Steininger, GavinDettmer, JanDosso, S.E.Holland, Charles W.2015-12-100001-4966http://hdl.handle.net/1885/54820This paper examines joint inversion of acoustic scattering and reflection data to resolve seabed interface roughness parameters (spectral strength, exponent, and cutoff) and geoacoustic profiles. Trans-dimensional (trans-D) Bayesian sampling is applied with both the number of sediment layers and the order (zeroth or first) of auto-regressive parameters in the error model treated as unknowns. A prior distribution that allows fluid sediment layers over an elastic basement in a trans-D inversion is derived and implemented. Three cases are considered: Scattering-only inversion, joint scattering and reflection inversion, and joint inversion with the trans-D auto-regressive error model. Including reflection data improves the resolution of scattering and geoacoustic parameters. The trans-D auto-regressive model further improves scattering resolution and correctly differentiates between strongly and weakly correlated residual errors.Keywords: Acoustic Scattering; Auto regressive models; Bayesian sampling; Geoacoustic parameters; Interface roughness; Joint inversion; Prior distribution; Sediment layers; Scattering; Sedimentology; Signal encoding; Inversion layers; water; acoustics; article; Bay201310.1121/1.47899302016-02-24