Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-117-2017
https://doi.org/10.5194/hess-21-117-2017
Research article
 | 
09 Jan 2017
Research article |  | 09 Jan 2017

Assessing the impact of hydrodynamics on large-scale flood wave propagation – a case study for the Amazon Basin

Jannis M. Hoch, Arjen V. Haag, Arthur van Dam, Hessel C. Winsemius, Ludovicus P. H. van Beek, and Marc F. P. Bierkens

Related authors

On the importance of observation uncertainty when evaluating and comparing models: a hydrological example
Jerom P.M. Aerts, Jannis M. Hoch, Gemma Coxon, Nick C. van de Giesen, and Rolf W. Hut
EGUsphere, https://doi.org/10.5194/egusphere-2023-1156,https://doi.org/10.5194/egusphere-2023-1156, 2023
Short summary
Hyper-resolution PCR-GLOBWB: opportunities and challenges from refining model spatial resolution to 1 km over the European continent
Jannis M. Hoch, Edwin H. Sutanudjaja, Niko Wanders, Rens L. P. H. van Beek, and Marc F. P. Bierkens
Hydrol. Earth Syst. Sci., 27, 1383–1401, https://doi.org/10.5194/hess-27-1383-2023,https://doi.org/10.5194/hess-27-1383-2023, 2023
Short summary
Evaluating the impact of model complexity on flood wave propagation and inundation extent with a hydrologic–hydrodynamic model coupling framework
Jannis M. Hoch, Dirk Eilander, Hiroaki Ikeuchi, Fedor Baart, and Hessel C. Winsemius
Nat. Hazards Earth Syst. Sci., 19, 1723–1735, https://doi.org/10.5194/nhess-19-1723-2019,https://doi.org/10.5194/nhess-19-1723-2019, 2019
Short summary
Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin
Jamie Towner, Hannah L. Cloke, Ervin Zsoter, Zachary Flamig, Jannis M. Hoch, Juan Bazo, Erin Coughlan de Perez, and Elisabeth M. Stephens
Hydrol. Earth Syst. Sci., 23, 3057–3080, https://doi.org/10.5194/hess-23-3057-2019,https://doi.org/10.5194/hess-23-3057-2019, 2019
Short summary
PCR-GLOBWB 2: a 5 arcmin global hydrological and water resources model
Edwin H. Sutanudjaja, Rens van Beek, Niko Wanders, Yoshihide Wada, Joyce H. C. Bosmans, Niels Drost, Ruud J. van der Ent, Inge E. M. de Graaf, Jannis M. Hoch, Kor de Jong, Derek Karssenberg, Patricia López López, Stefanie Peßenteiner, Oliver Schmitz, Menno W. Straatsma, Ekkamol Vannametee, Dominik Wisser, and Marc F. P. Bierkens
Geosci. Model Dev., 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018,https://doi.org/10.5194/gmd-11-2429-2018, 2018
Short summary

Related subject area

Subject: Global hydrology | Techniques and Approaches: Modelling approaches
Representing farmer irrigated crop area adaptation in a large-scale hydrological model
Jim Yoon, Nathalie Voisin, Christian Klassert, Travis Thurber, and Wenwei Xu
Hydrol. Earth Syst. Sci., 28, 899–916, https://doi.org/10.5194/hess-28-899-2024,https://doi.org/10.5194/hess-28-899-2024, 2024
Short summary
Combined impacts of climate and land-use change on future water resources in Africa
Celray James Chawanda, Albert Nkwasa, Wim Thiery, and Ann van Griensven
Hydrol. Earth Syst. Sci., 28, 117–138, https://doi.org/10.5194/hess-28-117-2024,https://doi.org/10.5194/hess-28-117-2024, 2024
Short summary
Deep learning for quality control of surface physiographic fields using satellite Earth observations
Tom Kimpson, Margarita Choulga, Matthew Chantry, Gianpaolo Balsamo, Souhail Boussetta, Peter Dueben, and Tim Palmer
Hydrol. Earth Syst. Sci., 27, 4661–4685, https://doi.org/10.5194/hess-27-4661-2023,https://doi.org/10.5194/hess-27-4661-2023, 2023
Short summary
Global dryland aridity changes indicated by atmospheric, hydrological, and vegetation observations at meteorological stations
Haiyang Shi, Geping Luo, Olaf Hellwich, Xiufeng He, Alishir Kurban, Philippe De Maeyer, and Tim Van de Voorde
Hydrol. Earth Syst. Sci., 27, 4551–4562, https://doi.org/10.5194/hess-27-4551-2023,https://doi.org/10.5194/hess-27-4551-2023, 2023
Short summary
Root zone soil moisture in over 25 % of global land permanently beyond pre-industrial variability as early as 2050 without climate policy
En Ning Lai, Lan Wang-Erlandsson, Vili Virkki, Miina Porkka, and Ruud J. van der Ent
Hydrol. Earth Syst. Sci., 27, 3999–4018, https://doi.org/10.5194/hess-27-3999-2023,https://doi.org/10.5194/hess-27-3999-2023, 2023
Short summary

Cited articles

Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS-global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175, https://doi.org/10.5194/hess-17-1161-2013, 2013.
Alfieri, L., Salamon, P., Bianchi, A., Neal, J. C., Bates, P., and Feyen, L.: Advances in pan-European flood hazard mapping, Hydrol. Process., 28, 4067–4077, https://doi.org/10.1002/hyp.9947, 2014.
Andreadis, K. M., Schumann, G. J.-P., and Pavelsky, T. M.: A simple global river bankfull width and depth database, Water Resour. Res., 49, 7164–7168, https://doi.org/10.1002/wrcr.20440, 2013.
Bates, P. D. and de Roo, A.: A simple raster-based model for flood inundation simulation, J. Hydrol., 236, 54–77, https://doi.org/10.1016/S0022-1694(00)00278-X, 2000.
Baugh, C. A., Bates, P. D., Schumann, G. J.-P., and Trigg, M. A.: SRTM vegetation removal and hydrodynamic modeling accuracy, Water Resour. Res., 49, 5276–5289, https://doi.org/10.1002/wrcr.20412, 2013.
Download
Short summary
Modelling inundations is pivotal to assess current and future flood hazard, and to define sound measures and policies. Yet, many models focus on the hydrologic or hydrodynamic aspect of floods only. We combined both by spatially coupling a hydrologic with a hydrodynamic model. This way we are able to balance the weaknesses of each model with the strengths of the other. We found that model coupling can indeed strongly improve discharge simulation, and see big potential in our approach.