Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE.
The accurate modelling of underwater acoustic reflection from a wind-roughened ocean surface is a challenging problem. Some complicating factors are the presence of near-surface bubbles and the potential for shadowing of acoustic energy by parts of the surface itself. One essential factor, which is...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
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Acoustical Society of Australia
2012
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| Online Access: | http://www.acoustics.asn.au/conference_proceedings/AAS2012/papers/p3.pdf http://hdl.handle.net/20.500.11937/6549 |
| _version_ | 1848745107680919552 |
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| author | Jones, Adrian Maggi, Amos Bartel, David Duncan, Alexander Zinoviev, Alex |
| author2 | Terrance McMinn |
| author_facet | Terrance McMinn Jones, Adrian Maggi, Amos Bartel, David Duncan, Alexander Zinoviev, Alex |
| author_sort | Jones, Adrian |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The accurate modelling of underwater acoustic reflection from a wind-roughened ocean surface is a challenging problem. Some complicating factors are the presence of near-surface bubbles and the potential for shadowing of acoustic energy by parts of the surface itself. One essential factor, which is the subject of the present paper, is the specular reflection of coherent plane waves at an ocean-like rough surface. We tested the accuracy of the rough surface reflection model adopted by the authors, the small-slope approximation (SSA) approach as used by Williams et al. (JASA, 116, Oct. 2004). The SSA model was used to compute values of the coherent plane wave reflection loss per bounce for wind speeds between 5 and 12.5 m/s, frequencies between 1.5 and 9 kHz, and grazing angles between about 1 and 10 degrees. These values were compared to those obtained from a Monte-Carlo approach based on the Parabolic Equation (PE) method, where realistic ocean surfaces were generated based on the Pierson-Moskowitz spectrum for ocean surface heights. The SSA model compared favourably with the more rigorous PE method for most of the range of parameters considered. |
| first_indexed | 2025-11-14T06:12:06Z |
| format | Conference Paper |
| id | curtin-20.500.11937-6549 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:12:06Z |
| publishDate | 2012 |
| publisher | Acoustical Society of Australia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-65492017-01-30T10:53:53Z Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. Jones, Adrian Maggi, Amos Bartel, David Duncan, Alexander Zinoviev, Alex Terrance McMinn wind-roughened underwater bubbles acoustic modelling The accurate modelling of underwater acoustic reflection from a wind-roughened ocean surface is a challenging problem. Some complicating factors are the presence of near-surface bubbles and the potential for shadowing of acoustic energy by parts of the surface itself. One essential factor, which is the subject of the present paper, is the specular reflection of coherent plane waves at an ocean-like rough surface. We tested the accuracy of the rough surface reflection model adopted by the authors, the small-slope approximation (SSA) approach as used by Williams et al. (JASA, 116, Oct. 2004). The SSA model was used to compute values of the coherent plane wave reflection loss per bounce for wind speeds between 5 and 12.5 m/s, frequencies between 1.5 and 9 kHz, and grazing angles between about 1 and 10 degrees. These values were compared to those obtained from a Monte-Carlo approach based on the Parabolic Equation (PE) method, where realistic ocean surfaces were generated based on the Pierson-Moskowitz spectrum for ocean surface heights. The SSA model compared favourably with the more rigorous PE method for most of the range of parameters considered. 2012 Conference Paper http://hdl.handle.net/20.500.11937/6549 http://www.acoustics.asn.au/conference_proceedings/AAS2012/papers/p3.pdf Acoustical Society of Australia fulltext |
| spellingShingle | wind-roughened underwater bubbles acoustic modelling Jones, Adrian Maggi, Amos Bartel, David Duncan, Alexander Zinoviev, Alex Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. |
| title | Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. |
| title_full | Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. |
| title_fullStr | Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. |
| title_full_unstemmed | Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. |
| title_short | Comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using PE. |
| title_sort | comparison of a small slope approximation model of reflection loss at the rough ocean surface with stochastic modelling using pe. |
| topic | wind-roughened underwater bubbles acoustic modelling |
| url | http://www.acoustics.asn.au/conference_proceedings/AAS2012/papers/p3.pdf http://hdl.handle.net/20.500.11937/6549 |