气候变化领域集成服务门户(CCPortal): A low frequency 3D lightning mapping network in north China

CCPortal

DOI	10.1016/j.atmosres.2020.105314
	A low frequency 3D lightning mapping network in north China
	Ma Z.; Jiang R.; Qie X.; Xing H.; Liu M.; Sun Z.; Qin Z.; Zhang H.; Li X.
发表日期	2021
ISSN	0169-8095
卷号	249
英文摘要	A 3D low-frequency lightning mapping network with eight stations is deployed in the SHAndong Triggering Lightning Experiment (SHATLE) in north China. The ABA (A, B double time base) data acquisition system based on first input first output memory is adopted. The effective and stable acquisition of electromagnetic radiation data from lightning is realized by designing real-time monitoring of the acquisition speed. The accuracy of the time of the data is ensured using a double timestamp scheme. Noise pulse analysis is integrated to effectively solve the adverse effects of the background noise during the 3D location of the lightning radiation sources. According to the error distribution obtained by Monte Carlo estimation, the horizontal location errors are <200 m in the coverage area of the network. The ground truth calibration based on six return strokes of a triggered lightning flash gives an average horizontal error of 104.9 m. The details of development of both the cloud-to-ground lightning flash and the intracloud lightning flash can be clearly mapped in the 3D location. To reduce the influence of the zig-zag development of lightning on the estimation of propagation speed, a method to calculate the 3D propagation speed of the lightning branch based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm is proposed. The accuracy of the estimated 3D development speed of the lightning branch is improved by the proposed method. © 2020 Elsevier B.V.
英文关键词	3D lightning location; Branch; Data acquisition system; Propagation speed; Radiation sources
语种	英语
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/141641
作者单位	Collaborative Innovation Center for Meteorological Disaster Prediction and Evaluation, Nanjing University of Information Science and Technology, Nanjing, China; Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; College of Earth Science, University of Chinese Academy of Sciences, Beijing, China; Guangdong-Hongkong-Macao Greater Bay Area Weather Research Center for Monitoring Warning and Forecasting (Shenzhen Institute of Meteorological Innovation), Shenzhen, 518048, China
推荐引用方式 GB/T 7714	Ma Z.,Jiang R.,Qie X.,et al. A low frequency 3D lightning mapping network in north China[J],2021,249.
APA	Ma Z..,Jiang R..,Qie X..,Xing H..,Liu M..,...&Li X..(2021).A low frequency 3D lightning mapping network in north China.Atmospheric Research,249.
MLA	Ma Z.,et al."A low frequency 3D lightning mapping network in north China".Atmospheric Research 249(2021).