Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 10, 1233-1259, 2017
http://www.geosci-model-dev.net/10/1233/2017/
doi:10.5194/gmd-10-1233-2017
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
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 et al.
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Interactive discussionStatus: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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RC1: 'Review of Luo et al "Modeling surface water dynamics in the Amazon basin using MOSART-inundation-v1.0: Impacts of Geomorphological parameters and river flow representation'', Anonymous Referee #1, 14 Sep 2016 Printer-friendly Version 
AC1: 'Reply to first reviewer's comments', L. Ruby Leung, 27 Nov 2016 Printer-friendly Version Supplement 
 
RC2: 'Review comments', Anonymous Referee #2, 24 Oct 2016 Printer-friendly Version 
AC2: 'Reply to second reviewer's comments', L. Ruby Leung, 27 Nov 2016 Printer-friendly Version Supplement 
 
AC3: 'Letter to Editor', L. Ruby Leung, 27 Nov 2016 Printer-friendly Version 
Peer review completion
AR: Author's response | RR: Referee report | ED: Editor decision
AR by Xiangyu Luo on behalf of the Authors (23 Dec 2016)  Author's response  Manuscript
ED: Referee Nomination & Report Request started (10 Jan 2017) by Jeffrey Neal
RR by Anonymous Referee #1 (14 Jan 2017)  
RR by Anonymous Referee #2 (25 Jan 2017)  
ED: Publish subject to minor revisions (Editor review) (10 Feb 2017) by Jeffrey Neal  
AR by Xiangyu Luo on behalf of the Authors (18 Feb 2017)  Author's response  Manuscript
ED: Publish as is (20 Feb 2017) by Jeffrey Neal  
Publications Copernicus
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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.
This study shows that alleviating vegetation-caused biases in DEM data, refining channel...
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