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SIGNAL DETECTION OF GLOBAL CLIMATE CHANGE AND EXTERNAL FORCING FACTORS
作者姓名:LI Xiaodong  WANG Zaiwen  HOU Zhangshuan
作者单位:Department of Geophysics Peking University,Beijing 100871,Department of Geophysics,Peking University,Beijing 100871,Department of Geophysics,Peking University,Beijing 100871
摘    要:In this paper,we displayed one-dimensional climate signals,such as global temperaturevariation,Southern Oscillation Index and variation of external forcing factors,on a two-dimensional time-scale plane using compactly supported wavelet decomposition.Using the lag-correlation analysis method,and interpretative variance analysis method,and phase comparisonmethod to the wavelet analysis result,we not only gained the variation on different scales to theglobal temperature and El Nino signals,the location of the jump point and intrinsic scale of theseseries,but also indicated the magnitude,extent and time of the effect of external forcing factors onthem.We also put forward reasonable explanation to the main variation of recent 140 years.

收稿时间:2000/9/26 0:00:00
修稿时间:2001/6/29 0:00:00

SIGNAL DETECTION OF GLOBAL CLIMATE CHANGE AND EXTERNAL FORCING FACTORS
LI Xiaodong,WANG Zaiwen,HOU Zhangshuan.SIGNAL DETECTION OF GLOBAL CLIMATE CHANGE AND EXTERNAL FORCING FACTORS[J].Acta Meteorologica Sinica,2001,15(4):397-406.
Authors:LI Xiaodong  WANG Zaiwen and HOU Zhangshuan
Institution:LI Xiaodong WANG Zaiwen HOU Zhangshuan Department of Geophysics,Peking University,Beijing 100871
Abstract:In this paper,we displayed one-dimensional climate signals,such as global temperature variation,Southern Oscillation Index and variation of external forcing factors,on a two- dimensional time-scale plane using compactly supported wavelet decomposition.Using the lag- correlation analysis method,and interpretative variance analysis method,and phase comparison method to the wavelet analysis result,we not only gained the variation on different scales to the global temperature and El Nino signals,the location of the jump point and intrinsic scale of these series,but also indicated the magnitude,extent and time of the effect of external forcing factors on them.We also put forward reasonable explanation to the main variation of recent 140 years.
Keywords:climate change  signal detection  compactly supported B-spline wavelet analysis  jump  point  intrinsic scale
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