I am running a regional model with an approximate grid of 100x110
(latxlon). The coordinates are lat2d(100,110) and lon2d(100,110).
I need to specify which points are lakes and how deep.
I have a dataset with lake depths at different points. So, it contains,
say, depth(10000), lat(10000), and lon(10000). To add to the complication,
lat2d and lon2d do not match lat and lon so I need to find where the points
are closest to each other.
I need to create a variable z(100,110), which is either 0 if no lake or
some value from depth() if there is a lake (at the closest point).
What is the quickest way to match these different grids (points versus
grid) and create z? I have tried triple do loops, gc_latlon, and
triple2grid2d but not very successfully.
Hope this makes sense (:
Thanks, Mike
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Received on Mon Jul 09 2007 - 21:50:20 MDT
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