Methods to estimate lightning activity using WWLLN and RS data

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
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	https://doi.org/10.1117/12.2286780
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
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

Access to Document

10.1117/12.2286780

Fingerprint Dive into the research topics of 'Methods to estimate lightning activity using WWLLN and RS data'. Together they form a unique fingerprint.

Cite this

Baranovskiy, N. V., Belikova, M. Y., Karanina, S. Y., Karanin, A. V., & Glebova, A. V. (2017). Methods to estimate lightning activity using WWLLN and RS data. In G. G. Matvienko, & O. A. Romanovskii (Eds.), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics (Vol. 10466). [104665F] SPIE. https://doi.org/10.1117/12.2286780

Methods to estimate lightning activity using WWLLN and RS data. / Baranovskiy, Nikolay V.; Belikova, Marina Yu; Karanina, Svetlana Yu; Karanin, Andrey V.; Glebova, Alena V.

23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ed. / Gennadii G. Matvienko; Oleg A. Romanovskii. Vol. 10466 SPIE, 2017. 104665F.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Baranovskiy, NV, Belikova, MY, Karanina, SY, Karanin, AV & Glebova, AV 2017, Methods to estimate lightning activity using WWLLN and RS data. in GG Matvienko & OA Romanovskii (eds), 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. vol. 10466, 104665F, SPIE, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, Irkutsk, Russian Federation, 3.7.17. https://doi.org/10.1117/12.2286780

@inproceedings{8fce8b20b3464a1fb2511861304a8a23,

title = "Methods to estimate lightning activity using WWLLN and RS data",

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.",

keywords = "clustering analysis, estimation, lightning activity, method, RS, WWLLN",

author = "Baranovskiy, {Nikolay V.} and Belikova, {Marina Yu} and Karanina, {Svetlana Yu} and Karanin, {Andrey V.} and Glebova, {Alena V.}",

year = "2017",

month = jan,

day = "1",

doi = "10.1117/12.2286780",

language = "English",

volume = "10466",

editor = "Matvienko, {Gennadii G.} and Romanovskii, {Oleg A.}",

booktitle = "23rd International Symposium on Atmospheric and Ocean Optics",

publisher = "SPIE",

address = "United States",

note = "23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics ; Conference date: 03-07-2017 Through 07-07-2017",

}

TY - GEN

T1 - Methods to estimate lightning activity using WWLLN and RS data

AU - Baranovskiy, Nikolay V.

AU - Belikova, Marina Yu

AU - Karanina, Svetlana Yu

AU - Karanin, Andrey V.

AU - Glebova, Alena V.

PY - 2017/1/1

Y1 - 2017/1/1

N2 - 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.

AB - 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.

KW - clustering analysis

KW - estimation

KW - lightning activity

KW - method

KW - RS

KW - WWLLN

UR - http://www.scopus.com/inward/record.url?scp=85043314554&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85043314554&partnerID=8YFLogxK

U2 - 10.1117/12.2286780

DO - 10.1117/12.2286780

M3 - Conference contribution

AN - SCOPUS:85043314554

VL - 10466

BT - 23rd International Symposium on Atmospheric and Ocean Optics

A2 - Matvienko, Gennadii G.

A2 - Romanovskii, Oleg A.

PB - SPIE

T2 - 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics

Y2 - 3 July 2017 through 7 July 2017

ER -