气候变化领域集成服务门户(CCPortal): Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site

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DOI	10.5194/acp-22-6197-2022
	Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site
	Perkins, Russell J.; Marinescu, Peter J.; Levin, Ezra J. T.; Collins, Don R.; Kreidenweis, Sonia M.
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	6197
结束页码	6215
卷号	22 期号:9 页码:19
英文摘要	When aerosol particles seed the formation of liquid water droplets in the atmosphere, they are called cloud condensation nuclei (CCN). Different aerosols will act as CCN under different degrees of water supersaturation (relative humidity above 100 %), depending on their size and composition. In this work, we build and analyze a best-estimate CCN spectrum product, tabulated at similar to 45 min resolution, generated using high quality data from seven independent instruments at the U.S. Department of Energy Atmospheric Radiation Measurement (ARM) Southern Great Plains site. The data product spans a large supersaturation range, from 0.0001 % to similar to 30 %, and time period of 5 years, from 2009-2013, and is available on the ARM data archive. We leverage this added statistical power to examine relationships that are unclear in smaller datasets. Our analysis is performed in three main areas. First, probability distributions of many aerosol and CCN metrics are found to exhibit skewed log-normal distribution shapes. Second, clustering analyses of CCN spectra reveal that the primary drivers of CCN differences are aerosol number size distributions, rather than hygroscopicity or composition, especially at supersaturations above 0.2 %, while also allowing for a simplified understanding of seasonal and diurnal variations in CCN behavior. The predictive ability of using limited hygroscopicity data with accurate number size distributions to estimate CCN spectra is investigated, and the uncertainties of this approach are estimated. Third, the dynamics of CCN spectral clusters and concentrations are examined with cross-correlation and autocorrelation analyses. We find that CCN concentrations change rapidly on the timescale of 1-3 h, with some conservation beyond that which is greatest for the lower supersaturation region of the spectrum.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000793191400001
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/273741
作者单位	Colorado State University; Colorado State University; University of California System; University of California Riverside
推荐引用方式 GB/T 7714	Perkins, Russell J.,Marinescu, Peter J.,Levin, Ezra J. T.,et al. Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site[J],2022,22(9):19.
APA	Perkins, Russell J.,Marinescu, Peter J.,Levin, Ezra J. T.,Collins, Don R.,&Kreidenweis, Sonia M..(2022).Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(9),19.
MLA	Perkins, Russell J.,et al."Long- and short-term temporal variability in cloud condensation nuclei spectra over a wide supersaturation range in the Southern Great Plains site".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.9(2022):19.