# rcm2rgrid

Interpolates data on a curvilinear grid (i.e. RCM, WRF, NARR) to a rectilinear grid.

## Prototype

function rcm2rgrid ( lat2d [*][*] : numeric, lon2d [*][*] : numeric, fi : numeric, lat [*] : numeric, lon [*] : numeric, Option : numeric ) return_val : numeric

## Arguments

*lat2d*

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.

## Return value

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rightmost dimension sizes have been replaced by the sizes of *lat*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.

## Description

Interpolates RCM (Regional Climate Model), WRF (Weather Research and Forecasting) and NARR (North American Regional Reanalysis) grids to a rectilinear grid. Actually, this function will interpolate most grids that use curvilinear latitude/longitude grids. No extrapolation is performed beyond the range of the input coordinates. Missing values are allowed but ignored.

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 interpolation pass will be filled
using linear interpolation. In some cases, edge points may not be filled.

## See Also

**rgrid2rcm**, **rcm2points**,
**ESMF_regrid**

## Examples

**Example 1**

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)

**Example 2**

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,:) /)