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
• 负责人: Joannes Westerink
• 金额: $ 50.38万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-10-01 至 2012-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0746232&HistoricalAwards=false
• 关键词: Collaborative; Research; NSF; PetaApps; Storm

Lead Proposal: OCI - 0749015 PI: Dawson, Clinton NInstitution: University of Texas at AustinNon-lead Proposal: OCI - 0749017PI: Hanna, Darrin MInstitution: Oakland UniversityNon-lead Proposal: OCI ? 0746232PI: Westerink, Joannes JInstitution: University of Notre DameTitle: "Collaborative Research" NSF PetaApps: Storm Surge Modeling on Petascale ComputersABSTRACTThe goal of this project is to investigate the use of petascale computing to significantly advance the state-of-the-art in storm surge simulation, to accurately model flows at multiple, interacting scales, at resolution never before attempted, and to demonstrate that results from these simulations can be delivered in real-time to emergency managers. To achieve this goal will require the continued development and improved understand of the mechanisms involved in tightly coupled models of wind, waves, circulation and geomorphology, improvements in the description of the physical domain and adaptive resolution of all energetic flow scales, and investigation of accurate, robust and highly parallelizable numerical algorithms. Efficient implementation of these models on emerging petascale architectures will require utilizing the latest developments in parallel data management, real-time visualization, and programming tools. In this project, thePIs will develop high resolution, large-scale coastal inundation models coupled with regional-scale rainfall/runoff models. Robust and highly parallelizable algorithms will be investigated for solving these systems on petascale architectures. The models will be implemented on NSF Track 2 HPC systems currently under construction; furthermore, implementation of the models on novel hybrid architectures will also be explored.Predicting and studying coastal inundation due to hurricanes and tropical storms is a problem of critical importance to the United States. Hurricane Katrina alone was the costliest and 5th deadliest hurricane in history, with most of the devastation due to wind-driven flooding during the storm. The aftermath of this event has led to a number of federally-mandated studies to determine what failed, the causes of failure, and how to prevent such catastrophes from happening again. Critical decisions will be made in the next several years on how to design better protection systems and improve emergency management practices in the event of future storms. Storm surge is caused by wind, atmospheric pressure gradients, tides, river flow, short-crested wind-waves, and rainfall. In this project, the investigators will develop an accurate numerical model of storm surge which accounts for all of these effects. This model will be tested in predictive mode as storms approach landfall for the purposes of emergency evacuation and response, and used to study the design and implementation of improved man-made and natural protection systems for vulnerable coastal areas. While storm surge models have been developed extensively over the past decade; only within the last few years have the algorithms, computational power and resolution been available to begin to model these events with any reasonable degree of accuracy. In addition to storm surge modeling, the computational methodology and simulation tools developed under this project are applicable to other problems in coastal engineering and marine science, including water quality, shipping and ports, marine ecology, naval operations, weather and climate, and wetland degradation. Furthermore, the technology developed under this project will be disseminated to government agencies such as FEMA, the U.S. Army Corps of Engineers and NOAA.

负责人提案：OCI - 0749015 PI： 道森，克林顿N机构： 德克萨斯大学奥斯汀分校非牵头提案：OCI -0749017 PI： Hanna，Darrin M机构： 奥克兰大学非主导提案：OCI？0746232 PI： Westerink，Joannes J机构： 圣母大学标题：“合作研究”NSF PetaApps：Petascale计算机上的风暴潮建模摘要该项目的目标是研究使用Petascale计算来显著推进风暴潮模拟的最新技术，在多个相互作用的尺度上准确地模拟流动，以前从未尝试过的分辨率，并证明这些模拟的结果可以实时交付给应急管理人员。 为了实现这一目标，将需要继续发展和更好地了解的机制，在紧密耦合模型的风，波浪，环流和地貌，改善描述的物理域和自适应分辨率的所有充满活力的流尺度，并调查准确，强大和高度并行化的数值算法。 在新兴的千万亿次架构上有效地实现这些模型将需要利用并行数据管理、实时可视化和编程工具的最新发展。 在这个项目中，PI将开发高分辨率，大规模的沿海洪水模型，加上区域尺度的降雨/径流模型。 强大的和高度并行化的算法将被调查，以解决这些系统的千万亿次架构。 该模型将实施NSF轨道2 HPC系统目前正在建设中，此外，新的混合架构的模型的实施也将explored.Predicting和研究沿海洪水由于飓风和热带风暴是一个至关重要的问题，以美国。 卡特里娜飓风是历史上造成损失最大、死亡人数第五多的飓风，大部分破坏是风暴期间风力引发的洪水造成的。 这一事件的后果导致了一些联邦政府授权的研究，以确定失败的原因，失败的原因，以及如何防止此类灾难再次发生。 未来几年将就如何设计更好的保护系统和改善未来风暴情况下的应急管理做法作出关键决定。 风暴潮是由风、气压梯度、潮汐、河流、短峰风浪和降雨引起的。 在这个项目中，研究人员将开发一个精确的风暴潮数值模型，解释所有这些影响。 在风暴即将登陆时，将以预测模式对该模型进行测试，以便进行紧急疏散和应对，并将其用于研究脆弱沿海地区改进的人工和自然保护系统的设计和实施。 虽然风暴潮模型在过去十年中得到了广泛的开发;但直到最近几年，算法、计算能力和分辨率才能够开始以合理的准确度对这些事件进行建模。 除了风暴潮建模外，在该项目下开发的计算方法和模拟工具还适用于海岸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。 此外，在该项目下开发的技术将传播给联邦应急管理局、美国陆军工程兵团和NOAA等政府机构。