使用无人驾驶飞机平台的大气和海洋边界层剖面

M. Patterson, Drew Osbrink, D. Downer, J. Etro, A. Brescia, J. Cione
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引用次数: 4

摘要

正在研究利用无人驾驶飞行器收集大气和近海洋边界层数据的新技术。美国海军支持“郊狼”(Coyote)、声纳浮标发射无人机(UAV)和相关传感器套件的开发,这些传感器套件已经小型化并集成到平台中,以提供从发射高度到接近海平面的温度、大气压、湿度和风速。数据以世界气象组织(WMO)的标准格式收集。来自自动驾驶仪的遥测数据用于对数据进行地理校正,并提供近乎实时的真实三维大气条件剖面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Atmospheric and ocean boundary layer profiling with unmanned air platforms
New techniques are being investigated to gather atmospheric and near ocean boundary layer data using unmanned air vehicles. The US Navy has supported the development of the Coyote, sonobuoy launched unmanned air vehicle (UAV) and associated sensor suite that has been miniaturized and integrated into the platform to provide temperature, atmospheric pressure, humidity and wind speed from its launch altitude to near sea level. Data is collected in World Meteorological Organization (WMO) standard format. Telemetry from the autopilot is used to georectify the data and provides true three dimensional profiles of atmospheric conditions in near-real time.
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