Abstract
Adopting the series data of precipitationfrom 1952 to 2013 in Baoji city, shaanxi province, China, using Morlet wavelet function, the seasonal variation of precipitation and the time series of the interannual variation of precipitation in Baoji nearly 60aare analyzed by wavelet analysis, reveals the multiple time scales change complex structure of Baoji precipitation, forecasts the precipitation change trend of four seasons in Baoji city. The results show that the seasonal and annual precipitationin Baoji has the characteristics of multi time scale, different scales show the different cycles, large scale periodic variations also include small scale periodic variations. As a whole, the performance for small scale changed seriously, no clear rules of special features, and there is obvious regularity of large scale. The time-frequency localization characteristic of wavelet analysis can show the fine structure of precipitation time series, and provide a new method for the analysis of the key water saving problems, such as multi time scale variation characteristics and short-term climate prediction.
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