Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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
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 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.

Citation: Stepanenko, V., Mammarella, I., Ojala, A., Miettinen, H., Lykosov, V., and Vesala, T.: LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes, Geosci. Model Dev., 9, 1977-2006, https://doi.org/10.5194/gmd-9-1977-2016, 2016.
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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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