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

主导提案：OCI-0749015 PI：道森，克林顿NInstitution：得克萨斯大学奥斯汀分校非主导提案：OCI-0749017PI：Hanna，Darrin MInstitution：奥克兰大学非主导提案：OCI？0746232PI：Westink，Joannes JInstitution：圣母大学标题：“协作研究”NSF PetaApps：在Petascale计算机上进行风暴潮建模本项目的目标是调查使用千万亿级计算来显著推进风暴潮模拟的最先进水平，在多个相互作用的尺度上以以前从未尝试过的分辨率对流动进行准确建模并证明这些模拟的结果可以实时传递给应急管理人员。为了实现这一目标，将需要继续发展和更好地理解风、浪、环流和地貌的紧密耦合模式所涉及的机制，改进对物理域的描述和所有能量流尺度的自适应分辨率，并研究准确、稳健和高度并行的数值算法。要在新兴的千万亿级架构上高效地实现这些模型，将需要利用并行数据管理、实时可视化和编程工具方面的最新发展。在这个项目中，PIS将开发高分辨率、大规模的沿海淹没模型，并结合区域尺度的降雨/径流模型。我们将研究在Petascale架构上求解这些系统的健壮和高度可并行化的算法。这些模型将在目前正在建设的NSF Track 2 HPC系统上实施；此外，还将探索在新型混合体系结构上实施这些模型。预测和研究飓风和热带风暴造成的沿海洪水对美国来说是一个至关重要的问题。仅卡特里娜飓风就是历史上损失最大、死亡人数第五多的飓风，大部分破坏是由于风暴期间由风力引发的洪水造成的。这一事件的后果导致了许多联邦授权的研究，以确定什么是失败的，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进未来暴风雨情况下的应急管理做法做出关键决定。风暴潮是由风、大气压力梯度、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准确的风暴潮数值模型，该模型可以解释所有这些影响。该模型将在风暴即将登陆时在预测模式下进行测试，以便进行紧急疏散和反应，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。虽然风暴潮模型在过去十年中得到了广泛的发展，但直到最近几年才出现了算法、计算能力和分辨率，以便开始以任何合理的精度对这些事件进行模拟。除了风暴潮模拟外，该项目开发的计算方法和模拟工具还适用于沿海工程和海洋科学中的其他问题，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，根据该项目开发的技术将传播给政府机构，如联邦应急管理局、美国陆军工程兵团和美国国家海洋和大气局。

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.