Preprints
https://doi.org/10.5194/nhess-2024-97
https://doi.org/10.5194/nhess-2024-97
10 Jun 2024
 | 10 Jun 2024
Status: a revised version of this preprint was accepted for the journal NHESS and is expected to appear here in due course.

It could have been much worse: spatial counterfactuals of the July 2021 flood in the Ahr valley, Germany

Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz

Abstract. After a flood disaster, the question often arises: “What could have happened if the event had gone differently?” For example, what would be the effects of a flood if the path of a pressure system and the precipitation field had taken a different trajectory? In this paper, we use alternative scenarios of precipitation footprints shifted in space, the so-called “spatial counterfactuals” to generate plausible but unprecedented events. We explore the spatial counterfactuals of the deadly July 2021 flood in the Ahr Valley, Germany. We drive a hydrological model of the Ahr catchment with precipitation fields of this event systematically shifted in space. The resulting discharge is used as a boundary condition for a high-resolution two-dimensional hydrodynamic model. We simulate changes in peak flows, hydrograph volumes, maximum inundation extent and depths and affected assets and compare them to the simulations of the actual event. We show that even a slight shift of the precipitation field by 15–25 km eastwards, which does not seem implausible due to orographic conditions, causes an increase in peak flows at the gauge Altenahr of about 32 % and of up to 160 % at the individual tributaries. Also, significantly larger flood volumes of more than 25 % can be expected due to this precipitation shift. This results in significantly larger inundation extents and maximum depths at a number of analyzed focus areas. For example, in the focus area around Altenahr, the increase of mean and maximum depth of up to 1.25 m and 1.75 m, respectively, is simulated. The presented results should encourage flood risk managers as well as the general public to meet precautionary measures for extreme and unprecedented events.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2024-97', Anonymous Referee #1, 22 Jul 2024
    • AC1: 'Reply on RC1', Sergiy Vorogushyn, 31 Oct 2024
  • RC2: 'Comment on nhess-2024-97', Michael Nones, 19 Sep 2024
    • AC2: 'Reply on RC2', Sergiy Vorogushyn, 31 Oct 2024

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on nhess-2024-97', Anonymous Referee #1, 22 Jul 2024
    • AC1: 'Reply on RC1', Sergiy Vorogushyn, 31 Oct 2024
  • RC2: 'Comment on nhess-2024-97', Michael Nones, 19 Sep 2024
    • AC2: 'Reply on RC2', Sergiy Vorogushyn, 31 Oct 2024
Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz

Data sets

Spatial counterfactuals for the July 2021 flood Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz https://dataservices.gfz-potsdam.de/portal/index.html

Model code and software

mHM hydrological model Luis Samaniego https://doi.org/10.5281/zenodo.8279545

Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz

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Latest update: 24 Mar 2025
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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.
Short summary
The July 2021 flood in Central Europe was one of the deadliest floods in Europe in the past 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 was only slightly different. The presented methodology of spatial counterfactuals generates plausible unprecedented events and helps better prepare for future extreme floods.
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