Interpolates data on a curvilinear grid (i.e. RCM, WRF, NARR) to a rectilinear grid.
function rcm2rgrid ( lat2d [*][*] : numeric, lon2d [*][*] : numeric, fi : numeric, lat [*] : numeric, lon [*] : numeric, Option : numeric ) return_val : numeric
A two-dimensional array that specifies the latitudes locations of fi. Because this array is two-dimensional it is not an associated coordinate variable of fi. The latitude order must be south-to-north.lon2d
A two-dimensional array that specifies the longitude locations of fi. Because this array is two-dimensional it is not an associated coordinate variable of fi. The longitude order must be west to east.fi
A multi-dimensional array to be interpolated. The rightmost two dimensions (latitude, longitude) are the dimensions to be interpolated.lat
A one-dimensional array that specifies the latitude coordinates of the regular grid. Must be monotonically increasing.lon
A one-dimensional array that specifies the longitude coordinates of the regular grid. Must be monotonically increasing.Option
Reserved for future use. Currently not used. Set to 1.
A multi-dimensional array of the same size as fi except that the rightmost dimension sizes have been replaced by the sizes of lat and lon respectively. Double if fi is double, otherwise float.
Interpolates RCM (Regional Climate Model), WRF (Weather Research and
Forecasting) and NARR (North American Regional Reanalysis) grids to
The weighting method used is simple inverse distance squared. missing values are allowed but ignored.
The code searches the input curvilinear grid latitudes and longitudes for the four grid points that surround a specified output grid coordinate. Because one or more of these input points could contain missing values (@_FillValue), fewer than four points could be used in the interpolation.
Curvilinear grids which have two-dimensional latitude and longitude coordinate axes present some issues because the coordinates are not necessarily monotonically increasing. The simple search algorithm used by rcm2rgrid is not capable of handling all cases. The result is that, sometimes, there are small gaps in the interpolated grids. Beginning with v6.0.0: any interior points not interpolated in the initial interpoltion pass will be filled using linear interpolation. In some cases, edge points may not be filled.
Interpolate to a gaussian T42 (64,128) grid.
lat = latGau(64) ; create gaussian latitudes or read from file lon = fspan(0,359,128) ; create longitudes or read from file f = addfile ("some_RCM_file.nc", "r") lat2d = f->xlat ; size = (nlat,nlon) lon2d = f->xlon ; size = (nlat,nlon) x = f->X xgrd = rcm2rgrid(lat2d,lon2d,x,lat,lon,0)
If x was of size:
x(nlat,nlon) ==> xgrd(64,128) x(ntim,nlat,nlon) ==> xgrd(ntim,64,128) x(ntim,klev,nlat,nlon) ==> xgrd(ntim,klev,64,128)
If the latitudes are ordered north-to-south, reorder the coordinates and the assiciated data.
precip = f->precip ; (time,lat,lon) lat2d = f->xlat ; lat order is S->N lon2d = f->xlon lat2d = (/ lat2d(::-1,:) /) ; rearrange values only precip = (/ precip(:,::-1,:) /)