Dear R-help community, I have looked on the R search site and archives but cannot find mention of a way of interpolating a gaussian distribution of data to a standard 2.5 degree grid. I have two global dataset and I need to correlate - unfortunately one is a 2.5 degree grid dim[longitude=144,latitude=72] and one is gaussian dim[longitude=192,latitude=94]. I would rally appreciate hearing back from any of you who may have wanted to interpolate your data is this way. If there is no ready-made function you know of but you are willing to share your own methods I would also appreciate any pointers. Many thanks for your time, Jenny Barnes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Jennifer Barnes PhD student - long range drought prediction Climate Extremes Department of Space and Climate Physics University College London Holmbury St Mary, Dorking Surrey RH5 6NT Web: http://climate.mssl.ucl.ac.uk
how do you interpolate a gaussian grid to a standard 2.5 degree grid?
2 messages · Jenny Barnes, Zhuanshi He
Hi Jenny, Maybe the following links will be useful for you. Both of thoes are used in meteorological and climate research community. But u can used the codes to create the data values that you need. g2fsh : Interpolates a scalar quantity from a Gaussian grid to a fixed grid. http://www.ncl.ucar.edu/Document/Functions/Built-in/g2fsh.shtml g2fshv : Interpolates a vector quantity from a Gaussian grid to a fixed grid. http://www.ncl.ucar.edu/Document/Functions/Built-in/g2fshv.shtml In addition, both of those functions based on a package named SPHEREPACK (http://www.cisl.ucar.edu/css/software/spherepack/ ). you can write call subroutines shipped from SPHEREPACK to get values at your fixed grids. Good luck. Zhuanshi He
On 12/12/06, Jenny Barnes <jmb at mssl.ucl.ac.uk> wrote:
Dear R-help community, I have looked on the R search site and archives but cannot find mention of a way of interpolating a gaussian distribution of data to a standard 2.5 degree grid. I have two global dataset and I need to correlate - unfortunately one is a 2.5 degree grid dim[longitude=144,latitude=72] and one is gaussian dim[longitude=192,latitude=94]. I would rally appreciate hearing back from any of you who may have wanted to interpolate your data is this way. If there is no ready-made function you know of but you are willing to share your own methods I would also appreciate any pointers. Many thanks for your time, Jenny Barnes ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Jennifer Barnes PhD student - long range drought prediction Climate Extremes Department of Space and Climate Physics University College London Holmbury St Mary, Dorking Surrey RH5 6NT Web: http://climate.mssl.ucl.ac.uk
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Zhuanshi He / Z. He (PhD) Waterloo Centre for Atmospheric Sciences (WCAS) Department of Chemistry Phy Bldg, Rm 2022 University of Waterloo, Waterloo, ON N2L 3G1 Canada Tel: +1-519-888-4567 ext 38053 FAX: +1-519-746-0435