Collaborative Research: RAPID--Integration of Unmanned Aircraft System (UAS) into the Program for Research on Elevated Convection with Intense Precipitation

合作研究：RAPID——将无人机系统（UAS）集成到强降水高对流研究计划中

• 批准号: 1542733
• 负责人: Eric Frew
• 金额: $ 5.46万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1542733&HistoricalAwards=false
• 关键词: Collaborative; Research; RAPID; Integration; Unmanned

Nighttime thunderstorms with heavy rainfall pose a threat to lives and property in the central United States and are a difficult forecasting challenge. A field campaign is planned during the summer of 2015 to study how these thunderstorm complexes form and maintain themselves. This award will augment that campaign by providing observations from an unmanned aircraft system (UAS) platform. The UASs will fly in targeted locations near a frontal boundary and in the vicinity of thunderstorms, making measurements that will be input into a computer model. The overall goal of the project is to improve understanding and forecasting of these hazardous events. In addition, the project will contribute to scientific workforce development through the education and training of a graduate and undergraduate student and the involvement of a number of other students in the field work.The Program for Research on Elevated Convection with Intense Precipitation is an ongoing project with a goal of characterizing the processes responsible for creating environments conducive to the development and maintenance of organized elevated deep convection. UAS observations will be assimilated into the Weather Research and Forecasting model to address the goals of the project by improving the representation of: 1) the airmass upstream of the synoptic scale front, 2) mesoscale lifting mechanisms such as Kelvin-Helmholtz billows and gravity waves within and above the synoptic-scale cold airmass, and 3) the structure of storm-generated outflow within the cold air. The researchers involved in this award will take the lead on assessing the impact of UAS observations on model forecasts and testing strategies for targeting observations to produce the largest gains in forecast skill.

夜间雷暴和强降雨对美国中部的生命和财产构成威胁，也是一项艰巨的预报挑战。 计划在 2015 年夏季开展一次实地考察，研究这些雷暴复合体如何形成和维持。 该奖项将通过提供无人机系统（UAS）平台的观测结果来增强这一活动。 无人机将在锋面边界附近和雷暴附近的目标位置飞行，进行测量并将其输入计算机模型。 该项目的总体目标是提高对这些危险事件的理解和预测。 此外，该项目还将通过研究生和本科生的教育和培训以及许多其他学生参与实地工作，为科学劳动力的发展做出贡献。强降水高对流研究计划是一个正在进行的项目目标是描述负责创造有利于有组织的高位深对流的发展和维持的环境的过程。 无人机观测将被纳入天气研究和预报模型，通过改进以下内容的表示来实现该项目的目标：1）天气尺度锋上游的气团，2）中尺度抬升机制，例如开尔文-亥姆霍兹巨浪和重力波天气尺度冷气团内部和之上，以及 3) 冷空气内风暴产生的流出结构。 参与该奖项的研究人员将带头评估无人机观测对模型预测的影响，并测试针对观测的策略，以最大程度地提高预测技能。