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一种基于VLF/LF闪电数据的多算法融合雷暴系统识别技术

伍华丽 植耀玲 卢炳夫 曾鹏

热带气象学报2023,Vol.39Issue(5):785-798,14.
热带气象学报2023,Vol.39Issue(5):785-798,14.DOI:10.16032/j.issn.1004-4965.2023.068

一种基于VLF/LF闪电数据的多算法融合雷暴系统识别技术

A MULTI-ALGORITHM FUSION THUNDERSTORM SYSTEM RECOGNITION TECHNOLOGY BASED ON VLF/LF LIGHTNING DATA

伍华丽 1植耀玲 1卢炳夫 1曾鹏1

作者信息

  • 1. 广西壮族自治区气象灾害防御技术中心,广西 南宁 530022
  • 折叠

摘要

Abstract

In order to deeply explore the benefits of a VLF/LF 3D lightning monitoring network in lightning proximity warning,this paper proposes a multiple algorithm fusion thunderstorm system identification technique based on VLF/LF lightning data.First,the OPTICS clustering algorithm was improved to make it parameter-adaptive,i.e.,the initial input parameters Min_ρ was calculated in real time by using the double total t-test method and the spatial distribution characteristics based on VLF/LF lightning data,making it adaptive to the lightning data to be processed.Then it was applied in combination with the K-Means clustering algorithm,whose advantages was able to calculate the cluster center iteratively to improve the defect that the center of thunderstorms cannot be accurately located by the OPTICS algorithm.Tested by thunderstorm weather processes on different scales,this technique effectively solves the defects of the conventional density clustering algorithms,e.g.,the OPTICS algorithm can neither be applied to VLF/LF lightning data clustering processing nor distinguish adjacent thunderstorms with little difference in density.It identifies arbitrary scale shape thunderstorms and accurately calculates the centroid.Therefore this technique provides better thunderstorm system identification results for thunderstorm tracking and trend extrapolation compared with traditional clustering techniques,and also serves as an effective knowledge base support for severe thunderstorms forecasting and lightning warning model training.

关键词

VLF/LF闪电定位/参数自适应/多算法融合/雷暴识别/密度聚类

Key words

VLF/LF lightning locating/parameter adaptation/multi-algorithm fusion/thunderstorm identification/density clustering

分类

天文与地球科学

引用本文复制引用

伍华丽,植耀玲,卢炳夫,曾鹏..一种基于VLF/LF闪电数据的多算法融合雷暴系统识别技术[J].热带气象学报,2023,39(5):785-798,14.

基金项目

广西重点研发计划项目(桂科AB20238035) (桂科AB20238035)

广西气象科研计划项目(桂气科2023QN08、桂气科2019M04) (桂气科2023QN08、桂气科2019M04)

广西自然科学基金项目(2016GXNSFAA380184) (2016GXNSFAA380184)

广西壮族自治区气象灾害防御技术中心科研计划项目(桂气防2021M03)共同资助 (桂气防2021M03)

热带气象学报

OA北大核心CSCDCSTPCD

1004-4965

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