Collaborative Research: P2C2--Assessing Climate and Stochastic Forcing of North Atlantic Tropical Cyclone Activity over the Past Millennium

合作研究：P2C2——评估过去千年北大西洋热带气旋活动的气候和随机强迫

• 批准号: 2234815
• 负责人: Elizabeth Wallace
• 金额: $ 31.34万
• 依托单位: Old Dominion University Research Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2234815&HistoricalAwards=false
• 关键词: Collaborative; Research; P2C2; Assessing; Climate

This project aims to improve model predictions of tropical cyclones in coastal North America by combining past records of Atlantic hurricanes with tropical cyclone models of the North Atlantic. The U.S. coastal communities are susceptible to tropical cyclone (TC) damages, with urban infrastructure that is ill-equipped for TC-induced flooding. Recent active Atlantic hurricane seasons (i.e., 2020) have cast justified attention on the role of climate change in altering TCs in the North Atlantic. However, a robust analysis of the influence of longer-time scale climate variability on the frequency and trajectories of TC is hindered by the short observation datasets (~ 50 years available from satellite records). Past records of hurricanes (proxy records) can extend the record of TC statistics to thousands of years beyond observational data. But these records tend to capture only close-moving and intense storms which make it difficult to ascertain whether past records of hurricanes are related to climate variability or randomness (stochasticity). Therefore, this project proposes to rigorously assess uncertainties associated with past hurricane records (paleohurricanes) by analyzing existing proxies of TCs from the North Atlantic and comparing them to new TC model simulations of the past millennium. These data-model comparisons will then be used to both investigate the sensitivity of Atlantic TCs to changing climate drivers and feedbacks in a model world, and to test the ability of individual and networks of paleohurricane records in capturing TC climate in the real world. The potential Broader Impacts include a better understanding of the processes driving changes in tropical cyclones activity in the Atlantic and a potential improvement of the ability to predict future tropical cyclones risk for coastal communitiesSpecifically, the researchers will: 1) Generate North Atlantic TC datasets spanning multiple model simulations of the last millennium; 2) Investigate relationships between the past response of modeled TCs and climatic drivers (such as the North Atlantic Subtropical High and El Niño Southern Oscillation); 3) Integrate new TC simulations with existing records of past hurricanes spanning the past millennium to quantify the climate signal captured in individual records compared to local noise; and 4) Develop methodology for combining reconstructions of past hurricanes to maximize regional-to-basin-wide climate signal. This project will potentially expand the dataset of landfalling TCs to better quantify local risks and robustly assess the role for climate variability in driving TC activity. A storm dataset spanning the last 1000 years will be developed and available to the broader scientific community and stakeholders. This project will provide research experience and support for two early-career scientists, including research support for one postdoctoral fellow and undergraduate students at Rice University. The researchers will leverage undergraduate summer research projects through Rice’s anticipated 2020-2022 REU which recruits historically black college and community college students. Further, the researchers at Rice University will work with leaders of Girl Scouts San Jacinto Council to plan events focused on hurricane science and preparedness, including sessions that will engage the participants of the Girl Scout Global Leadership Conference, attended by 250 scouts and 150 troop leaders. The project will also support summer research experiences for high school students through collaboration with the Rice Design, Connect, Create (DCC). The 4-week summer program engages 35-60 minority participants in applied physics including climate, but also establishes networks and mentoring for participants across critical transitions in STEM career pathways – from high school, to graduate school, and beyond – known to be critical to retaining scientists in STEM fields. The outcome of this research project will be disseminated to thousands of students in Houston public schools through the Rice Research Experience for Teachers (RET) and Applied Math Program (AMP!).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.

该项目旨在通过将过去的大西洋飓风记录与北大西洋热带气旋模型相结合，改进对北美沿海热带气旋的模型预测。美国沿海社区容易受到热带气旋（TC）的破坏，城市基础设施对TC引发的洪水装备不足。最近活跃的大西洋飓风季节（即，2020年）对气候变化在改变北大西洋TC中的作用给予了合理的关注。然而，较长时间尺度的气候变率对TC的频率和轨迹的影响的可靠分析受到短观测数据集（约50年的卫星记录）的阻碍。过去的飓风记录（代理记录）可以将TC统计数据的记录延长到数千年，超出观测数据。但这些记录往往只捕捉到近距离移动和强烈的风暴，这使得很难确定过去的飓风记录是否与气候变异或随机性（随机性）有关。因此，该项目建议通过分析北大西洋TC的现有代理并将其与过去一千年的新TC模型模拟进行比较，来严格评估与过去飓风记录（古飓风）相关的不确定性。这些数据模型的比较，然后将被用来调查大西洋TC的敏感性变化的气候驱动程序和反馈在一个模型的世界，并测试个人和网络的古飓风记录捕捉TC气候在真实的世界的能力。潜在的更广泛的影响包括更好地了解驱动大西洋热带气旋活动变化的过程，以及预测沿海社区未来热带气旋风险的能力的潜在提高。具体而言，研究人员将：1）生成跨越上个千年多个模型模拟的北大西洋TC数据集; 2）调查模拟TC的过去响应与气候驱动因素之间的关系（如北大西洋副热带高压和厄尔尼诺南方涛动）; 3）将新的TC模拟与过去一千年的过去飓风的现有记录相结合，以量化与当地噪音相比的单个记录中捕获的气候信号;（4）制定方法，结合过去飓风的重建，以最大限度地提高区域到流域范围的气候信号。该项目将有可能扩大登陆TC的数据集，以更好地量化当地风险，并有力地评估气候变化在推动TC活动中的作用。将开发一个跨越过去1000年的风暴数据集，并提供给更广泛的科学界和利益攸关方。该项目将为两名早期职业科学家提供研究经验和支持，包括为莱斯大学的一名博士后研究员和本科生提供研究支持。研究人员将通过赖斯预期的2020-2022年REU利用本科生暑期研究项目，该项目招募历史上的黑人大学和社区大学学生。此外，莱斯大学的研究人员将与圣哈辛托女童子军理事会的领导人合作，规划以飓风科学和防备为重点的活动，包括将吸引250名童子军和150名部队领导人参加的女童子军全球领导会议的参与者。该项目还将通过与水稻设计，连接，创造（DCC）合作，支持高中生的夏季研究经验。为期4周的暑期课程吸引了35-60名少数民族参与者参与包括气候在内的应用物理学，但也为参与者建立了网络和指导，这些参与者跨越了STEM职业道路的关键过渡-从高中到研究生院，以及其他-众所周知，这对于留住STEM领域的科学家至关重要。该研究项目的成果将通过教师水稻研究经验（RET）和应用数学计划（AMP！）传播给休斯顿公立学校的数千名学生。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。

项目成果

Tropical cyclone frequency: turning paleoclimate into projections

• DOI: 10.1088/2752-5295/aca785
• 发表时间: 2022-11
• 期刊: Environmental Research: Climate
• 作者: E. Wallace;S. Dee