课题基金 / 基金详情

CIF: Community Instruments and Facilities: Mobile and Quickly Deployable Radars

CIF: Community Instruments and Facilities: Mobile and Quickly Deployable Radars
CIF:社区仪器和设施:移动和快速部署雷达
批准号:
2113207
负责人:
Karen Kosiba
金额:
$74.72万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-15 至 2024-07-31

项目摘要

项目成果

Karen Kosiba的其他基金

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中文摘要
翻译
这份社区仪器和设施(CIF)合同是为了支持伊利诺伊大学的移动和快速部署多普勒轮上(DOWs)、快速扫描DOW和c波段轮上(COW)雷达网络,统称为DOWNET。该雷达网络将提供可定制的、灵活的和有针对性的各种天气观测,包括强风暴、洪水事件、龙卷风、湖效应降雪、火羽、地形降水、飓风和沿海冬季风暴。DOWNET将打包为科学用户社区提供下一代可视化和现场协调软件。该合同将提供基线水平的维护和操作支持,使雷达系统可用于各种研究和教育社区。DOWNET系统将通过教育提案向黑人大学等教育机构提供尖端雷达。该奖项将提高公众的天气意识,并在地方和国家层面进行教育培训。downnet将支持改善高影响天气事件预警的研究,这将减轻天气灾害造成的生命和财产损失。来自downnet的数据还可用于改善天气和气候模式中关键小尺度过程的表示。参与当地和全国的推广活动,以及每年的一个强有力的教育计划,将扩大不同和服务不足社区的参与。此外,该合同还将通过AGS设施申请流程增强更广泛的科学界使用雷达的能力。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 Community Instruments and Facilities (CIF) award is for support of the University of Illinois’s mobile and quickly deployable Doppler on Wheels (DOWs), Rapid-Scan DOW, and C-band on Wheels (COW) radar network, collectively termed as the DOWNET. The radar network will provide customizable, flexible, and targeted observations of various types of weather, including severe storms, flooding events, tornadoes, lake-effect snow, fire plumes, orographic precipitation, hurricanes, and coastal winter storms. The DOWNET will be packaged with next generation visualization and field coordination software for the scientific user community. The DOWNET CIF award is for a baseline level of maintenance and operations support to make the radar systems available to a diverse research and education community. The DOWNET system will provide cutting-edge radar to educational institutions, including Historically Black Colleges and Universities through educational proposals. The award will enhance public weather awareness and educational training at local and national levels. DOWNET will support research to improve warnings of high-impact weather events, which will mitigate loss of life and property to weather hazards. Data from DOWNET can also be used to improve representation of critical small-scale processes in weather and climate models. Participation in local and national outreach events and a robust educational program each year of the award will broaden participation from diverse and underserved communities. Additionally, this award will enhance the ability of the broader scientific community to use the radars through the AGS facility request process.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(2)
专著(0)
科研奖励(0)
会议论文
Toward a Better Understanding of Wildfire Behavior in the Wildland‐Urban Interface: A Case Study of the 2021 Marshall Fire
更好地了解荒地中的野火行为——城市界面:以 2021 年马歇尔火灾为例
DOI: 10.1029/2022gl101557
发表时间: 2023
期刊: Geophysical Research Letters
影响因子: 5.2
作者: [Juliano, Timothy W., Lareau, Neil, Frediani, Maria E., Shamsaei, Kasra, Eghdami, Masih, Kosiba, Karen, Wurman, Joshua, DeCastro, Amy, Kosović, Branko, Ebrahimian, Hamed]
通讯作者: Ebrahimian, Hamed
P-type Processes and Predictability: The Winter Precipitation Type Research Multiscale Experiment (WINTRE-MIX)
P 型过程和可预测性:冬季降水类型研究多尺度实验 (WINTRE-MIX)
DOI: 10.1175/bams-d-22-0095.1
发表时间: 2023
期刊: Bulletin of the American Meteorological Society
影响因子: 8
作者: [Minder, Justin R., Bassill, Nick, Fabry, Frédéric, French, Jeffrey R., Friedrich, Katja, Gultepe, Ismail, Gyakum, John, Kingsmill, David E., Kosiba, Karen, Lachapelle, Mathieu]
通讯作者: Lachapelle, Mathieu
AGS FIRP Track 2: Boundary-layer Evolution and Structure of Tornadoes (BEST)
RAPID: Dual-Doppler Analysis of the Boundary Layer in Category-4 Hurricane Laura
RAPID: Collection and Analysis of Data in Major Landfalling Hurricanes (2017)
Collaborative Research: An Integrated Understanding of the Initiation and Subsequent Dynamical and Microphysical Characteristics of Deep Convective Storms during RELAMPAGO
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