Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 5
Articles | Volume 24, issue 5
https://doi.org/10.5194/nhess-24-1657-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-1657-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 5
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

Viewed

Total article views: 690 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
518 126 46 690 41 42
  • HTML: 518
  • PDF: 126
  • XML: 46
  • Total: 690
  • BibTeX: 41
  • EndNote: 42
Views and downloads (calculated since 20 Sep 2023)
Cumulative views and downloads (calculated since 20 Sep 2023)

Viewed (geographical distribution)

Total article views: 690 (including HTML, PDF, and XML) Thereof 680 with geography defined and 10 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 12 Nov 2024
Download
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.
Read more
Altmetrics
Final-revised paper
Preprint