Abstract

A fixed-wing unmanned aerial vehicle “Tsimlyanin” having a hybrid vertical take-off and landing (VTOL) scheme with a compact meteorological payload is designed for an application to the atmospheric boundary layer (ABL) studies. The main purpose of such an observational platform is to supplement traditional mast observations by sampling horizontal and vertical inhomogeneities of mean variables and turbulent statistics. Such observations are needed to advance turbulence theory especially for the ABL over inhomogeneous landscapes and also in non-stationary conditions. The VTOL scheme is chosen as it provides a safer take-off and landing and is less demanding to the landing conditions. The designed turbulence payload consists of a seven-hole probe, inertial navigation system and a fast-response platinum-wire temperature sensor. It is complemented with the static pressure sensor, a slow-response temperature and humidity sensor and an infrared surface temperature sensor. The data acquisition and logging is performed by an on-board computer. The designed system has been successfully tested in the summer campaign in 2020 in Tsimlyansk, Russia.

Details

Title
Unmanned aerial vehicle “Tsimlyanin” for studying turbulent structure of atmospheric boundary layer
Author
Chechin, D G 1 ; A Yu Artamonov 1 ; N YE Bodunkov 2 ; M Yu Kalyagin 2 ; Kunashuk, A A 2 ; Shestakova, A A 1 ; Shevchenko, A M 3 ; Zhivoglotov, D N 4 

 Obukhov Institute of Atmospheric Physics of the Russian Academy of Sciences , 119017, Pyzevsky per., 3, Moscow , Russian Federation 
 Moscow Aviation Institute (National Research University) , 4 Volokolamskoye Shosse, 125993, Moscow , Russian Federation 
 Khristianovich Institute of Theoretical and Applied Mechanics of the Siberian Branch of the Russian Academy of Sciences , 4/1 Institutskaya Street, 630090, Novosibirsk , Russian Federation 
 Central Aerological Observatory , Ulitsa Pervomayskaya, 3, 141700, Dolgoprudny, Moscow Oblast , Russian Federation 
First page
012020
Publication year
2022
Publication date
Jun 2022
Publisher
IOP Publishing
ISSN
17551307
e-ISSN
17551315
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2680624864
Copyright
Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.