Indonesian SBAS ION Paper Iterations
Scope status
This note tracks the iterative research paper series that reframed initial IRI-2020 model validation into ION-style SBAS ionospheric threat modeling. It is a meta-research note, not a source note.
Boundary:
- It does not restate the full paper content (that remains in the LaTeX sources).
- It preserves the evolution of research framing across iterations.
- It links empirical results to SBAS integrity implications.
Iteration timeline
| Version | Date | Framing shift | Key artifact |
|---|---|---|---|
| V0 | Apr 2026 | IRI-2020 validation only | ionosphere_model_error_indonesia.tex |
| V1 | Apr 2026 | SBAS threat discovery framework | ion_indonesia_sbas_ro_threat_paper.tex |
| V2 | Apr 2026 | Expanded dataset (5→8 days), QC, coverage gaps | ion_indonesia_sbas_ro_threat_paper_v2.tex |
| V3 | Apr 2026 | Space-weather + magnetic coordinates + threat budget | ion_indonesia_sbas_ro_threat_paper_v3.tex |
| V4 | Apr 2026 | IGRF14 magnetic-field upgrade, best model: R²=0.44 | ion_indonesia_sbas_ro_threat_paper_v4.tex |
V1 → methodology correction
The first ION-style paper avoided overclaiming that Spire podTec mean values were certified SBAS vertical ionospheric delays. It consistently labels the observable as an RO-derived occultation TEC proxy.
V2 → dataset expansion and coverage diagnosis
- Expanded from 5 to 8 stratified 2025 days
- Added explicit quality-control accounting
- Added local-time coverage-gap quantification
- Key finding: 18–21 LT post-sunset risk-window strict profiles = 0
V3 → space-weather and magnetic-coordinate upgrade
- Added GFZ Kp, Kyoto Dst, F10.7
- Added centered-dipole magnetic latitude + magnetic local time
- Replaced sparse geographic model with additive robust Huber regression
- Added pre-operational SBAS threat-budget scaffold
V4 → IGRF14 magnetic upgrade
- Replaced centered-dipole with
ppigrf-derived IGRF14 dip latitude - Added full IGRF field diagnostics
- Best model: RMSE 36.2 TECU, R² 0.44, p99 residual 114.2 TECU (18.5 m L1)
Persistent integrity finding across all versions
The post-sunset 18–21 LT coverage gap remains 0 profiles in every iteration. This is treated as:
- An acquisition priority for future RO campaigns
- An integrity penalty that must be accounted for in any threat budget
- Not evidence of low risk — absence of data is not evidence of absence
Links to concrete results
- IRI-2020 vs GNSS-RO Indonesia — summary of empirical findings
- SBAS Ionospheric Threat — Empirical Evidence — threat implications
- Source - GNSS-RO Indonesia Empirical Study — study provenance scaffold
Recommended next iteration (V5)
As defined in the V4 paper:
- Targeted data expansion: acquire days specifically designed to fill 18–21 LT post-sunset coverage
- Add storm-event days using Kp/Dst-driven selection
- Build an acquisition diagnostic that selects days by local-time coverage and geomagnetic disturbance before downloading
- Re-run V4 IGRF pipeline on expanded targeted sample
- Only then begin candidate GIVE-like regional bin design