Collaborative Research: Frameworks: A community platform for accelerating observationally-constrained regional oceanographic modeling

海洋是气候系统和全球碳预算的关键要素。海洋还支持粮食安全、全球贸易和能源生产。为了理解和管理这些用途及其影响，需要将观测结果和高保真海洋状态模型的结果融合在一起。目前，只有一小部分专家可以使用这种能力。该项目增强了社区地球系统模型的能力，使更大和更多学科的用户社区能够解决有关地球海洋的重要问题。新的观测工作，如海洋生命体征网络，可以利用该项目产生的工具来设计更好的观测系统，最大限度地利用从观测中获得的信息，并最终提供满足利益攸关方需求所需的决策支持。该项目旨在极大地扩大社区获得适合目的的海洋模拟和状态估计的机会，从而使更多样化的社区能够应用。该基础设施将明确支持端到端工作流环境中的强大可用性。该项目将产生明确的文件，包括传播工具的明确机制，并认真努力教育和培训各种用户，包括传统研究界以外的用户。实习将支持历来代表性不足的群体参与，一系列讲习班将在传统上得不到充分服务的社区建设能力。该项目将提供软件基础设施，促进CESM内模块化海洋模型第6版（MOM6）的快速配置、部署和分析。一个共同的框架将支持高分辨率的区域域，这些区域域由数据集横向驱动，或在线嵌入全球模型，用于完全耦合或仅用于海洋的模拟。这些配置将支持使用海洋生物地球化学图书馆进行灵活的海洋生物地球化学模拟，并支持使用数据同化研究试验台进行数据同化。开发将通过一个新用例的技术要求进行测试和激励：设计和支持对一个密集的、面向社区的观测阵列OVSN的解释，该阵列旨在大幅提高测量和理解海洋物理、化学和生物动态的功能和未来演变的能力，重点是碳循环。该项目将减少建模工作流程各个阶段的技术瓶颈。最终目标是加速区域海洋状态估计的进展，并促进多样化社区的应用。NSF高级网络基础设施办公室的这一奖项由NSF地球科学理事会的研究，创新，协同和教育部（RISE）和海洋科学部（OCE）共同支持，该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Oceans are a critical element of the climate system and global carbon budget. Oceans also support food security, global trade, and energy production. A fusion of observations and results from high-fidelity models of the ocean's state are needed to understand and manage these uses and their impacts. Presently, this capability is available to only a small expert community. This project augments the capabilities of the Community Earth System Model (CESM) to enable a larger and more multidisciplinary community of users to address important questions about Earth's oceans. New observational efforts, such as the Ocean Vital Signs Network (OVSN), can leverage the tools generated by this project to design better observing systems, maximize information gained from observations, and ultimately provide the decision support needed to meet stakeholder needs. The project aims to greatly expand community access to fit-for-purpose ocean simulations and state estimates, thereby enabling applications by a more diverse community. The infrastructure will explicitly support robust usability in the context of end-to-end workflows. The project will produce clear documentation, include explicit mechanisms for disseminating the tools, and feature conscientious efforts to educate and train a diverse community of users, including from beyond the traditional research community. Internships will support participation of historically under-represented groups and a series of workshops will build capacity in traditionally underserved communities. This project will deliver software infrastructure facilitating rapid configuration, deployment, and analysis of the Modular Ocean Model version 6 (MOM6) within the CESM. A common framework will support high-resolution regional domains forced laterally by datasets or embedded online within a global model for fully-coupled or ocean-only simulations. These configurations will support flexible ocean biogeochemistry simulations using the Marine Biogeochemistry Library (MARBL) and the application of data assimilation using the Data Assimilation Research Testbed (DART). Development will be tested and motivated by the technical requirements of a novel use case: designing and supporting interpretation of an intensive, community-oriented observational array, the OVSN, which seeks to dramatically improve capacity to measure and understand the function and future evolution of the ocean's physical, chemical and biological dynamics, with a focus on carbon cycling. This project will reduce technical bottlenecks within all stages of modeling workflows. The ultimate objective is to accelerate advances in regional ocean state estimation and facilitate applications by a diverse community.This award by the NSF Office of Advanced Cyberinfrastructure is jointly supported by the Division of Research, Innovation, Synergies, and Education (RISE) and the Division of Ocean Sciences (OCE) within the NSF Directorate for Geosciences, and funds for development of a National Discovery Cloud (NDC) for Climate.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.