PREEVENTS Track 2: Collaborative Research: A Dynamic Unified Framework for Hurricane Storm Surge Analysis and Prediction Spanning across the Coastal Floodplain and Ocean

预防事件轨道 2:协作研究:跨沿海洪泛区和海洋的飓风风暴潮分析和预测的动态统一框架

基本信息

  • 批准号:
    1854986
  • 负责人:
  • 金额:
    $ 35.94万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Continuing Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-08-15 至 2024-07-31
  • 项目状态:
    已结题

项目摘要

Storm-driven coastal flooding is influenced by many physical processes including riverine discharges, regional rainfall, wind, atmospheric pressure, wave-induced set up, wave runup, tides, and fluctuating baseline ocean water levels. Operational storm surge models such as those used by NOAA's Ocean Prediction Center (Extratropical Surge and Tide Operational Forecast System) incorporate a variety of these processes including riverine discharges, atmospheric winds and pressure, waves, and tides. However, coastal surge models do not typically incorporate the impact of rainfall across the coastal floodplain nor fluctuations in background water levels due to the oceanic density structure. Nonetheless, the floodplain hydrology and ocean baseline water levels provide vital controls in riverine and estuarine environments (e.g., the dramatic effect seen in the Houston metropolitan region during Hurricane Harvey in 2017 and in North Carolina during Hurricane Florence in 2018). Recent events have shown that a unified approach that incorporates all the relevant physical processes is critical for accurate predictive simulations of coastal flooding due to extreme events. This project will tackle this challenge by melding hydrology, hydraulics, and waves into a dynamic unified computational framework that uses unstructured meshes spanning from the deep ocean to upland areas and across the coastal floodplain. Improved capacity for flood risk managers, the insurance industry, and city planners to evaluate flood risk across the entire coastal floodplain. Improved models will lead to better guidance on development and construction practices, will help make cities more resilient and will reduce risk for coastal populations and infrastructure. In addition, this work will improve coastal flood forecasting enabling federal, state, and local disaster managers, to optimize issuing warnings for evacuation and emergency planning. The collaboration between the ocean circulation, coastal hydrodynamics, and hydrology modeling communities fostered by this project will help support ambitious projects such as NOAA's National Water Center's National Integrated Water Model, which is at the preliminary stages of integration of hydrology and coastal hydrodynamics. Training of students at the intersection of hydrology, coastal hydrodynamics, physical oceanography, and computational mathematics, to help develop and apply ever-more complex and advanced models in academia, government and industry.The proposed unified framework will improve the predicted water level gradient and flows throughout the coastal floodplain by integrally considering the rainfall-driven hydrology within the coastal floodplain as well as improving the background open ocean water level. Well-developed but coarse global ocean models will be heterogeneously coupled to high-resolution 2D shallow water equation models in order to account for large-scale baroclinic ocean processes that impact coastal water levels. Interface strategies and conditions between heterogeneous physics will be developed that allow the interfaces to move in time and space for the range of physics from dry to surface runoff to pressurized flow. Applying the right physics and associated mathematical models as the storms evolve will result in more robust and accurate models, as well as much more efficient models. This will dynamically account for the hydrologic - hydrodynamic interaction of water across the floodplain. Dynamic load balancing will account for widely varying computational (CPU) costs for each set of physics and the dynamic migration of the physics will be implemented within the heterogeneous parallel computing environment.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.
风暴驱动的沿海洪水受到许多物理过程的影响,包括河流排放、区域降雨、风、大气压力、波浪引起的建立、波浪上升、潮汐和海洋基线水位波动。操作风暴潮模型,如NOAA海洋预测中心(温带风暴潮和潮汐操作预报系统)使用的模型,包含了各种过程,包括河流排放、大气风和压力、波浪和潮汐。然而,沿海浪涌模式通常不考虑沿海洪泛区降雨的影响,也不考虑由于海洋密度结构引起的背景水位波动。尽管如此,洪泛区水文和海洋基线水位对河流和河口环境提供了至关重要的控制(例如,2017年哈维飓风和2018年佛罗伦萨飓风期间在休斯顿大都会地区所看到的巨大影响)。最近的事件表明,结合所有相关物理过程的统一方法对于极端事件引起的沿海洪水的准确预测模拟至关重要。该项目将通过将水文、水力学和波浪融合到一个动态的统一计算框架中来解决这一挑战,该框架使用从深海到高地地区和整个沿海洪泛平原的非结构化网格。提高洪水风险管理者、保险业和城市规划者评估整个沿海洪泛平原洪水风险的能力。改进后的模型将为开发和建设实践提供更好的指导,将有助于提高城市的抵御能力,并将减少沿海人口和基础设施面临的风险。此外,这项工作将改进沿海洪水预报,使联邦、州和地方灾害管理人员能够优化发布疏散和应急计划的预警。该项目促进了海洋环流、沿海水动力学和水文建模社区之间的合作,将有助于支持雄心勃勃的项目,如NOAA国家水中心的国家综合水模型,该模型正处于水文学和沿海水动力学整合的初步阶段。培养水文学、海岸水动力学、物理海洋学和计算数学交叉学科的学生,帮助他们在学术界、政府和工业界开发和应用越来越复杂和先进的模型。提出的统一框架将通过综合考虑沿海漫滩内降雨驱动的水文以及改善背景开阔海洋水位,改善整个沿海漫滩的水位梯度和流量预测。发达但粗糙的全球海洋模型将与高分辨率二维浅水方程模型非均匀耦合,以解释影响沿海水位的大尺度斜压海洋过程。将开发异质物理之间的界面策略和条件,允许界面在时间和空间上移动,从干燥到地表径流再到加压流动的物理范围。随着风暴的演变,应用正确的物理和相关的数学模型将产生更可靠和准确的模型,以及更有效的模型。这将动态地解释水在洪泛平原上的水文-水动力相互作用。动态负载平衡将考虑到每组物理的计算(CPU)成本的广泛变化,并且物理的动态迁移将在异构并行计算环境中实现。该奖项反映了美国国家科学基金会的法定使命,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。

项目成果

期刊论文数量(7)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Discontinuous Galerkin methods for a dispersive wave hydro-sediment-morphodynamic model
  • DOI:
    10.1016/j.cma.2021.113684
  • 发表时间:
    2020-10
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kazbek Kazhyken;J. Videman;C. Dawson
  • 通讯作者:
    Kazbek Kazhyken;J. Videman;C. Dawson
Cross-mode stabilized stochastic shallow water systems using stochastic finite element methods
Developing a Modeling Framework to Simulate Compound Flooding: When Storm Surge Interacts With Riverine Flow
开发模拟复合洪水的建模框架:当风暴潮与河流相互作用时
  • DOI:
    10.3389/fclim.2020.609610
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Loveland, Mark;Kiaghadi, Amin;Dawson, Clint N.;Rifai, Hanadi S.;Misra, Shubhra;Mosser, Helena;Parola, Alessandro
  • 通讯作者:
    Parola, Alessandro
A stable mixed finite element method for nearly incompressible linear elastostatics
近不可压缩线性弹性静力学的稳定混合有限元方法
Discontinuous Galerkin methods for a dispersive wave hydro-morphodynamic model with bed-load transport
  • DOI:
    10.1016/j.cma.2020.113592
  • 发表时间:
    2020-05
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Kazbek Kazhyken;J. Videman;C. Dawson
  • 通讯作者:
    Kazbek Kazhyken;J. Videman;C. Dawson
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Clinton Dawson其他文献

Clinton Dawson的其他文献

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{{ truncateString('Clinton Dawson', 18)}}的其他基金

Collaborative Research: Advancing the Data-to-Distribution Pipeline for Scalable Data-Consistent Inversion to Quantify Uncertainties in Coastal Hazards
合作研究:推进数据到分发管道,实现可扩展的数据一致反演,以量化沿海灾害的不确定性
  • 批准号:
    2208461
  • 财政年份:
    2022
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Construction and Analysis of Numerical Methods for Stochastic Inverse Problems with Application to Coastal Hydrodynamics
合作研究:随机反问题数值方法的构建和分析及其在海岸流体动力学中的应用
  • 批准号:
    1818847
  • 财政年份:
    2018
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Numerical and Probabilistic Modeling of Aboveground Storage Tanks Subjected to Multi-Hazard Storm Events
合作研究:遭受多重灾害风暴事件的地上储罐的数值和概率建模
  • 批准号:
    1635115
  • 财政年份:
    2016
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
SI2-SSI: Collaborative Research: STORM: A Scalable Toolkit for an Open Community Supporting Near Realtime High Resolution Coastal Modeling
SI2-SSI:协作研究:STORM:支持近实时高分辨率海岸建模的开放社区的可扩展工具包
  • 批准号:
    1339801
  • 财政年份:
    2014
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Computational Methods for Simulating Complex Coastal Watersheds and Floodplains
合作研究:模拟复杂沿海流域和洪泛区的计算方法
  • 批准号:
    1217071
  • 财政年份:
    2012
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Data-driven Inverse Sensitivity Analysis for Predictive Coastal Ocean Modeling
合作研究:用于预测沿海海洋建模的数据驱动的逆敏感性分析
  • 批准号:
    1228243
  • 财政年份:
    2012
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
BPC-AE: Collaborative Research: Strengthening and Expanding the Empowering Leadership Alliance
BPC-AE:合作研究:加强和扩大赋权领导力联盟
  • 批准号:
    0940472
  • 财政年份:
    2010
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
RAPID: Collaborative Research: Extension of the ADCIRC Coastal Circulation Model for Predicting Near Shore and Inner Shore Transport of Oil from the Horizon Oil Spill
RAPID:合作研究:ADCIRC 沿海环流模型的扩展,用于预测地平线漏油中的近岸和内岸石油输送
  • 批准号:
    1042318
  • 财政年份:
    2010
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
CMG Collaborative Research: Simulation of Wave-Current Interaction Using Novel, Coupled Non-Phase and Phase Resolving Wave and Current Models
CMG 合作研究:使用新型耦合非相位和相位解析波流模型模拟波流相互作用
  • 批准号:
    1025561
  • 财政年份:
    2010
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Standard Grant
Collaborative Research: Computational Methods for Coupled Wave, Current, Sediment Transport and Morphological Evolution
合作研究:耦合波、海流、泥沙输送和形态演化的计算方法
  • 批准号:
    0915223
  • 财政年份:
    2009
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Continuing Grant

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预防措施:轨道 2:协作研究:定义地面破坏的前兆:通过地质力学和遥感进行早期滑坡预测的多尺度框架
  • 批准号:
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  • 批准号:
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预防事件轨道 2:协作研究:影响强对流天气事件可预测性的多尺度过程
  • 批准号:
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PREEVENTS Track 2: Collaborative Research: Geomorphic Versus Climatic Drivers of Changing Coastal Flood Risk
预防事件轨道 2:协作研究:变化的沿海洪水风险的地貌与气候驱动因素
  • 批准号:
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PREEVENTS Track 2: Collaborative Research: Improving High-Impact Hail Event Forecasts by Linking Hail Environments and Modeled Hailstorm Processes
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  • 批准号:
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  • 批准号:
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合作研究:预防轨道 2:量化极端太阳喷发的风险 (QUEST)
  • 批准号:
    1854790
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  • 资助金额:
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预防事件轨道 2:合作研究:预测气候变化中美国东海岸的飓风风险
  • 批准号:
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PREEVENTS Track 2: Collaborative Research: Flash droughts: process, prediction, and the central role of vegetation in their evolution.
预防事件轨道 2:合作研究:突发干旱:过程、预测以及植被在其演化中的核心作用。
  • 批准号:
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预防事件轨道 2:合作研究:预测气候变化中美国东海岸的飓风风险
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    1854993
  • 财政年份:
    2019
  • 资助金额:
    $ 35.94万
  • 项目类别:
    Continuing Grant
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