Articles | Volume 16, issue 11
https://doi.org/10.5194/gmd-16-3291-2023
https://doi.org/10.5194/gmd-16-3291-2023
Development and technical paper
 | 
13 Jun 2023
Development and technical paper |  | 13 Jun 2023

An improved subgrid channel model with upwind-form artificial diffusion for river hydrodynamics and floodplain inundation simulation

Youtong Rong, Paul Bates, and Jeffrey Neal

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Cited articles

Al Baky, M. A., Islam, M., and Paul, S.: Flood hazard, vulnerability and risk assessment for different land use classes using a flow model, Earth Syst. Environ., 4, 225–244, 2020. 
Alsdorf, D., Bates, P., Melack, J., Wilson, M., and Dunne, T.: Spatial and temporal complexity of the Amazon flood measured from space, Geophys. Res. Lett., 34, L08402, https://doi.org/10.1029/2007GL029447, 2007. 
Ayog, J. L., Kesserwani, G., Shaw, J., Sharifian, M. K., and Bau, D.: Second-order discontinuous Galerkin flood model: comparison with industry-standard finite volume models, J. Hydrol., 594, 125924, https://doi.org/10.1016/j.jhydrol.2020.125924, 2021. 
Bates, P. D., Horritt, M. S., and Fewtrell, T. J.: A simple inertial formulation of the shallow water equations for efficient two-dimensional flood inundation modelling, J. Hydrol., 387, 33–45, https://doi.org/10.1016/j.jhydrol.2010.03.027, 2010. 
Cook, A. and Merwade, V.: Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping, J. Hydrol., 377, 131–142, https://doi.org/10.1016/j.jhydrol.2009.08.015, 2009. 
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Short summary
A novel subgrid channel (SGC) model is developed for river–floodplain modelling, allowing utilization of subgrid-scale bathymetric information while performing computations on relatively coarse grids. By including adaptive artificial diffusion, potential numerical instability, which the original SGC solver had, in low-friction regions such as urban areas is addressed. Evaluation of the new SGC model through structured tests confirmed that the accuracy and stability have improved.
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