小波分析和EEMD方法在广州气温及降水的多尺度分析中的差异分析  

STUDY ON THE DIFFERENCE BETWEEN WAVELET ANALYSIS AND EEMD IN MULTI-SCALE DECOMPOSITION OF TEMPERATURE AND PRECIPITATION OF GUANGZHOU

作　　者：王兵[1] 胡娅敏[1] 杜尧东[1] 翟志宏[1] 吴晓绚 

机构地区：[1]广东省气候中心,广东广州510080 [2]广州市气候与农业气象中心,广东广州510080

出　　处：《热带气象学报》2014年第4期769-776,共8页Journal of Tropical Meteorology

基　　金：科技部公益性行业(气象)科研专项(GYHY201406025);中国气象局气候变化专项(CCSF201404);广东省气象局科技创新团队基金(201102)共同资助

摘　　要：利用小波变换和集合经验模态分解（EEMD）的方法对广州市1908-2010年103 a的温度、降水资料进行多尺度分析,并对比EEMD和小波分析的差异.结果表明：（1）小波分解基于先验的小波基函数和分解层次有较大的人为选择性,易产生虚假波动;（2） EEMD具有自适性,分解结果更稳定和一致,处理非线性、非平稳数据更准确;（3） EEMD分解显示,广州的温度、降水均存在2～6.8 a的年际尺度波动,年代际尺度上,温度表现为13.6a、34 a、68 a的波动周期,降水存在22.6 a的波动周期.Based on an analysis of the difference between EEMD and wavelet transform,this study investigates the multi-scale characteristics of the precipitation and temperature in Guangzhou.The results are presented as follows.（1）Wavelet analysis is non-adaptive and may cause spurious oscillations,since the convolution of a priori basis function and a priori number of levels are variable.（2） EEMD method,which decomposes non-linear and non-stationary signals into basis functions （called the intrinsic mode functions） adaptively,ensures the stability of results.The ensemble results with different amplitude white noise are more consistent,which demonstrates the robustness and advantage of EEMD over wavelet analysis.（3） The results from EEMD analysis show that there are mainly 5 time-scale fluctuations in temperature and precipitation in Guangzhou from 1908 to 2010.For temperature and precipitation,the interannual scales are 2～6.8 a.On the interdecadal scales,temperature is of 13.6 a,34 a,68 a and precipitation 22.6 a.

关 键 词：气候变化 集合经验模态分解(EEMD) 小波分析 广州 

分 类 号：P456.3[天文地球—大气科学及气象学]