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Verification of Ionospheric Models by TEC and Satellite Measurements

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Published:06 November 2017Publication History

ABSTRACT

Despite a huge stream of the experimental data, allowing us to estimate ionospheric parameters in near real time, necessity for ionospheric modeling does not decrease. Transition to developing a model of the most changeable structure - the main ionospheric trough (MIT) was now outlined. The latest model is the Karpatchev and co-authors's model of 2016 which concerns night winter conditions (the most probable occurrence of a trough). The model is constructed according to vertical sounding and measurements of plasma frequency on satellites. As the increasing role in an estimation of ionospheric conditions is played by the total electron content (TEC), in the present paper the problem of comparison of TEC behaviour with the MIT model was put. It is shown, that TEC always shows presence of the trough however its form is more smoothed. Good enough conformity exists for longitudinal dependence of MIT, but latitudinal dependence of the TEC trough is closer to data of low-orbit satellites. Testing of the International Reference Ionosphere model is a traditional problem. In the present paper, the basic attention was given to conformity of ionospheric and plasma frequencies at height of the satellite and to use TEC. It is shown, that the usage of TEC increases accuracy of definition of critical frequencies in 1.5 times in comparison with the model in a range 5° on a latitude and 90° on a longitude from ionosondes.

References

  1. J.M. Goodman. 2005. Operational communication systems and relationships to the ionosphere and space weather. Adv. Space Res. 36 (2005), 2241--2252.Google ScholarGoogle ScholarCross RefCross Ref
  2. N. Yang, H. Le, and L. Liu. 2015. Statistical analysis of ionospheric mid-latitude trough over the Northern Hemisphere derived from GPS total electron content data. Earth, Planets and Space, 67 (2015), 196.Google ScholarGoogle ScholarCross RefCross Ref
  3. D.B. Muldrew. 1965. F-layer ionization troughs deduced from Alouette data. Geophys. Res., 70(11). (1965), 2635--2650.Google ScholarGoogle Scholar
  4. J. Lei, J. Zhong, T. Mao, Hu, L., Yu. Tao, X. Luan, X. Dou, E. Sutton, X. Yue, J. Lin, and et al. 2016. Contrasting behavior of the F2 peak and the topside ionosphere in response to the 2 October 2013 geomagnetic storm. J. Geophys. Res. Space Physics, 121 (2016), 10,549--10,563.Google ScholarGoogle ScholarCross RefCross Ref
  5. J. Zhong, W. Lei, A. Wang, G. Burns, X. Yue, and X. Dou. 2017. Longitudinal variations of topside ionospheric and plasmaspheric TEC. J. Geophys. Res. Space Physics. 122 (2017).Google ScholarGoogle Scholar
  6. D. Bilitza, D. Altadill, Y. Zhang, C. Mertens, V. Truhlik, P. Richards, L.-A. McKinnell, and B. Reinisch. 2014. The International Reference Ionosphere 2012 -- a model of international collaboration. J. Space Weather Space Clim., 4, A07 (2014), 12pages.Google ScholarGoogle ScholarCross RefCross Ref
  7. A. Krankowski, I.I. Shagimuratov, I.I. Ephishov, A. Krypiak-Gregorczyk, and G. Yakimova. 2009. The occurrence of the mid-latitude ionospheric trough in GPS-TEC measurements. Adv. Space Res., 43 (2009), 1721--1731.Google ScholarGoogle ScholarCross RefCross Ref
  8. A.T. Karpachev, M.V. Klimenko, V.V. Klimenko, and L.V. Pustovalova. 2016. Empirical model of the main ionospheric trough for the nighttime winter conditions. J. Atm. Solar-Terr. Phys. 146 (2016), 149--159.Google ScholarGoogle ScholarCross RefCross Ref
  9. A.T. Karpachev, G.F. Deminova, and V.V. Afonin. 2005. Global Response of the Upper Ionosphere to the Magnetospheric Storm of March 22-23, 1979, Geomagnetism and Aeronomy, 45(6), (2005), 730--744.Google ScholarGoogle Scholar
  10. C. Xiong, H. Lühr, and S.Y. Ma. 2013. The subauroral electron density trough: Comparison between satellite observations and IRI-2007 model estimates. Adv. Space Res., 51 (2013), 536--544.Google ScholarGoogle ScholarCross RefCross Ref
  11. X. Yue, W.S. Schreiner, N. Pedatella, R.A. Anthes, A.J. Mannucci, P.R. Straus, and J.-Y. Liu. 2014. Space Weather Observations by GNSS Radio Occultation: From FORMOSAT-3/COSMIC to FORMOSAT-7/COSMIC-2. Space Weather, 12 (2014), 616--621.Google ScholarGoogle ScholarCross RefCross Ref
  12. M.V. Klimenko, V.V Klimenko, I.E. Zakharenkova, and Iu.V. Cherniak. (2015). The global morphology of the plasmaspheric electron content during Northern winter 2009 based on GPS/COSMIC observation and GSM TIP model results. Adv. Space Res. 55 (2015), 2077--2085.Google ScholarGoogle ScholarCross RefCross Ref
  13. W. Schreiner, C. Rocken, S. Sokolovskiy, and et al. 2007. Estimates of the precision of GPS radio occultations from the COSMIC/FORMOSAT-3 mission. Geophys. Res. Lett., 34 (2007) L04808.Google ScholarGoogle ScholarCross RefCross Ref
  14. M.G. Deminov, and A.T. Karpachev. 1988. Longitudinal effect in main ionospheric trough according to data of "Intercosmos-19" satellite, Geomagn. Aeron. 28(1), (1988), 76--80, in Russian.Google ScholarGoogle Scholar
  15. N.P. Benkova, M.G. Deminov, A.T. Karpachev, N.A. Kochenova, Yu.V. Kusnerevsky, V.V. Migulin, S.A. Pulinets, and M.D. Fligel. 1990. Longitude features shown by topside sounder data and their importance in ionospheric mapping. Adv. Space Res., 10(8). (1990), 57--66.Google ScholarGoogle Scholar
  16. G.W. Sharp. 1966. Midlatitide Trough in the Night Ionosphere. J. Geophys. Res., 71(5), (1966), 1345.Google ScholarGoogle Scholar
  17. J. Lin, Y. Wu, X. Qiao, and Y. Zhou. 2012. An alternative Shell inversion technique -- Analysis and validation based on COSMIC and ionosonde data, Adv. Space Res., 49 (2012), 89--95.Google ScholarGoogle ScholarCross RefCross Ref
  18. A. Krankowski, I. Zakharenkova, A. Krypiak-Gregorczyk, I.I. Shagimuratov, and P. Wielgosz,. 2011. Ionospheric electron density observed by FORMOSAT-3/COSMIC over the European region and validated by ionosonde data. J Geod., 85 (2011), 949--964.Google ScholarGoogle ScholarCross RefCross Ref
  19. O.A. Maltseva, and N.S. Mozhaeva. 2016. Efficiency of the equivalent slab thickness of the ionosphere to set radio wave propagation conditions. In Proceedings of Fifth International Conference on Telecommunications and Remote Sensing Milan, Italy; 10-11 October 2016, 5--14. ISBN: 978-989-758-200-4.Google ScholarGoogle Scholar
  20. B. Nava, P. Coïsson, and S.M. Radicella. 2008. A new version of the NeQuick ionosphere electron density model. J. Atm. Solar-Terr. Phys., 70 (2008), 1856--1862.Google ScholarGoogle ScholarCross RefCross Ref
  21. A.T. Karpachev, N.A. Gasilov. 2006. Causes of longitude-latitudinal variations in the ionospheric F2-layer maximum in summer nighttime conditions. Intern. J. Geomagetism and Aeronomy, 6 (2006), GI2006.Google ScholarGoogle Scholar
  1. Verification of Ionospheric Models by TEC and Satellite Measurements

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    • Published in

      cover image ACM Other conferences
      ICTRS'17: Proceedings of the 6th International Conference on Telecommunications and Remote Sensing
      November 2017
      82 pages
      ISBN:9781450363648
      DOI:10.1145/3152808

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      Publication History

      • Published: 6 November 2017

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