Temperature and precipitation are the most basic meteorological elements. Recently,the northwest China is very sensitive to the climate change. Bayinbuluk grassland in Hejing County,Xinjiang,China has a unique alpine climate with a more pronounced response to climate change. Therefore,more and more meteorologists are attracted to study the trends of local temperature and precipitation. By using EEMD,the characteristics of precipitation, precipitation days and annual average temperature were analyzed based on long-term (from 1958 to 2015) monthly average temperature and monthly precipitation data from Bayinbuluk Meteorological Station. The Mann- Kendall and cumulative anomaly analysis methods were used to diagnose the mutation points. Meanwhile,based on Morlet wavelet analysis method and R/S analysis method,the periodic characteristics and long memory property were analyzed. It is found that the monthly precipitation in Bayinbuluk was increased significantly in January,June and November,and the changes in February,July and December displayed aconvexshape. The monthly precipitation days showed a significant downward trend in January and September,with a significant increase in February and June,and aconvexchange in March and November,aconcavechange shape in May,July and August. The average temperature in each month was basically on rise,especially in May,July and October. There were big changes for the annual precipitation and annual precipitation days in 1999 and 1993,and big change for the annual mean air temperature occurred in 1997. In addition,the increase of the annual precipitation days happened earlier than the increase of the annual precipitation and the increase of the annual average temperature. Since the mid- 1990s,Bayinbuluks climate has shifted from dry and cold to warm and humid. The periodic oscillation of annual precipitation,annual precipitation days and annual average temperature were 41 a,9 a and 30 a,respectively. Meanwhile, the Hurst exponents were obtained,which indicated that in the future annual precipitation and annual average temperature would be increased but annual precipitation days would be decreased. The frequency of extreme precipitation will be increased,which will easily lead to flood disasters.