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

夜间雷暴伴强降雨对美国中部的生命和财产构成威胁，是一项困难的预报挑战。计划在2015年夏季开展实地活动，研究这些雷暴复合体是如何形成和维持自身的。该合同将通过提供无人驾驶飞机系统（UAS）平台的观测来增强该战役。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，该项目将通过教育和培训一名研究生和本科生以及其他一些学生参与实地工作，为科学劳动力的发展做出贡献。高架对流与强降水研究项目是一个正在进行的项目，其目标是描述负责创造有利于发展和维持有组织的高架深层对流的环境的过程。UAS观测结果将被纳入天气研究与预报模式，通过改善以下表现来实现项目目标：1)天气尺度锋上游的气团，2)天气尺度冷气团内部和上方的开尔文-亥姆霍兹巨浪和重力波等中尺度提升机制，以及3)冷空气中风暴产生的外流结构。参与该奖项的研究人员将率先评估UAS观测对模型预测的影响，并测试目标观测的策略，以在预测技能方面取得最大的收益。

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.