.png){kind=icon}
.png){kind=icon}
Return
Earthquake catalog and continuous waveforms from a two-week distributed acoustic sensing experiment on Kefalonia Island; Greece
.png){kind=icon}
OA
AI
G
E
M
S
G
F
E
E
R
DOI：10.5194/essd-18-4677-2026.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Abstract. In this work; we present a new; high-resolution earthquake catalog for the Kefalonia region; Greece; together with the distributed acoustic sensing (DAS) waveform dataset used for its construction (https://doi.org/10.60517/cv43p1601; Bocchini et al.; 2025; https://doi.org/10.5281/zenodo.20558686; Bocchini; 2026). We build the catalog from DAS data recorded between 1 August 2024; 23:00 UTC and 15 August 2024; 23:00 UTC; combined with open-access seismic-station recordings from the Hellenic Unified Seismic Network (HUSN). The DAS dataset consists of continuous strain measurements acquired along a 15 km long telecommunications fiber-optic cable connecting northern Kefalonia and Ithaki. We use a semblance-based detector on the DAS waveforms to identify 5734 earthquakes within ∼50 km of the cable origin. We jointly locate 356 high-SNR (SNR >12 dB) events with DAS and seismic stations and calculate their local magnitudes from seismic records. We then apply waveform cross-correlation to match unlocated detections with the most similar template events and estimate relative magnitudes from amplitude ratios to enhance the newly constructed catalog. Enhancement adds 2515 earthquakes; resulting in 2871 events with assigned locations and magnitudes and represents a ∼32-fold increase in the number of earthquakes with respect to the official National Observatory of Athens (NOA) catalog. Most events (2790) cluster within a ∼5 km radius offshore northwest of Kefalonia; where seismicity rates reach >100 events per hour. We achieve a ∼38-fold increase in the number of earthquakes with respect to the official catalog from NOA in the region encompassing the earthquake cluster northwest of Kefalonia. Our dataset provides a detailed spatio-temporal view of seismicity in a region with limited station coverage and demonstrates the value of integrating DAS with conventional seismic networks to monitor intense earthquake sequences. The combination of high seismicity and open-access data from the HUSN makes this DAS dataset particularly valuable for the seismological community. We provide a 2-week-long catalog; the full detection list (local and distant events and false detections); and two weeks of continuous DAS recordings. Possible applications of the datasets include testing and benchmarking DAS processing algorithms for tectonic earthquakes; as well as studies of physical processes associated with complex seismic sequences.
Journal
IF:
11.6
Papers:
2.2K
Citations:
2.0W
Organization
Cited Papers