1. Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model.
- Author
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Sato, Toshinori, Shibata, Saki, Murata, Koichi, Usui, Norihisa, Shiobara, Hajime, Yamada, Tomoaki, and Shinohara, Masanao
- Subjects
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SLOW earthquakes , *OCEAN bottom , *VERTICAL motion , *PRESSURE gages , *ODORANT-binding proteins - Abstract
Many slow slip events (SSEs) occur beneath the ocean, and continuous ocean‐bottom pressure gauge (OBP) observations provide useful data. OBPs record both oceanic variations and crustal movements, so we developed a multi‐channel singular spectrum analysis method to remove oceanic variations and applied our method to OBPs and oceanic model data. Then components of the oceanic model with good correlations to the OBP data were subtracted from the observed data. This method compensates for the incompleteness of the oceanic model and removes oceanic variations better than use of the original model. We applied the method to OBP data for the 2018 Boso, Japan, SSE to estimate its slip distribution. Comparing slip distributions obtained with and without the OBP data, we found that the distribution obtained using OBP data extended further offshore, and the offshore estimation error was smaller. Our study shows that offshore observations using OBPs are important for characterizing SSEs. Plain Language Summary: Slow slip events (SSEs) occur when faults slip slowly without generating seismic waves. Because most SSEs occur under the ocean, continuous observations by ocean‐bottom pressure instruments (OBPs) provide useful data. OBPs record both oceanic changes and seafloor movements. To remove the oceanic changes and more clearly observe seafloor movements, we developed a signal processing method to extract similar components from multiple time series. We applied our method to OBP data and oceanic model data, then subtracted the components of the oceanic model that match the OBP data from the observed data. This method removed the oceanic changes from the OBP data better than use of the original oceanic model alone. We applied this method to OBP data for the 2018 Boso, Japan, SSE and used vertical motions in the OBP data to estimate the slip distribution. The distribution obtained with the OBP data extended further offshore and was more accurate than that obtained without the OBP data. This study shows that observations of the ocean bottom obtained with OBPs are important for characterizing SSEs. Key Points: We removed oceanic variations from ocean‐bottom pressure data using a reconstructed oceanic model, achieving ±4 mm observed accuracyThe reconstructed oceanic model includes only components with good correlations between observed data and the oceanic modelUse of the ocean‐bottom pressure data and the proposed method improved the accuracy of the slow slip distribution in offshore areas [ABSTRACT FROM AUTHOR]
- Published
- 2024
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