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This is a Quantitative Study study.

High-Precision Detection of Clock Errors in Seismograms from the Ordos Block Using Multicomponent Noise Cross Correlations

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This study shows significant clock drift in 38% of seismic stations, indicating improvements in seismic network monitoring.

A total of 72 stations exhibited significant clock drift, with an average annual anomaly rate of approximately 11.6%.
The maximum drift exceeded ±10 seconds, demonstrating the method's ability to detect changes greater than 0.5 seconds using teleseismic events.
The study combined multicomponent noise cross correlation and weighted stacking methods to estimate daily clock errors.
These findings highlight the importance of monitoring clock errors for enhancing the performance of seismic networks.

Zhou et al. (2025) studied this question.

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View Full Paper

Ask AI

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Authors

This study shows significant clock drift in 38% of seismic stations, indicating improvements in seismic network monitoring.

A total of 72 stations exhibited significant clock drift, with an average annual anomaly rate of approximately 11.6%.
The maximum drift exceeded ±10 seconds, demonstrating the method's ability to detect changes greater than 0.5 seconds using teleseismic events.
The study combined multicomponent noise cross correlation and weighted stacking methods to estimate daily clock errors.
These findings highlight the importance of monitoring clock errors for enhancing the performance of seismic networks.

Zhou et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark