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.

这项旅行赠款旨在建立首席研究员之间的合作，这是纽卡斯尔大学数学与统计学院的新任命的讲师，以及美国博尔德的国家大气研究中心（NCAR）（NCAR）（NCAR）（NCAR）（NCAR）（美国博尔德（NCAR）的最高研究中心之一使用统计模型，美国和世界上的气候在气候数据压缩中。专门针对气候产量的压缩算法的开发是科学界的新建，而NCAR目前是唯一追求这一创新研究领域的机构。基于统计的压缩算法的开发以及评估压缩质量的方法，将使气候科学家能够生成大量数据，以提高对地球系统的科学理解并提供更可靠的未来气候预测。 PI为气候集合开发了一种基于统计的压缩算法，该算法已经在顶级统计期刊上发表，并打算将方法扩展到多个变量，这是对NCAR科学家对高兴趣的研究。作为这项合作的一部分，纽卡斯尔大学的EPSRC云计算博士培训中心的联合博士建议将被概念化和起草。这次访问将于2015年6月至2015年8月之间进行，将与PI和Newcastle University在气候建模方面与全球领先的机构进行国际合作，该机构将导致顶级统计和地球科学研究期刊的备受瞩目的出版物。