Preprints
https://doi.org/10.5194/egusphere-2026-1634
https://doi.org/10.5194/egusphere-2026-1634
02 Apr 2026
 | 02 Apr 2026
Status: this preprint is open for discussion and under review for Annales Geophysicae (ANGEO).

The SuperDARN Meteor Wind Product: A 31-year archive with modeled altitude contributions and validation

Alex Timothy Chartier, Ryan Poffenbarger, Rafael Mesquita, Diego Janches, Jorge Chau, Toralf Renkwitz, Ralph Latteck, and William Bristow

Abstract. Radar echoes from meteor plasma trails constitute one of the main sources of observations of winds in the mesosphere-lower thermosphere. A new 31-year archive of meteor wind observations has been prepared from data taken at 38 Super Dual Auroral Radar Network (SuperDARN) sites, covering 1993–2024. These observations are not height-resolved, and so an empirical meteor model has been produced to estimate the altitude contribution function, in other words the meteor count distribution. The meteor count model RMSEs were estimated at 1.1 km for the peak height and 1.0 km for the full width at half maximum. Using the meteor model, the SuperDARN wind observations have been compared against nearby dedicated meteor radar data, and against JAWARA reanalysis winds. Two case-study comparisons were performed: one for the Andenes meteor radar versus Hankasalmi SuperDARN radar in 2008, and one for the McMurdo meteor radar versus McMurdo SuperDARN radar in 2019. The three datasets were found to be in reasonable agreement, with correlations ranging from 0.49–0.88 for the comparison of SuperDARN against the meteor and 0.50 – 0.72 for the comparison of SuperDARN against JAWARA. A summertime equatorward mean flow of 5–15 m/s was identified in the northern hemisphere SuperDARN data, consistent with previous reports.

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Alex Timothy Chartier, Ryan Poffenbarger, Rafael Mesquita, Diego Janches, Jorge Chau, Toralf Renkwitz, Ralph Latteck, and William Bristow

Status: open (until 14 May 2026)

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Alex Timothy Chartier, Ryan Poffenbarger, Rafael Mesquita, Diego Janches, Jorge Chau, Toralf Renkwitz, Ralph Latteck, and William Bristow
Alex Timothy Chartier, Ryan Poffenbarger, Rafael Mesquita, Diego Janches, Jorge Chau, Toralf Renkwitz, Ralph Latteck, and William Bristow
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Latest update: 02 Apr 2026
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Short summary
We created a new long-term record of upper atmosphere winds using data from a global network of radars spanning more than 30 years. Because these measurements do not directly show altitude, we developed a method to estimate where the signals come from and tested it against other observations and models. The results show good agreement, meaning these data can now be used with greater confidence to study atmospheric motion and its effects on communication and space systems.
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