Trans-dimensional Markov chain Monte Carlo inversion of sound speed and temperature: Application to Yellow Sea multichannel seismic data
| Autor: | Yongchae Cho, Joocheul Noh, Hyunggu Jun |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
Data processing 010504 meteorology & atmospheric sciences 010604 marine biology & hydrobiology Inversion (meteorology) Markov chain Monte Carlo Geophysics Aquatic Science Structural basin Oceanography 01 natural sciences Physics::Geophysics symbols.namesake Sea surface temperature Speed of sound symbols Seawater Bathythermograph Physics::Atmospheric and Oceanic Physics Ecology Evolution Behavior and Systematics Geology 0105 earth and related environmental sciences |
| Zdroj: | Journal of Marine Systems. 197:103180 |
| ISSN: | 0924-7963 |
| DOI: | 10.1016/j.jmarsys.2019.05.006 |
| Popis: | Understanding the oceanographic features of the sea water is important for ecosystem studies. In seismic oceanography, structures are imaged and physical properties, such as the sound speed, temperature, or salinity, are calculated using multichannel seismic data. These data provide high lateral resolution information at the full depth of the ocean. However, when the sea water depth is shallow, such as in shallow basins, conventional seismic oceanographic data processing techniques might not provide accurate inversion results for oceanographic properties or accurate images of the sea water structures. In this study, we use the trans-dimensional Markov chain Monte Carlo inversion technique, which assumes both the dimension and properties of the model as unknowns in inversion problems, to estimate the sound speed and define the locations of layer interfaces of the Yellow Sea, which is a semi-enclosed shallow basin. The ocean temperature is calculated using the estimated sound speed and the sound speed-temperature relationship. The estimated sound speed and temperature are compared with the true sound speed and temperature obtained from an expendable bathythermograph. The result shows that the proposed algorithm correctly estimates the sound speed and temperature and accurately images the oceanic structure. As a result, the trans-dimensional Markov chain Monte Carlo inversion can accurately identify the distribution of the Yellow Sea bottom cold water. |
| Databáze: | OpenAIRE |
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