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强雷电天气过程闪电定位资料分析及预警服务
引用本文:黄兰兰.强雷电天气过程闪电定位资料分析及预警服务[J].气象与环境科学,2014,37(3):88-93.
作者姓名:黄兰兰
作者单位:信阳市气象局,河南信阳,464000
摘    要:利用ADTD雷电定位显示监测系统资料和常规天气预报资料及驻马店多普勒雷达回波资料,对2013年7月20日信阳地区强雷暴天气的地闪和雷达回波的特征及相互关系进行了分析,结果表明闪电密集区移动方向的前沿位置与30dBz雷达回波区位置重叠,闪电密集区的移动可以准确地反映出对流云团的移动趋势。闪电密集区消失早于雷达回波区消散,地闪强度减小趋势比雷达回波减弱有30到60min的提前量。正地闪的出现,预示对流云团发展;正地闪消失,预示对流云团进入消亡阶段。利用闪电定位资料分析预测闪电落区和时效性比单一使用雷达回波资料更准确。闪电密集区的移动可以准确地反映出对流云团的移动趋势,因此可以将30或60min闪电分布图引入对流性天气的跟踪监测和预警预报业务中。

关 键 词:闪电定位资料  雷达回波  特征  预警

Lightning Location Data Analysis and Early Warning Service in Strong Thunderstorm Weather Process
Huang Lanlan.Lightning Location Data Analysis and Early Warning Service in Strong Thunderstorm Weather Process[J].Meteorological and Environmental Sciences,2014,37(3):88-93.
Authors:Huang Lanlan
Institution:Huang Lanlan (Xinyang Meteorological Office, Xinyang 464000, China)
Abstract:Using the lightning location data from ADTD monitoring system, conventional meteoro- logical observation data and the radar echo data of Zhumadian Doppler radar, we analyzed the relation- ship between the Xinyang lightning and radar echo of the strong thunderstorm weather in July 20, 2013. The results are as follows. The front side of the moving lightning concentration areas has overlap with the 30 dBz radar echo area. The moving lightning concentration areas can accurately reflected the moving trend of convective clouds. The disappearance of lightning dense area is earlier than the dissipation of strong radar echo area; there is a 30 vain to 60 min lightning distribution earlier than the radar echo. The positive flash appearance and disappearance could predict that convective cloud are growing and recess- ing. The lightning data can be analyzed to forecast lightning location and time-effectiveness which is bet- ter than merely utilizing radar echo data. The moving lightning concentration areas can accurately reflect the moving trend of convective clouds. So the 30 min or 60 min lighting mapping can be used in the oper- ation of convective weather tracking monitoring and early warning forecasting.
Keywords:lightning location data  radar echo  feature  early warning
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