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Probabilistic two-dimensional water-column and seabed inversion with self-adapting parameterizations

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dc.contributor.authorDettmer, Jan
dc.contributor.authorDosso, S.E.
dc.date.accessioned2015-12-10T22:29:10Z
dc.date.issued2013
dc.date.updated2016-02-24T10:29:27Z
dc.description.abstractThis paper develops a probabilistic two-dimensional (2D) inversion for geoacoustic seabed and water-column parameters in a strongly range-dependent environment. Range-dependent environments in shelf and shelf-break regions are of increasing importance to
dc.identifier.issn0001-4966
dc.identifier.urihttp://hdl.handle.net/1885/54783
dc.publisherAcoustical Society of America
dc.sourceJournal of the Acoustical Society of America
dc.subjectKeywords: Complex environments; Hierarchical Bayesian models; Parabolic Equations; Parameter estimate; Population Monte Carlo; Proposal distribution; Seabed inversion; Source location; Acoustic fields; Bayesian networks; Importance sampling; Markov processes; Param
dc.titleProbabilistic two-dimensional water-column and seabed inversion with self-adapting parameterizations
dc.typeJournal article
local.bibliographicCitation.issue5
local.bibliographicCitation.lastpage2623
local.bibliographicCitation.startpage2612
local.contributor.affiliationDettmer, Jan, College of Physical and Mathematical Sciences, ANU
local.contributor.affiliationDosso, S.E., University of Victoria
local.contributor.authoruidDettmer, Jan, u5259635
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor040407 - Seismology and Seismic Exploration
local.identifier.absfor040599 - Oceanography not elsewhere classified
local.identifier.absseo970104 - Expanding Knowledge in the Earth Sciences
local.identifier.absseo810108 - Navy
local.identifier.absseo969902 - Marine Oceanic Processes (excl. climate related)
local.identifier.ariespublicationu4027924xPUB310
local.identifier.citationvolume133
local.identifier.doi10.1121/1.4795804
local.identifier.scopusID2-s2.0-84877591217
local.type.statusPublished Version

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