Articles | Volume 7, issue 3
https://doi.org/10.5194/wcd-7-1525-2026
https://doi.org/10.5194/wcd-7-1525-2026
Research article
 | 
26 Aug 2026
Research article |  | 26 Aug 2026

Multi-model high-resolution analysis of Tropical-Like Cyclone Daniel with WRF and ICON: peculiarities and sensitivity to convection schemes

Piero Serafini, Antonio Ricchi, Chiara Marsigli, Cristiano D'Amico, Matteo Nastasi, Renata Pelosini, and Rossella Ferretti

Viewed

Total article views: 1,048 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
687 303 58 1,048 23 51 58
  • HTML: 687
  • PDF: 303
  • XML: 58
  • Total: 1,048
  • Supplement: 23
  • BibTeX: 51
  • EndNote: 58
Views and downloads (calculated since 16 Apr 2026)
Cumulative views and downloads (calculated since 16 Apr 2026)

Viewed (geographical distribution)

Total article views: 1,048 (including HTML, PDF, and XML) Thereof 1,031 with geography defined and 17 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 17 Sep 2026
Download
Short summary
We studied the 2023 Mediterranean Hurricane Daniel, an extreme storm that is difficult to predict. Using two high-resolution weather models, we analysed how different representations of clouds affect the results. Although the storm's path was clear, the intensity of the wind and rain varied significantly. The results show that precise settings are vital for effective warnings, improving the ability to predict these rare weather events to better protect the region.
Share