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Discrete Dynamics in Nature and Society
Volume 2016, Article ID 2689429, 7 pages
Research Article

The Application of Recurrence Quantification Analysis in Detection of Abrupt Climate Change

1College of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China
2Tongda College, Nanjing University of Posts & Telecommunications, Nanjing 210003, China
3National Climate Center, China Meteorological Administration, Beijing 100081, China
4College of Physical Science & Technology, Yangzhou University, Yangzhou 225002, China
5College of Math & Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China

Received 25 December 2015; Accepted 24 April 2016

Academic Editor: Yi Wang

Copyright © 2016 Wen Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This paper explores the possible application of recurrence quantification analysis in the detection of abrupt change of the dynamic structure of the climate system. It is discovered in the recurrence quantification analysis of the typical chaotic system-logistic model that the method may well distinguish the state of logistic model with different parameters, demonstrating its potential value in identifying the dynamic change of the system. When recurrence quantification analysis is later applied to the detection of abrupt change of average daily precipitation of all regions in China, the result indicates that the abrupt change of the dynamic structure corresponding to the precipitation of China in recent 50 years occurred in the late 1970s and the early 1980s. It is in agreement with the Chinese commonly recognized years of abruption; therefore the effectiveness is further demonstrated regarding the recognition of complexity of dynamical system.