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Record W7115739598 · doi:10.1029/2025ja034695

Prolonged Magnetopause Recovery From the Impact of a Strong Stream Interaction Region

2025· article· en· W7115739598 on OpenAlexaff

Bibliographic record

VenueJournal of Geophysical Research Space Physics · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsAthabasca University
FundersNational Natural Science Foundation of China
KeywordsMagnetopauseGeosynchronous orbitSolar windMagnetosphereSpace weatherEarth's magnetic field

Abstract

fetched live from OpenAlex

Abstract High solar wind dynamic pressure, particularly during stream interaction regions (SIRs), can strongly compress the Earth's magnetosphere, posing a risk to space‐based technologies critical to modern society. This study investigates the response of the low‐latitude magnetopause to an extreme SIR on 14 March 2016, using in situ observations. The magnetopause was compressed inward to near geosynchronous orbit and remained compressed for several hours after the SIR's passage, revealing an unusually prolonged recovery phase. We present three lines of analyses: (a) multi‐spacecraft observations of magnetopause crossings; (b) magnetic pressure measurements inside the magnetopause; and (c) ground‐based records of low‐latitude geomagnetic field perturbations. The extended recovery challenges the conventional view that the magnetosphere rebounds within minutes after solar wind compression. These findings highlight the complexity of magnetospheric dynamics under extreme conditions and the need for further investigation into these regions, in order to improve space weather forecasts and protect critical technologies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.349
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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