Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 10, issue 9
Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3411-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gmd-10-3411-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 10, issue 9
Development and technical paper
 | 
18 Sep 2017
Development and technical paper |  | 18 Sep 2017

Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3

Adrien Gaudard, Robert Schwefel, Love Råman Vinnå, Martin Schmid, Alfred Wüest, and Damien Bouffard

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Short summary
The study of lakes often uses numerical models to reproduce the processes occurring in nature as accurately as possible. Due to the complexity of natural systems, all numerical models need to leave aside or simplify many of the relevant processes. In this work, we improve the modelling of the impact of wind on the internal currents in deep lakes. This improves the reproduction of deep mixing, which influences the concentrations of oxygen and nutrients, with biological and chemical consequences.
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