Inferring the Horizontal Speed of an Ionospheric Irregularity From a Single GPS Scintillation Receiver at High Latitudes
Bibliographic record
Abstract
Abstract We propose a new technique to infer the horizontal speed of ionospheric irregularity at high latitudes from the refractive components of the global positioning system (GPS) L1 (1575.42 MHz) and L2 (1227.60 MHz) carrier phases using only a single ground‐based receiver that can log measurements at 50–100 Hz. The test data at Jang Bogo Station (geographic: 74.6°S and 164.2°E; geomagnetic: 77.2°S) in Antarctica and at Sachs Harbor (geographic: 71.9°N and 234.7°E; geomagnetic: 75.6°N) in the Arctic were analyzed for a one‐year period in 2019. The results were compared with data from ground‐based radar observations, the Vertical Incidence Pulsed Ionospheric Radar (VIPIR) in Antarctica and the Canadian Advanced Digital Ionosonde (CADI) in the Arctic, which measures the ion drift velocity at the apex. Although it is difficult to directly compare GPS and radar measurements due to the steep gradient of fast plasma motion in narrow regions at high latitudes, the probability density of the ionospheric irregularity speeds from the two different instruments were consistent with the correlation coefficients of 0.81 and 0.85 in the Southern and Northern hemispheres.
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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 | 0.002 | 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".