中国东北地区近百年气温序列的小波分析

 利用1905-2005年中国东北地区哈尔滨、长春、沈阳和大连的气温时间序列资料，在分析气温变化结构的基础上进行小波分析，以揭示气温变化的多时间尺度的复杂结构。同时，分析了不同时间尺度下气温序列变化的周期性变化规律和突变点。结果表明：近100 a来中国东北地区的平均气温呈升高趋势，尤其在20世纪80年代以后升高趋势更加显著，升温率达到0.165 ℃/10 a。气温存在2～3 a、8～12 a、20～25 a和45 a左右时间尺度的多重时间尺度结构的变化特征。

A Wavelet Analysis of the Temperature Time Series in Northeast China During the Last 100 Years

Morlet wavelet analysis was used to reveal the periodical regulations at different time scales of the temperature time series of Northeast China in the last 100 years. Based on the monthly and annual temperature data at Harbin, Shenyang, Changchun, and Dalian weather stations from 1905 to 2005, the periodic oscillation and the point of abrupt change at different time scales in the temperature time series were discovered, and the main periods for each serial were determined. The research results show that the temperature of Northeast China had an increasing trend of 0.165/10a in the past 100 years, and there were periodical variations of multiple time scales, which displayed different traits at different phases. There were obvious periodic oscillations of 2-3 a, 8-12 a, 20-25 a and 45 a periods for the seasonal and annual temperature variations.