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Key parameters for droplet evaporation and mixing at the cloud edge
Quarterly Journal of the Royal Meteorological Society ( IF 3.0 ) Pub Date : 2021-03-08 , DOI: 10.1002/qj.4015
J. Fries 1 , G. Sardina 2 , G. Svensson 3 , B. Mehlig 1
Affiliation  

The distribution of liquid water in ice-free clouds determines their radiative properties, a significant source of uncertainty in weather and climate models. Evaporation and turbulent mixing cause a cloud to display large variations in droplet number density, but quite small variations in droplet size (Beals et al., Science, 2015, vol. 350, pp. 87–90). However, direct numerical simulations of the joint effect of evaporation and mixing near the cloud edge predict quite different behaviours, and how to reconcile these results with the experimental findings remains an open question. To infer the history of mixing and evaporation from observational snapshots of droplets in clouds is challenging, because clouds are transient systems. We formulated a statistical model that provides a reliable description of the evaporation–mixing process as seen in direct numerical simulations and allows us to infer important aspects of the history of observed droplet populations, highlighting the key mechanisms at work and explaining the differences between observations and simulations.

中文翻译:

云边缘液滴蒸发和混合的关键参数

无冰云中液态水的分布决定了它们的辐射特性,这是天气和气候模型不确定性的重要来源。蒸发和湍流混合导致云显示液滴数密度的较大变化,但液滴尺寸的变化非常小(Beals等人,2007 年)。, 科学, 2015, vol. 350,第 87-90 页)。然而,云边缘附近蒸发和混合的联合效应的直接数值模拟预测了完全不同的行为,如何将这些结果与实验结果相协调仍然是一个悬而未决的问题。从云中液滴的观测快照推断混合和蒸发的历史具有挑战性,因为云是瞬态系统。我们制定了一个统计模型,该模型提供了直接数值模拟中蒸发混合过程的可靠描述,并使我们能够推断观察到的液滴种群历史的重要方面,突出工作中的关键机制并解释观察和观察之间的差异。模拟。
更新日期:2021-03-08
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