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DOI	10.5194/acp-21-1427-2021
	A global analysis of diurnal variability in dust and dust mixture using CATS observations
	Yu, Yan; Kalashnikova, Olga, V; Garay, Michael J.; Lee, Huikyo; Choi, Myungje; Okin, Gregory S.; Yorks, John E.; Campbell, James R.; Marquis, Jared
通讯作者	Yu, Y (corresponding author), Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA.
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
ISSN	1680-7316
EISSN	1680-7324
出版年	2021
卷号	21 期号:3 页码:1427-1447
英文摘要	The current study investigates the diurnal cycle of dust and dust mixture loading across the global tropics, subtropics, and mid-latitudes by analyzing aerosol extinction and typing profiles observed by the Cloud-Aerosol Transport System (CATS) lidar aboard the International Space Station. According to the comparison with ground-based and other satellite observations, CATS aerosol and dust and dust mixture loading observations exhibit reasonable quality but significant day-night inconsistency. To account for this day-night inconsistency in CATS data quality, the diurnal variability in dust and dust mixture characteristics is currently examined separately for daytime and nighttime periods. Based on an analysis of variance (ANOVA) analytical framework, pronounced diurnal variations in dust and dust mixture loading are generally uncovered during daytime periods and over terrestrial areas. The current study identifies statistically significant diurnal variability in dust and dust mixture loading over key dust sources, including the Bodele Depression, the West African El Djouf, Rub' al-Khali desert, and western and southern North America, confirming the previous observation-based findings regarding the diurnal cycle of dust emission and underlying meteorological processes in these regions. Significant seasonal and diurnal variability in dust and dust mixture is identified over the Iraqi and Thar deserts. The identified significant diurnal cycles in dust mixture loading over the vegetated regions in the Amazon and tropical southern Africa are hypothesized to be driven by enhanced dust emission due to wildfires.
类型	Article
语种	英语
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000618077500001
WOS类目	Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
来源机构	University of California, Los Angeles
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/347741
作者单位	[Yu, Yan] Princeton Univ, Atmospher & Ocean Sci Program, Princeton, NJ 08544 USA; [Kalashnikova, Olga, V; Garay, Michael J.; Lee, Huikyo; Choi, Myungje] CALTECH, Jet Prop Lab, Pasadena, CA USA; [Okin, Gregory S.] Univ Calif Los Angeles, Dept Geog, Los Angeles, CA 90024 USA; [Yorks, John E.] NASA, Goddard Space Flight Ctr, Greenbelt, MD USA; [Campbell, James R.] Naval Res Lab, Monterey, CA USA; [Marquis, Jared] Univ North Dakota, Dept Atmospher Sci, Grand Forks, ND USA
推荐引用方式 GB/T 7714	Yu, Yan,Kalashnikova, Olga, V,Garay, Michael J.,et al. A global analysis of diurnal variability in dust and dust mixture using CATS observations[J]. University of California, Los Angeles,2021,21(3):1427-1447.
APA	Yu, Yan.,Kalashnikova, Olga, V.,Garay, Michael J..,Lee, Huikyo.,Choi, Myungje.,...&Marquis, Jared.(2021).A global analysis of diurnal variability in dust and dust mixture using CATS observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(3),1427-1447.
MLA	Yu, Yan,et al."A global analysis of diurnal variability in dust and dust mixture using CATS observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.3(2021):1427-1447.