Acoustic waveform inversion for ocean turbulence
The seismic oceanography method is based on extracting and stacking the low-frequency acoustic energy scattered by the ocean heterogeneity. However, a good understanding on how this acoustic wavefield is affected by physical processes in the ocean is still lacking. In this work an acoustic waveform...
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American Meteorological Society
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ftunivbergen:oai:bora.uib.no:1956/19282 2023-05-15T15:39:01+02:00 Acoustic waveform inversion for ocean turbulence Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian 2018-02-10T14:27:24Z application/pdf https://hdl.handle.net/1956/19282 https://doi.org/10.1175/jpo-d-16-0236.1 eng eng American Meteorological Society Norges forskningsråd: 223272 urn:issn:0022-3670 urn:issn:1520-0485 https://hdl.handle.net/1956/19282 https://doi.org/10.1175/jpo-d-16-0236.1 cristin:1499121 Copyright 2017 American Meteorological Society Journal of Physical Oceanography Peer reviewed Journal article 2018 ftunivbergen https://doi.org/10.1175/jpo-d-16-0236.1 2023-03-14T17:39:29Z The seismic oceanography method is based on extracting and stacking the low-frequency acoustic energy scattered by the ocean heterogeneity. However, a good understanding on how this acoustic wavefield is affected by physical processes in the ocean is still lacking. In this work an acoustic waveform modeling and inversion method is developed and applied to both synthetic and real data. In the synthetic example, the temperature field is simulated as a homogeneous Gaussian isotropic random field with the Kolmogorov–Obukhov spectrum superimposed on a background stratified ocean structure. The presented full waveform inversion method is based on the ray-Born approximation. The synthetic seismograms computed using the ray-Born scattering method closely match the seismograms produced with a more computationally expensive finite-difference method. The efficient solution to the inverse problem is provided by the multiscale nonlinear inversion approach that is specifically stable with respect to noise. Full waveform inversion tests are performed using both the stationary and time-dependent sound speed models. These tests show that the method provides a reliable reconstruction of both the spatial sound speed variation and the theoretical spectrum due to fully developed turbulence. Finally, the inversion approach is applied to real seismic reflection data to determine the heterogeneous sound speed structure at the west Barents Sea continental margin in the northeast Atlantic. The obtained model illustrates in more detail the processes of diapycnal mixing near the continental slope. publishedVersion Article in Journal/Newspaper Barents Sea Northeast Atlantic University of Bergen: Bergen Open Research Archive (BORA-UiB) Barents Sea Journal of Physical Oceanography 47 6 1473 1491 |
institution |
Open Polar |
collection |
University of Bergen: Bergen Open Research Archive (BORA-UiB) |
op_collection_id |
ftunivbergen |
language |
English |
description |
The seismic oceanography method is based on extracting and stacking the low-frequency acoustic energy scattered by the ocean heterogeneity. However, a good understanding on how this acoustic wavefield is affected by physical processes in the ocean is still lacking. In this work an acoustic waveform modeling and inversion method is developed and applied to both synthetic and real data. In the synthetic example, the temperature field is simulated as a homogeneous Gaussian isotropic random field with the Kolmogorov–Obukhov spectrum superimposed on a background stratified ocean structure. The presented full waveform inversion method is based on the ray-Born approximation. The synthetic seismograms computed using the ray-Born scattering method closely match the seismograms produced with a more computationally expensive finite-difference method. The efficient solution to the inverse problem is provided by the multiscale nonlinear inversion approach that is specifically stable with respect to noise. Full waveform inversion tests are performed using both the stationary and time-dependent sound speed models. These tests show that the method provides a reliable reconstruction of both the spatial sound speed variation and the theoretical spectrum due to fully developed turbulence. Finally, the inversion approach is applied to real seismic reflection data to determine the heterogeneous sound speed structure at the west Barents Sea continental margin in the northeast Atlantic. The obtained model illustrates in more detail the processes of diapycnal mixing near the continental slope. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian |
spellingShingle |
Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian Acoustic waveform inversion for ocean turbulence |
author_facet |
Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian |
author_sort |
Minakov, Alexander |
title |
Acoustic waveform inversion for ocean turbulence |
title_short |
Acoustic waveform inversion for ocean turbulence |
title_full |
Acoustic waveform inversion for ocean turbulence |
title_fullStr |
Acoustic waveform inversion for ocean turbulence |
title_full_unstemmed |
Acoustic waveform inversion for ocean turbulence |
title_sort |
acoustic waveform inversion for ocean turbulence |
publisher |
American Meteorological Society |
publishDate |
2018 |
url |
https://hdl.handle.net/1956/19282 https://doi.org/10.1175/jpo-d-16-0236.1 |
geographic |
Barents Sea |
geographic_facet |
Barents Sea |
genre |
Barents Sea Northeast Atlantic |
genre_facet |
Barents Sea Northeast Atlantic |
op_source |
Journal of Physical Oceanography |
op_relation |
Norges forskningsråd: 223272 urn:issn:0022-3670 urn:issn:1520-0485 https://hdl.handle.net/1956/19282 https://doi.org/10.1175/jpo-d-16-0236.1 cristin:1499121 |
op_rights |
Copyright 2017 American Meteorological Society |
op_doi |
https://doi.org/10.1175/jpo-d-16-0236.1 |
container_title |
Journal of Physical Oceanography |
container_volume |
47 |
container_issue |
6 |
container_start_page |
1473 |
op_container_end_page |
1491 |
_version_ |
1766370466822356992 |