SI2-SSI: Collaborative Research: STORM: A Scalable Toolkit for an Open Community Supporting Near Realtime High Resolution Coastal Modeling

ADCIRC沿海环流和风暴潮模式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年沿海洪水水位）的联邦应急管理局国家洪水保险计划在沿海州从纽约到德克萨斯州，它已被用于设计数十亿美元的飓风和风暴破坏风险降低系统周围的大新奥尔良和路易斯安那州南部的陆军工程兵团，它目前由NOAA/NWS国家环境预测中心运行，以预测风暴潮。这只是它当前和最近的一些应用。因此，有一个完善的用户网络，可以将ADCIRC的改进转化为显著的更广泛的影响。提出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、实现和利用取得重大进展。将ADCIRC扩展到一个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作为核心社区模型至少在未来20年内的可持续性。此外，提议的协作将作为一个高影响力的用例来影响计算机科学，为高效可扩展计算的新方法的设计提供信息。沿海建模和并行化技术的进步将对建模和高性能计算科学做出重大贡献。拟议的研究结果将通过参加组织正在进行的教育外展活动，以及通过审定会议和期刊论文和邀请的发言，向更广泛的社区传播。研究生和博士后的参与对这个项目的成功至关重要。ppi在计算机科学与工程、海岸工程和海洋科学方面对学生和博士后进行培训和指导有着悠久的历史。招募代表性不足的群体并使其参与这些努力始终是一个高度优先事项。此外，拟议研究的各个方面将被纳入由专业人员在有限元素方法、科学计算、水文学和海洋学领域讲授的几门课程的课程。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（与单一解算法和MPI并行化范例相关联）扩展到一个由多种解算法组成的动态计算平台。它很容易接受新的解决方案算法，并建立在一个转型的新并行化方案上，这将允许我们在现代高性能计算（HPC）系统上扩展到至少256k的计算核心。我们将通过创建一个生动的、不断发展的沿海建模框架来实现这一目标，该框架将继续引领社区融合物理科学/工程和高性能计算，我们将使该框架作为一个可持续的长期解决方案提供给更广泛的社区，以满足其沿海建模需求。此外，我们将利用这些进步在我们目前运行的高要求的沿海风暴潮预报系统中，以证明模型解决方案的鲁棒性和速度都得到了提高。我们期望这项工作将缩短提供可靠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分辨率、准确和物理完整预测的能力。同时，它应该能够使用更小的资源进行规模增加的模拟，从而提高可用性并扩大ADCIRC在更广泛的社区中的适用性。开发紧密集成的面向网络的产品，如CERA (www.coastalemergency.org)，将使预测建模结果能够广泛和及时地传播给广大受众。

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.