Droplet growth or evaporation does not buffer the variability in supersaturation in clean clouds

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Jesse C. Anderson, Ian Helman, R. A. Shaw, W. Cantrell
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Abstract

Water vapor supersaturation in clouds is a random variable that drives activation and growth of cloud droplets. The Pi Convection-Cloud Chamber generates a turbulent cloud with a microphysical steady-state that can be varied from clean to polluted by adjusting the aerosol injection rate. The supersaturation distribution and its moments, e.g., mean and variance, are investigated for varying cloud microphysical conditions. High-speed and co-located Eulerian measurements of temperature and water vapor concentration are combined to obtain the temporally resolved supersaturation distribution. This allows quantification of the contributions of variances and covariances between water vapor and temperature. Results are consistent with expectations for a convection chamber, with strong correlation between water vapor and temperature; departures from ideal behavior can be explained as resulting from dry regions on the warm boundary, analogous to entrainment. The saturation ratio distribution is measured under conditions that show monotonic increase of liquid water content and decrease of mean droplet diameter with increasing aerosol injection rate. The change in liquid water content is proportional to the change in water vapor concentration between no-cloud and cloudy conditions. Variability in the supersaturation remains even after cloud droplets are formed, and no significant buffering is observed. Results are interpreted in terms of a cloud microphysical Damköhler number (Da), under conditions corresponding to Da ≲ 1, i.e., the slow-microphysics regime. This implies that clouds with very clean regions, such that Da ≲ 1 is satisfied, will experience supersaturation fluctuations without them being buffered by cloud droplet growth.
液滴增长或蒸发并不能缓冲洁净云中过饱和度的变化
云中的水蒸气过饱和是一个随机变量,它驱动云滴的激活和生长。Pi对流云室产生的湍流云具有微物理稳态,可以通过调整气溶胶注入速率从清洁到污染变化。研究了不同云微物理条件下的过饱和分布及其矩,如平均值和方差。高速和同步欧拉测量温度和水蒸气浓度相结合,以获得时间分辨的过饱和分布。这样就可以量化水汽和温度之间的方差和协方差的贡献。结果与对流室的预期结果一致,水蒸气与温度之间具有很强的相关性;偏离理想的行为可以解释为由于温暖边界上的干燥区域,类似于夹带。随着气溶胶注入量的增加,液态水含量单调增加,液滴平均直径单调减小。在无云和多云条件下,液态水含量的变化与水蒸气浓度的变化成正比。即使在云滴形成之后,过饱和的变化仍然存在,并且没有观察到明显的缓冲。结果用云微物理Damköhler数(Da)来解释,对应于Da≤1的条件,即慢微物理状态。这意味着具有非常干净的区域的云,如满足Da > 1,将经历过饱和波动,而不会被云滴生长所缓冲。
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来源期刊
Journal of the Atmospheric Sciences
Journal of the Atmospheric Sciences 地学-气象与大气科学
CiteScore
0.20
自引率
22.60%
发文量
196
审稿时长
3-6 weeks
期刊介绍: The Journal of the Atmospheric Sciences (JAS) publishes basic research related to the physics, dynamics, and chemistry of the atmosphere of Earth and other planets, with emphasis on the quantitative and deductive aspects of the subject. The links provide detailed information for readers, authors, reviewers, and those who wish to submit a manuscript for consideration.
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