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Using the hydrodynamic model DYRESM based on results of a regional climate model to estimate water temperature changes at Lake Ammersee

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  • Weinberger, Stefan
  • Vetter, Mark

Abstract

In order to enhance our research work on the impact of climate change on bodies of water, it is necessary to establish coupled hydrodynamic and ecosystem models that take into account simulated data of climate models. We assume that the coupled hydrodynamic models, along with the regional climate models, can serve to gain further knowledge on the future climatic impact upon lake ecosystems. For this purpose we use the one-dimensional hydrodynamic model DYRESM and the regional climate model REMO and apply them to the pre-Alpine, 83-m deep, currently dimictic Lake Ammersee. The objectives of this study are to calibrate and validate the model DYRESM in order to simulate the vertical thermal distribution in Lake Ammersee and to prepare bias-corrected meteorological data from the model REMO (IPCC A1B scenario) to establish a first hydrodynamic simulation run for the period 2040–2050. The IPCC A1B emission scenario, which assumes a balanced use of all available energy sources in the world, predicts the global mean temperature to increase by about 3K from 1990 to the year 2100. To calibrate and validate the model DYRESM carefully, we used date from 2004–2007 and 1993–1999. When comparing simulated and measured water temperatures regarding the calibration period, we observed small mean absolute errors (0.96–1.61K) and root mean square errors (1.42–1.96K), as well as high coefficients of determination (0.71–0.96) at all depths. We conclude that the hydrodynamic model can be used to identify potential drawbacks of climate change (e.g. extended duration of stratification, higher thermal stability, lack of mixing) on the lake ecosystem by higher water temperatures. In addition this modelling provides the basis for coupled aquatic ecological models.

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  • Weinberger, Stefan & Vetter, Mark, 2012. "Using the hydrodynamic model DYRESM based on results of a regional climate model to estimate water temperature changes at Lake Ammersee," Ecological Modelling, Elsevier, vol. 244(C), pages 38-48.
  • Handle: RePEc:eee:ecomod:v:244:y:2012:i:c:p:38-48
    DOI: 10.1016/j.ecolmodel.2012.06.016
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    References listed on IDEAS

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    1. Chao, Xiaobo & Jia, Yafei & Shields, F. Douglas & Wang, Sam S.Y. & Cooper, Charles M., 2007. "Numerical modeling of water quality and sediment related processes," Ecological Modelling, Elsevier, vol. 201(3), pages 385-397.
    2. Burger, David F. & Hamilton, David P. & Pilditch, Conrad A., 2008. "Modelling the relative importance of internal and external nutrient loads on water column nutrient concentrations and phytoplankton biomass in a shallow polymictic lake," Ecological Modelling, Elsevier, vol. 211(3), pages 411-423.
    3. Gal, G. & Hipsey, M.R. & Parparov, A. & Wagner, U. & Makler, V. & Zohary, T., 2009. "Implementation of ecological modeling as an effective management and investigation tool: Lake Kinneret as a case study," Ecological Modelling, Elsevier, vol. 220(13), pages 1697-1718.
    4. Trolle, Dennis & Skovgaard, Henrik & Jeppesen, Erik, 2008. "The Water Framework Directive: Setting the phosphorus loading target for a deep lake in Denmark using the 1D lake ecosystem model DYRESM–CAEDYM," Ecological Modelling, Elsevier, vol. 219(1), pages 138-152.
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    1. Hetherington, Amy Lee & Schneider, Rebecca L. & Rudstam, Lars G. & Gal, Gideon & DeGaetano, Arthur T. & Walter, M. Todd, 2015. "Modeling climate change impacts on the thermal dynamics of polymictic Oneida Lake, New York, United States," Ecological Modelling, Elsevier, vol. 300(C), pages 1-11.
    2. Read, Jordan S. & Winslow, Luke A. & Hansen, Gretchen J.A. & Van Den Hoek, Jamon & Hanson, Paul C. & Bruce, Louise C. & Markfort, Corey D., 2014. "Simulating 2368 temperate lakes reveals weak coherence in stratification phenology," Ecological Modelling, Elsevier, vol. 291(C), pages 142-150.
    3. Laura Melo Vieira Soares & Maria Calijuri & Talita Fernanda Silva & Evlyn Marcia Leão Novo, 2021. "Climate change enhances deepwater warming of subtropical reservoirs: evidence from hydrodynamic modelling," Climatic Change, Springer, vol. 166(1), pages 1-19, May.

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