Statistical wave forecasting methods are sometimes applied because of their simplicity and convenience. Most of them, however, include some drawbacks from statistical and numerical viewpoints. In this paper, these drawbacks are discussed and a statistical forecasting method utilizing the Kalman filter technique combined with the Principal Component Analysis (Kalman-PCA model) is applied for the prediction of long period waves having the period of tens of seconds or longer, which was proposed to mitigate the drawbacks of the conventional statistical wave forecasting methods. Applicability and reliability of the method is examined for observed wave data at Shibushi port in Japan based on wave data and weather data for 5-years.
|出版ステータス||出版済み - 2003|
|イベント||Proceedings of the Thirteenth (2003) International Offshore and Polar Engineering Conference - Honolulu, HI, 米国|
継続期間: 5 25 2002 → 5 30 2003
|その他||Proceedings of the Thirteenth (2003) International Offshore and Polar Engineering Conference|
|Period||5/25/02 → 5/30/03|
All Science Journal Classification (ASJC) codes