Long-Term Prediction of the Arctic Ionospheric TEC Based on Time-Varying Periodograms

Jingbin Liu, Ruizhi Chen, Zemin Wang, Jiachun An and Juha Hyyppä

PLOS ONE, 2014, vol. 9, issue 11, 1-9

Abstract: Knowledge of the polar ionospheric total electron content (TEC) and its future variations is of scientific and engineering relevance. In this study, a new method is developed to predict Arctic mean TEC on the scale of a solar cycle using previous data covering 14 years. The Arctic TEC is derived from global positioning system measurements using the spherical cap harmonic analysis mapping method. The study indicates that the variability of the Arctic TEC results in highly time-varying periodograms, which are utilized for prediction in the proposed method. The TEC time series is divided into two components of periodic oscillations and the average TEC. The newly developed method of TEC prediction is based on an extrapolation method that requires no input of physical observations of the time interval of prediction, and it is performed in both temporally backward and forward directions by summing the extrapolation of the two components. The backward prediction indicates that the Arctic TEC variability includes a 9 years period for the study duration, in addition to the well-established periods. The long-term prediction has an uncertainty of 4.8–5.6 TECU for different period sets.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0111497

DOI: 10.1371/journal.pone.0111497

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