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《Chinese Journal of Geophysics》 2019-01
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VIIRS aerosol opticaldepth(AOD) retrieval algorithm improvement in eastern China

WANG Yang;CHEN LiangFu;LI ShenShen;WANG XinHui;YU Chao;FAN Meng;State Key Laboratory of Remote Sensing Science,Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences;University of the Chinese Academy of Sciences;Beijing Municipal Environmental Monitoring Centre;  
As the MODIS(MODerate resolution Imaging Spectroradiometer)successor,VIIRS(Visible Infrared Imaging Radiometer Suite)can achieve on a global scale continuous monitoring of aerosols.As a mature product of aerosol remote sensing,the Aerosol Optical Depth(AOD)is an important atmospheric parameter in energy budget and climate change researches.But because of heavy aerosol loading,the application of VIIRS AOD product from NOAA(National Oceanic and Atmospheric Administration)is limited in China.By using a new cloud mask method,improvingthe pixels selection process,widening the range of AOD inversion,and constraining the aerosol model selection,we improved the retrieval algorithm and enhanced the performance in haze area.Based on validation with ground-based AERONET(AErosol RObotic NETwork)observation,our AOD product overcame the underestimation of satellite retrieval result and had better correlation and smaller root mean square error(RMSE)than that of NOAA.In order to verify its performance in polluted air condition,we compared them in two degrees of pollution(0.6AODAERONET1 and AODAERONET1).For the heavy pollution conditions(AODAERONET1),availability proportion of data increased effectively from 32.3%to 68.8%.Validation results showed that the slope of the regression analysis,correlation coefficient,and the root mean square error(RMSE)was enhanced to 0.80,0.76 and 0.307 respectively.In the conclusion,the accuracy of AOD products was guaranteed on the basis of increasing of data coverage.
【Fund】: 国家自然科学基金重大研究计划项目(91543128);; 国家科技支撑计划(2014BAC21B00)资助
【CateGory Index】: X513;X87
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【Citations】
Chinese Journal Full-text Database 2 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 GAO Da-wei;MA Hao;YU Zhen-yan;ZHANG Xiao-wei;REN Lü;YANG Xu-chao;Zhejiang Climate Center;Ocean College,Zhejiang University;;Monitoring haze events from the MODIS True-Color composite image series:A case study of severe haze pollution event in Zhejiang Province[J];中国环境科学;2015-10
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