RII Track-2 FEC: Unmanned Aircraft System for Atmospheric Physics

该研究基础设施改善Track-2重点EPSCoR*合作（RII Track-2 FEC）涉及来自三个司法管辖区的研究人员：俄克拉荷马州（OK），内布拉斯加州（NE）和肯塔基州（KY）。研究小组将利用小型无人机载系统（UAS）研究大气物理。该项目由俄克拉荷马州立大学牵头，与俄克拉荷马州立大学、内布拉斯加州大学和肯塔基大学合作。跨学科项目团队包括机器人、自主控制、无人驾驶飞机系统、大气物理和数值天气预报方面的专家。教育、外联和劳动力发展活动包括有关无人驾驶系统技术及其政策影响的公众教育、有关无人驾驶系统技术在当地具体应用的教育讲习班，以及用于沟通和应对恶劣天气威胁和灾害的快速传播工具。该项目将支持这三个司法管辖区早期职业教师之间的跨学科合作。技术描述：这个ii轨道2 FEC合作研究团队将开发和测试易于部署的基于无人机的遥感系统，以表征地球？S低层大气边界层。研究课题包括气象对流、风暴尺度的微物理、土壤水文的航空遥感、环境现象的次声遥感以及局地尺度的时空气候变化。研究小组还将研究无人机编队的协同控制、来自移动传感器平台的空间分布式数据以及异构自主系统。该项目的预期成果包括适用于测量风、大气化学、土壤湿度和热力学参数的完整UAS系统包。*刺激竞争性研究的实验计划

Non-technical descriptionThis Research Infrastructure Improvement Track-2 Focused EPSCoR* Collaboration (RII Track-2 FEC) involves researchers from three jurisdictions: Oklahoma (OK), Nebraska (NE), and Kentucky (KY). The research team will study atmospheric physics using small unmanned airborne systems (UAS). Oklahoma State University, the project lead, is collaborating with the University of Oklahoma, the University of Nebraska, and the University of Kentucky. The interdisciplinary project team includes researchers with expertise in robotics, autonomous control, unmanned aircraft systems, atmospheric physics, and numerical weather prediction. Education, outreach, and workforce development activities include public education about UAS technology and its policy implications, educational workshops on locally specific applications of UAS technology, and rapid dissemination tools for communicating and responding to severe weather threats and hazards. The project will support interdisciplinary collaborations among early career faculty in the three jurisdictions. Technical descriptionThis RII Track-2 FEC collaborative research team will develop and test easily-deployable UAS-based remote sensing systems to characterize the Earth?s lower atmospheric boundary layer. Research topics include meteorological convection, storm-scale microphysics, airborne sensing of soil hydrology, infrasonic sensing of environmental phenomena, and local-scale temporal and spatial climate variation. The research team will also investigate cooperative control of UAS formations, spatially distributed data from moving sensor platforms, and heterogeneous autonomous systems. Expected outcomes from this project include complete UAS system packages suitable for measuring wind, atmospheric chemistry, soil moisture, and thermodynamic parameters. *Experimental Program to Stimulate Competitive Research