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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ftoslouniv:oai:www.duo.uio.no:10852/62193 2023-05-15T15:39:03+02:00 Acoustic waveform inversion for ocean turbulence Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian 2017-09-27T16:56:16Z http://hdl.handle.net/10852/62193 http://urn.nb.no/URN:NBN:no-64783 https://doi.org/10.1175/JPO-D-16-0236.1 EN eng American Meteorological Society NFR/223272 http://urn.nb.no/URN:NBN:no-64783 Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian . Acoustic waveform inversion for ocean turbulence. Journal of Physical Oceanography. 2017, 47(6), 1473-1491 http://hdl.handle.net/10852/62193 1499121 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Physical Oceanography&rft.volume=47&rft.spage=1473&rft.date=2017 Journal of Physical Oceanography 47 6 1473 1491 http://dx.doi.org/10.1175/JPO-D-16-0236.1 URN:NBN:no-64783 Fulltext https://www.duo.uio.no/bitstream/handle/10852/62193/2/minakov_etal2017jpo.pdf 0022-3670 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2017 ftoslouniv https://doi.org/10.1175/JPO-D-16-0236.1 2020-06-21T08:51:46Z 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. This research was originally published in the Journal of Oceanography. © 2017 American Meteorological Society Article in Journal/Newspaper Barents Sea Northeast Atlantic Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Barents Sea Journal of Physical Oceanography 47 6 1473 1491 |
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Open Polar |
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Universitet i Oslo: Digitale utgivelser ved UiO (DUO) |
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ftoslouniv |
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. This research was originally published in the Journal of Oceanography. © 2017 American Meteorological Society |
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 |
2017 |
url |
http://hdl.handle.net/10852/62193 http://urn.nb.no/URN:NBN:no-64783 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 |
0022-3670 |
op_relation |
NFR/223272 http://urn.nb.no/URN:NBN:no-64783 Minakov, Alexander Keers, Henk Kolyukhin, Dmitriy Tengesdal, Hans Christian . Acoustic waveform inversion for ocean turbulence. Journal of Physical Oceanography. 2017, 47(6), 1473-1491 http://hdl.handle.net/10852/62193 1499121 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Physical Oceanography&rft.volume=47&rft.spage=1473&rft.date=2017 Journal of Physical Oceanography 47 6 1473 1491 http://dx.doi.org/10.1175/JPO-D-16-0236.1 URN:NBN:no-64783 Fulltext https://www.duo.uio.no/bitstream/handle/10852/62193/2/minakov_etal2017jpo.pdf |
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_ |
1766370492993765376 |