Visit to NCAR for Statistical-based Compression of Climate Model Output

访问 NCAR 对气候模型输出进行统计压缩

• 批准号: EP/N008162/1
• 负责人: Stefano Castruccio
• 金额: $ 0.9万
• 依托单位: Newcastle University
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FN008162%2F1
• 关键词: Visit; NCAR; Statistical; based; Compression

This travel grant aims at establishing a collaboration between the Principal Investigator, a newly appointed Lecturer in the School of Mathematics & Statistics at Newcastle University, and the National Center for Atmospheric Research (NCAR) in Boulder, USA (one of the top research centers in climate in the United States and in the world) on a project in climate data compression using statistical models. The development of compression algorithms specifically aimed at climate output is new to the scientific community, and NCAR is, at present, the only institution pursuing this innovative research area. The development of statistically-based compression algorithms, as well as methodologies to assess the quality of the compression, will allow climate scientists to generate a larger quantity of data, to improve their scientific understanding of the Earth's system and to deliver more reliable future climate projections. The PI has developed a statistical based compression algorithm for climate ensemble that has already been published in a top statistical journal, and intends to extend the methodology to multiple variables, an investigation of high interest to NCAR scientists. As part of this collaboration, a joint PhD proposal for the EPSRC Centre for Doctoral Training in Cloud Computing for Big Data at Newcastle University will be conceptualized and drafted. The visit, which will be scheduled between June and August 2015, will contribute to initiate an international collaboration with a world leading institution in climate modelling with the PI and Newcastle University that will lead to high profile publications in top Statistics and Geosciences research journals.

这笔旅费赠款旨在建立主要研究者之间的合作，一个新任命的讲师在数学与统计学院在纽卡斯尔大学，和国家大气研究中心（NCAR）在博尔德，美国（在美国和世界上最顶尖的气候研究中心之一）在一个项目中的气候数据压缩使用统计模型。专门针对气候输出的压缩算法的开发对科学界来说是新的，NCAR是目前唯一一个从事这一创新研究领域的机构。开发基于地理的压缩算法以及评估压缩质量的方法，将使气候科学家能够生成更多的数据，提高他们对地球系统的科学认识，并提供更可靠的未来气候预测。PI已经开发了一种基于统计的气候集合压缩算法，该算法已经发表在顶级统计杂志上，并打算将该方法扩展到多个变量，这是NCAR科学家高度感兴趣的研究。作为此次合作的一部分，纽卡斯尔大学EPSRC大数据云计算博士培训中心的联合博士提案将被概念化和起草。这次访问将安排在2015年6月至8月之间，将有助于启动与PI和纽卡斯尔大学的气候建模世界领先机构的国际合作，这将导致在顶级统计和地球科学研究期刊上发表高调文章。