JAMP  Vol.1 No.6 , November 2013
Detection of the Process about Extreme Weather Events
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.
Cite this paper: Qian, Z. , Zhang, Z. and Feng, G. (2013) Detection of the Process about Extreme Weather Events. Journal of Applied Mathematics and Physics, 1, 6-10. doi: 10.4236/jamp.2013.16002.

[1]   IPCC, “Summary for Policymakers of the Synthesis Report of the IPCC Fourth Assessment Report,” Cambridge University Press, Cambridge, 2007, pp. 1-15.

[2]   P. Frich, L. V. Alexander and P. M. Della-Marta, “Obsevered Coherent Changes in Climatic Extremes during the Second Half of the 20th Century,” Climate Research, Vol. 19, No. 3, 1993, pp. 193-212.

[3]   M. J. Manton, P. M. Della-Martaand M. R. Haylock, “Trend in Extrmeme Daily Rainfall and Temperature in Southeast Asia and the South Pacific 1961-1998,” International Journal of Climatology, Vol. 2, No. 3, 2001, pp. 269-284. ttp://

[4]   P. Zhai and X. H. Pan, “Change in Extreme Temperature and Precipitation over Northern China during the Second Half of the 20th,” Acta Geologica Sinica, Vol. 58, 2003, pp. 1-9.

[5]   X. H. Pan, “The Study of Extreme Temperature and Rain-fall about 50 Years over China,” Chinese Academy of Meteorological Sciences, Beijing, 2002, pp. 32-40.

[6]   Y. F. Qian and D. Q. Huang, “The Definition of Daily Mean Temperature Extreme over China and Its Trend,” Acta Scientiarum Naturalium Universitatis Sunyatseni, Vol. 47, 2008, pp. 112-116.

[7]   Z. B. Sun and Z. Ning, “Change of Extreme Temperature in China during 1955-2005,” Journal of Nanjing Institute of Meteorology, Vol. 31, 2008, pp. 123-128.

[8]   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.

[9]   Z. Q. Gong, X. J. Wangand Z. Rong, “Regional Characteristics of Temperature Changes in China during the Past 58 Years and Its Probable Correlation with Abrupt Temperature Change,” Acta Physica Sinica, Vol. 58, 2009, pp. 4342-4353.

[10]   D. Q. Zhang and G. L. Feng, “The Relationship between Spatial Extent and Duration of Severe Droughts in China over the Last 50 Years,” 2010 Second IITA Conference on Geoscience and Remote Sensing, Vol. 2, 2010, pp. 345-348.

[11]   Z. J. Zhang and W. H. Qian, “Identifying Regional Prolonged Low Temperature Events in China,” Advance in Atmosphere Science, Vol. 28, No. 2, 2011, pp. 338-351.

[12]   H. A. Daffertshofer and U. Steinmetz, “Detection of Mutual Phase Synchronization in Multivariate Signals and Application to Phase Ensembles and Chaotic data,” Physical Review E, Vol. 68, 2003, Article ID: 036219.

[13]   A. Hutt and H. Riedel, “Analysis and Modeling of Quasi-Stationary Multivariate Time Series and Their Application to Middle Latency Auditory Evoked Potentials,” Physica D, Vol. 177, No. 1-4, 2003, pp. 203-215.

[14]   G. Schner, H. Haken and J. Kelso, “A Stochastic Theory of Phase Transitions in Human Hand Movement,” Biological Cybernetics, Vol. 53, No. 4, 1986, pp. 247-257.

[15]   H. Haken, J. A. S. Kelso and H. Bunz, “A Theoretical Model of Phase Transitions in Human Hand Movements,” Biological Cybernetics, Vol. 51, No. 5, 1985, pp. 347-356.

[16]   W. Hou, G. J. Zhang and G. Gao, “Research on the Meteorological Drought Index Based on the Hierarchy of Climate System,” Meteorological Monthly, Vol. 38, No. 6, 2012, pp. 707-717.