气候变化领域集成服务门户(CCPortal): VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China

CCPortal

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 L.; Wang L.; Li Z.; Jiang D.; Sun L.; Liu D.; Liu L.; Yao R.; Zhou Z.; Wei J.
发表日期	2021
ISSN	1352-2310
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. © 2021 Elsevier Ltd
语种	英语
scopus关键词	Aerosols; Quality assurance; Quality control; Radiometers; Supercomputers; Thermography (imaging); Aerosol optical depths; Aerosol robotic networks; Arid and semi-arid areas; Environmental data records; Observation networks; Sparse distribution; Spatio-temporal variation; Visible infrared imaging radiometer suites; Air pollution; accuracy assessment; AERONET; aerosol; agglomeration; algorithm; data set; detection method; ground-based measurement; model validation; MODIS; observational method; optical depth; radiometer; seasonal variation; spatiotemporal analysis; uncertainty analysis; VIIRS; aerosol; air monitoring; air pollution; Article; China; comparative study; controlled study; optical depth; priority journal; quality control; radiometry; spatiotemporal analysis; thermography; China
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/248540
作者单位	College of Public Administration, Huazhong Agricultural University, Wuhan, China; School of Geography and Information Engineering, China University of Geosciences, Wuhan, China; State Environmental Protection Key Laboratory of Satellite Remote Sensing, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China; State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International Research Center for Advanced Photonics, Zhejiang University, Hangzhou, China; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China; School of Resource and Environmental Science, Wuhan University, Wuhan, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States
推荐引用方式 GB/T 7714	He L.,Wang L.,Li Z.,et al. VIIRS Environmental Data Record and Deep Blue aerosol products: validation, comparison, and spatiotemporal variations from 2013 to 2018 in China[J],2021,250.
APA	He L..,Wang L..,Li Z..,Jiang D..,Sun L..,...&Wei J..(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 L.,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).