Volume 35 Issue 2
Mar.  2015
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Article Navigation >  Chinese Journal of Space Science  > 2015  >  35(2): 166-177
Wan Dehuan, Huang Jiang, Deng Baichang, Xu Jie, Kong Debao, Lin Guoguo. Comparison of f0F2 between observation and the prediction based on IRI-2012 over Guangzhou[J]. Chinese Journal of Space Science, 2015, 35(2): 166-177. doi: 10.11728/cjss2015.02.166
Citation: Wan Dehuan, Huang Jiang, Deng Baichang, Xu Jie, Kong Debao, Lin Guoguo. Comparison of f0F2 between observation and the prediction based on IRI-2012 over Guangzhou[J]. Chinese Journal of Space Science, 2015, 35(2): 166-177. doi: 10.11728/cjss2015.02.166
shu

Comparison of f0F2 between observation and the prediction based on IRI-2012 over Guangzhou

doi: 10.11728/cjss2015.02.166
  • 1.

    School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641

  • 2.

    Guangzhou Meteorological Satellite Station, Guangzhou 510643

  • 3.

    School of Physics and Optoelectronics, South China University of Technology, Guangzhou 510641

  • Received Date: 2014-04-04
  • Rev Recd Date: 2014-12-05
  • Publish Date: 2015-03-15
    Abstract
  • Monthly mean values of f0F2 parameter, with an hour time interval resolution for diurnal variation, obtained at Guangzhou (23.2°N, 113.3°E) station are used to investigate the variations and comparisons with the International Reference Ionosphere (IRI-2012) model predictions. The results show that generally, IRI-2012 predictions follow well with the diurnal and seasonal variation patterns of the observed values of f0F2, and the predictions with CCIR coefficients is better than URSI. However, there are systematic deviation between observed values and IRI predictions with either CCIR or URSI coefficients. Generally IRI model greatly underestimates the values of f0F2 from about noon to sunrise of the next day, especially at 20:00LT, and slightly overestimates them from sunrise to about noon. The deviation will increase at the time when the nighttime enhancement occurred, especially in spring and autumn. This means that the predictions can not follow well with variation of the observed values of f0F2.

     

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