RAPID: 2018 Hurricane Season -- Study of Hurricane Florence at Landfall

RAPID：2018 年飓风季节——对飓风佛罗伦斯登陆时的研究

基本信息

批准号：
1902593
负责人：
Michael Biggerstaff
金额：
$ 14.32万
依托单位：
University of Oklahoma Norman Campus
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-12-01 至 2020-11-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1902593&HistoricalAwards=false
关键词：
RAPID 2018 Hurricane Season Study

项目摘要

This RAPID project seeks to take advantage of a unique data set captured during the landfall of Hurricane Florence in North Carolina during 13-14 September 2018. The University of Oklahoma C-band SR3 SMART radar, along with four Portable Integrated Precipitation Sensors (PIPS), and a mobile mesonet with radiosonde capability deployed in advance of Florence and collected more than 30 hours of radar and PIPS data along with twelve radiosonde profiles as the storm came ashore. The SR3 radar formed a 50 km baseline with the Wilmington NWS WSR-88D, providing two areas in which wind retrievals were able to be performed. The slow-moving center of circulation passed through both dual-Doppler lobes and generated numerous vortex Rossby wave (VRW) driven inner core rain bands and numerous mesovortices along the inner edge of the shrinking eyewall.Intellectual Merit:The data will be used to address the following scientific questions: (i) how frequently are asymmetries in the eyewall able to shed VRWs? (ii) what mechanisms appear to control the frequency of VRWs? (iii) to what extent do VRWs appear to be correlated to the formation of mesovortices along the inner edge of the eyewall? (iv) to what extent do eyewall mesovortices contribute to the maximum near-surface wind observed during landfall? (v) how do propagating VRWs modulate the boundary layer winds, thermodynamics, and atmospheric pressure? (vi) how is the observed damage to built structures related to attributes of the wind field?Much effort remains to be performed to quality assure the data and generate high quality wind fields for the research as well as to provide an unprecedented data set for validation of high-resolution numerical simulations of Florence. The RAPID grant would allow immediate processing of the data, ensuring quick publication of the research-quality radar-derived wind fields and PIPs data that would enable future research strategies by the PI and numerous other NSF sponsored researchers.Broader Impacts:This RAPID grant would encourage continued university support for SMART radar deployments in landfalling hurricanes. Data from the SMART radar deployment during Florence were distributed in realtime to the NWS and emergency managers office as well as the Office of Federal Coordinator in Meteorology through the Disaster Impacts Assessment Plan distribution list, which includes FEMA. Real-time winds were also sent to the NOAA National Hurricane Center. Additionally, the SMART radar data are used in graduate and undergraduate education at University of Oklahoma and made available to other university instructors for use in their class. Finally, the wind attribute maps (WAMs) generated from this research will be highly valued by the wind engineering community as they evaluate the causes of damage to structures along the coast and by the modeling community since the wind fields are needed for advanced validation of numerical simulations of landfalling tropical cyclones. The project will embrace collaborations with faculty at Texas Tech University, the University of Florida, Auburn University, and University of Illinois.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.

这个快速项目旨在利用2018年9月13日至14日在北卡罗来纳州飓风佛罗伦萨登陆期间捕获的独特数据集。俄克拉荷马州C频段SR3智能雷达大学，以及四个便携式集成降水传感器（PIPS），以及在佛罗里达和佛罗里达（radiose）的数据中，以及在佛罗里达（Radiper）上摄取的四个便携式集成降水传感器（PIPS），并在范围内与30个小时的数据进行了处理。当暴风雨来到岸上。 SR3雷达与Wilmington NWS WSR-88D形成了50公里的基线，提供了两个可以进行风检索的区域。循环的缓慢移动中心都穿过了双重多普勒裂片，并产生了许多涡旋rossby Wave（VRW）驱动的内部核心雨带和沿着收缩的eyewall eyeWall的内部边缘的众多中层雨带和众多的中盘。（ii）哪些机制似乎控制了VRW的频率？（iii）VRW在多大程度上似乎与沿眼墙内边缘的中边缘的形成相关？（iv）eyewall中层在多大程度上有助于在登陆过程中观察到的最大近地表风？（v）传播VRW如何调节边界层风，热力学和大气压？（vi）观察到的对与风场属性相关的建筑结构的损害如何进行？仍有许多努力要确保数据并为研究产生高质量的风场，以及为验证佛罗伦萨的高分辨率数值模拟验证前所未有的数据集。快速赠款将允许立即处理数据，确保快速发布研究质量的雷达衍生的风场和PIPS数据，这些数据将使PI和许多其他NSF赞助的研究人员能够实现未来的研究策略。BarDoarder的影响：这项快速赠款将鼓励继续登陆Harricricanes的智能雷达部署。通过灾难影响包括FEMA在内的评估计划分配列表，将佛罗伦萨智能雷达部署的数据实时分发给了NWS和紧急管理办公室以及气象学的联邦协调员办公室。实时风也被送往NOAA国家飓风中心。此外，智能雷达数据用于俄克拉荷马大学的研究生和本科教育，并向其他大学讲师提供班级。最后，这项研究产生的风格属性图（WAM）将受到风工程界的高度评价，因为它们评估了沿海地区结构损坏的原因和建模社区的损害，因为风场需要进行降落热带旋风的数值模拟的高级验证。该项目将与德克萨斯理工大学，佛罗里达大学，奥本大学和伊利诺伊大学的教师合作。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估来评估值得支持的。