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Volume 18 Issue 5

Sep.  2001

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Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2001 >  18(5): 910-928

A Sensitivity Study on Parameterization Scheme of Snow Internal and Interfacial Processes in Snow Model

  • 1.

    LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029

  • In order to develop a seasonal snow model of land surface process as accurately as possible for climatic study, it is necessary to fully understand the effects of important snow internal processes and interaction with air and to get an insight into influence of several relevant parameterization schemes with parameters＇ uncertainty to some degree. Using the snow model (SAST) developed by first author and other one and some useful field observation data, this paper has conducted a series of sensitivity studies on the parameterization schemes. They are relative to compaction process, snow thermal conduction, methodology of layering snow pack and to key parameters such as snow albedo, water holding capacity. Then, based on the results from the sensitivity studies, some useful conclusions for snow cover model improvement are ob tained from the analysis of the results.
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    [2] Min Dong, Qin Xu, 1996: A Sensitivity Study of Single Column Model, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 313-324.  doi: 10.1007/BF02656849
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    [5] PING Fan, GAO Shouting, WANG Huijun, 2003: An Improvement of the Mass Flux Convection Parameterization Scheme and its Sensitivity Tests for Seasonal Prediction over China, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 978-990.  doi: 10.1007/BF02915521
    [6] Zhang Yu, Lu Shihua, 2002: Development and Validation of a Simple Frozen Soil Parameterization Scheme Used for Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 513-527.  doi: 10.1007/s00376-002-0083-z
    [7] Meiying DONG, Chunxiao JI, Feng CHEN, Yuqing WANG, 2019: Numerical Study of Boundary Layer Structure and Rainfall after Landfall of Typhoon Fitow (2013): Sensitivity to Planetary Boundary Layer Parameterization, ADVANCES IN ATMOSPHERIC SCIENCES, 36, 431-450.  doi: 10.1007/s00376-018-7281-9
    [8] LIU Yongqiang, HE Qing, ZHANG Hongsheng, Ali MAMTIMIN, 2012: Improving the CoLM in Taklimakan Desert Hinterland with Accurate Key Parameters and an Appropriate Parameterization Scheme, ADVANCES IN ATMOSPHERIC SCIENCES, 29, 381-390.  doi: 10.1007/s00376-011-1068-6
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    [10] LIU Shuhua, YUE Xu, LIU Huizhi, HU Fei, 2004: Using a Modified Soil-Plant-Atmosphere Scheme (MSPAS) to Study the Sensitivity of Land Surface and Boundary Layer Processes to Soil and Vegetation Conditions, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 717-729.  doi: 10.1007/BF02916369
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    [12] ZHOU Yang, JIANG Jing, Youyu LU, and HUANG Anning, 2013: Revealing the effects of the El Nio-Southern oscillation on tropical cyclone intensity over the western North Pacific from a model sensitivity study, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 1117-1128.  doi: 10.1007/s00376-012-2109-5
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    • Manuscript History

    Manuscript received: 10 September 2001
    Manuscript revised: 10 September 2001
    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

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    A Sensitivity Study on Parameterization Scheme of Snow Internal and Interfacial Processes in Snow Model

    • 1. LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029,LASG, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029
    • Manuscript received: 2001-09-10
    • Manuscript revised: 2001-09-10

    Abstract: In order to develop a seasonal snow model of land surface process as accurately as possible for climatic study, it is necessary to fully understand the effects of important snow internal processes and interaction with air and to get an insight into influence of several relevant parameterization schemes with parameters＇ uncertainty to some degree. Using the snow model (SAST) developed by first author and other one and some useful field observation data, this paper has conducted a series of sensitivity studies on the parameterization schemes. They are relative to compaction process, snow thermal conduction, methodology of layering snow pack and to key parameters such as snow albedo, water holding capacity. Then, based on the results from the sensitivity studies, some useful conclusions for snow cover model improvement are ob tained from the analysis of the results.

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