Comparative analysis of spatiotemporal distribution and parameter characteristics of 3D and 2D lightning location data on Hainan Island
The three-dimensional(3D)and two-dimensional(2D)lightning positioning data on Hainan Island from April to October of 2021-2022 are processed for quality control,and the spatiotemporal distribution and parameter characteristics of the two systems are compared and analyzed.The results show that:the 3D lightning positioning system is significantly better than the 2D lightning positioning system in terms of detection sensitivity and detection efficiency.The density distribution and time distribution characteristics of 2D ground lightning,3D ground lightning and 3D cloud lightning are similar,with the high density centers distributed in Danzhou and Baisha in the west of Hainan Island,and the time distribution is characterized by unimodal curve,with the peak period at 15:00-16:00.The monthly distribution of 3D ground lightning and 3D cloud lightning is characterized by a triple-peak curve,with May as the main peak,July as the second peak,and September as the third peak,and that of 2D ground lightning is characterized by a single-peak curve,with July as the peak period.The monthly distribution of 2D ground flashes is characterized by a single-peak curve,with July as the peak period.The percentage of 2D positive ground lightning is lower than that of 3D positive ground lightning,and the median current of 2D positive and negative ground lightning is higher than that of 3D positive and negative ground lightning;the current amplitudes of 2D positive and negative ground lightning are 10～20 kA and 20～30 kA,respectively,as the peaks of the ground lightning,and the current amplitudes of 3D positive and negative ground lightning are 0～10 kA as the peaks of the ground lightning.After quality control,the density distributions of 2D ground lightning,3D ground lightning and 3D clound lightning are similar to the time and monthly distributions,indicating that the quality control method is reasonable and effective.
国家科技期刊平台
NSTL
万方数据
