Chang Yue, Chen Hongbin, Shi Hongrong, et al. Comparison of atmospheric temperature and humidity sounding by different sensors onboard a new composite wing UAV. J Appl Meteor Sci, 2023, 34(1): 78-90. DOI:  10.11898/1001-7313.20230107.
Citation: Chang Yue, Chen Hongbin, Shi Hongrong, et al. Comparison of atmospheric temperature and humidity sounding by different sensors onboard a new composite wing UAV. J Appl Meteor Sci, 2023, 34(1): 78-90. DOI:  10.11898/1001-7313.20230107.

Comparison of Atmospheric Temperature and Humidity Sounding by Different Sensors Onboard a New Composite Wing UAV

DOI: 10.11898/1001-7313.20230107
  • Received Date: 2022-08-08
  • Rev Recd Date: 2022-11-08
  • Publish Date: 2023-01-31
  • Satellite navigation-based autonomous drones have become an important platform for atmospheric exploration. In order to overcome the harsh take-off and landing conditions of fixed-wing UAVs and the short flight time of rotorcraft, a new composite wing UAV with rotary and fixed-wing has been developed by Middle Atmosphere and Global Environment Exploration Laboratory of Institute of Atmospheric Physics, Chinese Academy of Sciences. Two field experiments of UAV soundings are carried out in Zhengxiangbaiqi, Inner Mongolia from 28 July to 6 August in 2020 and from 1 August to 6 August in 2021 to examine the performance of sounding sensors onboard the new type of UAV. The instruments used and the experiments conducted in the two phases of the experiment are introduced first, and then the temperature and relative humidity profile data obtained by different sensors onboard the UAV are compared and analyzed. The results show that the temperature bias between the AWS and the GPS radiosonde onboard UAV is about 2.00 to 2.35℃; the systematic deviation can be revised, and the correlation coefficient is 0.98. The deviation of relative humidity is 4.28% and the correlation coefficient is 0.84 in 2020. The Vaisala temperature and humidity probe are onboard the UAV in the experiment of 2021, which are in good agreement with GPS radiosonde, but the AWS is vastly different from both. The flight sounding test shows that the long-endurance composite wing UAV with rotary and fixed-wing can obtain meteorological information in the near-surface atmosphere because of its larger vertical and horizontal range than the conventional rotary-wing UAV. The AWS onboard new composite wing UAV can obtain temperature and humidity profile information of the near-surface atmosphere, but the time lag effect caused by fast descent speed is obvious. Therefore, the sensor with obvious time lag effect is not suitable for the sounding of faster flight speed. The flight attitude change and turn of the UAV in the level flight process have no obvious effects on the measurements of temperature and humidity.
  • Fig. 1  Temperature, relative humidity, wind speed, and wind direction measured by ground-based GPS radiosonde on 2 Aug, 4 Aug, 5 Aug in 2020

    Fig. 2  Temperature(a) and relative humidity(b) measured along the flight trajectory UAV-borne AWS during 1010 BT-1114 BT on 2 Aug 2020

    Fig. 3  Time series of the UAV flight height, attitude angles as well as the measured temperature and relative humidity in the flight during 1010BT-1110BT on 2 Aug 2020

    Fig. 4  Time series of flight height, temperature and relative humidity measured by UAV-borne Vaisala temperature and humidity probe and GPS radiosonde on 1 Aug 2021

    Fig. 5  Scatter plots of the temperature measurements by UAV-borne sensors

    (a)AWS and GPS radiosonde on 2 Aug, 4 Aug, 5 Aug in 2020,(b)Vaisala temperature and humidity probe and GPS radiosonde on 1 Aug 2021, (c)AWS and GPS radiosonde on 3 Aug 2021, (d)AWS and Vaisala temperature and humidity probe on 5 Aug 2021

    Fig. 6  The same as in Fig. 6,but for relative humidity

    Fig. 7  Temperature and relative humidity once measured by UAV during the ascending and constant-altitude flights on 2 Aug 2020

    Fig. 8  Mean square error of air temperature(a) and relative humidity(b) measured by the UAV during the constant level flights on 2 Aug 2020

    Table  1  Specifications of temperature and humidity of 3 sensors

    仪器 气象要素 测量范围 误差范围 灵敏度
    Airmar 200WX 温度 -40~80℃ ±1.1℃(20℃条件下) 0.1℃
    相对湿度 0~100% ±5%(测量范围0~90%,在20℃条件下) 0.1%
    Vaisala HMP155 温度 -80~60℃ ±(0.176-0.0028×温度)℃(测量范围-80~20℃) 0.1℃
    相对湿度 0~100% ±1.7%(温度范围-20~40℃) 0.1%
    GPS探空仪 温度 -25~55℃ ±1℃ 0.1℃
    相对湿度 0~100% ±5% 0.1%
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    Table  2  Time and duration of UAV-borne AWS and GPS radiosonde

    试验序号 飞行时间 飞行时长 天气状况
    1 2020-08-02T10:10—11:14 64 min 晴,6级风
    2 2020-08-04T14:07—14:44 37 min 晴,5级风
    3 2020-08-05T08:29—09:25 56 min 雷阵雨前
    4 2021-08-01T14:21—14:56 35 min 阴转多云
    5 2021-08-03T11:26—12:28 62 min 阵雨后
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  • [1]
    Holland G L, McGeer T, Yougren H, et al.Autonomous aerosondes for economical atmospheric soundings anywhere on the globe.Bull Amer Meteor Soc, 1992, 73(12):1987-1998. doi:  10.1175/1520-0477(1992)073<1987:AAFEAS>2.0.CO;2
    [2]
    Ma S Q, Chen H B, Wang G, et, al. A miniature robotic plane meteorological sounding system. Adv Atmos Sci, 2004, 21(6): 890-896. doi:  10.1007/BF02915591
    [3]
    Reuder J, Brisset P, Jonassen M, et al. The small unmanned meteorological observer SUMO: A new tool for atmospheric boundary layer research. Meteorologische Zeitschrif, 2009, 18(2): 141-147. doi:  10.1127/0941-2948/2009/0363
    [4]
    Schmid B, Tomunson J M, Hubbe J M, et al. The DOE ARM aerial facility. Bull Amer Meteor Soc, 2014, 95(5): 723-742. doi:  10.1175/BAMS-D-13-00040.1
    [5]
    Guo Q, Tong Q X. Application of UAV in meteorological monitoring. Guangdong Meteor, 2016, 38(6): 64-66. doi:  10.3969/j.issn.1007-6190.2016.06.015
    [6]
    Mao W J. Application of UAV in meteorological service. Zhejiang Meteor, 2016, 37(4): 38-40. https://www.cnki.com.cn/Article/CJFDTOTAL-ZJQX201604008.htm
    [7]
    Shimura T. Estimation of wind vector profile using a hexarotor unmanned aerial vehicle and its application to meteorological observation up to 1000 m above surface. J Atmos Oceanic Technol, 2018, 35(8): 1621-1631. doi:  10.1175/JTECH-D-17-0186.1
    [8]
    Tao X Y, Huang J P, Xie X J, et al. Observational analysis of the influence of aerosol radiation effect on planetary boundary layer structure and entrainment characteristics. Atmos Sci, 2020, 44(6): 1213-1223.
    [9]
    Wang H B, Wu H, Li Y, et, al. Validation of rotorcraft UAV boundary layer meteorological observation data and its application in a heavy fog event in Yancheng. Meteor Mon, 2020, 46(1): 89-97.
    [10]
    Cassano J J. Observaations of atmospheric boundary layer temperature profiles with a small unmanned aerial vehicle. Antarctic Sci, 2014, 26(2): 205-213. doi:  10.1017/S0954102013000539
    [11]
    Shen H R. UAV Meteorological Observation Technology. Beijing: Tsinghua University Press, 2010.
    [12]
    Shi J, Jiang M, Yao W, et, al. Design of meteorological and environmental monitoring system based on micro multi rotor UAV. Meteor, Hydrol Marine Instrum, 2018, 35(1): 47-51. https://www.cnki.com.cn/Article/CJFDTOTAL-QXSW201801011.htm
    [13]
    Guo X L, Fu D H, Guo X, et al. Advances in aircraft measurements of clouds and precipitation in China. J Appl Meteor Sci, 2021, 32(6): 641-652. doi:  10.11898/1001-7313.20210601
    [14]
    Cheng P, Luo H, Chang Y, et al. Aircraft measurement of microphysical characteristics of a topgraphic cloud precipitation Qilian Mountains. J Appl Meteor Sci, 2021, 32(6): 691-705. doi:  10.11898/1001-7313.20210605
    [15]
    Ma X Q, Guo X L, Liu N, et al. Aircraft measurements on properties of aerosols over the central and eastern Qinghai-Tibet Plateau. J Appl Meteor Sci, 2021, 32(6): 706-719. doi:  10.11898/1001-7313.20210606
    [16]
    Liu C W, Guo X L, Duan W, et al. Observation and analysis of microphysical characteristics of stratiform clouds with embedded convections in Yunnan. J Appl Meteor Sci, 2022, 33(2): 142-154. doi:  10.11898/1001-7313.20220202
    [17]
    Chen H B, Zheng G G. Mobile systems for monitoring the atmosphere and its environments based on commercial transport platforms. Adv in Earth Sci, 2005, 20(5): 520-524. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ200505006.htm
    [18]
    Roadman J, Elston J, Argrow B, et al. Mission performance of the tempest unmanned aircraft system in supercell storms. J Aircraft, 2012, 49(6): 1821-1830.
    [19]
    Wang S, Zhang D G, Wang W Q, et al. Aircraft measurement of the vertical structure of a weak stratiform cloud in early winter. J Appl Meteor Sci, 2021, 32(6): 677-690. doi:  10.11898/1001-7313.20210604
    [20]
    Liao J, Xiong A Y. Introduction and quality analysis of Chinese aircraft meteorological data. J Appl Meteor Sci, 2010, 21(2): 206-213. http://qikan.camscma.cn/article/id/20100210
    [21]
    Li J X, Li P R, Tao Y, et al. Numerical simulation and flight observation of stratiform precipitation clouds in spring of Shanxi Province. J Appl Meteor Sci, 2014, 25(1): 22-32. http://qikan.camscma.cn/article/id/20140103
    [22]
    Li Y, Ma S Q, Wang G R, et al. Characteristics of meteorological elements during Typhoon Kalmaegi observed by unmanned aerial vehicle. J Appl Meteor Sci, 2009, 20(5): 579-585. http://qikan.camscma.cn/article/id/20090509
    [23]
    Bates T S, Quinn P K, Johnson J E, et al. Measurements of atmospheric aerosol vertical distributions above Svalbard, Norway, using unmanned aerial systems(UAS). Atmos Measur Tech, 2013, 6(8): 2115-2120.
    [24]
    Sitnikov N M, Borisov Y A, Chekulaev I I, et al. Returnable upper-air sonde based on unmanned or remotely-piloted aerial vehicles for atmospheric balloon sounding. Russian Meteor and Hydrol, 2014, 39(9): 634-638.
    [25]
    Lei X T. Progress of unmanned aerial vehicles and their application to detection of tropical cyclone. Adv Earth Sci, 2015, 30(2): 276-283. https://www.cnki.com.cn/Article/CJFDTOTAL-DXJZ201502010.htm
    [26]
    Garratt J R. Review: The Atmospheric boundary layer. Earth-Science Reviews, 1994, 37: 89-134.
    [27]
    Boer G D, Palo S, Argrow B, et al. The Pilatus unmanned aircraft system for lower atmospheric research. Atmos Measur Tech, 2016, 9(4): 1845-1857.
    [28]
    Lenschow D H. Probing the Atmospheric Boundary Layer. Zhou X J, et al, Translation. Beijing: China Meteorological Press, 1990.
    [29]
    Xu J P, Zhao T L, Chen Y, et al. Research on vertical observation and correction method of environmental and meteorological elements in ABL using rotorcraft UAV. J Meteo & Envir, 2022, 38(3): 101-111. https://www.cnki.com.cn/Article/CJFDTOTAL-LNQX202203012.htm
    [30]
    Kimball S K, Montalvo C J, Mulekar M S. Assessing iMET-XQ performance and optimal placement on a small off-the-shelf, rotary-wing UAV, as a function of atmospheric conditions. Atmosphere, 2020, 11(6): 660.
    [31]
    Lee T R, Buban M, Dumas E, et al. On the use of rotary-wing aircraft to sample near-surface thermodynamic fields: Results from recent field campaigns. Sensors, 2019, 19(1): 10.
    [32]
    Greene B R, Segales A R, Waugh S, et al. Considerations for temperature sensor placement on rotary-wing unmanned aircraft systems. Atmos Measur Tech, 2018, 11: 5519-5530.
    [33]
    Nonami K, Kartidjo M, Yoon K J, et al. Autonomous Control Systems and Vehicles: Intelligent Unmanned Systems. Japan: Springer Japan, 2013.
    [34]
    Li W, Zhao P T, Guo Q Y, et al. The international radiosonde interconparison results for China-made GPS radiosonde. J Appl Meteor Sci, 2015, 22(4): 453-462. http://qikan.camscma.cn/article/id/20110408
    [35]
    Yang R K, Dai W, Liu Q Q, et al. Solar radiation error research of sounding temperature sensor. Trans and Microsys Tech, 2013, 32(1): 13-15. https://www.cnki.com.cn/Article/CJFDTOTAL-CGQJ201301003.htm
    [36]
    WMO. Guide to Instruments and Methods of Observation Volume Ⅰ-Measurement of Meteorological Variables. ISBN: 978-92-63-100085, 2018.
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    • Received : 2022-08-08
    • Accepted : 2022-11-08
    • Published : 2023-01-31

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