Abstract: For improving the effect of annual precipitation spatial interpolation in Xinjiang area, the spatial interpolation of annual precipitation had been performed and the precision was comparatively validated by using of deterministic function and geostatistical interpolation methods, through adding some simulative meteorological stations as a supplement of spatial variability information of fact station data. The results showed that the precipitation spatial variability information and interpolation precision had effectively enhanced by establishing simulative weather stations through finding weather stations influence zone by investigating appropriate sampling interval distance of multiyear average precipitation with geostatistical analysis, and founding multiple regression equation between precipitation and longitudelatitude, elevation, slope, aspect and NDVI(normalized difference vegetation index). MRBF was the best and most appropriate method for spatial interpolation of precipitation among three interpolation methods of Inverse Distance Weighted (IDW), Multiquadratic Radial Basis Functions (MRBF) and Ordinary Kriging (OK) in Xinjiang area. By using stepwise and integrated methods, namely establishing simulative meteorological stations through multiple regression and conducted spatial interpolation of precipitation by MRBF method, considering significant factors and spatial variability, removing boundary effect of multiple regression, enhancing precipitation spatial geostatistical information, the annual precipitation spatial distribution dataset of this area with higher precision had been obtained.〖JP〗

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