Abstract
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 lightningcaused 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.
Original language | English |
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Title of host publication | 23rd International Symposium on Atmospheric and Ocean Optics |
Subtitle of host publication | Atmospheric Physics |
Editors | Gennadii G. Matvienko, Oleg A. Romanovskii |
Publisher | SPIE |
Volume | 10466 |
ISBN (Electronic) | 9781510614130 |
DOIs | |
Publication status | Published - 1 Jan 2017 |
Event | 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation Duration: 3 Jul 2017 → 7 Jul 2017 |
Conference
Conference | 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics |
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Country | Russian Federation |
City | Irkutsk |
Period | 3.7.17 → 7.7.17 |
Keywords
- clustering analysis
- estimation
- lightning activity
- method
- RS
- WWLLN
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering