Advanced Search
Article Contents

Eddy Covariance Tilt Corrections over a Coastal Mountain Area in South-east China: Significance for Near-Surface Turbulence Characteristics


doi: 10.1007/s00376-012-1052-9

  • Turbulence characteristics of an atmospheric surface layer over a coastal mountain area were investigated under different coordinate frames. Performances of three methods of coordinate rotation: double rotation (DR), triple rotation (TR), and classic planar-fit rotation (PF) were examined in terms of correction of eddy covariance flux. Using the commonly used DR and TR methods, unreasonable rotation angles are encountered at low wind speeds and cause significant run-to-run errors of some turbulence characteristics. The PF method rotates the coordinate system to an ensemble-averaged plane, and shows large tilt error due to an inaccurate fit plane over variable terrain slopes. In this paper, we propose another coordinate rotation scheme. The observational data were separated into two groups according to wind direction. The PF method was adapted to find an ensemble-averaged streamline plane for each group of hourly runs with wind speed exceeding 1.0 m s-1. Then, the coordinate systems were rotated to their respective best-fit planes for all available hourly observations. We call this the PF10 method. The implications of tilt corrections for the turbulence characteristics are discussed with a focus on integral turbulence characteristics, the spectra of wind-velocity components, and sensible heat and momentum fluxes under various atmospheric stabilities. Our results show that the adapted application of PF provides greatly improved estimates of integral turbulence characteristics in complex terrain and maintains data quality. The comparisons of the sensible heat fluxes for four coordinate rotation methods to fluxes before correction indicate that the PF10 scheme is the best to preserve consistency between fluxes.
  • [1] Qiwei WANG, Yi ZHANG, Kefeng ZHU, Zhemin TAN, Ming XUE, 2021: A Case Study of the Initiation of Parallel Convective Lines Back-Building from the South Side of a Mei-yu Front over Complex Terrain, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 717-736.  doi: 10.1007/s00376-020-0216-2
    [2] WANG Runyuan, ZHANG Qiang, 2011: An Assessment of Storage Terms in the Surface Energy Balance of a Subalpine Meadow in Northwest China, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 691-698.  doi: 10.1007/s00376-010-9152-x
    [3] Na LI, Lingkun RAN, Dongdong SHEN, Baofeng JIAO, 2021: An Experiment on the Prediction of the Surface Wind Speed in Chongli Based on the WRF Model: Evaluation and Calibration, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 845-861.  doi: 10.1007/s00376-021-0201-4
    [4] Peter SHERIDAN, Anlun XU, Jian LI, Kalli FURTADO, 2023: Use of Targeted Orographic Smoothing in Very High Resolution Simulations of a Downslope Windstorm and Rotor in a Sub-tropical Highland Location, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 2043-2062.  doi: 10.1007/s00376-023-2298-0
    [5] Lang ZHANG, Yaoming MA, Weiqiang MA, Binbin WANG, 2018: Comparison of Different Generation Mechanisms of Free Convection between Two Stations on the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1137-1144.  doi: 10.1007/s00376-018-7195-6
    [6] Xia LI, Keming ZHAO, Shiyuan ZHONG, Xiaojing YU, Zhimin FENG, Yuting ZHONG, Ayitken MAULEN, Shuting LI, 2023: Evolution of Meteorological Conditions during a Heavy Air Pollution Event under the Influence of Shallow Foehn in Urumqi, China, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 29-43.  doi: 10.1007/s00376-022-1422-x
    [7] WANG Shaoying, ZHANG Yu, LU Shihua, LIU Heping, SHANG Lunyu, 2013: Estimation of Turbulent Fluxes Using the Flux-Variance Method over an Alpine Meadow Surface in the Eastern Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 411-424.  doi: 10.1007/s00376-012-2056-1
    [8] Jia Xinyuan, 1997: The Effect of Mesoscale Flows on Regional Atmospheric Transport in a Complex Terrain, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 535-540.  doi: 10.1007/s00376-997-0071-4
    [9] Li Xin, Hu Fei, Liu Gang, Hong Zhongxiang, 2001: Multi-scale Fractal Characteristics of Atmospheric Boundary-Layer Turbulence, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 787-792.
    [10] Li Xin, Hu Fei, Pu Yifen, M.H.Al-Jiboori, Hu Zhaoxia, Hong Zhongxiang, 2002: Identification of Coherent Structures of Turbulence at the Atmospheric Surface Layer, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 687-698.  doi: 10.1007/s00376-002-0008-x
    [11] Liu Shida, Liu Shikuo, Xin Guojun, Liang Fuming, 1994: The Theoretical Model of Atmospheric Turbulence Spectrum in Surface Layer, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 408-414.  doi: 10.1007/BF02658160
    [12] Dongxiao WANG, Guojing LI, Lian SHEN, Yeqiang SHU, 2022: Influence of Coriolis Parameter Variation on Langmuir Turbulence in the Ocean Upper Mixed Layer with Large Eddy Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1487-1500.  doi: 10.1007/s00376-021-1390-6
    [13] Ying ZHANG, Zhiyong MENG, Peijun ZHU, Tao SU, Guoqing ZHAI, 2016: Mesoscale Modeling Study of Severe Convection over Complex Terrain, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1259-1270.  doi: 10.1007/s00376-016-5221-0
    [14] Liu Huizhi, Zhang Hongsheng, Bian Lin'gen, Chen Jiayi, Zhou Mingyu, Xu Xiangde, Li Shiming, Zhao Yijun, 2002: Characteristics of Micrometeorology in the Surface Layer in the Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 73-88.  doi: 10.1007/s00376-002-0035-7
    [15] GAO Zhiqiu, BIAN Lingen, CHEN Zhigang, Michael SPARROW, ZHANG Jiahua, 2006: Turbulent Variance Characteristics of Temperature and Humidity over a Non-uniform Land Surface for an Agricultural Ecosystem in China, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 365-374.  doi: 10.1007/s00376-006-0365-y
    [16] ZHONG Zhong, ZHAO Ming, SU Bingkai, TANG Jianping, 2003: On the Determination and Characteristics of Effective Roughness Length for Heterogeneous Terrain, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 71-76.  doi: 10.1007/BF03342051
    [17] BIAN Lingen, XU Xiangde, LU Longhua, GAO Zhiqiu, ZHOU Mingyu, LIU Huizhi, 2003: Analyses of Turbulence Parameters in the Near-Surface Layer at Qamdo of the Southeastern Tibetan Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 369-378.  doi: 10.1007/BF02690795
    [18] HAN Bo, LU Shihua, AO Yinhuan, 2010: Analysis on the Interaction between Turbulence and Secondary Circulation of the Surface Layer at Jinta Oasis in Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 605-620.  doi: 10.1007/s00376-009-9015-5
    [19] CHEN Hong, LIN Zhaohui, 2006: A Correction Method Suitable for Dynamical Seasonal Prediction, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 425-430.  doi: 10.1007/s00376-006-0425-3
    [20] YUE Ping, ZHANG Qiang, WANG Runyuan, LI Yaohui, WANG Sheng, 2015: Turbulence Intensity and Turbulent Kinetic Energy Parameters over a Heterogeneous Terrain of Loess Plateau, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 1291-1302.  doi: 10.1007/s00376-015-4258-9

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 November 2012
Manuscript revised: 10 November 2012
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Eddy Covariance Tilt Corrections over a Coastal Mountain Area in South-east China: Significance for Near-Surface Turbulence Characteristics

  • 1. School of Atmospheric Sciences, Nanjing University, Nanjing 210093, Guizhou Key Laboratory of Mountainous Climate and Resources, Guiyang 550002;School of Atmospheric Sciences, Nanjing University, Nanjing 210093;Institute of Microorganism Epidemic, Academy of Military Medical Sciences, Beijing 100071;School of Environment, Nanjing University, Nanjing 210093;School of Atmospheric Sciences, Nanjing University, Nanjing 210093;School of Atmospheric Sciences, Nanjing University, Nanjing 210093;School of Atmospheric Sciences, Nanjing University, Nanjing 210093

Abstract: Turbulence characteristics of an atmospheric surface layer over a coastal mountain area were investigated under different coordinate frames. Performances of three methods of coordinate rotation: double rotation (DR), triple rotation (TR), and classic planar-fit rotation (PF) were examined in terms of correction of eddy covariance flux. Using the commonly used DR and TR methods, unreasonable rotation angles are encountered at low wind speeds and cause significant run-to-run errors of some turbulence characteristics. The PF method rotates the coordinate system to an ensemble-averaged plane, and shows large tilt error due to an inaccurate fit plane over variable terrain slopes. In this paper, we propose another coordinate rotation scheme. The observational data were separated into two groups according to wind direction. The PF method was adapted to find an ensemble-averaged streamline plane for each group of hourly runs with wind speed exceeding 1.0 m s-1. Then, the coordinate systems were rotated to their respective best-fit planes for all available hourly observations. We call this the PF10 method. The implications of tilt corrections for the turbulence characteristics are discussed with a focus on integral turbulence characteristics, the spectra of wind-velocity components, and sensible heat and momentum fluxes under various atmospheric stabilities. Our results show that the adapted application of PF provides greatly improved estimates of integral turbulence characteristics in complex terrain and maintains data quality. The comparisons of the sensible heat fluxes for four coordinate rotation methods to fluxes before correction indicate that the PF10 scheme is the best to preserve consistency between fluxes.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return