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Chin. Phys. B, 2012, Vol. 21(10): 109203    DOI: 10.1088/1674-1056/21/10/109203
GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS Prev  

Characteristics of the spatiotemporal distribution of daily extreme temperature events in China: Minimum temperature records in different climate states against the background of the most probable temperature

Qian Zhong-Hua (钱忠华)a, Hu Jing-Guo (胡经国)a, Feng Guo-Lin (封国林)a b, Cao Yong-Zhong (曹永忠)a
a College of Physical Science & Technology, Yangzhou University, Yangzhou 225009, China;
b National Climate Center, Beijing 100081, China
Abstract  Based on the skewed function, the most probable temperature is defined and the spatiotemporal distributions of the frequencies and strengths of extreme temperature events in different climate states over China are investigated, where the climate states are referred to as State I, State II and State III, i.e., the daily minimum temperature records of 1961-1990, 1971-2000, and 1981-2009. The results show that in space the frequency of high temperature events in summer decreases clearly in the lower and middle reaches of the Yellow River in State I and that low temperature events decrease in northern China in State II. In the present state, the frequency of high temperature events increases significantly in most areas over China except the north east, while the frequency of low temperature events decreases mainly in north China and the regions between the Yangtze River and the Yellow River. The distributions of frequencies and strengths of extreme temperature events are consistent in space. The analysis of time evolution of extreme events shows that the occurrence of high temperature events become higher with the change in state, while that of low temperature events decreases. High temperature events are becoming stronger as well and deserve to be paid special attention.
Keywords:  extreme temperature      most probable temperature      climate state  
Received:  27 February 2012      Revised:  11 April 2012      Accepted manuscript online: 
PACS:  92.70.Aa (Abrupt/rapid climate change)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 41105033) and the National Basic Research Program of China (Grant No. 2012CB955901).
Corresponding Authors:  Cao Yong-Zhong     E-mail:  yzucao@yzu.edu.cn

Cite this article: 

Qian Zhong-Hua (钱忠华), Hu Jing-Guo (胡经国), Feng Guo-Lin (封国林), Cao Yong-Zhong (曹永忠) Characteristics of the spatiotemporal distribution of daily extreme temperature events in China: Minimum temperature records in different climate states against the background of the most probable temperature 2012 Chin. Phys. B 21 109203

[1] Houghton J T, Ding Y H and Griggs D J 2007 Contribution of Working Group I to the Third Assessment Report of the Inter-governmental Panel Climate Change (Cambridge: Cambridge University Press) p. 156
[2] Qin D H 2002 Evaluation of Environment Evolvement over the Western China: Assessment on Environment Evaluation over Western China (Beijing: Science Press) p. 2
[3] IPCC 2007 Summary for Policymakers of the Synthesis Report of the IPCC Fourth Assessment Report (Cambridge: Cambridge University Press) p. 15
[4] Frich P, Alexander L V and Della-Marta P M 2002 Clim. Res. 19 193
[5] Manton M J, Della-Marta P M and Haylock M R 2001 Int. J. Clim. 21 269
[6] Zhai P M and Pan X H 2003 Acta Geo. Sin. 58 1 (in Chinese)
[7] Pan X H 2002 Chinese Academy of Meteorological Sciences Beijing (in Chinese)
[8] Qian Y F and Huang D Q 2008 Sci. J. Sun Yet-Sen Univ. 47 112 (in Chinese)
[9] Gong Z Q, Wang X J and Zhi R 2009 Acta Phys. Sin. 58 4342 (in Chinese)
[10] Redner S and Petersen M R 2006 Phys. Rev. E 74 061114
[11] Wu X, Ding Y G and Zhou H P 1995 Sci. Meteo. Sin. 15 281 (in Chinese)
[12] Liu X H, Wang L J and Wu H B 2007 Clim. Envi. Res. 12 780 (in Chinese)
[13] Liu J C and Qian H S 2000 J. Henan Polytechnic University (Natural Science) 30 84 (in Chinese)
[14] Qian Z H, Feng G L and Gong Z Q 2010 Acta Phys. Sin. 59 7498 (in Chinese)
[15] Sun Z B and Zhang N 2008 J. Nanjing Institute of Meteorology 31 123 (in Chinese)
[16] Ding Y G and Jiang Z H 2009 Introduction of Research Approaches About Extreme Climatics (Beijing: Metrological Press) p. 30 (in Chinese)
[17] Wang Z C 2008 Statistic and Thermodynamic Physics 4th edn. (Beijing: China Higher Education Press) p. 256 (in Chinese)
[18] Qian Z H, Hou W and Yang P 2011 Acta Phys. Sin. 60 109204 (in Chinese)
[19] Yang P, Liu W D and Wang Q G 2010 J. Appl. Meteo. Sci. 21 29 (in Chinese)
[20] Yu S Q and Lin X C 1997 J. Trop. Metro. 13 266 (in Chinese)
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