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Y. Ping, W. D. Liu and Q. G. Wang, “The Climatic Change Trend and Seasonal Characteristics of Daily Temperature Extremes in China for the Latest 40 Years,” Journal of Applied Meteorological Society, Vol. 21, 2010, pp. 29-35.

has been cited by the following article:

• TITLE: Detection of the Process about Extreme Weather Events

  AUTHORS: Zhonghua Qian, Zengping Zhang, Guolin Feng

  KEYWORDS: Process; Phase Synchronization; Clustering

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.1 No.6, November 28, 2013

  ABSTRACT: In view of extreme values events mathematically rather than the process about extreme weather events, phase synchronization clustering method is introduced and the applicability of the method is discussed from the aspects of noise intensity and sequence length. At last the observed data is applied. The results show that clustering measure difference can detect the temporal process objectively to a certain degree and it has certain application to detect the temporal proc- ess of extreme weather events.