the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The SuperDARN Meteor Wind Product: A 31-year archive with modeled altitude contributions and validation
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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- RC1: 'Comment on egusphere-2026-1634', Anonymous Referee #1, 20 May 2026 reply
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AC1: 'Comment on egusphere-2026-1634', Alex Chartier, 27 May 2026
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The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-1634/egusphere-2026-1634-AC1-supplement.pdf
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This article is an advertisement of the new archive of meteor wind data obtained from 38 SuperDARN sites around the globe, covering 1993-2024. It looks like a technical report rather than a research paper. The article describes the methods for wind retrieval and presents a validation by comparing with meteor radars. For more details, codes for calculating the wind and the wind data are available at Zenodo. Potentially, such a dataset might be useful for atmospheric modelling, atmospheric research, and meteor studies.
However, the correlation 0.49-0.88 between the SuperDARN and meteor radars cannot be considered as a reasonable agreement, such that the method will need further improvements. Essential changes are hardly needed in the present paper however it would be worth discussing the issues.
Specifically: