气候变化领域集成服务门户(CCPortal): Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets

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DOI	10.1016/j.atmosenv.2020.117994
	Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets
	Kim M.; Kim S.H.; Kim W.V.; Lee Y.G.; Kim J.; Kafatos M.C.
发表日期	2021
ISSN	1352-2310
卷号	245
英文摘要	We investigated aerosol optical depth (AOD) under background and polluted conditions using Aerosol Robotic Network (AERONET) and Visible Infrared Imaging Radiometer Suite (VIIRS) observations. The AOD data were separated into background, high, and median AOD (BAOD, HAOD, and MAOD, respectively) based on the cumulative AOD distribution at each point and then their spatiotemporal variations were analyzed. Persistent pollutant emissions from industrial activity in South Asia (SUA) and Northeast Asia (NEA) produced the highest BAOD values. Gridded-BAODs obtained from VIIRS Deep Blue AOD products showed widespread high-level BAOD over the oceans associated with transport from dust and biomass burning events. The temporal variations in BAOD and HAOD were generally consistent with that of MAOD, but differences were found in seasonal variation as well as in long-term trends in some regions. Southeast Asia (SEA) and South America/South Africa (SAM/SAF) showed similar HAOD levels owing to biomass burning, but BAODs were higher in SEA than in SAM/SAF. In NEA, BAOD was lowest during the summer rainy season, as opposed to the peaks in MAOD and HAOD. Long-term trends of the AODs show clear regional characteristics. The AODs have decreasing trends in NEA, Europe/Mediterranean basin, and Northeast America but increasing trends in SUA, North Africa, and the Middle East. The trend of HAOD in Northwest America and Australia was opposite to that of BAOD. The spatiotemporal patterns of the HAOD and BAOD provide detailed information on changes in aerosol loading compared to using only MAOD. © 2020 Elsevier Ltd
关键词	AERONET Background aerosol optical depth Linear AOD trend VIIRS Deep blue aerosol
语种	英语
scopus关键词	Industrial emissions; Optical properties; Supercomputers; Thermography (imaging); Aerosol optical depths; Aerosol robotic networks; Industrial activities; Pollutant emission; Regional characteristics; Spatio-temporal variation; Spatiotemporal patterns; Visible infrared imaging radiometer suites; Aerosols; AERONET; aerosol; assessment method; biomass burning; data set; dust; emission; optical depth; seasonal variation; spatiotemporal analysis; VIIRS; aerosol; aerosol robotic network; air pollutant; algorithm; Article; biomass production; calculation; data system; Europe; Mediterranean Sea; Middle East; North Africa; optical depth; priority journal; remote sensing; seasonal variation; South Africa; South America; Southeast Asia; thermography; visible infrared imaging radiometer suite; Asia; Australia; Europe; Middle East; North Africa; South Africa; South America
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248763
作者单位	NASA-Goddard Space Flight Center (GSFC), GreenbeltMD 20771-0001, United States; Universities Space Research Association (USRA), Columbia, MD 21046, United States; The Center of Excellence in Earth Systems Modeling & Observations (CEESMO), Chapman University, Orange, CA 92866, United States; Earth System Science Interdisciplinary Center (ESSIC), University of Maryland, College Park, MD 20737, United States; Department of Atmospheric Sciences, Chungnam National University, Daejeon, South Korea; Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
推荐引用方式 GB/T 7714	Kim M.,Kim S.H.,Kim W.V.,et al. Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets[J],2021,245.
APA	Kim M.,Kim S.H.,Kim W.V.,Lee Y.G.,Kim J.,&Kafatos M.C..(2021).Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets.ATMOSPHERIC ENVIRONMENT,245.
MLA	Kim M.,et al."Assessment of Aerosol optical depth under background and polluted conditions using AERONET and VIIRS datasets".ATMOSPHERIC ENVIRONMENT 245(2021).