Answering these questions proves challenging for several reasons. Homogeneous, long-term direct observations of hail are scarce, primarily because hail footprints usually span a limited area, often just a few square kilometers. Monitoring such localized events effectively would require a dense network of instruments. Currently, such networks, which utilize simple hailpads to measure hailstone sizes, exist only in limited regions, such as parts of France, northern Spain and northern Italy.Additionally, even state-of-the-art and highly resolved numerical weather prediction and climate models struggle to reliably predict hail due to the intricacies of the microphysics involved and the fact that hail is not a standard output parameter in these models. As an alternative, researchers have developed methods that relate hail occurrence to proxies, using remotely sensed observations from radar, satellite and lightning sensors. However, these indirect observations are not available for a sufficiently long-term period, a prerequisite for reliable trend estimations.
Regardless, climate change is anticipated to alter the environments in which hailstorms typically develop, particularly low-level moisture, vertical wind shear and melting level height, albeit with significant geographical variability. These changes, which impact both convection organization and maximum hailstone sizes, can be reliably estimated from reanalysis data for the past and regional climate models for the future. Trends in environmental proxies computed from soundings or reanalysis in past decades exhibit moderate to strong trends toward a higher potential for convection across large parts of Europe..The largest increase in atmospheric instability and hail-related parameters is observed for northern Italy, aligning with the record hailstones discovered in that region.
Similar trends, however, cannot be deduced from high-density hailpad networks installed in parts of France or northeastern Italy. Analyses of long-term series reveal minimal (often insignificant) or even negative trends in hail frequency. Positive trends are only evident for large hail or derived quantities, such as upper percentiles of hail kinetic energy, which can be interpreted as a general increase in hail severity.
Hail streaks identified from radar reflectivity for parts of central Europe exhibit a substantial annual variability but no trends over the past 10 to 15 years. Only a few studies have
uantified potential changes in the hailstorm environment for future decades. The general consensus is that conditions favoring hailstorms are expected to (slightly) increase for large parts of Europe. However, the extent of these trends varies considerably based on the time frame considered and the specific future Intergovernmental Panel on Climate Change scenario used.
Additionally, it is important to note that these trends are often not statistically significant, obscured by the considerable annual and multi-annual variability in environmental conditions that influence hailstorm formation.
Concluding remarks
What do these findings suggest for the record breaking Italian hailstones? Naturally, we acknowledge that attributing a single extreme event to climate change requires a detailed understanding that includes extensive model simulations, as exemplified by such projects as the World Weather Attribution Project. Nevertheless, the record-breaking hailstones in northern Italy align, at least to some extent, with what can be anticipated in convective environments within the context of climate change.
However, addressing the frequently asked question about the relationship between hailstorm frequency/ intensity and climate change necessitates additional knowledge to better comprehend the link between large-scale natural climate variability and the local scale convection that drives hailstorms. This includes a more complete understanding of the drivers behind these connections, such as teleconnection patterns (such as the El Niño-Southern Oscillation), which significantly influence global weather patterns, including those related to hailstorms.
Further research, involving detailed model simulations of supercells and hail growth mechanisms, coupled with more dedicated field experiments, holds the potential to enhance our understanding and prediction of such hazards in the future. Additionally, it may shed light on whether giant hail is likely to occur more frequently in a changing climate.