Statistical wave forecasting methods have been applied because of their convenience. Most of them, however, include some drawbacks from the statistical or numerical viewpoints. In this paper, these drawbacks are discussed and a new statistical wave forecasting method utilizing the Kalman filter technique combined with Principal Component Analysis (PCA) is proposed in order to mitigate the drawbacks. The applicability and reliability of the proposed method is examined for five wave observation stations around Japan through simulations based on 5-years of wave data and weather charts.
|Number of pages||14|
|Journal||Proceedings of the Coastal Engineering Conference|
|Publication status||Published - 1998|
|Event||Proceedings of the 1998 26th International Conference on Coastal Engineering, ICCE-98 - Copenhagen, Denmark|
Duration: Jun 22 1998 → Jun 26 1998
All Science Journal Classification (ASJC) codes
- Ocean Engineering