Articles | Volume 26, issue 5
Hydrol. Earth Syst. Sci., 26, 1295–1318, 2022
https://doi.org/10.5194/hess-26-1295-2022
Hydrol. Earth Syst. Sci., 26, 1295–1318, 2022
https://doi.org/10.5194/hess-26-1295-2022

Research article 09 Mar 2022

Research article | 09 Mar 2022

Ecosystem adaptation to climate change: the sensitivity of hydrological predictions to time-dynamic model parameters

Laurène J. E. Bouaziz et al.

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-204', Anonymous Referee #1, 06 May 2021
  • RC2: 'Comment on hess-2021-204', Anonymous Referee #2, 26 May 2021
  • RC3: 'Comment on hess-2021-204', Anonymous Referee #3, 15 Jun 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (23 Jul 2021) by Erwin Zehe
AR by Laurène Bouaziz on behalf of the Authors (03 Nov 2021)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Nov 2021) by Erwin Zehe
RR by Anonymous Referee #1 (29 Nov 2021)
RR by Anonymous Referee #2 (08 Dec 2021)
RR by Patricia Saco (09 Dec 2021)
ED: Publish subject to minor revisions (review by editor) (22 Dec 2021) by Erwin Zehe
AR by Laurène Bouaziz on behalf of the Authors (21 Jan 2022)  Author's response    Manuscript
ED: Publish as is (25 Jan 2022) by Erwin Zehe
AR by Laurène Bouaziz on behalf of the Authors (26 Jan 2022)  Author's response
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Short summary
Assuming stationarity of hydrological systems is no longer appropriate when considering land use and climate change. We tested the sensitivity of hydrological predictions to changes in model parameters that reflect ecosystem adaptation to climate and potential land use change. We estimated a 34 % increase in the root zone storage parameter under +2 K global warming, resulting in up to 15 % less streamflow in autumn, due to 14 % higher summer evaporation, compared to a stationary system.