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决策树方法在一次历史异常雷电活动中的预报能力检验
引用本文:靳小兵,徐会明,卜俊伟,李一丁,田琨.决策树方法在一次历史异常雷电活动中的预报能力检验[J].四川气象,2013(4):56-60,78.
作者姓名:靳小兵  徐会明  卜俊伟  李一丁  田琨
作者单位:[1]四川省防雷中心,成都610072 [2]成都市气象台,成都610071
基金项目:四川省雷电潜势预报业务系统(川气应08-19);成都市雷电预警预报方法研究(川气2007-11)
摘    要:利用ncep1°×1°再分析资料和四川闪电定位仪监测网的监测资料,基于四川雷电潜势预报决策树的三类预报因子,针对2008年9月22~25日四川盆地西北部连续性雷电活动过程,重点分析了连续性雷电活动的环流背景和主要天气影响系统、热力结构特征、动力结构特征,检验了基于决策树方法筛选出的雷电潜势预报因子对连续性雷电活动的预报能力.结果表明:1)“9·23”连续性雷暴天气过程存在对流性雷暴以及副高和地面冷空气共同作用下形成的雷暴时段.雷暴区内始终存在着高能不稳定的热力条件,具有“对流层中低层正涡度、对流层高层负涡度”的典型雷暴动力结构.2)雷电潜势预报决策树的三大类预报因子能较好地预报本次雷电活动.

关 键 词:决策树方法  雷电潜势预报  预报能力检验

The Forecast Ability Test of Decision Tree Method in an Abnormal Lightning Activity
JIN Xiaobing,XU Huiming,PU Junwei,LI Yiding,TIAN Kun.The Forecast Ability Test of Decision Tree Method in an Abnormal Lightning Activity[J].Journal of Sichuan Meteorology,2013(4):56-60,78.
Authors:JIN Xiaobing  XU Huiming  PU Junwei  LI Yiding  TIAN Kun
Institution:1. Lightning Protection Center, Sichuan Meteorological Administration, Chengdu 610072, China ; 2. Meteorological Observatory, Chengdu Meteorological Administration, Chengdu 610071, China)
Abstract:Using NCEP1°×1° reanalysis data and lightning monitoring data of Sichuan lightning location monitoring network system, Based on three kinds of forecast factors of Sichuan lightning potential forecasting decision tree, in allusion to the persistent lightning activity process in the northwestern Sichuan Basin of September 23rd to September 25th ,2008, special anal- ysis the circulation background of persistent lightning activity and main weather system, thermal structure characteristics, dy- namic characteristics, test the prediction ability of lightning potential forecasting factor which selected by decision tree method on the persistent lightning activity process. The result shows : 1 ) in persistent thunderstorm weather process of September 23rd, there are convective thunderstorm and thunderstorm period under the common action of subtropical high and surface cold air. Thunderstorm area always has a high - energy unstable thermal condition, which has typical characteristic of thunderstorm dynamic by the middle and low troposphere positive vorticity, negative vorticity in the upper troposphere. 2) Three kinds of forecast factors of lightning potential forecasting decision tree can effectively forecast the lightning activity.
Keywords:decision tree method  lightning potential forecasting  test of prediction ability
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