Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-7399-2025
https://doi.org/10.5194/gmd-18-7399-2025
Model description paper
 | 
17 Oct 2025
Model description paper |  | 17 Oct 2025

SERGHEI v2.1: a Lagrangian model for passive particle transport using a two-dimensional shallow water model (SERGHEI-LPT)

Pablo Vallés, Mario Morales-Hernández, Volker Roeber, Pilar García-Navarro, and Daniel Caviedes-Voullième

Related authors

Culvert Blockages in 2D-Hydrodynamic Flood Modeling: Quantifying the Impact on Flood Dynamics and Designing Mitigation Strategies
Leon Frederik De Vos, Karan Mahajan, Daniel Caviedes-Voullième, and Nils Rüther
EGUsphere, https://doi.org/10.5194/egusphere-2025-5228,https://doi.org/10.5194/egusphere-2025-5228, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
The new TSMP2 coupled Earth system model
Stefan Poll, Paul Rigor, Slavko Brdar, Ha Thi Minh Ho-Hagemann, Carl Hartick, Marco van Hulten, Ana Gonzalez-Nicolas, Johannes Keller, Daniel Caviedes-Voullieme, Harrie-Jan Hendricks-Franssen, Klaus Goergen, and Stefan Kollet
EGUsphere, https://doi.org/10.5194/egusphere-2025-5468,https://doi.org/10.5194/egusphere-2025-5468, 2025
This preprint is open for discussion and under review for Natural Hazards and Earth System Sciences (NHESS).
Short summary
High-performance coupled surface-subsurface flow simulation with SERGHEI-SWE-RE
Na Zheng, Zhi Li, Gregor Rickert, Mario Morales-Hernández, Ilhan Özgen-Xian, and Daniel Caviedes-Voullième
EGUsphere, https://doi.org/10.5194/egusphere-2025-4246,https://doi.org/10.5194/egusphere-2025-4246, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
SERGHEI v2.0: introducing a performance-portable, high-performance, three-dimensional variably saturated subsurface flow solver (SERGHEI-RE)
Zhi Li, Gregor Rickert, Na Zheng, Zhibo Zhang, Ilhan Özgen-Xian, and Daniel Caviedes-Voullième
Geosci. Model Dev., 18, 547–562, https://doi.org/10.5194/gmd-18-547-2025,https://doi.org/10.5194/gmd-18-547-2025, 2025
Short summary
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024,https://doi.org/10.5194/nhess-24-2857-2024, 2024
Short summary

Cited articles

Arcement, G. and Schneider, V.: Guide for Selecting Manning's Roughness Coefficients for Natural Channels and Flood Plains, no. 2339 in U.S. Geological Survey, Water-supply paper, https://pubs.usgs.gov/publication/wsp2339 (last access: 9 October 2025), 1984. a
Baharvand, S., Ahmari, H., and Taghvaei, P.: Developing a Lagrangian sediment transport model for open channel flows, International Journal of Sediment Research, 38, 153–165, https://doi.org/10.1016/j.ijsrc.2022.09.003, 2023. a, b
Bates, P. D., Savage, J., Wing, O., Quinn, N., Sampson, C., Neal, J., and Smith, A.: A climate-conditioned catastrophe risk model for UK flooding, Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, 2023. a
Bayón, A., Valero, D., and Franca, M. J.: Urban flood drifters (UFD): Identification, classification and characterisation, Journal of Flood Risk Management, e13002, https://doi.org/10.1111/jfr3.13002, 2024. a, b
Bennett, J. R. and Clites, A. H.: Accuracy of trajectory calculation in a finite-difference circulation model, Journal of Computational Physics, 68, 272–282, https://doi.org/10.1016/0021-9991(87)90058-1, 1987. a, b
Download
Short summary
This study presents a computational model for passive particle transport in water. The particles' trajectories depend on advection and turbulence, represented by a random-walk model. Three numerical methods are compared to estimate their trajectory, evaluating accuracy and computational cost. Tests show that the Euler method offers the best balance. Finally, a rainfall event in a catchment is simulated to validate the model's performance over irregular terrain.
Share