中国物理B ›› 2015, Vol. 24 ›› Issue (10): 109201-109201.doi: 10.1088/1674-1056/24/10/109201

• GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS • 上一篇    

Spatiotemporal distribution characteristics and attribution of extreme regional low temperature event

封泰晨a, 张珂铨a, 苏海晶b, 王晓娟a b, 龚志强c, 张文煜a   

  1. a Department of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;
    b College of Physics and Electronic Project, Changshu Institute of Technology, Changshu 215500, China;
    c Laboratory for Climate Prediction, National Climate Center, China Meteorological Administration, Beijing 100081, China
  • 收稿日期:2015-02-12 修回日期:2015-04-28 出版日期:2015-10-05 发布日期:2015-10-05
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant No. 41305075), the National Basic Research Program of China (Grant Nos. 2012CB955203 and 2012CB955902), and the Special Scientific Research on Public Welfare Industry, China (Grant No. GYHY201306049).

Spatiotemporal distribution characteristics and attribution of extreme regional low temperature event

Feng Tai-Chen (封泰晨)a, Zhang Ke-Quan (张珂铨)a, Su Hai-Jing (苏海晶)b, Wang Xiao-Juan (王晓娟)a b, Gong Zhi-Qiang (龚志强)c, Zhang Wen-Yu (张文煜)a   

  1. a Department of Atmospheric Sciences, Lanzhou University, Lanzhou 730000, China;
    b College of Physics and Electronic Project, Changshu Institute of Technology, Changshu 215500, China;
    c Laboratory for Climate Prediction, National Climate Center, China Meteorological Administration, Beijing 100081, China
  • Received:2015-02-12 Revised:2015-04-28 Online:2015-10-05 Published:2015-10-05
  • Contact: Gong Zhi-Qiang E-mail:gzq0929@126.com
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant No. 41305075), the National Basic Research Program of China (Grant Nos. 2012CB955203 and 2012CB955902), and the Special Scientific Research on Public Welfare Industry, China (Grant No. GYHY201306049).

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摘要： Based on an objective identification technique for regional low temperature event (OITRLTE), the daily minimum temperature in China has been detected from 1960 to 2013. During this period, there were 60 regional extreme low temperature events (ERLTEs), which are included in the 690 regional low temperature events (RLTEs). The 60 ERLTEs are analyzed in this paper. The results show that in the last 50 years, the intensity of the ERLTEs has become weak; the number of lasted days has decreased; and, the affected area has become small. However, that situation has changed in this century. In terms of spatial distribution, the high intensity regions are mainly in Northern China while the high frequency regions concentrate in Central and Eastern China. According to the affected area of each event, the 60 ERLTEs are classified into six types. The atmospheric circulation background fields which correspond to these types are also analyzed. The results show that, influenced by stronger blocking highs of Ural and Lake Baikal, as well as stronger southward polar vortex and East Asia major trough at 500-hPa geopotential height, cold air from high latitudes is guided to move southward and abnormal northerly winds at 850 hPa makes the cold air blow into China along diverse paths, thereby forming different types of regional extreme low temperatures in winter.

关键词: regional low temperature, extreme events, classification of low temperature events

Abstract: Based on an objective identification technique for regional low temperature event (OITRLTE), the daily minimum temperature in China has been detected from 1960 to 2013. During this period, there were 60 regional extreme low temperature events (ERLTEs), which are included in the 690 regional low temperature events (RLTEs). The 60 ERLTEs are analyzed in this paper. The results show that in the last 50 years, the intensity of the ERLTEs has become weak; the number of lasted days has decreased; and, the affected area has become small. However, that situation has changed in this century. In terms of spatial distribution, the high intensity regions are mainly in Northern China while the high frequency regions concentrate in Central and Eastern China. According to the affected area of each event, the 60 ERLTEs are classified into six types. The atmospheric circulation background fields which correspond to these types are also analyzed. The results show that, influenced by stronger blocking highs of Ural and Lake Baikal, as well as stronger southward polar vortex and East Asia major trough at 500-hPa geopotential height, cold air from high latitudes is guided to move southward and abnormal northerly winds at 850 hPa makes the cold air blow into China along diverse paths, thereby forming different types of regional extreme low temperatures in winter.

Key words: regional low temperature, extreme events, classification of low temperature events

中图分类号:  (Weather analysis and prediction)

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