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《Journal of University of Chinese Academy of Sciences》 2015-01
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Estimation model of the atmospheric parameters in the research of quantitative microwave remote sensing

ZHOU Fangcheng;SONG Xiaoning;LI Zhaoliang;MA Jianwei;College of Resources and Environment,University of Chinese Academy of Sciences;Institute of Agricultural Resources and Regional Planning,CAAS;China Institute of Water Resources and Hydropower Research;  
Usually,atmospheric effects on microwave remote sensing are ignored because of the penetration of microwave. However,for quantitative inversion in which high precision inversion is required,atmospheric effects should be taken into account. Based on the radiative transfer model,three atmospheric parameters,upwelling and downwelling atmospheric brightness temperature and atmospheric transmissivity,were proved to be much influenced by precipitable water vapor. The MonoRTM and 946 global atmospheric profiles were used to simulate these atmospheric parameters.Then we got regression models for PWV( precipitable water vapor) and atmospheric brightness temperatures and for PWV and atmospheric transmissivity, respectively. Finally, Zhangye radiosonde data sets were used to validate the models,and verification results showed that the estimation models had high credibility.
【Fund】: 国家自然科学基金(41231170);; 中国科学院西部行动计划项目(KZCX2-XB3-15)资助
【CateGory Index】: P407.7
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