CAREER: An Observational and Numerical Study of Multi-scale Transport and Mixing Processes in the Convective Boundary Layer over Mountains

职业：山区对流边界层多尺度传输和混合过程的观测和数值研究

• 批准号: 1151445
• 负责人: Stephan De Wekker
• 金额: $ 63.05万
• 依托单位: University of Virginia Main Campus
• 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: 2012-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1151445&HistoricalAwards=false
• 关键词: CAREER; Observational; Numerical; Study; Multi

The lowest layers of the atmosphere and their interactions with underlying complex terrain significantly influence forecasts of weather, distributions of aerosols and associated restrictions to visibility, and behavior of the earth's climate system. In recent years field studies have produced a wealth of data on the lower atmosphere over mountainous terrain. The goals of this project are to exploit these untapped data to 1) determine and quantify the spatial and temporal variability of aerosol and convective boundary layer structure in mountainous terrain and to identify the multi-scale processes responsible for this variability, 2) evaluate and improve numerical model representations of transport and mixing processes and associated orographic controls on aerosol distributions and convective boundary layer structure, and 3) create engaging experiences for K-12, undergraduate and graduate students that will allow them acquire and apply scientific inquiry skills. This effort will utilize existing surface and airborne data sets including those from the T-REX (Terrain-induced Rotors Experiment) in which Doppler lidars play a critical role, as well as more comprehensive measurements from orbital platforms.The intellectual merit of this effort centers on development of more comprehensive data-driven descriptions of convectively-modified atmospheric behavior over complex terrain as well as new approaches for improved numerical representation of the effects of mountains on the lower atmosphere in regional and global models. Broader impacts of this effort will include significant learning experiences created through 1) the development of online modules enabling and encouraging scientific inquiry, 2) partnerships fostering national and international collaboration, and 3) hands-on activities involving field work and atmospheric modeling. A new meteorological facility in the Shenandoah National Park of Virginia is at the core of the hands-on student educational component of this effort, and will also allow for outreach to park visitors. National and international collaboration will take place with short-term visits from international research fellows and underrepresented undergraduate students during five summers. The development of online modules, hands-on experiences and national and international collaboration will promote lasting knowledge of scientific principles in mountain meteorology. In the longer term, results from this study will be relevant for a wide range of applications including weather prediction, regional and global climate, and air quality management.

大气的最低层及其与底层复杂地形的相互作用显着影响天气预测、气溶胶分布和相关的能见度限制以及地球气候系统的行为。 近年来，实地研究产生了大量有关山区低层大气的数据。 该项目的目标是利用这些未开发的数据 1) 确定和量化山区气溶胶和对流边界层结构的空间和时间变化，并确定造成这种变化的多尺度过程，2) 评估和改进传输和混合过程的数值模型表示以及气溶胶分布和对流边界层结构的相关地形控制，3) 为 K-12、本科生和研究生创造引人入胜的体验，使他们能够获得和应用科学探究技能。 这项工作将利用现有的地面和机载数据集，包括来自多普勒激光雷达发挥关键作用的 T-REX（地形感应转子实验）的数据集，以及来自轨道平台的更全面的测量结果。这项工作的智力价值集中在开发更全面的数据驱动的对复杂地形上对流改变的大气行为的描述，以及改进山区和全球模型中低层大气影响的数值表示的新方法。 这项工作的更广泛影响将包括通过以下方式创造重要的学习经验：1）开发在线模块，支持和鼓励科学探究；2）建立伙伴关系，促进国家和国际合作；3）涉及实地工作和大气建模的实践活动。 弗吉尼亚州谢南多厄国家公园的一个新气象设施是这项工作中学生实践教育部分的核心，也将有助于向公园游客进行宣传。 国内和国际合作将通过国际研究人员和代表性不足的本科生在五个夏天的短期访问来进行。 在线模块的开发、实践经验以及国家和国际合作将促进对山地气象科学原理的持久了解。 从长远来看，这项研究的结果将与广泛的应用相关，包括天气预报、区域和全球气候以及空气质量管理。