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Abstract Pc5 geomagnetic pulsations (PGP) are ultra-low frequency (ULF) waves within the 1–7 mHz frequency band observed both in space and on the ground. PGPs offer versatile methods for studying the interaction between the magnetosphere and ionosphere in space. This study presents a comparative analysis of Pc5 pulsations observed in space and on the ground. The dataset used is the magnetic field-aligned readings obtained from the Geostationary Operational Environmental Satellite-10 (GOES-10) and ground-based magnetometer stations from the Svalbard network located in the auroral zone during solar cycle 23. Using the Empirical Mode Decomposition (EMD) method, we transformed the magnetic field time series from GOES-10 into the mean field-aligned coordinate system. PGPs were extracted from the toroidal component using a bandpass Butterworth filter. In addition, Pc5 waves were extracted from the Bz component of the ground magnetometer stations to enable effective comparison. Before conducting the comparative analysis, both Pc5 events on the ground and in space were denoised using the heuristic Stein Unbiased Risk Estimate (SURE) approach with soft thresholding. Consequently, a good coherence between events from space and on the ground was observed, indicating the possibility of the same generation source. However, space-borne Pc5 events have a smaller average amplitude of 21 nT compared to Pc5 events observed on the ground having an average amplitude of 350 nT. We attributed this difference in amplitude to the transformative mechanisms during the wave's propagation to the ground. The average percentage of occurrence of Pc5 geomagnetic pulsations observed in space was found to be 94%, and that on the ground was 86%. The percentage difference was found to be due to the spatial distribution of these waves. The integrity of the retrieved events was demonstrated by the strong correlation between the Kp index and events extracted from the ground magnetometer stations. Our results demonstrate a good understanding of Pc5 geomagnetic pulsations to the space weather community. This will help in developing forecasting and predictive models for effective studies of these waves, mitigating the potential impacts of such events on human activities and infrastructure.
Sebwato et al. (Mon,) studied this question.