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Application of Improved Analysis of Variance to Ionospheric TEC Short-Term Forecast

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DOI: 10.4236/pos.2011.21005    5,700 Downloads   10,925 Views   Citations
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ABSTRACT

An improved superposition analysis of periodical wave variance is used for short-term forecast of the ionosphere TEC in this study. Using the ionospheric TEC data provided by IGS as the real value, the forecasting precision of this me-thod at different locations in China with 40 days data is evaluated. The result shows that the improved method has a better forecasting precision which could reach 1.1 TECU. But the forecasting precision still relates to geographical position, it is proportional to longitude and inversely proportional to latitude. Compared with the current-used methods, the improved method has many advantages as higher precision, using fewer parameters and easier to calculate. So, it applied to ionosphere short-term prediction in China very well.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Y. Gong and Y. Dang, "Application of Improved Analysis of Variance to Ionospheric TEC Short-Term Forecast," Positioning, Vol. 2 No. 1, 2011, pp. 55-60. doi: 10.4236/pos.2011.21005.

References

[1] R. Y. Liu, S. L. Liu, Z. H. Xu et al., “Application of Autocorrelation Method to Ionospheric Short-Term Forecast,” Chinese Science Bulletin, Vol. 50, No. 24, 2005, pp. 2781- 2785.
[2] G. Muhtarov and I. Kutiev, “Autocorrelation Method for Temporal Interpolation and Short-Term Prediction of Ionospheric Data,” Radio Science, Vol. 34, No. 2, 1999, pp. 459-464. doi:10.1029/1998RS900020
[3] R. Hanbaba, “COST 251 Final Report, Improved Quality of Service in Ionospheric Telecommunication Systems Planning and Operation,” Warsaw: Space Research Centre, Vol. 12, 1999, pp. 127-142.
[4] A. V. Mikhailov, B. A. de la Morena, and G. Miro, “A Method for f0F2 Monitoring over Spain Using the El Arenosillo Digisonde Current Observations,” 3rd COST 251 Workshop Proceedings, El Arenosillo, Spain, COST- 251TD (99)003, 1998, pp. 185-194.
[5] D. Marin, G. Miro and A. V. Mikhailov, “A Method for f0F2 Short-term Prediction,” 4th COST 251 Workshop Proceedings, Madeira, Portugal, COST251TD 008, 1999, pp. 214-222.
[6] Lj. R. Cander, M. Milosavljevic, S. Stankovic, et al. “Ionospheric Forecasting Technique by Artificial Neural Network,” Electron Letter, Vol. 34, No. 6, 1998, pp. 1573- 1574. doi:10.1049/el:19981113
[7] E. A. Araujo-Pradere, T. J. Fuller-Rowell and M. C. Codrescu, “Storm: An Empirical Storm-Time Ionospheric Correction Model,” Model Description. Radio Science, Vol. 37, No. 5, 2002, pp. 3-1-3.12. doi: 10.1029/2001RS- 002467
[8] E. A. Araujo-Pradere, T. J. Fuller-Rowell and M. C. Codrescu, “Srorm: An Emprircal Storm-Time Ionospheric Correction Model, II, Validation,” Radio Science, Vol. 37, No. 5, 2002, pp. 4.1- 4.14. doi: 10.1029/2002RS002620
[9] C. M. Rushm and Jr. W. R. Edwards, “An Authomated Mapping Technique for Representing the Hourly Behavior of The Ionosphere,” Radio Science, Vol. 11, No. 11, 1976, pp. 931-937. doi:10.1029/RS011i011p00931
[10] R. Y. Liu, P. A. Smith and J. W. King, “A New Solar Index Which Leads to Improved f0F2 Predictions Using the CCIR Atlas,” Telecommunication Journal, Vol. 50, No. 8, 1983, pp. 408- 414.
[11] J. A. Secan and P. J. Wilkinson, “Statistical Studies of an Effective Sunspot Number,” Radio Science, Vol. 32, No. 4, 1997, pp. 1717- 1724. doi:10.1029/97RS01350
[12] J. J. Sojka, D. C. Thompson, R. W. Schunk, et al., “Assimilation Ionospheric Model: Development and testing with Combined Ionospheric Campain Caribbean measurements,” Radio Science, Vol. 36, No. 2, 2001, pp. 247- 259. doi:10.1029/1999RS002411
[13] R. W. Schunk, L. Scherliess and J. J. Sojka, “Recent Approaches to Modeling Ionospheric Weather,” Advances in Space Research, 2003, Vol. 31, No. 4, 2003, pp. 819-828.
[14] R. Y. Liu, J. Wu and B. C. Zhang, “Advances in Research of Ionospheric Weather Broadcasting,” Chinese Journal of Radio Science, Vol. 19, supplement, 2004, pp. 35-40.
[15] X. R. Sun, “The Asia Oceania Region F_2 Layer Prediction Method,” CIC China Communications, Vol. 18, No. 6, 1987, pp. 37-46.
[16] R. Y. Liu, K. H. Quan, K. L. Dai, et al., “A Corrected Method of the International Reference Ionosphere to Be Used in Chinese Region,” ACTA Geophysical Sinica, Vol. 37, No. 4, 1994, pp. 422-432.
[17] J. N. Tu, L. B. Liu and Z. T. Bao, “A Theoretical Low Latitude Ionospheric Model,” Chinese Journal of Space Science, Vol. 17, No. 3, 1997, pp. 212-219.
[18] W. Wan, H. Yuan, B. Ning, et al., “Regional Properties Travelingionospheric Disturbances Observed in Central China,” Advances in Space Research, 1999, Vol. 25, No. 1, pp. 219-222. doi:10.1016/S0273-1177(99)00921-7
[19] C. D. Yang, “Broadcast the Annual Rainfall with Superposition Analysis of Periodical Wave Variance,” Gui Zhou Atmosphere, Vol. 22, No. 1, 1998, pp. 23-25.
[20] J. P. Wang, “Study of the Short-Term Forecasting of the Ionospheric TEC in China and Its Surrounding Area,” XiDian University, Master paper, 2008.

  
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