• DocumentCode
    126468
  • Title

    Comparative testing of empirical, data assimilation and physics-based ionospheric/thermospheric models

  • Author

    Elvidge, S. ; Angling, M.J.

  • Author_Institution
    Poynting Inst., Univ. of Birmingham, Birmingham, UK
  • fYear
    2014
  • fDate
    16-23 Aug. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper compares and describes the ability of empirical, data assimilation and physics based ionospheric/thermospheric models to provide profiles of electron density below the peak of the F2 layer. A median empirical model, three data assimilation models and two different approaches to physics-based modelling are considered. A modified Taylor diagram is used to compare the second-order statistics of the foF2, hmF2 and h(0.8foF2) parameters simultaneously. The paper provides a preliminary study in understanding the effectiveness of using physics-based models as the background in Kalman filter data assimilation schemes. It is shown that the data assimilation models perform best followed by the median model and finally the physics based models.
  • Keywords
    Kalman filters; data assimilation; statistics; Kalman filter data assimilation; Taylor diagram; comparative testing; data assimilation models; electron density; median empirical model; median model; physics-based ionospheric/thermospheric models; physics-based modelling; physics-based models; second-order statistics; Correlation; Data assimilation; Data models; Ionosphere; Mathematical model; Physics; Standards;
  • 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.2014.6929834
  • Filename
    6929834