Collaborative Research- NSF PetaApps: Storm Surge Modeling on Petascale Computers

牵头提案：OCI - 0749015 PI: Dawson， Clinton NInstitution: University of Texas at austin非牵头提案：OCI - 0749017PI: Hanna， Darrin机构：Oakland University非牵头提案：OCI ？0746232PI: Westerink， Joannes JInstitution: University of Notre dame标题：“Collaborative Research”NSF PetaApps：摘要本项目的目标是研究使用千兆级计算机来显著推进风暴潮模拟的最新技术，以前所未有的分辨率准确地在多个相互作用的尺度上建立风暴潮模型，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，将需要继续发展和改进对风、波、环流和地貌紧密耦合模型所涉及的机制的理解，改进对物理域的描述和所有能量流尺度的自适应分辨率，以及研究准确、稳健和高度并行化的数值算法。这些模型在千兆级架构上的有效实现需要利用并行数据管理、实时可视化和编程工具方面的最新发展。在这个项目中，pi将开发高分辨率、大尺度的沿海淹没模型，并结合区域尺度的降雨/径流模型。鲁棒和高度并行算法将研究解决这些系统在千兆级架构。这些模型将在目前正在建设的NSF轨道2高性能计算系统上实施；此外，还将探讨模型在新型混合架构上的实现。预测和研究飓风和热带风暴造成的沿海淹没对美国来说是一个至关重要的问题。卡特里娜飓风是历史上最昂贵和第五致命的飓风，大部分破坏是由于风暴期间的风力引发的洪水。这一事件的后果导致了许多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。在未来几年内，将就如何设计更好的保护系统和改善未来风暴事件的应急管理做法做出关键决定。风暴潮是由风、气压梯度、潮汐、河流流量、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来解释所有这些影响。该模型将在风暴接近登陆时以预测模式进行测试，用于紧急疏散和响应，并用于研究为脆弱的沿海地区设计和实施改进的人为和自然保护系统。虽然风暴潮模式在过去十年中得到了广泛的发展；直到最近几年，算法、计算能力和分辨率才开始以合理的精度对这些事件进行建模。除风暴潮模拟外，本项目开发的计算方法和模拟工具也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、海军作战、天气和气候以及湿地退化。此外，本项目开发的技术将分发给联邦应急管理局、美国陆军工程兵团和国家海洋和大气管理局等政府机构。

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.