Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 22, issue 4
Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2135-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-22-2135-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 22, issue 4
Research article
 | 
06 Apr 2018
Research article |  | 06 Apr 2018

Large-scale hydrological model river storage and discharge correction using a satellite altimetry-based discharge product

Charlotte Marie Emery, Adrien Paris, Sylvain Biancamaria, Aaron Boone, Stéphane Calmant, Pierre-André Garambois, and Joecila Santos da Silva

Viewed

Total article views: 4,274 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,670 1,478 126 4,274 142 161
  • HTML: 2,670
  • PDF: 1,478
  • XML: 126
  • Total: 4,274
  • BibTeX: 142
  • EndNote: 161
Views and downloads (calculated since 09 Oct 2017)
Cumulative views and downloads (calculated since 09 Oct 2017)

Viewed (geographical distribution)

Total article views: 4,274 (including HTML, PDF, and XML) Thereof 4,083 with geography defined and 191 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 19 Nov 2025
Download
Short summary
This study uses remotely sensed river discharge data to correct river storage and discharge in a large-scale hydrological model. The method is based on an ensemble Kalman filter and also introduces an additional technique that allows for better constraint of the correction (called localization). The approach is applied over the entire Amazon basin. Results show that the method is able to improve river discharge and localization to produce better results along main tributaries.
Read more
Share