Identification of atmospheric circulation schemes that promote summer hail events in the Northern Italy

In Europe, hailstorms are a major source of weather-related damages, and Northern Italy represents one of the areas at the greatest risk. Although several works have analysed severe hailstorms in the Mediterranean area, they are largely case-based and do not provide a systematic classification of the synoptic circulation regimes that favour them. In this study, we analysed summer hail events in Northern Italy over the period 2014–2023 using the satellite-based Microwave Cloud Classification dataset, which provides detection of hail ≥2 cm. A total of 122 events were identified and classified through Principal Component Analysis and k-means clustering, leading to three distinct spatial patterns. ERA5 reanalysis was used to characterize the associated large-scale circulation. Common features across all clusters include south-westerly flow in the mid-troposphere, upper-level divergence at 250 hPa, and enhanced mid-tropospheric moisture transport. Spatial pattern 1 is mainly linked to hail in north-eastern Italy, spatial pattern 2 to the western Po Plain and northern Tyrrhenian areas, and spatial pattern 3 to north-western Italy and the Alps. The pattern 3 is particularly distinct, showing stronger geopotential and temperature anomalies, with moisture transport between 600 and 800 hPa exceeding the 90th percentile of the decade. Comparing the sub-periods 2014–2018 and 2019–2023, we found both an increase in hail frequency and a larger contribution of Cluster 3. These results highlight the role of synoptic-scale variability in shaping hail risk in Northern Italy and suggest a shift toward circulation types more favourable for Alpine hail over the past years. The methodology and findings provide a framework for future analyses linking hail occurrence to large-scale climate variability and projections. • Three main spatial patterns of summer hail identified in Northern Italy. • Each pattern linked to distinct synoptic circulation and moisture supply. • Warm and moist air from the Adriatic supports convection in two patterns. • Pattern 3 shows stronger anomalies and deep mid-tropospheric moisture. • Hail frequency and Alpine-related pattern contribution increased recently.

Authors

Institutions

Publication Details

Journal
Atmospheric Research
Published
2026-04-03
DOI
https://doi.org/10.1016/j.atmosres.2026.108990
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Identification of atmospheric circulation schemes that promote summer hail events in the Northern Italy

Enrico Arnone, Giannetta Fusco, Giorgio Budillon, Sante Laviola et al.
Atmospheric Research
Meteorological Phenomena and Simulations
article

Identification of atmospheric circulation schemes that promote summer hail events in the Northern Italy

Enrico Arnone, Giannetta Fusco, Giorgio Budillon, Sante Laviola, Giulio Monte, Vincenzo Capozzi, Alberto Fucci, Nicola Cortesi
article en

Abstract

In Europe, hailstorms are a major source of weather-related damages, and Northern Italy represents one of the areas at the greatest risk. Although several works have analysed severe hailstorms in the Mediterranean area, they are largely case-based and do not provide a systematic classification of the synoptic circulation regimes that favour them. In this study, we analysed summer hail events in Northern Italy over the period 2014–2023 using the satellite-based Microwave Cloud Classification dataset, which provides detection of hail ≥2 cm. A total of 122 events were identified and classified through Principal Component Analysis and k-means clustering, leading to three distinct spatial patterns. ERA5 reanalysis was used to characterize the associated large-scale circulation. Common features across all clusters include south-westerly flow in the mid-troposphere, upper-level divergence at 250 hPa, and enhanced mid-tropospheric moisture transport. Spatial pattern 1 is mainly linked to hail in north-eastern Italy, spatial pattern 2 to the western Po Plain and northern Tyrrhenian areas, and spatial pattern 3 to north-western Italy and the Alps. The pattern 3 is particularly distinct, showing stronger geopotential and temperature anomalies, with moisture transport between 600 and 800 hPa exceeding the 90th percentile of the decade. Comparing the sub-periods 2014–2018 and 2019–2023, we found both an increase in hail frequency and a larger contribution of Cluster 3. These results highlight the role of synoptic-scale variability in shaping hail risk in Northern Italy and suggest a shift toward circulation types more favourable for Alpine hail over the past years. The methodology and findings provide a framework for future analyses linking hail occurrence to large-scale climate variability and projections. • Three main spatial patterns of summer hail identified in Northern Italy. • Each pattern linked to distinct synoptic circulation and moisture supply. • Warm and moist air from the Adriatic supports convection in two patterns. • Pattern 3 shows stronger anomalies and deep mid-tropospheric moisture. • Hail frequency and Alpine-related pattern contribution increased recently.

Atmospheric ResearchVol. 338
Parthenope University of Naples (IT), Institute of Atmospheric Sciences and Climate (IT), University of Turin (IT)
Climate action
Openalex Percentile: Top 8%
Meteorological Phenomena and Simulations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.