Chris,
The data is a global grid that has a value for every cell. The values were obtained by fitting a function to a set of irregularly spaced points and then sampling the function at the center of each cell.
Jim
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On Nov 21, 2013, at 3:59 PM, Chris Barker <Chris.Barker at noaa.gov> wrote:
> On Thu, Nov 21, 2013 at 9:05 AM, Jim Biard <jbiard at cicsnc.org> wrote:
> I have a variable that contains a time average of gridded temperature measurements. The grid is produced by a fit of irregularly-spaced point data (weather stations), and any given cell might not contain an actual measurement point. I understand that I should have a cell_method of ?time: mean? for the time axis, but what should I do for the lat/lon dimensions?
>
> Maybe I misunderstand your data, but I think that for this purpose, the "cell" is only in the time dimension -- it is still point data in the lat/lon dimensions. So each value of a given variable is still associated with a single lat and long. So you do the same thing as usual for that.
>
> HTH,
> -Chris
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> Grace and peace,
>
> Jim
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> Visit us on
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