Collaborative Research: CDI-Type II--The Open Wildland Fire Modeling E-community: A Virtual Organization Accelerating Research, Education, and Fire Management Technology

合作研究：CDI-Type II——开放荒地火灾建模电子社区：一个加速研究、教育和火灾管理技术的虚拟组织

• 批准号: 0835598
• 负责人: Janice Coen
• 金额: $ 35.51万
• 依托单位: University Corporation For Atmospheric Res
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-11-01 至 2013-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0835598&HistoricalAwards=false
• 关键词: Collaborative; Research; CDI; Type; II

The losses associated with wildfires and the wish to understand, predict, and control wildfires have driven researchers to create ever more detailed and powerful computational models. However, the necessary sophistication and realism requires scientific computing and analysis processes of a complexity that has itself become a hindrance to further progress and education. In addition, the research is done by geographically disperse interdisciplinary groups, and making their models interoperate is a challenge. This project strives to overcome this complexity and challenges to collaboration by state-of-the-art software engineering, visualization, and collaboration tools. The results will find applications in wildfire research, education, training, and management. The project will provide a web-based service in which a visitor can transparently interact with combinations of fire behavior models, weather models, and data sources, and a software environment where researchers can contribute their software and data. This portal will be seeded with existing software of the investigators and their collaborators, attract new collaborators, and serve as a focus for a vibrant online community. The investigators have already obtained the commitment of a number of prominent fire researchers, educators, and managers to participate. Immersive, video game-like, dynamic high-performance visualization will be provided as freely downloadable PC client software. The computational engine behind the portal will run on a local computer cluster and remote supercomputers. The project will build on existing community software in numerical weather prediction, component based software engineering, and 3D visualization. It will increase the impact of the research by providing a common open-source environment, new accessible data repositories, and collaboration tools. Fulfilling this vision will require transformational advances in mathematical modeling of wildland fires, software engineering, and social modes of collaboration. The investigators will build on their recent achievements in these areas to make significant additional contributions in each. New methods in data assimilation will make it possible to incorporate real-time data into wildfire models. Improvements in component-based software will make it possible to isolate the complexity of computing and analysis into separate models and automate the process of connecting these models. A highly integrated visualization environment will facilitate exploring what-if scenarios in a collaborative data environment. The coupled models will enable a new level of understanding of complexity that goes beyond the wildfire dynamics. The project will create a new generation of cyber-trained students provided with hands-on experience with state of the art wildfire-weather models and efficient fire management. Its web-based service will be beneficial in education at all levels. It will build tools to minimize the separation between interdisciplinary groups around the world, between research and educational institutions, and between research and operational fire forecasting. The project includes outreach to general public and K-12 education through NCAR events and activities, and integration of the e-community into undergraduate and graduate courses.

与野火相关的损失以及了解、预测和控制野火的愿望促使研究人员创建更加详细和强大的计算模型。然而，必要的复杂性和现实性需要复杂的科学计算和分析过程，这本身就成为进一步进步和教育的障碍。此外，这项研究是由地理上分散的跨学科小组完成的，使他们的模型互操作是一个挑战。该项目致力于通过最先进的软件工程、可视化和协作工具来克服这种复杂性和协作挑战。研究结果将应用于野火研究、教育、培训和管理。该项目将提供基于网络的服务，访问者可以透明地与火灾行为模型、天气模型和数据源的组合进行交互，以及研究人员可以贡献其软件和数据的软件环境。该门户将植入研究人员及其合作者的现有软件，吸引新的合作者，并成为充满活力的在线社区的焦点。调查人员已经获得了一些著名火灾研究人员、教育工作者和管理人员的参与承诺。沉浸式、视频游戏般的动态高性能可视化将作为可免费下载的 PC 客户端软件提供。门户背后的计算引擎将在本地计算机集群和远程超级计算机上运行。该项目将建立在数值天气预报、基于组件的软件工程和 3D 可视化方面的现有社区软件的基础上。它将通过提供通用的开源环境、新的可访问数据存储库和协作工具来增加研究的影响力。实现这一愿景需要在荒地火灾数学建模、软件工程和社会协作模式方面取得变革性进展。研究人员将基于他们最近在这些领域取得的成就，在每个领域做出重大的额外贡献。数据同化的新方法将使将实时数据纳入野火模型成为可能。基于组件的软件的改进将使得将计算和分析的复杂性隔离到单独的模型中并使连接这些模型的过程自动化成为可能。高度集成的可视化环境将有助于探索协作数据环境中的假设场景。耦合模型将使人们对复杂性的理解达到一个新的水平，超越野火动力学。该项目将培养新一代经过网络培训的学生，让他们获得最先进的野火天气模型和高效火灾管理的实践经验。其基于网络的服务将有利于各级教育。它将构建工具来最大限度地减少世界各地跨学科团体之间、研究和教育机构之间以及研究和业务火灾预报之间的分离。该项目包括通过 NCAR 活动向公众和 K-12 教育进行推广，以及将电子社区融入本科生和研究生课程。