A sustainable collaboratory for coastal resilience research
A sustainable collaboratory for coastal resilience research
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沿海复原力研究的可持续合作实验室
DOI：
10.1016/j.future.2019.11.002
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
R. Dooley
中科院分区：
文献类型：
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作者：
Shuai Yuan;Steven R. Brandt;Q. Chen;Ling Zhu;Reza Salatin;R. Dooley
我们的目标是创建一个云就绪的开源沿海建模工具库，使科学家和工程师能够使用高性能计算机来研究各种物理和生态过程。我们正在构建的系统利用了Docker、Singularity和Agave Platform，以（1）直观、（2）可重复、（3）协作的方式创建了一个运行作业和分析数据的平台。本文描述了将这四种技术集成到服务于海岸恢复力研究合作实验室的系统中的方法。四个开源的数值模型被用来证明该系统的效用。以2012年飓风伊萨克（Hurricane Issac）产生的海浪、海岸波浪演变和桥梁甲板上的波浪力为例进行了模拟。对合作实验室的可持续性进行了详细的讨论。
Our goal is to create a cloud-ready repository of open-source coastal modeling tools which enable scientists and engineers to use high performance computers to study a variety of physical and ecological processes. The system we are building leverages Jupyter notebooks, Docker, Singularity, and the Agave Platform to create a platform for running jobs and analyzing data in a way that is (1) intuitive, (2) repeatable, (3) and collaborative.The paper describes the methodology to integrate the four technologies into the system that serves the coastal resilience research collaboratory. Four open-source numerical models are used to demonstrate the utility of the system. Simulation results of ocean waves generated by Hurricane Issac (2012), coastal wave evolution, and wave forces on a bridge deck are presented as an illustration. The sustainability of the collaboratory is discussed in detail.
用于大规模地理空间分析的 CyberGIS-Jupyter 框架
DOI：
10.1145/3093338.3093378
发表时间：
2017
期刊：
Success and Impact
影响因子：
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作者：
Yin, Dandong;Liu, Yan;Padmanabhan, Anand;Terstriep, Jeff;Rush, Johnathan;Wang, Shaowen
通讯作者：
Wang, Shaowen