Identification of wind stress on shallow water surfaces by optimal smoothing |
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Authors: | A. W. Heemink |
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Affiliation: | (1) Tidal Waters Division, Rijkswaterstaat, P.O. Box 20907, 2500 EX The Hague, The Netherlands |
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Abstract: | Using the state space approach, an on-line filter procedure for combined wind stress identification and tidal flow forecasting is developed. The stochastic dynamic approach is based on the linear twodimensional shallow water equations. Using a finite difference scheme, a system representation of the model is obtained. To account for uncertainties, the system is embedded into a stochastic environment. By employing a Kalman filter, the on-line measurements of the water-level available can be used to identify and predict the shallow water flow. Because it takes a certain time before a fluctuation in the wind stress can be noticed in the water-level measurements, an optimal fixed-lag smoother is used to identify the stress. |
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Keywords: | Kalman filtering Optimal smoothing Shallow water equations Wind stress On-line prediction |
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