Abstract: In order to study spatial distribution of the nonnormal precipitation，the spatial estimation of daily precipitation was performed and the precision was comparatively validated by using of the MultiGaussian Kriging Method（MGK），through normal transformation and variogram analysis for the precipitation process data form 75 meteorological stations in Hubei province in July 2010.The results showed that the characteristic of precipitation distribution was highlighted through the reasonable parameter selection，and the estimation accuracy also improved significantly.MGK method was the most suitable method for spatial estimation of nonnormal precipitation，with minimal average mean error and most stable error curve，among three interpolation methods of Inverse Distance Weighted，MultiGaussian Kriging and Ordinary Kriging.The "bullseye effect"caused by IDW and the overly smooth caused by OK had been effectively improved under Multi Gaussian Kriging method，and the daily precipitation spatial distribution dataset with higher precision could be obtained.

Key words: Non normal distribution, Multi Gaussian Kriging, Variogram analysis, Daily precipitation