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

气候研究具有巨大的意义，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(例如天气雷达、卫星等)的部署持续增加，导致需要有效地分发到云中的数据量大幅增加。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。该项目的目标是通过科学工作流程更好地支持气候研究人员，使他们能够开发更好的天气预警和预报系统。该项目的目标是调查当前计算、数据和网络资源的联邦，以便简化气候和大气科学研究人员的科学工作流程的发展。雪碧的最终目标是为国家气候发现云(NDC-C)的设计做出贡献，其首要目的是促进与气候相关的科学和工程。拟议的研究将利用现有的试验台，包括位于达拉斯/沃斯堡Metroplex的CASA雷达网络，以及几个由NSF支持的试验台，如CloudLab、Chameleon Cloud、Open Cloud Tested、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大气观测。严重的天气和气候变化具有全球影响，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，但我们也将利用我们与国家气象局、遥感行业等关键实体以及国家大气研究中心等国家实验室的长期合作来分享我们的成果并使其广泛应用。项目成果将在Paros大气研究中心的网站上公布，网址为https://www.umass.edu/paros-atmospheric-center/.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，学术材料将保存在由UMassAmherst图书馆管理的ScholarWorks@UMassAmherst。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.