Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 12
Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5623-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5623-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 12
Model description paper
 | 
29 Jun 2026
Model description paper |  | 29 Jun 2026

CaMa-Flood-GPU: a GPU-based hydrodynamic model implementation for scalable global simulations

Shengyu Kang, Jiabo Yin, and Dai Yamazaki

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Short summary
Global floods pose serious risks, but existing models are too slow for large-scale prediction. We redesigned the Catchment-based Macro-scale Floodplain (CaMa-Flood) model for graphics processing units (GPUs), reformulating irregular river networks, flux updates, and floodplain dynamics into highly parallel algorithms. CaMa-Flood-GPU runs global simulations in hours instead of days with the same accuracy, enabling larger ensembles, better flood-risk analysis, and improved preparedness worldwide.
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