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Real time visualization of thermohaline finestructure using Seismic Offset Groups

By Grant Buffett, Josep Lluís Pelegrí, Josep de la Puente and Ramón Carbonell


13 pages, 6 figures, supplementary material related to this article can be found online at oceanography is based on the passage of a regularly repeating acoustic impulsive source and an acquisition streamer along the surface of the ocean, and on summing together all signals reflected from temperature and salinity interfaces in the ocean (where there are acoustic impedance contrasts). Due to the inherent redundancy of the method, random noise is attenuated, while signal is preserved; however, if the original signal-to-noise ratio is large enough, one need not use data from the entire streamer to create a 2D profile. A processing scheme is here devised to obtain consecutive images, known as stacks, of the structure of the water column. The scheme, named Seismic Offset Groups (SOG), consists in splitting the data from the whole streamer at a given geographical position into data produced by different streamer subsets. The method is illustrated by partitioning data from a 5-km long streamer into 7 offset groups separated by 3.5 min in time, thereby imaging the same seafloor-referenced location over a period of 21 min. As the streamer passes over a fixed geographical point, motions within the water column are observed. Each stack, created with a subset of the complete streamer, can therefore be considered an image of the water column at a particular time step (animation frame). In this way each image shows a different thermohaline fabric and the animation allows us to visualize internal ocean motionsThe authors would like to thank the following for financing this research: GO Project (NEST-2003-1 adventure, grant No. FP6015603), Generalitat de Catalunya (grant No. 2005SGR00874), Spanish government through the Ministerio de Educación y Ciencias (grant No. CGL200404623), and Marie Curie Intra-European Fellowship (IEF) (grant No. FP7-PEOPLE-2010-IEF)Peer Reviewe

Publisher: 'Elsevier BV'
Year: 2014
DOI identifier: 10.1016/j.mio.2012.07.003
OAI identifier:
Provided by: Digital.CSIC
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