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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 9 | Copyright
Geosci. Model Dev., 10, 3411-3423, 2017
https://doi.org/10.5194/gmd-10-3411-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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 et al.
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Adrien Gaudard on behalf of the Authors (01 Jul 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (19 Jul 2017) by Robert Marsh
RR by David Ham (31 Jul 2017)
ED: Publish subject to technical corrections (10 Aug 2017) by Robert Marsh
Publications Copernicus
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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.
The study of lakes often uses numerical models to reproduce the processes occurring in nature as...
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