Articles | Volume 23, issue 7
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


Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by editor) (24 May 2019) by Stacey Archfield
AR by Jamie Towner on behalf of the Authors (08 Jun 2019)  Author's response    Manuscript
ED: Publish subject to technical corrections (26 Jun 2019) by Stacey Archfield
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.