Quasi‐6‐Day Wave Effects on the Equatorial Ionization Anomaly Over a Solar Cycle
Bibliographic record
Abstract
Abstract The quasi‐6‐day wave (Q6DW) has recently been recognized as an important source of ionospheric variability. This study shows how the response of the equatorial ionosphere to the Q6DW changes over a solar cycle. Global maps of total electron content (TEC) from Global Positioning System data are used to quantify Q6DW effects on the equatorial ionization anomaly during 2004–2017. The results are compared with the Q6DW amplitude in the lower thermosphere as derived from the geopotential height measurements by the Aura satellite. A nearly one‐to‐one correspondence is found between Q6DW activities in the ionosphere and lower thermosphere, indicating robust vertical coupling. The absolute amplitude of the Q6DW in low‐latitude TEC varies with the solar activity index F 10.7 and can reach 8 TEC unit (=10 16 el/m 2 ) near the crests of the equatorial ionization anomaly during solar maximum. On the other hand, the relative amplitude is unaffected by solar activity, with its annual maximum value being ∼10% for both solar minimum and solar maximum. These results establish the persistent influence of the Q6DW on the equatorial ionosphere under different solar activity conditions.
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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 | 0.000 | 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".