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Modeling of ionospheric characteristics based on canonical correlation analysis at Bangalore for the year 2017

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Abstract

Ionospheric peak electron density (NmF2) and total electron content (TEC) are the essential measures of ionospheric variability for modeling their effects on navigation and communication system applications. The global and regional models have their limitations in predicting ionospheric variations at the low latitude Indian region, mainly due to the anomalous electron density gradients and equatorial ionization anomaly (EIA) effects. In this paper, ionospheric TEC characteristics are modeled based on canonical correlation analysis (CCA) with Global Positioning System (GPS)-TEC observations and NmF2 values at a northern low latitude station Bangalore (13.02° N and 77.57° E) during the 2017 period. The decomposed CCA modes consist of CCA patterns and their corresponding amplitudes. The short-term variations (diurnal) are reproduced by the CCA patterns, whereas the long-term variations (yearly) are reproduced by their corresponding amplitudes. The first three CCA modes represent the ionospheric features such as diurnal, sunrise and sunset enhancements, semiannual, annual, and solar-cycle variations. Further, the temporal structures of NmF2 are effectively replicated by the CCA model. NmF2 (CCA) showed relatively higher linearity (0.99) and lower RMSE (0.31 TECU), whereas NmF2 (IRI2016) showed lower linearity (0.92) and higher RMSE (1.45 TECU) with the measured-NmF2 values. Hence, the CCA approach could be an effective method for characterizing the NmF2 variations over the low latitude region.

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Authors and Affiliations

  1. Department of ECE, K L Deemed to be University, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, 522502, India

    Ravi Kiran Pyla, Sairam Yashoda & Manikanta Alluri

  2. J. B. Institute of Engineering and Technology, Hyderabad, Telangana, India

    Ravi Kiran Pyla

  3. Department of ECM, K L Deemed to be University, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, 522502, India

    J. R. K. Kumar Dabbakuti & S. G. Prasad Mutchakayala

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  1. Ravi Kiran Pyla
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  2. J. R. K. Kumar Dabbakuti
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  3. S. G. Prasad Mutchakayala
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  4. Sairam Yashoda
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  5. Manikanta Alluri
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Correspondence to J. R. K. Kumar Dabbakuti.

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Pyla, R.K., Dabbakuti, J.R.K.K., Mutchakayala, S.G.P. et al. Modeling of ionospheric characteristics based on canonical correlation analysis at Bangalore for the year 2017. Acta Geod Geophys 55, 579–592 (2020). https://doi.org/10.1007/s40328-020-00317-1

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  • DOI: https://doi.org/10.1007/s40328-020-00317-1

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