Articles | Volume 11, issue 12
https://doi.org/10.5194/gmd-11-4965-2018
https://doi.org/10.5194/gmd-11-4965-2018
Development and technical paper
 | 
07 Dec 2018
Development and technical paper |  | 07 Dec 2018

ORCHIDEE-ROUTING: revising the river routing scheme using a high-resolution hydrological database

Trung Nguyen-Quang, Jan Polcher, Agnès Ducharne, Thomas Arsouze, Xudong Zhou, Ana Schneider, and Lluís Fita

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Cited articles

Akhil, V., Durand, F., Lengaigne, M., Vialard, J., Keerthi, M., Gopalakrishna, V., Deltel, C., Papa, F., and de Boyer Montégut, C.: A modeling study of the processes of surface salinity seasonal cycle in the Bay of Bengal, J. Geophys. Res.-Oceans, 119, 3926–3947, 2014. a
Allen, G. H. and Pavelsky, T. M.: Patterns of river width and surface area revealed by the satellite-derived North American River Width data set, Geophys. Res. Lett., 42, 395–402, 2015. a, b
Andersson, J., Pechlivanidis, I., Gustafsson, D., Donnelly, C., and Arheimer, B.: Key factors for improving large-scale hydrological model performance, European Water, 49, 77–88, 2015. a
Arora, V., Seglenieks, F., Kouwen, N., and Soulis, E.: Scaling aspects of river flow routing, Hydrol. Process., 15, 461–477, 2001. a
Arora, V. K. and Boer, G. J.: A variable velocity flow routing algorithm for GCMs, J. Geophys. Res.-Atmos., 104, 30965–30979, 1999. a
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This study presents a revised river routing scheme for the Organising Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) land surface model. The revision is carried out to benefit from the high-resolution topography provided by the Hydrological data and maps based on SHuttle Elevation Derivatives at multiple Scales (HydroSHEDS). We demonstrate that the finer description of the catchments allows for an improvement of the simulated river discharge of ORCHIDEE in an area with complex topography.
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