Collaborative Research: Frameworks: Building a Collaboration Infrastructure: CyberWater2 -- A Sustainable Data/Model Integration Framework

协作研究：框架：构建协作基础设施：Cyber​​Water2——可持续数据/模型集成框架

• 批准号: 2209835
• 负责人: Yao Liang
• 金额: $ 70.2万
• 依托单位: Indiana University
• 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: 2023-01-01 至 2026-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2209835&HistoricalAwards=false
• 关键词: Collaborative; Research; Frameworks; Building; Collaboration

Natural hazards, such as coastal and inland flooding caused by Hurricanes and severe drought and its associated wildfire, have been occurring with unprecedented frequency, induced by climate changes that encompass hydrological, biological, environmental, atmospheric, ocean, and other geosciences. Such hazards have caused not only profound damages to our environment and required tremendous efforts to recover, but also cost people's lives. To mitigate these potential disasters, it is a critical time to tackle their associated scientific questions both fundamental and large-scale that impact on the health, resilience, and sustainability of the Earth system we live in. The problems are complex and multidisciplinary, and researchers and practitioners from diverse fields must work together to find solutions. By its nature, Earth system models are comprised of component models – from land surface, to rivers, coastal regions, ocean, sea ice, and atmosphere, where each component model is coupled with one another. As science advances, a component model or its subsystems may have to be replaced because of new understanding, or because different perspectives must be explored and tested for the credence of different combinations to find the most credible predictions for different conditions at different locations. Such tasks often require substantial efforts and time and can become a bottleneck. This project is aimed at developing a new open-source cyberinfrastructure framework, Cyberwater2, in which model coupling is shifted from the current "code-coupling" approach to a new "information coupling" approach, and can be configured without writing glue code. This minimizes the need to access and modify each participating model's original code, and removes a major obstacle for large-scale cross-institutional collaborations and scientific investigations across disciplines and geographic boundaries. CyberWater2 is designed for diverse research communities including water, climate, coastal, engineering, and beyond. With our framework, researchers can devote their collaborative energy on problem solving and exploration of new frontiers, while using CyberWater2 to effectively achieve two-way open model couplings across platforms, model parameter calibration, data assimilation, testing/validations/comparisons, etc.The goal of this project is to make it easier to conduct large scale collaboration on complex problems and solve them efficiently, accurately and in-depth by developing a cyberinfrastructure, CyberWatyer2, that (1) significantly eliminates "glue" coding for two-way couplings across heterogeneous computing platforms, disciplines, and organizations; (2) automates complex model calibration and facilitates data assimilation processes applicable to various models; (3) supports task-based and in-situ hybrid workflow for greatly improved efficiency on two-way coupling across heterogeneous platforms; (4) provides a CyberWater2 server and web service framework for users in addition to the standalone systems; (5) enables sustainable data access from diverse sources by automatically adapting data agents to the changes (e.g., API interfaces) made to external data sources by providers; and (6) enables automated resource planning with intelligent site recommendation for High Performance Computing (HPC)/Cloud access on demand to maximize users' benefits.This project is supported by the Office of Advanced Cyberinfrastructure in the Directorate for Computer & Information Science & Engineering and the Division of Earth Sciences in the Directorate of Geosciences.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.

由于涉及水文、生物、环境、大气、海洋和其他地学的气候变化，诸如飓风引起的沿海和内陆洪灾以及严重干旱和与之相关的野火等自然灾害正在以前所未有的频率发生。这些灾害不仅对我们的环境造成了严重的破坏，需要付出巨大的努力才能恢复，而且还夺走了人们的生命。为了减轻这些潜在的灾难，现在是解决它们相关的根本和大规模科学问题的关键时刻，这些问题影响到我们生活的地球系统的健康、复原力和可持续性。这些问题是复杂的和多学科的，来自不同领域的研究人员和从业者必须共同努力寻找解决方案。从本质上讲，地球系统模型由组件模型组成--从陆地表面到河流、沿海地区、海洋、海冰和大气，每个组件模型都相互耦合。随着科学的进步，组件模型或其子系统可能不得不被取代，因为新的理解，或者因为必须探索和检验不同的观点，以确定不同组合的可信度，以便为不同地点的不同条件找到最可靠的预测。这样的任务往往需要大量的努力和时间，并可能成为瓶颈。该项目旨在开发一个新的开源网络基础设施框架--Cyberwater 2，其中模型耦合从目前的“代码耦合”方法转变为新的“信息耦合”方法，并且可以在不编写粘合代码的情况下进行配置。这将访问和修改每个参与模型的原始代码的需要降至最低，并消除了跨学科和地理边界的大规模跨机构合作和科学调查的主要障碍。Cyberwater 2是为不同的研究社区而设计的，包括水、气候、海岸、工程等。在我们的框架下，研究人员可以将他们的协作精力投入到问题解决和新领域的探索上，同时利用Cyberwater 2有效地实现跨平台的双向开放模型耦合、模型参数校准、数据同化、测试/验证/比较等。本项目的目标是通过开发一个网络基础设施CyberWatyer2，使复杂问题的大规模合作变得更加容易，并高效、准确和深入地解决这些问题。该基础设施(1)显著消除了跨不同计算平台、学科和组织的双向耦合编码；(2)自动化了复杂的模型校准和促进了适用于各种模型的数据同化过程；(3)支持基于任务和就地混合的工作流，大大提高了跨不同平台的双向耦合的效率；(4)除独立系统外，还为用户提供Cyberwater 2服务器和网络服务框架；(5)通过自动调整数据代理以适应提供商对外部数据源的更改(例如，API接口)，实现从不同来源的可持续数据访问；以及(6)通过高性能计算(HPC)的智能站点推荐/按需云访问实现自动资源规划，以最大限度地提高用户的利益。该项目由计算机与安培管理局高级网络基础设施办公室支持；这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。