Volume 45 Issue 1
Mar.  2025
Turn off MathJax
Article Contents
ZHU Jiawei, ZHOU Chen, ZHAO Zhengyu, LIU Yi. Inversion of Atmospheric Temperature Based on THz Radiometer (in Chinese). Chinese Journal of Space Science, 2025, 45(1): 125-134 doi: 10.11728/cjss2025.01.2024-0069
Citation: ZHU Jiawei, ZHOU Chen, ZHAO Zhengyu, LIU Yi. Inversion of Atmospheric Temperature Based on THz Radiometer (in Chinese). Chinese Journal of Space Science, 2025, 45(1): 125-134 doi: 10.11728/cjss2025.01.2024-0069

Inversion of Atmospheric Temperature Based on THz Radiometer

doi: 10.11728/cjss2025.01.2024-0069 cstr: 32142.14.cjss.2024-0069
  • Received Date: 2024-05-17
  • Rev Recd Date: 2024-07-15
  • Available Online: 2024-09-09
  • Based on the airborne terahertz detector ATMI (Airborne THz Measure Instrument) developed by Wuhan University, this paper analyzes the inversion ability of ATMI for atmospheric temperature profiles in ground-based and air-based detection modes. In view of the hardware parameters of the ATMI prototype, under air-based and ground-based measurement modes, atmospheric radiation transfer models at different latitudes are established. The inversion ability of ATMI using the BP neural network algorithm for atmospheric temperature profiles at different latitudes is discussed. After the prototype leaves the factory, one-month ground-based field measurements are carried out in mid-latitude regions. The field measurement data are used to verify the inversion ability of the ATMI prototype for atmospheric temperature profiles. The field measurement results show that for the developed ATMI prototype, in the ground-based inversion, the accuracy is better than 1 K in the altitude range of 0~36 km, and within a certain altitude range, the highest accuracy can be better than 0.3 K. This proves the effectiveness and accuracy of the developed airborne terahertz detector for the inversion of atmospheric temperature profiles. Its stability and accuracy have reached the design specifications, indicating its wide application potential in terahertz science and near-space environment monitoring.

     

  • loading
  • [1]
    石颖. 痕量气体太赫兹临边探测辐射特性和反演算法研究[D]. 武汉: 华中科技大学, 2020. DOI: 10.27157/d.cnki.ghzku.2020.005000

    SHI Ying. Research on Radiation Characteristics and Inversion Algorithms of Trace Gas Terahertz Limb Soundings[D]. Wuhan: Huazhong University of Science & Technology, 2020. DOI: 10.27157/d.cnki.ghzku.2020.005000
    [2]
    WANG W Y, WANG Z Z, DUAN Y Q. Preliminary evaluation of the error budgets in the TALIS measurements and their impact on the retrievals[J]. Remote Sensing, 2020, 12(3): 468 doi: 10.3390/rs12030468
    [3]
    王文煜. 太赫兹大气临边探测辐射计应用仿真研究[D]. 北京: 中国科学院大学(中国科学院国家空间科学中心), 2020. DOI: 10.27562/d.cnki.gkyyz.2020.000065

    WANG Wenyu. Simulation Study on Application for THz Atmospheric Limb Sounder[D]. Beijing: National Space Science Center Chinese Academy of Sciences, University of Chinese Academy of Sciences, 2020. DOI: 10.27562/d.cnki.gkyyz.2020.000065
    [4]
    吴鹏, 李洪辉, 于雷, 等. 基于BP神经网络的大气温度廓线分层反演[J]. 科学技术创新, 2021(27): 58-59 doi: 10.3969/j.issn.1673-1328.2021.27.024

    WU Peng, LI Honghui, YU Lei, et al. Hierarchical inversion of atmospheric temperature profile based on BP neural network[J]. Scientific and Technological Innovation, 2021(27): 58-59 doi: 10.3969/j.issn.1673-1328.2021.27.024
    [5]
    姚志刚, 陈洪滨. 利用神经网络从118.75GHz附近通道亮温反演大气温度[J]. 气象科学, 2006, 26(3): 252-259 doi: 10.3969/j.issn.1009-0827.2006.03.003

    YAO Zhigang, CHEN Hongbin. Retrieval of atmospheric temperature profiles with neural network inversion of microwave radiometer data in 6 channels near 118.75 GHz[J]. Scientia Meteorologica Sinica, 2006, 26(3): 252-259 doi: 10.3969/j.issn.1009-0827.2006.03.003
    [6]
    SCHOEBERL M R, DOUGLASS A R, JACKMAN C H. Overview and highlights of the Upper Atmosphere Research Satellite (UARS) mission[C]//SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation. San Diego: SPIE, 1994
    [7]
    MERINO F, MURTAGH D P, RIDAL M, et al. Studies for the Odin sub-millimetre radiometer: III. Performance simulations[J]. Canadian Journal of Physics, 2002, 80(4): 357-373 doi: 10.1139/p01-154
    [8]
    RICAUD P, DE LA NOË J, ERIKSSON J E, et al. Studies for the Odin sub-millimetre radiometer. II. Retrieval methodology[J]. Canadian Journal of Physics, 2002, 80(4): 341-356 doi: 10.1139/p01-150
    [9]
    BARON P, OCHIAI S, DUPUY E, et al. Potential for the measurement of mesosphere and lower thermosphere (MLT) wind, temperature, density and geomagnetic field with Superconducting Submillimeter-Wave Limb-Emission Sounder 2 (SMILES-2)[J]. Atmospheric Measurement Techniques, 2020, 13(1): 219-237 doi: 10.5194/amt-13-219-2020
    [10]
    LIEBE H J. MPM—an atmospheric millimeter-wave propagation model[J]. International Journal of Infrared and Millimeter Waves, 1989, 10(6): 631-650 doi: 10.1007/BF01009565
    [11]
    DECKER M T, WESTWATER E R, GUIRAUD F O. Experimental evaluation of ground-based microwave radiometric sensing of atmospheric temperature and water vapor profiles[J]. Journal of Applied Meteorology and Climatology, 1978, 17(12): 1788-1795 doi: 10.1175/1520-0450(1978)017<1788:EEOGBM>2.0.CO;2
    [12]
    LÖHNERT U, MAIER O. Operational profiling of temperature using ground-based microwave radiometry at Payerne: prospects and challenges[J]. Atmospheric Measurement Techniques, 2012, 5(5): 1121-1134 doi: 10.5194/amt-5-1121-2012
    [13]
    王云, 王振会, 李青, 等. 基于一维变分算法的地基微波辐射计遥感大气温湿廓线研究[J]. 气象学报, 2014, 72(3): 570-582 doi: 10.11676/qxxb2014.036

    WANG Yun, WANG Zhenhui, LI Qing, et al. Research of the one-dimensional variational algorithm for retrieving temperature and humidity profiles from the ground-based microwave radiometer[J]. Acta Meteorologica Sinica, 2014, 72(3): 570-582 doi: 10.11676/qxxb2014.036
    [14]
    陈洪滨, 林龙福. 从118.75 GHz附近六通道亮温反演大气温度廓线的数值模拟研究[J]. 大气科学, 2003, 27(5): 894-900 doi: 10.3878/j.issn.1006-9895.2003.05.10

    CHEN Hongbin, LIN Longfu. Numerical simulation of temperature profile retrievals from the brightness temperatures in 6 Channels near 118.75 GHz[J]. Chinese Journal of Atmospheric Sciences, 2003, 27(5): 894-900 doi: 10.3878/j.issn.1006-9895.2003.05.10
    [15]
    谭泉, 姚志刚, 赵增亮, 等. 机载微波辐射计大气温湿廓线反演性能分析[J]. 气象水文海洋仪器, 2014, 31(3): 5-11 doi: 10.3969/j.issn.1006-009X.2014.03.002

    TAN Quan, YAO Zhigang, ZHAO Zengliang, et al. Analysis of atmospheric parameter retrievals from airborne microwave sounding instruments[J]. Meteorological, Hydrological and Marine Instruments, 2014, 31(3): 5-11 doi: 10.3969/j.issn.1006-009X.2014.03.002
    [16]
    张容容. 基于BP神经网络的多通道微波辐射计大气参数反演算法[D]. 武汉: 华中科技大学, 2017

    ZHANG Rongrong. Retrieval Method of Multichannel Ground-Based Microwave Radiometer for Atmospheric Parameters Based on BP Neural Network[D]. Wuhan: Huazhong University of Science & Technology, 2017
    [17]
    关鑫. 大气温度廓线高光谱微波探测技术研究[D]. 成都: 电子科技大学, 2021. DOI: 10.27005/d.cnki.gdzku.2021.002507

    GUAN Xin. Research on Hyperspectral Microwave Detection Technology of Atmospheric Temperature Profile[D]. Chengdu: University of Electronic Science and Technology of China, 2021. DOI: 10.27005/d.cnki.gdzku.2021.002507
    [18]
    李书磊, 刘磊, 高太长. 大气辐射传输模拟器(ARTS)软件的介绍[J]. 大气与环境光学学报, 2016, 11(4): 241-248

    LI Shulei, LIU Lei, GAO Taichang. Introduction of atmospheric radiative transfer simulator software[J]. Journal of Atmospheric and Environmental Optics, 2016, 11(4): 241-248
    [19]
    邹荣士, 何文英, 王普才, 等. 辐射传输模式对地基微波辐射计观测亮温的模拟能力分析[J]. 大气科学, 2021, 45(3): 605-616. doi: 10.3878/j.issn.1006-9895.2008.20134

    ZOU Rongshi, HE Wenying, WANG Pucai, et al. Assessment of radiative transfer models based on observed brightness temperature from ground-based microwave radiometer[J]. Chinese Journal of Atmospheric Sciences, 2021, 45(3): 605-616 doi: 10.3878/j.issn.1006-9895.2008.20134
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(3)

    Article Metrics

    Article Views(420) PDF Downloads(39) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return