EAGER: Collaborative Research: Developing a Community Computational Infrastructure for Earth System Model Research and Applications

这个EAGER奖项的重点是为NSF的一项名为EarthCube的新计划探索在开发地球科学综合和可互操作的数据和知识管理系统方面实施新范式的可行性。在地球系统建模专家团队的领导下，该项目侧重于开发集成和耦合模型组件的新方法，以便能够探索和更有效地为更广泛的用户使用涉及大尺度气候和大气环流模型与更小、更异构的地表地球过程组件模型相互作用的整体地球科学情景。该项目的参与者来自美国国家科学基金会资助的多个主要地球科学建模投资项目（CSDMS， NCAR， CUHAUSI）。这项工作的一个主要目标是弥合现有建模框架、数据标准和计算体系结构之间的差距。该方法包括收集所有相关方法，然后比较它们的优缺点，将现有不同的“即插即用”建模组件连接在一起，并评估模型结果的准确性和鲁棒性。主要的项目目标是看看是否可以开发更多的标准建模协议，并开发一个通用的路线图，以改进模型组件的互操作性和网格划分，以处理在不同的空间和时间尺度上的现象。这项工作的更广泛影响包括为科学建立新的建模基础设施，并利用NSF之前在网络基础设施方面的投资。它还提高了科学家和其他潜在用户对更全面集成和更强大的地球系统模型的效用、易用性和更广泛的访问。

This EAGER award focuses on exploring the feasibility of the implementation of a new paradigm in the development of an integrative and interoperable data and knowledge management system for the geosciences for a new NSF initiative called EarthCube. Led by a team of expert Earth system modelers, this project focuses on developing new approaches for integrating and coupling model components so that holistic geoscience scenarios that involve the interaction of large scale climate and atmospheric circulation models and smaller, more heterogeneous component models of surface earth processes can be explored and more effectively used by a broader range of users. The project engages participants from a number of major NSF-funded geoscience modeling investments (CSDMS, NCAR, CUHAUSI). A main goal of the of the work is to bridge the gaps between present modeling frameworks, data standards, and computational architectures. The approach includes collection of all relevant approaches and then comparing their pros and cons and linking existing different "plug and play" modeling components together and assessing the accuracy and robustness of model results. Major project goals are to see if more standard modeling protocols can be developed and to develop a general roadmap for improving the interoperability and meshing of model components that address phenomena at wildly different spatial and temporal scales. Broader impacts of the work include building new modeling infrastructure for science and leveraging prior NSF investments in cyberinfrastructure. It also improves the utility of, ease of use, and broader access of scientists and other potential users to more fully integrated and powerful earth systems models.