Feasibility analysis of the Doppler index DI in ionospheric scintillation detection at High Arctic region of Canada
Why this work is in the frame
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Bibliographic record
Abstract
Based on data from 16 ISMR stations of Canadian High Arctic Ionospheric Network (CHAIN) this study analyses ionospheric scintillation phenomena during the strong geomagnetic storm on April 23, 2023. The intensity and duration of the geomagnetic storm were confirmed through variations in the Dst and Kp indexes and the global TEC map. The spatiotemporal distribution and correlation of the DI, ROTI and σφ indexes were analysed, alongside PPP experiments at all stations. The de-trended TEC (dTEC) analysis revealed a link between ionospheric scintillation and TEC fluctuations. Statistical results show a correlation coefficient around 0.7–0.9 between the DI index and ROTI/σφ indexes, with consistent spatiotemporal distributions, especially during the main phase of the geomagnetic storms from 9:00 to 21:00 UTC. The DI was also applied to explore the impact of ionospheric scintillation on GPS PPP, where the fluctuations in DI corresponded with increased positioning errors, highlighting its effectiveness as a monitoring tool.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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 it