Volume 36 Issue 3
May  2016
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CHENG Guosheng, LI Xingxiang, LAI Peng, ZHOU Lü. Atmospheric Density Model Calibration Using 2-dimension Kernel Regression Method[J]. Journal of Space Science, 2016, 36(3): 323-330. doi: 10.11728/cjss2016.03.323
Citation: CHENG Guosheng, LI Xingxiang, LAI Peng, ZHOU Lü. Atmospheric Density Model Calibration Using 2-dimension Kernel Regression Method[J]. Journal of Space Science, 2016, 36(3): 323-330. doi: 10.11728/cjss2016.03.323

Atmospheric Density Model Calibration Using 2-dimension Kernel Regression Method

doi: 10.11728/cjss2016.03.323
  • Received Date: 2015-05-07
  • Rev Recd Date: 2015-12-02
  • Publish Date: 2016-05-15
  • The errors of traditional empirical thermospheric density models often translate into orbit errors of the Low Earth Orbit (LEO) satellites,adversely affect applications such as re-entry operations,manoeuver planning,collision avoidance and precise orbit determination for geodetic missions.By using the data detected by Tiangong-1,the features of NRLMSISE-00 model's density errors is analyzed,and it is found that the errors of model at the similar local time and latitude can be considered approximately identical during the quiet geomagnetic field (Ap ≤ 30).In this paper, 2-dimension kernel regression method is used to estimate model's error based on the sample error data at the similar station.Finally,weighted calibration method is developed for the calibration of model's density according to the duration of time from the sample date to the prediction data,and the RMS level of the error could be reduced from 14.09% to 4.05% through calibration.The results indicate that thermosphere densities can be obtained in high precision with this method.


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  • [1]
    QIAN L Y, SOLOMON S C. Thermospheric density:an overview of temporal and spatial variations[J]. Space Sci. Rev., 2012, 168(1/2/3/4):147-173
    JACCHIA L G. New Static Models of the Thermosphere and Exosphere with Empirical Temperature Models[R]. Cambridge:Smithsonian Astrophysical Observatory, 1970
    KALLMANN-BIJL H, BOYD R L F, LAGOW H, et al. CIRA 1961:COSPAR International Reference Atmosphere 1961[R]. Amsterdam:North-Holland Publishing Company, 1961
    HEDIN A. MSIS-86 thermospheric model[J]. J. Geophys. Res., 1987, 96(A5):4649-4662
    HEDIN A. Extension of the MSIS thermospheric model into the middle and lower atmosphere[J]. J. Geophys. Res., 1991, 96(A2):1159-1172
    PICONE J, HEDIN A, DROB D, et al. NRLMSISE-00 empirical model of the atmosphere:statistical comparisons and scientific issues[J]. J. Geophys. Res., 2002, 107(A12):SIA15.1-SIA15.16
    BERGER C, BIANCALE R Ⅲ 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
    BRUINSMA S, THUILLIER G, BARLIER F. The DTM-2000 empirical thermosphere model with new data assimilation and constraints at lower boundary:accuracy and properties[J]. J. Atmos. Solar-Terr. Phys., 2003, 65:1053-1070
    MARCOS F, BASS J, BAKER C, et al. Neutral density models for aerospace applications[R]. Nevada:32nd Aerospace Sciences Meeting and Exhibit, 1994
    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
    LI Xie, TANG Geshi, ZHANG Yu, et al. The accuracy analysis of empirical density models and application in rendezvous and docking mission[C]. Shenyang:S14 Foundation Detection and Numerical Simulation of Space Weather, 2012
    MIAO Juan, LIU Siqin, LI Zhitao, et al. Atmospheric density calibration using the real-time satellite observation[J]. Chin. J. Space Sci., 2011, 31(4):459-466(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)
    CHEN Xuxing, HU Xiong, XIAO Cunying, et al. Correlation method of the low earth orbital neutral density prediction based on the satellites data and NRLMSISE-00 model[J]. Chin. J. Geophys., 2013, 56(10):3246-3254
    DOORNBOS E, KLINKRAD H, VISSER P. Use of twoline element data for thermosphere neutral density model calibration[J]. Adv. Space Res., 2008, 41:1115-1122
    KIM J S, URBINAB J V, KANEC T J, et al. Improvement of TIE-GCM thermospheric density predictions via incorporation of helium data from NRLMSISE-00[J]. J. Atmos. Solar-Terr. Phys., 2012, 77:19-25
    LU Ming, LI Zhi, CHEN Maoyin. Analysis and verification of the NRLMSISIE-00 atmospheric model[J]. J. Acad. Equip. Comm. Technol., 2010, 21(4):57-61
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