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Bivariate simulation of non stationary and non Gaussian observed processes - Application to sea state parameters ArchiMer
Monbet, Valerie; Prevosto, Marc.
A method for artificially generating operational sea state histories has been developed. This is a distribution free method to simulate bivariate non stationary and non Gaussian random processes. This method is applied to the simulation of the bivariate process (H-s, T-p) of sea state parameters. The time series respects the physical constraints existing between the significant wave height and the peak period. Furthermore, we show that the persistence properties of the simulations match to those of the observations.
Tipo: Text Palavras-chave: Bivariate simulation; Non Gaussian processes; Wave data; Non parametric simulation.
Ano: 2001 URL: http://archimer.ifremer.fr/doc/2001/publication-4343.pdf
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Space-time models for moving fields with an application to significant wave height fields ArchiMer
Ailliot, Pierre; Baxevani, Anastassia; Cuzol, Anne; Monbet, Valerie; Raillard, Nicolas.
The surface of the ocean, and so such quantities as the significant wave height, equation image, can be thought of as a random surface that develops over time. In this paper, we explore certain types of random fields in space and time, with and without dynamics that may or may not be driven by a physical law, as models for the significant wave height. Reanalysis data is used to estimate the sea-state motion which is modeled as a hidden Markov chain in a state space framework by means of an AR(1) process or in the presence of the dispersion relation. Parametric covariance models with and without dynamics are fitted to reanalysis and satellite data and compared to the empirical covariance functions. The derived models have been validated against satellite...
Tipo: Text Palavras-chave: Space-time model; Significant wave height; State-space models.
Ano: 2011 URL: http://archimer.ifremer.fr/doc/00363/47443/47472.pdf
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Evolution morphodynamique cross-shore d’un estran vaseux ArchiMer
Monbet, Valerie; Maisondieu, Christophe; Le Hir, Pierre.
The main goal of this study consists in evaluating the combined effect of cross-shore waves and current on the long term evolution of a mud flat profile. An original method is used to create a database of realistic wind fields and sea states. These data are applied to a numerical model of sediment transport and morphological changes. A description of long term simulations is proposed.
Tipo: Text Palavras-chave: Morphodynamique; Estran vaseux; Courant de marée; États de mer; Mer du vent.
Ano: 2006 URL: http://archimer.ifremer.fr/doc/00203/31429/29824.pdf
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Statistiques du comportement de systèmes dynamiques non linéaires - Application à la tenue à la mer de navires rapides ArchiMer
Monbet, Valerie.
In this thesis, we propose a method to estimate the mean number of level upcrossings for the degrees of freedom (and/or their first and second derivatives) of a structure submitted to random excitation such as wave forces. Although this method could be applied to several types of systems, we are especially interested here in the study of the behaviour of an high speed ship for the comfort of passengers. The non linear modelization of the system and the representation of sea waves as a Gaussian stationnary process allows to have a different approach of problems like seakeeping than purely hydrodynamic and deterministic methods. Criteria of comfort may be given by statistics of the number of level upcrossings and a statistical analysis allows, by describing...
Tipo: Text Palavras-chave: Comfort; High speed ship; Adaptative estimation; Non parametrical estimation; Level up crossing; Non linear stochastique oscillator; Confort; Navire rapide; Estimation adaptative; Estimation non parametrique; Franchissement de niveau; Oscillateur non linéaire stochastique.
Ano: 1996 URL: http://archimer.ifremer.fr/doc/1996/these-480.pdf
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Dynamical partitioning of directional ocean wave spectra ArchiMer
Ailliot, Pierre; Maisondieu, Christophe; Monbet, Valerie.
Directional wave spectra generally exhibit several peaks due to the coexistence of wind sea generated by local wind conditions and swells originating from distant weather systems. This paper proposes a new algorithm for partitioning such spectra and retrieving the various systems which compose a complex sea-state. It is based on a sequential Monte-Carlo algorithm which allows to follow the time evolution of the various systems. The proposed methodology is validated on both synthetic and real spectra and the results are compared with a method commonly used in the literature.
Tipo: Text Palavras-chave: Partitioning algorithm; Directional wave spectrum; Sequential Monte Carlo algorithm.
Ano: 2013 URL: http://archimer.ifremer.fr/doc/00134/24563/22688.pdf
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