EarthCube Building Blocks: Collaborative Proposal: An Expanded Implementation of Cloud-Hosted Real-Time Data Services for the Geosciences (CHORDS)
EarthCube 构建模块:协作提案:地球科学云托管实时数据服务 (CHORDS) 的扩展实施
基本信息
- 批准号:1639640
- 负责人:
- 金额:$ 22.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2020-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
While advances in sensing, hardware and wireless communications are permitting for previously unmeasured phenomena to be observed across unprecedented scales, it is the ability to act on these data that promises to transform modern geoscientific experimentation. The importance of real-time scientific data (data that are used as soon as they are collected) is ever increasing, particularly in mission critical scenarios, where informed decisions must be made rapidly. Many of the phenomenon occurring within the geosciences can benefit from better coverage of real-time data. Geosciences phenomenon range from hurricanes and severe weather, to earthquakes, volcano eruptions and floods and real-time data are essential to understand these phenomena and predict their impacts. The National Science Foundation funds many small teams of researchers that reside at Universities whose measurements can be of benefit to a better understanding of these phenomenon in order to ultimately improve forecasts and predictions. This is where Cloud-Hosted Real-time Data Services for the Geosciences, or CHORDS, fits in.CHORDS makes it simple for small research teams to make their real-time data available to the research community in standard formats. By following a few simple steps, a CHORDS ?portal? can be created for a research team and their data can be streamed into it very easily. CHORDS can also be used to access data from large NSF research platforms like radars, aircraft, ships and operational networks of sophisticated instrumentation. Once these data are ingested by a CHORDS portal, they are exposed in standard formats and are available to complex scientific tools such as prediction models and other analysis or decision-support systems. Since the CHORDS concept will be exposed to small research teams at Universities, this will allow college students to learn about the importance of real-time data and how to incorporate these data into their analysis. By having more and higher quality measurements available thorough CHORDS, models and other tools can make more accurate forecasts and provide better-informed decisions to mitigate the impacts and improve the understanding of these phenomenon.
虽然传感、硬件和无线通信的进步使人们能够在前所未有的范围内观察到以前无法测量的现象,但正是对这些数据采取行动的能力有望改变现代地球科学实验。实时科学数据(一收集就使用的数据)的重要性与日俱增,特别是在任务关键情况下,必须迅速做出明智的决定。地球科学中发生的许多现象可以受益于对实时数据的更好覆盖。地球科学现象的范围从飓风和恶劣天气,到地震、火山喷发和洪水,实时数据对于了解这些现象和预测其影响至关重要。国家科学基金会资助了许多居住在大学的小型研究人员团队,他们的测量有助于更好地了解这些现象,以便最终改进预测和预测。这就是云托管的地球科学实时数据服务(CHORDS)的用武之地。CHORDS使小型研究团队能够轻松地将其实时数据以标准格式提供给研究社区。只要遵循几个简单的步骤,和弦?门户?可以为研究团队创建,他们的数据可以非常容易地流入其中。Chord还可以用于访问来自大型NSF研究平台的数据,如雷达、飞机、船舶和复杂仪器的操作网络。一旦这些数据被和弦门户接收,它们就以标准格式公开,并可用于复杂的科学工具,如预测模型和其他分析或决策支持系统。由于和弦的概念将向大学的小型研究团队开放,这将使大学生了解实时数据的重要性,以及如何将这些数据纳入他们的分析。通过提供更多和更高质量的测量,全面的和弦、模型和其他工具可以做出更准确的预测,并提供更知情的决定,以减轻影响和提高对这些现象的理解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Branko Kerkez其他文献
Generating interpretable rainfall-runoff models automatically from data
从数据中自动生成可解释的降雨径流模型
- DOI:
10.1016/j.advwatres.2024.104796 - 发表时间:
2024-11-01 - 期刊:
- 影响因子:4.200
- 作者:
Travis Adrian Dantzer;Branko Kerkez - 通讯作者:
Branko Kerkez
Detroit River phosphorus loads: Anatomy of a binational watershed
- DOI:
10.1016/j.jglr.2019.09.008 - 发表时间:
2019-12-01 - 期刊:
- 影响因子:
- 作者:
Donald Scavia;Serghei A. Bocaniov;Awoke Dagnew;Yao Hu;Branko Kerkez;Colleen M. Long;Rebecca L. Muenich;Jennifer Read;Lynn Vaccaro;Yu-Chen Wang - 通讯作者:
Yu-Chen Wang
Are all data useful? Inferring causality to predict flows across sewer and drainage systems using directed information and boosted regression trees
- DOI:
10.1016/j.watres.2018.09.009 - 发表时间:
2018-11-15 - 期刊:
- 影响因子:
- 作者:
Yao Hu;Donald Scavia;Branko Kerkez - 通讯作者:
Branko Kerkez
<em>Teamwork without talking:</em> distributed system estimates maintain approximately centralized control of smart urban drainage systems during communications outages
- DOI:
10.1016/j.wroa.2024.100287 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Travis Adrian Dantzer;Branko Kerkez - 通讯作者:
Branko Kerkez
An automated toolchain for the data-driven and dynamical modeling of combined sewer systems
- DOI:
10.1016/j.watres.2017.08.065 - 发表时间:
2017-12-01 - 期刊:
- 影响因子:
- 作者:
Sara C. Troutman;Nathaniel Schambach;Nancy G. Love;Branko Kerkez - 通讯作者:
Branko Kerkez
Branko Kerkez的其他文献
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{{ truncateString('Branko Kerkez', 18)}}的其他基金
CIVIC-PG Track A: Smart Watersheds for Conservation and Resilience
CIVIC-PG 轨道 A:保护和恢复力的智能流域
- 批准号:
2228343 - 财政年份:2022
- 资助金额:
$ 22.8万 - 项目类别:
Standard Grant
Collaborative Research: Reimagining Urban Watershed Management: A Systems Approach to Stormwater Control and Ecological Rehabilitation
合作研究:重新构想城市流域管理:雨水控制和生态恢复的系统方法
- 批准号:
2204893 - 财政年份:2022
- 资助金额:
$ 22.8万 - 项目类别:
Standard Grant
CAREER: Toward a theory for smart stormwater systems
职业:智能雨水系统理论
- 批准号:
1750744 - 财政年份:2018
- 资助金额:
$ 22.8万 - 项目类别:
Continuing Grant
EAGER: I-Corps: Smart Water Systems
EAGER:I-Corps:智能供水系统
- 批准号:
1851362 - 财政年份:2018
- 资助金额:
$ 22.8万 - 项目类别:
Standard Grant
SCC-IRG Track 1: Overcoming Social and Technical Barriers for the Broad Adoption of Smart Stormwater Systems
SCC-IRG 第 1 轨道:克服社会和技术障碍,广泛采用智能雨水系统
- 批准号:
1737432 - 财政年份:2017
- 资助金额:
$ 22.8万 - 项目类别:
Standard Grant
EarthCube Building Blocks: Collaborative Proposal: Cloud-Hosted Real-time Data Services for the Geosciences (CHORDS)
EarthCube 构建模块:协作提案:地球科学云托管实时数据服务 (CHORDS)
- 批准号:
1440116 - 财政年份:2014
- 资助金额:
$ 22.8万 - 项目类别:
Standard Grant
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