Sampling Severe Local Storms and Related Phenomena: Using Unmanned Aircraft Systems
Sampling Severe Local Storms and Related Phenomena: Using Unmanned Aircraft Systems
复制标题
对当地严重风暴和相关现象进行采样：使用无人机系统
DOI：
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发表时间：
2012
影响因子：
5.7
通讯作者：
E. Rasmussen
中科院分区：
文献类型：
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作者：
E. Frew;Jack Elston;B. Argrow;A. Houston;E. Rasmussen
了解和预测地球环境在多个时空尺度上的动态行为仍然是一个突出的科学挑战。50多年来对遥感气象系统（卫星雷达和地基雷达）的投资和进步已经产生了显著的能力；然而，这些系统无法提供观测结果，以满足当前对时效性、定位精度和只能在现场获得的数据采集的要求。需要高度机动的观测系统来提供对当前模式和模拟的核查和确认至关重要的现场数据。这是工程领域的挑战科学发现的工具，是美国国家工程院提出的21世纪14大工程挑战之一。本文解决了设计和部署无人驾驶飞机系统（UASs）进行严重局部风暴采样的具体挑战。
Understanding and predicting the dynamic behavior of our planet's environment over multiple spatial and temporal scales remains an outstanding scientific challenge [1], [2]. More than 50 years of investment and advancements in remote weather-sensing systems (satellite-based as well as ground-based radar) have resulted in remarkable capabilities; however, these systems cannot deliver observations to meet current requirements for timeliness, positional precision, and the acquisition of data that can only be obtained in situ. Highly mobile observations systems are needed to deliver in situ data that are critical for the verification and validation of current models and simulations. This is the challenge in engineering the tools of scientific discovery, one of the 14 Engineering Grand Challenges of the 21st Century posed by the National Academy of Engineering [2]. This article addresses specific challenges in designing and deploying unmanned aircraft systems (UASs) for sampling severe local storms.