Re: interpolation question

The data are quite sparse.

It may be best to analyze the anomalies rather than the total field.
A Barnes/Cressman style analysis may be appropriate.

You might look at the following although it can be slow.

http://www.ncl.ucar.edu/Document/Functions/Contributed/obj_anal_ic_deprecated.shtml

    opt = True

    opt@zonal = True
or
    opt@guess = (/ sst(...) /)

; sst is (say) a climatology appropriate for the day or month of the
observations.

On 7/20/11 2:03 AM, shinn wong wrote:
> Dear all,
> I have got random ocean data in different 2x2 grid at each time step
> (see the attached figure). How can I interpolate the data so that they
> have valid values over all the ocean areas? Which interpolation function
> best suits this suitation? I have tried some interpolation function.
> After the interpolation, the land area will also have data and the
> interpolated values differ largely from the original one. Could anyone
> give me some helps on this? Thank you.
> Best regards,
> Shinn
>
>
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Received on Wed Jul 20 09:50:51 2011