[ncl-talk] superobbing

[Andrew Kren - NOAA Affiliate]

Dear ncl-talk,

I am thinning some data prior to assimilating it in the HWRF model. The
data is temperature and moisture vertical profiles that is one-dimensional,
a function of time. The lat/lon points of the data is also a function of
time, so there is a spatial element to it. Basically, I want to superob the
data to create a mean observation within some grid box size to thin it. I
would need to regrid the data and search how many profiles within the
specified grid size. My question is what would be the best way to achieve
this via NCL?

Thanks,

-- 
Andrew Kren
Assistant Scientist
CIMAS - NOAA/AOML
314-322-0867
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