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A Numerical Case Study of the Implications of Secondary Circulations to the Interpretation of Eddy-Covariance Measurements Over Small Lakes
Authors:William T Kenny  Gil Bohrer  Timothy H Morin  Chris S Vogel  Ashley M Matheny  Ankur R Desai
Institution:1.State Key Laboratory of Severe Weather,Chinese Academy of Meteorological Sciences,Beijing,People’s Republic of China;2.Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics,Peking University,Beijing,People’s Republic of China;3.Laboratoire d’Oceanologie et de Geosciences,CNRS, Univ. Lille, Univ. Littoral Cote d’Opale, UMR 8187,Wimereux,France;4.State Key Laboratory of Marine Environmental Science,Xiamen University,Xiamen,People’s Republic of China;5.State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science,Peking University,Beijing,People’s Republic of China;6.Institute for Climate and Global Change Research, School of Atmospheric Sciences,Nanjing University,Nanjing,People’s Republic of China;7.Collaborative Innovation Center of Climate Change,Nanjing,People’s Republic of China
Abstract:The CASES-99 experimental data are used to analyze turbulence behaviour under a range of stable conditions using an adaptive method based on Hilbert spectral analysis. The characteristic scales of intrinsic mode functions vary between different stratifications. The second-order Hilbert marginal spectra display clear separation between fine-scale turbulence and large-scale motions. After removing the large-scale motions, the statistical characteristics of the reconstructed signals confirm the distinction of different stratifications in the fine-scale range. The correlation coefficient analyses reveal that the Hilbert spectral analysis method separates turbulence from large-scale motions in the stable boundary layer.
Keywords:
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