Articles | Volume 23, issue 4
https://doi.org/10.5194/nhess-23-1287-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-1287-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Florian Ehmele
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Mário J. Franca
Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Susanna Mohr
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Alberto Caldas-Alvarez
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
James E. Daniell
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Uwe Ehret
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Hendrik Feldmann
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Marie Hundhausen
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Peter Knippertz
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Katharina Küpfer
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Michael Kunz
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Bernhard Mühr
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Joaquim G. Pinto
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Julian Quinting
Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Andreas M. Schäfer
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Geophysical Institute, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Frank Seidel
Institute for Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Christina Wisotzky
Center for Disaster Management and Risk Reduction Technology (CEDIM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
Institute of Economics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
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14 citations as recorded by crossref.
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- Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information L. MacPherson et al. 10.5194/nhess-23-3685-2023
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- Quantitative rainfall analysis of the 2021 mid-July flood event in Belgium M. Journée et al. 10.5194/hess-27-3169-2023
- Impacts of social contracts for citizens in the austrian flood risk management system K. Weber et al. 10.1016/j.ijdrr.2024.104266
- Post-Flood Resilience Assessment of July 2021 Flood in Western Germany and Henan, China B. Manandhar et al. 10.3390/land12030625
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12 citations as recorded by crossref.
- Extreme windstorms in the Northeastern USA in the contemporary and future climate X. Zhou et al. 10.1007/s00382-023-07012-1
- Climate change signals of extreme precipitation return levels for Germany in a transient convection‐permitting simulation ensemble M. Hundhausen et al. 10.1002/joc.8393
- Mitigating infectious disease risks through non-stationary flood frequency analysis: a case study in Malaysia based on natural disaster reduction strategy N. Mat Jan et al. 10.4081/gh.2023.1236
- On the application of machine learning into flood modeling: data consideration and modeling algorithm A. Pourzangbar et al. 10.2139/ssrn.4602934
- Dominant flood types in mountains catchments: Identification and change analysis for the landscape planning A. Sikorska-Senoner et al. 10.1016/j.jenvman.2023.119905
- Bayesian extreme value analysis of extreme sea levels along the German Baltic coast using historical information L. MacPherson et al. 10.5194/nhess-23-3685-2023
- Fragility Analysis Based on Damaged Bridges during the 2021 Flood in Germany A. Pucci et al. 10.3390/app131810454
- A 131-year evidence of more extreme and higher total amount of hourly precipitation in Hong Kong Y. Lai et al. 10.1088/1748-9326/ad21b1
- Climate storylines as a way of bridging the gap between information and decision-making in hydrological risk D. Caviedes-Voullième et al. 10.1371/journal.pclm.0000270
- Micro-Catchments, Macro Effects: Natural Water Retention Measures in the Kylldal Catchment, Germany S. Nauta et al. 10.3390/w16050733
- Quantitative rainfall analysis of the 2021 mid-July flood event in Belgium M. Journée et al. 10.5194/hess-27-3169-2023
- Impacts of social contracts for citizens in the austrian flood risk management system K. Weber et al. 10.1016/j.ijdrr.2024.104266
2 citations as recorded by crossref.
Latest update: 28 Mar 2024
Executive editor
I agree with the handling editor and suggest considering it as a highlight paper.
Short summary
Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring...
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