Forecasting near-surface ocean winds with Kalman filter techniques |
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Authors: | Anders Malmberg Ulla Holst Jan Holst |
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Institution: | Division of Mathematical Statistics, Centre for Mathematical Sciences, Lund University, Box 118, SE-221 00 Lund, Sweden |
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Abstract: | In this paper a statistical forecasting model designed for bounded areas of near-surface ocean wind speeds is implemented.Dimension reduction is achieved by decomposing the covariance structure into one large-scale and one small-scale component using empirical orthogonal functions. The large-scale component is modelled with an AR process and forecasts are calculated by applying a Kalman filter.The model is suited for stable weather situations as for unsteady situations it requires more frequent wind information. From the prediction variance fields it is possible to identify where unexpected weather usually enters the area. |
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Keywords: | Dimension reduction Principal components Space-time Kalman filtering Forecasting Near-surface ocean winds |
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