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《Journal of Glaciology and Geocryology》 2007-03
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A Review on Passive Microwave Remote Sensing of Snow Cover

LI Xin,CHE Tao(Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou Gansu 730000,China)  
The passive microwave remote sensing is the most reliable method to retrieve snow depth and snow water equivalent globally.In this paper,the development of this well-established technology is reviewed.The most accepted and frequently used models of passive microwave remote sensing of snow include the National Aeronautics and Space Administration(NASA) algorithm,Microwave Emission Model of Layered Snowpacks(MEMLS),Helsinki University of Technology(HUT) model,and the snow model derived from the dense medium radiative transfer equation.The theoretical formulations,advantages,disadvantages,and applicabilities of these models are discussed.The evolution of NASA algorithm from Chang's early work to the model that has the ability to quantify the uncertainties resulted from the effects of snow grain size and forest fraction are presented in details.The new emerging snow data assimilation method,which is a promising way to combine the remote sensing and snow modeling information in an optimal sense,is reviewed by introducing a few case studies.The research work on passive microwave remote sensing of snow in China is also reviewed, particularly the efforts to solve the problem of snow depth overestimation on the Tibetan Plateau.
【Fund】: 中国科学院寒区旱区环境与工程研究所知识创新工程项目(2003102);; 中国科学院创新团队国际合作伙伴计划项目(CXTD-Z2005-2);; 国家自然科学基金项目(40601065)资助
【CateGory Index】: TP722.6
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