[ncl-talk] regridding routine for grids with 2D lat and lon

Diana Stovern - NOAA Affiliate diana.stovern at noaa.gov
Wed Apr 29 16:17:32 MDT 2020


Hello,

I need to regrid rainfall data from a lambert conformal grid to a polar
sterographic grid.  The lat and lon data in both grids are 2D arrays (see
filedump output below).  Is there a regridding routine in NCL that allows
for both the input and output lat and lon to be 2D arrays?  I see most of
the routines require lat and lon to be 1D arrays.

Thanks!

Diana Stovern


*Grid 1:*
      float gridlat_0 ( ygrid_0, xgrid_0 )
         corners :      ( 23.117, 19.80368, 45.61871, 53.51192 )
         long_name :    latitude
         grid_type :    Polar Sterographic Projection (North or South)
         units :        degrees_north
         Dy :   4.763
         Dx :   4.763
         Lov :  255
         Lo1 :  240.977
         La1 :  23.117

      float gridlon_0 ( ygrid_0, xgrid_0 )
         corners :      ( -119.023, -80.74672, -59.95137, -134.043 )
         long_name :    longitude
         grid_type :    Polar Sterographic Projection (North or South)
         units :        degrees_east
         Dy :   4.763
         Dx :   4.763
         Lov :  255
         Lo1 :  240.977
         La1 :  23.117

*Grid 2:*
      float gridlat_0 ( ygrid_0, xgrid_0 )
         corners :      ( 20.192, 20.33182, 54.37271, 54.20572 )
         long_name :    latitude
         grid_type :    Lambert Conformal (secant, tangent, conical or
bipolar)
         units :        degrees_north
         Latin2 :       25
         Latin1 :       25
         Dy :   2.539702
         Dx :   2.539703
         Lov :  265
         Lo1 :  238.446
         La1 :  20.192

      float gridlon_0 ( ygrid_0, xgrid_0 )
         corners :      ( -121.554, -69.20839, -59.04248, -131.9951 )
         long_name :    longitude
         grid_type :    Lambert Conformal (secant, tangent, conical or
bipolar)
         units :        degrees_east
         Latin2 :       25
         Latin1 :       25
         Dy :   2.539702
         Dx :   2.539703
         Lov :  265
         Lo1 :  238.446
         La1 :  20.192
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