Articles | Volume 25, issue 4
https://doi.org/10.5194/hess-25-2239-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2239-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Apr 2021
Research article |
| 26 Apr 2021
| 26 Apr 2021
Quantifying the effects of land use and model scale on water partitioning and water ages using tracer-aided ecohydrological models
IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany
Doerthe Tetzlaff
IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany
Geographisches Institut, Humboldt University of Berlin, Berlin, Germany
Northern Rivers Institute, School of Geosciences, University of Aberdeen, Aberdeen, UK
Lukas Kleine
IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries Berlin, Berlin, Germany
Geographisches Institut, Humboldt University of Berlin, Berlin, Germany
Marco Maneta
School of Geosciences, University of Montana, Missoula, Montana, USA
Chris Soulsby
Geographisches Institut, Humboldt University of Berlin, Berlin, Germany
Northern Rivers Institute, School of Geosciences, University of Aberdeen, Aberdeen, UK
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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.
We used a tracer-aided ecohydrological model on a mixed land use catchment in northeastern...
