Assessing Time Synchronization in Global ELF Station Networks Based on ELF Transients

This study focuses on the time synchronization between 15 Extremely Low Frequency (ELF, 3 Hz–3 kHz) stations operated by 6 scientific institutions, which is critical for accurate detection and localization of ELF transients and their corresponding source lightning stroke. After identifying the transients by applying an amplitude threshold on the filtered time series, time synchronization was assessed by comparing the time differences between transients detected at paired stations. Most stations demonstrated proper synchronization, but significant timing discrepancies were found at the Eskdalemuir (ESK) station, requiring timestamp corrections to ensure reliable future use of the data.

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Publication Details

Journal
Geophysical Observatory Reports
Published
2025-01-01
DOI
https://doi.org/10.55855/gor2024.7
Primary Topic
Network Time Synchronization Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Assessing Time Synchronization in Global ELF Station Networks Based on ELF Transients

Tamás Bozóki, Karlo Németh
Geophysical Observatory Reports
Network Time Synchronization Technologies
article

Assessing Time Synchronization in Global ELF Station Networks Based on ELF Transients

Tamás Bozóki, Karlo Németh
article en

Abstract

This study focuses on the time synchronization between 15 Extremely Low Frequency (ELF, 3 Hz–3 kHz) stations operated by 6 scientific institutions, which is critical for accurate detection and localization of ELF transients and their corresponding source lightning stroke. After identifying the transients by applying an amplitude threshold on the filtered time series, time synchronization was assessed by comparing the time differences between transients detected at paired stations. Most stations demonstrated proper synchronization, but significant timing discrepancies were found at the Eskdalemuir (ESK) station, requiring timestamp corrections to ensure reliable future use of the data.

Geophysical Observatory ReportsVol. 2023–2024
Magyar Tudományos Akadémia
Openalex Percentile: Top 96%
Network Time Synchronization Technologies
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