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

EAGER奖的重点是探索实施一种新模式的可行性，为NSF的一项名为EarthCube的新倡议开发一个综合性和可互操作的地球科学数据和知识管理系统。该项目由一个地球系统建模专家小组领导，重点是开发整合和耦合模型组成部分的新方法，以便更广泛的用户能够探索和更有效地使用涉及大尺度气候和大气环流模型与地表地球过程的较小、更异质组成部分模型相互作用的整体地球科学情景。该项目的参与者来自一些主要的NSF资助的地球科学建模投资（CSDMS，NCAR，CUHAUSI）。这项工作的一个主要目标是弥合目前的建模框架，数据标准和计算架构之间的差距。该方法包括收集所有相关方法，然后比较它们的优缺点，将现有的不同“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，以提高模型组件的互操作性和网格化，以解决在不同的空间和时间尺度的现象。这项工作的更广泛影响包括为科学构建新的建模基础设施，以及利用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综合和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.