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基于指标叠套法的安徽省强对流天气潜势预警研究
引用本文:翟菁,周后福,张建军,黄勇.基于指标叠套法的安徽省强对流天气潜势预警研究[J].气象与环境学报,2011,27(2):1-7.
作者姓名:翟菁  周后福  张建军  黄勇
作者单位:1.安徽省气象科学研究所,安徽 合肥 230031;2.中国气象局云雾物理环境重点开放实验室, 北京 210008
基金项目:国家自然科学基金,中国气象局云雾物理环境重点开放实验室开放课题
摘    要:对2005-2007年4-9月安徽省冰雹、雷雨大风等强对流天气日数进行统计,分析了基于探空资料计算的不稳定指标与强对流天气发生的关系.结果表明:K指数、A指数、沙氏指数和对流有效位能、归一化对流有效位能和对流抑制能量这几个指标对于强对流天气指示意义较好.基于此结果,挑选K指数、沙氏指数和对流有效位能针对不同季节划分阈值...

关 键 词:指标叠套法  强对流天气  潜势预警  中尺度模式
收稿时间:2011-01-17

Study on potential warning of severe convective weather based on method of overlapping sets of indices in Anhui province, China
ZHAI Jing,ZHOU Hou-fu,ZHANG Jian-jun,HUANG Yong.Study on potential warning of severe convective weather based on method of overlapping sets of indices in Anhui province, China[J].Journal of Meteorology and Environment,2011,27(2):1-7.
Authors:ZHAI Jing  ZHOU Hou-fu  ZHANG Jian-jun  HUANG Yong
Institution:1. Institute of Meteorological Science in Anhui Province, Hefei 230031, China; 2. Key Laboratory for Cloud Physics and Weather Modification of China Meteorological Administration, Beijing 210008, China
Abstract:A number of days of severe convective weather during April to September from 2005 to 2007 in Anhui province were analyzed,and relationships between the severe convective weather and instability index calculated by sounding data were investigated.The results show that K,A,Si indices,convective available potential energy(CAPE),normalization convective available potential energy(NCAPE) and convective inhibition(CIN) are indicative of severe convective weather.Thus,the potential warning indices of severe convective weather are established,including K index and Si index as well as CAPE.According to these indices,the threshold values in the different seasons are determined.These indices are calculated by the products of MM5 mesoscale model.13 severe convective weather processes from 2005 to 2010 are predicted by the MM5 model.Compared with the real situation,warning products from the MM5 model are predictive to most of the cases.Among cases,two severe convective weather processes are analyzed in detail.It indicates that the MM5 mesoscale model could predict the potential of severe convective weather,especially for the time and location of the occurrence of severe convective weather.
Keywords:Overlapping sets of indices  Severe convective weather  Potential warning  Mesoscale model
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