Notice

This is not the latest version of this item. The latest version can be found at:https://dspace.mit.edu/handle/1721.1/136477.2

Show simple item record

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 FJ
dc.contributor.authorWilkin, John
dc.date.accessioned2021-10-27T20:35:35Z
dc.date.available2021-10-27T20:35:35Z
dc.date.issued2019
dc.identifier.urihttps://hdl.handle.net/1721.1/136477
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.
dc.language.isoen
dc.publisherAcoustical Society of America (ASA)
dc.relation.isversionof10.1121/1.5126012
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.
dc.sourceAcoustical Society of America
dc.titleMultiscale multiphysics data-informed modeling for three-dimensional ocean acoustic simulation and prediction
dc.typeArticle
dc.relation.journalThe Journal of the Acoustical Society of America
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2020-07-30T12:18:01Z
dspace.orderedauthorsDuda, TF; Lin, Y-T; Newhall, AE; Helfrich, KR; Lynch, JF; Zhang, WG; Lermusiaux, PFJ; Wilkin, J
dspace.date.submission2020-07-30T12:18:04Z
mit.journal.volume146
mit.journal.issue3
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

VersionItemDateSummary

*Selected version