An integrated strategy of AEF attribute evaluation for reliable thunderstorm detection  

作　　者：Xu Yang Hongyan Xing Xinyuan Ji Xin Su Witold Pedrycz 

机构地区：[1]School of Electronics and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China [2]Department of Electrical and Computer Engineering,University of Alberta,Edmonton AB T6G 2R3,Canada [3]College of Internet of Things Engineering,Hohai University,Changzhou 213022,China [4]Systems Research Institute,Polish Academy of Sciences,00-901 Warsaw,Poland [5]Department of Computer Engineering,Faculty of Engineering and Natural Sciences,Istinye University,Sariyer/Istanbul,Turkey

出　　处：《Digital Communications and Networks》2025年第1期234-245,共12页数字通信与网络(英文版)

基　　金：supported in part by the National Natural Science Foundation of China under Grant 62171228;in part by the National Key R&D Program of China under Grant 2021YFE0105500;in part by the Program of China Scholarship Council under Grant 202209040027。

摘　　要：Thunderstorm detection based on the Atmospheric Electric Field(AEF)has evolved from time-domain models to space-domain models.It is especially important to evaluate and determine the particularly Weather Attribute(WA),which is directly related to the detection reliability and authenticity.In this paper,a strategy is proposed to integrate three currently competitive WA's evaluation methods.First,a conventional evaluation method based on AEF statistical indicators is selected.Subsequent evaluation approaches include competing AEF-based predicted value intervals,and AEF classification based on fuzzy c-means.Different AEF attributes contribute to a more accurate AEF classification to different degrees.The resulting dynamic weighting applied to these attributes improves the classification accuracy.Each evaluation method is applied to evaluate the WA of a particular AEF,to obtain the corresponding evaluation score.The integration in the proposed strategy takes the form of a score accumulation.Different cumulative score levels correspond to different final WA results.Thunderstorm imaging is performed to visualize thunderstorm activities using those AEFs already evaluated to exhibit thunderstorm attributes.Empirical results confirm that the proposed strategy effectively and reliably images thunderstorms,with a 100%accuracy of WA evaluation.This is the first study to design an integrated thunderstorm detection strategy from a new perspective of WA evaluation,which provides promising solutions for a more reliable and flexible thunderstorm detection.

关 键 词：Atmospheric electric field(AEF) THUNDERSTORM ATTRIBUTE Fuzzy c-means IMAGING 

分 类 号：P44[天文地球—大气科学及气象学]