干旱区生态环境知识资源中心(Arid): VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China

Arid

DOI	10.1016/j.atmosenv.2021.118265
	VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China
	He, Lijie; Wang, Lunche; Li, Zhengqiang; Jiang, Daoyang; Sun, Lin; Liu, Dong; Liu, Lei; Yao, Rui; Zhou, Zhigao; Wei, Jing
通讯作者	Wang, LC (corresponding author), China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China. ; Wei, J (corresponding author), Univ Maryland, Dept Atmospher & Ocean Sci, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA.
来源期刊	ATMOSPHERIC ENVIRONMENT
ISSN	1352-2310
EISSN	1873-2844
出版年	2021
卷号	250
英文摘要	Recently, the Deep Blue (DB) algorithm has been successfully applied to the Visible Infrared Imaging Radiometer Suite (VIIRS) to expend the long-term aerosol records over land in conjunction with the Environmental Data Record (EDR) product. However, the overall accuracy and uncertainty of VIIRS DB and EDR Aerosol Optical Depth (AOD) products are still unclear in China, in particular, due to the sparse distribution of ground observation stations. Therefore, the objective of this study is to evaluate and compare VIIRS EDR and DB AOD retrievals against ground measurements collected from both Aerosol Robotic Network (AERONET) and Chinese Sun-sky radiometer Observation Network (SONET) in China from 2013 to 2018. Results suggest that both EDR and DB products have a significant refinement after quality assurance (QA) controlling. DB (QA = Best) performs best with high correction (R = 0.92), and up to 80.32% of AOD matches falling within the expected error (EE), while approximately 46% of EDR (QA = Best) AOD retrievals are overestimated. However, EDR has a higher retrieval frequency than DB over most regions of China, except for the arid and semi-arid areas such as the Northwest. Generally, despite some exceptions, both EDR and DB products perform relatively poorly in summer for all statistics. Furthermore, the error analysis explains that DB is less sensitive to varying air pollution levels, diverse aerosol types, and different surface conditions, while the pattern of EDR is complicated. In addition, due to the common algorithmic heritage, both VIIRS EDR and MODIS DT products only show good matching over dark surfaces, while VIIRS DB and MODIS DB algorithms have good performance over both dark and bright surfaces. Finally, both EDR and DB products have shown significant downward AOD trends equal to-0.0008 per year (p < 0.01) in China during the last past six years, especially for three typical urban agglomerations. These evaluation results are expected to provide appropriate guidance for the application of VIIRS aerosol products in China.
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000631887100001
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构	兰州大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349637
作者单位	[He, Lijie] Huazhong Agr Univ, Coll Publ Adm, Wuhan, Peoples R China; [Wang, Lunche; Jiang, Daoyang; Yao, Rui] China Univ Geosci, Sch Geog & Informat Engn, Wuhan, Peoples R China; [Li, Zhengqiang] Chinese Acad Sci, Aerosp Informat Res Inst, State Environm Protect Key Lab Satellite Remote S, Beijing, Peoples R China; [Sun, Lin] Shandong Univ Sci & Technol, Coll Geodesy & Geomat, Qingdao, Peoples R China; [Liu, Dong] Zhejiang Univ, Coll Opt Sci & Engn, Int Res Ctr Adv Photon, State Key Lab Modern Opt Instrumentat, Hangzhou, Peoples R China; [Liu, Lei] Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou, Peoples R China; [Zhou, Zhigao] Wuhan Univ, Sch Resource & Environm Sci, Wuhan, Peoples R China; [Wei, Jing] Univ Maryland, Dept Atmospher & Ocean Sci, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20742 USA
推荐引用方式 GB/T 7714	He, Lijie,Wang, Lunche,Li, Zhengqiang,et al. VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China[J]. 兰州大学,2021,250.
APA	He, Lijie.,Wang, Lunche.,Li, Zhengqiang.,Jiang, Daoyang.,Sun, Lin.,...&Wei, Jing.(2021).VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China.ATMOSPHERIC ENVIRONMENT,250.
MLA	He, Lijie,et al."VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China".ATMOSPHERIC ENVIRONMENT 250(2021).