Empirical Mode Decomposition and Significance Tests of Temperature Time Series

摘要：

Empirical mode decomposition (EMD) has become a powerful tool for adaptive analysis of non-stationary and nonlinear time series. In this paper,we will perform a multi-scale analysis of the Central England Temperature and the proxy temperature from Greenland ice core time series by using EMD. We will make a significance test against the null hypothesis of red noise and determine both the dominant modes of variability and how those modes vary in time.

关键词： Empirical mode decomposition Temperature time series Significance test

作者: Zhihua Zhang John Moore

作者单位: College of Global Change and Earth System Science,Beijing Normal University,China State Key Laboratory of Earth Surface Processes and Resource Ecology/College of Global Change and Ea

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 883-888

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）