Articles | Volume 29, issue 16
https://doi.org/10.5194/hess-29-3993-2025
© Author(s) 2025. 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-29-3993-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Aug 2025
Research article |
| 28 Aug 2025
| 28 Aug 2025
Reinforce lake water balance component estimations by integrating water isotope compositions with a hydrological model
Nariman Mahmoodi
CORRESPONDING AUTHOR
Lowland Hydrology and Water Management Group, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Hydrogeology Group, Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany
Hyoun-Tae Hwang
Aquanty, Inc., Waterloo, Ontario, Canada
Department of Earth and Environmental Sciences, University of Waterloo, Waterloo, Ontario, Canada
Ulrich Struck
Museum für Naturkunde, Leibniz-Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany
Michael Schneider
Lowland Hydrology and Water Management Group, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Christoph Merz
Lowland Hydrology and Water Management Group, Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany
Hydrogeology Group, Institute of Geological Sciences, Freie Universität Berlin, Berlin, Germany
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Short summary
Understanding water balance in lakes is complex. We studied Lake Groβ Glienicke in Germany, using an innovative method that combines isotope measurements and a hydrological model to improve estimates of water inflow and evaporation. Our findings show a high correlation between the two approaches, leading to better predictions of lake water dynamics. This research offers a reliable way of evaluating the model outputs.
Understanding water balance in lakes is complex. We studied Lake Groβ Glienicke in Germany,...
