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Long-term cloud condensation nuclei number concentration, particle number size distribution and chemical composition measurements at regionally representative observatories

机译:长期云凝结核数浓度,粒子数尺寸分布和化学成分测量在区域代表性观察室

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摘要

Aerosol-cloud interactions (ACI) constitute the single largest uncertainty in anthropogenic radiative forcing. To reduce the uncertainties and gain more confidence in the simulation of ACI, models need to be evaluated against observations, in particular against measurements of cloud condensation nuclei (CCN). Here we present a data set - ready to be used for model validation - of long-term observations of CCN number concentrations, particle number size distributions and chemical composition from 12 sites on 3 continents. Studied environments include coastal background, rural background, alpine sites, remote forests and an urban surrounding. Expectedly, CCN characteristics are highly variable across site categories. However, they also vary within them, most strongly in the coastal background group, where CCN number concentrations can vary by up to a factor of 30 within one season. In terms of particle activation behaviour, most continental stations exhibit very similar activation ratios (relative to particles 20 nm) across the range of 0.1 to 1.0% supersaturation. At the coastal sites the transition from particles being CCN inactive to becoming CCN active occurs over a wider range of the supersaturation spectrum.
机译:气溶胶云相互作用(ACI)构成了人为辐射强制的最大不确定性。为了减少不确定性并获得对ACI的模拟的更多信心,需要对云凝结核(CCN)的测量来评估模型的型号。在这里,我们提出了一种数据集 - 准备用于模型验证 - 从3种大洲的12个位点的CCN数浓度,粒子数尺寸分布和化学成分的长期观测。学习环境包括沿海背景,农村背景,高山网站,远程林和城市周围。值得下,CCN特征在站点类别中是高度变化的。然而,它们在沿海背景组中最强烈的情况下它们也会变化,其中CCN数量浓度在一个赛季中的CCN数量浓度可能变化。就颗粒活化行为而言,大多数大陆代码表现出非常相似的活化比(相对于颗粒& 20nm),其在0.1至1.0%的过饱和范围内。在沿海网站上,从粒子中的粒子转换在更广泛的超饱和度谱的范围内发生在变为CCN主动的粒子。

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