Articles | Volume 44, issue 2
https://doi.org/10.5194/angeo-44-1023-2026
https://doi.org/10.5194/angeo-44-1023-2026
Regular paper
 | 
12 Oct 2026
Regular paper |  | 12 Oct 2026

Statistical properties of internal modulation in pulsating aurora

Sota Nanjo, Tomoe Taki, Keisuke Hosokawa, Urban Brändström, Yoshizumi Miyoshi, and Magnar G. Johnsen

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2026-2506', Allison Jaynes, 29 Jun 2026
    • AC1: 'Reply on RC1', Sota Nanjo, 10 Aug 2026
  • RC2: 'Comment on egusphere-2026-2506', Maxime Grandin, 16 Jul 2026
    • AC2: 'Reply on RC2', Sota Nanjo, 10 Aug 2026

Peer review completion

AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
ED: Submit a revised manuscript (10 Aug 2026) by Ana G. Elias
AR by Sota Nanjo on behalf of the Authors (28 Aug 2026)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (28 Aug 2026) by Ana G. Elias
RR by Allison Jaynes (25 Sep 2026)
RR by Maxime Grandin (02 Oct 2026)
ED: Publish as is (02 Oct 2026) by Ana G. Elias
AR by Sota Nanjo on behalf of the Authors (04 Oct 2026)
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Short summary
Pulsating aurora often contains rapid brightness changes, but their overall behavior has not been well measured. We analyzed high-speed camera images from northern Sweden and Norway with machine learning to identify when these rapid changes occur. We found that they become more common toward the morning and at the lower-latitude sector. This suggests that small-scale auroral fluctuation can help reveal how particles from near-Earth space enter the upper atmosphere.
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