Collaborative Research: PetaApps: New Coupling Strategies and Capabilities for Petascale Climate Modeling

合作研究：PetaApps：千万亿次气候建模的新耦合策略和功能

• 批准号: 0749165
• 负责人: Benjamin Kirtman
• 金额: $ 22.54万
• 依托单位: University of Miami
• 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: 2008-03-01 至 2012-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0749165&HistoricalAwards=false
• 关键词: Collaborative; Research; PetaApps; New; Coupling

Intellectual MeritProject proposes a three-year research and development effort, aimed at enabling a broad climate science capability for petascale systems, with four major thrusts:? Investigating the suitability of next-generation computer languages andcompilers in prototype petascale coupler component design.? Extending the Flux Coupler design to efficiently support embedded ensemble based climate modeling techniques.? Providing rich opportunities for interdisciplinary research and education bybringing computer scientists and climate researchers and their graduate students together to work on this project.? Working with the CCSM core group and others to ensure the fullest possibledissemination of our software and results.Investigators will use novel interactive ensemble and stochastic physics techniques to obtain new insights about many basic but poorly understood questions in climate dynamics that depend on the stochastic nature of fluctuations in the Earth?s atmosphere, oceans, cryosphere, and land surface. Interactive ensembles embedded in climate models will enable the non-trivial use of large processor counts within a single coupled climate application. The flexibility and power of PGAS languages will be used address the scalability and complexity challenges of the petascale Flux Coupler.Broader ImpactsThe CCSM is a community model used by hundreds of researchers, and is one of the climate models used in the International Panel on Climate Change (IPCC) assessments. By enabling the CCSM to make use of petascale systems, this project will permit the U.S. to keep pace with similar efforts in Europe and Japan. This research will provide a basis for improving our understanding of the role of noise in climate system dynamics for seasonal prediction and global climate change. While this proposal focuses on climate science, the byproducts of the work are applicable to coupled modeling problems in other science and engineering fields, particularly the geosciences, and can inform the long-range design plans of other coupling tools and frameworks. Finally, the project will bring together graduate students in computer science and climate science to work on petascale problems, thus training the next generation of computational scientists.

智力MeritProject提出了一项为期三年的研究和开发工作，旨在为千万亿次系统提供广泛的气候科学能力，有四个主要目标：研究下一代计算机语言和编译程序在千万亿次耦合器元件设计中的适用性。扩展通量耦合器设计以有效支持基于嵌入式集合的气候建模技术。通过将计算机科学家和气候研究人员及其研究生聚集在一起，为跨学科研究和教育提供丰富的机会。与CCSM核心小组和其他人合作，以确保我们的软件和结果的最大可能的传播。研究人员将使用新的交互式集合和随机物理技术，以获得有关气候动力学中许多基本但知之甚少的问题的新见解，这些问题取决于地球波动的随机性。的大气层，海洋，冰冻圈和陆地表面。嵌入在气候模型中的交互式集成将使大型处理器在单个耦合气候应用程序中的非平凡使用成为可能。PGAS语言的灵活性和强大功能将用于解决千万亿次通量耦合器的可扩展性和复杂性挑战。更广泛的影响CCSM是数百名研究人员使用的社区模型，也是国际气候变化专门委员会（IPCC）评估中使用的气候模型之一。通过使CCSM能够使用千万亿次系统，该项目将使美国能够跟上欧洲和日本的类似努力。这项研究将为提高我们对噪声在气候系统动力学中的作用的理解，以进行季节预测和全球气候变化提供基础。虽然这项建议的重点是气候科学，但这项工作的副产品适用于其他科学和工程领域的耦合建模问题，特别是地球科学，并可以为其他耦合工具和框架的长期设计计划提供信息。最后，该项目将把计算机科学和气候科学的研究生聚集在一起，研究千万亿次问题，从而培养下一代计算科学家。