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: 1339723
• 负责人: Richard Luettich
• 金额: $ 75.9万
• 依托单位: University of North Carolina at Chapel Hill
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1339723&HistoricalAwards=false
• 关键词: SI2; SSI; Collaborative; Research; STORM

The ADCIRC coastal circulation and storm surge model has a long standing track record of extremely high societal impact. It has been used to define risk (e.g., 100-yr, 500-yr coastal flood levels) for the FEMA National Flood Insurance Program in coastal states from New York to Texas, it has been used to design the multi-billion dollar Hurricane and Storm Damage Risk Reduction System around greater New Orleans and southern Louisiana by the Army Corps of Engineers, it is currently run operationally by NOAA/NWS National Center for Environmental Prediction to forecast storm surge, to name just a few of its current and recent applications. Thus there is a well-established user network in place to convert improvements in ADCIRC into significant broader impacts. The proposed research provides transformative intellectual contributions that focus on applying new parallelization schemes to enable major advances in the algorithms, implementation and utilization of the ADCIRC model. The broadening of ADCIRC to a multi-algorithmic framework and the resulting performance gains that are anticipated will help ensure ADCIRC's sustainability as a core community model for at least the next 20 years. In addition, the proposed collaboration will impact computer science by serving as a high impact use case to inform the design of new approaches to efficient scalable computing. Together, the advancements in coastal modeling and parallelization technology will make a significant contribution to the science of modeling and HPC. The results of the proposed research will be disseminated to a wider community through ongoing educational outreach activities at the participating organizations as well as through refereed conference and journal papers, and invited presentations. The involvement of graduate students and post-doctoral fellows will be crucial towards the success of this project. The PIs have a long history of training and mentoring students and post-docs in computational science and engineering, coastal engineering and marine science. The recruitment and involvement of underrepresented groups in these efforts has always been a high priority. In addition, aspects of the proposed research will be incorporated into the curricula of several courses taught by the PIs in the areas of finite element methods, scientific computation, hydrology and oceanography.The aim of this project is to broaden the ADCIRC coastal circulation and storm surge model from a successful, but somewhat static coastal modeling tool that is tied to a single solution algorithm and the MPI parallelization paradigm, to a dynamic computational platform that is comprised of multiple solution algorithms, that readily admits new solution algorithms and that is built on a transformational new parallelization scheme that will allow us to scale to at least 256k compute cores on modern high performance computing (HPC) systems. We will do this by creating a living, evolving coastal modeling framework that will continue to lead the community in merging physical science / engineering and high performance computing and we will make the framework available to the broader community as a sustainable long term solution for its coastal modeling needs. In addition we will utilize these advancements in the highly demanding coastal storm surge forecasting system that we presently operate to demonstrate both improved robustness and speed of the model solution. We expect this effort will shorten the time required to provide reliable forecasting results and improve our ability to provide highly resolved, accurate, and physically complete predictions on an unprecedented scale. Concurrently, it should enable the use of smaller resources for simulations of increased scale which improves the usability and widens the applicability of ADCIRC in a broader community. The development of tightly integrated web-oriented products like CERA (www.coastalemergency.org) will enable the wide and timely dissemination of forecast modeling results to reach a broad audience.

ADCIRC的沿海环流和风暴潮模型长期以来一直具有极高的社会影响。它已被用于定义风险（例如，100年，500年的沿海洪水水平），用于从纽约到得克萨斯州沿海各州的FEMA国家洪水保险计划，它已被用于设计陆军工程兵团在大新奥尔良和路易斯安那州南部周围的数十亿美元的飓风和风暴损失风险降低系统，目前由NOAA/NWS国家环境预测中心运行，以预测风暴潮，仅列举其当前和最近的几种应用。因此，已经建立了一个完善的用户网络，可以将ADCIRC的改进转化为更广泛的重大影响。拟议的研究提供了变革性的智力贡献，重点是应用新的并行化方案，使ADCIRC模型的算法，实现和利用的重大进展。将ADCIRC扩展为多算法框架以及由此带来的预期性能收益将有助于确保ADCIRC至少在未来20年内作为核心社区模型的可持续性。此外，拟议的合作将通过作为一个高影响力的用例来影响计算机科学，为设计高效可扩展计算的新方法提供信息。总之，沿海建模和并行化技术的进步将为建模和HPC科学做出重大贡献。拟议研究的结果将通过参与组织正在进行的教育外联活动以及通过经审阅的会议和期刊论文以及应邀演讲，向更广泛的社区传播。研究生和博士后研究员的参与对这一项目的成功至关重要。PI在培训和指导计算科学与工程、海岸工程和海洋科学方面的学生和博士后方面有着悠久的历史。征聘代表性不足的群体并使其参与这些努力一直是高度优先事项。此外，拟议研究的各个方面将被纳入由PI教授的有限元方法、科学计算、水文学和海洋学等领域的几门课程的课程中。该项目的目的是将ADCIRC沿海环流和风暴潮模型从一个成功的、但有点静态的沿海建模工具扩展到一个单一的求解算法和MPI并行化范例，到动态计算平台，该平台由多个解决方案算法组成，易于接纳新的解决方案算法，并且构建在转换的新并行化方案上，该方案将允许我们在现代高性能计算（HPC）系统上扩展到至少256 k个计算核心。我们将通过创建一个活的，不断发展的沿海建模框架，将继续引领社区融合物理科学/工程和高性能计算，我们将使框架提供给更广泛的社区作为其沿海建模需求的可持续长期解决方案。此外，我们将利用这些进步，在高要求的沿海风暴潮预报系统，我们目前运行，以证明提高鲁棒性和速度的模型解决方案。我们预计，这一努力将缩短提供可靠预测结果所需的时间，并提高我们以前所未有的规模提供高分辨率、准确和物理完整预测的能力。与此同时，它应该能够使用较少的资源进行更大规模的模拟，从而提高可用性，并扩大ADCIRC在更广泛社区的适用性。开发CERA（www.coastalemergency.org）等紧密集成的面向网络的产品将使预测建模结果能够广泛及时地传播给广大受众。