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

合作研究：框架：加速观测受限区域海洋学建模的社区平台

• 批准号: 2311383
• 负责人: David Nicholson
• 金额: $ 161.55万
• 依托单位: Woods Hole Oceanographic Institution
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2028-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2311383&HistoricalAwards=false
• 关键词: Collaborative; Research; Frameworks; community; platform

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.

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。需要了解海洋状态的高保真模型的观测和结果来理解和管理这些用途及其影响。目前，此功能仅适用于一个小型专家社区。该项目增强了社区地球系统模型（CESM）的能力，使一个更大，更多学科的用户社区能够解决有关地球海洋的重要问题。新的观察努力，例如海洋生命体征网络（OVSN），可以利用该项目生成的工具来设计更好的观察系统，最大程度地从观测中获得的信息，并最终提供满足利益相关者需求所需的决策支持。该项目旨在极大地扩大社区的访问权限，从而实现更多样化的社区的申请。基础架构将在端到端工作流程中明确支持可用性的可用性。该项目将产生清晰的文档，包括用于传播工具的明确机制，并采取认真的努力，以教育和培训各种用户社区，包括传统研究社区。实习将支持历史上代表性不足的群体的参与，一系列讲习班将在传统服务不足的社区中建立能力。该项目将提供软件基础架构，促进CESM中模块化海洋模型版本6（MOM6）的快速配置，部署和分析。一个共同的框架将支持由数据集横向强迫或在线嵌入全球模型中的高分辨率区域域，以进行完全耦合或仅海洋模拟。这些配置将使用海洋生物地球化学库（MABL）支持灵活的海洋生物地球化学模拟，并使用数据同化研究测试台（DART）应用数据同化。开发将受到新颖用例的技术要求的测试和动机：设计和支持对密集的，以社区为导向的观察阵列的解释OVSN，该阵列旨在显着提高衡量和了解海洋物理，化学和生物学动力学的功能和未来演变的能力，重点是碳循环。该项目将在建模工作流的所有阶段减少技术瓶颈。 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 Cyber​​infrastructure 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气候。该奖项反映了NSF的法定使命，并通过使用基金会的知识分子优点和更广泛的影响审查标准来评估值得支持。