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An autoregressive model with time-varying coefficients for wind fields ArchiMer
Ailliot, Pierre; Monbet, Valérie; Prevosto, Marc.
In this article, an original Markov-switching autoregressive model is proposed to describe the space-time evolution of wind fields. At first, a non-observable process is introduced in order to model the motion of the meteorological structures. Then, conditionally to this process, the evolution of the wind fields is described using autoregressive models with time-varying coefficients. The proposed model is calibrated and validated on data ill the North Atlantic.
Tipo: Text Palavras-chave: Markov switching autoregressive model; Wind fields; Space time model.
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/publication-1225.pdf
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Survey of stochastic models for wind and sea state time series ArchiMer
Monbet, Valérie; Ailliot, P; Prevosto, Marc.
The knowledge of sea state and wind conditions is of central importance for many offshore and nearshore operations. In this paper, we make a complete survey of stochastic models for sea state and wind time series. We begin with methods based on Gaussian processes, then non-parametric resampling methods for time series are introduced followed by various parametric models. We also propose an original statistical method, based on Monte Carlo goodness-of-fit tests, for model validation and comparison and this method is illustrated on an example of multivariate sea state time series. (C) 2006 Elsevier Ltd. All rights reserved.
Tipo: Text Palavras-chave: Model validation; Simulation; Nonlinear time series; Wind; Sea state.
Ano: 2007 URL: http://archimer.ifremer.fr/doc/2007/publication-2679.pdf
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