Small‐scale vortices in the high‐latitude <i>F</i> region
Bibliographic record
Abstract
The dayside outer magnetosphere is a region of direct interaction with the shocked solar wind in the magnetosheath, resulting in plasma and hydromagnetic waves and spatial turbulence which map along the Earth's magnetic field lines down to the ionosphere where the waves and/or turbulence can be detected directly by radar scattering from the associated electron density variations. In a previous paper by Schiffler et al. [1997] it was reported that double‐peaked (D‐P) velocity spectra measured by the Super Dual Auroral Radar Network (SuperDARN) HF radars are a signature of backscatter from the ionospheric footprint of the outer low‐latitude boundary layer (LLBL). In the present statistical study, Saskatoon HF radar data are used to determine the ionospheric location at which D‐P HF spectra originate and to confirm the previous result that the majority of the D‐P spectra are associated with the ionospheric cusp/cleft region. Employing high spatial (15 km) and high temporal (3 s) resolution modes, we establish an upper limit of ∼ 26 km on the scale size and ∼4 s on the lifetime of the structures producing the echoes showing D‐P spectra. We postulate a number of mechanisms that could cause D‐P spectra and conclude that ionospheric vortices appear to be the most likely explanation of the radar observations.
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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 | 0.000 |
| 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) | 0.000 | 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".