气候变化领域集成服务门户(CCPortal): MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis

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DOI	10.1016/j.atmosenv.2020.117768
	MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis
	Wei J.; Li Z.; Sun L.; Peng Y.; Liu L.; He L.; Qin W.; Cribb M.
发表日期	2020
ISSN	1352-2310
卷号	240
英文摘要	Recently, NASA has released the newest Moderate Resolution Imaging Spectroradiometer (MODIS)/Terra Collection 6.1 (C6.1) aerosol product generated at a higher spatial resolution of 3 km (i.e., MOD04_3K) with main updates in the radiation calibration and the Dark Target (DT) aerosol algorithm. This product is of great importance for air pollution studies at small to medium scales but has not been fully evaluated. This paper aims to provide a comprehensive validation and error analysis of the MOD04_3K C6.1 aerosol optical depth (AOD) data set against Aerosol Robotic Network (AERONET) Version 3 AOD measurements at different spatiotemporal scales from 2013 to 2017 over land and ocean. Results suggest that the data quality of the MOD04_3K AOD data set is overall improved at different spatial scales after quality control. In general, the highest-quality 3 km AOD retrievals (quality assurance = 3) and ground-based measurements are highly correlated (correlation coefficient = 0.81), with a mean absolute error of 0.08 and a root-mean-square error of 0.12. About 63% of the data samples fall within the expected error envelope on a global scale. Nevertheless, there is large spatial heterogeneity in the performance at regional and site scales, with the worse accuracy generally observed in areas covered by bright surfaces or dominated by human activities. This is mainly due to the difficulties in estimating surface reflectance and the aerosol-type assumption. In addition, aerosol retrievals are overall overestimated, especially over North America, Europe, and East Asia. Furthermore, the estimation errors and uncertainties are highly related to varying surface and atmospheric aerosol conditions, which become larger with increases in surface brightness, aerosol loading, Ångström exponent and single scattering albedo. The MODIS 3 km AOD data set is generally less accurate than its coarser-spatial-resolution (10 km) counterpart due to a decrease in the opportunity to discard marginal pixels from the retrieval. Therefore, further algorithm improvements are needed to reduce the estimation uncertainty, especially for heterogeneous urban and bright surfaces. © 2020 Elsevier Ltd
关键词	3 km resolution AERONET AOD Collection 6.1 MODIS
语种	英语
scopus关键词	Atmospheric aerosols; Errors; Image resolution; Mean square error; NASA; Optical properties; Quality assurance; Quality control; Radiometers; Aerosol robotic networks; Algorithm improvements; Correlation coefficient; Estimation uncertainties; Ground based measurement; Moderate resolution imaging spectroradiometer; Root mean square errors; Single scattering albedo; Uncertainty analysis; AERONET; aerosol; aerosol composition; atmospheric pollution; error analysis; MODIS; optical depth; remote sensing; spatial resolution; surface reflectance; uncertainty analysis; aerosol; albedo; algorithm; article; Asia; brightness; correlation coefficient; data quality; Europe; human; information retrieval; North America; optical depth; quality control; sea; sensitivity analysis; uncertainty; Europe; Far East; North 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/248971
作者单位	State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Department of Atmospheric and Oceanic Science, Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, United States; College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao, China; Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China; College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, China; Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong; School of Geography and Information Engineering, China University of Geosciences, Wuhan, China
推荐引用方式 GB/T 7714	Wei J.,Li Z.,Sun L.,et al. MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis[J],2020,240.
APA	Wei J..,Li Z..,Sun L..,Peng Y..,Liu L..,...&Cribb M..(2020).MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis.ATMOSPHERIC ENVIRONMENT,240.
MLA	Wei J.,et al."MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis".ATMOSPHERIC ENVIRONMENT 240(2020).