Exploring Multiscale Interactions between Bivariate Time Series——A BEMD and DTW Approach

摘要：

The coupled relationship and mutual interaction between the global sea surface temperature (SST) and the global sea level (GSL) is one of key questions about global change. However, non-uniform distribution, nonlinearity and complex mechanism make so many uncertainties on the multiscale relationship between them. In this paper, BEMD and DTW methods are combined to investigate the multiscale interactions between these two. First BEMD is adapted to extract multiscale characteristic and the instantaneous local variations of both time series at the same time scales. The DTW method is then applied to the decomposed components, tending to synchronize time series at different scales. The wrap functions of different scales provide information for local phase variability, which also reveal the dynamic interactions between the two time series. The result indicates that equilibrious relationship exists between SST and GSL, which supports Rahmstorfs equilibrium assumption on global sea level rise projection.

关键词： Time series Multiscale Interaction BEMD DTW

作者: Zhaoyuan Yu Linwang Yuan Lin Yi Zhifeng Shi

作者单位: Geographical Science School Nanjing Normal University Nanjing, China Resource and Environmental School Northeast Agricultural University Harbin, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 31-35

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）