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Water 2018, 10(5), 594;

Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake

UFZ, Helmholtz Centre for Environmental Research, Department of Lake Research, Brückstraße 3 a, D-39114 Magdeburg, Germany
Australian Rivers Institute, Griffith University, 170 Kessels Rd, Nathan, QLD 4111, Australia
Leibniz Institute for Baltic Sea Research, Seestraße 15, D-18119 Rostock-Warnemünde, Germany
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
Department of Mathematics, University of Hamburg, Bundesstraße 55, D-20146 Hamburg, Germany
Author to whom correspondence should be addressed.
Received: 4 March 2018 / Revised: 26 April 2018 / Accepted: 1 May 2018 / Published: 3 May 2018
(This article belongs to the Section Hydraulics)
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In lakes and reservoirs, physical processes control temperature dynamics and stratification, which are important determinants of water quality. In large lakes, even extensive monitoring programs leave some of the patterns undiscovered and unresolved. Lake models can complement measurements in higher spatial and temporal resolution. These models require a set of driving data, particularly meteorological input data, which are compulsory to the models but at many locations not available at the desired scale or quality. It remains an open question whether these meteorological input data can be acquired in a sufficient quality by employing atmospheric models. In this study, we used the European Centre for Medium-Range Weather Forecasts’ (ECMWF) ERA-Interim atmospheric reanalysis data as meteorological forcing for the three-dimensional hydrodynamic General Estuarine Transport Model (GETM). With this combination, we modelled the spatio-temporal variation in water temperature in the large, shallow Lake Chaohu, China. The model succeeded in reproducing the seasonal patterns of cooling and warming. While the model did predict diurnal patterns, these patterns were not precise enough to correctly estimate the extent of short stratification events. Nevertheless, applying reanalysis data proved useful for simulating general patterns of stratification dynamics and seasonal thermodynamics in a large shallow lake over the year. Utilising reanalysis data together with hydrodynamic models can, therefore, inform about water temperature dynamics in the respective water bodies and, by that, complement local measurements. View Full-Text
Keywords: GETM; Lake Chaohu; ERA-Interim; three-dimensional hydrodynamic modelling; stratification GETM; Lake Chaohu; ERA-Interim; three-dimensional hydrodynamic modelling; stratification

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Frassl, M.A.; Boehrer, B.; Holtermann, P.L.; Hu, W.; Klingbeil, K.; Peng, Z.; Zhu, J.; Rinke, K. Opportunities and Limits of Using Meteorological Reanalysis Data for Simulating Seasonal to Sub-Daily Water Temperature Dynamics in a Large Shallow Lake. Water 2018, 10, 594.

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