Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-2239-2021
https://doi.org/10.5194/hess-25-2239-2021
Research article
 | 
26 Apr 2021
Research article |  | 26 Apr 2021

Quantifying the effects of land use and model scale on water partitioning and water ages using tracer-aided ecohydrological models

Aaron Smith, Doerthe Tetzlaff, Lukas Kleine, Marco Maneta, and Chris Soulsby

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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) (22 Jan 2021) by Lixin Wang
AR by Aaron Smith on behalf of the Authors (26 Jan 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (03 Feb 2021) by Lixin Wang
RR by Anonymous Referee #2 (09 Feb 2021)
RR by Anonymous Referee #1 (01 Mar 2021)
ED: Publish subject to minor revisions (review by editor) (05 Mar 2021) by Lixin Wang
AR by Aaron Smith on behalf of the Authors (05 Mar 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (08 Mar 2021) by Lixin Wang
AR by Aaron Smith on behalf of the Authors (14 Mar 2021)
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Short summary
We used a tracer-aided ecohydrological model on a mixed land use catchment in northeastern Germany to quantify water flux–storage–age interactions at four model grid resolutions. The model's ability to reproduce spatio-temporal flux–storage–age interactions decreases with increasing model grid sizes. Similarly, larger model grids showed vegetation-influenced changes in blue and green water partitioning. Simulations reveal the value of measured soil and stream isotopes for model calibration.