On Thu, Aug 08, 2002 at 05:34:37PM -0600, Dave Brown wrote:
>If, as you say, the original data are actually gridded -- that is,
>representable as a 2d array with indexes (i,j), and you can build
>associated 2d lat and lon coordinate arrays with matching dimension sizes,
>then you should be able to contour the data directly using the newest
>version of NCL. The contour boundaries will exactly match the data
>boundaries.
Gridded, yes. Rectangular, no. I start with a square EASE grid
centered over the pole and spaced at 250 km. Unfortunately, I'm
not using the whole grid in subsequent processing, thus some of
the points must either be designated undefined or removed entirely.
The former gives the contouring tools I've tried fits and the
latter leads to a non-rectangular dataset. Using more data is
out simply because it's outside our area of study. Forcing a
rectangular subset is messy (impossible?) because we're too
close to the pole (we go to 87.75 S). I was thinking one answer
might be to connect all the boundary points and somehow use that
polygonal shape as a mask?
>I'm not sure if this version has been released yet...
I saw a reference to this capability in the archives from last
fall and was wondering if it was out yet. It might just be
the answer to all my visualization problems!
cheers,
dave
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