Applied Ocean Physics and Engineering (AOP&E)


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Applied Ocean Physics and Engineering (AOP&E)


The Department is a major center for research in fluid mechanics, coastal processes, ocean mixing, acoustics, air-sea interaction, deep submergence, ocean systems and moorings, remote sensing, robotics, certain biological processes, image processing, signal processing and estimation, control theory, and the dynamics of ocean cables.

Recent Submissions

  • van der Hoop, Julie M.; Moore, Michael J.; Fahlman, Andreas; Bocconcelli, Alessandro; George, Clay; Jackson, Katharine; Miller, Carolyn A.; Morin, David; Pitchford, Thomas; Rowles, Teresa K.; Smith, Jamison; Zoodsma, Barb (2013-03)
    Protracted entanglement in fishing gear often leads to emaciation through reduced mobility and foraging ability, and energy budget depletion from the added drag of towing gear for months or years. We examined changes in ...
  • Duda, Timothy F. (Institute of Applied and Computational Mathematics, 2005-06)
    Internal gravity wave induced acoustic fluctuations are reviewed. It is well known that internal waves cause temporal and spatial variability above and beyond that caused by mesoscale and larger ocean heterogeneity. ...
  • Duda, Timothy F.; Collis, Jon M. (Institute of Applied and Computational Mathematics, 2007-06)
    The implementation of two- and three-dimensional acoustic receiver arrays is challenging in the ocean environment. Fixed geometry and connectivity can only be built and maintained at great expense. However, such ideal ...
  • Duda, Timothy F. (Institute of Applied and Computational Mathematics, 2011-06)
    Propagation of sound through shallow-water internal waves of various types is discussed. The anisotropy of the waves imparts an anisotropy to their effects on sound. The internal waves are of two types: Long-wavelength ...
  • Matsuno, Tetsuo; Chave, Alan D.; Jones, Alan G.; Muller, Mark R.; Evans, Rob L. (Oxford University Press on behalf of The Royal Astronomical Society, 2014-01-02)
    A robust magnetotelluric (MT) inversion algorithm has been developed on the basis of quantile-quantile (q-q) plotting with confidence band and statistical modelling of inversion residuals for the MT response function ...