Articles | Volume 10, issue 3
https://doi.org/10.5194/gmd-10-1233-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-1233-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Modeling surface water dynamics in the Amazon Basin using MOSART-Inundation v1.0: impacts of geomorphological parameters and river flow representation
Xiangyu Luo
Pacific Northwest National Laboratory, Richland, WA 99352,
USA
Hong-Yi Li
Pacific Northwest National Laboratory, Richland, WA 99352,
USA
Montana State University, Bozeman, MT 59715, USA
Pacific Northwest National Laboratory, Richland, WA 99352,
USA
Teklu K. Tesfa
Pacific Northwest National Laboratory, Richland, WA 99352,
USA
Augusto Getirana
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Fabrice Papa
LEGOS/IRD, Universite de Toulouse, IRD-CNRS-CNES-UPS, Toulouse 31400,
France
Indo-French Cell for Water Sciences, IISc-NIO-IITM–IRD Joint
International Laboratory, IISc, Bangalore, India
Laura L. Hess
University of California, Santa Barbara, CA 93106, USA
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Discussed (final revised paper)
Latest update: 23 Nov 2024
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.
This study shows that alleviating vegetation-caused biases in DEM data, refining channel...