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2018 Unidata Users Workshop Reducing Time to Science: Evolving Workflows for Geoscience Research and Education; Boulder, Colorado; June 25-28, 2018

2018 Unidata Users Workshop Reducing Time to Science: Evolving Workflows for Geoscience Research and Education; Boulder, Colorado; June 25-28, 2018
2018 Unidata 用户研讨会减少科学时间:不断发展的地球科学研究和教育工作流程;
批准号:
1822272
负责人:
Mohan Ramamurthy
金额:
$9.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-05-15 至 2023-10-31

项目摘要

项目成果

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中文摘要
翻译
这笔拨款支持大学大气研究公司的Unidata项目中心于2018年6月25日至6月28日举行四次研讨会。研讨会将为研究人员、教师和学生提供讲座和实践培训,让他们了解如何使用Unidata的软件工具。它将结合信息技术来解决定位、检索、处理、分析和管理大量地球科学数据的挑战。该研讨会将使社区用户了解最新的新技术和软件,以协助数据驱动的科学。预计将有大约85人参加。该奖项反映了美国国家科学基金会的法定使命,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
This grant supports the University Corporation for Atmospheric Research's Unidata Program Center to conduct a four workshop beginning June 25 - June 28, 2018. The workshop will provide lectures and hands-on training to researchers, faculty, and students on how to utilize Unidata's software tools. It will incorporate information technology to address the challenges of locating, retrieving, processing, analyzing, and managing large volumes of geoscience data. The workshop will keep community users current on new technologies and software to assist with data-driven science. It is expected that approximately 85 people will attend.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(1)
专著(0)
科研奖励(0)
会议论文
Data-Driven Scientific Workflows: A Summary of New Technologies and Datasets Explored at the Unidata 2018 Workshop
数据驱动的科学工作流程:Unidata 2018 研讨会上探讨的新技术和数据集摘要
DOI: 10.1175/bams-d-18-0265.1
发表时间: 2019
期刊: Bulletin of the American Meteorological Society
影响因子: 8
作者: [Goebbert, Kevin H., Allen, John T., Gensini, Victor A., Ramamurthy, Mohan]
通讯作者: Ramamurthy, Mohan
Unidata: Next-generation Data Services and Workflows to Advance Geoscience Research and Education
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
海外基金