average & std. deviation for non-contiguous time slices

I am trying to implement a statistical comparison similar to the one in the climo1.ncl example script. The problem is that I am working with satellite imagery that is irregularly spaced in time and not monthly climatology so I don’t think I can use clmMonLLT & stdMonLLT. Also, the dim_sum_n function requires all of the data to be in the same file, which these are not. I suppose I could construct such a file from the separate data files.

My question is: Is there a better method for finding the average and standard deviation of a non-contiguous group of time slices?

Thanks, Ray Sambrotto

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Lamont-Doherty Earth Observatory
61 Rt. 9W / Palisades, NY 10964 USA

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Received on Wed Mar 12 09:02:42 2014