Articles | Volume 24, issue 5
https://doi.org/10.5194/nhess-24-1657-2024
https://doi.org/10.5194/nhess-24-1657-2024
Research article
 | 
14 May 2024
Research article |  | 14 May 2024

Application of the teaching–learning-based optimization algorithm to an analytical model of thunderstorm outflows to analyze the variability of the downburst kinematic and geometric parameters

Andi Xhelaj and Massimiliano Burlando

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Short summary
The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania, utilizing an analytical model and optimization algorithm. The goal is to explore a multitude of generating solutions and to identify potential alternatives to the optimal solution. Advanced data analysis techniques help to discern three main distinct storm scenarios. For this particular event, the best overall solution from the optimization algorithm shows promise in reconstructing the downburst.
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