Multi‐Scale Ionospheric Poynting Fluxes Using Ground and Space‐Based Observations
Bibliographic record
Abstract
Abstract Three events are presented where high‐resolution measurements from the Swarm satellites coincided with excellent F‐region ionospheric coverage from The Super Dual Auroral Radar Network (SuperDARN). Large‐scale ionospheric convection patterns from SuperDARN, together with field‐aligned‐current patterns from he Active Magnetosphere and Planetary Response Experiment (AMPERE), provide information on quasi‐static ionospheric dynamics traversed by Swarm. Because the Swarm observations and orbital path coincided with favorable SuperDARN/AMPERE observing conditions, it was possible to filter the Swarm electric field observations into a quasi‐static component that agreed with the SuperDARN electric field. The residual electric field from Swarm is thus indicative of small‐ and mesoscale dynamics not captured by the convection and field‐aligned current (FAC) patterns. Calculations of the Poynting flux between the different instruments show that dynamics on small‐to mesoscales can be highly variable within structures like FACs. In the events shown, small‐ and medium‐scale Poynting fluxes occasionally dominate over those from large‐scale processes.
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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 | 0.001 | 0.001 |
| 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".