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Abstract <p>The study considers experimental methods for identifying squalls in three intensity gradations according to the DMRL-C network data and refining the speed of gusts during a squall using numerical modeling. Particular attention is paid to the identification of severe squalls. The series of severe squalls on July 29, 2023 in the Middle Volga region is analyzed. The results of the verification of squalls using observational data from weather stations and the data on wind gust velocities recorded by automatic weather stations are presented.</p>

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Identification of Wind Gusts during a Squall from the DMRL-C Network and Numerical Modeling Data

  • 期刊论文

  • 发表日期：

    2025年11月20日

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  • A. A. Alekseeva,
  • V. M. Bukharov

摘要

Abstract

The study considers experimental methods for identifying squalls in three intensity gradations according to the DMRL-C network data and refining the speed of gusts during a squall using numerical modeling. Particular attention is paid to the identification of severe squalls. The series of severe squalls on July 29, 2023 in the Middle Volga region is analyzed. The results of the verification of squalls using observational data from weather stations and the data on wind gust velocities recorded by automatic weather stations are presented.