Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2016-262
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Development and technical paper
29 Nov 2016
Review status
This discussion paper is under review for the journal Geoscientific Model Development (GMD).
Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat
Adrien Gaudard1, Robert Schwefel2, Love Råman Vinnå2, Martin Schmid1, Alfred Wüest1,2, and Damien Bouffard2 1Eawag, Swiss Federal Institute of Aquatic Science and Technology, Surface Waters – Research and Management, Seestrasse 79, CH-6047 Kastanienbaum, Switzerland
2École Polytechnique Fédérale de Lausanne, Physics of Aquatic Systems Laboratory – Margaretha Kamprad Chair, EPFLENAC-IIE-APHYS, CH-1015 Lausanne, Switzerland
Abstract. This paper presents an improvement of a one-dimensional lake hydrodynamic model (Simstrat) to characterize the vertical thermal structure of deep lakes. Using physically based arguments, we refine the transfer of wind energy to basin-scale internal waves (BSIWs). Namely, we consider the properties of the basin, the characteristics of the wind time series and the stability of the water column to filter and thereby optimize the magnitude of wind energy transferred to BSIWs. We show that this filtering procedure can significantly improve the accuracy of modelled temperatures, especially in the deep water of lakes such as Lake Geneva. This modification, tested on four different lakes, increases model accuracy and contributes to better reproduction of deep mixing, a fundamental parameter for biogeochemical processes such as oxygen depletion. It also improves modelling over long time series for the purpose of climate change studies.

Citation: Gaudard, A., Schwefel, R., Råman Vinnå, L., Schmid, M., Wüest, A., and Bouffard, D.: Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-262, in review, 2016.
Adrien Gaudard et al.
Adrien Gaudard et al.
Adrien Gaudard et al.

Viewed

Total article views: 132 (including HTML, PDF, and XML)

HTML PDF XML Total BibTeX EndNote
96 29 7 132 2 15

Views and downloads (calculated since 29 Nov 2016)

Cumulative views and downloads (calculated since 29 Nov 2016)

Viewed (geographical distribution)

Total article views: 132 (including HTML, PDF, and XML)

Thereof 132 with geography defined and 0 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 23 Mar 2017
Publications Copernicus
Download
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...
Share