Empirical Evidence of Ionospheric Total Electron Content (TEC) Precursors for Japanese Seismic Activity: A Multi-Stage Pruning and Shindo-Scaled Batch Verification

Empirical Evidence of Ionospheric Total Electron Content (TEC) Precursors for Japanese Seismic Activity: A Multi-Stage Pruning and Shindo-Scaled Batch Verification (Version 1.0.0) Abstract Earthquake short-term forecasting has long faced scientific skepticism due to the mechanical difficulty of directly measuring subsurface fault stresses. Here, we present empirical evidence demonstrating that localized ionospheric Total Electron Content (TEC) perturbations serve as robust pre-seismic precursors across a wide spectrum of earthquake magnitudes in Japan, ranging from moderate seismic intensity (JMA Shindo 3 / M 3.8–4.4) to catastrophic rupture (JMA Shindo 7 / M7.5 2024 Noto Peninsula Earthquake). By leveraging Global Ionosphere Maps (GIM/IONEX, 1-hour resolution) and establishing a 4-stage pseudo-signal pruning pipeline—integrating planetary geomagnetic disturbance shielding (Kp < 3.5), regional spatial differential filtering against nationwide solar fluctuations, and temporal persistence criteria (≥ 2 consecutive hours)—we successfully eliminate 100% of quiet-time false alarms. A systematic batch verification across 20 representative shallow crustal seismic events in Japan reveals: Shindo 3 Events (M3.8–4.4): 75.0% Precursor Hit Rate (6 of 8 events, average lead time 98.8 hours / ~4.1 days prior). Shindo 4 to 5-Weak Events (M4.5–5.4): 100.0% Precursor Hit Rate (7 of 7 events, average lead time 110.0 hours / ~4.6 days prior). Shindo 5-Strong to 7 Events (M5.5+): 100.0% Precursor Hit Rate (5 of 5 events, average lead time 118.5 hours / ~4.9 days prior). Overall Precursor Detection Rate: 90.0% (18 of 20 events, mean lead time 108.5 hours / ~4.5 days prior). Pre-seismic anomalies consistently emerge within a golden window of 3 to 5 days (~70–120 hours) prior to rupture, physically corresponding to micro-crack stress accumulation and positive hole (p-hole) charge release (Lithosphere-Atmosphere-Ionosphere Coupling, LAIC). This localized physical evidence also scientifically disproves popular teleconnection myths regarding distant trans-oceanic earthquake triggering (e.g. South America or Indonesia). This archive contains the full pre-print paper, reproducible Python source codes, complete CSV verification datasets, high-resolution figures, and an interactive 4-layer realtime observation dashboard (HTML/JS).

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23680140
Primary Topic
Earthquake Detection and Analysis
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Empirical Evidence of Ionospheric Total Electron Content (TEC) Precursors for Japanese Seismic Activity: A Multi-Stage Pruning and Shindo-Scaled Batch Verification

Tetsuo Ohizumi
1 links
Zenodo (CERN European Organization for Nuclear Research)
Earthquake Detection and Analysis
preprint

Empirical Evidence of Ionospheric Total Electron Content (TEC) Precursors for Japanese Seismic Activity: A Multi-Stage Pruning and Shindo-Scaled Batch Verification

Tetsuo Ohizumi
preprint en

Abstract

Empirical Evidence of Ionospheric Total Electron Content (TEC) Precursors for Japanese Seismic Activity: A Multi-Stage Pruning and Shindo-Scaled Batch Verification (Version 1.0.0) Abstract Earthquake short-term forecasting has long faced scientific skepticism due to the mechanical difficulty of directly measuring subsurface fault stresses. Here, we present empirical evidence demonstrating that localized ionospheric Total Electron Content (TEC) perturbations serve as robust pre-seismic precursors across a wide spectrum of earthquake magnitudes in Japan, ranging from moderate seismic intensity (JMA Shindo 3 / M 3.8–4.4) to catastrophic rupture (JMA Shindo 7 / M7.5 2024 Noto Peninsula Earthquake). By leveraging Global Ionosphere Maps (GIM/IONEX, 1-hour resolution) and establishing a 4-stage pseudo-signal pruning pipeline—integrating planetary geomagnetic disturbance shielding (Kp < 3.5), regional spatial differential filtering against nationwide solar fluctuations, and temporal persistence criteria (≥ 2 consecutive hours)—we successfully eliminate 100% of quiet-time false alarms. A systematic batch verification across 20 representative shallow crustal seismic events in Japan reveals: Shindo 3 Events (M3.8–4.4): 75.0% Precursor Hit Rate (6 of 8 events, average lead time 98.8 hours / ~4.1 days prior). Shindo 4 to 5-Weak Events (M4.5–5.4): 100.0% Precursor Hit Rate (7 of 7 events, average lead time 110.0 hours / ~4.6 days prior). Shindo 5-Strong to 7 Events (M5.5+): 100.0% Precursor Hit Rate (5 of 5 events, average lead time 118.5 hours / ~4.9 days prior). Overall Precursor Detection Rate: 90.0% (18 of 20 events, mean lead time 108.5 hours / ~4.5 days prior). Pre-seismic anomalies consistently emerge within a golden window of 3 to 5 days (~70–120 hours) prior to rupture, physically corresponding to micro-crack stress accumulation and positive hole (p-hole) charge release (Lithosphere-Atmosphere-Ionosphere Coupling, LAIC). This localized physical evidence also scientifically disproves popular teleconnection myths regarding distant trans-oceanic earthquake triggering (e.g. South America or Indonesia). This archive contains the full pre-print paper, reproducible Python source codes, complete CSV verification datasets, high-resolution figures, and an interactive 4-layer realtime observation dashboard (HTML/JS).

Zenodo (CERN European Organization for Nuclear Research)
Earthquake Detection and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon