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多圈层陆面过程参数化研究中遥感信息应用的进展和方向
引用本文:张佳华,徐祥德,延晓冬,毛飞.多圈层陆面过程参数化研究中遥感信息应用的进展和方向[J].应用气象学报,2003,14(6):745-755.
作者姓名:张佳华  徐祥德  延晓冬  毛飞
作者单位:1.中国气象科学研究院, 北京 100081
基金项目:中国科学院知识创新工程重大项目 (KZCX1 SW 0 1 1 1 ),国家自然科学基金 (3 0 3 70 81 4)科技部“西北地区生态气候环境监测预测方法”,教育部留学回国基金,中国气象科学研究院博士后基金资助
摘    要:近年来遥感技术的发展为多圈层中陆面过程和边界层研究提供了有力的工具。文章分析了目前用于陆面过程参数化研究的重要遥感信息源。并评述遥感信息在陆面过程参数化研究中的基本应用和存在问题,最后,提出发展方向和展望。

关 键 词:遥感信息    陆面过程参数化    能量    水分    生物地球学循环
收稿时间:2002-01-20
修稿时间:2002年1月20日

The Advances and Development of Remote Sensing Applications to Land Surface Process Parameterization
Zhang Jiahua , Xu Xiangde Yan Xiaodong Mao Fei.The Advances and Development of Remote Sensing Applications to Land Surface Process Parameterization[J].Quarterly Journal of Applied Meteorology,2003,14(6):745-755.
Authors:Zhang Jiahua  Xu Xiangde Yan Xiaodong Mao Fei
Affiliation:1.Chinese Academy of Meteorological Sciences, Beijing 1000812.Key Lab of Regional Climate-Environment for East Asia, Chinese Academy of Sciences, Beijing 100029
Abstract:Recent years, many meteorologists and climatologists pay more attention to land surface condition, which effects on the changes of heat, water and matter between land surface vegetation and climate in the condition of global climate change. On the one hand, it is widely recognized that there is a close relationship between climate and terrestrial ecosystem in global scale; the climate variations have significant impact on the vegetation distributional pattern and its growing rate and development. On the other hand, the global vegetation has a prominent feedback on climate through surface roughness length, albedo, and evapotranspiration. The development of AGCM and Regional Climate Model (RCM) plays an important role for us to understand the relationship between climate change and terrestrial ecosystems change. In these models, many key biophysical parameters are required to act as input variables for each model runs. However, over past few years' studies suggest that the spatial distribution patterns for some input biophysical parameters (e.g. LAI, canopy conductance of water vapor and CO 2 etc.) and relationship with bio-climate are obscure. These conditions affect the simulating precision to a great extent. Hence, it is essential to carry out the studies of parameters derived from spatial satellite data. At present, the development of remote sensing technology has provided a useful tool to study the land surface eco-process. In the current research, the important remote sensing information data used to study land surface process are analyzed. Then, the main applications of remote sensing information to land surface process parameterization are reviewed. Finally, the main problem and development of remote sensing information used in land surface process parameterization are discussed.
Keywords:Remote sensing information Land surface process parameterization Energy Moisture Biogeochemical cycles
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