Joint time/frequency-domain inversion of reflection data for seabed geoacoustic profiles and uncertainties

Jan Dettmer, Stan E. Dosso, Charles W. Holland

Research output: Contribution to journalArticlepeer-review

36 Scopus citations


This paper develops a joint time/frequency-domain inversion for high-resolution single-bounce reflection data, with the potential to resolve fine-scale profiles of sediment velocity, density, and attenuation over small seafloor footprints (∼100 m). The approach utilizes sequential Bayesian inversion of time- and frequency-domain reflection data, employing ray-tracing inversion for reflection travel times and a layer-packet stripping method for spherical-wave reflection-coefficient inversion. Posterior credibility intervals from the travel-time inversion are passed on as prior information to the reflection-coefficient inversion. Within the reflection-coefficient inversion, parameter information is passed from one layer packet inversion to the next in terms of marginal probability distributions rotated into principal components, providing an efficient approach to (partially) account for multi-dimensional parameter correlations with one-dimensional, numerical distributions. Quantitative geoacoustic parameter uncertainties are provided by a nonlinear Gibbs sampling approach employing full data error covariance estimation (including nonstationary effects) and accounting for possible biases in travel-time picks. Posterior examination of data residuals shows the importance of including data covariance estimates in the inversion. The joint inversion is applied to data collected on the Malta Plateau during the SCARAB98 experiment.

Original languageEnglish (US)
Pages (from-to)1306-1317
Number of pages12
JournalJournal of the Acoustical Society of America
Issue number3
StatePublished - 2008

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Acoustics and Ultrasonics


Dive into the research topics of 'Joint time/frequency-domain inversion of reflection data for seabed geoacoustic profiles and uncertainties'. Together they form a unique fingerprint.

Cite this