Inoue Jun, Sato Kazutoshi
National Institute of Polar Research, 10-3, Midori-cho, Tachikawa, Tokyo, 190-8518, Japan; The Graduate University for Advanced Studies, SOKENDAI, 10-3, Midori-cho, Tachikawa, Tokyo, 190-8518, Japan.
Kitami Institute of Technology, 165 Koen-cho, Kitami, Hokkaido, 090-8507, Japan.
Environ Res. 2022 Apr 1;205:112468. doi: 10.1016/j.envres.2021.112468. Epub 2021 Dec 2.
This study assessed the possibility of producing profiles of atmospheric parameters, including aerosol number concentration, using observations obtained by a conventional low-cost small rotary-wing Unmanned Aircraft Systems (UAS). A radiation shield for the meteorological sensor was developed to reduce the effects from heat exhaust from both the rotors and the body of the UAS and from solar radiation. Field experiments in northern Japan during winter confirmed that the continuous UAS-derived meteorological data obtained in the lower boundary layer were of quality equivalent to that of radiosonde observations in a cold environment (<- 20 °C), that is, better than other meteorological rotary-wing UASs. The continuous profiling of aerosols also demonstrated the capability for monitoring air quality below a very strong inversion layer during winter. Quality-controlled UAS meteorological profiles would be a potential observation data source for skillful numerical weather prediction, particularly in data-sparse regions such as the Arctic and Antarctic, contributing to the sustainable polar observing network.
本研究评估了利用传统低成本小型旋翼无人机系统(UAS)获得的观测数据生成包括气溶胶数浓度在内的大气参数剖面的可能性。开发了一种用于气象传感器的辐射屏蔽装置,以减少来自无人机旋翼和机身的热排放以及太阳辐射的影响。冬季在日本北部进行的实地实验证实,在下边界层获得的连续无人机衍生气象数据的质量与寒冷环境(<-20°C)中探空仪观测数据的质量相当,即优于其他气象旋翼无人机系统。气溶胶的连续剖面分析还证明了在冬季监测非常强的逆温层以下空气质量的能力。经过质量控制的无人机气象剖面将成为精确数值天气预报的潜在观测数据源,特别是在北极和南极等数据稀少的地区,有助于可持续极地观测网络的建设。