G. Boer, Brian J. Butterworth, Jack S. Elston, Adam Houston, Elizabeth A. Pillar-Little, B. Argrow, Tyler M. Bell, Phillip Chilson, Christopher Choate, B. R. Greene, Ashraful Islam, Ryan Martz, Michael Rhodes, Daniel Rico, M. Stachura, Francesca M. Lappin, Antonio R. Segales, Seabrooke Whyte, Matthew Wilson
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引用次数: 0
摘要
小型无人驾驶飞行器系统(sUAS)经常被用来进行大气研究,并开始通过数据同化作为为天气模式提供信息的数据源。然而,目前只有数量有限的研究对这些系统的性能进行了评估,并评估了它们复制无线电探空仪和塔等传统传感器测量结果的能力。在目前的工作中,我们利用在俄克拉荷马州中部收集的为期两周的数据,深入分析了五种不同的 sUAS 平台和相关传感器在测量关键天气数据方面的性能。这些数据来自三个旋转翼和两个固定翼无人机系统,包括两个商用系统和三个大学开发的研究系统。飞行数据与在飞行地点发射的常规无线电探空仪、塔台观测数据进行了比较,并与其他无人机系统平台的数据进行了相互比较。结果表明,所有平台都能以合理的精度测量大气状态,但也发现个别平台存在一些一致的偏差。这些信息可为今后使用这些平台进行研究提供参考,目前正用于提供估计误差协方差,以支持将无人机系统数据同化到天气预报系统中。
Evaluation and Intercomparison of Small Uncrewed Aircraft Systems Used for Atmospheric Research
Small uncrewed aircraft systems (sUAS) are regularly being used to conduct atmospheric research and are starting to be used as a data source for informing weather models through data assimilation. However, only a limited number of studies have been conducted to evaluate the performance of these systems and assess their ability to replicate measurements from more traditional sensors such as radiosondes and towers. In the current work, we use data collected in central Oklahoma over a 2-week period to offer insight into the performance of five different sUAS platforms and associated sensors in measuring key weather data. This includes data from three rotary-wing and two fixed-wing sUAS and included two commercially-available systems and three university-developed research systems. Flight data were compared to regular radiosondes launched at the flight location, tower observations, and intercompared with data from other sUAS platforms. All platforms were shown to measure atmospheric state with reasonable accuracy, though there were some consistent biases detected for individual platforms. This information can be used to inform future studies using these platforms and is currently being used to provide estimated error covariances as required in support of assimilation of sUAS data into weather forecasting systems.
期刊介绍:
The Journal of Atmospheric and Oceanic Technology (JTECH) publishes research describing instrumentation and methods used in atmospheric and oceanic research, including remote sensing instruments; measurements, validation, and data analysis techniques from satellites, aircraft, balloons, and surface-based platforms; in situ instruments, measurements, and methods for data acquisition, analysis, and interpretation and assimilation in numerical models; and information systems and algorithms.