Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign
Intercomparison of Small Unmanned Aircraft System (sUAS) Measurements for Atmospheric Science during the LAPSE-RATE Campaign
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DOI：
10.3390/s19092179
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发表时间：
2019-05-01
期刊：
影响因子：
3.9
通讯作者：
de Boer, Gijs
中科院分区：
文献类型：
--
作者：
Barbieri, Lindsay;Kral, Stephan T.;de Boer, Gijs
小型无人机系统（sUAS）正在迅速改变大气研究。随着这些系统的开发和应用的进步，提高对准确测量最佳实践的了解对于实现科学目标至关重要。我们目前的结果从大气测量数据的相互比较，从低层大气过程研究在海拔-遥控飞机团队实验（LAPSE率）的实地活动。我们评估了总共38个人的sUAS与23个独特的传感器和平台配置使用气象塔的参考测量。我们评估精度，偏差和时间响应的sUAS测量温度，湿度，压力，风速和风向。大多数sUAS的测量结果与参考值基本一致，特别是温度和风速，所有sUAS的平均值差异分别为1.6 +/- 2.6摄氏度和0.22 +/- 0.59米/秒。发现sUAS平台和传感器配置对测量精度有显著贡献。传感器配置，其中包括适当的吸气和辐射屏蔽的传感器，被发现提供最准确的热力学测量（温度和相对湿度），而多转子平台上的声波风速计提供最准确的风测量（水平速度和方向）。我们贡献了sUAS测量大气参数的表征和评估，并确定了改进sUAS科学测量的重要挑战和机遇。
Small unmanned aircraft systems (sUAS) are rapidly transforming atmospheric research. With the advancement of the development and application of these systems, improving knowledge of best practices for accurate measurement is critical for achieving scientific goals. We present results from an intercomparison of atmospheric measurement data from the Lower Atmospheric Process Studies at Elevation-a Remotely piloted Aircraft Team Experiment (LAPSE-RATE) field campaign. We evaluate a total of 38 individual sUAS with 23 unique sensor and platform configurations using a meteorological tower for reference measurements. We assess precision, bias, and time response of sUAS measurements of temperature, humidity, pressure, wind speed, and wind direction. Most sUAS measurements show broad agreement with the reference, particularly temperature and wind speed, with mean value differences of 1.6 +/- 2.6 degrees C and 0.22 +/- 0.59 m/s for all sUAS, respectively. sUAS platform and sensor configurations were found to contribute significantly to measurement accuracy. Sensor configurations, which included proper aspiration and radiation shielding of sensors, were found to provide the most accurate thermodynamic measurements (temperature and relative humidity), whereas sonic anemometers on multirotor platforms provided the most accurate wind measurements (horizontal speed and direction). We contribute both a characterization and assessment of sUAS for measuring atmospheric parameters, and identify important challenges and opportunities for improving scientific measurements with sUAS.