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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

Data sets

Thunderstorm Simulation and Optimization A. Xhelaj https://doi.org/10.5281/zenodo.11110453

Model code and software

FactoMineR: An R Package for Multivariate Analysis (https://cran.r-project.org/package=FactoMineR) S. Lê et al. https://doi.org/10.18637/jss.v025.i01

Thunderstorm Simulation and Optimization A. Xhelaj https://doi.org/10.5281/zenodo.11110453

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Short summary
The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania,...
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