Volume 39 Issue 1
Jan.  2019
Turn off MathJax
Article Contents
YANG Run, XU Jiyao, ZHU Yajun, YUAN Wei. Comparison of Retrieval Methods for Neutral Wind Based on Airglow Measurements by a Ground-based Fabry-Perot Interferometer[J]. Chinese Journal of Space Science, 2019, 39(1): 76-83. doi: 10.11728/cjss2019.01.076
Citation: YANG Run, XU Jiyao, ZHU Yajun, YUAN Wei. Comparison of Retrieval Methods for Neutral Wind Based on Airglow Measurements by a Ground-based Fabry-Perot Interferometer[J]. Chinese Journal of Space Science, 2019, 39(1): 76-83. doi: 10.11728/cjss2019.01.076

Comparison of Retrieval Methods for Neutral Wind Based on Airglow Measurements by a Ground-based Fabry-Perot Interferometer

doi: 10.11728/cjss2019.01.076 cstr: 32142.14.cjss2019.01.076
  • Received Date: 2018-01-24
  • Rev Recd Date: 2018-08-08
  • Publish Date: 2019-01-15
  • Three methods are used to derive neutral winds from mid- and upper atmospheric airglow measurements by a ground-based Fabry-Perot Interferometer (FPI), which was deployed at Xinglong station (40.2°N, 117.4°E) in Hebei province. The three methods are the radius method, the complete Fourier series description method and the nonlinear regression fitting method, respectively. The retrieval results show that the three methods can derive the neutral winds correctly within a given range of error. The nonlinear regression fitting method is recommended among the three methods, because more comprehensive fringe information is taken into account to derive the neutral winds by this method.

     

  • loading
  • [1]
    WANG Houmao, WANG Yongmei. Error calculation and analysis for an improved wind retrieval method based on the ground-based Fabry-Perot interferometer measurements[J]. Adv. Space Res., 2015, 56(9):1815-1821
    [2]
    WANG Yingjian, WANG Yongmei, et al. Numerical simulation of the wind based on the ground-based Fabry-Perot interferometer measurements in the upper atmosphere[J]. J. Geophys. Res., 2014, 57(6):1732-1739(王英鉴, 王咏梅, 等. 高层大气测风用地基F-P干涉仪的数值模拟[J]. 地球物理学报, 2014, 57(6):1732-1739)
    [3]
    WANG Hong. An Study of the Atmospheric Wind Speed Algorithm Based on the Fabry-Perot Interferometer[D]. Beijing:University of Chinese Academy of Sciences, 2014(王宏. 基于Fabry-Perot干涉仪反演大气风速和温度的算法研究[D]. 北京:中国科学院大学, 2014)
    [4]
    HEDLUND P R. Using a Bistatic Fabry-Perot Interferometer System to Improve the Estimation of Thermospheric Winds[D]. Illinois:University of Illinois at Urbana-Champaign, 2010
    [5]
    HAYS P B, MERIWETHER J W, ROBLE R G. Nighttime thermospheric winds at high latitudes[J]. J. Geophys. Res.:Space Phys., 1979, 84 (A5):1905-1913
    [6]
    SIPLER D P, BIONDI M A. Midlatitude F region neutral winds and temperatures during the geomagnetic storm of March 26, 1976[J]. J. Geophys. Res.:Space Phys., 1979, 84(A1):37-40
    [7]
    BIONDI M A, SIPLER D P. Horizontal and vertical winds and temperatures in the equatorial thermosphere:Measurements from Natal, Brazil during August-September 1982[J]. Planet. Space Sci., 1985, 33(7):817-823
    [8]
    NAKAJIMA H, OKANO S, FUKUNISHI H, et al. Observations of thermospheric wind velocities and temperatures by the use of a Fabry-Perot Doppler imaging system at Syowa Station, Antarctica[J]. Appl. Opt., 1995, 34(36):8382-8395
    [9]
    SHIOKAWA K, OTSUKA Y, OYAMA S, et al. Development of low-cost sky-scanning Fabry-Perot interferometers for airglow and auroral studies[J]. Earth Planet. Space. 2012, 64(11):1033-1046
    [10]
    YUAN Wei, XU JiYao, MA RuiPing, et al. First observatiom of msopheric winds by a Fabry-Perot interferometer in China[J]. Chin. Sci. Bull., 2010, 55(35):3378-3383(袁伟, 徐寄遥, 马瑞平, 等. 我国光学干涉仪对中高层大气风场的首次观测[J]. 科学通报, 2010, 55(35):3378-3383)
    [11]
    JIANG GuoYing, XU JiYao, YUAN Wei, et al. A comparison of mesospheric winds measured by FPI and meteor radar located at 40N[J]. Sci. China Tech. Sci., 2012, 55(5):1245-1250
    [12]
    LIU Xiao, XU Jiyao. Thermospheric planetary wave-type oscillations observed by FPIs over XingLong and Millstone Hill[J]. J. Geophys. Res.. 2014, 119(8):6891-6901
    [13]
    WU Qian, YUAN Wei, XU Jiyao, et al. First US-China joint ground-based Fabry-Perot interferometer observations of longitudinal variations in the thermospheric winds[J]. J. Geophys. Res., 2014, 119(7):5755-5763
    [14]
    WANG Houmao, WANG Yongmei, WANG Yingjian, et al. Inversion and error Analysis of mesospheric and Upper-atmospheric winds based on the Fabry-Perot interferometer[J]. Chin. J. Space Sci., 2014, 34(4):415-425(王后茂, 王咏梅, 王英鉴, 等.地基Fabry-Perot中高层大气风速反演及误差分析[J]. 空间科学学报, 2014, 34(4):415-425)
    [15]
    MAKELA J J, MERIWETHER J W, HUANG Y, et al. Simulation and analysis of a multi-order imaging Fabry-Perot interferometer for the study of thermospheric winds and temperatures[J]. Appl. Opt., 2011, 50(22):4403-4416
    [16]
    KILLEEN T L, HAYS P B. Doppler line profile analysis for a multichannel Fabry-Perot interferometer[J]. Appl. Opt., 1984, 23(4):612-620
    [17]
    SHIOKAWA K, KADOTA T, EJIRI M K, et al. Three-channel imaging Fabry-Perot interferometer for measurement of mid-latitude airglow[J]. Appl. Opt., 2001, 40(24):4286-4296
    [18]
    HARDING B J, GEHRELS T W,MAKELA J J. Nonlinear regression method for estimating neutral wind and temperature from Fabry-Perot interferometer data[J]. Appl. opt., 2014, 53(4):666-673
    [19]
    HUANG Y, MEKELA J J, SWENSON G R. Simulations of imaging FabryPerot interferometers for measuring upper-atmospheric temperatures and winds[J]. Appl. Opt., 2012, 51(17):3787-3800
    [20]
    JOSEPH S, MAKELA J J. Fabry-Perot Data Analysis and Simulation for the Renoir Observatories[D]. Illinois:Graduate College of the University of Illinois at Urbana-Champaign, 2008
  • 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

    Article Metrics

    Article Views(1362) PDF Downloads(342) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return