Spatial Mapping of the Mean Annual Precipitation Using Geostatistics Techniques) Case Study: Fars Province)

Interpolation as an important technique has been widely used for evaluation of meteorological spatial variation. These techniques have been classified in different manner. In this study we applied kriging and cokriging techniques to the data collected at 12 meteorological stations to map spatial varations of mean annual precipitation in the Fars province. Experimental variogram for spherical, exponential and Gaussian models of ordinary kriging and cokriging were fitted and compared by cross validation techniques. Gaussian model with 200 kilometer range was selected with minimum MAE index as the best fitted one for the mean annual precipitation interpolation in this region.