基于网格的雷暴识别与追踪技术

Thunder storm identify and tracking technology based on grids

为实现对雷暴发展情况的实时监控,提出一种利用云地闪监测数据来评估雷暴覆盖范围并追踪雷暴发展和移动的模型。使用固定大小的网格去覆盖在某个时间段内发生云地闪的区域,使用一种广度优先的搜索算法对这些网格进行聚类;对于两个连读时间段内的聚类结果,采用地闪数据重叠法对相邻时间段内的聚类进行匹配,对雷暴进行追踪。通过在云地闪监测数据上的实验验证了该模型对雷暴识别和追踪的有效性。

To monitor the real time state of thunder storms, a model measuring areas affected by thunder storms and tracking moving storms was presented. Areas affected by thunder storm within a time interval was covered with fixed size grids, then an algorithm based on the breadth first search was applied to cluster these grids. To implement the tracking process, a method based on shared lightning data was applied between the clustering results generated from adjacent time intervals. Finally, the va- lidity of the method was verified by practical experiments running on real cloud-ground lightning data.