Future alterations of thermal characteristics in a medium-sized lake simulated by coupling a regional climate model with a lake model

Bueche, Thomas; Vetter, Mark

doi:10.1007/s00382-014-2259-5

Cited by 16 publications

(10 citation statements)

References 65 publications

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“…GLM is a one-dimensional hydrodynamic model simulating the vertical profiles of temperature, salinity, and density at one spatial point in a lake over time (Frassl et al, 2016;Robertson et al, 2018). It applies the Lagrangian layer structure adapting the thickness and volume of layers with uniform properties from each simulation step (Bueche et al, 2017). The underlying equations and hydrodynamics closures are documented in Hipsey et al (2014Hipsey et al ( , 2017).…”

Section: The Hydrodynamic Lake Modelmentioning

confidence: 99%

“…GLM is able to simulate the thermal dynamics of lakes in their temporal and spatial (vertical) characteristics. The model code is open source and applied in numerous studies to a broad variety of different lakes and research questions (e.g., Bueche et al, 2017;Bucak et al, 2018;Bruce et al, 2018;Fenocchi et al, 2017Fenocchi et al, , 2018Fenocchi et al, , 2019Robertson et al, 2018;Ladwig et al, 2018;Mi et al, 2018). Carey and Gougis (2017) present the usage of GLM beyond the research application by incorporating it into a teaching tool for students.…”

Section: Introductionmentioning

confidence: 99%

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glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations

Bueche¹,

Wenk²,

Poschlod³

et al. 2020

Geosci. Model Dev.

Self Cite

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Abstract. Numerical modeling provides an opportunity to quantify the reaction of lakes to alterations in their environment, such as changes in climate or hydrological conditions. The one-dimensional hydrodynamic General Lake Model (GLM) is an open-source software and widely used within the limnological research community. Nevertheless, no interface to process the input data and run the model and no tools for an automatic parameter calibration yet exist. Hence, we developed glmGUI, a graphical user interface (GUI) including a toolbox for an autocalibration, parameter sensitivity analysis, and several plot options. The tool is provided as a package for the freely available scientific code language R. The model parameters can be analyzed and calibrated for the simulation output variables water temperature and lake level. The glmGUI package is tested for two sites (lake Ammersee, Germany, and lake Baratz, Italy), distinguishing size, mixing regime, hydrology of the catchment area (i.e., the number of inflows and their runoff seasonality), and climatic conditions. A robust simulation of water temperature for both lakes (Ammersee: RMSE =1.17 ∘C; Baratz: RMSE =1.30 ∘C) is achieved by a quick automatic calibration. The quality of a water temperature simulation can be assessed immediately by means of a difference plot provided by glmGUI, which displays the distribution of the spatial (vertical) and temporal deviations. The calibration of the lake-level simulations of lake Ammersee for multiple hydrological inputs including also unknown inflows yielded a satisfactory model fit (RMSE =0.20 m). This shows that GLM can also be used to estimate the water balance of lakes correctly. The tools provided by glmGUI enable a less time-consuming and simplified parameter optimization within the calibration process. Due to this, i.e., the free availability and the implementation in a GUI, the presented R package expands the application of GLM to a broader field of lake modeling research and even beyond limnological experts.

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Section: The Hydrodynamic Lake Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations

Bueche¹,

Wenk²,

Poschlod³

et al. 2020

Geosci. Model Dev.

Self Cite

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show abstract

“…The lake outflow in the north (Stegen gauge station) has a catchment area of about 994 km². The main tributary is River Ammer, which contributes approximately 80% of the total annual discharge to the lake (Bueche and Vetter, 2015). Several other streams and creeks inflow into the lake, but only River Rott and Fischbach have a share of greater than 5 % of the total lake catchment area size (see Table B1).…”

Section: Study Sitementioning

confidence: 99%

“…Snortheim et al, 2017;Robertson et al, 2018;Weber et al, 2017;Fenocchi et al, 2019), as the toolbox already works for this purpose and can be the basis for a development of a coupling interface. An increasing number of lake modeling studies are investigating the impact of global change on lakes using as meteorological input data regional climate model output or future scenarios (Fenocchi et al, 2018;Weinberger and Vetter, 2014;Bueche and Vetter, 2015;Ladwig et al, 2018;Pietikäinen et al, 2018;Piccolroaz and Toffolon, 2018). For 20 analyses in field of research the presented R package glmGUI will be a powerful tool, especially the provided difference contour plots.…”

Section: The Development Of Glmgui For the Free And Open-source Progrmentioning

confidence: 99%

glmGUI v1.0: an R-based Geographical User Interface and toolbox for GLM (General Lake Model) simulations

Bueche¹,

Wenk²,

Poschlod³

et al. 2019

Preprint

Self Cite

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Abstract. Numerical modeling provides the opportunity to quantify the reaction of lakes on alterations in their environment, such as changes in climate or hydrological conditions. The one-dimensional hydrodynamic General Lake Model (GLM) is an open-source software and widely used within the limnological research community. Nevertheless, neither an interface to process the input data and run the model, nor tools for an automatic parameter calibration exist. Hence, we developed glmGUI, a Geographical User Interface (GUI) including a toolbox for an autocalibration, parameter sensitivity analysis, and several plot options. The tool is provided as a package for the freely available scientific code language R. The model parameters can be analyzed and calibrated for the simulation output variables water temperature and lake level. The glmGUI package is tested for two sites (Lake Ammersee, Germany, and Lake Baratz, Italy) distinguishing in size, mixing regime, hydrology of the catchment area (i.e. the number of inflows and their runoff seasonality), and climatic conditions. A robust simulation of water temperature for both lakes (Ammersee: RMSE = 1.17 °C, Baratz: RMSE = 1.30 °C) is achieved by a quick automatic calibration. The quality of a water temperature simulation can be assessed immediately by a difference plot provided by glmGUI, which displays the distribution of the spatial (vertical) and temporal deviations. The calibration of the lake level simulations of Lake Ammersee for multiple hydrological inputs including also unknown inflows yielded a satisfactory model fit (RMSE = 0.20 m). This shows that GLM can be also used to estimate the water balance of lakes correctly. The tools provided by glmGUI enable a less time-consuming and simplified parameter optimization within the calibration process. Due to this, the free availability and the implementation in a GUI, the presented R package expands the application of GLM to a broader field of lake modeling research and even beyond limnological experts.

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“…Nevertheless, future climate change in Germany is likely to accelerate the already observed tendencies (Deutschländer and Mächel 2017;Hausmann and Nacken 2011;Kunz et al 2017;Menzel et al 2006). In surface water and in particular in lakes, rising temperatures are expected to modify the thermal and hydrochemical stratification as well as the ecology (Büche 2016;Büche and Vetter 2015). In this thematic issue (see Table 2), investigations by Weber et al in a small high alpine catchment in the Bavarian Alps show a clear correlation between snow cover duration and surface pressure, with positive anomalies of the NAO-index being accompanied by lower snow depth maxima.…”

Section: Hydrology Hydromorphology and Hydrogeologymentioning

confidence: 99%

Water research in Germany: from the reconstruction of the Roman Rhine to a risk assessment for aquatic neophytes

et al. 2017

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Germany does not only have a long tradition in water research, but a very active community of scientists and practitioners working on a vast range of ''water topics.'' This thematic issue, which was initiated by four water-related research associations (German Hydrological Society; German Limnological Society; Hydrological Sciences Commission within German Water Association; Working Group Hydrology within German Geographical Society), is a testimony of both the quality and diversity of the water research currently undertaken by Germany's scientific community. Key topics include hydrology and hydromorphology; water quality; aquatic and riparian ecosystems; water in agriculture and forestry; and water management and supply. The manuscripts contained in this thematic issue do not only cover a period of more than two millennia, but also address all types of water resources and a multitude of both established and newly developed methods that help us to better understand the processes governing the hydrological cycle, aquatic ecosystems and the management and operation of various water infrastructures.

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Future alterations of thermal characteristics in a medium-sized lake simulated by coupling a regional climate model with a lake model

Cited by 16 publications

References 65 publications

glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations

glmGUI v1.0: an R-based graphical user interface and toolbox for GLM (General Lake Model) simulations

glmGUI v1.0: an R-based Geographical User Interface and toolbox for GLM (General Lake Model) simulations

Water research in Germany: from the reconstruction of the Roman Rhine to a risk assessment for aquatic neophytes

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