干旱区生态环境知识资源中心(Arid): 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, Xiangyue; Ding, Jianli; Liu, Jie; Wang, Jingzhe; Ge, Xiangyu; Wang, Rui; Zuo, Hongchao
通讯作者	Zuo, HC (corresponding author), Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China. ; Ding, JL (corresponding author), Xinjiang Univ, Higher Educ Inst, Key Lab Smart City & Environm Modeling, Urumqi 830046, Peoples R China.
来源期刊	ATMOSPHERIC ENVIRONMENT
ISSN	1352-2310
EISSN	1873-2844
出版年	2021
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.
英文关键词	AOD MAIAC DB Spatiotemporal variation Central Asia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000634156300002
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 ; 新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349638
作者单位	[Chen, Xiangyue; Zuo, Hongchao] Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China; [Chen, Xiangyue; Ding, Jianli; Liu, Jie; Ge, Xiangyu; Wang, Rui] Xinjiang Univ, Higher Educ Inst, Key Lab Smart City & Environm Modeling, Urumqi 830046, Peoples R China; [Chen, Xiangyue; Ding, Jianli; Liu, Jie; Ge, Xiangyu; Wang, Rui] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Xinjiang, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, MNR Key Lab Geoenvironm Monitoring Great Bay Area, Shenzhen 518060, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Guangdong Key Lab Urban Informat, Shenzhen 518060, Peoples R China; [Wang, Jingzhe] Shenzhen Univ, Shenzhen Key Lab Spatial Smart Sensing & Serv, Shenzhen 518060, Peoples R China
推荐引用方式 GB/T 7714	Chen, Xiangyue,Ding, Jianli,Liu, Jie,et al. Validation and comparison of high-resolution MAIAC aerosol products over Central Asia[J]. 兰州大学, 新疆大学,2021,251.
APA	Chen, Xiangyue.,Ding, Jianli.,Liu, Jie.,Wang, Jingzhe.,Ge, Xiangyu.,...&Zuo, Hongchao.(2021).Validation and comparison of high-resolution MAIAC aerosol products over Central Asia.ATMOSPHERIC ENVIRONMENT,251.
MLA	Chen, Xiangyue,et al."Validation and comparison of high-resolution MAIAC aerosol products over Central Asia".ATMOSPHERIC ENVIRONMENT 251(2021).