Articles | Volume 25, issue 6
https://doi.org/10.5194/nhess-25-2007-2025
© Author(s) 2025. 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-25-2007-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr Valley, Germany
Sergiy Vorogushyn
CORRESPONDING AUTHOR
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Heiko Apel
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Viet Dung Nguyen
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Björn Guse
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Department Hydrology and Water Resources Management, Kiel University, 24098 Kiel, Germany
Xiaoxiang Guan
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Oldrich Rakovec
Department Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, 04318 Leipzig, Germany
Faculty of Environmental Sciences, Czech University of Life Sciences, 16500 Prague, Czech Republic
Husain Najafi
Department Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, 04318 Leipzig, Germany
Luis Samaniego
Department Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, 04318 Leipzig, Germany
Institute for Environmental Sciences and Geography, University of Potsdam, 14476 Potsdam, Germany
Bruno Merz
Section Hydrology, GFZ Helmholtz Centre for Geosciences, 14473 Potsdam, Germany
Institute for Environmental Sciences and Geography, University of Potsdam, 14476 Potsdam, Germany
Data sets
Data sets of spatial counterfactuals Sergiy Vorogushyn et al. https://doi.org/10.5880/GFZ.RDOQ.2025.002
Model code and software
mHM hydrological model Luis Samaniego et al. https://doi.org/10.5281/zenodo.8279545
Executive editor
The Ahr valley flood of 2021 has been one of the most severe flooding events in Germany, with the highest death toll since the coastal storm surge event of 1962, and severe destruction across the valley associated also with extreme financial loss. Deficits in the warning procedures were re-visited after this event, and major improvements like cell broadcast warnings were introduced. The question remains open if the event could have been even more devastating under (almost) the same weather situation. The spatial shift of the rainfall fields the authors conduct is a simple but very reasonable approach as input for estimating counterfactual flooding scenarios with their numerical models. In the paper they demonstrate that the flood could have been much worse in terms of the flood peaks, inundation areas and maximum depths as well as exposed assets, given a shift of the rainfall fields of only about 20 km.
The Ahr valley flood of 2021 has been one of the most severe flooding events in Germany, with...
Short summary
The July 2021 flood in central Europe was one of the deadliest floods in Europe in the recent decades and the most expensive flood in Germany. In this paper, we show that the hydrological impact of this event in the Ahr valley could have been even worse if the rainfall footprint trajectory had been only slightly different. The presented methodology of spatial counterfactuals generates plausible unprecedented events and helps to better prepare for future extreme floods.
The July 2021 flood in central Europe was one of the deadliest floods in Europe in the recent...
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