Volume 34 Issue 4
Jul.  2014
Turn off MathJax
Article Contents
Ren Tingling, Miao Juan, Liu Siqing, Li Zhitao. Research on Thermospheric Densities Derived from Two-line Element Sets[J]. Journal of Space Science, 2014, 34(4): 426-433. doi: 10.11728/cjss2014.04.426
Citation: Ren Tingling, Miao Juan, Liu Siqing, Li Zhitao. Research on Thermospheric Densities Derived from Two-line Element Sets[J]. Journal of Space Science, 2014, 34(4): 426-433. doi: 10.11728/cjss2014.04.426

Research on Thermospheric Densities Derived from Two-line Element Sets

doi: 10.11728/cjss2014.04.426
  • Received Date: 2013-08-05
  • Rev Recd Date: 2014-02-17
  • Publish Date: 2014-07-15
  • Two-line Orbital Element Sets (TLEs) consist of mean orbital elements at epoch, along with the NORAD (North American Aerospace Defence Command) catalog number, international designator, epoch and additional fitting parameters. These information can be used to derive thermospheric densities through integration of differential equation for mean motion. For near-circular orbit satellites, derived thermospheric density can be seen as real density because of their stable orbit height, while for elliptical orbit satellites, thermospheric density at perigee and apogee can be different as much as several orders. So different methods were applied to derive thermospheric density according to different satellite orbits. This paper chooses CHAMP and Explorer 8 satellites, whose orbits are respectively near-circular and elliptical, as our research cases. The inverse ballistic coefficient B (B-factor) was firstly derived based on TLEs data, then thermospheric densities were derived with different methods according to different orbit characters. Finally, a comparison was made among TLEs-derived density, NRLMSISE-00 model density and observed (or reference) density. The result shows that the average error of TLEs-derived density and empirical model density with respect to observed value for CHAMP is 7.94% and 13.94% respectively, and the average error with respect to reference value for Explorer 8 is 9.04% and 14.32% respectively. This result indicates that TLEs-derived density is closer to the real density than empirical model density, and this method provides an effective way to obtain extensive and reliable atmosphere density data.

     

  • loading
  • [1]
    Berger C, Biancale R Ill M, Barlier F. Improvement of the empirical thermosphere model DTM: DTM-94-A comparative review of various temporal variations and prospects in space geodesy applications[J]. J. Geod., 1998, 72(3):161-178
    [2]
    Bruinsma S, Thuillier G, Barlier F. The DTM-2000 empirical thermosphere model with new data assimilation and constrains at lower boundary: accuracy and properties[J]. J. Atmos. Solar-Terr. Phys., 2003, 65:1053-1070
    [3]
    Hedin A. MSIS-86 thermospheric model[J]. J. Geophys. Res., 1987, 92(A5):4649-4662
    [4]
    Hedin A E. Extension of the MSIS thermospheric model into the middle and lower atmosphere[J]. J. Geophys. Res., 1991, 96(A2):1159-1172
    [5]
    Picone J M, Hedin A E, Drob D P. NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues[J]. J. Geophys. Res., 2002, 107, A12, 1468, doi: 10.1029/2002JA009430
    [6]
    Rhoden E, Forbes J, Marcos F. The influence of geomagnetic and solar variabilities on lower thermosphere density[J]. J. Atmos. Solar-Terr. Phys., 2000, 62:999-1013
    [7]
    Storz M F, Bowman B R. High accuracy satellite drag model[J]. Adv. Space Res., 2005, 36:2497-2505
    [8]
    Miao Juan, Liu Siqing, Li Zhitao, et al. Atmospheric density calibration using the real-time satellite observation[J]. Chin. J. Space Sci., 2011, 31(4):459-466. In Chinese (苗娟, 刘四清, 李志涛, 等. 基于实时观测数据的大气密度模式修正[J]. 空间科学学报, 2011, 31(4):459-466)
    [9]
    Picone J M, Emmert J T, Lean J L. Thermospheric densities derived from spacecraft orbits: Accurate processing of two-line element sets[J]. J. Geophys. Res., 2005, 110, A03301, doi: 10.1029/2004JA010585
    [10]
    Lean J L, Picone J M, Emmert J T, et al. Thermospheric densities derived from spacecraft orbits: Application to the Starshine satellites[J]. J. Geophys. Res., 2006, 111, A04301, doi: 10.1029/2005JA011399
    [11]
    Emmert J T, Picone J M, Lean J L. Global change in the thermosphere: Compelling evidence of a secular decrease in density[J]. J. Geophys. Res., 2004, 109, A02301, doi: 10.1029/2003JA010176
    [12]
    Emmert J T. A long-term data set of globally averaged thermospheric total mass density[J]. J. Geophys. Res., 2009, 114, A06315, doi: 10.1029/2009JA014102
    [13]
    Emmert J T, Picone J M, Meier R R. Thermospheric global average density trends, 1967-2007, derived from orbits of 5000 near-Earth objects[J]. Geophys. Res. Lett., 2008, 35:L05101, doi: 10.1029/2007GL032809
    [14]
    Yang Weilian. Accuracy evaluation of two line element[J]. Spacec. Eng., 2009, 18(3):8-13. In Chinese (杨维廉. 两行根数的精度评估[J]. 航天器工程, 2009, 18(3):8-13)
    [15]
    Diao Ninghui, Liu Jianqiang, Sun Congrong, et al. Satellite orbit calculation based on SGP4 model[J]. Remote Sens. Inf., 2012, 27(4):64-70. In Chinese (刁宁辉, 刘建强, 孙从容, 等. 基于SGP4模型的卫星轨道 计算[J]. 遥感信息. 2012, 27(4):64-70)
    [16]
    Liu Wei, Miao Yuanxing. Tests of the accuracies of SGP4/SDP4 model predictions[J]. Astron. Res. Tech., 2011, 8(2):128-131. In Chinese (刘卫, 缪元兴. SGP4/SDP4模 型预报可靠性分析[J]. 天文研究与技术, 2011, 8(2):128-131)
    [17]
    Hu Min, Zeng Guoqiang. Transformation between mean and osculating orbital elements[J]. J. Spacecr. TT&C Tech., 2012, 31(2):77-81. In Chinese (胡敏, 曾国强. 平均轨道根数与密切轨道根数的互换[J]. 飞行器测控学报, 2012, 31(2):77-81)
    [18]
    Hedin A E, Fleming E L, Manson A H, et al. Empirical wind model for the upper, middle, and lower atmosphere[J]. J. Atmos. Terr. Phys., 1996, 58(13):1421-1447
    [19]
    King-Hele D G. Satellite Orbits in an Atmosphere: Theory and Applications[M]. Glasgow: Blackie and Son Ltd, 1987
    [20]
    Bowman B R. True satellite ballistic coefficient determination for HASDM[C]// AIAA/AAS Astrodynamics Specialist Conference. California: Monterey, 2002
    [21]
    Emmert J T, Meier R R, Picone J M, et al. Thermospheric density 2002-2004: TIMED/GUVI dayside limb observations and satellite drag[J]. J. Geophys. Res., 2006, 111, A10S16, doi: 10.1029/2005JA011495
    [22]
    Picone J M, Hedin A E, Drob D P. NRLMSISE-00 empirical model of the atmosphere: Statistical comparisons and scientific issues[J]. J. Geophys. Res., 2002, 107, A12, 1468, doi: 10.1029/2002JA009430
  • 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(1503) PDF Downloads(1090) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return