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The seasonal characteristics of cloud condensation nuclei (CCN) in the arctic lower troposphere

Cited 18 time in wos
Cited 16 time in scopus
Title
The seasonal characteristics of cloud condensation nuclei (CCN) in the arctic lower troposphere
Other Titles
북극 대기중 구름응결핵의 계절적 특성
Authors
Jung, Chang Hoon
Yoon, Young Jun
Kang, Hyo Jin
Gim, Yeontae
Lee, Bang Yong
Strom, johan
Krejci, Radovan
Tunved, Peter
Subject
Meteorology & Atmospheric Sciences
Keywords
CCNarctic aerosolarctic troposphereZeppelin station
Issue Date
2018-10
Citation
Jung, Chang Hoon, et al. 2018. "The seasonal characteristics of cloud condensation nuclei (CCN) in the arctic lower troposphere". TELLUS SERIES B-CHEMICAL AND PHYSICAL METEOROLOGY, 70(1): 1-13.
Abstract
Cloud Condensation Nuclei (CCN) concentration and aerosol size distributions in the Arctic were collected during the period 2007-2013 at the Zeppelin observatory (78.91 degrees N, 11.89 degrees E, 474 masl). Annual median CCN concentration at a supersaturation (SS) of 0.4% show the ranges of 45 approximate to 81cm(-3). The monthly median CCN number density varied between 17cm(-3) in October 2007 and 198cm(-3) in March, 2008. The CCN spectra parameters C (83cm(-3)) and k (0.23) were derived. In addition, calculated annual median value of hygroscopicity parameter is 0.46 at SS of 0.4%. Particle number concentration of accumulation mode from aerosol size distribution measurements are well correlated with CCN concentration. The CCN to CN>10 nm (particle number concentration larger than 10nm in diameter) ratio shows a maximum during March and minimum during July. The springtime high CCN concentration is attributed to high load of accumulation mode aerosol transported from the mid-latitudes, known as Arctic Haze. CCN concentration remains high also during Arctic summer due to the source of new CCN through particle formation followed by consecutive aerosol growth. Lowest aerosol as well as CCN number densities were observed during Arctic autumn and early winter when aerosol formation in the Arctic and long-range transport into the Arctic are not effective.
URI
https://repository.kopri.re.kr/handle/201206/10541
DOI
http://dx.doi.org/10.1080/16000889.2018.1513291
Type
Article
Station
Dasan Station
Indexed
SCI
Appears in Collections  
2018-2018, Arctic permafrost environment change monitoring and prediction method developments (18-18) / Lee, Bang Yong (PN18081)
2016-2018, Arctic permafrost environment change monitoring and prediction method developments (16-18) / Lee, Bang Yong (PN16081; PN17081; PN18081)
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