CAREER: BREEZE: Boundary-layer REsearch and Education ZonE

职业：BREEZE：边界层研究和教育区

• 批准号: 1554055
• 负责人: Julie Lundquist
• 金额: $ 54.14万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-07-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1554055&HistoricalAwards=false
• 关键词: CAREER; BREEZE; Boundary; layer; REsearch

The turbulent movement of air is important for the transport of heat, momentum and moisture throughout the atmosphere. Turbulence is generally thought of as a small-scale phenomenon, and the generation and dissipation of turbulence has been assumed to be within one grid cell of a numerical weather model. However, with computer models running at finer resolution, it is not clear that this assumption is valid. This award will make use of a catalog of observations of wind and turbulence from lidar (Light Detection and Ranging) systems to study turbulence dissipation. The study will have an impact on weather forecasting, with specific applications to wind power production, air quality forecasting, fog, and forest fires. As a CAREER award, there is also a very large educational and outreach component. The focus of this aspect of the award is on creating teaching materials that are visually appealing and can be used from the middle school ages on up. The research team will help to create a lesson plan and to work with teachers to ensure use of the materials. A specific focus will be on the implementation of the materials in rural, under-served Colorado classrooms.Turbulence production and dissipation is assumed to be locally balanced in numerical models. However, as the models are run at finer resolution, this assumption no longer holds. The goal of this research project is to determine at what spatio-temporal scale the local imbalance between turbulence production and dissipation becomes important. Four research activities are planned to address this goal: (1) Quantify uncertainty in lidar estimates of dissipation, (2) Quantify the variability of dissipation through the construction of a data archive consisting of measurements classified by different meteorological and physical conditions, (3) Compare simulated dissipation variability to observations using WRF and WRF-LES modeling systems, (4) Test new parameterizations that do not assume locally balanced turbulence production and dissipation.

空气的湍流运动对于整个大气中热量、动量和水分的传递非常重要。 湍流通常被认为是一种小规模现象，并且湍流的产生和消散被假设在数值天气模型的一个网格单元内。 然而，随着计算机模型以更高分辨率运行，目前尚不清楚这一假设是否有效。 该奖项将利用激光雷达（光探测和测距）系统的风和湍流观测目录来研究湍流耗散。 这项研究将对天气预报产生影响，具体应用于风力发电、空气质量预报、雾和森林火灾。 作为职业奖，还有一个非常大的教育和推广部分。 该奖项的重点是创建具有视觉吸引力并且可以从中学年龄段开始使用的教材。 研究团队将帮助制定课程计划并与教师合作以确保材料的使用。 具体重点将放在科罗拉多州农村、服务不足的教室中实施这些材料。在数值模型中，假定湍流的产生和消散是局部平衡的。 然而，随着模型以更精细的分辨率运行，这一假设不再成立。 该研究项目的目标是确定在什么时空尺度上湍流产生和耗散之间的局部不平衡变得重要。 计划开展四项研究活动来实现这一目标：(1) 量化激光雷达耗散估计的不确定性，(2) 通过构建由不同气象和物理条件分类的测量数据组成的数据档案来量化耗散的变异性，(3) 将模拟的耗散变异性与使用 WRF 和 WRF-LES 建模系统的观测结果进行比较，(4) 测试不假设局部平衡湍流产生的新参数化和 耗散。