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Signal processing applied to ocean hydrodynamics


Signal processing applied to ocean hydrodynamics: wave dissipation and nonlinear interactions via Fourier and wavelet transforms. Juan F. Paniagua-Arroyave. Ph.D. Candidate, Geomorphology Laboratory, Department of Geological Sciences, University of Florida, Gainesville, FL, USA Professor in Formation, Marine Sciences Group, Department of Earth Sciences, EAFIT University, Medellin, Antioquia, Colombia. Enero 30 de 2017
Abstract: Field-oriented studies in nearshore physics typically comprise the analysis of ocean waves. These analyses are based on the direct water motion measuring and subsequent signal processing of discrete data. For example, Fourier and wavelet transforms of spatially-fixed time series of water pressure and velocity allow the quantification of wave statistics (height, period, and direction), and the characterization of wave dissipation and nonlinear interactions that exert control on the energy balance and particulate transport. This talk focus on analyses performed to data collected at the inner-shelf near Cape Canaveral, Florida. Three processes are considered: oscillations at tidal (periods of 12 and 24 hours), infragravity (periods between 20 and 500 s), and sea-swell (periods between 3 and 20 s) frequencies. Our results highlight the influence of inner- shelf complicated topography on the sea-swell transformation and dissipation, as well as on the interaction between tidal and infragravity motions. Signal processing techniques applied to nearshore studies decisively inform communities regarding coastal hazards such as erosion and flooding, and help scientists in exploring connections among processes that remain not well understood.

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