作者:Shi, JC (Shi JianCheng)[ 1,2,3 ] ; Xiong, C (Xiong Chuan)[ 1,2,3 ] ; Jiang, LM (Jiang LingMei)[ 4,5,6 ]

SCIENCE CHINA-EARTH SCIENCES

卷: 59  期: 4  页: 731-745

DOI: 10.1007/s11430-015-5225-0

出版年: APR 2016

摘要

Accurate quantitative global scale snow water equivalent information is crucial for meteorology, hydrology, water cycle and global change studies, and is of great importance for snow melt-runoff forecast, water resources management and flood control. With land surface process model and snow process model, the snow water equivalent can be simulated with certain accuracy, with the forcing data as input. However, the snow water equivalent simulated using the snow process models has large uncertainties spatially and temporally, and it may be far from the needs of practical applications. Thus, the large scale snow water equivalent information is mainly from remote sensing. Beginning with the launch of Nimbus-7 satellite, the research on microwave snow water equivalent remote sensing has developed for more than 30 years, researchers have made progress in many aspects, including the electromagnetic scattering and emission modeling, ground and airborne experiments, and inversion algorithms for future global high resolution snow water equivalent remote sensing program. In this paper, the research and progress in the aspects of electromagnetic scattering/emission modeling over snow covered terrain and snow water equivalent inversion algorithm will be summarized.

通讯作者地址: Shi, JC (通讯作者)

Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

通讯作者地址: Shi, JC (通讯作者)

Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China.

通讯作者地址: Shi, JC (通讯作者)

       Joint Ctr Global Change Studies, Beijing 100101, Peoples R China.

地址:

[ 1 ] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 2 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China

[ 3 ] Joint Ctr Global Change Studies, Beijing 100101, Peoples R China

[ 4 ] Beijing Normal Univ, State Key Lab Remote Sensing Sci, Beijing 100875, Peoples R China

[ 5 ] Beijing Normal Univ, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Chinese Acad Sci,Sch Geog, Beijing 100875, Peoples R China

[ 6 ] Joint Ctr Global Change Studies, Beijing 100875, Peoples R China