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气象:2010,36(2):33-38
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河南省强对流天气诊断分析预报系统
(河南省气象台, 郑州 450003)
Diagnostic Analysis and Forecasting System of the Severe Convective Weather in Henan Province
(Meteorological Observatory of Henan Province, Zhengzhou 450003)
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投稿时间:2008-02-20    修订日期:2009-11-18
中文摘要: 强对流预报是天气预报的难点,为了提高预报强对流、特别是预报区域性强对流天气的预报能力,应用河南省1995—2004年的气象观测资料作分析样本,并计算多个大气动力和热力学参数。经过统计分析、诊断分析,选择预报能力强、指示性好的大气动力或热力学参数作为强对流天气的预报因子,采用加权集成建立预报方程。应用计算机技术自动实现从数据采集、物理参数计算、预报因子临界值判别、诊断预报方程运算,到以MICAPS图形方式输出预报结果,建立了河南省区域强对流天气预报系统。该系统为预报员提供了一种科学客观的参考依据,在近两年的业务运行中取得了比较理想的预报效果,提升了河南省强对流天气的预报能力。
Abstract:Severe convection is a difficult problem in the weather forecast. For the purpose of increasing the forecasting ability of severe convective weather, especially the local severe convective weather, we have calculated lots of dynamical and thermal parameters by using the analysis model of meteorological observing data from 1995 to 2004 in Henan Province. By statistic and diagnostic analyses we chose better atmospheric dynamical or thermal parameters of forecasting ability and indexes as severe convective forecasting predictors, and then established a forecasting equation by using weighted integrating. We applied computer technology to realize auto collecting data, calculating physical parameters, distinguishing threshold value of predictor and operating diagnostic forecasting equation to output forecast conclusions by means of MICAPS figure at last. Based on these we have built the forecasting system of local severe convective weather of Henan. This system has offered a scientific and objective reference for the forecasters and gotten quite perfect predicting effect in the operational running in the latest two years, thus lifted the forecasting ability of severe convective weather in Henan.
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基金项目:2007年度公益性行业(气象)科研专项GYHY(QX)2007 6 12资助
引用文本:
赵培娟,吴蓁,郑世林,范学峰,李朝兴,2010.河南省强对流天气诊断分析预报系统[J].气象,36(2):33-38.
ZHAO Peijuan,WU Zhen,ZHENG Shilin,FAN Xuefeng,LI Chaoxing,2010.Diagnostic Analysis and Forecasting System of the Severe Convective Weather in Henan Province[J].Meteor Mon,36(2):33-38.