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The application of lightning forecasting based on surface electrostatic field observations and radar data
Authors:Qingfeng Zeng  Zhenhui Wang  Fengxia Guo  Minxue Feng  Shenghui Zhou  Hao Wang  Dongpu Xu
Institution:1. Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, PR China;2. School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, PR China;3. Jiangsu Lightning Protection Center, Nanjing 210008, PR China
Abstract:This paper presents an analysis of lightning forecasting based on atmospheric electrostatic field (EF), radar and lightning location data in Nanjing of China. The warning behavior with EF data in summer of 2009 was analyzed and the suitable EF warning indexes were determined. To improve EF warnings effect, a method of cloud-ground (CG) lightning nowcasting based on EF observations, radar data, etc. was proposed and the best radar forecasting index was selected in the paper. The experimental (2009) and independent test (2010) results show that POD is 82.7%, FAR is 14.6%, CSI is 72.4% and average lead time is 20.8 min.
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