A MULTI-ALGORITHM FUSION THUNDERSTORM SYSTEM RECOGNITION TECHNOLOGY BASED ON VLF/LF LIGHTNING DATA
WU Huali
ZHI Yaoling
LU Bingfu
ZENG Pen
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.
Keywords：VLF/LF lightning locatingparameter adaptationmulti-algorithm fusionthunderstorm identificationdensity clustering
Publication Date：2023-10-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：14( 785-798 )