Using Petascale Computing Capabilities to Address Climate Change Uncertainties

使用千万亿次计算能力应对气候变化的不确定性

• 批准号: 1036146
• 负责人: Donald Wuebbles
• 金额: $ 1.9万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-04-15 至 2015-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1036146&HistoricalAwards=false
• 关键词: Using; Petascale; Computing; Capabilities; Address

This award facilitates scientific research using the large, new, computational resource named Blue Waters being developed by IBM and scheduled to be deployed at the University of Illinois. It provides travel funds to support technical coordination between the principal investigators, the Blue Waters project team and the vendor technical team.The project addresses on-going and crucial needs for understanding and reducing uncertainties associated with numerical modeling of climate change through characterizing and accounting for current model limitations in order to reduce uncertainty associated with projected trends in our climate. The simulations and analyses are designed to use the Blue Waters petascale computing resources. The two major objectives of the project will address long recognized issues associated with understanding climate sensitivity and with model resolution. The unique super-ensemble approach used in the climate sensitivity studies and the advanced dynamical model cores used in the high resolution studies both require petascale capabilities.This project will use state-of-the-art computational resources, namely Blue Waters, and cutting-edge modeling software in advancing the study of climate that will contribute to international (and national) assessments of the potential impacts of climate change over this century. The proposed research will be carried out collaboratively by a team of leading climate scientists who will also provide interdisciplinary training to students and postdoctoral fellows through cross-disciplinary fertilization in both thinking and ideas that will be fostered through the close interactions on this project. This will provide them with invaluable insights into both the research and educational processes. The data produced by the simulations will be made available to the larger community of research scientists.

该奖项促进了使用IBM开发的名为Blue沃茨的大型新计算资源的科学研究，并计划部署在伊利诺伊大学。该项目提供差旅费，以支持主要研究人员、蓝色沃茨项目团队和供应商技术团队之间的技术协调，该项目通过描述和说明当前模型的局限性，解决理解和减少与气候变化数值模拟相关的不确定性的持续和关键需求，以减少与气候预测趋势相关的不确定性。模拟和分析的目的是使用蓝色沃茨千万亿次计算资源。该项目的两个主要目标将解决与了解气候敏感性和模式分辨率有关的长期公认的问题。在气候敏感性研究中使用的独特超级集合方法和在高分辨率研究中使用的先进动力学模式核心都需要千万亿次的能力。这个项目将使用最先进的计算资源，即蓝色沃茨，和先进的建模软件，在推进气候研究，将有助于国际（和国家）对本世纪气候变化潜在影响的评估。拟议的研究将由一个领先的气候科学家团队合作进行，他们还将通过跨学科的思维和想法，为学生和博士后研究员提供跨学科的培训，这些思维和想法将通过该项目的密切互动来培养。这将为他们提供研究和教育过程的宝贵见解。模拟产生的数据将提供给更广泛的研究科学家社区。