Ambient noise correlations from a dense seafloor seismic observation network (S-net) offshore Honshu, Japan
Abstract
Seismic imaging and monitoring of the subducting slab where earthquakes nucleate is crucial but generally hindered by the difficulty of deploying seismic stations offshore. The S-net seismic network composed of 150 permanent seafloor seismometers offshore Honshu, Japan provides a unique opportunity to study the oceanic trench in one of the most active subductions. In this work, we study the properties of ambient seismic noise correlations using the S-net (doi:10.17598/nied.0007) stations for 3 years of continuous records from 2016 to 2019. We show results for both the microseismic frequency range (0.1-1 Hz) and the higher frequencies above 1 Hz in the quest for reconstructing surface and body-waves traveling across the network. Moreover, we developed a workflow for computing noise cross-correlations using cloud computing (AWS) and the publicly available Pycorr noise correlation code that is a stepping stone for building a community initiative for simple, efficient and versatile ambient noise correlations.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.S22A..05T
- Keywords:
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- 7212 Earthquake ground motions and engineering seismology;
- SEISMOLOGY;
- 7219 Seismic monitoring and test-ban treaty verification;
- SEISMOLOGY;
- 7255 Surface waves and free oscillations;
- SEISMOLOGY;
- 7270 Tomography;
- SEISMOLOGY