Intermittency in the integrated power of ionospheric density fluctuations
Bibliographic record
Abstract
The occurrence of ionospheric irregularities poses a significant challenge to Global Navigation Satellite Systems (GNSS) by disrupting signal propagation and causing loss of lock (LOL) events. This study investigates the integrated power spectral density (PSD) of electron density fluctuations at various scales using nearly ten years of Swarm satellite data. The analysis focuses on the post-sunset equatorial ionosphere, a region prone to ionospheric irregularities. GPS receivers on Swarm A and C, orbiting at altitudes between 430 and 460 km, suffer more frequent loss of navigational capability (LNC) than Swarm B (at 530 km). The observed power-law distribution of integrated power at small spatial scales (<30 km) points to scale-free behavior, which is a hallmark of complex systems and may be associated with self-organized criticality (SOC). The study also employs multifractal detrended fluctuation analysis (MFDFA) to demonstrate the multifractal and intermittent nature of the fluctuations. The findings highlight the importance of intermittency and strong bursts in understanding the LNC and LOL events in the ionosphere. This research contributes to a deeper understanding of the dynamics of ionospheric irregularities and offers potential for improved forecasting and mitigation of their impact on GNSS.
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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 | 0.001 | 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".