Articles | Volume 23, issue 7
https://doi.org/10.5194/hess-23-3057-2019
https://doi.org/10.5194/hess-23-3057-2019
Research article
 | 
18 Jul 2019
Research article |  | 18 Jul 2019

Assessing the performance of global hydrological models for capturing peak river flows in the Amazon basin

Jamie Towner, Hannah L. Cloke, Ervin Zsoter, Zachary Flamig, Jannis M. Hoch, Juan Bazo, Erin Coughlan de Perez, and Elisabeth M. Stephens

Viewed

Total article views: 5,494 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,911 1,507 76 5,494 683 81 84
  • HTML: 3,911
  • PDF: 1,507
  • XML: 76
  • Total: 5,494
  • Supplement: 683
  • BibTeX: 81
  • EndNote: 84
Views and downloads (calculated since 27 Feb 2019)
Cumulative views and downloads (calculated since 27 Feb 2019)

Viewed (geographical distribution)

Total article views: 5,494 (including HTML, PDF, and XML) Thereof 4,744 with geography defined and 750 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jul 2024
Download
Short summary
This study presents an intercomparison analysis of eight global hydrological models (GHMs), assessing their ability to simulate peak river flows in the Amazon basin. Results indicate that the meteorological input is the most influential component of the hydrological modelling chain, with the recent ERA-5 reanalysis dataset significantly improving the ability to simulate flood peaks in the Peruvian Amazon. In contrast, calibration of the Lisflood routing model was found to have no impact.