中国物理B ›› 2012, Vol. 21 ›› Issue (1): 19201-019201.doi: 10.1088/1674-1056/21/1/019201

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The characteristics of clusters of weather and extreme climate events in China during the past 50 years

杨萍1, 侯威2, 封国林2   

  1. (1)Institute of Urban Meteorology, China Metrology Administration, Beijing 100089, China; Laboratory for Climate Studies, China Meteorological Administration, Beijing 100081, China; (2)Laboratory for Climate Studies, China Meteorological Administration, Beijing 100081, China
  • 收稿日期:2011-06-14 修回日期:2011-08-17 出版日期:2012-01-15 发布日期:2012-01-20
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 41005043 and 41105033), the National Basic Research Program of China (Grant No. 2012CB955901), and the National Science and Technology Ministry, China (Grant Nos. 2007BAC29B

The characteristics of clusters of weather and extreme climate events in China during the past 50 years

Yang Ping (杨萍)a)b), Hou Wei(侯威)b), and Feng Guo-Lin(封国林)b)†   

  1. a Institute of Urban Meteorology, China Metrology Administration, Beijing 100089, China; ; b Laboratory for Climate Studies, China Meteorological Administration, Beijing 100081, China
  • Received:2011-06-14 Revised:2011-08-17 Online:2012-01-15 Published:2012-01-20
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 41005043 and 41105033), the National Basic Research Program of China (Grant No. 2012CB955901), and the National Science and Technology Ministry, China (Grant Nos. 2007BAC29B

摘要: The pick-up algorithm by the k-th order cluster for the closest distance is used in the fields of weather and climactic events, and the technical terms clustered index and high clustered region are defined to investigate their temporal and spatial distribution characteristics in China during the past 50 years. The results show that the contribution of extreme high-temperature event clusters changed in the period from the 1960s to the 1970s, and its strength was enhanced. On the other hand, the decreasing trend in the clusters of low-temperature extremes can be taken as a signal for warmer winters to follow in the decadal time scale. Torrential rain and heavy rainfall clusters have both been lessened in the past 50 years, and have different cluster characteristics because of their definitions. Regions with high clustered indexes are concentrated in southern China. The spatial evolution of the heavy rainfall clusters reveals that clustered heavy rainfall has played an important role in the rain-belt pattern over China during the last 50 years.

关键词: extreme event, clusters, decadal clustered index

Abstract: The pick-up algorithm by the k-th order cluster for the closest distance is used in the fields of weather and climactic events, and the technical terms clustered index and high clustered region are defined to investigate their temporal and spatial distribution characteristics in China during the past 50 years. The results show that the contribution of extreme high-temperature event clusters changed in the period from the 1960s to the 1970s, and its strength was enhanced. On the other hand, the decreasing trend in the clusters of low-temperature extremes can be taken as a signal for warmer winters to follow in the decadal time scale. Torrential rain and heavy rainfall clusters have both been lessened in the past 50 years, and have different cluster characteristics because of their definitions. Regions with high clustered indexes are concentrated in southern China. The spatial evolution of the heavy rainfall clusters reveals that clustered heavy rainfall has played an important role in the rain-belt pattern over China during the last 50 years.

Key words: extreme event, clusters, decadal clustered index

中图分类号:  (Weather analysis and prediction)

  • 92.60.Wc