Statistical Forecasting of Long Period Waves Based on Weather Data for the Purpose of Judgment of Executing Cargo Loading

Noriaki Hashimoto, Koji Kawaguchi

研究成果: Contribution to conferencePaper査読

2 被引用数 (Scopus)

抄録

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.

本文言語英語
ページ2042-2049
ページ数8
出版ステータス出版済み - 2003
外部発表はい
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 20025 30 2003

その他

その他Proceedings of the Thirteenth (2003) International Offshore and Polar Engineering Conference
国/地域米国
CityHonolulu, HI
Period5/25/025/30/03

All Science Journal Classification (ASJC) codes

  • エネルギー工学および電力技術
  • 海洋工学
  • 機械工学

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