Tide modelling using the Kalman filter
- 21 November 2016
- journal article
- review article
- Published by Taylor & Francis Ltd in Journal of Spatial Science
- Vol. 62 (2), 353-365
- https://doi.org/10.1080/14498596.2016.1245162
Abstract
Away from the conventional Least Squares method of predicting tide, this research explores the use of the Kalman Filter. This work is based on seven harmonic constituents: M2, S2, N2, K2, K1, O1 and P1. The computed tidal form factor F = 0.1955 indicates that the tide is semi-diurnal, which is an indication that the result of the experiment can be trusted, since Nigerian coastal waters are characteristically semi-diurnal in nature. The computed r2 for the Kalman Filter and Least Squares are r2 = 0.9708 and r2 = 0.9668, respectively. This result indicates that the result of the Kalman Filter is slightly better than the Least Squares.Keywords
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