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dc.contributor.authorDuda, Timothy F.
dc.contributor.authorLin, Ying-Tsong
dc.contributor.authorNewhall, Arthur E.
dc.contributor.authorHelfrich, Karl R.
dc.contributor.authorLynch, James F.
dc.contributor.authorZhang, Weifeng Gordon
dc.contributor.authorLermusiaux, Pierre F. J.
dc.contributor.authorWilkin, John
dc.date.accessioned2022-02-15T18:06:36Z
dc.date.available2021-10-27T20:35:35Z
dc.date.available2022-02-15T18:06:36Z
dc.date.issued2019-09
dc.identifier.issn0001-4966
dc.identifier.urihttps://hdl.handle.net/1721.1/136477.2
dc.description.abstract© 2019 Acoustical Society of America. Three-dimensional (3D) underwater sound field computations have been used for a few decades to understand sound propagation effects above sloped seabeds and in areas with strong 3D temperature and salinity variations. For an approximate simulation of effects in nature, the necessary 3D sound-speed field can be made from snapshots of temperature and salinity from an operational data-driven regional ocean model. However, these models invariably have resolution constraints and physics approximations that exclude features that can have strong effects on acoustics, example features being strong submesoscale fronts and nonhydrostatic nonlinear internal waves (NNIWs). Here, work to predict NNIW fields to improve 3D acoustic forecasts using an NNIW model nested in a tide-inclusive data-assimilating regional model is reported. The work was initiated under the Integrated Ocean Dynamics and Acoustics project. The project investigated ocean dynamical processes that affect important details of sound-propagation, with a focus on those with strong intermittency (high kurtosis) that are challenging to predict deterministically. Strong internal tides and NNIW are two such phenomena, with the former being precursors to NNIW, often feeding energy to them. Successful aspects of the modeling are reported along with weaknesses and unresolved issues identified in the course of the work.en_US
dc.language.isoen
dc.publisherAcoustical Society of America (ASA)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1121/1.5126012en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceAcoustical Society of Americaen_US
dc.titleMultiscale multiphysics data-informed modeling for three-dimensional ocean acoustic simulation and predictionen_US
dc.typeArticleen_US
dc.relation.journalJournal of the Acoustical Society of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2020-07-30T12:18:01Z
dspace.orderedauthorsDuda, TF; Lin, Y-T; Newhall, AE; Helfrich, KR; Lynch, JF; Zhang, WG; Lermusiaux, PFJ; Wilkin, Jen_US
dspace.date.submission2020-07-30T12:18:04Z
mit.journal.volume146en_US
mit.journal.issue3en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work Neededen_US


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