On the spatial and temporal relationship between auroral intensification and flow enhancement in a pseudosubstorm event
Bibliographic record
Abstract
We present a joint study of substorm growth phase flow enhancements observed by Super Dual Auroral Radar Network HF radars and auroral optical intensifications observed by Canadian Auroral Network for the OPEN Program Unified Study meridian‐scanning photometers (MSPs). During the event time, 0426–0500 UT on 26 December 1998, a flow enhancement structure was observed by HF radar from just equatorward of the polar cap boundary, whose location is estimated from the MSP observation of the poleward edge of 630 nm emissions, down to 68.5° ± 0.4° magnetic latitude, which is the boundary between the boundary plasma sheet and the central plasma sheet (CPS) inferred from the analysis of radar Doppler spectral widths. We suggest that the flow enhancements were associated with the tail reconnection process in response to the solar wind activation. The auroral optical intensifications were located inside the CPS. A zonal flow shear region characteristic of the Harang discontinuity was also inferred from the radar observation and was found to be closely associated with the auroral intensification structure. The flow enhancement and auroral intensifications were well correlated and occurred almost simultaneously. We found that existing models associating the tail reconnection process and near‐geosynchronous onset of substorms do not explain this temporal relationship very well, and thus we propose a new model.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".