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.

该奖项促进了科学研究，使用由IBM开发的大型，新的计算资源，并计划在伊利诺伊大学部署。它提供了旅行资金，以支持主要研究人员，蓝色水域项目团队和供应商技术团队之间的技术协调。该项目满足了持续和关键的需求，以理解和减少与当前模型限制表征和对气候限制的数值变化相关的不确定性的不确定性，以减少与我们的气候下的预测趋势相关的不确定性。这些模拟和分析旨在使用蓝色水域佩斯卡尔计算资源。该项目的两个主要目标将解决与理解气候敏感性和模型解决方案相关的长期公认问题。高分辨率研究中使用的气候敏感性研究和先进的动力学模型核心所使用的独特超级征服方法都需要佩斯卡尔（Petascale）的能力。该项目将使用最先进的计算资源，即蓝色水域和最先进的建模软件来推进气候研究，从而对国际（和国家）对气候变化的潜在影响产生影响。拟议的研究将由一群领先的气候科学家团队共同进行，他们还将通过跨学科的施肥在思想和思想中为学生和博士后研究员提供跨学科的培训，这些培训将通过该项目的紧密互动来促进这些培训。这将为他们提供有关研究和教育过程的宝贵见解。模拟产生的数据将提供给更大的研究科学家社区。