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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 9, issue 5
Geosci. Model Dev., 9, 1977-2006, 2016
https://doi.org/10.5194/gmd-9-1977-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 9, 1977-2006, 2016
https://doi.org/10.5194/gmd-9-1977-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model description paper 30 May 2016

Model description paper | 30 May 2016

LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes

Victor Stepanenko1, Ivan Mammarella2, Anne Ojala4,3, Heli Miettinen5, Vasily Lykosov6,1, and Timo Vesala2,3 Victor Stepanenko et al.
  • 1Lomonosov Moscow State University, GSP-1, 119234, Leninskie Gory, 1, bld. 4, Moscow, Russia
  • 2Department of Physics, P.O. Box 48, 00014, University of Helsinki, Helsinki, Finland
  • 3Department of Forest Sciences, P.O. Box 27, 00014, University of Helsinki, Helsinki, Finland
  • 4Department of Environmental Sciences, Niemenkatu 73, 15140 Lahti, University of Helsinki, Helsinki, Finland
  • 5Department of Environmental Sciences, P.O. Box 65, 00014, University of Helsinki, Helsinki, Finland
  • 6Institute of Numerical Mathematics, Russian Academy of Sciences, 119333, Gubkina, 8, Moscow, Russia

Abstract. A one-dimensional (1-D) model for an enclosed basin (lake) is presented, which reproduces temperature, horizontal velocities, oxygen, carbon dioxide and methane in the basin. All prognostic variables are treated in a unified manner via a generic 1-D transport equation for horizontally averaged property. A water body interacts with underlying sediments. These sediments are represented by a set of vertical columns with heat, moisture and CH4 transport inside. The model is validated vs. a comprehensive observational data set gathered at Kuivajärvi Lake (southern Finland), demonstrating a fair agreement. The value of a key calibration constant, regulating the magnitude of methane production in sediments, corresponded well to that obtained from another two lakes. We demonstrated via surface seiche parameterization that the near-bottom turbulence induced by surface seiches is likely to significantly affect CH4 accumulation there. Furthermore, our results suggest that a gas transfer through thermocline under intense internal seiche motions is a bottleneck in quantifying greenhouse gas dynamics in dimictic lakes, which calls for further research.

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A 1-D lake model is presented, reproducing temperature, oxygen, carbon dioxide and methane. All prognostic variables are treated in unified manner via generic 1-D transport equation. The model is validated vs. comprehensive observational data set gathered at Kuivajärvi Lake (Finland). Our results suggest that a gas transfer through thermocline under intense seiche motions is a bottleneck in quantifying greenhouse gas dynamics in dimictic lakes, calling for further research.
A 1-D lake model is presented, reproducing temperature, oxygen, carbon dioxide and methane. All...
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