[ncl-talk] rcm2rgrid

[Dennis Shea]

As suggested by Andrew, the ESMF approach is the way to go.

[1] Save the weight file. Note: generating the weight file may be slow but
it is done once.
[2] Regrid using the weight file generated in [1]. This should be VERY
FAST! It is basically a sparse matrix multiply.

http://www.ncl.ucar.edu/Document/Functions/ESMF/ESMF_regrid_with_weights.shtml
[3] See

http://www.ncl.ucar.edu/Applications/ESMF.shtml
EXample 4 + numerous others.

Good luck



On Thu, Dec 1, 2016 at 2:17 PM, debasish mazumder <debasish at ucar.edu> wrote:

> I tried with ESMF regridding but it is still slow. Any other suggestion?
> -Deb
>
> On 12/1/16 1:14 PM, Andrew Kren - NOAA Affiliate wrote:
> > I would try to use the NCL ESMF regridding tools, much faster and more
> > options
> >
> > On Thu, Dec 1, 2016 at 1:12 PM, debasish mazumder <debasish at ucar.edu
> > <mailto:debasish at ucar.edu>> wrote:
> >
> >     Hi All,
> >
> >     I am trying to interpolates data on a curvilinear grid to to a
> >     rectilinear grid using rcm2rgrid.
> >     Input data dimension is tmax(time = 12 months, y = 8075, x = 7814)
> and
> >     lat2d(y = 8075, x = 7814), lon2d(y = 8075, x = 7814)
> >
> >     output lat(192) and lon(288)
> >
> >     tmaxi  = rcm2rgrid(lat2d,lon2d,tmax,lat,lon,0)
> >
> >     It took forever to perform the interpolation. Is there any faster
> way do
> >     that.
> >
> >     with regards
> >     -Deb
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> >
> >
> >
> > --
> > Andrew Kren, PhD
> > Research Scientist I, Global Observing Systems Analysis (GOSA) Group
> > NOAA ESRL Global Systems Division (Rm 3C515)
> > 325 Broadway, Boulder, CO 80305
> > (303) 497-5418 <tel:%28303%29%20497-5418>
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