LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes
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 prope...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2016-05-01
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| Series: | Geoscientific Model Development |
| Online Access: | http://www.geosci-model-dev.net/9/1977/2016/gmd-9-1977-2016.pdf |
| _version_ | 1819083917512146944 |
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| author | V. Stepanenko I. Mammarella A. Ojala H. Miettinen V. Lykosov T. Vesala |
| author_facet | V. Stepanenko I. Mammarella A. Ojala H. Miettinen V. Lykosov T. Vesala |
| author_sort | V. Stepanenko |
| collection | DOAJ |
| description | 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 CH<sub>4</sub> 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
CH<sub>4</sub> 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. |
| first_indexed | 2024-12-21T20:40:11Z |
| format | Article |
| id | doaj.art-93c0aa257db14a77aafb46786f17948c |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-12-21T20:40:11Z |
| publishDate | 2016-05-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-93c0aa257db14a77aafb46786f17948c2022-12-21T18:50:59ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032016-05-01951977200610.5194/gmd-9-1977-2016LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakesV. Stepanenko0I. Mammarella1A. Ojala2H. Miettinen3V. Lykosov4T. Vesala5Lomonosov Moscow State University, GSP-1, 119234, Leninskie Gory, 1, bld. 4, Moscow, RussiaDepartment of Physics, P.O. Box 48, 00014, University of Helsinki, Helsinki, FinlandDepartment of Environmental Sciences, Niemenkatu 73, 15140 Lahti, University of Helsinki, Helsinki, FinlandDepartment of Environmental Sciences, P.O. Box 65, 00014, University of Helsinki, Helsinki, FinlandInstitute of Numerical Mathematics, Russian Academy of Sciences, 119333, Gubkina, 8, Moscow, RussiaDepartment of Physics, P.O. Box 48, 00014, University of Helsinki, Helsinki, FinlandA 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 CH<sub>4</sub> 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 CH<sub>4</sub> 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.http://www.geosci-model-dev.net/9/1977/2016/gmd-9-1977-2016.pdf |
| spellingShingle | V. Stepanenko I. Mammarella A. Ojala H. Miettinen V. Lykosov T. Vesala LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes Geoscientific Model Development |
| title | LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes |
| title_full | LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes |
| title_fullStr | LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes |
| title_full_unstemmed | LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes |
| title_short | LAKE 2.0: a model for temperature, methane, carbon dioxide and oxygen dynamics in lakes |
| title_sort | lake 2 0 a model for temperature methane carbon dioxide and oxygen dynamics in lakes |
| url | http://www.geosci-model-dev.net/9/1977/2016/gmd-9-1977-2016.pdf |
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