The Bayesian sinking in Porticello: a predictable convective windstorm?

Abstract The meteorological phenomenon that led to the Bayesian yacht sinking in Sicily at 0206 utc on 19 August 2024 is here investigated. A thunderstorm occurred during the sinking, but uncertainties exist whether a waterspout or a convective windstorm affected the ship. An in‐depth analysis of available observations highlighted that the ship was likely struck by a convective windstorm. The predictability of the event was also investigated. Operational simulations performed with the high‐resolution numerical model ICON initialised one day ahead pointed out that a convective wind gust hazard was predicted over the southern Tyrrhenian Sea during that night.

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Publication Details

Journal
Weather
Published
2025-04-14
DOI
https://doi.org/10.1002/wea.7715
Citations
3
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
3.90
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The Bayesian sinking in Porticello: a predictable convective windstorm?

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article

The Bayesian sinking in Porticello: a predictable convective windstorm?

Mario Marcello Miglietta, Thomas Gastaldo, Federico Pavan, Silvana Di Sabatino, Michele Martinazzo, Francesco De Martin, Matteo Siena
article en
3 citations

Abstract

Abstract The meteorological phenomenon that led to the Bayesian yacht sinking in Sicily at 0206 utc on 19 August 2024 is here investigated. A thunderstorm occurred during the sinking, but uncertainties exist whether a waterspout or a convective windstorm affected the ship. An in‐depth analysis of available observations highlighted that the ship was likely struck by a convective windstorm. The predictability of the event was also investigated. Operational simulations performed with the high‐resolution numerical model ICON initialised one day ahead pointed out that a convective wind gust hazard was predicted over the southern Tyrrhenian Sea during that night.

WeatherVol. 80(11)
Institute of Atmospheric Sciences and Climate (IT), Agenzia Regionale Prevenzione e Ambiente della Regione Emilia-Romagna (IT), National Research Council (IT), University of Bologna (IT)
Openalex Percentile: Top 7%
Meteorological Phenomena and Simulations
3.90
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