Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Tide modelling using the Kalman filter
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: M 2 , S 2 , N 2 , K 2 , K 1 , O 1 and P 1 . 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 r 2 for the Kalman Filter and Least Squares are r 2 = 0.9708 and r 2 = 0.9668, respectively. This result indicates that the result of the Kalman Filter is slightly better than the Least Squares.
Tide modelling using the Kalman filter
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: M 2 , S 2 , N 2 , K 2 , K 1 , O 1 and P 1 . 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 r 2 for the Kalman Filter and Least Squares are r 2 = 0.9708 and r 2 = 0.9668, respectively. This result indicates that the result of the Kalman Filter is slightly better than the Least Squares.
Tide modelling using the Kalman filter
Okwuashi, Onuwa (Autor:in) / Olayinka, Dupe Nihinlola
2017
Aufsatz (Zeitschrift)
Englisch
Tide modelling using the Kalman filter
| Online Contents | 2016
Application of Kalman Filter to Short-Term Tide Level Prediction
| British Library Online Contents | 1996
Application of Kalman Filter to Short-Term Tide Level Prediction
| Online Contents | 1996
Application of Kalman Filter to Short-Term Tide Level Prediction
| Online Contents | 1998
Application of Kalman Filter to Short-Term Tide Level Prediction: Closure by Authors
| British Library Online Contents | 1998