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 | |
| 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 |
Fingerprint
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
Cite this
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
}
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
ER -