秦微1,2,张其林1,2,赖悦1,2,姜苏1,2,陈媛1,2,苏建峰1,2

为了更好的利用闪电资料和雷达回波资料来对雷电进行临近预警,本文以深圳地区2012年4月一次强飑线过程为例,分析该次过程中的闪电活动与雷达回波特征,发现地闪分布与雷达回波强度之间表现出很好的对应关系。因此,本文采用TITAN(Thunderstorm Identification, Tracking, Analysis, and Nowcasting)算法对这次强风暴过程中40dBZ以上的强回波区进行识别、跟踪和外推,并与闪电高密度区域的识别、跟踪和外推结果进行对比分析。结果表明：TITAN算法识别效果理想,且识别结果与单体的发展旺盛程度有关；另外,雷达强回波区和闪电高密度区的外推精度与外推开始时刻、外推时间的长短有关；利用闪电高密度区进行外推时,外推的质心误差小于雷达强回波区的外推质心误差。

Algorithm research of the lightning nowcasting based on the lightning location data and radar data

In order to better warning the lightning based on the ADTD data and radar data. This paper analyzes the Doppler radar echo and Lightning location data of aSsquall lineSweather process occurred in Shenzhen on April 27 2012.We findSthat the CG flash distribution showed a good corresponding relation with the radar echo intensity. SSo, this paper uses Thunderstorm, Identification, Tracking, Analysis and Nowcasting (TITAN) algorithm to identify cells with reflectivity >40 dBZ and the lightning location data, and contrast the differences between the two results. The results show that TITAN algorithm can identify the strong radar echo area and lightning high-density areas, but there are differences in the identification result. The accuracy of nowcasting is related to the start time and the length of nowcasting time. The forecasting effect is more ideal using lightning data than radar echo.