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RAPID: Sensing and Modeling Infrastructure for Storm Surge Monitoring and Forecasting in Coastal Zones

RAPID：沿海地区风暴潮监测和预报的传感和建模基础设施

基本信息

批准号：
1763203
负责人：
Jason Hallstrom
金额：
$ 9.95万
依托单位：
Florida Atlantic University
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：
2018-07-01 至 2020-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1763203&HistoricalAwards=false
关键词：
RAPID Sensing Modeling Infrastructure Storm

项目摘要

The Atlantic Coast is threatened by disasterous storms every year. The dangers of high winds are widely publicized, but flooding has been responsible for more than half of all associated deaths. Unfortunately, existing forecasting capabilities are limited. Failure to predict significant flooding is of obvious concern, but the risks associated with perpetually inflated forecasts could be equally damaging. A citizen who evacuated Hurricane Irma's path based on storm surge warnings, only to return home to limited flooding, might consider ignoring future surge forecasts. Depending on the storm, that decision could be an enormous mistake. This project addresses surge forecasting limitations. The intellectual merit of this project lies in computer and network systems research and computational earth systems modeling research to be undertaken along two connected paths. First, the project will pursue the design, implementation, and evaluation of a fundamentally new approach to achieving high-precision in situ measurement of storm-induced surge in challenging environments. Second, the project will pursue fundamental extensions to an existing modeling system comprising coupled atmospheric, oceanic, and hydrologic models. The work will focus on assimilation of in situ surge measurements to anchor and refine model outputs prior to, during, and after tropical storms.The broader impacts of this project will be significant: The world's coastal population is growing at an unprecedented rate. In the past four decades, the U.S. coastal population grew by 45%, with more than half of the population living in coastal counties. In the coming decades, coastal states' urban centers are expected to continue to grow. The resulting population density presents significant challenges. The ability of state and local governments to efficiently prepare for and respond to storm surge events is critical. This project will support significant progress toward the development of reliable storm surge monitoring and modeling systems.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.

大西洋海岸每年都受到灾难性风暴的威胁。大风的危险被广泛宣传，但洪水造成了一半以上的相关死亡。不幸的是，现有的预测能力有限。无法预测重大洪水显然令人担忧，但与长期夸大预测相关的风险可能同样具有破坏性。根据风暴潮警告撤离飓风Irma路径的公民，只会返回有限的洪水，可能会考虑忽略未来的浪涌预测。根据风暴的情况，这一决定可能是一个巨大的错误。该项目解决了激增预测的局限性。这个项目的智力价值在于计算机和网络系统研究和计算地球系统建模研究将沿着沿着两条相连的道路进行。首先，该项目将寻求设计、实施和评估一种全新的方法，以实现在具有挑战性的环境中对风暴引起的浪涌进行高精度原位测量。第二，该项目将寻求对现有建模系统的基本扩展，该系统包括耦合大气，海洋和水文模型。这项工作的重点是同化现场涌浪测量结果，以便在热带风暴之前、期间和之后对模型输出进行锚和改进。该项目的广泛影响将是显著的：世界沿海人口正以前所未有的速度增长。在过去的四十年里，美国沿海人口增长了45%，其中一半以上的人口居住在沿海县。在未来几十年，沿海各州的城市中心预计将继续增长。由此产生的人口密度带来了重大挑战。州和地方政府有效准备和应对风暴潮事件的能力至关重要。该项目将支持在开发可靠的风暴潮监测和建模系统方面取得重大进展。该奖项反映了NSF的法定使命，并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，被认为值得支持。