CMG: Collaborative Research: Adaptive Numerical Methods for Shallow Water Circulation with Applications to Hurricane Storm Surge Modeling

CMG:合作研究:浅水循环自适应数值方法及其在飓风风暴潮建模中的应用

基本信息

  • 批准号:
    0620696
  • 负责人:
  • 金额:
    $ 20.77万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-09-01 至 2009-08-31
  • 项目状态:
    已结题

项目摘要

The objectives of this project are to improve the accuracy and robustness of storm-surge simulation through improved mathematical modeling, the development of dynamically adaptive numerical algorithms capable of resolving energetic flow features on different scales, increased computational resolution and improved physical description of coastal regions, and through efficient use of parallel computation. The project is inherently interdisciplinary, involving aspects of mathematical modeling, numerical analysis, computational science, coastal engineering, geomorphology, and marine science. The research team will develop improved physical models of storm surges including coupling of circulation, sediment and contaminant transport, and wave models defined on highly resolved computational domains. Adaptive computational methods for solving these models numerically will be formulated and analyzed. The results of this investigation will include an efficient simulator based on these improved physical models and adaptive algorithms, designed for large-scale parallel computation. The simulator will be verified numerically and validated on relevant benchmarks based on laboratory and field data. The synthesis of these ideas will lead to a fully operational hurricane storm-surge model for the Gulf Coast and eastern seaboard of the U.S., capable of predicting storm surges as storms approach landfall and studying the aftermath of storms.As recent events such as Hurricanes Katrina, Rita, and Wilma have demonstrated, the ability to predict and study the effects of hurricane storm surges is a problem of critical national interest. Hurricane Katrina alone is the costliest and fifth-deadliest hurricane in U.S. history; yet with better forecasting, design, and preparation, much of the devastation and loss of life caused by this storm could have been avoided. Hurricane storm-surge models can be used to predict flooding as storms approach landfall for the purposes of emergency management, and can be used in the design and implementation of improved protection systems, including levees, wetlands, seawalls, and flood gates. Computer models of storm surges have been developed; however, only within the past few years has the computational power and resolution been available to begin to model these events with any reasonable degree of certainty. In this project, the investigators will develop mathematical models and state-of-the-art computational algorithms and technologies for simulating storm surges due to hurricanes and other tropical events. The project will involve collaboration among mathematicians, coastal engineers, and marine scientists. The research effort will enhance the training of future scientists and engineers, and the developed methodology will impact other problems in coastal engineering and marine science, including water quality, shipping and ports, marine ecology, naval operations, weather and climate, and wetland degradation.
该项目的目标是通过改进数学建模、开发能够在不同尺度上解析高能流特征的动态自适应数值算法、提高计算分辨率和改进沿海地区的物理描述以及有效利用并行计算,提高风暴潮模拟的准确性和稳健性。 该项目本质上是跨学科的,涉及数学建模,数值分析,计算科学,海岸工程,地貌学和海洋科学等方面。 该研究小组将开发改进的风暴潮物理模型,包括环流、沉积物和污染物输运的耦合,以及在高分辨率计算域上定义的波浪模型。 将制定和分析用于数值求解这些模型的自适应计算方法。 这项调查的结果将包括一个有效的模拟器的基础上,这些改进的物理模型和自适应算法,设计用于大规模并行计算。 模拟器将在实验室和现场数据的基础上进行数值验证和相关基准验证。 这些想法的综合将导致一个全面运作的飓风风暴潮模型,墨西哥湾沿岸和美国东海岸,能够预测风暴接近登陆时的风暴潮,并研究风暴的后果。正如最近的卡特里娜飓风、丽塔飓风和威尔玛飓风等事件所表明的那样,预测和研究飓风风暴潮影响的能力是一个至关重要的国家利益问题。 卡特里娜飓风是美国历史上损失最大、死亡人数第五多的飓风;然而,如果有更好的预测、设计和准备,这场风暴造成的大部分破坏和生命损失是可以避免的。 飓风风暴潮模型可用于预测风暴接近登陆时的洪水,以进行应急管理,并可用于设计和实施改进的保护系统,包括堤坝、湿地、海堤和防洪闸。 风暴潮的计算机模型已经开发出来;然而,只有在过去的几年里,计算能力和分辨率才能开始以任何合理的确定性程度来模拟这些事件。 在这个项目中,研究人员将开发数学模型和最先进的计算算法和技术,用于模拟飓风和其他热带事件引起的风暴潮。 该项目将涉及数学家,海岸工程师和海洋科学家之间的合作。 研究工作将加强对未来科学家和工程师的培训,所开发的方法将影响沿海工程和海洋科学的其他问题,包括水质、航运和港口、海洋生态、海军行动、天气和气候以及湿地退化。

项目成果

期刊论文数量(0)
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Joannes Westerink其他文献

Modeling Hurricane Storm Surge along the Gulf Coast-Towards Petaflop Computations
墨西哥湾沿岸飓风风暴潮建模 - 迈向千万亿次计算
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joannes Westerink;John Atkiinson;Shintaro Bunya;et. al.
  • 通讯作者:
    et. al.
ModelingHurricane Storm Surge along the GulfCoast-Towards PetaflopComputations
墨西哥湾沿岸飓风风暴潮建模 - 迈向千万亿次计算
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Joannes Westerink;John Atkiinson;Shintaro Bunya;et.al.
  • 通讯作者:
    et.al.

Joannes Westerink的其他文献

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{{ truncateString('Joannes Westerink', 18)}}的其他基金

Third International Workshop on Waves, Storm Surges, and Coastal Hazards, Incorporating the Seventeenth (17th) International Waves Workshop; Notre Dame, Indiana; October 1-6, 2023
第三次关于波浪、风暴潮和沿海灾害的国际研讨会,纳入第十七届(第十七届)国际波浪研讨会;
  • 批准号:
    2336773
  • 财政年份:
    2023
  • 资助金额:
    $ 20.77万
  • 项目类别:
    Standard Grant
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
  • 批准号:
    1855047
  • 财政年份:
    2019
  • 资助金额:
    $ 20.77万
  • 项目类别:
    Continuing 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:
    1339738
  • 财政年份:
    2014
  • 资助金额:
    $ 20.77万
  • 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逆敏感性分析
  • 批准号:
    1228212
  • 财政年份:
    2012
  • 资助金额:
    $ 20.77万
  • 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:
    1042304
  • 财政年份:
    2010
  • 资助金额:
    $ 20.77万
  • 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:
    1025519
  • 财政年份:
    2010
  • 资助金额:
    $ 20.77万
  • 项目类别:
    Standard Grant
Collaborative Research: NSF PetaApps Storm Surge Modeling on Petascale Computers
合作研究:NSF PetaApps 在 Petascale 计算机上进行风暴潮建模
  • 批准号:
    0746232
  • 财政年份:
    2007
  • 资助金额:
    $ 20.77万
  • 项目类别:
    Continuing Grant
Improved Computations for Convection Dominated Turbulent Flow Problems Using the Fractional Step Method
使用分数步法改进对流主导的湍流问题的计算
  • 批准号:
    8718436
  • 财政年份:
    1987
  • 资助金额:
    $ 20.77万
  • 项目类别:
    Standard Grant

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