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Study of Thundercloud Characteristics in Northwest Russia Using Neural Networks

  • REMOTE SENSING OF ATMOSPHERE, HYDROSPHERE, AND UNDERLYING SURFACE
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Abstract

The paper presents results of the analysis of radar characteristics of clouds, including polarization characteristics, and lightning data for June 9, 2020, in the vicinity of St. Petersburg during intense thunderstorm activity. Characteristics of thunderclouds and clouds without lightning are compared. Statistical data about their differences are presented. The regression analysis of the correlation between the lightning flash rate and radar characteristics of clouds is performed using neural networks. The impact of these parameters on the lightning flash rate has been estimated. A mathematical expression for calculating the lightning flash rate by data on the differential reflectivity maximum of the cloud and the volume of its supercooled part with reflectivity of not less than 35 dBZ is derived.

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Funding

The study was supported by the Russian Science Foundation (project no. 22-27-20 031) and St. Petersburg Scientific Foundation (agreement no. 58/2022 of April 15, 2022).

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Authors and Affiliations

  1. Voeikov Main Geophysical Observatory, 194021, St. Petersburg, Russia

    A. A. Sin’kevich, A. B. Kurov, Yu. P. Mikhailovskii, M. L. Toropova & N. E. Veremei

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  1. A. A. Sin’kevich
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  2. A. B. Kurov
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  3. Yu. P. Mikhailovskii
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  4. M. L. Toropova
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  5. N. E. Veremei
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Corresponding author

Correspondence to A. B. Kurov.

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The authors declare that they have no conflicts of interest.

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Translated by A. Nikol’skii

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Sin’kevich, A.A., Kurov, A.B., Mikhailovskii, Y.P. et al. Study of Thundercloud Characteristics in Northwest Russia Using Neural Networks. Atmos Ocean Opt 36, 137–143 (2023). https://doi.org/10.1134/S1024856023030107

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  • DOI: https://doi.org/10.1134/S1024856023030107

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