Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-1105-2017 |
Size-resolved aerosol and cloud condensation nuclei (CCN) properties in the remote marine South China Sea - Part 1: Observations and source classification | |
Atwood, Samuel A.1; Reid, Jeffrey S.2; Kreidenweis, Sonia M.1; Blake, Donald R.3; Jonsson, Haflidi H.4; Lagrosas, Nofel D.5; Xian, Peng6; Reid, Elizabeth A.2; Sessions, Walter R.6,7; Simpas, James B.5 | |
2017-01-24 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | USA; Philippines |
英文摘要 | Ship-based measurements of aerosol and cloud condensation nuclei (CCN) properties are presented for 2 weeks of observations in remote marine regions of the South China Sea/East Sea during the southwestern monsoon (SWM) season. Smoke from extensive biomass burning throughout the Maritime Continent advected into this region during the SWM, where it was mixed with anthropogenic continental pollution and emissions from heavy shipping activities. Eight aerosol types were identified using a k-means cluster analysis with data from a size-resolved CCN characterization system. Interpretation of the clusters was supplemented by additional onboard aerosol and meteorological measurements, satellite, and model products for the region. A typical bimodal marine boundary layer background aerosol population was identified and observed mixing with accumulation mode aerosol from other sources, primarily smoke from fires in Borneo and Sumatra. Hygroscopicity was assessed using the kappa parameter and was found to average 0.40 for samples dominated by aged accumulation mode smoke; 0.65 for accumulation mode marine aerosol; 0.60 in an anthropogenic aerosol plume; and 0.22 during a short period that was characterized by elevated levels of volatile organic compounds not associated with biomass burning impacts. As a special subset of the background marine aerosol, clean air masses substantially scrubbed of particles were observed following heavy precipitation or the passage of squall lines, with changes in observed aerosol properties occurring on the order of minutes. Average CN number concentrations, size distributions, and kappa values are reported for each population type, along with CCN number concentrations for particles that activated at supersaturations between 0.14 and 0.85%. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000394597600003 |
WOS关键词 | BIOMASS BURNING SMOKE ; BOUNDARY-LAYER ; NONPRECIPITATING CLOUDS ; ATMOSPHERIC PARTICLES ; MARITIME CONTINENT ; ORGANIC-MATTER ; RAIN-FOREST ; HYGROSCOPICITY ; DISTRIBUTIONS ; TRANSPORT |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/20560 |
专题 | 地球科学 |
作者单位 | 1.Colorado State Univ, Dept Atmospher Sci, Ft Collins, CO 80523 USA; 2.Naval Res Lab, Marine Meteorol Div, Monterey, CA 93943 USA; 3.Univ Calif Irvine, Dept Chem, Irvine, CA 92717 USA; 4.Naval Postgrad Sch, Dept Meteorol, Monterey, CA USA; 5.Manila Observ, Manila, Philippines; 6.Naval Res Lab, CSC Inc, Monterey, CA USA; 7.Univ Wisconsin, Space Sci Engn Ctr, Madison, WI USA |
推荐引用方式 GB/T 7714 | Atwood, Samuel A.,Reid, Jeffrey S.,Kreidenweis, Sonia M.,et al. Size-resolved aerosol and cloud condensation nuclei (CCN) properties in the remote marine South China Sea - Part 1: Observations and source classification[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(2). |
APA | Atwood, Samuel A..,Reid, Jeffrey S..,Kreidenweis, Sonia M..,Blake, Donald R..,Jonsson, Haflidi H..,...&Simpas, James B..(2017).Size-resolved aerosol and cloud condensation nuclei (CCN) properties in the remote marine South China Sea - Part 1: Observations and source classification.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(2). |
MLA | Atwood, Samuel A.,et al."Size-resolved aerosol and cloud condensation nuclei (CCN) properties in the remote marine South China Sea - Part 1: Observations and source classification".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.2(2017). |
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