Analysis of three-dimensional lightning data in a thunderstorm event

被引:0
|
作者
Feng Minxue [1 ]
Jiao Xue [1 ]
Zhong Yingying [1 ]
Zhou Yu [2 ]
机构
[1] Jiangsu Lightning Protect Ctr, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Inst Atmospher Phys, Nanjing, Jiangsu, Peoples R China
关键词
three-dimension; cloud flash; atmospheric electric field; early warning;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
With the three-dimensional lightning data, the relationship between lightning and radar, field mill data of thunderstorm on September 28th, 2014 is analyzed. The results show that, the lightning moves from north to south, mainly concentrated in the Jiangpu District, Jiangning District, Liuhe District and the center of Nanjing where lightning current is the strongest with the average of 31.06kA. During the development period of thunderstorm, cloud flash is relatively more active than cloud-ground flash, the occurrence of cloud flash indicates that the thunderstorm is coming and strengthening. Less lightning happen when echo scatters and low intensity, with the development of echo, lightning become intense, the combined reflective factor changes consistently with lightning. The change trend of lightning density is basically consistent with echo top height, the higher the echo top is, the more lightning happens. Lightning intensity changes slightly behind the echo top height. Before the first cloud flash, electric field changes quickly, with the sharp change of electric field, the thunderstorm becomes mature, lightning frequency increases rapidly until the storm dissipated, the electric field changes slowly, then lightning reduce. Three-dimensional lightning combined with other observation data, can be better used in the study of thunderstorm which has an important practical significance on the lightning monitoring and early warning.
引用
收藏
页码:297 / 300
页数:4
相关论文
共 50 条
  • [31] Estimate of NOX production in the lightning channel based on three-dimensional lightning locating system
    ZHANG Rong
    ZHANG GuangShu
    LI YaJun
    WANG YanHui
    WU Bin
    YU Hai
    LIU YanXiu
    ScienceChina(EarthSciences), 2014, 57 (07) : 1613 - 1625
  • [32] Three-Dimensional VHF Lightning Mapping System for Winter Thunderstorms
    Nishihashi, Masahide
    Shimose, Ken-ichi
    Kusunoki, Kenichi
    Hayashi, Syugo
    Arai, Ken-ichiro
    Inoue, Hanako Y.
    Mashiko, Wataru
    Kusume, Masako
    Morishima, Hiroyuki
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2013, 30 (02) : 325 - 335
  • [33] Three-Dimensional Mapping of Lightning-Produced Ionospheric Reflections
    Malins, J. B.
    Obenberger, K. S.
    Taylor, G. B.
    Dowell, J.
    RADIO SCIENCE, 2019, 54 (11) : 1129 - 1141
  • [34] Electrical thunderstorm nowcasting using lightning data mining
    Vasconcellos, C. A. M.
    Curotto, C. L.
    Benetti, C.
    Sato, F.
    Pinheiro, L. C.
    Data Mining VII: Data, Text and Web Mining and Their Business Applications, 2006, 37 : 161 - 166
  • [35] Quantitative Analysis of Three-Dimensional Fluorescence Localization Microscopy Data
    Owen, Dylan M.
    Williamson, David J.
    Boelen, Lies
    Magenau, Astrid
    Rossy, Jeremie
    Gaus, Katharina
    BIOPHYSICAL JOURNAL, 2013, 105 (02) : L05 - L7
  • [36] Computer at the Microscope: Visualization and Analysis of Three-Dimensional Microscopy Data
    de Leeuw, Wim
    ERCIM NEWS, 2005, (60): : 62 - 62
  • [37] Analysis of three-dimensional grids: The estimation of two missing data
    Silver, G. L.
    APPLIED MATHEMATICS AND COMPUTATION, 2007, 184 (02) : 743 - 747
  • [38] Functional data analysis and visualisation of three-dimensional surface shape
    Katina, Stanislav
    Vittert, Liberty
    W. Bowman, Adrian
    JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, 2021, 70 (03) : 691 - 713
  • [39] Determinants of international tourism: a three-dimensional panel data analysis
    Eilat, P
    Einav, L
    APPLIED ECONOMICS, 2004, 36 (12) : 1315 - 1327
  • [40] Triclustering Algorithms for Three-Dimensional Data Analysis: A Comprehensive Survey
    Henriques, Rui
    Madeira, Sara C.
    ACM COMPUTING SURVEYS, 2019, 51 (05)