Research Article
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Comparison of ТЕС Prediction Methods in Low Latitudes with GIM Maps

Year 2019, Volume: 7 , 333 - 337, 24.11.2019

Abstract

For the high-latitude part of the low-latitude region, the errors in determining the TEC from the data of Rostov and Ankara stations in 2015 were estimated. The estimates obtained for the IRI-Plas model turned out to be better than for the NeQuick model, with an average absolute error in the range of 3-3.6 TECU, a relative RMS error in the range of 21-27% which is acceptable for use in positioning systems. For a short-term forecast, the best results were obtained by the Standard Persistence Model with an average absolute error in the range of 1.95-2.5 TECU, a relative RMS error in the range of 17-21%. For the proposed method, these estimates were 2.04–2.5 TECU and 12–14%.

References

  • Arikan, F., Arikan, O. & Erol, C. B. (2007). Regularized estimation of TEC from GPS data for certain midlatitude stations and comparison with the IRI model. Advances in Space Research, 39, 867–874. Badeke, R., Borries, C., Hoque, M. M. & Minkwitz D. (2018). Empirical forecast of quiet time ionospheric Total Electron Content maps over Europe. Advances in Space Research, 61, 2881-2890. Hernandez-Pajares, M., Juan, J. M., Sanz, J., Orus, R., Garcia-Rigo, A., Feltens, J., Komjathy, A., Schaer, S. C. & Krankowski, A. 2009. The IGS VTEC maps: a reliable source of ionospheric information since 1998. Journal of Geodesy, 83, (3–4), 263–275. Lean, J. L. (2019). One-to 10-day forecasts of total electron content using a statistical model. Space Weather, 17, 2, 313-338. Okoh, D., Onwuneme, S., Seemala, G., Shuanggen, J., Rabiu, B. Nava, B. & Uwamahoro J. (2018). Assessment of the NeQuick-2 and IRI-Plas 2017 models using global and long-term GNSS measurements. Journal of Atmospheric and Solar-Terrestrial Physics, 170, 1–10.

Year 2019, Volume: 7 , 333 - 337, 24.11.2019

Abstract

References

  • Arikan, F., Arikan, O. & Erol, C. B. (2007). Regularized estimation of TEC from GPS data for certain midlatitude stations and comparison with the IRI model. Advances in Space Research, 39, 867–874. Badeke, R., Borries, C., Hoque, M. M. & Minkwitz D. (2018). Empirical forecast of quiet time ionospheric Total Electron Content maps over Europe. Advances in Space Research, 61, 2881-2890. Hernandez-Pajares, M., Juan, J. M., Sanz, J., Orus, R., Garcia-Rigo, A., Feltens, J., Komjathy, A., Schaer, S. C. & Krankowski, A. 2009. The IGS VTEC maps: a reliable source of ionospheric information since 1998. Journal of Geodesy, 83, (3–4), 263–275. Lean, J. L. (2019). One-to 10-day forecasts of total electron content using a statistical model. Space Weather, 17, 2, 313-338. Okoh, D., Onwuneme, S., Seemala, G., Shuanggen, J., Rabiu, B. Nava, B. & Uwamahoro J. (2018). Assessment of the NeQuick-2 and IRI-Plas 2017 models using global and long-term GNSS measurements. Journal of Atmospheric and Solar-Terrestrial Physics, 170, 1–10.
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Details

Primary Language English
Subjects Engineering
Journal Section Research Article
Authors

Galina Glebova This is me

Olga Maltseva This is me

Publication Date November 24, 2019
Published in Issue Year 2019 Volume: 7

Cite

APA Glebova, G., & Maltseva, O. (2019). Comparison of ТЕС Prediction Methods in Low Latitudes with GIM Maps. The Eurasia Proceedings of Science Technology Engineering and Mathematics, 7, 333-337.