Ionospheric parameter modelling and anomaly discovery by combining the wavelet transform with autoregressive models

• Published in: Annals of Geophysics
• Main Authors: Oksana V. Mandrikova, Nadezda V. Fetisova (Glushkova), Riad Taha Al-Kasasbeh, Dmitry M. Klionskiy, Vladimir V. Geppener, Maksim Y. Ilyash
• Format: Article in Journal/Newspaper
• Language: English
• Published: Istituto Nazionale di Geofisica e Vulcanologia (INGV) 2015
• Subjects: Ionospheric parameters; Perturbation; Earthquake; Anomaly; Prediction; Wavelet transform; Autoregressive integrated moving average model; Critical frequency data; Total electron content data; Meteorology. Climatology; QC851-999; Geophysics. Cosmic physics; QC801-809; Magadan; Kamchatka
• Online Access: https://doi.org/10.4401/ag-6729; https://doaj.org/article/7dc6165d29704be5bba99b35193fa012

The paper is devoted to new mathematical tools for ionospheric parameter analysis and anomaly discovery during ionospheric perturbations. The complex structure of processes under study, their a-priori uncertainty and therefore the complex structure of registered data require a set of techniques and...