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.

大雨的夜间雷暴对美国中部的生命和财产构成威胁，这是一个艰难的预测挑战。 计划在2015年夏季进行野外运动，以研究这些雷暴络合物如何形成并保持自己。 该奖项将通过提供无人飞机系统（UAS）平台的观察结果来增强该活动。 UASS将在额叶边界附近和雷暴附近的目标位置飞行，进行测量，将输入计算机模型。 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，该项目将通过对研究生和本科生的教育和培训以及其他许多学生参与现场工作的教育和培训为科学劳动力的发展做出贡献。对对流的研究计划与激烈的降水有关，这是一个持续的项目，其目的是持续的项目，其目的是表征负责创造有组织的深入发展和维持有组织的高架升高的过程。 UAS的观察将被吸收到天气研究和预测模型中，以改善：1）概要尺度前沿的空气质量的代表，2）2）中尺度提升机制，例如kelvin-helmhelmhlmhhelmhhelmhlmhz billrows和诸如Synopicles of Synoptiles synoptiles colders coldermass和3）的潮流，以及3）。 涉及该奖项的研究人员将有牵头评估UAS观察对模型预测的影响，并测试策略，以定位观察结果，以产生预测技能的最大收益。