Advanced Search
Impact Factor: 5.8

Volume 25 Issue 2

Mar.  2008

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2008 >  25(2): 253-266

Deduction of the Sensible Heat Flux from SODAR Data

  • 1.

    Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871;Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871


doi: 10.1007/s00376-008-0253-8

  • A new method for deduction of the sensible heat flux is validated with three sets of published SODAR (sound detection and ranging) data. Although the related expressions have previously been confirmed by the author with surface layer data, they have not yet been validated with observations from the boundary layer before this work. In the study, selected SODAR data are used to test the method for the convective boundary layer. The sensible heat flux (SHF) retrieved from SODAR data is found to decrease linearly with height in the mixed layer. The surface sensible heat fluxes derived from the deduced sensible heat flux profiles under convective conditions agree well with those measured by the eddy correlation method. The characteristics of SHF profiles deduced from SODAR data in different places reflect the background meteorology and terrain. The upper part of the SHF profile (SHFP) for a complicated terrain is found to have a different slope from the lower part. It is suggested that the former reflects the advective characteristic of turbulence in upwind topography. A similarity relationship for the estimation of SHFP in a well mixed layer with surface SHF and zero-heat-flux layer height is presented.
  • [1] Ying NA, Riyu LU, Bing LU, Min CHEN, Shiguang MIAO, 2019: Impact of the Horizontal Heat Flux in the Mixed Layer on an Extreme Heat Event in North China: A Case Study, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 133-142.  doi: 10.1007/s00376-018-8133-3
    [2] GAO Zhiqiu, BIAN Lingen, WANG Jinxing, LU Longhua, 2003: Discussion on Calculation Methods of Sensible Heat Flux during GAME/Tibet in 1998, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 357-368.  doi: 10.1007/BF02690794
    [3] Qinyu LIU, Yiqun LU, 2016: Role of Horizontal Density Advection in Seasonal Deepening of the Mixed Layer in the Subtropical Southeast Pacific, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 442-451.  doi: 10.1007/s00376-015-5111-x
    [4] ZHOU Lian-Tong, HUANG Ronghui, 2010: An Assessment of the Quality of Surface Sensible Heat Flux Derived from Reanalysis Data through Comparison with Station Observations in Northwest China, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 500-512.  doi: 10.1007/s00376-009-9081-8
    [5] Zhu Jiang, Wang Hui, Masafumi Kamachi, 2002: The Improvement Made by a Modified TLM in 4DVAR with a Geophysical Boundary Layer Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 563-582.  doi: 10.1007/s00376-002-0001-4
    [6] Lujun XU, Huizhi LIU, Qun DU, Yang LIU, Jihua SUN, Anlun XU, Xiaoni MENG, 2021: Characteristics of Lake Breezes and Their Impacts on Energy and Carbon Fluxes in Mountainous Areas, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 603-614.  doi: 10.1007/s00376-020-0298-x
    [7] NING Liang, QIAN Yongfu, 2009: Interdecadal Change in Extreme Precipitation over South China and Its Mechanism, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 109-118.  doi: 10.1007/s00376-009-0109-x
    [8] TANG Yanbing, 2004: Connections between Surface Sensible Heat Net Flux and Regional Summer Precipitation over China, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 897-908.  doi: 10.1007/BF02915592
    [9] Haoxin ZHANG, Weiping LI, Weijing LI, 2019: Influence of Late Springtime Surface Sensible Heat Flux Anomalies over the Tibetan and Iranian Plateaus on the Location of the South Asian High in Early Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 93-103.  doi: 10.1007/s00376-018-7296-2
    [10] Long Baosen, 1989: The Latent and Sensible Heat Fluxes over the Western Tropical Pacific and Its Relationship to ENSO, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 467-474.  doi: 10.1007/BF02659080
    [11] SUN Jianning, JIANG Weimei, CHEN Ziyun, YUAN Renmin, 2005: Parameterization for the Depth of the Entrainment Zone above the Convectively Mixed Layer, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 114-121.  doi: 10.1007/BF02930874
    [12] P.C. Chu, Roland W. Garwood, Jr., 1990: Thermodynamic Feedback between Clouds and the Ocean Surface Mixed Layer, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 1-10.  doi: 10.1007/BF02919163
    [13] GUO Xiaofeng, ZHANG Hongsheng, CAI Xuhui, KANG Ling, LI Wanbiao, DU Jinlin, 2007: Discrepancy and Applicability of Various Similarity Functions in Flux Calculations Under Stable Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 644-654.  doi: 10.1007/s00376-007-0644-2
    [14] ZHU Jieshun, SUN Zhaobo, ZHOU Guangqing, 2007: A Note on the Role of Meridional Wind Stress Anomalies and Heat Flux in ENSO Simulations, ADVANCES IN ATMOSPHERIC SCIENCES, 24, 729-738.  doi: 10.1007/s00376-007-0729-y
    [15] Lei LIU, Guihua WANG, Ze ZHANG, Huizan WANG, 2022: Effects of Drag Coefficients on Surface Heat Flux during Typhoon Kalmaegi (2014), ADVANCES IN ATMOSPHERIC SCIENCES, 39, 1501-1518.  doi: 10.1007/s00376-022-1285-1
    [16] PENG Guliang, CAI Xuhui, ZHANG Hongsheng, LI Aiguo, HU Fei, Monique Y. LECLERC, 2008: Heat Flux Apportionment to Heterogeneous Surfaces\\[.1cm] Using Flux Footprint Analysis, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 107-116.  doi: 10.1007/s00376-008-0107-4
    [17] ZHAO Qiaohua, SUN Jihua, ZHU Guangwei, 2012: Simulation and Exploration of the Mechanisms Underlying the Spatiotemporal Distribution of Surface Mixed Layer Depth in a Large Shallow Lake, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1360-1373.  doi: 10.1007/s00376-012-1262-1
    [18] Ruosi ZHANG, Shang-Ping XIE, Lixiao XU, Qinyu LIU, 2016: Changes in Mixed Layer Depth and Spring Bloom in the Kuroshio Extension under Global Warming, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 452-461.  doi: 10.1007/s00376-015-5113-8
    [19] Xiang LI, Tiejun LING, Yunfei ZHANG, Qian ZHOU, 2018: A 31-year Global Diurnal Sea Surface Temperature Dataset Created by an Ocean Mixed-Layer Model, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1443-1454.  doi: 10.1007/s00376-018-8016-7
    [20] 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
PDF

Get Citation+

shu
Export:  

Share Article

Article Metrics

Article Views: 1413 Times

PDF downloads: 1277 Times

Cited by: Times
  • 加载中

    • Manuscript History

    Manuscript received: 10 March 2008
    Manuscript revised: 10 March 2008
    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

    Deduction of the Sensible Heat Flux from SODAR Data

    • 1. Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871;Department of Atmospheric Sciences, School of Physics, Peking University, Beijing 100871
    • Manuscript received: 2008-03-10
    • Manuscript revised: 2008-03-10

    Abstract: A new method for deduction of the sensible heat flux is validated with three sets of published SODAR (sound detection and ranging) data. Although the related expressions have previously been confirmed by the author with surface layer data, they have not yet been validated with observations from the boundary layer before this work. In the study, selected SODAR data are used to test the method for the convective boundary layer. The sensible heat flux (SHF) retrieved from SODAR data is found to decrease linearly with height in the mixed layer. The surface sensible heat fluxes derived from the deduced sensible heat flux profiles under convective conditions agree well with those measured by the eddy correlation method. The characteristics of SHF profiles deduced from SODAR data in different places reflect the background meteorology and terrain. The upper part of the SHF profile (SHFP) for a complicated terrain is found to have a different slope from the lower part. It is suggested that the former reflects the advective characteristic of turbulence in upwind topography. A similarity relationship for the estimation of SHFP in a well mixed layer with surface SHF and zero-heat-flux layer height is presented.

      HTML

    Catalog

      Publish with AAS

      Contact us

      Links

      Copyright © 2018-2028 ADVANCES IN ATMOSPHERIC SCIENCES 京ICP备14024088号-7

      Supported by: Beijing Renhe Information Technology Co. Ltd  support: info@rhhz.net  

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return