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中国近50年来群发性高温事件的识别及统计特征
引用本文:况雪源,王遵娅,张耀存,孙丞虎,侯威.中国近50年来群发性高温事件的识别及统计特征[J].地球物理学报,2014,57(6):1782-1791.
作者姓名:况雪源  王遵娅  张耀存  孙丞虎  侯威
作者单位:1. 南京大学大气科学学院, 南京 210093; 2. 国家气候中心, 北京 100081
基金项目:全球变化研究国家重大科学研究计划(2012CB955901);国家自然科学基金(41105045,41130963)资助
摘    要:本文提出一种简化的识别群发性气候事件方法,对近50多年来全国群发性高温事件识别结果表明该方法物理意义明确,客观有效,符合实际.通过对近50年来群发性高温事件统计发现,不论是从发生频数、持续时间、影响站数还是综合强度来看,2000年以后的群发性高温事件都是5个年代中最显著的.与此同时,群发性高温事件具有明显的区域特征,长江以南地区发生频率最高,其次为黄河下游华北地区,以新疆为主的西北地区亦是多发区,各个区域群发性高温事件在不同月份的分布差异体现了我国季风雨带移动及下垫面的影响.

关 键 词:群发性高温事件  识别方法  统计特征  
收稿时间:2013-05-07

Identification and statistical characteristics of the cluster high temperature events during last fifty years
KUANG Xue-Yuan,WANG Zun-Ya,ZHANG Yao-Cun,SUN Cheng-Hu,HOU Wei.Identification and statistical characteristics of the cluster high temperature events during last fifty years[J].Chinese Journal of Geophysics,2014,57(6):1782-1791.
Authors:KUANG Xue-Yuan  WANG Zun-Ya  ZHANG Yao-Cun  SUN Cheng-Hu  HOU Wei
Institution:1. School of Atmospheric Sciences, Nanjing University, Nanjing 210093, China; 2. National Climate Center, Beijing 100081, China
Abstract:A simplified objective method to identify cluster climate event is proposed in this study and used for examining the cluster high temperature events occurred from 1961 to 2012. The identified results are consistent with the actual facts, implying the method with advantages of clear physical concept, simple operability and broad applicability is objective and effective. It is found that intensity of cluster high temperature events occurred after 2000 is the most significant among five decades either from the point of view of occurrence frequency, duration, affected stations or composite strength, which is in accord with the global warming trend. Furthermore, the scatter distribution of cluster high temperature event averaged centers is featured with regionality: the highest frequency is located the area south to Yangtze River, followed by the lower reaches of Yellow River in North China, and Xinjiang province is also frequent area. The annual frequency difference of cluster high temperature events in different areas can well reflects the impacts of the monsoon rains shift in China and the underlying surface.
Keywords:Cluster high temperature events  Identification methods  Statistical characteristics
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