Articles | Volume 26, issue 21
Hydrol. Earth Syst. Sci., 26, 5473–5491, 2022
https://doi.org/10.5194/hess-26-5473-2022
Hydrol. Earth Syst. Sci., 26, 5473–5491, 2022
https://doi.org/10.5194/hess-26-5473-2022
Research article
03 Nov 2022
Research article | 03 Nov 2022

Investigating coastal backwater effects and flooding in the coastal zone using a global river transport model on an unstructured mesh

Dongyu Feng et al.

Related authors

Understanding the Compound Flood Risk along the Coast of the Contiguous United States
Dongyu Feng, Zeli Tan, Donghui Xu, and L. Ruby Leung
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-31,https://doi.org/10.5194/hess-2023-31, 2023
Preprint under review for HESS
Short summary

Related subject area

Subject: Global hydrology | Techniques and Approaches: Modelling approaches
Poor correlation between large-scale environmental flow violations and freshwater biodiversity: implications for water resource management and the freshwater planetary boundary
Chinchu Mohan, Tom Gleeson, James S. Famiglietti, Vili Virkki, Matti Kummu, Miina Porkka, Lan Wang-Erlandsson, Xander Huggins, Dieter Gerten, and Sonja C. Jähnig
Hydrol. Earth Syst. Sci., 26, 6247–6262, https://doi.org/10.5194/hess-26-6247-2022,https://doi.org/10.5194/hess-26-6247-2022, 2022
Short summary
Accuracy of five ground heat flux empirical simulation methods in the surface-energy-balance-based remote-sensing evapotranspiration models
Zhaofei Liu
Hydrol. Earth Syst. Sci., 26, 6207–6226, https://doi.org/10.5194/hess-26-6207-2022,https://doi.org/10.5194/hess-26-6207-2022, 2022
Short summary
Coupling a global glacier model to a global hydrological model prevents underestimation of glacier runoff
Pau Wiersma, Jerom Aerts, Harry Zekollari, Markus Hrachowitz, Niels Drost, Matthias Huss, Edwin H. Sutanudjaja, and Rolf Hut
Hydrol. Earth Syst. Sci., 26, 5971–5986, https://doi.org/10.5194/hess-26-5971-2022,https://doi.org/10.5194/hess-26-5971-2022, 2022
Short summary
Revisiting large-scale interception patterns constrained by a synthesis of global experimental data
Feng Zhong, Shanhu Jiang, Albert I. J. M. van Dijk, Liliang Ren, Jaap Schellekens, and Diego G. Miralles
Hydrol. Earth Syst. Sci., 26, 5647–5667, https://doi.org/10.5194/hess-26-5647-2022,https://doi.org/10.5194/hess-26-5647-2022, 2022
Short summary
Using a long short-term memory (LSTM) neural network to boost river streamflow forecasts over the western United States
Kieran M. R. Hunt, Gwyneth R. Matthews, Florian Pappenberger, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 26, 5449–5472, https://doi.org/10.5194/hess-26-5449-2022,https://doi.org/10.5194/hess-26-5449-2022, 2022
Short summary

Cited articles

Alfieri, L., Feyen, L., and Di Baldassarre, G.: Increasing flood risk under climate change: a pan-European assessment of the benefits of four adaptation strategies, Climatic Change, 136, 507–521, https://doi.org/10.1007/s10584-016-1641-1, 2016. 
Allen, G. H. and Pavelsky, T. M.: Global extent of rivers and streams, Science, 361, 585–588, https://doi.org/10.1126/science.aat0636, 2018. 
Bakhtyar, R., Maitaria, K., Velissariou, P., Trimble, B., Mashriqui, H., Moghimi, S., Abdolali, A., Van der Westhuysen, A., Ma, Z., and Clark, E.: A new 1D/2D coupled modeling approach for a riverine-estuarine system under storm events: Application to Delaware River Basin, J. Geophys. Res.-Oceans, 125, e2019JC015822, https://doi.org/10.1029/2019JC015822, 2020. 
Bates, P. D., Quinn, N., Sampson, C., Smith, A., Wing, O., Sosa, J., Savage, J., Olcese, G., Neal, J., and Schumann, G.: Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates, Water Resour. Res., 57, e2020WR028673, https://doi.org/10.1029/2020WR028673, 2021. 
Bent, G. C. and Waite, A. M.: Equations for estimating bankfull channel geometry and discharge for streams in Massachusetts, U.S. Geological Survey Scientific Investigations Report 2013–5155, https://doi.org/10.3133/sir20135155, 2013. 
Download
Short summary
Sea level rise, storm surge and river discharge can cause coastal backwater effects in downstream sections of rivers, creating critical flood risks. This study simulates the backwater effects using a large-scale river model on a coastal-refined computational mesh. By decomposing the backwater drivers, we revealed their relative importance and long-term variations. Our analysis highlights the increasing strength of backwater effects due to sea level rise and more frequent storm surge.