Gaussian grids in R
Edzer - I'm using the T62 grids of temperature and precip to feed a model. The other datasets in the workflow are in geographic CRS, so I need to reproject the T62 data into geographic coordinates as well. Since the T62 grid is nearly regular except with small variations towards the poles, my current strategy is to ignore the changes in cell size and pretend the grid is actually regular with a cell size corresponding to that of the lower latitudes. I just thought it would be more satisfying to be able to specify the CRS more precisely. Best, Matt
On 7/10/2010 2:22 PM, Edzer Pebesma wrote:
Matt, why exactly would you want to coerce these data into a regular grid? On 07/01/2010 04:05 PM, Matthew Landis wrote:
Dear R-sig-geo members, I wonder if any of you have suggestions about how to import and use rasters with a spectral Gaussian T62 CRS in R. I'm not very familiar with this coordinate system (commonly used for climate models), and I haven't been able to discover tools for dealing with them in R, either in PROJ.4 or mapproj or anywhere else, despite extensive scouring of the web. Details of Gaussian grids can be seen at http://en.wikipedia.org/wiki/Gaussian_grid and http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html#GRID98 Specifically, I'm trying to use output from the NCEP CFS climate models (see http://cfs.ncep.noaa.gov/cfs/monthly/tmp2m/ -- these are in GRIB format). A different example of a T62 grid can be downloaded in netCDF format at http://www.sage.wisc.edu/iamdata/grid.php. The goal is to transform the CRS into geographic lat/lon coordinates to be more compatible with our other datasets. The big problem with getting these data into a SpatialGrid or SpatialPixelsDataFrame is that the latitude cells are not equally spaced - they get smaller towards the poles. I may be able to approximate it to a regular grid by ignoring the changes to the poles (they are rather small after all), but I'd rather do it properly if possible. Code below shows extracting latitudes from a T62 grid and plotting the changes in cell size with latitude. library('ncdf') library('sp') nc<- 'C:/scratch/cfs/pop_den_1995_T62.nc' # Downloaded from http://www.sage.wisc.edu/iamdata/grid.php # Open the file and get latitude and longitude nc<- open.ncdf(ncfile) lat<- get.var.ncdf(nc, varid = 'latitude') lon<- get.var.ncdf(nc, varid = 'longitude') close.ncdf(nc) # Generate coordinates for each grid cell x<- rep(lon, length(lat)) y<- rep(lat, each = length(lon)) sp<- SpatialPoints(cbind(x,y)) # temp<- SpatialPixels(points = sp) # Doesn't work. points have to be regular grid # Show how the cell size changes with latitude cell.size<- diff(rev(lat)) plot(lat[-1], cell.size) Many thanks for any suggestions! Matt