MONTHLY MEAN WAVE HEIGHT FORECASTS USING THE STATISTICAL WAVE MODEL BASED ON PCA ANALYSIS

Yoko Shibutani; Nobuhito Mori; Taisei Kanda

doi:10.9753/icce.v37.waves.10

No. 37 (2022), Waves

No. 37 (2022)

MONTHLY MEAN WAVE HEIGHT FORECASTS USING THE STATISTICAL WAVE MODEL BASED ON PCA ANALYSIS

Waves

Published 2023-09-01

Yoko Shibutani
Nobuhito Mori
Taisei Kanda

Yoko Shibutani

Nobuhito Mori

Taisei Kanda

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How to Cite

MONTHLY MEAN WAVE HEIGHT FORECASTS USING THE STATISTICAL WAVE MODEL BASED ON PCA ANALYSIS. (2023). Coastal Engineering Proceedings, 37, waves.10. https://doi.org/10.9753/icce.v37.waves.10

Abstract

Wave forecasts are refed in various fields such as fishing, surfing, ship navigation, and maritime construction. In addition, mild wave conditions are necessary during construction on the sea. Therefore, the accuracy of wave forecasting greatly influences marine construction management. In order to make a construction plan for marine construction, it is desired to estimate the wave height and frequency of construction several months ahead. The concern with long-term predictions has been growing because most wave forecasts are short-term predictions. In this study, a monthly ensemble mean wave height prediction was carried out using the statistical wave model, and the prediction accuracy was verified.

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References

Kishimoto, R., T. Shimura, N. Mori and H. Mase (2017): Hydrological Research Letters, Vol.11(1), pp.51-57.

This work is licensed under a Creative Commons Attribution 4.0 International License.

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MONTHLY MEAN WAVE HEIGHT FORECASTS USING THE STATISTICAL WAVE MODEL BASED ON PCA ANALYSIS

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