Preprints
https://doi.org/10.5194/egusphere-2026-2344
https://doi.org/10.5194/egusphere-2026-2344
21 May 2026
 | 21 May 2026
Status: this preprint is open for discussion and under review for Annales Geophysicae (ANGEO).

The composite radar-GNSS spectrum of auroral plasma turbulence

Magnus F. Ivarsen, Kaili Song, Luca Spogli, Jean-Pierre St-Maurice, Devin Ray Huyghebaert, Brian Pitzel, Saif Marei, Yangyang Shen, Satoshi Kasahara, Kunihiro Keika, Yoshizumi Miyoshi, Tomo Hori, Atsuki Shinbori, Kazuhiro Yamamoto, David Russel Themens, P. Thayyil Jayachandran, Yoichi Kazama, Shiang-Yu Wang, Ayako Matsuoka, Iku Shinohara, Takefumi Mitani, Takeshi Takashima, Shoichiro Yokota, Yoshiya Kasahara, and Glenn Hussey

Abstract. In the auroral ionosphere, plasma turbulence acts as an important dissipation mechanism for magnetospheric energy and the primary cause of radio wave scintillation. Characterizing auroral plasma turbulence across its full spatial extent has historically been limited by the narrow bandwidths of individual instruments. Our investigation approaches the problem of obtaining accurate, scale-dependent information using the physics of the Farley-Buneman (FB) instability, a modified two-stream plasma instability. In this study, we construct a composite spatial powerspectrum of plasma turbulence in the auroral electrojets spanning roughly four orders of magnitude in scale (from ~100 km down to ~20 m). This is achieved by combining a recent Monte-Carlo-based method of spatial clustering of very-high-frequency (VHF) radar echoes, with phase screen information derived from global navigation satellite system (GNSS) signals, using ground-based instrumentation in Canada. Through multi-instrument conjunctions with the European Swarm and Japanese Arase missions, we observe that the clustering of electrojet turbulence matches the structuring of field-aligned currents, and correlates with magnetospheric electron fluxes. Statistical analysis of the composite spectra, as well as a very large database of radar clustering spectra only, reveals a consistently steep decay of spectral power in the auroral electrojets, with the most probable spectral index being near −8/3. The observations suggest a continuous, scale-invariant cascade that frequently preserves the spatial signature of its magnetospheric drivers, where we outline a way for Alfvén waves to structure the turbulent E-region. Furthermore, we demonstrate that the plasma structures guilty of causing GPS scintillations (~270 meters in size) were moving at the ion acoustic speed, implying that those structures were, in fact, FB waves, and we thereby establish an observational basis for low-frequency electrojet turbulence. The method that we present, the composite radar-GNSS spectra, will on both counts offer useful empirical constraints for future efforts seeking to simulate the "sub-grid" turbulence that complicates the magnetosphere-ionosphere coupling around aurorae.

Competing interests: At least one of the (co-)authors is a member of the editorial board of Annales Geophysicae.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this paper. While Copernicus Publications makes every effort to include appropriate place names, the final responsibility lies with the authors. Views expressed in the text are those of the authors and do not necessarily reflect the views of the publisher.
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Magnus F. Ivarsen, Kaili Song, Luca Spogli, Jean-Pierre St-Maurice, Devin Ray Huyghebaert, Brian Pitzel, Saif Marei, Yangyang Shen, Satoshi Kasahara, Kunihiro Keika, Yoshizumi Miyoshi, Tomo Hori, Atsuki Shinbori, Kazuhiro Yamamoto, David Russel Themens, P. Thayyil Jayachandran, Yoichi Kazama, Shiang-Yu Wang, Ayako Matsuoka, Iku Shinohara, Takefumi Mitani, Takeshi Takashima, Shoichiro Yokota, Yoshiya Kasahara, and Glenn Hussey

Status: open (until 02 Jul 2026)

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Magnus F. Ivarsen, Kaili Song, Luca Spogli, Jean-Pierre St-Maurice, Devin Ray Huyghebaert, Brian Pitzel, Saif Marei, Yangyang Shen, Satoshi Kasahara, Kunihiro Keika, Yoshizumi Miyoshi, Tomo Hori, Atsuki Shinbori, Kazuhiro Yamamoto, David Russel Themens, P. Thayyil Jayachandran, Yoichi Kazama, Shiang-Yu Wang, Ayako Matsuoka, Iku Shinohara, Takefumi Mitani, Takeshi Takashima, Shoichiro Yokota, Yoshiya Kasahara, and Glenn Hussey

Data sets

Icebear data Hussey, Ivarsen https://doi.org/10.5281/zenodo.7509022

Magnus F. Ivarsen, Kaili Song, Luca Spogli, Jean-Pierre St-Maurice, Devin Ray Huyghebaert, Brian Pitzel, Saif Marei, Yangyang Shen, Satoshi Kasahara, Kunihiro Keika, Yoshizumi Miyoshi, Tomo Hori, Atsuki Shinbori, Kazuhiro Yamamoto, David Russel Themens, P. Thayyil Jayachandran, Yoichi Kazama, Shiang-Yu Wang, Ayako Matsuoka, Iku Shinohara, Takefumi Mitani, Takeshi Takashima, Shoichiro Yokota, Yoshiya Kasahara, and Glenn Hussey
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Latest update: 21 May 2026
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Short summary
During geomagnetic storms, the sun drives auroral plasma turbulence that disrupts GPS signals. This turbulence spans sizes from hundreds of kilometers to meters, but most instruments see only a narrow slice. We combined radar and GPS receiver data to build a continuous turbulence spectrum across four orders of magnitude in scale, validated by satellite conjunctions. The spectrum suggests the ionosphere directly mirrors magnetospheric energy input, providing a baseline for space weather models.
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