STATISTICAL WAVE FORECASTING THROUGH KALMAN FILTERING COMBINED WITH PRINCIPAL COMPONENT ANALYSIS

Noriaki Hashimoto; Toshihiko Nagai; Masanobu Kudaka

doi:10.9753/icce.v26.%p

No. 26 (1998), Conference Proceedings

No. 26 (1998)

STATISTICAL WAVE FORECASTING THROUGH KALMAN FILTERING COMBINED WITH PRINCIPAL COMPONENT ANALYSIS

Conference Proceedings

https://doi.org/10.9753/icce.v26.%25p

Published 1998-01-29

Noriaki Hashimoto⁺⁻
Toshihiko Nagai⁺⁻
Masanobu Kudaka⁺⁻

Noriaki Hashimoto

Hydrodynamics Laboratory, Marine Environment Division, Port and Harbour Research Institute, Ministry of Transport

Toshihiko Nagai

Hydrodynamics Laboratory, Marine Environment Division, Port and Harbour Research Institute, Ministry of Transport

Masanobu Kudaka

Wave Information Laboratory, ECOH Co., Ltd.

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Keywords

wave forecasting
Kalman filtering
principal component analysis

How to Cite

Hashimoto, N., Nagai, T., & Kudaka, M. (1998). STATISTICAL WAVE FORECASTING THROUGH KALMAN FILTERING COMBINED WITH PRINCIPAL COMPONENT ANALYSIS. Coastal Engineering Proceedings, 1(26). https://doi.org/10.9753/icce.v26.%p

Abstract

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.

https://doi.org/10.9753/icce.v26.%25p

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Authors retain copyright and grant the Proceedings right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this Proceedings.

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STATISTICAL WAVE FORECASTING THROUGH KALMAN FILTERING COMBINED WITH PRINCIPAL COMPONENT ANALYSIS

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