C3F: Collaborative Container-based Model Coupling Framework
C3F: Collaborative Container-based Model Coupling Framework
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C3F：基于协作容器的模型耦合框架
DOI：
10.1145/3491418.3530298
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Song, Carol X.
中科院分区：
文献类型：
--
作者：
Woo, Jungha;Zhao, Lan;Grogan, Danielle S.;Haqiqi, Iman;Lammers, Richard;Song, Carol X.
解决复杂的现实世界重大挑战问题需要来自多个学科的研究人员的深入合作。这种协作通常涉及利用多尺度和多维数据，并结合不同领域的模型来模拟系统。然而，这方面的进展受到限制，主要是由于领域知识和通常在领域孤岛中使用的工具存在巨大差距。来自不同领域的研究人员在理解和重用彼此的数据/模型以进行有效协作方面面临着相当大的障碍。例如，在解决全球可持续发展问题时，来自水文学、气候科学、农业和经济学的研究人员需要运行各自的模型来研究全球和当地粮食、能源和水系统的不同组成部分，同时需要与其他研究人员互动，并将一种模型的结果与另一种模型的结果相结合。开发这种模型耦合工作流程需要 (1) 跨域和组织处理和交换大量数据，(2) 识别和处理一个模型的输出，以便为集成到另一个模型做好准备，(3) 动态控制工作流程，使其运行，直到满足特定的收敛条件或其他标准，以及 (4) 建模人员之间密切协作，以探索、调整和测试链接模型所需的配置和数据转换。我们开发了 C3F，这是一种灵活的协作模型耦合框架，可帮助研究人员利用高性能计算和虚拟容器等先进的网络基础设施来加速模型集成和链接工作。在本文中，我们描述了我们在开发此网络基础设施解决方案以支持 NSF 资助的 INFEWS 项目和 DOE 资助的人类与地球系统耦合计划 (PCCHES) 中的水平衡模型 (WBM) 和 SIMPLE-G 农业经济模型的链接方面吸取的经验和教训，以研究地下水稀缺对粮食-能源-水系统的影响。 C3F模型耦合框架也可以扩展以方便其他模型链接。
Solving complex real-world grand challenge problems requires in-depth collaboration of researchers from multiple disciplines. Such collaboration often involves harnessing multiscale and multi-dimensional data and combining models from different fields to simulate systems. However, the progress on this front has been limited mainly due to significant gaps in domain knowledge and tools that are typically employed in silos of the domains. Researchers from different fields face considerable barriers to understanding and reusing each other’s data/models in order to collaborate effectively. For example, in solving the global sustainability problems, researchers from hydrology, climate science, agriculture, and economics need to run their respective models to study different components of the global and local food, energy and water systems while, at the same time, need to interact with other researchers and integrate the results of one model with another. Developing this kind of model coupling workflow calls for (1) a large amount of data being processed and exchanged across domains and organizations, (2) identifying and processing the output of one model to make it ready for integration into another model, (3) controlling the workflow dynamically so that it runs until a certain convergence condition or other criteria is met, and (4) close collaboration among the modelers to explore, tune, and test the configuration and data transformation needed to link the models. We have developed C3F, a flexible collaborative model coupling framework to help researchers accelerate their model integration and linking efforts by leveraging advanced cyberinfrastructure such as high-performance computing and virtual containers. In this paper, we describe our experience and lessons learned in developing this cyberinfrastructure solution to support the linking of Water Balance Model (WBM) and SIMPLE-G agricultural economic model in an NSF funded INFEWS project and a DOE-funded Program on Coupled Human and Earth Systems (PCHES) to study the implications of groundwater scarcity for food-energy-water systems. The C3F model coupling framework can be extended to facilitate other model linkages as well.
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