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

Data sets

GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V07 G. J. Huffman et al. https://disc.gsfc.nasa.gov/datasets/GPM_3IMERGHH_07/summary?keywords=%22IMERG%20final%22

ERA5 hourly data on single levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1940 to present H. Hersbach et al. https://doi.org/10.24381/cds.bd0915c6

Model code and software

Ser-Piero/HIMPACT-cyclones-tracker (Version v1.6) Piero Serafini https://doi.org/10.5281/zenodo.19695732

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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.
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