Methods to estimate lightning activity using WWLLN and RS data

被引：0
|
作者：
Baranovskiy, Nikolay V. [1 ]
Belikova, Marina Yu. [2 ]
Karanina, Svetlana Yu. [2 ]
Karanin, Andrey V. [2 ]
Glebova, Alena V. [2 ]
机构：
[1] Natl Res Tomsk Polytech Univ, 30 Lenin Ave, Tomsk 634050, Russia
[2] Gorno Altaysk State Univ, 1 Lenkina St, Gorno Altaysk 649000, Russia
来源：
23RD INTERNATIONAL SYMPOSIUM ON ATMOSPHERIC AND OCEAN OPTICS: ATMOSPHERIC PHYSICS | 2017年 / 10466卷
关键词：
lightning activity; estimation; method; clustering analysis; WWLLN; RS;
D O I：
10.1117/12.2286780
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
The aim of the work is to develop a comprehensive method for assessing thunderstorm activity using WWLLN and RS data. It is necessary to group lightning discharges to solve practical problems of lightning protection and lightning-caused forest fire danger, as well as climatology problems using information on the spatial and temporal characteristics of thunderstorms. For grouping lightning discharges, it is proposed to use clustering algorithms. The region covering Timiryazevskiy forestry (Tomsk region, borders (55.93 - 56.86)x(83.94 - 85.07)) was selected for the computational experiment. We used the data on lightning discharges registered by the WWLLN network in this region on July 23, 2014. 273 lightning discharges were sampling. A relatively small number of discharges allowed us a visual analysis of solutions obtained during clustering.
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页数：6
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