Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1233-2017
https://doi.org/10.5194/gmd-10-1233-2017
Development and technical paper
 | 
23 Mar 2017
Development and technical paper |  | 23 Mar 2017

Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation

Xiangyu Luo, Hong-Yi Li, L. Ruby Leung, Teklu K. Tesfa, Augusto Getirana, Fabrice Papa, and Laura L. Hess

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Cited articles

Alsdorf, D., Dunne, T., Melack, J., Smith, L., and Hess, L.: Diffusion modeling of recessional flow on central Amazonian floodplains, Geophys. Res. Lett., 32, L21405, https://doi.org/10.1029/2005GL024412, 2005.
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Arcement, G. J. and Schneider, V. R.: Guide for selecting Manning's roughness coefficients for natural channels and flood plains, United States Geological Survey, Water-Supply Paper 2339, 1989.
Baugh, C. A., Bates, P. D., Schumann, G., 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.
Beighley, R. E. and Gummadi, V.: Developing channel and floodplain dimensions with limited data: a case study in the Amazon Basin, Earth Surf. Proc. Land., 36, 1059–1071, https://doi.org/10.1002/esp.2132, 2011.
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Short summary
This study shows that alleviating vegetation-caused biases in DEM data, refining channel cross-sectional geometry and Manning roughness coefficients, as well as accounting for backwater effects can effectively improve the modeling of streamflow, river stages and flood extent in the Amazon Basin. The obtained understanding could be helpful to hydrological modeling in basins with evident inundation, which has important implications for improving land–atmosphere interactions in Earth system models.
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