EarthCube RCN: Collaborative Research: Research Coordination Network for High-Performance Distributed Computing in the Polar Sciences

EarthCube RCN：协作研究：极地科学高性能分布式计算的研究协调网络

• 批准号: 1542110
• 负责人: Shantenu Jha
• 金额: $ 20.09万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2020-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1542110&HistoricalAwards=false
• 关键词: EarthCube; RCN; Collaborative; Research; Coordination

One of the major current challenges with polar cyberinfrastructure is managing and fully exploiting thevolume of high-resolution commercial imagery now being collected over the polar regions. This data can be used to understand the changes in polar regions due to climate change and other processes. The potential of global socio-economic costs of these impacts make it an urgent priority to better understand polar systems. Understanding the mechanisms that underlie polar climate change and the links between polar and global climate systems requires a combination of field data, high-resolution observations from satellites, airborne imagery, and computer model outputs. Computational approaches have the potential to support faster and more fine-grained integration and analysis of these and other data types, thus increasing the efficiency of analyzing and understanding the complex processes. This project will support advances in computing tools and techniques that will enable the Polar Sciences Community to address significant challenges, both in the short and long-term.The impact of this project will be in the improvements in the ability to utilize advanced cyberinfrastructure and high-performance distributed computing to fundamentally alter the scale, sophistication and scope of polar science problems that will be addressed. This project will not implement those changes but will identify and lay the groundwork for such impact across the Polar Sciences. The Project personnel will identify primary barriers to the uptake of high-performance and distributed computing and will help alleviate them through a combination of community based solutions and training. The project will also produce a roadmap detailing a credible and effective way to meet the long-term computing challenges faced by the Polar Science community and possible plans to effectively address them. This project will establish mechanisms for community engagement which include, gathering technical requirements for polar cyberinfrastructure and supporting and training early career scientists and graduate students.

当前极地网络基础设施面临的主要挑战之一是管理和充分利用目前在极地地区收集的大量高分辨率商业图像。这些数据可用于了解气候变化和其他过程导致的极地地区的变化。这些影响可能造成的全球社会经济成本使得更好地了解极地系统成为当务之急。了解极地气候变化的机制以及极地和全球气候系统之间的联系需要结合现场数据、卫星高分辨率观测、机载图像和计算机模型输出。 计算方法有可能支持这些数据类型和其他数据类型的更快、更细粒度的集成和分析，从而提高分析和理解复杂过程的效率。该项目将支持计算工具和技术的进步，使极地科学界能够应对短期和长期的重大挑战。该项目的影响将在于提高利用先进网络基础设施和高水平的能力。 -性能分布式计算从根本上改变将要解决的极地科学问题的规模、复杂性和范围。 该项目不会实施这些变化，但将确定并为极地科学领域的这种影响奠定基础。项目人员将确定采用高性能和分布式计算的主要障碍，并将通过基于社区的解决方案和培训相结合来帮助缓解这些障碍。 该项目还将制定一份路线图，详细说明应对极地科学界面临的长期计算挑战的可靠且有效的方法，以及有效解决这些挑战的可能计划。该项目将建立社区参与机制，包括收集极地网络基础设施的技术要求以及支持和培训早期职业科学家和研究生。