Based on the daily precipitation data of 50 observational stations in Xinjiang region from 1960 to 2011,we selected 8 indices of extreme precipitation from the"Expert Team on Climate Change Detection and Indices",which is formulated by WMO,used the linear trend method, the inverse distance weighted interpolation method (IDW),Morlet wavelet analysis and superposition trend model to study the spatial and temporal variation,period variation and the trends prediction of extreme precipitation. The results show that: because of the climate warming,the precipitation has increased in Xinjiang region,and the extreme precipitation also increased,consecutive dry index decreased. And because of the special terrain structure of"two basins sandwiched among three mountains", the climate change of small regions was often significant, the extreme precipitation is of obvious difference in different regions,on the whole, in addition to continuous dry index, the rates of other indices are larger in the northern region than the southern region,due to the impact of altitude, the precipitation and variation coefficient of Tianshan Mountains is large. The main period of each index is concentrated in the 22 - 29 a, so, the period of extreme precipitation events is longer. The future 26 a trend of each index is consistent with the original trend, the extreme precipitation events may still increase in Xinjing region,and therefore,we should strengthen the ability and reduce the damage caused by extreme precipitation events.