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: 2202783
• 负责人: Elizabeth Wallace
• 金额: $ 31.34万
• 依托单位: William Marsh Rice University
• 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 2022-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2202783&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的热带气旋模型结合起来，改进对北美沿海热带气旋的模型预测。美国沿海社区很容易受到热带气旋(TC)的破坏，城市基础设施装备不足，无法应对热带气旋引发的洪水。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技术转换中的作用给予了合理的关注。然而，较短的观测数据集(可从卫星记录获得的约50年)阻碍了对较长时间尺度气候变率对TC频率和轨迹的影响的可靠分析。过去的飓风记录(替代记录)可以将TC统计数据的记录延长到数千年，而不仅仅是观测数据。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与气候变异性还是随机性(随机性)有关。因此，该项目建议通过分析北大西洋现有的TC替代方案，并将它们与过去千年的新TC模式模拟进行比较，来严格评估与过去飓风记录(古飓风)相关的不确定性。然后，这些数据模型比较将被用来调查大西洋热带气旋对气候变化驱动因素和模型世界中的反馈的敏感性，并测试个人和古飓风记录网络在真实世界捕捉热带气旋气候的能力。潜在的更广泛的影响包括更好地理解推动大西洋热带气旋活动变化的过程，以及对沿海社区预测未来热带气旋风险的能力的潜在改进。具体地说，研究人员将：1)生成跨越过去1000年的多个模式模拟的北大西洋TC数据集；2)调查模拟的TC过去的响应与气候驱动因素(如北大西洋副热带高压和厄尔尼诺南方涛动)之间的关系；3)将新的TC模拟与过去1000年来过去飓风的现有记录相结合，以量化在个别记录中捕获的气候信号与本地噪声的比较；以及4)制定结合过去飓风重建的方法，以最大限度地提高区域到流域范围的气候信号。该项目可能会扩大登陆热带气旋的数据集，以更好地量化当地的风险，并有力地评估气候变化在推动热带气旋活动方面的作用。将开发一个跨越过去1000年的风暴数据集，并向更广泛的科学界和利益攸关方提供。该项目将为两名职业生涯早期的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利用本科暑期研究项目，该项目招募历史上的黑人学院和社区学院的学生。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，计划以飓风科学和准备为重点的活动，包括将吸引有250名童子军和150名部队领导人参加的女童军全球领导力会议的与会者参加的会议。该项目还将通过与大米设计、连接、创造(DCC)的合作，支持高中生的暑期研究体验。为期4周的暑期项目吸引了35-60名应用物理(包括气候)的少数族裔参与者，但也为参与者建立了网络和指导，帮助他们跨越STEM职业道路上的关键过渡-从高中到研究生，以及其他-已知对留住STEM领域的科学家至关重要。这项研究项目的成果将通过教师赖斯研究体验(RET)和应用数学项目(AMP！)向休斯顿公立学校的数千名学生传播。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。