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DOI	10.1016/j.atmosenv.2021.118684
	MODIS high-resolution MAIAC aerosol product: Global validation and analysis
	Qin W.; Fang H.; Wang L.; Wei J.; Zhang M.; Su X.; Bilal M.; Liang X.
发表日期	2021
ISSN	1352-2310
卷号	264
英文摘要	This paper attempt to verify the accuracy of the Multi-Angle Implementation of Atmospheric Correction (MAIAC) aerosol optical depth (AOD) product on a global scale using AOD measurements during 2000–2019 at 332 Aerosol Robotic Network (AERONET) sites. The results indicate that MAIAC AOD retrievals are highly correlated with ground-based AOD measurements. The correlation coefficients (R) are greater than 0.8 at more than 68% of AERONET sites. Meanwhile, the performance of MAIAC AOD retrievals in different climate zones is also investigated. The accuracy of MAIAC AOD retrievals is high (within expected error (EE) = 87.49% and 83.15%) in the regions of tropical rainforest climate and tropical open forest climate. Then, the uncertainties and estimation deviation of MAIAC AOD retrievals in various land-cover-types are analyzed. The results find that the MAIAC AOD retrievals show high correlation with aerosol measurements in the forest (within EE > 95%), while the poor accuracy is always observed in the barren areas (within EE = 62.56%, RMSE = 0.12). The uncertainty of the MAIAC AOD retrievals is not only related to the satellite and solar geometries, but also depends on the aerosol conditions, which become larger with the increase of aerosol loading and Ångstrom exponent (AE). Finally, the spatial variations of AOD values over the world are investigated. High AOD values are mainly distributed in Central Africa, Saudi Arabia, Southern Asia and China. © 2021 Elsevier Ltd
关键词	1 km resolution AOD Global MAIAC MODIS Validation
语种	英语
scopus关键词	Aerosols; Forestry; Tropics; Uncertainty analysis; 1 km resolution; Aerosol optical depths; Aerosol robotic networks; Depth measurements; Depth value; Global; Multi-angle implementation of atmospheric corrections; Optical depth retrievals; Uncertainty; Validation; Radiometers; aerosol; detection method; ground-based measurement; land cover; model validation; MODIS; optical depth; rainforest; satellite data; spatial variation; aerosol; article; Central Africa; China; climate; correlation coefficient; geometry; information retrieval; land use; optical depth; Saudi Arabia; tropical rain forest; uncertainty; Central Africa; China; Saudi Arabia; South Asia
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/248237
作者单位	Hunan Key Laboratory of Remote Sensing of Ecological Environment in Dongting Lake Area, School of Geography and Information Engineering, China University of Geosciences, Wuhan, China; Department of Chemical and Biochemical Engineering, Iowa Technology Institute, Center for Global and Regional Environmental Research, University of Iowa, United States; School of Marine Science, Nanjing University of Information Science & Technology, Nanjing, China
推荐引用方式 GB/T 7714	Qin W.,Fang H.,Wang L.,et al. MODIS high-resolution MAIAC aerosol product: Global validation and analysis[J],2021,264.
APA	Qin W..,Fang H..,Wang L..,Wei J..,Zhang M..,...&Liang X..(2021).MODIS high-resolution MAIAC aerosol product: Global validation and analysis.ATMOSPHERIC ENVIRONMENT,264.
MLA	Qin W.,et al."MODIS high-resolution MAIAC aerosol product: Global validation and analysis".ATMOSPHERIC ENVIRONMENT 264(2021).