Data Storage System for Analysis of Climate Change Simulations and Climate Change Impacts Research

总结 这里提出的基础设施是一个本地数据存储系统，旨在补充气候科学专用的1024核高性能集群（Nefelibata），该集群于2016年10月投入运营，作为St弗朗西斯泽维尔大学加拿大气候动力学研究主席获得的基础设施的一部分。该集群为我们的研究人员和学生提供了在可行的时间框架内运行计算昂贵的并行全球气候模型和高分辨率区域气候模型的能力，因为处理器间的快速通信。气候建模是CRC气候动力学（Beltrami）和MacDougall研究计划的核心组成部分。Nefelibata的访问权限目前正在管理中，因此我们的团队，研究生和加拿大合作者可以完全不受阻碍地访问资源。 然而，由于该集群位于200公里以外的哈利法克斯，为分析和解释气候模拟而不断传输大量数据是费时、低效和不现实的。所要求的数据存储系统将使教师，研究生和博士后研究员能够更有效地进行区域气候建模研究的分析，并在国内和国际上具有竞争优势。这种资源对于了解低层大气、地面和地下之间的能量交换过程特别重要，这是全球了解地球能量平衡过程中最被忽视的研究领域之一。此外，一个地方数据存储和分析系统将允许建立与工业有关的区域规模进程的模型，例如风能等能源的生产，以及与地方市政当局-特别是农村地区-和寻求执行地方规模政策以适应和减轻气候变化影响的区域社区有关的区域规模进程的模型。所要求的本地数据存储设备对于有效分析远程集群生成的气候模拟至关重要。鉴于气候模型生成的数据量巨大，我们的本地存储便利对于分析和解释以及实现我们在StFX的研究目标和培训目标至关重要。该数据存储基础设施将促进我们的团队与StFX大学其他研究人员在减缓和适应气候变化领域的持续合作，包括健康和社会科学家。该基础设施将有利于加拿大和加拿大大西洋地区，并提高研究能力，招聘和保留教师以及根据纽芬兰纪念大学与StFX之间的新协议招聘研究生，允许博士生居住在StFX。

Summary The infrastructure proposed here is a local Data Storage System intended to complement a climate science dedicated 1024-core high-performance cluster (Nefelibata) that went into operation in October 2016 as part of the infrastructure obtained by the Canada Research Chair in Climate Dynamics resident at St Francis Xavier University. The cluster provides our researchers and students the ability to run computationally expensive parallelizable Global Climate Models and high-resolution Regional Climate Models within a workable time frame on account of the fast inter-processor communication. Climate modelling forms a core component of the CRC in Climate Dynamics (Beltrami) and MacDougall’s research programs. Nefelibata’s access is currently managed such that our team, graduate students and Canadian collaborators have full and unimpeded access to the resource. However, because the cluster is located 200 km away in Halifax, continuous transfer of high volumes of data for analysis and interpretation of the climate simulation is time consuming, inefficient and unrealistic. The requested Data Storage System will enable faculty, graduate students and postdoctoral fellows to conduct the analysis for their research on regional climate modeling, much more efficiently and to have a competitive advantage nationally and internationally. Such a resource is particularly important to understand the processes involved in energy exchanges between the lower atmosphere, the ground and the subsurface, which is one of the most neglected areas of research within global understanding of the Earth’s energy balance. In addition, a local data storage and analysis system will allow for the modelling of regional scale processes relevant to industry such as the generation of energy, for example, wind energy, and to local municipalities -in particular rural areas, and regional communities seeking to implement local-scale policies to adapt and mitigate the effects of climate change. The local data storage equipment requested is critical to the efficient analysis of the climate simulations generated from the remote cluster. Given that the volume of data generated by climate models is huge, our local storage facilitate is crucial for the analysis and interpretation and to achieve the research objectives and training goals of our group at StFX. This data storage infrastructure will facilitate ongoing collaborations of our team with other researchers at StFX University in the area of mitigation and adaptation to climate change that include health and social scientists. The infrastructure will be a benefit for Canada and Atlantic Canada, as well as improving the research capacity, recruitment and retention of faculty and the recruitment of graduate students under a new agreement between Memorial University of Newfoundland and StFX, allowing Doctoral students to be resident at StFX.