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Investigation of Turbulence Behaviour in the Stable Boundary Layer Using Arbitrary-Order Hilbert Spectra

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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.

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Notes

  1. For further details regarding CASES-99, refer to the Internet site at http://www.colorado-research.com/cases/CASES-99.html.

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Acknowledgements

This work was jointly funded by grant from National Key Project of MOST (2016YFC0203300), R&D Special Fund for Public Welfare Industry (meteorology) by Ministry of Finance and Ministry of Science and Technology (GYHY201506001), the National Natural Science Foundation of China (91544216, 41475007, 11332006) and the Fundamental Research Funds for the Central Universities (Grant No. 20720150075).

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Authors and Affiliations

  1. State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, People’s Republic of China

    W. Wei

  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

    W. Wei, H. S. Zhang & H. Zhang

  3. Laboratoire d’Oceanologie et de Geosciences, CNRS, Univ. Lille, Univ. Littoral Cote d’Opale, UMR 8187, 62930, Wimereux, France

    F. G. Schmitt

  4. State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, People’s Republic of China

    Y. X. Huang

  5. State Key Joint Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Science, Peking University, Beijing, People’s Republic of China

    X. H. Cai & Y. Song

  6. Institute for Climate and Global Change Research, School of Atmospheric Sciences, Nanjing University, Nanjing, People’s Republic of China

    X. Huang

  7. Collaborative Innovation Center of Climate Change, Nanjing, Jiangsu Province, People’s Republic of China

    X. Huang

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Wei, W., Zhang, H.S., Schmitt, F.G. et al. Investigation of Turbulence Behaviour in the Stable Boundary Layer Using Arbitrary-Order Hilbert Spectra. Boundary-Layer Meteorol 163, 311–326 (2017). https://doi.org/10.1007/s10546-016-0227-9

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