Articles | Volume 24, issue 11
https://doi.org/10.5194/nhess-24-3869-2024
https://doi.org/10.5194/nhess-24-3869-2024
Research article
 | 
12 Nov 2024
Research article |  | 12 Nov 2024

Reconstructing hail days in Switzerland with statistical models (1959–2022)

Lena Wilhelm, Cornelia Schwierz, Katharina Schröer, Mateusz Taszarek, and Olivia Martius

Data sets

ERA5 hourly data on single levels from 1940 to present Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.adbb2d47

ERA5 hourly data on pressure levels from 1940 to present Copernicus Climate Change Service, Climate Data Store https://doi.org/10.24381/cds.bd0915c6

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Short summary
In our study we used statistical models to reconstruct past hail days in Switzerland from 1959–2022. This new time series reveals a significant increase in hail day occurrences over the last 7 decades. We link this trend to increases in moisture and instability variables in the models. This time series can now be used to unravel the complexities of Swiss hail occurrence and to understand what drives its year-to-year variability.
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