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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/hess-2019-146
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-2019-146
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 09 Apr 2019

Research article | 09 Apr 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Hydrology and Earth System Sciences (HESS).

Multimodel simulation of vertical gas transfer in a temperate lake

Sofya Guseva1,a, Tobias Bleninger2, Klaus Jöhnk3, Bruna Arcie Polli2, Zeli Tan4, Wim Thiery5,6, Qianlai Zhuang7, James Anthony Rusak8, Huaxia Yao8, Andreas Lorke1, and Victor Stepanenko9,10 Sofya Guseva et al.
  • 1Institute for Environmental Sciences, University of Koblenz-Landau, Landau, Germany
  • 2Graduate Program on Water Resources and Environmental Engineering, Federal University of Paraná, Curitiba, Brazil
  • 3CSIRO Land and Water, Black Mountain, Canberra ACT 2601, Australia
  • 4Pacific Northwest National Laboratory, Richland, Washington, USA
  • 5Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland
  • 6Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Brussels, Belgium
  • 7Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, West Lafayette, Indiana, USA
  • 8Dorset Environmental Science Centre, Ontario Ministry of Environment, Conservation and Parks, Dorset, Ontario, P0A 1E0, Canada
  • 9Laboratory for Supercomputer Modeling of Climate System Processes, Research Computing Center, Lomonosov Moscow State University, Moscow, Russia
  • 10Department of Meteorology and Climatology, Faculty of Geography, Lomonosov Moscow State University, Moscow, Russia
  • apreviously at: Department of Geography, Lomonosov Moscow State University, Moscow, Russia

Abstract. In recent decades, several lake models of varying complexity have been developed and incorporated in numerical weather prediction systems and climate models. To foster enhanced forecasting ability and verification, improvement of these lake models remains essential. This especially applies to the limited simulation capabilities of biogeochemical processes in lakes and greenhouse gas exchanges with the atmosphere. Here we present multi-model simulations of physical variables and dissolved gas dynamics in a temperate lake (Harp Lake, Canada). The five models (ALBM, FLake, LAKE, LAKEoneD, MTCR-1) considered within this most recent round of the Lake Model Intercomparison Project (LakeMIP) all captured the seasonal temperature variability well. In contrast, none of the models is able to reproduce the exact dates of ice-cover and ice-off, leading to considerable errors in the simulation of eddy diffusivity around those dates. We then conducted an additional modeling experiment with a diffusing passive tracer to isolate the effect of the eddy diffusivity on gas concentration. Remarkably, sophisticated k − ϵ models do not demonstrate a significant difference in the vertical diffusion of a passive tracer compared to models with much simpler turbulence closures. All models simulate less intensive spring overturn compared to autumn. Reduced mixing in the models consequently leads to the accumulation of the passive tracer distribution in the water column. The lake models with a comprehensive biogeochemical module, such as ALBM and LAKE, predict dissolved oxygen dynamics adequate to the observed data. However, for the surface carbon dioxide concentration the correlation between modeled (ALBM, LAKE) and observed data is weak (∼ 0.3). Overall our results indicate the need to improve the representation of physical and biogeochemical processes in lake models, thereby contributing to enhanced weather prediction and climate projection capabilities.

Sofya Guseva et al.
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Latest update: 19 Jul 2019
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Short summary
We compare the lake models with different complexity focusing on the key factors (e.g. eddy diffusivity) which can have an influence on the distribution of the dissolved gases in water. For the first time, we compare the biogeochemical modules in ALBM and LAKE models. The result showed a good agreement with observed data (O2) but not for the CO2. It indicates the need to improve the representation of physical and biogeochegeochemical processes in lake models contributing to enhanced weather prediction.
We compare the lake models with different complexity focusing on the key factors (e.g. eddy...
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