Paper
30 November 2017 Methods to estimate lightning activity using WWLLN and RS data
Nikolay V. Baranovskiy, Marina Yu. Belikova, Svetlana Yu. Karanina, Andrey V. Karanin, Alena V. Glebova
Author Affiliations +
Proceedings Volume 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 104665F (2017) https://doi.org/10.1117/12.2286780
Event: XXIII International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2017, Irkutsk, Russian Federation
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.
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Nikolay V. Baranovskiy, Marina Yu. Belikova, Svetlana Yu. Karanina, Andrey V. Karanin, and Alena V. Glebova "Methods to estimate lightning activity using WWLLN and RS data", Proc. SPIE 10466, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 104665F (30 November 2017); https://doi.org/10.1117/12.2286780
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KEYWORDS
Remote sensing

Data analysis

Statistical analysis

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