G8 Initiative: ExArch: Climate Analytics on Distributed Exascale Data Archives

G8 倡议：ExArch：分布式百亿亿次数据档案气候分析

• 批准号: 1125798
• 负责人: Duane Waliser
• 金额: $ 29.56万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-03-01 至 2017-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1125798&HistoricalAwards=false
• 关键词: G8; Initiative; ExArch; Climate; Analytics

This NSF award to UCLA funds U.S. researchers participating in a project competitively selected by the G8 Research Councils Initiative on Multilateral Research through the Interdisciplinary Program on Application Software towards Exascale Computing for Global Scale Issues. This is a pilot collaboration among the U.S. National Science Foundation, the Canadian National Sciences and Engineering Research Council (NSERC), the French Agence Nationale de la Recherche (ANR), the German Deutsche Forschungsgemeinschaft (DFG), the Japan Society for the Promotion of Science (JSPS), the Russian Foundation for Basic Research (RFBR),and the United Kingdom Research Councils (RC-UK), supporting collaborative research projects selected on a competitive basis that are comprised of researchers from at least three of the partner countries. This international project targets the rapidly growing demands of climate science data management as models increase the precision with which they depict spatial structure and the completeness with which they describe a vast range of physical processes. The ExArch project is principally a framework for the scientific interpretation of multi-model ensembles at the peta-and exa-scale. It applies a strategy, a prototype infrastructure and demonstration usage examples in the context of the imminent CMIP5 archive, which will be the largest of its kind ever assembled in this domain. It will attach the ExArch framework to the CORDEX experiment, pushing beyond CMIP5 in resolution, albeit at regional scale. This international project involving collaborating researchers in six countries will explore the challenges of developing a software management infrastructure which will scale to the multi-exabyte archives of climate data which are likely to be crucial to major policy decisions by the end of the decade. In the short term, strategies will be evaluated by applying them to existing data archives. The NSF funding to UCLA primarily supports the extension of the information model to earth observational data and the validation of regional climate models with observational data.

该NSF奖授予加州大学洛杉矶分校，资助参与G8研究理事会多边研究倡议通过全球规模问题应用软件跨学科计划竞争性选择的一个项目的美国研究人员。这是美国国家科学基金会、加拿大国家科学与工程研究理事会(NSERC)、法国国家科学与工程研究理事会(ANR)、德国联邦科学促进会(DFG)、日本科学促进会(JSPS)、俄罗斯基础研究基金会(RFBR)和英国研究理事会(RC-UK)之间的试点合作，支持在竞争基础上选出的由至少三个合作伙伴国家的研究人员组成的合作研究项目。这一国际项目的目标是气候科学数据管理方面迅速增长的需求，因为模型提高了描述空间结构的精确度和描述各种物理过程的完整性。ExARCH项目主要是一个框架，用于在善待动物组织和外部尺度上对多模型合奏进行科学解释。它在即将到来的CMIP5档案的背景下应用了一项战略、一个原型基础设施和示范使用示例，这将是该领域有史以来最大的同类档案。它将把ExARCH框架附加到CORDEX实验中，在分辨率上超过CMIP5，尽管是在区域范围内。这一涉及六个国家合作研究人员的国际项目将探索开发软件管理基础设施的挑战，该基础设施将扩展到气候数据的多艾字节档案，这些数据可能在本十年结束时对重大政策决策至关重要。在短期内，将通过将战略应用于现有的数据档案来评估战略。国家科学基金会向加州大学洛杉矶分校提供的资金主要用于支持将信息模型扩展到地球观测数据，并用观测数据验证区域气候模型。