Analysis of GPS-TEC at polar conjugate stations during 2003 equinoxes
Bibliographic record
Abstract
The solar energy affects on the ionosphere is of a major concern and is being investigated worldwide. As the ionosphere is an ever changing-medium it is difficult to precisely determine the TEC, which is also subjected to seasonal variations. Conjugate stations allow excellent opportunities to learn any asymmetric properties and its phenomena. With these respects, this paper examine the GPS derived TEC variations during the vernal and autumnal equinoxes period for the year 2003 at the polar conjugate stations. A month of GPS TEC data (two weeks before and after the equinox onset) at Scott Base station, Antarctica (SBA) and the Canadian Resolute Cornwallis Island station (RESO), Artic are analyzed. Results show that mean TEC during vernal equinox (VE) is higher at SBA than at RESO by about 12.5% and during autumnal equinox (AE) it is higher at RESO than SBA by about 12.6% with both conjugate stations having approximately similar total mean TEC during the equinoxes (VE+AE) of about 21 TECU. This preliminary investigation shows the potential of seasonal effects at high latitudes conjugate stations towards a better characterization of the ionospheric TEC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".