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Relationships between particles, cloud condensation nuclei and cloud droplet activation during the third Pallas Cloud Experiment

机译:第三次帕拉斯云实验中的粒子,云凝结核与云滴活化之间的关系

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Concurrent measurement of aerosols, cloud condensation nuclei (CCN) and cloud droplet activation were carried out as a part of the third Pallas Cloud Experiment (PaCE-3) which took place at a ground based site located on northern Finland during the autumn of 2009. In this study, we investigate relationships between the aerosol properties, CCN and size resolved cloud droplet activation. During the investigated cloudy periods, the inferred number of cloud droplets (CDNC) varied typically between 50 and 150 cm~(-3) and displayed a linear correlation both with the number of particles having sizes over 100 nm and with the CCN concentrations at 0.4% supersaturation. Furthermore, the diameter corresponding to the 50% activation fraction, D_(50), was generally in the range of 80 to 120 nm. The measured CCN concentrations were compared with predictions of a numerical model which used the measured size distribution and size resolved hygroscopicity as input. Assuming that the droplet surface tension is equal to that of water, the measured and predicted CCN concentrations were generally within 30%. We also simulated size dependent cloud droplet activation with a previously developed air parcel model. By forcing the model to reproduce the experimental values of CDNC, adiabatic estimates for the updraft velocity and the maximum supersaturation reached in the clouds were derived. Performed sensitivity studies showed further that the observed variability in CDNC was driven mainly by changes in the particle size distribution while the variations in the updraft velocity and hygroscopicity contributed to a lesser extent. The results of the study corroborate conclusions of previous studies according to which the number of cloud droplets formed in clean air masses close to the Arctic is determined mainly by the number of available CCN.
机译:气溶胶,云凝结核(CCN)和云滴活化的同时测量是第三次帕拉斯云实验(PaCE-3)的一部分,该实验于2009年秋天在芬兰北部的地面站点进行。在这项研究中,我们调查了气溶胶特性,CCN与大小分辨的云滴活化之间的关系。在研究的阴天期间,推断的云滴数(CDNC)通常在50至150 cm〜(-3)之间变化,并且与尺寸超过100 nm的粒子数和CCN浓度为0.4时均显示线性相关性%过饱和。此外,对应于50%活化分数D_(50)的直径通常在80至120nm的范围内。将测得的CCN浓度与数值模型的预测值进行比较,该数值模型使用测得的尺寸分布和尺寸分辨的吸湿性作为输入。假设液滴的表面张力等于水的张力,则测得和预测的CCN浓度通常在30%以内。我们还使用先前开发的航空模型模拟了大小依赖的云滴激活。通过强迫模型重现CDNC的实验值,得出了上升速度和云中达到的最大过饱和度的绝热估计值。进行的敏感性研究进一步表明,CDNC中观察到的变异性主要是由粒径分布的变化驱动的,而上升气流速度和吸湿性的变化所占的比例较小。该研究结果证实了先前研究的结论,根据该结论,在靠近北极的洁净空气团中形成的云滴数量主要由可利用的CCN数量决定。

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