Collaborative Research: EarthCube Data Capabilities: Volcanology hub for Interdisciplinary Collaboration, Tools and Resources (VICTOR)

该试点项目旨在展示利用先进的网络基础设施对火山爆发和数据分析进行建模的一种新的简化方法。火山碎屑流、火山灰沉降物和熔岩流淹没对生命和财产造成了威胁，因此火山科学界努力开发计算机模型，以更好地理解这些和类似的现象。然而，有效的模型需要火山科学、流体物理学和计算科学之间复杂的相互作用。跨学科合作、工具和资源火山学中心（VICTOR）将以以前的网络基础设施（VHub）的经验教训为基础。访问将通过一个中央门户网站。所有组件都将基于云，以实现基于需求的资源管理、工作流可移植性和可重复性，并为更广泛的科学界提供高性能计算的访问。这些组件将为火山科学家提供网络基础设施，以加速模型开发和应用，以减少火山爆发的威胁。VICTOR的一个重要组成部分将是通过演示示例、研讨会、教程和网络研讨会，向社区展示和培训计算火山学的最新方法。VICTOR中科学和计算工作流程的演示涉及实施新的网络基础设施功能和模型库，以：(1)改进模型验证、验证和基准测试，(2)评估相关和变化的危害，以及(3)以稳健、精简的方式将火山喷发与岩浆运输系统的其他部分以及其他相关的地球系统联系起来。这些工作流程将使用数据科学技术，包括机器学习和数值反演来改进参数估计和不确定性量化。工作流程将使用现代计算工具（如dockers和电子笔记本）进行容器化，从而最大限度地减少定位、安装、运行和测试模型的耗时步骤。将证明模型输入和输出可以使用工作流程进行标准化，从而促进对关联和多危害情景的研究。工作流可以保存、重新运行、编辑和挑战，从而增强了建模过程的再现性和可靠性。最终，这些容器化模型、数据科学工具和提供的对计算资源的低门槛访问将提高社区的可用性并加速科学的发展。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识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 pilot project is designed to demonstrate a new and streamlined approach to modeling of volcanic eruptions and analysis of data using advanced cyberinfrastructure. Risks to life and property stem from pyroclastic flows, volcanic ash fallout, and lava flow inundation, so the volcano science community strives to develop computer models to better understand these and similar phenomena. Yet, effective models require a complex interplay between volcano science, physics of flows and computational science. The Volcanology hub for Interdisciplinary Collaboration, Tools and Resources (VICTOR) will build upon lessons learned from previous cyberinfrastructure (VHub). Access will be through a central web portal. All components will be 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 scientific community. These components will provide volcano scientists with cyberinfrastructure to accelerate model development and application to reduce the threats from volcano eruptions. An essential component of VICTOR will be exposing and training of the community to latest approaches in computational volcanology through demonstration examples, workshops, tutorials and webinars. Demonstration of science and computational workflows in VICTOR involves implementing new cyberinfrastructure capabilities and libraries of models to: (1) improve model verification, validation, and benchmarking, (2) assess linked and changing hazards, and (3) connect volcanic eruptions with other parts of the magma transport system and with other related earth systems in a robust, streamlined way. These workflows will use data science techniques, including machine learning and numerical inversion to improve parameter estimation and uncertainty quantification. Workflows will be containerized using modern computing tools such as dockers and electronic notebooks, minimizing the time-intensive steps of locating, installing, running and testing models. It will be demonstrated that model inputs and outputs can be standardized using workflows, facilitating studies of linked- and multi-hazard scenarios. Workflows can be saved, re-run, edited and challenged, enhancing reproducibility and reliability of the modeling process. Ultimately, these containerized models, data science tools, and provisioned low-barrier access to computing resources will increase usability by the community and accelerate the 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.