The Interaction Among Mesoscale Dynamics, Microphysical Properties and Radiative Effects of Mid-latitude Cirrus Clouds

中纬度卷云的介尺度动力学、微物理性质和辐射效应之间的相互作用

• 批准号: 1144017
• 负责人: Thomas Ackerman
• 金额: $ 54.61万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2016-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1144017&HistoricalAwards=false
• 关键词: Interaction; Among; Mesoscale; Dynamics; Microphysical

Cirrus clouds form under a variety of dynamical and thermodynamical conditions, and have a profound impact on the radiative energy balance of the Earth. The radiative properties and the radiative impact of cirrus clouds are inherently controlled by their microphysical and macrophysical properties. However, the physical and dynamical mechanisms that govern the formation, microphysical evolution, and the life cycle of cirrus clouds and influence their mesoscale variability are not very well understood, which in turn hinders confident quantification of the radiative impact of cirrus under various conditions. The primary goal of this research is to significantly improve our understanding of the linkages between the microphysical and macrophysical properties of mid-latitude cirrus clouds and the dynamical and thermodynamical properties of the air masses in which they form. We seek to provide a detailed and process-based understanding of the links between the large scale and mesoscale dynamical forcing, the microphysical and macrophysical properties of cirrus clouds and their radiative properties. The methodology used in this study combines (1) numerical simulations with a cloud-resolving regional model; with (2) a novel dynamical state classification technique to cluster cirrus cloud events according to large scale and mesoscale dynamical forcing; and (3) comparison of simulated cirrus cloud properties with observations from aircraft and remote sensors.The cloud-resolving regional model simulations allow for a detailed and process-based investigation of the microphysical and macrophysical properties of cirrus clouds, as well as provide deeper insight into the physical and dynamical mechanisms that affect the evolution and life cycle of cirrus and the mesoscale dynamical feedbacks that are caused by the presence of cirrus. The atmospheric state classification technique enables us to statistically link atmospheric dynamical states with the microphysical and macrophysical characteristics of cirrus clouds, allowing us to draw physically and statistically based conclusions regarding how cirrus cloud properties are affected by different large scale and mesoscale dynamical forcings. The results of the classification are crucial for evaluating and improving cirrus microphysical parameterizations in a regime dependent approach. Comparison of model simulations with observations makes use of an unprecedented data set of new microphysical observations in mid-latitude cirrus clouds.Intellectual merit Substantially improved understanding of the microphysical and dynamical controls of cirrus clouds and a better understanding of how these controls affect the macrophysical and radiative properties of mid-latitude cirrus will be obtained. This knowledge will be invaluable for improving microphysical parameterizations and lead to a more physically based representation of cirrus microphysical, macrophysical, and radiative properties in numerical models on various scales. The improved representation of cirrus cloud properties will then help to better quantify the radiative impact of mid-latitude cirrus.Broader impacts Graduate education and training, collaboration with other scientists, improvement of microphysical parameterization and representation of cirrus clouds in cloud-resolving regional models, and participation in international model inter-comparisons are all planned in this work. Newly acquired data sets and results will be archived and shared with the broader research community. Our research results will be documented in peer-reviewed publications and disseminated through our participation in and presentations at national and international workshops and conferences. In addition we will engage underrepresented minority students in our research and use elements of the data analysis in curriculum development for undergraduate and high school students.

卷云在各种动力和热力学条件下形成，对地球的辐射能量平衡产生深远的影响。 卷云的辐射特性和辐射影响本质上是由其微观物理和宏观物理特性控制的。 然而，人们对控制卷云的形成、微物理演化和生命周期以及影响其中尺度变化的物理和动力学机制还不太了解，这反过来又阻碍了对卷云在各种条件下的辐射影响的可靠量化。 这项研究的主要目标是显着提高我们对中纬度卷云的微观物理和宏观物理特性与其形成的气团的动力学和热力学特性之间联系的理解。 我们寻求对大尺度和中尺度动力强迫、卷云的微观物理和宏观物理特性及其辐射特性之间的联系提供详细的、基于过程的理解。 本研究中使用的方法结合了（1）数值模拟与云解析区域模型； (2)一种新颖的动力状态分类技术，根据大尺度和中尺度动力强迫对卷云事件进行聚类； (3) 模拟卷云特性与飞机和遥感器观测结果的比较。云解析区域模型模拟可以对卷云的微观物理和宏观物理特性进行详细且基于过程的研究，并提供更深入的见解研究影响卷云演化和生命周期的物理和动力学机制以及由卷云的存在引起的中尺度动力学反馈。 大气状态分类技术使我们能够在统计上将大气动力学状态与卷云的微观物理和宏观物理特征联系起来，使我们能够得出关于卷云特性如何受到不同大尺度和中尺度动力学强迫影响的物理和统计结论。 分类结果对于评估和改进依赖于状态的方法中的卷云微物理参数化至关重要。 模型模拟与观测的比较利用了中纬度卷云中新的微观物理观测的前所未有的数据集。智力价值大大提高了对卷云的微观物理和动力学控制的理解，并更好地理解了这些控制如何影响宏观物理和动力学将获得中纬度卷云的辐射特性。 这些知识对于改进微物理参数化至关重要，并导致在不同尺度的数值模型中以更加基于物理的方式表示卷云微物理、宏观物理和辐射特性。 卷云特性的改进表示将有助于更好地量化中纬度卷云的辐射影响。更广泛的影响研究生教育和培训、与其他科学家的合作、微物理参数化的改进以及云解析区域模型中卷云的表示，以及参与国际模型比对都是本次工作的计划。 新获得的数据集和结果将被存档并与更广泛的研究界共享。 我们的研究成果将记录在同行评审的出版物中，并通过我们参加国家和国际研讨会和会议并在会上发表演讲来传播。 此外，我们将让代表性不足的少数族裔学生参与我们的研究，并在本科生和高中生的课程开发中使用数据分析的要素。