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大维克托项目，即火山学计算工具和资源基础设施，它为火山学社区提供了一个新的网络基础设施。火山学社区正在转变为一门精通计算机、数据驱动、量化的学科，需要与之匹配的网络基础设施。具体地说，Victor提供了一个平台，用于执行火山过程的数值模拟，包括熔岩流动、火山灰、火山喷发扩散和火山碎屑密度流。在前一个试点阶段，启动了Victor平台，并制定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，从而扩展Victor的功能。VICTOR的中心目的是促进火山学模型界提高模型质量和获取机会，并促进模型扫盲和整体合作。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)纳入和整合社区软件代码，(2)讲习班，(3)本科生和研究生班级的教育人员培训和教学模块，以及(4)建立社区治理结构和有效的沟通渠道。所有组件都基于云，以实现基于需求的资源管理、工作流可移植性和再现性，并为更广泛的社区提供对高性能计算的访问。该项目将开发计算工作流程，使用新的能力和模型库来简化模型验证、确认和基准，并使用公共应用编程接口(API)简化对所需外部数据集的访问，例如地形和环境条件。工作流程将利用现代计算工具，如Jupyter笔记本电脑，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投入和产出的标准化，促进对相互关联和多种危险情景的研究。通过保存、重新运行、编辑和测试工作流的功能，将增强建模过程的重复性和可靠性。最终，开放获取模型、数据科学工具和提供的对计算资源的低障碍访问的组合将增加社区的可用性，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优势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.