Articles | Volume 24, issue 3
https://doi.org/10.5194/nhess-24-847-2024
https://doi.org/10.5194/nhess-24-847-2024
Research article
 | 
11 Mar 2024
Research article |  | 11 Mar 2024

An open-source radar-based hail damage model for buildings and cars

Timo Schmid, Raphael Portmann, Leonie Villiger, Katharina Schröer, and David N. Bresch

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Cited articles

Ackermann, L., Soderholm, J., Protat, A., Whitley, R., Ye, L., and Ridder, N.: Radar and environment-based hail damage estimates using machine learning, Atmos. Meas. Tech., 17, 407–422, https://doi.org/10.5194/amt-17-407-2024, 2024. a
Allen, J. T., Giammanco, I. M., Kumjian, M. R., Jurgen Punge, H., Zhang, Q., Groenemeijer, P., Kunz, M., and Ortega, K.: Understanding Hail in the Earth System, Rev. Geophys., 58, e2019RG000665, https://doi.org/10.1029/2019RG000665, 2020. a
Amburn, S. A. and Wolf, P. L.: VIL Density as a Hail Indicator, Weather Forecast., 12, 473–478, https://doi.org/10.1175/1520-0434(1997)012<0473:VDAAHI>2.0.CO;2, 1997. a
Atlas, D., Harper, W. G., Ludlam, F. H., and MacKlin, W. C.: Radar scatter by large hail, Q. J. Roy. Meteor. Soc., 86, 468–482, https://doi.org/10.1002/qj.49708637004, 1960. a
Auer, A. H.: Hail Recognition through the Combined Use of Radar Reflectivity and Cloud-Top Temperatures, Mon. Weather Rev., 122, 2218–2221, https://doi.org/10.1175/1520-0493(1994)122<2218:HRTTCU>2.0.CO;2, 1994. a
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Short summary
Hailstorms cause severe damage to buildings and cars, which motivates a detailed risk assessment. Here, we present a new open-source hail damage model based on radar data in Switzerland. The model successfully estimates the correct order of magnitude of car and building damages for most large hail events over 20 years. However, large uncertainty remains in the geographical distribution of modelled damages, which can be improved for individual events by using crowdsourced hail reports.
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