The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates
The relationship between cloud condensation nuclei (CCN) concentration and light extinction of dried particles: indications of underlying aerosol processes and implications for satellite-based CCN estimates
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DOI：
10.5194/acp-15-7585-2015
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发表时间：
2015-07
影响因子：
6.3
通讯作者：
Y. Shinozuka;A. Clarke;A. Nenes;A. Jefferson;R. Wood;C. McNaughton;J. Ström;P. Tunved;J. Redemann;K. Thornhill;R. Moore;T. Lathem;Jack J. Lin;Y. Yoon
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作者：
Y. Shinozuka;A. Clarke;A. Nenes;A. Jefferson;R. Wood;C. McNaughton;J. Ström;P. Tunved;J. Redemann;K. Thornhill;R. Moore;T. Lathem;Jack J. Lin;Y. Yoon
抽象的。我们研究了边界层云凝结核（CCN）的数量浓度和消光之间的关系，以调查潜在的气溶胶过程和基于卫星的CCN估计。对于不受尘埃影响的各种机载和地基观测，回归确定CCN（cm−3）在0.4 ± 0.1%过饱和度下为100.3α +1.3 0. 75，其中σ（Mm−1）是干燥颗粒的500 nm消光系数，α是埃指数。1 km水平平均数据与该近似值的偏差通常在2.0的因子内。α logCCN /α logσ小于1，因为在其他解释中，增长过程通常会使气溶胶散射更多的光，而不会增加它们的数量。这一点，除非特殊的气象气溶胶连接，关联的气溶胶光学厚度的两倍不到一倍的云凝结核，相反，以前的研究的基础上严重平均测量或卫星算法。
Abstract. We examine the relationship between the number concentration of boundary-layer cloud condensation nuclei (CCN) and light extinction to investigate underlying aerosol processes and satellite-based CCN estimates. For a variety of airborne and ground-based observations not dominated by dust, regression identifies the CCN (cm−3) at 0.4 ± 0.1% supersaturation with 100.3α +1.3σ0.75 where σ (Mm−1) is the 500 nm extinction coefficient by dried particles and α is the Angstrom exponent. The deviation of 1 km horizontal average data from this approximation is typically within a factor of 2.0. ∂logCCN / ∂logσ is less than unity because, among other explanations, growth processes generally make aerosols scatter more light without increasing their number. This, barring special meteorology–aerosol connections, associates a doubling of aerosol optical depth with less than a doubling of CCN, contrary to previous studies based on heavily averaged measurements or a satellite algorithm.