Research on numerical simulation and prediction methods for ocean waves and wind waves based on ocean station data

Lei Wang

doi:10.1117/12.3051774

18 November 2024 Research on numerical simulation and prediction methods for ocean waves and wind waves based on ocean station data

Lei Wang

Author Affiliations +

Proceedings Volume 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) ; 1340310 (2024) https://doi.org/10.1117/12.3051774
Event: International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, 2024, Zhengzhou, China

Abstract

In order to understand the numerical simulation and prediction methods of ocean and wind waves based on ocean station data, a research on numerical simulation and prediction methods of ocean and wind waves based on ocean station data has been proposed. This paper first focuses on the statistical prediction of meaningful wave heights in waves, and conducts comparative analysis and research on typical prediction methods such as AR model, ANN model, and LSTM model. It establishes different meaningful wave height prediction models, verifies each model based on mixed wind and swell data in the East China Sea, and finally analyzes the prediction accuracy, providing the performance and error patterns of different prediction models. This study can provide theoretical reference for the optimization of wave forecasting models.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

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Lei Wang "Research on numerical simulation and prediction methods for ocean waves and wind waves based on ocean station data", Proc. SPIE 13403, International Conference on Algorithms, High Performance Computing, and Artificial Intelligence (AHPCAI 2024) , 1340310 (18 November 2024); https://doi.org/10.1117/12.3051774

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KEYWORDS

Autoregressive models

Performance modeling

Statistical modeling

Artificial neural networks

Data modeling

Error analysis

Numerical simulations

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