On July 24, 2023, the new European record for hail size was set in northeast (NE) Italy with a 19-cm wide hailstone recorded during a supercell outbreak. During this event, severe storms were triggered in the Alps, moved eastward, intensified rapidly in the foothills, and generated damaging hailstorms in the plains. A detailed analysis of the available observations and numerical simulations highlights that the atmospheric environment was unusual. A high-Theta(e) tongue over the Adriatic Sea was lifted by a southerly flow above the cold pool generated by the thunderstorm outflow associated with an initial supercell. This raised the most unstable layer to 1-2 km above mean sea level in the area affected by the record-breaking hailstorm. The vertical profile was characterized by moderate potential instability (likely a value of MUCAPE 1200 J center dot kg(-1) fed the storms) and an intense southwesterly flow in the mid-troposphere. Additionally, there was anomalously high water-vapor transport in the layer 2-5 km above mean sea level. Consequently, high instability seems unnecessary for the occurrence of giant hailstorms in the region. This hypothesis is assessed with a statistical analysis performed for the 2018-2023 period in NE Italy using hail reports and observed soundings. The results show that hail size has a much lower correlation with potential instability (R similar to 0.3) compared with kinematic parameters of the mid-troposphere and water-vapor transport (R similar to 0.5-0.6). Furthermore, thermodynamic parameters have better skill in predicting the occurrence of hail or large hail (> 2 cm), while kinematic parameters of the mid-troposphere are better predictors for very large (> 5 cm) and giant (> 8 cm) hail events.

De Martin, F., Manzato, A., Carlon, N., Setvak, M., Miglietta, M.M. (2025). Dynamic and statistical analysis of giant hail environments in northeast Italy. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 151(769), 1-33 [10.1002/qj.4945].

Dynamic and statistical analysis of giant hail environments in northeast Italy

De Martin F.
;
2025

Abstract

On July 24, 2023, the new European record for hail size was set in northeast (NE) Italy with a 19-cm wide hailstone recorded during a supercell outbreak. During this event, severe storms were triggered in the Alps, moved eastward, intensified rapidly in the foothills, and generated damaging hailstorms in the plains. A detailed analysis of the available observations and numerical simulations highlights that the atmospheric environment was unusual. A high-Theta(e) tongue over the Adriatic Sea was lifted by a southerly flow above the cold pool generated by the thunderstorm outflow associated with an initial supercell. This raised the most unstable layer to 1-2 km above mean sea level in the area affected by the record-breaking hailstorm. The vertical profile was characterized by moderate potential instability (likely a value of MUCAPE 1200 J center dot kg(-1) fed the storms) and an intense southwesterly flow in the mid-troposphere. Additionally, there was anomalously high water-vapor transport in the layer 2-5 km above mean sea level. Consequently, high instability seems unnecessary for the occurrence of giant hailstorms in the region. This hypothesis is assessed with a statistical analysis performed for the 2018-2023 period in NE Italy using hail reports and observed soundings. The results show that hail size has a much lower correlation with potential instability (R similar to 0.3) compared with kinematic parameters of the mid-troposphere and water-vapor transport (R similar to 0.5-0.6). Furthermore, thermodynamic parameters have better skill in predicting the occurrence of hail or large hail (> 2 cm), while kinematic parameters of the mid-troposphere are better predictors for very large (> 5 cm) and giant (> 8 cm) hail events.
2025
De Martin, F., Manzato, A., Carlon, N., Setvak, M., Miglietta, M.M. (2025). Dynamic and statistical analysis of giant hail environments in northeast Italy. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 151(769), 1-33 [10.1002/qj.4945].
De Martin, F.; Manzato, A.; Carlon, N.; Setvak, M.; Miglietta, M. M.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1011102
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