Author(s)

C.N. Chen & T.Y. Lee

Abstract

Complexification of the past global changes data C.-N. chenl & T.-Y. ~ e e * ' ~ e p r t m e n t of Earth Sciences, National Cheng-Kung Universi& Taiwan, ROC 2 Department of Information Management, Leader University, Taiwan, ROC Abstract Reports on the application of non-linear dynamic analysis to the investigation of the past global change data are not commonly seen. Possible causes are due to the difficulties encountered in data acquisition, and also that the data are required to be collected at regular temporal intervals and there is a requirement for a tremendous capacity for computer calculation. In this study, we used Rescaled Range Analysis (WS Analysis) coupled with the V-statistical analysis method to investigate the long-term memory effect and study the average length in the cycle of paleo-climate temporal variation. The results are then compared with those obtained by the conventional spectral analysis method. When the WS method was applied to the ETP simulation of the 6 ''0 data o

Keywords