A Small Temperate Lake in the 21st Century: Dynamics of Water Temperature, Ice Phenology, Dissolved Oxygen, and Chlorophyll <i>a</i>

Tan, Zeli; Yao, Huaxia; Zhuang, Qianlai

doi:10.1029/2017wr022334

Cited by 42 publications

(47 citation statements)

References 70 publications

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“…Although this model was originally developed for Arctic lakes (Tan et al 2015a), it can achieve comparable or even better performance than those widely used onedimensional lake models in representing the physical and biogeochemical processes of other northern lakes (Guseva et al 2020). Detailed information about ALBM can be found in Tan et al (2015aTan et al ( , 2017Tan et al ( , 2018. We introduce the key governing equations of methane processes in ALBM below.…”

Section: Model Configurationmentioning

confidence: 99%

Rising methane emissions from boreal lakes due to increasing ice-free days

Guo

Zhuang

Tan

et al. 2020

Environ. Res. Lett.

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Lakes account for about 10% of the boreal landscape and are responsible for approximately 30% of biogenic methane emissions that have been found to increase under changing climate. However, the quantification of this climate-sensitive methane source is fraught with large uncertainty under warming climate conditions. Only a few studies have addressed the mechanism of climate impact on the increase of northern lake methane emissions. This study uses a large observational dataset of lake methane concentrations in Finland to constrain methane emissions with an extant process-based lake biogeochemical model. We found that the total current diffusive emission from Finnish lakes is 0.12 ± 0.03 Tg CH 4 yr −1 and will increase by 26%-59% by the end of this century depending on different warming scenarios. We discover that while warming lake water and sediment temperature plays an important role, the climate impact on ice-on periods is a key indicator of future emissions. We conclude that these boreal lakes remain a significant methane source under the warming climate within this century.

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Section: Model Configurationmentioning

confidence: 99%

Rising methane emissions from boreal lakes due to increasing ice-free days

Guo

Zhuang

Tan

et al. 2020

Environ. Res. Lett.

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“…Simulations were run for Harp Lake, a lake in Ontario, Canada with long-term high-frequency monitoring data for meteorology, water temperature, CO 2 and O 2 . Five lake models were used in this study to simulate thermal dynamics and turbulent diffusivity in the lake: 1) Arctic Lake Biogeochemistry Model, ALBM Tan et al, 2017Tan et al, , 2018 2) FLake (Mironov, 2003) 3) LAKE (Stepanenko et al, 2011(Stepanenko et al, , 2016 4) LAKEoneD (Jöhnk and Umlauf, 2001;Jöhnk et al, 2008) 5)Modelagem do Transporte de Calor no Reservatório, MTCR-1 Bleninger, 2015, 2018). ALBM and LAKE models include comprehensive biogeochemical modules for calculation of dissolved gas concentrations, which were then tested in their ability to reproduce CO 2 and oxygen O 2 dynamics.…”

Section: Introductionmentioning

confidence: 99%

“…The unrealistic representation of ice formation and ice melt dates leads to untimely changes in eddy diffusivity (ED) within the water column, which in turn strongly affects the modeled distribution of gases and their emission to the atmosphere. In a recent study, (Tan et al, 2018) one possible direction to improve the simulation of ice-cover is shown. They demonstrated that including the conversion of snow to white or slush ice when the weight of ice and snow exceeds the buoyancy of the ice cover, can significantly improve the ice simulation results.…”

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confidence: 99%

Multimodel simulation of vertical gas transfer in a temperate lake

Guseva¹,

Bleninger²,

Joehnk³

et al. 2019

Preprint

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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 − &varepsilon; 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.

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“…The k − ε models (SimStrat, LAKE, LAKEoneD) demonstrate intensive mixing of the lakes during summer, emphasizing their applicability especially to shallow lakes (Stepanenko et al, 2010(Stepanenko et al, , 2014. Nevertheless, these types of lake models can also be appropriate for studying physical processes in deep lakes (Thiery et al, 2014a). Furthermore, lake models using the Henderson-Sellers parameterization of vertical mixing (e.g., CLM4-LISSS, Hostetler lake model, Henderson-Sellers, 1985) represent the thermodynamic state of a water body adequately, but can underestimate mixolimnion temperatures (Thiery et al, 2014a).…”

mentioning

confidence: 99%

Multimodel simulation of vertical gas transfer in a temperate lake

Guseva

Bleninger

Joehnk

et al. 2020

Hydrol. Earth Syst. Sci.

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Abstract. In recent decades, several lake models of varying complexity have been developed and incorporated into 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 the 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 the 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.

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A Small Temperate Lake in the 21st Century: Dynamics of Water Temperature, Ice Phenology, Dissolved Oxygen, and Chlorophyll a

Cited by 42 publications

References 70 publications

Rising methane emissions from boreal lakes due to increasing ice-free days

Rising methane emissions from boreal lakes due to increasing ice-free days

Multimodel simulation of vertical gas transfer in a temperate lake

Multimodel simulation of vertical gas transfer in a temperate lake

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