Volume 42 Issue 6
Dec.  2022
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Article Navigation >  Chinese Journal of Space Science  > 2022  >  42(6): 1089-1099
LIU Ang, WANG Ningbo, LI Zishen, ZHANG Yan, LI Ang. Prediction of Global Ionospheric Map Using the Theory of Maximum Posterior Estimation (in Chinese). Chinese Journal of Space Science, 2022, 42(6): 1089-1099 doi: 10.11728/cjss2022.06.210812085
Citation: LIU Ang, WANG Ningbo, LI Zishen, ZHANG Yan, LI Ang. Prediction of Global Ionospheric Map Using the Theory of Maximum Posterior Estimation (in Chinese). Chinese Journal of Space Science, 2022, 42(6): 1089-1099 doi: 10.11728/cjss2022.06.210812085
shu

Prediction of Global Ionospheric Map Using the Theory of Maximum Posterior Estimation

doi: 10.11728/cjss2022.06.210812085 cstr: 32142.14.cjss2022.06.210812085
  • 1.

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094

  • 2.

    School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049

  • Received Date: 2021-08-11
  • Accepted Date: 2021-12-03
  • Rev Recd Date: 2022-03-30
    • Available Online: 2022-12-01
    Abstract
  • A method based on maximum posterior estimation is proposed for the prediction of global ionosphere. Using the rapid ionospheric products from the Chinese Academy of Sciences (CAS), the 1-, 2- and 5-day predicted Global Ionospheric Maps (GIM) are routinely generated with the proposed algorithm. The qualities of CAS predicted GIMs as well as those from the Center for Orbit Determination of Europe (CODE), European Space Agency (ESA) and the Polytechnic University of Catalonia (UPC), are evaluated during 2008-2017 using Total Electron Content (TEC) references derived from the final GIMs of the International GNSS Service (IGS), Jason altimetry and global GNSS reference stations. The consistency between CAS predicted GIMs and IGS final GIMs is 2.4~3.1 TECU during the test period. Compared to Jason derived TEC observables, the precision of CAS predicted GIMs is on the level of 5.1~6.6 TECU over global oceanic regions. Compared to the TECs derived by global reference stations, the ionospheric delay correction accuracy of CAS predicted GIMs is better than 80%. Overall, the quality of CAS predicted GIM performs at the same level with that from CODE, which is significantly better than ESA and UPC predicted ones.

     

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