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: University of Illinois at Urbana-Champaign
• 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
• 起止时间: 2021-08-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2113207&HistoricalAwards=false
• 关键词: CIF; Community; Instruments; Facilities; Mobile

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.

这个社区仪器和设施（CIF）奖是支持伊利诺伊大学的移动的和快速部署的多普勒在车轮上（道斯），快速扫描DOW和C波段在车轮上（COW）雷达网络，统称为DOWNET。雷达网络将提供可定制的，灵活的和有针对性的各种类型的天气观测，包括严重风暴，洪水事件，龙卷风，湖泊效应雪，火羽，地形降水，飓风和沿海冬季风暴。DOWNET将与下一代可视化和现场协调软件打包，供科学用户使用。DOWNET CIF奖项旨在提供基线水平的维护和操作支持，以使雷达系统可用于多样化的研究和教育社区。DOWNET系统将通过教育提案向教育机构，包括历史上的黑人学院和大学提供最先进的雷达。该奖项将提高地方和国家一级的公众气象意识和教育培训。 DOWNET将支持研究改进高影响天气事件的警报，这将减少天气灾害造成的生命和财产损失。 来自DOWNET的数据还可用于改进天气和气候模型中关键小尺度过程的表现。 参与当地和国家的外联活动和一个强大的教育计划，每年的奖项将扩大参与从多样化和服务不足的社区。 此外，该奖项将提高更广泛的科学界通过AGS设施申请程序使用雷达的能力。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。

项目成果

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