This repository presents the SR-GEO-PoC framework: an open-access scientific model for identifying electromagnetic and ionospheric anomalies prior to major earthquakes and volcanic eruptions.
By cross-correlating Schumann Resonance shifts, Total Electron Content (TEC) anomalies, geomagnetic data, gravity changes, and transient luminous events (TLEs), SR-GEO-PoC offers a reproducible structure for investigating crustal energy buildup leading to natural disasters.
SR-GEO-PoC_Abstract.md: High-level summary of the project and theorySR-GEO-PoC_Whitepaper_v1.1.pdf: Full scientific report including methodology, event analysis, and citationsSR-GEO-PoC_AppendixB_ScientificSupport.md: References to supporting peer-reviewed studiesSR-GEO-PoC_AppendixC_Formula.md: Theoretical chain and energy flow diagramSR-GEO-PoC_Claim_of_Originality.md: Declaration of original research and findingsSR-GEO-PoC_References.md: APA-formatted citations from all referenced sources/visuals: Includes curated TLE and SR event images, each labeled and citedPrecursor_Summary_Table.csv: Comparison of observed signal behavior before each event
This project includes case studies of the following:
- Tonga eruption (2022)
- Japan Tōhoku earthquake (2011)
- Nepal earthquake (2015)
- Chile earthquake (2010)
- Iceland Eyjafjallajökull eruption (2010)
- Global cluster (June 2021)
- Wushi earthquake, China (2024)
Crustal stress rises → EM signals propagate upward → Schumann & ionospheric disturbances emerge → Lightning/TLEs increase → Event rupture follows.
Author: Ashley Clark
Email: [email protected]
GitHub: github.com/srgeopoc/SR-GEO-PoC
Zenodo DOI: 10.5281/zenodo.15380981
We invite researchers in geophysics, atmospheric science, and disaster preparedness to validate or extend this model. All materials are fully open-source and freely available for replication or adaptation in regional monitoring efforts.
P_event = w1·SR_amp + w2·SR_freq_shift + w3·TEC_dev +
w4·ELF_spikes + w5·Grav_delta +
w6·Subsurface_Stress + w7·AGW_spike
Subsurface_Stress = (strain_rate + tilt_drift + fluid_pressure_change) / 3
- Core Mode: excludes AGW (w7 = 0)
- Alert Tiers: Watch > 0.5 | Warning > 0.75
- ERP – Earth Resonance Probe: Borehole-based subsurface monitoring logic.
- SERD-M – Silent Energy Routing Detection Model: Logic system for signal-absent ruptures.
- AGW Integration: Detects silent vertical displacement via infrasound and TEC pressure coupling.
| Metric | v1.0 | v2.0 |
|---|---|---|
| Average lead time | <12 hrs | 24–72 hrs |
| Silent event detection | ~10% | 40–60% |
| False positive rate | ~8% | <3.5% |
SR-GEO-PoC_v2.0_Comprehensive_Theoretical_Model_Report.docxSR-GEO-PoC_v2.0_AppendixF_Full_With_Data.docxSR-GEO-M_Abstract_v2.0.mdSR-GEO-M_AppendixC_Formula_v2.0.mdSR-GEO-M_AppendixB_ScientificSupport_v2.0.mdSR-GEO-M_References_v2.0.mdSR-GEO-M_Claim_of_Originality_v2.0.mdVERSION_HISTORY.mdLICENSE.md
Use this repository to explore cross-domain geophysical detection theory, simulate energy buildup analysis, and support research in signal correlation-based early warning strategies.
⚠️ This model is theoretical and not validated. Use for research and experimentation purposes only.