Key parameters for droplet evaporation and mixing at the cloud edge
Key parameters for droplet evaporation and mixing at the cloud edge
复制标题
云边缘液滴蒸发和混合的关键参数
DOI：
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发表时间：
2021
影响因子：
8.9
通讯作者：
B. Mehlig
中科院分区：
文献类型：
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作者：
J. Fries;G. Sardina;G. Svensson;B. Mehlig
液态水在无冰云中的分布决定了它们的辐射特性，这是天气和气候模型中不确定性的重要来源。蒸发和湍流混合导致云在液滴数密度上显示出大的变化，但在液滴尺寸上显示出相当小的变化（Beals等人，Science，2015，vol. 350，pp. 87-90）。然而，直接数值模拟的云边缘附近的蒸发和混合的联合作用预测相当不同的行为，以及如何调和这些结果与实验结果仍然是一个悬而未决的问题。从云中液滴的观测快照中推断混合和蒸发的历史是具有挑战性的，因为云是瞬态系统。我们制定了一个统计模型，提供了一个可靠的描述的蒸发混合过程中看到的直接数值模拟，并允许我们推断观察到的液滴种群的历史的重要方面，突出工作中的关键机制，并解释观测和模拟之间的差异。
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.
影响因子：
56.9
作者：
Beals, Matthew J.;Fugal, Jacob P.;Stith, Jeffrey L.
通讯作者：
Stith, Jeffrey L.
影响因子：
6.8
作者：
Kumar, Bipin;Goetzfried, Paul;Shaw, Raymond A.
通讯作者：
Shaw, Raymond A.