Integrated Laboratory and Modeling Studies of Early Cold-Cloud Development

温度低于 0 摄氏度的大气云中发生的微物理过程链中的混杂环节之一是气相冰粒的生长。最近的实验室测量表明，对于小冰晶来说，质量调节系数（生长效率的衡量标准）非常小。数值模型研究表明，模拟的卷云中冰粒浓度和过饱和度，以及混合相云的冰川化速率，都敏感地取决于假设的质量调节系数。 如果质量调节系数较低，则生长的冰粒不会像系数较高时那样有效地消耗水蒸气的过饱和度。然后，过饱和度在上升的云团中达到更高的水平，并且由于较高的过饱和度，更多的冰颗粒在合适的气溶胶颗粒上成核。 较小生长的冰颗粒浓度的增加最终会耗尽过饱和蒸气，云达到成熟状态，与质量调节系数较高的情况相比，较小颗粒的浓度更高。这项综合实验室建模研究的重点是冰从气相的早期生长，以减少过去测量和模拟中的不确定性，并测试有关气相沉积分子机制的假设。近年来，实验室技术和数值模拟能力都已大大成熟，现在可以取得重大的新进展。实验室方法利用电动悬浮将单个冰颗粒与系统壁隔离，并允许在精确控制的环境条件下无限期地跟踪颗粒生长。关于冰生长速率作为大小和过饱和度函数的新数据将有助于限制云模型中冰生长的数学表示。一套数值模型将与实验室数据结合使用来指导实验室工作，从机制方面解释实验结果，并提供将我们的实验室结果外推到云规模系统的方法。这项实验室模拟研究所提供的协同作用将为研究目前限制准确模拟冷云演化能力的冰过程提供新的线索。这项研究对大气科学和社会具有潜在的广泛影响。 更好地了解冷云的微物理演化将增强对云在天气和气候过程中所扮演的角色的理解。该研究将培养研究生，并让高年级本科生接触现代建模和实验研究方法。与学院博物馆合作，将继续向不同受众展示云流程的成功经验，帮助将这些流程与新一代 K-12 学生联系起来。此外，地块微物理模型将利用学院资源开发成基于网络的大学课堂教学工具。

One of the confounding links in the chain of microphysical processes occurring in atmospheric clouds at temperatures below 0 degress C is the growth of ice particles from the vapor phase. Recent laboratory measurements suggest that the mass accommodation coefficient, a measure of growth efficiency, is very small for small ice crystals. Numerical modeling studies have shown that the simulated concentrations of ice particles and supersaturations in cirrus clouds, as well as the rates of glaciation of mixed-phase clouds, all depend sensitively on the assumed mass accommodation coefficient. If the mass accommodation coefficient is low, then growing ice particles do not deplete the supersaturation of water vapor as effectively as they would if the coefficient was higher. Then supersaturations reach higher levels in ascending cloud parcels, and more ice particles are nucleated on suitable aerosol particles due to the higher supersaturations. The increase in concentration of smaller growing ice particles eventually depletes the supersaturated vapor and the cloud reaches a mature state with higher concentrations of smaller particles than would be the case if the mass accommodation coefficient were higher.This integrated laboratory-modeling study is focused on the early growth of ice from the vapor phase in order to reduce uncertainties in past measurements and simulations, and to test hypotheses regarding the molecular mechanisms of vapor deposition. Both laboratory techniques and numerical modeling capabilities have matured greatly in recent years, now permitting significant new progress to be made. The laboratory methods make use of electrodynamic levitation to isolate individual ice particles from system walls and permit particle growth to be followed indefinitely under precisely controlled environmental conditions. New data on ice growth rates as functions of size and supersaturation will help constrain the mathematical representation of ice growth in cloud models. A suite of numerical models will be used in conjunction with the laboratory data to guide the laboratory work, interpret the experimental findings in terms of mechanisms, and provide a means for extrapolating our laboratory results to cloud-scale systems. The synergism afforded by this laboratory-modeling study will allow new light to be shed on ice processes that currently are limiting capability to simulate cold-cloud evolution accurately.This research has potentially broad impacts on the atmospheric sciences and society. Improved understanding of microphysical evolution of cold clouds will enhance understanding of the roles played by clouds in weather and climate processes. The research will train graduate students and give advanced undergraduate students exposure to modern research methods in modeling and experimentation. Past successes in demonstrating cloud processes to diverse audiences will be continued in collaboration with the College museum, helping to relate these processes to new generations of K-12 students. Moreover, parcel microphysical models will be developed into web-based college classroom teaching tools using College resources.