气候变化领域集成服务门户(CCPortal): Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type; aerosol loading and aerosol absorption

CCPortal

DOI	10.1016/j.atmosres.2019.05.023
	Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type; aerosol loading and aerosol absorption
	Mei L.; Zhao C.; de Leeuw G.; Che H.; Che Y.; Rozanov V.; Vountas M.; Burrows J.P.
发表日期	2019
ISSN	0169-8095
起始页码	161
结束页码	175
卷号	228
英文摘要	For regions where limited in-situ observations are available for use as a reference, such as in China, the understanding of how changes in the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol retrieval algorithm impact the data quality is limited. In this paper, the MODIS-Aqua Aerosol Optical Thickness (AOT) Collection 5 (C5) and 6 (C6) Dark-Target (DT) products are evaluated by comparison with similar products from the China Aerosol Remote Sensing NETwork (CARSNET) and the Aerosol Robotic Network (AERONET) in China for the year 2008. The validation data are analyzed for key factors affecting the results of the MODIS-DT aerosol retrieval algorithm, including surface type, aerosol loading and aerosol absorption. The impacts of the change from the C5 to the C6 versions of the MODIS AOT retrieval algorithm are discussed in detail. The main findings are: (1) The agreement from retrieval aspects between both MODIS C5/C6 and CARSNET-AERONET for most AOT values over distinct regions indicates that the conclusions obtained from C5 hold for C6; (2) MODIS-DT has an extended coverage (more retrievals) with good quality due to the change of upstream data (calibration, cloud masking, etc); (3) About 64% of the MODISDT C6 AOT data over China fall within the (±0.15 AOT ± 0.05) error envelope; (4) positive AOT differences between C6 and C5 over relatively dark surfaces and negative differences over relatively bright surfaces due to the change of surface parameterization have been observed; (5) the AOT difference between MODIS and CARSNET-AERONET relating to AOT loading is not significant, especially for large AOT; (6) MODIS-DT performs well for absorbing aerosol over relatively bright surfaces. © 2019 Elsevier B.V.
英文关键词	Aerosol optical thickness; China; MODIS; Validation
语种	英语
scopus关键词	Aerosols; Optical properties; Radiometers; Remote sensing; Aerosol optical thickness; Aerosol retrieval algorithms; Aerosol robotic networks; China; Moderate resolution imaging spectroradiometer; MODIS; Surface parameterization; Validation; Loading; AERONET; aerosol; aerosol property; algorithm; Aqua (satellite); data quality; MODIS; remote sensing; China
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/162166
作者单位	Institute of Environmental Physics, University of Bremen, Otto-Hahn-Allee 1, Bremen, 28359, Germany; Finnish Meteorological Institute (FMI), Climate Research Unit, Helsinki, 00101, Finland; School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China; Key Laboratory of Atmospheric Chemistry (LAC), Chinese Academy of Meteorological Sciences (CAMS), CMA, Beijing, 100081, China; The Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100094, China
推荐引用方式 GB/T 7714	Mei L.,Zhao C.,de Leeuw G.,et al. Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type; aerosol loading and aerosol absorption[J],2019,228.
APA	Mei L..,Zhao C..,de Leeuw G..,Che H..,Che Y..,...&Burrows J.P..(2019).Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type; aerosol loading and aerosol absorption.Atmospheric Research,228.
MLA	Mei L.,et al."Understanding MODIS dark-target collection 5 and 6 aerosol data over China: Effect of surface type; aerosol loading and aerosol absorption".Atmospheric Research 228(2019).