Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure

Enabling Collaborative Numerical Modeling in Earth Sciences using Knowledge Infrastructure
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DOI:
10.1016/j.envsoft.2019.03.020
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发表时间:
2019-10-01
影响因子:
4.9
通讯作者:
Wang, S.
Wang, S.
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Bandaragoda, C.;Castronova, A.;Wang, S.

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知识基础设施是用于创建、共享和分发知识的智力框架。在本文中,我们使用知识基础设施来解决进入地球科学数值建模的常见障碍,如三种计算叙述所示:物理过程建模教育,复制已发表的模型结果,以及重用已发表的模型来扩展研究。我们概述了六个关键的功能需求:1)为新用户设计的工作流程;2)社区支持的协同web平台;3)分布式数据存储;4)软件环境;5)基于云的个性化高性能计算平台;6)标准化的开源建模框架。我们的方法通过提供三种交互式计算叙述来满足这些功能需求,这些计算叙述用于在HydroShare上使用Landlab进行动手、基于问题的研究。Landlab是一个用于构建、耦合和探索二维数值模型的开源工具包。HydroShare是一个用于共享数据和模型的在线协作环境。我们描述了通过提供一套模块化和可互操作的过程组件来加速知识开发的方法,这些组件允许学生、领域专家、合作者、研究人员和赞助者通过探索共享数据和建模资源来学习。该系统旨在支持从完全开发的建模应用程序到原型研究软件工具的连续使用。Landlab笔记本可在HydroShare (https://doi.org/10.4211/hs.fdc3a06e6ad842abacfa5b896df73a76)上进行交互式计算,也可在Github (https://zenodo.org/badge/latestdoi/187289993)上进行进一步开发。
Knowledge infrastructure is an intellectual framework for creating, sharing, and distributing knowledge. In this paper, we use knowledge infrastructure to address common barriers to entry into numerical modeling in Earth sciences as demonstrated in three computational narratives: physical process modeling education, replicating published model results, and reusing published models to extend research. We outline six critical functional requirements: 1) workflows designed for new users; 2) community-supported collaborative web platform; 3) distributed data storage; 4) software environment; 5) personalized cloud-based high-performance computing platform; and 6) a standardized open source modeling framework. Our methods meet these functional requirements by providing three interactive computational narratives for hands-on, problem-based research using Landlab on HydroShare. Landlab is an open-source toolkit for building, coupling, and exploring two-dimensional numerical models. HydroShare is an online collaborative environment for the sharing of data and models. We describe the methods we are using to accelerate knowledge development by providing a suite of modular and interoperable process components that allows students, domain experts, collaborators, researchers, and sponsors to learn by exploring shared data and modeling resources. The system is designed to support uses on the continuum from fully-developed modeling applications to prototyping research software tools. Landlab notebooks are available for interactive computing on HydroShare at https://doi.org/10.4211/hs.fdc3a06e6ad842abacfa5b896df73a76 and for further development on Github at https://zenodo.org/badge/latestdoi/187289993.