CC*DNI Instrument: High-Bandwidth Network Connectivity for Remote Sensing Research

CC*DNI 仪器：用于遥感研究的高带宽网络连接

• 批准号: 1541353
• 负责人: Michael Zink
• 金额: $ 16.3万
• 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: 2015
• 资助国家: 美国
• 起止时间: 2015-11-01 至 2019-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541353&HistoricalAwards=false
• 关键词: CC; DNI; Instrument; Bandwidth; Network

Scientific instruments can produce vast amounts of data. Besides capturing and storing data, it is important to give the global research community fast access to this data. In the case of remote sensing instruments like Doppler weather radar the challenges such instruments face in terms of connecting them to high-bandwidth networks is the fact that they have to be placed outside the lab at locations that are well suited for their sensing tasks, which are often not close to high-bandwidth networking infrastructure. For example, a radar is ideally placed at a location that is free of any obstructions such that it can scan the atmosphere with as little interference as possible.The overarching goal of this project is to improve research that focuses on remote sensing by providing researchers the ability to transmit high-bandwidth time-series or spectral data, and analog signals via radio over fiber, in real time from sensors to remote storage and computing. The project improves connectivity from an on-campus tower hosting radar and other atmospheric sensors to the UMass Amherst computer network. A fiber connection is established between the tower and the main campus network with local storage capacity increases to 8 TB at the tower. This integration permits several new modes of real time data analysis for weather system research and allows for both more data to be captured and for more timely access to data.Improving atmospheric observations has significant impacts on weather modeling in general and weather warning and prediction in particular. Thus this project has the potential to support applications that increase the safety and security of US communities and the nation as a whole. In addition, this campus network infrastructure opens new opportunities for students. For example, students can obtain live analog or high-bandwidth time series radar data to experiment with.

科学仪器可以产生大量的数据。除了捕获和存储数据外，让全球研究界快速访问这些数据也很重要。就像多普勒天气雷达这样的遥感仪器而言，这些仪器在将其连接到高带宽网络方面面临的挑战是，它们必须放置在实验室之外非常适合其传感任务的位置，而这些位置通常不靠近高带宽网络基础设施。例如，雷达最好放置在没有任何障碍物的位置，这样它就可以在尽可能少的干扰下扫描大气层。该项目的总体目标是通过向研究人员提供通过光纤无线电传输高带宽时间序列或光谱数据以及模拟信号的能力，从传感器到远程存储和计算的真实的时间。该项目改善了从校园塔托管雷达和其他大气传感器到马萨诸塞大学阿默斯特分校计算机网络的连接。在塔和主园区网络之间建立光纤连接，塔的本地存储容量增加到8 TB。这种集成允许用于天气系统研究的几种新的真实的时间数据分析模式，并允许捕获更多的数据和更及时地访问数据。因此，该项目有可能支持提高美国社区和整个国家安全的应用程序。此外，这种校园网络基础设施为学生提供了新的机会。例如，学生可以获得实时模拟或高带宽时间序列雷达数据进行实验。