Turbulent flux observations and modelling over a shallow lake and a wet grassland in the Nam Co basin,Tibetan Plateau |
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Authors: | Email author" target="_blank">Tobias?BiermannEmail author Wolfgang?Babel Weiqiang?Ma Xuelong?Chen Elisabeth?Thiem Yaoming?Ma Thomas?Foken |
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Institution: | 1.Department of Micrometeorology,University of Bayreuth,Bayreuth,Germany;2.Cold and Arid Regions Environment and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou,China;3.Faculty of Geo-Information Science and Earth Observation,University of Twente,Enschede,The Netherlands;4.Department of Geography,Ludwig-Maximilian University,Munich,Germany;5.Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing,China;6.Member of Bayreuth Center of Ecology and Ecosystem Research (BayCEER),Bayreuth,Germany |
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Abstract: | The Tibetan Plateau plays an important role in the global water cycle and is strongly influenced by climate change. While energy and matter fluxes have been more intensely studied over land surfaces, a large proportion of lakes have either been neglected or parameterised with simple bulk approaches. Therefore, turbulent fluxes were measured over wet grassland and a shallow lake with a single eddy-covariance complex at the shoreline in the Nam Co basin in summer 2009. Footprint analysis was used to split observations according to the underlying surface, and two sophisticated surface models were utilised to derive gap-free time series. Results were then compared with observations and simulations from a nearby eddy-covariance station over dry grassland, yielding pronounced differences. Observations and footprint integrated simulations compared well, even for situations with flux contributions including grassland and lake. The accessibility problem for EC measurements on lakes can be overcome by combining standard meteorological measurements at the shoreline with model simulations, only requiring representative estimates of lake surface temperature. |
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