Collaborative Research: GEO OSE Track 1: Transforming Volcanology towards Open Science in the Cloud with VICTOR

该项目继续开发和扩展 VICTOR 项目（计算工具和资源的火山学基础设施），为火山学界提供了一个新颖的网络基础设施。火山学界正在转变为一门精通计算机、数据驱动的定量学科，需要匹配的网络基础设施。具体来说，VICTOR 提供了一个用于执行火山过程数值模拟的平台，包括熔岩流、火山灰、火山灰扩散和火山碎屑密度流。在之前的试点阶段，启动了 VICTOR 平台并开发了一套初步的代码和工作流程。新项目将通过与社区中的模型和数据库开发人员合作将这些工具连接到平台来扩展 VICTOR 的功能。 VICTOR 的中心目的是促进火山学建模社区提高模型质量和访问，并促进模型素养和整体协作。因此，该项目将特别重视教育和培训。该项目将采取多方面的方法，结合：（1）社区软件代码的纳入和整合，（2）研讨会，（3）本科生和研究生水平课程的教育者培训和教学模块，以及（4）建立社区治理结构和有效的沟通渠道。VICTOR基于JupyterHub平台，通过中央门户网站进行访问。所有组件都基于云，以实现基于需求的资源管理、工作流程可移植性和可重复性，并为更广泛的社区提供高性能计算的访问。该项目将开发计算工作流程，使用新功能和模型库来简化模型验证、验证和基准测试，并使用公共应用程序编程接口（API）简化对地形和环境条件等所需外部数据集的访问。工作流程将利用 Jupyter Notebooks 等现代计算工具，最大限度地减少查找、安装、运行和测试模型的耗时步骤。工作流程将实现模型输入和输出的标准化，促进对关联和多重灾害场景的研究。建模过程的可重复性和可靠性将通过保存、重新运行、编辑和测试工作流程的功能得到增强。最终，开放获取模型、数据科学工具和对计算资源的低门槛访问的结合将提高社区的可用性，并加速向开放科学文化的过渡。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project continues the development and expansion of Project VICTOR, the Volcanology Infrastructure for Computational Tools and Resources, which provides a novel cyberinfrastructure serving the volcanology community. The volcanology community is transforming into a computer-savvy, data-driven, quantitative discipline that requires a matching cyberinfrastructure. Specifically, VICTOR provides a platform for executing numerical simulations of volcanic processes, including lava flows, ash, tephra dispersal, and pyroclastic density currents. During the preceding pilot phase, the VICTOR platform was initiated and a preliminary set of codes and workflows was developed. The new project will expand upon VICTOR capabilities by collaborating with model and database developers in the community to connect these tools to the platform. The central purpose of VICTOR is to catalyze the volcanology modeling community to advance model quality and access and promote model literacy and overall collaboration. Thus, this project will put special emphasis on education and training. The project will take a multi-faceted approach that combines: (1) inclusion and integration of community software codes, (2) workshops, (3) educator training and teaching modules for undergraduate and graduate level classes, and (4) establishment of a community governance structure and effective communication channels.VICTOR is based on a JupyterHub platform, and access is through a central web portal. All components are based in the cloud, to allow for demand-based resource management, workflow portability, and reproducibility, and to offer access to high-performance computing to a broader community. The project will develop computational workflows that use new capabilities and libraries of models to simplify model verification, validation, and benchmarking and streamline access to required external datasets such as topography and environmental conditions using public Application Programming Interfaces (APIs). Workflows will utilize modern computing tools such as Jupyter Notebooks, minimizing the time-intensive steps of locating, installing, running, and testing models. Workflows will enable standardization of model inputs and outputs, facilitating studies of linked- and multi-hazard scenarios. The reproducibility and reliability of the modeling process will be enhanced through capabilities to save, re-run, edit, and test workflows. Ultimately, the combination of open-access models, data science tools, and the provisioned low-barrier access to computing resources will increase usability by the community and accelerate the transition to a culture of open science.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.