Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-677-2022
© Author(s) 2022. 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-22-677-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Adaptation and application of the large LAERTES-EU regional climate model ensemble for modeling hydrological extremes: a pilot study for the Rhine basin
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Lisa-Ann Kautz
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Hendrik Feldmann
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia (UEA), Norwich, United Kingdom
Martin Kadlec
Impact Forecasting, Aon, Prague, Czech Republic
Fanni D. Kelemen
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
now at: Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
Hilke S. Lentink
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Patrick Ludwig
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Desmond Manful
Tyndall Centre for Climate Change Research, School of Environmental Sciences, University of East Anglia (UEA), Norwich, United Kingdom
Joaquim G. Pinto
Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology (KIT), Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
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Cited
8 citations as recorded by crossref.
- Future heat extremes and impacts in a convection-permitting climate ensemble over Germany M. Hundhausen et al. 10.5194/nhess-23-2873-2023
- Recurrence of Drought Events Over Iberia. Part II: Future Changes Using Regional Climate Projections J. Moemken et al. 10.16993/tellusa.52
- Low-Flow Similarities between the Transboundary Lauter River and Rhine River at Maxau from 1956 to 2022 (France/Germany) X. Liu & C. de Jong 10.3390/w16111584
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change P. Ludwig et al. 10.5194/nhess-23-1287-2023
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis S. Mohr et al. 10.5194/nhess-23-525-2023
- Assessing the impact of the 2021 flood event on the archaeological heritage of the Rhineland (Germany) I. Schmidt et al. 10.1186/s12302-024-00991-w
- Accessing Insurance Flood Losses Using a Catastrophe Model and Climate Change Scenarios L. Palán et al. 10.3390/cli10050067
- The ability of a stochastic regional weather generator to reproduce heavy-precipitation events across scales X. Guan et al. 10.5194/nhess-25-3075-2025
8 citations as recorded by crossref.
- Future heat extremes and impacts in a convection-permitting climate ensemble over Germany M. Hundhausen et al. 10.5194/nhess-23-2873-2023
- Recurrence of Drought Events Over Iberia. Part II: Future Changes Using Regional Climate Projections J. Moemken et al. 10.16993/tellusa.52
- Low-Flow Similarities between the Transboundary Lauter River and Rhine River at Maxau from 1956 to 2022 (France/Germany) X. Liu & C. de Jong 10.3390/w16111584
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 2: Historical context and relation to climate change P. Ludwig et al. 10.5194/nhess-23-1287-2023
- A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis S. Mohr et al. 10.5194/nhess-23-525-2023
- Assessing the impact of the 2021 flood event on the archaeological heritage of the Rhineland (Germany) I. Schmidt et al. 10.1186/s12302-024-00991-w
- Accessing Insurance Flood Losses Using a Catastrophe Model and Climate Change Scenarios L. Palán et al. 10.3390/cli10050067
- The ability of a stochastic regional weather generator to reproduce heavy-precipitation events across scales X. Guan et al. 10.5194/nhess-25-3075-2025
Latest update: 07 Sep 2025
Short summary
For various applications, it is crucial to have profound knowledge of the frequency, severity, and risk of extreme flood events. Such events are characterized by very long return periods which observations can not cover. We use a large ensemble of regional climate model simulations as input for a hydrological model. Precipitation data were post-processed to reduce systematic errors. The representation of precipitation and discharge is improved, and estimates of long return periods become robust.
For various applications, it is crucial to have profound knowledge of the frequency, severity,...
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