Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters
Autonomous underwater vehicles are improving and expanding in situ observations of sea ice for the validation of satellite remote sensing and climate models. Missions under sea ice, particularly over large distances (up to 100 km) away from the immediate vicinity of a ship or base, require accurate...
Published in: | Deep Sea Research Part II: Topical Studies in Oceanography |
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Online Access: | https://doi.org/10.1016/j.dsr2.2016.04.026 http://ecite.utas.edu.au/111740 |
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ftunivtasecite:oai:ecite.utas.edu.au:111740 2023-05-15T13:49:03+02:00 Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters Alexander, P Duncan, A Bose, N Williams, G 2016 https://doi.org/10.1016/j.dsr2.2016.04.026 http://ecite.utas.edu.au/111740 en eng Pergamon Press http://dx.doi.org/10.1016/j.dsr2.2016.04.026 Alexander, P and Duncan, A and Bose, N and Williams, G, Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters, Deep-Sea Research II, 131 pp. 84-95. ISSN 0967-0645 (2016) [Refereed Article] http://ecite.utas.edu.au/111740 Engineering Maritime Engineering Ocean Engineering Refereed Article PeerReviewed 2016 ftunivtasecite https://doi.org/10.1016/j.dsr2.2016.04.026 2019-12-13T22:12:02Z Autonomous underwater vehicles are improving and expanding in situ observations of sea ice for the validation of satellite remote sensing and climate models. Missions under sea ice, particularly over large distances (up to 100 km) away from the immediate vicinity of a ship or base, require accurate acoustic communication for monitoring, emergency response and some navigation systems. We investigate the propagation of acoustic signals in the Antarctic seasonal ice zone using the BELLHOP model, examining the influence of ocean and sea ice properties. We processed available observations from around Antarctica to generate input variables such as sound speed, surface reflection coefficient ( R ) and roughness parameters. The results show that changes in the sound speed profile make the most significant difference to the propagation of the direct path signal. The inclusion of the surface reflected signals from a flat ice surface was found to greatly decrease the transmission loss with range. When ice roughness was added, the transmission loss increased with roughness, in a manner similar to the direct path transmission loss results. The conclusions of this work are that: (1) the accuracy of acoustic modelling in this environment is greatly increased by using realistic sound speed data; (2) a risk averse ranging model would use only the direct path signal transmission; and (3) in a flat ice scenario, much greater ranges can be achieved if the surface reflected transmission paths are included. As autonomous missions under sea ice increase in scale and complexity, it will be increasingly important for operational procedures to include effective modelling of acoustic propagation with representative environmental data. Article in Journal/Newspaper Antarc* Antarctic Antarctica Sea ice eCite UTAS (University of Tasmania) Antarctic The Antarctic Deep Sea Research Part II: Topical Studies in Oceanography 131 84 95 |
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eCite UTAS (University of Tasmania) |
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language |
English |
topic |
Engineering Maritime Engineering Ocean Engineering |
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Engineering Maritime Engineering Ocean Engineering Alexander, P Duncan, A Bose, N Williams, G Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters |
topic_facet |
Engineering Maritime Engineering Ocean Engineering |
description |
Autonomous underwater vehicles are improving and expanding in situ observations of sea ice for the validation of satellite remote sensing and climate models. Missions under sea ice, particularly over large distances (up to 100 km) away from the immediate vicinity of a ship or base, require accurate acoustic communication for monitoring, emergency response and some navigation systems. We investigate the propagation of acoustic signals in the Antarctic seasonal ice zone using the BELLHOP model, examining the influence of ocean and sea ice properties. We processed available observations from around Antarctica to generate input variables such as sound speed, surface reflection coefficient ( R ) and roughness parameters. The results show that changes in the sound speed profile make the most significant difference to the propagation of the direct path signal. The inclusion of the surface reflected signals from a flat ice surface was found to greatly decrease the transmission loss with range. When ice roughness was added, the transmission loss increased with roughness, in a manner similar to the direct path transmission loss results. The conclusions of this work are that: (1) the accuracy of acoustic modelling in this environment is greatly increased by using realistic sound speed data; (2) a risk averse ranging model would use only the direct path signal transmission; and (3) in a flat ice scenario, much greater ranges can be achieved if the surface reflected transmission paths are included. As autonomous missions under sea ice increase in scale and complexity, it will be increasingly important for operational procedures to include effective modelling of acoustic propagation with representative environmental data. |
format |
Article in Journal/Newspaper |
author |
Alexander, P Duncan, A Bose, N Williams, G |
author_facet |
Alexander, P Duncan, A Bose, N Williams, G |
author_sort |
Alexander, P |
title |
Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters |
title_short |
Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters |
title_full |
Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters |
title_fullStr |
Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters |
title_full_unstemmed |
Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters |
title_sort |
modelling acoustic propagation beneath antarctic sea ice using measured environmental parameters |
publisher |
Pergamon Press |
publishDate |
2016 |
url |
https://doi.org/10.1016/j.dsr2.2016.04.026 http://ecite.utas.edu.au/111740 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Sea ice |
genre_facet |
Antarc* Antarctic Antarctica Sea ice |
op_relation |
http://dx.doi.org/10.1016/j.dsr2.2016.04.026 Alexander, P and Duncan, A and Bose, N and Williams, G, Modelling acoustic propagation beneath Antarctic sea ice using measured environmental parameters, Deep-Sea Research II, 131 pp. 84-95. ISSN 0967-0645 (2016) [Refereed Article] http://ecite.utas.edu.au/111740 |
op_doi |
https://doi.org/10.1016/j.dsr2.2016.04.026 |
container_title |
Deep Sea Research Part II: Topical Studies in Oceanography |
container_volume |
131 |
container_start_page |
84 |
op_container_end_page |
95 |
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1766250675893698560 |