气候变化领域集成服务门户(CCPortal): A global analysis of diurnal variability in dust and dust mixture using CATS observations

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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 Y.; Kalashnikova O.V.; Garay M.J.; Lee H.; Choi M.; Okin G.S.; Yorks J.E.; Campbell J.R.; Marquis J.
发表日期	2021
ISSN	1680-7316
起始页码	1427
结束页码	1447
卷号	21 期号:3
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 Bodélé 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. © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/168791
作者单位	Atmospheric and Oceanic Sciences Program, Princeton University, Princeton, NJ, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Department of Geography, University of California, Los Angeles, CA, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; Naval Research Laboratory, Monterey, CA, United States; Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, United States
推荐引用方式 GB/T 7714	Yu Y.,Kalashnikova O.V.,Garay M.J.,et al. A global analysis of diurnal variability in dust and dust mixture using CATS observations[J],2021,21(3).
APA	Yu Y..,Kalashnikova O.V..,Garay M.J..,Lee H..,Choi M..,...&Marquis J..(2021).A global analysis of diurnal variability in dust and dust mixture using CATS observations.Atmospheric Chemistry and Physics,21(3).
MLA	Yu Y.,et al."A global analysis of diurnal variability in dust and dust mixture using CATS observations".Atmospheric Chemistry and Physics 21.3(2021).