Ionospheric Disturbances During the 4 December 2015, Mt. Etna Eruption

Abstract This study presents the detection and characterization of co‐volcanic ionospheric disturbances (CVIDs) associated with Mt. Etna's large‐scale lava fountain (Italy). Leveraging a dense and proximal GNSS network, we identify local Total Electron Content (TEC) perturbations extending up to 200 km south/southwest of the vent. The observed anomalies exhibit quasi‐periodic signatures with amplitudes of 0.6 TECU, periods of 15–25 min, and horizontal propagation velocities of 135–300 ms −1 , with dominant spectral power in the 0.5–1.5 mHz range, consistent with internal gravity waves. These signatures emerge gradually, 20–30 min after the seismo‐acoustic onset of the eruption, coinciding with the rise of the volcanic plume. Eruption chronology is independently constrained using seismo‐acoustic and thermal/visible imagery. Detection robustness is ensured via complementary spectral analyses (FFT and Empirical Mode Decomposition) and confirmed across multiple GNSS stations. The results suggest that open‐conduit eruptive dynamics may facilitate sustained, gravity‐dominated atmospheric forcing, generating subtle TEC disturbances that are otherwise difficult to detect under natural ionospheric variability. Comparison with prior studies, that did not detect such signals, highlights the critical role of near‐field GNSS coverage. These findings contribute to a better understanding of CVID typologies and open new avenues for integrating ionospheric observations into multi‐sensor volcanic monitoring frameworks. Further multi‐event analyses are needed to generalize the proposed mechanisms and assess their utility in hazard forecasting.

Authors

Institutions

Publication Details

Journal
Earth and Space Science
Published
2025-10-01
DOI
https://doi.org/10.1029/2025ea004214
Citations
1
Primary Topic
Ionosphere and magnetosphere dynamics
Type
article
Field-Weighted Citation Impact
1.15
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ionospheric Disturbances During the 4 December 2015, Mt. Etna Eruption

Simona Scollo, V. Carbone, Federico Ferrara, V. Capparelli et al.
1 citations
Earth and Space Science
Ionosphere and magnetosphere dynamics
1.15
article

Ionospheric Disturbances During the 4 December 2015, Mt. Etna Eruption

Simona Scollo, V. Carbone, Federico Ferrara, V. Capparelli, Michela Ravanelli, Andrea Cannata, Luigi Mereu, Alessandro Bonforte
article en
1 citations

Abstract

Abstract This study presents the detection and characterization of co‐volcanic ionospheric disturbances (CVIDs) associated with Mt. Etna's large‐scale lava fountain (Italy). Leveraging a dense and proximal GNSS network, we identify local Total Electron Content (TEC) perturbations extending up to 200 km south/southwest of the vent. The observed anomalies exhibit quasi‐periodic signatures with amplitudes of 0.6 TECU, periods of 15–25 min, and horizontal propagation velocities of 135–300 ms −1 , with dominant spectral power in the 0.5–1.5 mHz range, consistent with internal gravity waves. These signatures emerge gradually, 20–30 min after the seismo‐acoustic onset of the eruption, coinciding with the rise of the volcanic plume. Eruption chronology is independently constrained using seismo‐acoustic and thermal/visible imagery. Detection robustness is ensured via complementary spectral analyses (FFT and Empirical Mode Decomposition) and confirmed across multiple GNSS stations. The results suggest that open‐conduit eruptive dynamics may facilitate sustained, gravity‐dominated atmospheric forcing, generating subtle TEC disturbances that are otherwise difficult to detect under natural ionospheric variability. Comparison with prior studies, that did not detect such signals, highlights the critical role of near‐field GNSS coverage. These findings contribute to a better understanding of CVID typologies and open new avenues for integrating ionospheric observations into multi‐sensor volcanic monitoring frameworks. Further multi‐event analyses are needed to generalize the proposed mechanisms and assess their utility in hazard forecasting.

Earth and Space ScienceVol. 12(10)
University of Trento (IT), Istituto Nazionale di Geofisica e Vulcanologia (IT), University of Catania (IT), University of Calabria (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 16%
Ionosphere and magnetosphere dynamics
1.15
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.