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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
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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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KEYWORDS
Clouds
Convection
Atmospheric monitoring
Atmospheric sciences
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