Abstract: This paper has applied continuous Morlet Complex Wavelet Transformation (comr) to analyze cycle distribution characteristics with multiple time scales of time series of Yunnan Meteorological Stations′ data of annual average precipitation from 1959—2012,aiming to explain why Yunnan′s precipitation has been particularly rare since 2009.By using real parts of wavelet coefficients′ data of each main cycle to build a dummy variables regression model,we′ve tried to simulate the time variation of annual precipitation anomaly,and to predict the precipitation of next five years.The results show that there exist four main oscillation cycle patterns with different timescales in Yunnan′s annual precipitation: 26-years,9—10-years,4-years and 16—17-years.The 26-years cycle is the most distinct and stable cycle,followed by 9—10-years cycle,which is also stable.There are significant differences of the main oscillation cycles before and after 1992.Since 2009,these four main cycles have all been stepping into or staying at the bottom of the cycle,and superposition of these bottom effects of these main cycles has contributed to abnormally less precipitation resulting in 4 years′ continuous severe drought in Yunnan Province.The period of less precipitation in Yunnan will end in 2014—2015,the same as Yunnan continues severe drought characterized as continuously abnormally less annual precipitation.