• DocumentCode
    126389
  • Title

    Integrated model for short-term forecasting of ionospheric parameters

  • Author

    Jing Feng ; Wen Liu ; Dongyu Qi

  • Author_Institution
    China Res. Inst. of Radiowave Propagation, Qingdao, China
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    So far many kinds of methods have been developed for short-term forecasting of ionospheric parameters worldwide, hence various forecasted results can be got. An integrated model for ionospheric short-term forecasting is presented here which can integratedly use the various forecasting methods by giving each one proper weight and making full use of their advantages. A test for 1h~24h foF2 forecast at nine ionospheric observation stations in China during one solar activity cycle(2000-2010) shows that the model is better than each single input method and the optimal result can be obtained.
  • Keywords
    F-region; ionospheric techniques; solar activity; AD 2000 to 2010; China; foF2 forecast; input method; ionospheric observation stations; ionospheric parameters; ionospheric short-term forecasting; proper weight; solar activity cycle; Artificial neural networks; Computational modeling; Data models; Equations; Forecasting; Mathematical model; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    General Assembly and Scientific Symposium (URSI GASS), 2014 XXXIth URSI
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/URSIGASS.2014.6929755
  • Filename
    6929755