Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model
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...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-11-01
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| Series: | Geophysical Research Letters |
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| Online Access: | https://doi.org/10.1029/2024GL110406 |
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| author | Toshinori Sato Saki Shibata Koichi Murata Norihisa Usui Hajime Shiobara Tomoaki Yamada Masanao Shinohara |
| author_facet | Toshinori Sato Saki Shibata Koichi Murata Norihisa Usui Hajime Shiobara Tomoaki Yamada Masanao Shinohara |
| author_sort | Toshinori Sato |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-8bf1ecded4cc45caae224dca60eac8dc |
| institution | DOAJ |
| issn | 0094-8276 1944-8007 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geophysical Research Letters |
| spelling | doaj-art-8bf1ecded4cc45caae224dca60eac8dc2025-08-20T03:02:07ZengWileyGeophysical Research Letters0094-82761944-80072024-11-015121n/an/a10.1029/2024GL110406Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic ModelToshinori Sato0Saki Shibata1Koichi Murata2Norihisa Usui3Hajime Shiobara4Tomoaki Yamada5Masanao Shinohara6Graduate School of Science Chiba University Chiba JapanFaculty of Science Chiba University Chiba JapanGraduate School of Science Chiba University Chiba JapanMeteorological Research Institute Tsukuba JapanEarthquake Research Institute University of Tokyo Tokyo JapanEarthquake Research Institute University of Tokyo Tokyo JapanEarthquake Research Institute University of Tokyo Tokyo JapanAbstract 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.https://doi.org/10.1029/2024GL110406ocean bottom pressure gaugeoceanic modelmulti‐channel singular spectrum analysisslow slip |
| spellingShingle | Toshinori Sato Saki Shibata Koichi Murata Norihisa Usui Hajime Shiobara Tomoaki Yamada Masanao Shinohara Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model Geophysical Research Letters ocean bottom pressure gauge oceanic model multi‐channel singular spectrum analysis slow slip |
| title | Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model |
| title_full | Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model |
| title_fullStr | Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model |
| title_full_unstemmed | Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model |
| title_short | Estimating Vertical Movement and Slip Distribution During the 2018 Boso, Japan, Slow Slip Event From Ocean Bottom Pressure Gauge Data and an Oceanic Model |
| title_sort | estimating vertical movement and slip distribution during the 2018 boso japan slow slip event from ocean bottom pressure gauge data and an oceanic model |
| topic | ocean bottom pressure gauge oceanic model multi‐channel singular spectrum analysis slow slip |
| url | https://doi.org/10.1029/2024GL110406 |
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