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《Chinese Journal of Atmospheric Sciences》 2007-06
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Retrieval of Cloud Parameters Using Infrared Hyperspectral Observations

GUAN Li1,XIAO Wen-An1,and HUANG Hung-Lung21 School of Remote Sensing,Nanjing University of Information Science & Technology,Nanjing 2100442 University of Wisconsin,Madison WI 53705,USA  
This paper describes the theory and application of Minimum Local Emissivity Variance(MLEV) technique for simultaneous retrieval of cloud pressure level and effective spectral emissivity from high-spectral resolution radiances,for the case of single-layer clouds.The MLEV algorithm uses a physical approach,in which the local spectral variances of cloud emissivity are calculated for a number of cloud pressure levels.The optimal solution for the single-layer cloud emissivity spectrum is that having the "minimum local emissivity variance" among the retrieved emissivity spectra associated with different first-guess cloud pressure levels.This is due to the fact that the absorption,reflection,and scattering processes of clouds exhibit relatively limited localized spectral emissivity structure in the infrared long wave region.Validation with cloud lidar observations and MODIS cloud products indicates the MLEV algorithm is very effective,especially to mid-high clouds.
【Fund】: 国家自然科学基金资助项目40605009;; 江苏省自然科学基金项目BK2006575
【CateGory Index】: P407
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