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首页> 外文期刊>Atmospheric chemistry and physics >Chemical and physical influences on aerosol activation in liquid clouds: a study based on observations from the Jungfraujoch, Switzerland
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Chemical and physical influences on aerosol activation in liquid clouds: a study based on observations from the Jungfraujoch, Switzerland

机译：化学和物理对液云中气溶胶活化的影响：一项基于瑞士少女峰的观测结果的研究

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摘要

A simple statistical model to predict the number of aerosols which activate to form cloud droplets in warm clouds has been established, based on regression analysis of data from four summertime Cloud and Aerosol Characterisation Experiments (CLACE) at the high-altitude site Jungfraujoch (JFJ). It is shown that 79aEuro-% of the observed variance in droplet numbers can be represented by a model accounting only for the number of potential cloud condensation nuclei (defined as number of particles larger than 80aEuro-nm in diameter), while the mean errors in the model representation may be reduced by the addition of further explanatory variables, such as the mixing ratios of O-3, CO, and the height of the measurements above cloud base. The statistical model has a similar ability to represent the observed droplet numbers in each of the individual years, as well as for the two predominant local wind directions at the JFJ (northwest and southeast). Given the central European location of the JFJ, with air masses in summer being representative of the free troposphere with regular boundary layer in-mixing via convection, we expect that this statistical model is generally applicable to warm clouds under conditions where droplet formation is aerosol limited (i.e. at relatively high updraught velocities and/or relatively low aerosol number concentrations). A comparison between the statistical model and an established microphysical parametrization shows good agreement between the two and supports the conclusion that cloud droplet formation at the JFJ is predominantly controlled by the number concentration of aerosol particles.
机译：基于对来自高空站点少女峰（JFJ）的四个夏季云和气溶胶表征实验（CLACE）数据的回归分析，建立了一个简单的统计模型来预测激活并在暖云中形成云滴的气溶胶数量。 。结果表明，可以通过仅代表潜在云凝结核数（定义为直径大于80aEuro-nm的粒子数）的模型来表示观测到的液滴数量方差的79aEuro-％。可以通过添加其他说明性变量来减少模型表示，例如O-3，CO的混合比以及云层上方的测量高度。统计模型具有类似的能力，可以表示每年在各个年份以及在JFJ（西北和东南）的两个主要局部风向中观察到的液滴数。考虑到JFJ在欧洲中部的位置，夏季的空气质量代表了自由对流层，通过对流进行规则边界层混合，我们预计该统计模型通常适用于液滴形成受气溶胶限制的条件下的暖云（即较高的上风速度和/或较低的气溶胶浓度）。统计模型与已建立的微物理参数化之间的比较表明两者之间有很好的一致性，并支持以下结论：JFJ处的云滴形成主要受气溶胶颗粒的数量浓度控制。

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