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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 Articles
Authors

Galina Glebova

Olga Maltseva

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