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
• 负责人: Joannes Westerink
• 金额: $ 73万
• 依托单位: University of Notre Dame
• 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 2018-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1339738&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沿海循环和风暴潮模型具有很高的社会影响力记录。 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激增，仅举几个当前和最新应用。因此，建立了一个良好的用户网络，可以将ADCIRC的改进转换为更广泛的影响。拟议的研究提供了变革性的智力贡献，专注于应用新的并行化方案，以使ADCIRC模型的算法，实施和利用能够取得重大进步。将ADCIRC扩展到多算法的框架以及预期的绩效增长将有助于确保Adcirc至少在未来20年内作为核心社区模型的可持续性。此外，拟议的合作将通过用作高影响用例来影响计算机科学，以告知新方法的高效可扩展计算方法。一起，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。拟议的研究的结果将通过参与组织的持续教育外展活动以及裁判会议和期刊论文以及邀请演讲，将其传播到更广泛的社区。研究生和博士后研究员的参与将对该项目的成功至关重要。 PI有悠久的培训和指导学生以及计算科学与工程学后的教育，沿海工程与海洋科学的历史。这些努力的招募和参与一直是当务之急。此外，拟议的研究的各个方面将纳入PI在有限元方法，科学计算，水文学和海洋学领域中教授的几门课程中。该项目的目的是使ADCIRC沿海循环和风暴潮流模型从成功的，但有点静态的沿海模型范围内的单个解决方案和单个解决方案的量度均匀分配到单个解决方案的范围内，并将MPI的分类范围扩大到范围内。由多种解决方案算法组成的平台，很容易接收新的解决方案算法，并且该算法构建了基于变换的新并行化方案，该方案将使我们能够扩展到现代高性能计算（HPC）系统中至少256K计算核心。我们将通过创建一个充满活力的沿海建模框架来实现这一目标，该框架将继续领导社区合并物理科学 /工程和高性能计算，我们将使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，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度要求的沿海风暴预测系统中，目前我们正在运行，以证明模型解决方案的鲁棒性和速度提高。我们希望这项工作将缩短提供可靠的预测结果所需的时间，并提高我们在前所未有的规模上提供高度解决，准确和身体上完整的预测的能力。同时，它应该使较小的资源用于模拟规模的模拟，从而提高了可用性并扩大了ADCIRC在更广泛的社区中的适用性。 CERA（www.coastalemergency.org）等紧密集成的以网络为导向的产品的开发将使人们能够及时及时传播预测模型结果，以吸引广泛的受众。