[gradsusr] Regridding in GrADS

Wesley Ebisuzaki - NOAA Federal wesley.ebisuzaki at noaa.gov
Thu Jul 26 10:23:36 EDT 2018


Joseph,

I would use copygb.  Copygb has a few types of interpolation
methods and you can define fields that are vector interpolated.
(Affects winds near the poles.)

Wesley



On Wed, Jul 25, 2018 at 9:59 PM, Joseph Basconcillo <
jbasconcillo at pagasa.dost.gov.ph> wrote:

> Hi, I have NCEP-RA2 data that I want to regrid to N768 resolution, which
> is about 0.17 deg in midlatitude.
>
> I used:
>
> 'define newvar=re(var, 0.17)'
>
> And it worked.
>
> However, the file size is smaller than I expected. The original size is
> 63MB (2.5 deg) and when I regrid them to 0.17 deg, the file size resulted
> to about 17.5MB. I have my doubts considering I re-gridded the data to
> higher resolution. File size should be higher. That was what I expected.
>
> Then when I used to tloop and area-average to test the data:
>
> 'd tloop(aave(var,global))'
>
> A prompt appeared that "entire grid are set to missing data". And it kept
> looping for few minutes. My guess is that the re-gridding did not "regrid"
> through time and considered only the first timestep. Can you help me on
> this?
>
> Also, is there an option for regridding method (e.g. bilinear)?
>
> Thank you.
>
> Yours,
>
> Joseph Basconcillo
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