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Revealing forerunners on Envisat's wave mode ASAR using the Global Seismic Network ArchiMer
Husson, R.; Ardhuin, Fabrice; Collard, Fabrice; Chapron, Bertrand; Balanche, Abel.
Swells radiating across ocean basins are fingerprints of the large ocean storms that generated them, which are otherwise poorly observed. Here we analyze the signature of one swell event in the seismic noise recorded all around the Pacific and we show that it is a natural complement to the global coverage provided by the Synthetic Aperture Radar wave mode data from ENVISAT. In particular the seismic stations are much more sensitive to low frequency and amplitude signals than buoys and SAR, capturing swell forerunners a couple of days before they can be detected from space or in situ data. This information helps detect in the SAR measurements the presence of very long swell, with periods of 22 s in our case example, that were otherwise excluded. Citation:...
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Ano: 2012 URL: http://archimer.ifremer.fr/doc/00092/20328/17977.pdf
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From seismic noise to ocean wave parameters: General methods and validation ArchiMer
Ardhuin, Fabrice; Balanche, Abel; Stutzmann, E.; Obrebski, Mathias.
Seismic noise is an indirect source of information on ocean waves. Using a model of noise generation and propagation, seismic stations can be separated into those that are mostly sensitive to local sea states, and those that integrate sources from a large oceanic area. The model also provides a classification of noise-generating sea states into three classes. The analysis of Central California seismic noise data, well correlated with local waves, reveals that class I events dominate in summer, caused by a single wind-sea system, and for which ocean wave spectral levels are proportional to seismic spectral levels to an exponent b similar or equal to 0.9. In winter, noise is dominated by class II generation, for which coastal reflection is important, with a...
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Ano: 2012 URL: http://archimer.ifremer.fr/doc/00083/19443/17051.pdf
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