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Record W4416675437 · doi:10.1029/2025av001881

Redefining SAR Arc Generation: The Competing Roles of Magnetospheric and Ionospheric Energy Injection

2025· article· en· W4416675437 on OpenAlex
Jing Liu, Wenbin Wang, Jun Liang, Libo Liu, C. R. Martinis, J. Wroten, Yongliang Zhang, Yao Chen, Tru H. Cao, Yifan Lu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAGU Advances · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsUniversity of Calgary
FundersNatural Science Foundation of Shandong ProvinceNational Natural Science Foundation of ChinaNational Science Foundation
KeywordsAirglowIonosphereEarth's magnetic fieldElectron precipitationArc (geometry)PlasmaFlux (metallurgy)MagnetosphereHeat flux

Abstract

fetched live from OpenAlex

Abstract Stable auroral red (SAR) arcs are luminous subauroral emissions produced by the collisional excitation of oxygen atoms during geomagnetically active times. While traditionally attributed to inner magnetospheric electron heating, recent observations and simulations challenge the exclusivity of this mechanism. Here, we resolve the ionospheric origin of SAR arcs using multi‐instrument observations and numerical simulations during the March 2015 geomagnetic storm. Both magnetospheric heat flux and ion‐neutral frictional heating, driven by subauroral plasma flows, independently generate SAR arcs with intensities surpassing background airglow by hundreds of Rayleighs. While thermal electron impact dominates red‐line emissions in both cases, the vertical structures diverge: frictional heating localizes emissions to altitudes of 250–400 km, whereas magnetospheric heating extends emissions above ∼280 km with broader altitudinal coverage. These results redefine SAR arc generation as a product of competing magnetospheric and ionospheric energy pathways, advancing our understanding of cross‐scale interactions in geospace.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.771
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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