课题基金 / 基金详情

Unidata: Next-generation Data Services and Workflows to Advance Geoscience Research and Education

Unidata: Next-generation Data Services and Workflows to Advance Geoscience Research and Education
Unidata:推动地球科学研究和教育的下一代数据服务和工作流程
批准号:
1901712
负责人:
Mohan Ramamurthy
金额:
$2150.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-05-01 至 2024-10-31

项目摘要

项目成果

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中文摘要
翻译
Unidata是一个大气和相关科学的社区数据设施,由美国大学在国家科学基金会的赞助下于1984年建立。 Unidata的目标是通过提供良好集成的数据服务和工具来帮助改变大气和相关科学的研究和教育行为,这些服务和工具可以解决整个科学数据生命周期,从定位和检索有用的数据,通过本地或远程分析和可视化数据的过程,到管理和共享结果。 Unidata为全球5000多家依赖Unidata技术的教育、政府和研究机构提供服务。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。
英文摘要
Unidata is a community data facility for the atmospheric and related sciences, established in 1984 by U.S. universities with sponsorship from the National Science Foundation. Unidata's goal is to help transform the conduct of research and education in the atmospheric and related sciences by providing well integrated data services and tools that address the entire scientific data lifecycle, from locating and retrieving useful data, through the process of analyzing and visualizing data either locally or remotely, to curating and sharing the results. Unidata serves more than five thousand of educational, government, and research institutions that rely on Unidata technologies worldwide.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.
期刊论文(4)
专著(0)
科研奖励(0)
会议论文
Introducing Students to Scientific Python for Atmospheric Science
向学生介绍用于大气科学的科学 Python
DOI: 10.1175/bams-d-20-0069.1
发表时间: 2020
期刊: Bulletin of the American Meteorological Society
影响因子: 8
作者: [Arms, Sean, Chastang, Julien, Grover, Maxwell, Thielen, Jon, Wilson, Matthew, Dirks, Douglas]
通讯作者: Dirks, Douglas
Data Interoperability Between Elements of the Global Ocean Observing System
全球海洋观测系统各要素之间的数据互操作性
DOI: 10.3389/fmars.2019.00442
发表时间: 2019
期刊: Frontiers in Marine Science
影响因子: 3.7
作者: [Snowden, Derrick, Tsontos, Vardis M., Handegard, Nils Olav, Zarate, Marcos, O’ Brien, Kevin, Casey, Kenneth S., Smith, Neville, Sagen, Helge, Bailey, Kathleen, Lewis, Mirtha N.]
通讯作者: Lewis, Mirtha N.
DOI: 10.1007/s10586-021-03519-6
发表时间: 2022-02
期刊: Cluster Computing
影响因子: --
作者: [Yuanlong Tan;M. Veeraraghavan;Hwajung Lee;S. Emmerson;J. Davidson]
通讯作者: Yuanlong Tan;M. Veeraraghavan;Hwajung Lee;S. Emmerson;J. Davidson
The Experimental Warning Program of NOAA’s Hazardous Weather Testbed
NOAA 危险天气试验台的实验预警计划
DOI: 10.1175/bams-d-21-0017.1
发表时间: 2021
期刊: Bulletin of the American Meteorological Society
影响因子: 8
作者: [Meyer, Tiffany, Krocak, Makenzie J., Smith, Travis M., Stumpf, Greg, Gerard, Alan]
通讯作者: Gerard, Alan
2018 Unidata Users Workshop Reducing Time to Science: Evolving Workflows for Geoscience Research and Education; Boulder, Colorado; June 25-28, 2018
Workshop: Modeling Research in the Cloud; Boulder Colorado; Spring 2017
EarthCube Science Support Office (ESSO)
Collaborative Research: SI2-SSI: Big Weather Web: A Common and Sustainable Big Data Infrastructure in Support of Weather Prediction Research and Education in Universities
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