Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1835-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-1835-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Apr 2026
Research article |
| 24 Apr 2026
| 24 Apr 2026
Leveraging reforecasts for flood estimation with long continuous simulation: a proof-of-concept study
Daniel Viviroli
CORRESPONDING AUTHOR
Department of Geography, University of Zurich, Zurich, Switzerland
Martin Jury
Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
Maria Staudinger
Department of Geography, University of Zurich, Zurich, Switzerland
Martina Kauzlaric
Institute of Geography, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Heimo Truhetz
Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
Douglas Maraun
Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
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Short summary
Estimating the frequency and magnitude of floods is challenging due to the limited length of streamflow records. Here, we explore whether an extensive archive of meteorological forecasts run over past dates can assist in this context. After processing and concatenating these data for use as input to a hydrological model, we derive flood statistics from simulated streamflow. Results are promising for the larger catchments studied, providing a valuable complementary perspective on rare floods.
Estimating the frequency and magnitude of floods is challenging due to the limited length of...
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