Volume 43 Issue 3
Jul.  2023
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Article Navigation >  Chinese Journal of Space Science  > 2023  >  43(3): 475-484 Open Access
LIU Wei, LUO Bingxian, GONG Jiancun, HE Quan, WANG Ronglan, XIANG Kaiheng. Construction and Verification of DAM Model (in Chinese). Chinese Journal of Space Science, 2023, 43(3): 475-484 doi: 10.11728/cjss2023.03.2023-0007
Citation: LIU Wei, LUO Bingxian, GONG Jiancun, HE Quan, WANG Ronglan, XIANG Kaiheng. Construction and Verification of DAM Model (in Chinese). Chinese Journal of Space Science, 2023, 43(3): 475-484 doi: 10.11728/cjss2023.03.2023-0007
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Construction and Verification of DAM Model

doi: 10.11728/cjss2023.03.2023-0007 cstr: 32142.14.cjss2023.03.2023-0007
  • 1.

    China Satellite Network Innovation Co., LTD, Beijing 100029

  • 2.

    State Key Laboratory of Space Weather, National Space Science Center, Chinese Academy of Sciences, Beijing 100190

  • 3.

    Innovation Academy for Microsatellites, Chinese Academy of Sciences, Shanghai 201210

  • 4.

    University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2023-01-12
  • Rev Recd Date: 2023-03-19
    • Available Online: 2023-04-23
    Abstract
  • The physical model of the thermosphere and the empirical and semi-empirical model of the thermosphere are analyzed. The basic theory and code analysis of the empirical thermosphere model are used to clarify the model construction methods. Based on the current situation of atmospheric modeling in China, the difficulties are analyzed and development suggestions are given. Based on the GOST model, the prediction performance of atmospheric model in geomagnetic disturbed period was analyzed, and the construction of atmospheric model in geomagnetic storm period was studied. The Disturbed Atmospheric Model (DAM) was constructed based on the measured density data, and its validity was verified. It is found that the mean relative errors of GOST, MSIS00 and DAM models are 64.32%, –176.72% and –14.83%, respectively, within the range of geomagnetic index Ap 100～132. As Ap is within the range of 80～132, the relative error mean of each model is 77.44%, –136.74%, –14.14% respectively, DAM model is significantly improved compared with GOST and MSIS00. It is proved that the modeling method of estimating model parameters by building an atmospheric model framework and measured density data is feasible and effective.

     

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