Application of Kalman filter to short-term tide level prediction

Pei Hwa Yen, Chyan Deng Jan, Youe Ping Lee, Hsiu Fang Lee

Research output: Contribution to journalArticlepeer-review

34 Citations (Scopus)

Abstract

Prediction of tide levels is one of the important problems in determining the schedule making of activities or constructions in coastal and oceanic area. Accurate predictions of tide levels could not be obtained without a long length (about one month or more) of tide measurements by conventional methods. A method of using a short length (a few days) of tide measurements to predict tide levels over a longer time is proposed in the present paper. In the method, a harmonic tide level model is used to predict tide levels. The parameters of the tide level model, that is, the amplitudes of the harmonic components, are estimated by Kalman filtering technique using a few-day tide record with the assumption of known angular frequencies. The proposed model is then applied to the short-term tide level prediction of the Kaohsiung Harbor, Taiwan. As a result, the tide levels predicted by the proposed method are in good agreement with the observed data.

Original languageEnglish
Article number8937
Pages (from-to)226-231
Number of pages6
JournalJournal of Waterway, Port, Coastal and Ocean Engineering
Volume122
Issue number5
DOIs
Publication statusPublished - 1996

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Water Science and Technology
  • Ocean Engineering

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