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Acoustic scattering from density and sound speed gradients: Modeling of oceanic pycnoclines

dc.contributor.authorRoss, T.en_US
dc.contributor.authorLavery, A. C.en_US
dc.date.accessioned2013-06-19T18:03:12Z
dc.date.available2013-06-19T18:03:12Z
dc.date.issued2012-01en_US
dc.description.abstractA weak-scattering model that allows prediction of acoustic scattering from oceanic pycnoclines (and the accompanying sound speed gradients) based on hydrographic profiles is described. Model predictions, based on profiles from four locations, indicate that scattering from oceanic pycnoclines is measurable using standard scientific sonars operating at frequencies up to 200 kHz but generally only for pycnocline thicknesses less than 10 m. Accurate scattering models are key to assessing whether acoustic remote sensing can be used to map oceanic pycnoclines and for determining whether scattering from pycnoclines needs to be taken into account when estimating, for instance, zooplankton abundance from acoustic data.en_US
dc.identifier.citationRoss, T., and A. C. Lavery. 2012. "Acoustic scattering from density and sound speed gradients: Modeling of oceanic pycnoclines." Journal of the Acoustical Society of America 131(1): 54-EL60. doi:10.1121/1.3669394 1© 2012 Acoustical Society of Americaen_US
dc.identifier.issn0001-4966en_US
dc.identifier.issue1en_US
dc.identifier.startpage54en_US
dc.identifier.urihttp://dx.doi.org/10.1121/1.3669394en_US
dc.identifier.urihttp://hdl.handle.net/10222/27212
dc.identifier.volume131en_US
dc.publisherPublished for the Acoustical Society of America through the American Institute of Physicsen_US
dc.relation.ispartofJournal of the Acoustical Society of Americaen_US
dc.rights.holder© 2012 Acoustical Society of America
dc.subjectAcoustic wave scatteringen_US
dc.subjectAcoustic wave velocityen_US
dc.subjectHydrophonesen_US
dc.subjectOceanographic equipmenten_US
dc.subjectOceanographic techniquesen_US
dc.subjectRemote sensingen_US
dc.subjectSonaren_US
dc.subjectUnderwater sounden_US
dc.titleAcoustic scattering from density and sound speed gradients: Modeling of oceanic pycnoclinesen_US
dc.typearticleen_US

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