Articles | Volume 8, issue 4
https://doi.org/10.5194/esurf-8-955-2020
https://doi.org/10.5194/esurf-8-955-2020
Research article
 | 
16 Nov 2020
Research article |  | 16 Nov 2020

Complementing scale experiments of rivers and estuaries with numerically modelled hydrodynamics

Steven A. H. Weisscher, Marcio Boechat-Albernaz, Jasper R. F. W. Leuven, Wout M. Van Dijk, Yasuyuki Shimizu, and Maarten G. Kleinhans

Related authors

Estuarine morphodynamics and development modified by floodplain formation
Maarten G. Kleinhans, Lonneke Roelofs, Steven A. H. Weisscher, Ivar R. Lokhorst, and Lisanne Braat
Earth Surf. Dynam., 10, 367–381, https://doi.org/10.5194/esurf-10-367-2022,https://doi.org/10.5194/esurf-10-367-2022, 2022
Short summary

Related subject area

Physical: Geomorphology (including all aspects of fluvial, coastal, aeolian, hillslope and glacial geomorphology)
Haloturbation in the northern Atacama Desert revealed by a hidden subsurface network of calcium sulfate wedges
Aline Zinelabedin, Joel Mohren, Maria Wierzbicka-Wieczorek, Tibor Janos Dunai, Stefan Heinze, and Benedikt Ritter
Earth Surf. Dynam., 13, 257–276, https://doi.org/10.5194/esurf-13-257-2025,https://doi.org/10.5194/esurf-13-257-2025, 2025
Short summary
An evaluation of flow-routing algorithms for calculating contributing area on regular grids
Alexander B. Prescott, Jon D. Pelletier, Satya Chataut, and Sriram Ananthanarayan
Earth Surf. Dynam., 13, 239–256, https://doi.org/10.5194/esurf-13-239-2025,https://doi.org/10.5194/esurf-13-239-2025, 2025
Short summary
Geometric constraints on tributary fluvial network junction angles
Jon D. Pelletier, Robert G. Hayes, Olivia Hoch, Brendan Fenerty, and Luke A. McGuire
Earth Surf. Dynam., 13, 219–238, https://doi.org/10.5194/esurf-13-219-2025,https://doi.org/10.5194/esurf-13-219-2025, 2025
Short summary
Automatic detection of floating instream large wood in videos using deep learning
Janbert Aarnink, Tom Beucler, Marceline Vuaridel, and Virginia Ruiz-Villanueva
Earth Surf. Dynam., 13, 167–189, https://doi.org/10.5194/esurf-13-167-2025,https://doi.org/10.5194/esurf-13-167-2025, 2025
Short summary
Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach
Julius Reich and Axel Winterscheid
Earth Surf. Dynam., 13, 191–217, https://doi.org/10.5194/esurf-13-191-2025,https://doi.org/10.5194/esurf-13-191-2025, 2025
Short summary

Cited articles

Arcement, G. J. and Schneider, V. R.: Guide for selecting Manning's roughness coefficients for natural channels and flood plains, U.S.G.S. Water-Supply Paper 2339, 1–44, 1989 a, b
Ashmore, P. E.: Channel morphology and bed load pulses in braided, gravel-bed streams, Geogr. Ann. A, 73, 37–52, https://doi.org/10.1080/04353676.1991.11880331, 1991a. a, b
Ashmore, P. E.: How do gravel-bed rivers braid?, Can. J. Earth Sci., 28, 326–341, https://doi.org/10.1139/e91-030, 1991b. a
Ashworth, P. J., Best, J. L., and Leddy, J. O.: 6 The Physical Modelling of Braided Rivers and Deposition of Fine-grained, edited by: Kirkby, M. J.,vol. 8, John Wiley & Sons Ltd, 1994. a
Ashworth, P. J., Best, J. L., and Jones, M.: Relationship between sediment supply and avulsion frequency in braided rivers, Geology, 32, 21–24, 2004. a, b
Download
Short summary
Accurate and continuous data collection is challenging in physical scale experiments. A novel means to augment measurements is to numerically model flow over the experimental digital elevation maps. We tested this modelling approach for one tidal and two river scale experiments and showed that modelled water depth and flow velocity closely resemble the measurements. The implication is that conducting experiments requires fewer measurements and results in flow data of better overall quality.
Share