Aerosol Type Identification Using PARASOL Multichannel Polarized Data

作     者：FAN Xue-Hua CHEN Hong-Bin 

作者机构：Key Laboratory for Middle Atmosphere and Global Environment ObservationInstitute of Atmospheric PhysicsChinese Academy of Sciences 

出 版 物：《Atmospheric and Oceanic Science Letters》 (大气和海洋科学快报（英文版）)

年 卷 期：2014年第7卷第3期

页      面：224-229页

核心收录：

学科分类：07[理学] 070602[理学-大气物理学与大气环境] 0706[理学-大气科学] 

基　　金：supported by the National Basic Research Program of China (Grant Nos.2010CB950804 and 2013CB955801) the Strategic Priority Research Program-Climate Change:Carbon Budget and Relevant Issues (Grant No.XDA05040202) 

主　　题：aerosol typePARASOLpolarized data support vector machine 

摘      要：PARASOL(Polarization & Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar) multi-channel and multi-directional polarized data for different aerosol types were *** PARASOL polarized radiance data at 490 nm,670 nm,and 865 nm increased with aerosol optical thickness(AOT) for fine-mode aerosols;however,the polarized radiances at 490 nm and 670 nm decreased as AOT increased for coarse dust ***,the variation of the polarized radiance with AOT can be used to identify fine or coarse particle-dominated *** radiances at three wavelengths for fine-and coarse-mode aerosols were analyzed and fitted by linear *** slope of the line for 670 nm and 490 nm wavelength pairs is less than 0.35 for dust ***,the value for fine-mode aerosols is greater than *** Support Vector Machine method(SVM) based on 12 vector features was used to discriminate clear sky,coarse dust aerosols,fine-mode aerosols,and *** cases were given and validated by AErosol RObotic NETwork(AERONET) measurements,MODIS(Moderate Resolution Imaging Spectroradiometer) FMF(Fine Mode Fraction at 550 nm) images,PARASOL RGB(Red Green Blue) images,and CALIOP(Cloud-Aerosol Lidar with Orthogonal Polarization) VFM(Vertical Feature Mask) data.