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

这一试点项目旨在展示一种新的简化方法，以便利用先进的网络基础设施对火山喷发进行建模和数据分析。生命和财产的风险源于火山碎屑流、火山灰沉降物和熔岩流淹没，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、流动物理学和计算科学之间的复杂相互作用。跨学科合作、工具和资源的火山学中心(VICTOR)将借鉴以往网络基础设施(VHUB)的经验教训。访问将通过一个中央门户网站进行。所有组件都将基于云，以实现基于需求的资源管理、工作流程可移植性和再现性，并使更广泛的科学界能够使用高性能计算。这些组成部分将为火山科学家提供网络基础设施，以加快模型的开发和应用，以减少火山喷发的威胁。Victor的一个重要组成部分将是通过示范实例、讲习班、教程和网络研讨会，向社区介绍和培训计算火山学的最新方法。维克托的科学和计算工作流程演示涉及实施新的网络基础设施能力和模型库，以：(1)改进模型验证、确认和基准，(2)评估相互关联和变化的灾害，以及(3)以稳健、简化的方式将火山喷发与岩浆运输系统的其他部分和其他相关地球系统连接起来。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，以改进参数估计和不确定性量化。工作流程将使用Dockers和电子笔记本等现代计算工具进行集装箱化，最大限度地减少查找、安装、运行和测试模型的耗时步骤。将证明，可以使用工作流程对模型输入和输出进行标准化，从而促进对相互关联和多种危险情景的研究。可以保存、重新运行、编辑和质询工作流，从而提高建模过程的重复性和可靠性。最终，这些集装箱化的模型、数据科学工具和对计算资源的低障碍访问将增加社区的可用性并加速科学的发展。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 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.