Unexpected STEVE Observations at High Latitude During Quiet Geomagnetic Conditions
Bibliographic record
Abstract
Strong Thermal Emission Velocity Enhancement (STEVE) is a fascinating optical phenomenon typically observed in the mid-latitude ionosphere. Recent observations reveal an exceptional STEVE event occurring at high latitudes, approximately 10 degrees poleward of previously documented cases. This event, recorded in Yellowknife, Canada, by a TREx RGB imager and a citizen scientist, coincided with Swarm satellite measurements of extreme westward ion drift velocities exceeding 4 km/s. Such velocities are generally associated with subauroral regions at mid-latitudes, making this high-latitude occurrence particularly striking.Notably, this event unfolded in the absence of a substorm, a departure from previous STEVE and extreme drift velocity observations. High-latitude radars detected rapid equatorward ionospheric flows, while GOES satellites recorded no particle injections, suggesting a highly inflated inner magnetosphere.This unique case study challenges existing paradigms of subauroral dynamics and highlights the significant influence of magnetospheric configurations on ionospheric responses. In this talk, we will discuss the characteristics of this event and examine the associated solar wind, magnetosphere, and ionosphere interactions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".