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: 1542058
• 负责人: Heather Lynch
• 金额: $ 2.73万
• 依托单位: SUNY at Stony Brook
• 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 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1542058&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.

极地网络基础设施的当前主要挑战之一是管理和完全利用高分辨率商业图像的数量，目前已在极地地区收集。这些数据可用于了解由于气候变化和其他过程而导致的极性区域的变化。这些影响的全球社会经济成本的潜力使得更好地理解极地系统是紧迫的优先事项。了解极性气候变化和极性气候系统之间的联系的机制需要将现场数据，卫星，机载图像和计算机模型输出的高分辨率观测值组合在一起。 计算方法有可能支持这些和其他数据类型的更快，更细粒度的整合以及分析，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，这将使Polar Sciences社区能够在短期和长期内解决重大挑战。该项目的影响将在提高利用高级Cyber​​infradstructure和高级表现的能力方面，并分布了分布的高级计算，从而从根本上改变了规模，精致的科学问题。 该项目将不会实施这些变化，而是要识别并为在极地科学的这种影响下奠定基础。项目人员将确定对高性能和分布计算的吸收的主要障碍，并将通过基于社区的解决方案和培训的结合来减轻它们。 该项目还将制作一个路线图，详细说明一种可靠有效的方法来应对极地科学界面临的长期计算挑战，并可能计划有效解决这些挑战。该项目将建立社区参与的机制，其中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。