should I use a different function to save my grids?

Thanks in advance for your help.

Andy



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