Rapid high-resolution impact-based flood early warning is possible with RIM2D: a showcase for the 2023 pluvial  flood in Braunschweig

Khosh Bin Ghomash, Shahin; Apel, Heiko; Schröter, Kai; Steinhausen, Max

doi:https://doi.org/10.5194/nhess-25-1737-2025

Articles | Volume 25, issue 5

https://doi.org/10.5194/nhess-25-1737-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/nhess-25-1737-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 25, issue 5

Research article

|

14 May 2025

Research article |

| 14 May 2025

Rapid high-resolution impact-based flood early warning is possible with RIM2D: a showcase for the 2023 pluvial flood in Braunschweig

Shahin Khosh Bin Ghomash, Heiko Apel, Kai Schröter, and Max Steinhausen

Data sets

Download OpenStreetMap data for this region: Germany Geofabrik Downloads https://download.geofabrik.de/europe/germany.html

Germany 2020 – Land cover based on Sentinel-2 data mundialis https://www.mundialis.de/en/germany-2020-land-cover-based-on-sentinel-2-data/

Short summary

This work introduces RIM2D (Rapid Inundation Model 2D), a hydrodynamic model for precise and rapid flood predictions that is ideal for early warning systems. We demonstrate RIM2D's ability to deliver detailed and localized flood forecasts using the June 2023 flood in Braunschweig, Germany, as a case study. This research highlights the readiness of RIM2D and the required hardware for integration into operational flood warning and impact-based forecasting systems.