Detecting embedded convection based on the surface atmospheric electric ﬁeld data

Konstantin N. Pustovalov; Michael M. Kabanov; Sergei N. Kapustin; Alexey A. Kobzev; Petr M. Nagorskiy; Alexey E. Tel’minov

doi:10.1117/12.2504605

13 December 2018 Detecting embedded convection based on the surface atmospheric electric ﬁeld data

Konstantin N. Pustovalov, Michael M. Kabanov, Sergei N. Kapustin, Alexey A. Kobzev, Petr M. Nagorskiy, Alexey E. Tel’minov

Author Affiliations +

Proceedings Volume 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 108338K (2018) https://doi.org/10.1117/12.2504605
Event: XXIV International Symposium, Atmospheric and Ocean Optics, Atmospheric Physics, 2018, Tomsk, Russian Federation

Abstract

The paper suggests an approach for cumulonimbus clouds detection, including embedded convection, based on threshold values of surface atmospheric electric field potential gradient. On the example of IMCES SB RAS (Tomsk) measuringcomputation system, authors demonstrate the effectiveness of such approach implementation for real-time information obtaining on submerged convection in frontal cloud fields.

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Konstantin N. Pustovalov, Michael M. Kabanov, Sergei N. Kapustin, Alexey A. Kobzev, Petr M. Nagorskiy, and Alexey E. Tel’minov "Detecting embedded convection based on the surface atmospheric electric ﬁeld data", Proc. SPIE 10833, 24th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 108338K (13 December 2018); https://doi.org/10.1117/12.2504605

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