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.

该社区工具和设施（CIF）奖是为了支持伊利诺伊大学的手机和快速在车轮上可部署的多普勒（DOWS），Rapid-Scan Dow和C-Band在车轮（COW）雷达网络上，共同称为倒数。雷达网络将对各种天气提供可定制，灵活和有针对性的观察，包括严重的风暴，洪水事件，龙卷风，湖泊降雪，火羽，地形降水，飓风和沿海冬季风暴。 Downet将包装为科学用户社区的下一代可视化和现场协调软件。 Downet CIF奖是针对基线维护和运营支持水平，以使潜水员研究和教育社区的雷达系统可用。 Downet系统将通过教育建议为教育机构（包括历史悠久的黑人学院和大学）提供尖端的雷达。该奖项将在地方和国家一级增强公众的天气意识和教育培训。 Downet将支持研究以改善高影响天气事件的警告，这将减轻生命损失和财产危害天气危害。 Downet的数据也可用于改善天气和气候模型中关键小规模过程的表示。参加本地和国家的外展活动以及每年颁奖典礼的强大教育计划将扩大潜水员和服务不足的社区的参与。此外，该奖项将增强更广泛的科学界通过AGS设施请求流程使用雷达的能力。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响评估标准，被认为是珍贵的支持。

项目成果

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

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