Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1895-2019
https://doi.org/10.5194/nhess-19-1895-2019
Research article
 | 
29 Aug 2019
Research article |  | 29 Aug 2019

Decreasing uncertainty in flood frequency analyses by including historic flood events in an efficient bootstrap approach

Anouk Bomers, Ralph M. J. Schielen, and Suzanne J. M. H. Hulscher

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Latest update: 14 Dec 2024
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Short summary
Flood frequency curves are usually highly uncertain since they are based on short data sets of measured discharges or weather conditions. To decrease the confidence intervals, an efficient bootstrap method is developed. With this method, the data set of measured discharges of the Rhine river is extended by approximately 600 years. The study shows that historic flood events decrease the confidence interval of the flood frequency curve significantly, specifically in the range of large floods.
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