Abstract
Continuous seismic data analysis identifies signals related to physical
processes within the Earth or on its surface. Characterizing seismic
signals yields insights into source processes and Earth’s structural
features. Global seismic network analysis of long-period (25–100 s)
surface waves has detected seismic events not identified through
high-frequency body wave analysis. However, detecting long-lasting
monochromatic signals with narrow spectral peaks, which carry valuable
information about geological and environmental processes, remains
challenging on a global scale. We developed a coherence-based method to
characterize long-period monochromatic signals on a global scale. In
addition to signals originating from the Gulf of Guinea, Vanuatu
islands, and a submarine volcano, we observed a previously unidentified
signal originating from the Canadian Arctic, likely associated with
glacier dynamics. Our approach explores long-period monochromatic
seismic signals in continuous seismic data, providing a foundation for
future studies to characterize the physical processes generating these
signals on Earth’s surface.