Articles | Volume 24, issue 1
https://doi.org/10.5194/hess-24-397-2020
https://doi.org/10.5194/hess-24-397-2020
Research article
 | 
24 Jan 2020
Research article |  | 24 Jan 2020

On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments

Thanh Duc Dang, A. F. M. Kamal Chowdhury, and Stefano Galelli

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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 revisions (further review by editor and referees) (16 Oct 2019) by Axel Bronstert
AR by Stefano Galelli on behalf of the Authors (22 Oct 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Oct 2019) by Axel Bronstert
RR by Charles Rougé (14 Nov 2019)
RR by Anonymous Referee #1 (26 Nov 2019)
ED: Publish subject to minor revisions (review by editor) (03 Dec 2019) by Axel Bronstert
AR by Stefano Galelli on behalf of the Authors (10 Dec 2019)  Author's response    Manuscript
ED: Publish as is (18 Dec 2019) by Axel Bronstert
AR by Stefano Galelli on behalf of the Authors (19 Dec 2019)  Author's response    Manuscript
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Short summary
A common problem in catchment hydrology lies in the representation of dams in numerical models. Here, we contribute to the existing literature by showing that the representation of water reservoirs can largely impact the model parameters, a result attained by comparing the parameters of a model for the upper Mekong basin built with or without reservoirs. We show that a flawed parameter estimation affects the representation of key physical processes and the downstream applications of the model.