Advanced Search
Article Contents

Simulation and Exploration of the Mechanisms Underlying the Spatiotemporal Distribution of Surface Mixed Layer Depth in a Large Shallow Lake


doi: 10.1007/s00376-012-1262-1

  • The aquatic eco-environment is significantly affected by temporal and spatial variation of the mixed layer depth (MLD) in large shallow lakes. In the present study, we simulated the three-dimensional water temperature of Taihu Lake with an unstructured grid with a finite-volume coastal ocean model (FVCOM) using wind speed, wind direction, short-wave radiation and other meteorological data measured during 13--18 August 2008. The simulated results were consistent with the measurements. The temporal and spatial distribution of the MLD and the possible relevant mechanisms were analyzed on the basis of the water temperature profile data of Taihu Lake. The results indicated that diurnal stratification might be established through the combined effect of the hydrodynamic conditions induced by wind and the heat exchange between air and water. Compared with the net heat flux, the changes of the MLD were delayed approximately two hours. Furthermore, there were significant spatial differences of the MLD in Taihu Lake due to the combined impact of thermal and hydrodynamic forces. Briefly, diurnal stratification formed relatively easily in Gonghu Bay, Zhushan Bay, Xukou Bay and East Taihu Bay, and the surface mixed layer was thin. The center of the lake region had the deepest surface mixed layer due to the strong mixing process. In addition, Meiliang Bay showed a medium depth of the surface mixed layer. Our analysis indicated that the spatial difference in the hydrodynamic action was probably the major cause for the spatial variation of the MLD in Taihu Lake.
  • [1] Liang ZHANG, Bin ZHU, Jinhui GAO, Hanqing KANG, 2017: Impact of Taihu Lake on City Ozone in the Yangtze River Delta, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 226-234.  doi: 10.1007/s00376-016-6099-6
    [2] 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
    [3] LIU Chengyan* and WANG Zhaomin, , 2014: On the Response of the Global Subduction Rate to Global Warming in Coupled Climate Models, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 211-218.  doi: 10.1007/s00376-013-2323-9
    [4] Chengyan LIU, Zhaomin WANG, Bingrui LI, Chen CHENG, Ruibin XIA, 2017: On the Response of Subduction in the South Pacific to an Intensification of Westerlies and Heat Flux in an Eddy Permitting Ocean Model, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 521-531.  doi: 10.1007/s00376-016-6021-2
    [5] 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
    [6] ZHANG Lifeng, WANG Xingbao, ZHANG Ming, 2003: Spatial and Time Structure of a Gravity Wave in Horizontal Atmosphere of Heterogeneous Stratification, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 29-36.  doi: 10.1007/BF03342047
    [7] Ge Ling, Liang Jiaxing, Chen Yiliang, 1996: Spatial / Temporal Features of Antarctic Climate Change, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 375-382.  doi: 10.1007/BF02656854
    [8] GAO Shouting, Xiaofan LI, 2009: Dependence of the Accuracy of Precipitation and Cloud Simulation on Temporal and Spatial Scales, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 1108-1114.  doi: 10.1007/s00376-009-8143-2
    [9] Hengyi Weng, 1992: Spatial and Temporal Variations of Blocking and Cyclogenesis in the 1978 / 79 Winter, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 411-430.  doi: 10.1007/BF02677074
    [10] Fanglin WANG, Wei DU, Shaojun LV, Zhijian DING, Gehui WANG, 2021: Spatial and Temporal Distributions and Sources of Anthropogenic NMVOCs in the Atmosphere of China: A Review, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1085-1100.  doi: 10.1007/s00376-021-0317-6
    [11] 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
    [12] Jiang Weimei, Yu Hongbin, 1994: Study on the Thermal Internal Boundary Layer and Dispersion of Air Pollutant in Coastal Area by Numerical Simulation, ADVANCES IN ATMOSPHERIC SCIENCES, 11, 285-290.  doi: 10.1007/BF02658147
    [13] PENG Jie, ZHANG Hua, Zhanqing LI, 2014: Temporal and Spatial Variations of Global Deep Cloud Systems Based on CloudSat and CALIPSO Satellite Observations, ADVANCES IN ATMOSPHERIC SCIENCES, 31, 593-603.  doi: 10.1007/s00376-013-3055-6
    [14] ZHANG Huan, ZHAI Panmao, 2011: Temporal and Spatial Characteristics of Extreme Hourly Precipitation over Eastern China in the Warm Season, ADVANCES IN ATMOSPHERIC SCIENCES, 28, 1177-1183.  doi: 10.1007/s00376-011-0020-0
    [15] CHEN Bin, XU Xiang-De, YANG Shuai, ZHANG Wei, 2012: On the Temporal and Spatial Structure of Troposphere-to- Stratosphere Transport in the Lowermost Stratosphere over the Asian Monsoon Region during Boreal Summer, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1305-1317.  doi: 10.1007/s00376-012-1171-3
    [16] Xiaofan LI, SHEN Xinyong, 2012: Temporal and Spatial Scale Dependence of Precipitation Analysis over the Tropical Deep Convective Regime, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 1390-1394.  doi: 10.1007/s00376-012-1269-7
    [17] Ting HUA, Xunming WANG, 2018: Temporal and Spatial Variations in the Climate Controls of Vegetation Dynamics on the Tibetan Plateau during 1982-2011, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1337-1346.  doi: 10.1007/s00376-018-7064-3
    [18] Xiaohua XU, Daocheng YU, Jia LUO, 2018: The Spatial and Temporal Variability of Global Stratospheric Gravity Waves and Their Activity during Sudden Stratospheric Warming Revealed by COSMIC Measurements, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 1533-1546.  doi: 10.1007/s00376-018-5053-1
    [19] Bozhen LI, Gen ZHANG, Lingjun XIA, Ping KONG, Mingjin ZHAN, Rui SU, 2020: Spatial and Temporal Distributions of Atmospheric CO2 in East China Based on Data from Three Satellites, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 1323-1337.  doi: 10.1007/s00376-020-0123-6
    [20] 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

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

Simulation and Exploration of the Mechanisms Underlying the Spatiotemporal Distribution of Surface Mixed Layer Depth in a Large Shallow Lake

  • 1. College of Remote Sensing, Nanjing University of Information Science and Technology, Key Laboratory of Meteorological Disaster of Ministry of Education, Nanjing 210044;Yunnan Institute of Metrological Science, Kunming 650034;State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008

Abstract: The aquatic eco-environment is significantly affected by temporal and spatial variation of the mixed layer depth (MLD) in large shallow lakes. In the present study, we simulated the three-dimensional water temperature of Taihu Lake with an unstructured grid with a finite-volume coastal ocean model (FVCOM) using wind speed, wind direction, short-wave radiation and other meteorological data measured during 13--18 August 2008. The simulated results were consistent with the measurements. The temporal and spatial distribution of the MLD and the possible relevant mechanisms were analyzed on the basis of the water temperature profile data of Taihu Lake. The results indicated that diurnal stratification might be established through the combined effect of the hydrodynamic conditions induced by wind and the heat exchange between air and water. Compared with the net heat flux, the changes of the MLD were delayed approximately two hours. Furthermore, there were significant spatial differences of the MLD in Taihu Lake due to the combined impact of thermal and hydrodynamic forces. Briefly, diurnal stratification formed relatively easily in Gonghu Bay, Zhushan Bay, Xukou Bay and East Taihu Bay, and the surface mixed layer was thin. The center of the lake region had the deepest surface mixed layer due to the strong mixing process. In addition, Meiliang Bay showed a medium depth of the surface mixed layer. Our analysis indicated that the spatial difference in the hydrodynamic action was probably the major cause for the spatial variation of the MLD in Taihu Lake.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return