PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 2026Atmosphere3 citationsOpen Access

Ionospheric Response to the Geomagnetic Storm of 12–14 November 2025, Based on Multi-Parameter Analysis of Data from the LAERT Topside Sounder

View Full Paper
SPSergey PulinetsNKN. G. KotonaevaVDVictor H Depuev

Key Points

  • The study aims to analyze the ionospheric response to the geomagnetic storm that occurred from 12-14 November 2025.
  • Used data from four LAERT topside sounders aboard Ionosfera-M satellites.
  • Conducted a comprehensive multi-parameter analysis of the storm's impact.
  • Focused on polar and auroral zones along with the equatorial anomaly region.
  • Identified sharp gradients in electron density throughout various ionospheric layers.
  • Documented widespread disturbances in the F-layer during the storm.
  • Noted the formation of giant plasma bubbles as a significant feature of the event.

Abstract

As Akasofu noted, no two geomagnetic storms are identical, yet the storm that occurred between 12 and 14 November 2025 stands out as an exceptional phenomenon. Its impact was evident across multiple layers of the ionosphere and numerous parameters, making it essential to conduct a comprehensive multi-parameter analysis of this event. Such an analysis relied upon data from the four LAERT topside sounders mounted aboard the recently launched Ionosfera-M satellites. Global ionospheric dynamics were thoroughlyexamined during the storm period, particularly focusing on the polar and auroral zones, along with the equatorial anomaly region. Notable features included sharp electron density gradients, widespread F-layer disturbances, and the formation of giant plasma bubbles. These elements collectively contributed to the dynamic picture of the ionospheric storm captured through multi-parameter measurements by the LAERT sounders.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Pulinets et al. (2026) studied this question.

synapsesocial.com/papers/6980fed9c1c9540dea811453https://doi.org/10.3390/atmos17020150
Ask AI
Helpful
Bookmark
Share
View Full Paper