DOI: 10.1016/j.atmosenv.2017.03.036
Scopus记录号: 2-s2.0-85019623206
论文题名: Aerosol physicochemical effects on CCN activation simulated with the chemistry-climate model EMAC
作者: Chang D ; Y ; , Lelieveld J ; , Tost H ; , Steil B ; , Pozzer A ; , Yoon J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2017
卷: 162 起始页码: 127
结束页码: 140
语种: 英语
英文关键词: Aerosol size
; Aerosol-cloud interaction
; CCN activation
; Chemical composition
; EMAC model
; Global scale
; Hygroscopicity
Scopus关键词: Aerosols
; Air pollution
; Atmospheric chemistry
; Climate models
; Drops
; Nucleation
; Aerosol size
; Aerosol-cloud interaction
; Ccn activations
; Chemical compositions
; Global scale
; Hygroscopicity
; Chemical activation
; aerosol
; aerosol composition
; atmospheric chemistry
; atmospheric modeling
; atmospheric pollution
; chemical composition
; climate modeling
; cloud condensation nucleus
; cloud droplet
; cloud microphysics
; concentration (composition)
; global perspective
; hygroscopicity
; Northern Hemisphere
; particle size
; physicochemical property
; supersaturation
; aerosol
; air pollution
; Article
; Asia
; atmosphere
; chemical composition
; climate
; climate change
; cloud
; cloud condensation nuclei
; comparative study
; concentration (parameters)
; environmental parameters
; Europe
; latitude
; mineral dust
; Northern Hemisphere
; particle size
; particulate matter
; physical chemistry
; precipitation
; precursor
; priority journal
; radiation
; sea surface temperature
; seasonal variation
; simulation
; United States
; urban area
; water vapor
; wettability
; Europe
; Far East
; United States
Scopus学科分类: Environmental Science: Water Science and Technology
; Earth and Planetary Sciences: Earth-Surface Processes
; Environmental Science: Environmental Chemistry
英文摘要: This study uses the EMAC atmospheric chemistry-climate model to simulate cloud properties with a prognostic cloud droplet nucleation scheme. We present modeled global distributions of cloud condensation nuclei (CCN) number concentrations and CCN activation rates, together with the effective hygroscopicity parameter κ, to describe the aerosol chemical composition effect on CCN activation. Large particles can easily activate into cloud droplets, even at low κ values due to the dominant size effect in cloud droplet formation. Small particles are less efficiently activated as CCN, and are more sensitive to aerosol composition and supersaturation. Since the dominant fraction of small particles generally originates from anthropogenic precursor emissions over land, this study focuses on the influence of the continental atmosphere, using a prognostic cloud droplet nucleation scheme that considers aerosol-cloud interactions during cloud formation, together with a double-moment cloud microphysics scheme. The agreement of simulated clouds and climate with observations generally improves over the Northern Hemisphere continents, particularly high air pollution regions such as Eastern US, Europe, East Asia by accounting for aerosol-cloud interactions that include impacts of chemical composition on CCN activation. © 2017 The Authors Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/82824
Appears in Collections: 气候变化事实与影响
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作者单位: Atmospheric Chemistry Department, Max-Planck Institute for Chemistry, P. O. Box 3060, Mainz, Germany; The Cyprus Institute, P. O. Box 27456, Nicosia, Cyprus; Institute for Atmospheric Physics, Johannes Gutenberg University Mainz, Mainz, Germany; Climate and Air Quality Research Department, National Institute of Environmental Research (NIER)Incheon, South Korea
Recommended Citation:
Chang D,Y,, Lelieveld J,et al. Aerosol physicochemical effects on CCN activation simulated with the chemistry-climate model EMAC[J]. Atmospheric Environment,2017-01-01,162