AUTHOR=Davison Silvio , Benetazzo Alvise , Barbariol Francesco , Ricchi Antonio , Ferretti Rossella 

TITLE=Characterization of extreme wave fields during Mediterranean tropical-like cyclones

JOURNAL=Frontiers in Marine Science

VOLUME=Volume 10 - 2023

YEAR=2024

URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2023.1268830

DOI=10.3389/fmars.2023.1268830

ISSN=2296-7745

ABSTRACT=The Mediterranean Sea is a primary source of food, ecosystem services and economic activities and one of the most active cyclogenetic regions in the world, where the influence of orographic and morphological features of the relatively small basin plays an important role. Together with the explosive cyclogenesis, tropical-like cyclones (also called Mediterranean Hurricanes or Medicanes) are among the strongest types of storms that can be found in the Mediterranean basin, occurring predominantly in the Ionian, Balearic and Tyrrhenian sub-basins. Similarly to tropical cyclones (Hurricanes or Typhoons), these cyclonic structures are characterized by strong rotating and translating wind fields, which often lead to a combination of remotely generated swell waves and locally generated wind waves, often referred to as crossing sea states. Despite their well-known potential to cause significant damage near islands and coastal zones, which is predicted to intensify as a result of climate change, to date the characterization of maximum individual waves generated during Medicanes is still lacking. In this study, we carry out the first analysis of the large-scale geographical distribution of wave maxima within the wave fields generated during three recent Medicane events, investigating the influence of crossing sea states on the maximum wave amplitudes with novel statistical formulations developed for such conditions. Our results show that several regions of the cyclone field are characterized by crossing sea states, whose role in the formation of the largest crest heights occurring near the eye of the storm is confined. Furthermore, extreme wave predictions accounting for the local crossing conditions yield differences up to 5% compared to standard statistical distributions.