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

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Cited articles

Argüeso, D., Marcos, M., and Amores, A.: Storm Daniel fueled by anomalously high sea surface temperatures in the Mediterranean, npj Clim. Atmos. Sci., 7, 307, https://doi.org/10.1038/s41612-024-00872-2, 2024. a
Bechtold, P., Köhler, M., Jung, T., Doblas-Reyes, F., Leutbecher, M., Rodwell, M. J., Vitart, F., and Balsamo, G.: Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time-scales, Q. J. Roy. Meteor. Soc., 134, 1337–1351, https://doi.org/10.1002/qj.289, 2008. a, b
Biswas, M. K., Bernardet, L., and Dudhia, J.: Sensitivity of hurricane forecasts to cumulus parameterizations in the HWRF model, Geophys. Res. Lett., 41, 9113–9119, https://doi.org/10.1002/2014GL062071, 2014. a
Brumer, S. E., Pantillon, F., Pianezze, J., Le Péru-Morvan, Y., Ragu-Fonta, M., Grand, L., Ricchi, A., Barboni, A., and Bouin, M.-N.: On the Tropical Nature of an Intense Mediterranean Cyclone in the Ocean-Atmosphere System, J. Geophys. Res.-Atmos., 131, https://doi.org/10.1029/2025JD046105, 2026. a
Carniel, C. E., Ricchi, A., Ferretti, R., Curci, G., Miglietta, M. M., Reale, M., Serafini, P., Wellmeyer, E. D., Davolio, S., Zardi, D., and Kantha, L.: A high-resolution climatological study of explosive cyclones in the Mediterranean region: Frequency, intensity and synoptic drivers, Q. J. Roy. Meteor. Soc., 150, 5561–5582, https://doi.org/10.1002/qj.4889, 2024. a
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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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