Articles | Volume 10, issue 9
https://doi.org/10.5194/gmd-10-3411-2017
https://doi.org/10.5194/gmd-10-3411-2017
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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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Adrien Gaudard (deceased) on behalf of the Authors (01 Jul 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (19 Jul 2017) by R. Marsh
RR by David Ham (31 Jul 2017)
ED: Publish subject to technical corrections (10 Aug 2017) by R. Marsh
AR by Adrien Gaudard (deceased) on behalf of the Authors (14 Aug 2017)  Manuscript 
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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.