Oct 27 – 31, 2025
Europe/Stockholm timezone

Wavelet Spectral Analysis and Decomposition of Ionospheric Parameters of Tromsø Dynasonde

Not scheduled
15m
Mon 27/10: Idun - Tue 28/10, Wed 29/10: Studion

Mon 27/10: Idun - Tue 28/10, Wed 29/10: Studion

Poster SWR4 - Interactions in the Earth’s Magnetosphere-Ionosphere-Thermosphere System and their Space Weather Impact SWR4 –Interactions in the Earth’s Magnetosphere-Ionosphere-Thermosphere System and their Space Weather Impact

Speaker

Arif Armağan Gözütok

Description

The ionosphere exhibits complex, non-stationary behaviors driven by atmospheric, solar, and geomagnetic influences. To effectively analyze such variability, this study employs wavelet spectral analysis on high-resolution data obtained from the Tromsø Dynasonde. Continuous wavelet transforms (CWT) were applied to key ionospheric parameters, including vertical plasma drift velocities and critical frequencies, total electron content, scale height etc., enabling the identification and characterization of transient phenomena such as traveling ionospheric disturbances (TIDs), gravity waves, and sporadic E-layer events. The time-frequency decomposition provided by the Morlet wavelet revealed dominant oscillation periods ranging from tens of minutes to several hours, indicating the presence of both medium-scale TIDs [1] and atmospheric tidal signatures. Further, cross-wavelet and coherence analyses were used to explore potential coupling between ionospheric fluctuations and lower atmospheric dynamics. This approach offers enhanced insight into the temporal evolution and scale-dependent structure of ionospheric processes, demonstrating the effectiveness of wavelet techniques for interpreting dynasonde data in geospace research.

The first results indicate high correlation with respect to diurnal variations, however there are strong correlation periodicity and frequency patterns including diurnal, 12 hourly, 6 hourly intervals as well as the frequency of the Carrington rotation and the spectral patterns that are matching with the high ionospheric translations [2] due to high solar activity cross correlated with the AE index.

[1] Boyde, B., Wood, A. G., Dorrian, G., de Gasperin, F., & Mevius, M. (2025). Statistics of travelling ionospheric disturbances observed using the LOFAR radio telescope. Journal of Space Weather and Space Climate, 15, 6.
[2] Borries, C., Iochem, P., Tasnim, S., & Davis, F. (2024). Persistent high-latitude ionospheric response to solar wind forcing. Journal of Space Weather and Space Climate, 14, 33.

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