[ncl-talk] 2-D Kernel Convolution in NCL...

[Dennis Shea]

Hi Bill,

Sorry: NCL does not have an equivalent to IDL's 'convol'

D

On Tue, Jul 10, 2018 at 9:38 AM, Capehart, William J <
William.Capehart at sdsmt.edu> wrote:

> Hi All
>
> I am working with a dataset with strong horizontal linear features in the
> data (created by download errors).  I'm working on a diagnostic to lock on
> to these horizontal discontinuities with mixed results (so far they're
> great with temperatures with high expected spatial correlation, but not so
> great for precipitation and other fields with lower expected spatial
> correlation).
>
> I'm wanting to try a remote sensing/image processing solution using kernel
> filters with the window being a classic W = [[1,1,1],[-1,-1,-1]] or W =
> [[1,1,1],[0,0,0],[-1,-1,-1]] kernel window but I am not seeing an
> equivalent in NCL that we use in IDL with its convol() function.
>
> e.g., https://www.harrisgeospatial.com/docs/convol.html
>
> Is there an option in NCL that lets me do this with little slowdown or
> drama or should I stick with a WRAPIT Fortran Function with OpenMP to speed
> it up?
>
> Cheers-n-Thanks
> Bill
>
> ------------------------------------------------------------
> ---------------------------
> Dr. Bill Capehart <William.Capehart at sdsmt.edu>
> Director, Atmospheric and Environmental Sciences Program
> Department of Civil and Environmental Engineering
> 201 Mineral Industries Building
> South Dakota School of Mines and Technology
> 501 East St Joseph Street
> Rapid City, SD 57701-3995
> Ph: +1-605-394-1994   Mobile: +1-605-484-5692
>
>
>
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