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Volume 21 Issue 4

Jul.  2004

Article Contents
Article >  ADVANCES IN ATMOSPHERIC SCIENCES  > 2004 >  21(4): 547-556

Validation of SSiB Model over Grassland with CHeRES Field Experiment Data in 2001

  • 1.

    Chinese Academy of Meteorological Sciences, Beijing 100081,Department of Geography, University of California, Los Angeles


doi: 10.1007/BF02915722

  • The Simplified Simple Biosphere model (SSiB) is validated in off-line simulations against field measurements in the summer of 2001 from the China Heavy Rainfall Experiment and Study (CHeRES) over a grassland site located in the lower reaches of the Yangtze River. When initialized and driven by the observed atmospheric forcing, the model reproduced the observed surface heat fluxes and surface skin temperature realistically. The model was also able to well simulate the variation of soil water content. The sensitivity experiments found that the leaf reflectance was the most significant parameter in improving the estimation of surface albedo during both wet and dry periods. This study suggests that the model is capable of simulating the physical processes and of assessing the impact of biophysical parameters that relate to land-atmosphere interactions over the eastern Asian monsoon regions, which is crucial for mesoscale atmospheric models.
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    • Manuscript History

    Manuscript received: 10 July 2004
    Manuscript revised: 10 July 2004
    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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    Validation of SSiB Model over Grassland with CHeRES Field Experiment Data in 2001

    • 1. Chinese Academy of Meteorological Sciences, Beijing 100081,Department of Geography, University of California, Los Angeles
    • Manuscript received: 2004-07-10
    • Manuscript revised: 2004-07-10

    Abstract: The Simplified Simple Biosphere model (SSiB) is validated in off-line simulations against field measurements in the summer of 2001 from the China Heavy Rainfall Experiment and Study (CHeRES) over a grassland site located in the lower reaches of the Yangtze River. When initialized and driven by the observed atmospheric forcing, the model reproduced the observed surface heat fluxes and surface skin temperature realistically. The model was also able to well simulate the variation of soil water content. The sensitivity experiments found that the leaf reflectance was the most significant parameter in improving the estimation of surface albedo during both wet and dry periods. This study suggests that the model is capable of simulating the physical processes and of assessing the impact of biophysical parameters that relate to land-atmosphere interactions over the eastern Asian monsoon regions, which is crucial for mesoscale atmospheric models.

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