EAGER: SPRITE: Sensor Processing and Realtime Intelligence at The Edge - Supporting the National Discovery Cloud for Climate with Advanced Networking, Cloud, and Edge Computing

EAGER：SPRITE：边缘传感器处理和实时智能 - 通过先进的网络、云和边缘计算支持国家气候发现云

• 批准号: 2335335
• 负责人: Michael Zink
• 金额: $ 30万
• 依托单位: University of Massachusetts Amherst
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2335335&HistoricalAwards=false
• 关键词: EAGER; SPRITE; Sensor; Processing; Realtime

Climate research holds immense significance due to its direct impact on various aspects of our lives and the environment. As a result, there has been a consistent rise in the deployment of atmospheric sensors (e.g., weather radars, satellites, etc.), leading to a substantial increase in data volumes that need to be efficiently distributed to the cloud. This project will investigate the implementation of distributed machine learning for climate modeling and weather forecasting. The goal of this project is to better support climate researchers with scientific workflows that will enable them to develop better weather warning and forecast systems.The project's objective is to investigate the federation of current computing, data, and networking resources in order to streamline the development of scientific workflows for climate and atmospheric science researchers. The ultimate goal of SPRITE is to contribute to the design of a National Discovery Cloud for Climate (NDC-C), with the overarching purpose of advancing climate-related science and engineering. The proposed research will leverage existing testbeds, including the CASA radar network located in the Dallas/Fort Worth Metroplex, as well as several NSF-supported testbeds such as CloudLab, Chameleon Cloud, Open Cloud Testbed, Open Storage Network, and FABRIC. To accomplish these goals, real atmospheric observations obtained from the CASA testbed and National Weather Service radars will be utilized.Severe weather and changes in climate have a global impact which is manifested through extreme droughts and forest fires, extreme rainfall events and catastrophic flooding, and severe tropical and convective storms. Better warning systems that are based on climate and atmospheric science are required to protect lives and property and limit the impact on our economy. While it is our goal to support the development of NDC-C, we will also use our long-standing collaborations with key entities such as the National Weather Service, remote sensing industry, as well as national laboratories like the National Center for Atmospheric Research (NCAR) to share our results and make them broadly applicable.Project outcomes will be made publicly available on the Paros Center for Atmospheric Research website at https://www.umass.edu/paros-atmospheric-center/. The proposal team is committed to preserving the project website for at least three years after the completion of funding. In addition, scholarly materials will be archived at ScholarWorks@UMass Amherst which is administered by the UMass Amherst libraries.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

气候研究具有重大意义，因为它直接影响到我们生活和环境的各个方面。因此，大气传感器的部署一直在不断增加（例如， 气象雷达、卫星等），导致需要高效地分发到云的数据量的显著增加。该项目将研究分布式机器学习在气候建模和天气预报中的应用。该项目的目标是更好地支持气候研究人员的科学工作流程，使他们能够开发更好的天气警报和预报系统。该项目的目标是调查当前计算，数据和网络资源的联合，以简化气候和大气科学研究人员的科学工作流程的开发。SPRITE的最终目标是为国家气候发现云（NDC-C）的设计做出贡献，其首要目的是推进与气候相关的科学和工程。拟议的研究将利用现有的测试平台，包括位于达拉斯/沃斯堡大都会的CASA雷达网络，以及几个NSF支持的测试平台，如CloudLab，Chameleon Cloud，Open Cloud Testbed，Open Storage Network和FABRIC。为了实现这些目标，将利用从CASA试验台和国家气象局雷达获得的真实的大气观测结果。恶劣天气和气候变化具有全球性影响，表现为极端干旱和森林火灾、极端降雨事件和灾难性洪水以及严重的热带和对流风暴。需要建立以气候和大气科学为基础的更好的预警系统，以保护生命和财产，并限制对我们经济的影响。虽然我们的目标是支持NDC-C的发展，但我们也将利用与国家气象局、遥感行业以及国家大气研究中心（NCAR）等国家实验室的长期合作，分享我们的成果并使其广泛适用。项目成果将在帕罗斯大气研究中心网站https://www.umass.edu/paros-atmospheric-center/上公开。提案小组承诺在完成资助后将项目网站保存至少三年。此外，学术材料将存档在ScholarWorks@UMass Amherst，由UMass Amherst图书馆管理。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。