Abstract: Forest is the highly-efficient interface between earth and atmosphere for substance migration and energy transfer, which can influence local climate characteristics.In this study, Mann-Kendall trend test and break points recognization, wavelet analysis were applied to analyze temperature and precipitation data over 60 years from 1961-2020 to characterize temperatures and precipitations in Saihanba on annual and monthly scales through contrasting those in Weichang and Duolun.It was found that at the interannual scale, forest decreased local annual average temperature, maximum temperature and minimum temperature.Although it could not change the rising trends of temperature, it delayed the beginning time of warming, and enhanced average temperature variation of interannual in short period.At the seasonal and monthly scale, forest maintained stable temperature in late spring and early summer and reduced average temperature variation of interannual in July, meanwhile widened temperature differences between summer and winter and more perienced low temperature in winter.At the interannual scale, forest decreased interannual variation of annual precipitation, speeded up precipitation rising and broke the cycle period of interannual.At the seasonal and monthly scale, forest dispersed precipitation to different seasons, and slowed down the rate of precipitation variation in June and July.