Peter,
Have you tried:
my_var[gx=lo_x:hi_x:delta_x, gy=lo_y:hi_y:delta_y]?
The default algorithm is bi-linear interpolation.
see
http://ferret.pmel.noaa.gov/Ferret/documentation/users-guide/Grids-Regions/GRIDS#_VPINDEXENTRY_653
- Steve
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Peter Szabo wrote:
Dear All,
I have a data set on a coarse, lat-lon grid. Say it is 0.1˚ X 0.1˚ and
i want it to be on a 0.01˚ X 0.01˚ but getting
newer informations into my original data set related to finer surface,
like smaller hills, desert, lakes(?). Is there an intelligent
interpolation method for doing this? If i am not mistaken, the Laplacian gridding algorithm (scat2gridlaplace)
fits a surface function to the
points i have and then interpolates to the newer grid from that
surface. But is it applicable to solve this problem? What kind of
surface does it use?
Any help is appreciated :)
Peter Szabo
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