Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1029/2021WR030506
Licence creative commons licence
Title (Primary) Understanding heavy tails of flood peak distributions
Author Merz, B.; Basso, S.; Fischer, S.; Lun, D.; Blöschl, G.; Merz, R.; Guse, B.; Viglione, A.; Vorogushyn, S.; Macdonald, E.; Wietzke, L.; Schumann, A.
Journal Water Resources Research
Year 2022
Department CATHYD
Volume 58
Issue 6
Page From e2021WR030506
Language englisch
Topic T5 Future Landscapes
Keywords extreme events; flood frequency; flood risk; upper tail
Abstract Statistical distributions of flood peak discharge often show heavy tail behavior, that is, extreme floods are more likely to occur than would be predicted by commonly used distributions that have exponential asymptotic behavior. This heavy tail behavior may surprise flood managers and citizens, as human intuition tends to expect light tail behavior, and the heaviness of the tails is very difficult to predict, which may lead to unnecessarily high flood damage. Despite its high importance, the literature on the heavy tail behavior of flood distributions is rather fragmented. In this review, we provide a coherent overview of the processes causing heavy flood tails and the implications for science and practice. Specifically, we propose nine hypotheses on the mechanisms causing heavy tails in flood peak distributions related to processes in the atmosphere, the catchment, and the river system. We then discuss to which extent the current knowledge supports or contradicts these hypotheses. We also discuss the statistical conditions for the emergence of heavy tail behavior based on derived distribution theory and relate them to the hypotheses and flood generation mechanisms. We review the degree to which the heaviness of the tails can be predicted from process knowledge and data. Finally, we recommend further research toward testing the hypotheses and improving the prediction of heavy tails.
Persistent UFZ Identifier
Merz, B., Basso, S., Fischer, S., Lun, D., Blöschl, G., Merz, R., Guse, B., Viglione, A., Vorogushyn, S., Macdonald, E., Wietzke, L., Schumann, A. (2022):
Understanding heavy tails of flood peak distributions
Water Resour. Res. 58 (6), e2021WR030506