I'm not familiar with the EASE grid but I just did a Google search for
it. I'm guessing you would be using a South azimuthal equal-area grid
which I believe should work with the new implementation.
I'm not sure I totally understand your situation, but if the invalid
data locations are clustered into identifiable regions (i.e. not
scattered throughout the whole data domain) then I think you could
simply stuff missing values into these locations in the data grid,
and the contouring code would be able to handle it.
-dave
dbrown@ucar.edu
On Thu, 8 Aug 2002, David Reusch wrote:
> 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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