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一个植被模式的检验和它在陆气相互作用中的应用
引用本文:薛永康,曾凡荣,Adam C. Schlosser,Samon J. Allen.一个植被模式的检验和它在陆气相互作用中的应用[J].大气科学,1998,22(4):575-599.
作者姓名:薛永康  曾凡荣  Adam C. Schlosser  Samon J. Allen
作者单位:1.美国马里兰大学地理系
摘    要:简要介绍了一个植被模式(Simplified Simple Biosphere Model)的发展过程及其在气候研究中的作用。许多观测资料被用来检验和标定这个模式。文中着重介绍了俄罗斯土壤湿度资料和非洲的HAPEX-Sahel观测资料如何帮助我们改进模式和对陆面过程的机制的认识,对观测误差的影响也作了讨论。在地气相互作用中,着重讨论了东亚地气作用的特征。在文中介绍的两个东亚地区的试验中,尽管地面的异常被假设在东亚的两个不同的地区,但都对夏季风传输途径上的降水有很大影响。最后用一个区域模式对陆面模式在预测试验中的应用作了简介。初步的结果显示,这将是一个有很大发展潜力的新领域。

关 键 词:植被模式    模式检验和标定    东亚陆气敏感性试验    气候预测

A Simplified Simple Biosphere Model and Its Application to Land-Atmosphere Interactions
Xue Yongkang,Farong J. Zeng,Adam C. Schlosser and Samon J. Allen.A Simplified Simple Biosphere Model and Its Application to Land-Atmosphere Interactions[J].Chinese Journal of Atmospheric Sciences,1998,22(4):575-599.
Authors:Xue Yongkang  Farong J Zeng  Adam C Schlosser and Samon J Allen
Abstract:The development of a biosphere model, Simplified Simple Biosphere Model (SSiB), and its application in climate studies are briefly described in this paper. SSiB has been validated and calibrated using many observational data. In this paper, the tests using Russian soil moisture data and HAPEX-Sahel data are presented to demonstrate the usefulness of these tests in the elucidation of the mechanisms in land surface processes and the improvement of the model. The influence of observational errors are also discussed. In land surface-atmosphere interaction studies, we mainly discuss the special interaction features in East Asia. In two East Asian studies, although the specified anomaly land forcings from the land surface were in different areas, they both had substantial impact on the summer monsoon. Finally, the application of a coupled regional atmosphere-biosphere model in prediction studies is discussed. Preliminary study indicates that this is a new area with great potential for development.
Keywords:Simplified Simple Biosphere Model  model validation and calibration  sensitivity study of land-atmosphere interaction  climate prediction  
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