气候变化领域集成服务门户(CCPortal): Validation and comparison of high-resolution MAIAC aerosol products over Central Asia

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DOI	10.1016/j.atmosenv.2021.118273
	Validation and comparison of high-resolution MAIAC aerosol products over Central Asia
	Chen X.; Ding J.; Liu J.; Wang J.; Ge X.; Wang R.; Zuo H.
发表日期	2021
ISSN	1352-2310
卷号	251
英文摘要	Aerosols are an important contributor to global atmospheric environmental changes and have critical effects on the global climate system and human health. Central Asia is one of the most important sources of dust aerosols in the world and produces a significant portion of global aerosols. Central Asia is also a scarce aerosol-data area, so it is of great significance to obtain and verify new aerosol data from this region. In this study, based on the aerosol optical depth (AOD) data from remote sensing (MYD04_L2) and ground-based observations (AERONET and Microtops II), the applicability of multiangle implementation of atmospheric correction (MAIAC) AOD in Central Asia was comprehensively analyzed, and the variation in AOD in Central Asia over the last 20 years was analyzed by the information entropy method. The results indicate that MAIAC AOD has good application prospects in Central Asia and can effectively compensate for the lack of observational data from Central Asia. MAIAC AOD exhibits excellent spatiotemporal consistency with MYD04 deep blue (DB) AOD and has a better ability than MYD04 DB AOD to describe local fine-scale features. Furthermore, MAIAC AOD demonstrates high consistency with ground-based AOD observations, showing high R (0.737) and low RMSE (0.067) values and having 65.2% of samples falling within the expected error (EE) envelope. When employing the ground-based AOD observations as a bridge, MAIAC exhibits superiority to MYD04 DB in both the richness number of valid high-quality retrievals and the retrieval accuracy of various evaluation indicators. The annual variation in AOD in Central Asia exhibits a unimodal distribution, with AOD being largest in April, followed by March and May, and comparable rangeability. Based on information entropy, interannual variation in AOD exists in most areas of Central Asia, with AOD in the Taklimakan Desert area being significantly increased and that in northern Central Asia (Kazakhstan) showing a downward trend. © 2021 Elsevier Ltd
关键词	AOD Central Asia DB MAIAC Spatiotemporal variation
语种	英语
scopus关键词	Remote sensing; Supercomputers; Aerosol optical depths; Global climate system; Ground-based observations; Information entropy method; Interannual variation; Multi-angle implementation of atmospheric corrections; Spatio-temporal consistencies; Unimodal distribution; Aerosols; aerosol; annual variation; atmospheric correction; environmental change; global climate; optical depth; remote sensing; aerosol; article; desert; entropy; human; information retrieval; Kazakhstan; optical depth; remote sensing; China; Kazakhstan; Taklimakan Desert; Xinjiang Uygur
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/248527
作者单位	College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China; Key Laboratory of Smart City and Environmental Modeling of Higher Education Institute, Xinjiang University, Urumqi, 830046, China; Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, Xinjiang 830046, China; MNR Key Laboratory for Geo-Environmental Monitoring of Great Bay Area & Guangdong Key Laboratory of Urban Informatics & Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen, 518060, China
推荐引用方式 GB/T 7714	Chen X.,Ding J.,Liu J.,et al. Validation and comparison of high-resolution MAIAC aerosol products over Central Asia[J],2021,251.
APA	Chen X..,Ding J..,Liu J..,Wang J..,Ge X..,...&Zuo H..(2021).Validation and comparison of high-resolution MAIAC aerosol products over Central Asia.ATMOSPHERIC ENVIRONMENT,251.
MLA	Chen X.,et al."Validation and comparison of high-resolution MAIAC aerosol products over Central Asia".ATMOSPHERIC ENVIRONMENT 251(2021).