Large Hail Incidence and Its Economic and Societal Impacts across Europe

Author:

Púčik Tomáš1,Castellano Christopher1,Groenemeijer Pieter1,Kühne Thilo1,Rädler Anja T.2,Antonescu Bogdan3,Faust Eberhard4

Affiliation:

1. European Severe Storms Laboratory, Wessling, Germany

2. Georisk Department, Munich RE, Munich, and European Severe Storms Laboratory, Wessling, Germany

3. National Institute of Research and Development for Optoelectronics INOE2000, Măgurele, Romania, and European Severe Storms Laboratory, Wessling, Germany

4. Georisk Department, Munich RE, Munich, Germany

Abstract

Abstract By 31 December 2018, 39 537 quality-controlled reports of large hail had been submitted to the European Severe Weather Database (ESWD) by volunteers and ESSL. This dataset and the NatCatSERVICE Database of Munich RE jointly allowed us to study the hail hazard and its impacts across Europe over a period spanning multiple decades. We present a spatiotemporal climatology of the ESWD reports, diurnal and annual cycles of large hail, and indicate where and how they may be affected by reporting biases across Europe. We also discuss which hailstorms caused the most injuries and present the only case with hail fatalities in recent times. Additionally, we address our findings on the relation between hail size to the type of impacts that were reported. For instance, the probability of reported hail damage to roofs, windows, and vehicles strongly increases as hail size exceeds 5 cm, while damage to crops, trees, and greenhouses is typically reported with hailstone diameters of 2–3 cm. Injuries to humans are usually reported with hail 4 cm in diameter and larger, and number of injuries increases with increasing hail size. Using the NatCatSERVICE data, we studied economic losses associated with hailstorms occurring in central Europe and looked for long-term changes. The trend in hail losses and the annual number of hail loss days since 1990 to 2018 are compared to that of meteorological conditions favorable for large hail as identified by ESSL’s Additive Regression Convective Hazards model. Both hail loss days and favorable environments show an upward trend, in particular since 2000.

Funder

Bundesministerium für Bildung und Forschung

Romanian STAR program

Publisher

American Meteorological Society

Subject

Atmospheric Science

Reference72 articles.

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