Articles | Volume 25, issue 3
https://doi.org/10.5194/nhess-25-975-2025
© 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-25-975-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Mar 2025
Research article |
| 04 Mar 2025
| 04 Mar 2025
Monte Carlo-based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in western Germany
Shahin Khosh Bin Ghomash
CORRESPONDING AUTHOR
Hydrology Section, GFZ German Research Centre for Geoscience, 14473 Potsdam, Germany
Patricio Yeste
Institute of Environmental Science and Geography, University of Potsdam, Karl-Liebknecht-Straße 24–25, 14476 Potsdam, Germany
Heiko Apel
Hydrology Section, GFZ German Research Centre for Geoscience, 14473 Potsdam, Germany
Viet Dung Nguyen
Hydrology Section, GFZ German Research Centre for Geoscience, 14473 Potsdam, Germany
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Short summary
Hydrodynamic models are vital for predicting floods, like those in Germany's Ahr region in July 2021. We refine the RIM2D model for the Ahr region, analyzing the impact of various factors using Monte Carlo simulations. Accurate parameter assignment is crucial, with channel roughness and resolution playing key roles. Coarser resolutions are suitable for flood extent predictions, aiding early-warning systems. Our work provides guidelines for optimizing hydrodynamic models in the Ahr region.
Hydrodynamic models are vital for predicting floods, like those in Germany's Ahr region in July...
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