RAPID: Dual-Doppler Analysis of the Boundary Layer in Category-4 Hurricane Laura

RAPID：4 级飓风劳拉边界层的双多普勒分析

• 批准号: 2112980
• 负责人: Karen Kosiba
• 金额: $ 9.89万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2112980&HistoricalAwards=false
• 关键词: RAPID; Dual; Doppler; Analysis; Boundary

Hurricane Laura made landfall in southwestern Louisiana in August 2020 as a high-end Category 4 storm. The landfall represented a unique opportunity to make scientific measurements of one of the strongest storms to hit the United States. Two Doppler on Wheels mobile radars captured fine-scale details of the low-level winds of the hurricane, including the eyewall. This award is for analysis of the radar data in relation to scientific questions about the lowest levels of a hurricane, known as the hurricane boundary layer. This data has particular relevance to the hurricane forecasting community, as measurements of properties that are important for accurate numerical modeling are difficult to conduct. Thus, the data may have significant relevance to forecasting of future hurricane landfalls, which is important for public safety and the economy.The research team plans to analyze dual-Doppler data collected in the eyewall of Hurricane Laura to improve understanding of hurricane boundary layer structure in an intense hurricane. Multiple hours of continuous dual-Doppler data were collected in the inner bands and eyewall of Laura, which is a unique dataset for major hurricane landfalls at or near peak intensity. The researchers will derive 3D wind structure very near the surface (100m above ground level) as a function of time, along with Turbulent Kinetic Energy (TKE), Momentum Flux, and the Momentum Exchange (Drag) Coefficient (Cd). The main questions to be addressed using these data include: 1) How do hurricane boundary layer roll characteristics and associated TKE, fluxes, and Cd vary as a function of background wind speed and location in the hurricane, and 2) How do hurricane boundary layer structures affect measured wind gusts?This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

劳拉飓风于2020年8月在路易斯安那州西南部登陆，成为高端4类风暴。 登陆是一个独特的机会，可以对袭击美国的最强烈风暴之一进行科学测量。 车轮上的两个多普勒移动雷达捕获了飓风低水平风的细节，包括眼墙。 该奖项用于分析有关雷达数据，涉及有关飓风最低水平的科学问题，即飓风边界层。 该数据与飓风预测社区特别相关，因为难以执行对于准确的数值建模很重要的属性的测量。 因此，数据可能与预测未来飓风登陆的预测有关，这对公共安全和经济很重要。研究小组计划分析在劳拉飓风飓风的眼墙中收集的双人数据，以提高对强烈飓风中飓风边界层结构的了解。 在劳拉（Laura）的内部带和眼墙中收集了多个小时的连续双多普勒数据，这是一个独特的数据集，用于在峰值强度或接近峰值强度处或接近峰值。 研究人员将与时间的函数以及湍流动能（TKE），动量通量和动量交换（Drag）系数（CD）一起得出非常近的3D风结构（地面高于地面100m）。 使用这些数据要解决的主要问题包括：1）飓风边界层的特征以及相关的TKE，通量和CD如何随飓风中背景风速和位置的函数而变化，以及2）飓风边界层结构如何影响衡量的风阵风？该奖项奖励通过NSF的法定任务，反映了通过评估的范围来弥补构成的范围。