Articles | Volume 22, issue 8
Research article
26 Aug 2022
Research article |  | 26 Aug 2022

A new index to quantify the extremeness of precipitation across scales

Paul Voit and Maik Heistermann

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Cited articles

Bronstert, A., Agarwal, A., Boessenkool, B., Crisologo, I., Fischer, M., Heistermann, M., Köhn-Reich, L., López-Tarazón, J. A., Moran, T., and Ozturk, U.: Forensic hydro-meteorological analysis of an extreme flash flood: The 2016-05-29 event in Braunsbach, SW Germany, Sci. Total Environ., 630, 977–991,, 2018. a
Burn, D. H.: Evaluation of regional flood frequency analysis with a region of influence approach, Water Resour. Res., 26, 2257–2265,, 1990. a, b
Chwala, C.: radolan_to_netcdf, GitHub [code], (last access: 18 August 2022), 2021. a
Christensen, J. and Christensen, O.: Climate modelling: severe summertime flooding in Europe, Nature, 421, 805–806,, 2003. a
Fauer, F. S., Ulrich, J., Jurado, O. E., and Rust, H. W.: Flexible and consistent quantile estimation for intensity–duration–frequency curves, Hydrol. Earth Syst. Sci., 25, 6479–6494,, 2021. a, b, c
Short summary
To better understand how the frequency and intensity of heavy precipitation events (HPEs) will change with changing climate and to adapt disaster risk management accordingly, we have to quantify the extremeness of HPEs in a reliable way. We introduce the xWEI (cross-scale WEI) and show that this index can reveal important characteristics of HPEs that would otherwise remain hidden. We conclude that the xWEI could be a valuable instrument in both disaster risk management and research.
Final-revised paper