Nonlinear phase-resolved ocean wave simulation with ensemble Kalman filter
This work establishes a nonlinear phase-resolved wave simulation framework that assimilates observations through the ensemble Kalman filter - pseudospectral Fourier-Legendre (EnKF-PFL) approach. The key image shows that it consistently suppresses the error growth of the PFL-only model and achieves close agreement with reference wave profiles for both regular and irregular waves. It further demonstrates robust performance under highly nonlinear conditions and strong disturbances, where conventional models deteriorate. A consistent set of optimal assimilation parameters is also identified, enabling a practical and predictive strategy for accurate ocean wave forecasting.
Authors
- Guangyao Wang (ORCID: https://orcid.org/0000-0001-7416-2246)
- Zeng Liu (ORCID: https://orcid.org/0000-0001-5509-9114)
- Lige Zhang (ORCID: https://orcid.org/0009-0002-3845-0413)
- Sijie Wang (ORCID: https://orcid.org/0009-0009-5782-3888)
- Xiaoyan Yang (ORCID: https://orcid.org/0000-0003-3483-5658)
- Jianglong Sun (ORCID: https://orcid.org/0000-0001-5455-9932)
Institutions
- Hubei University of Medicine (CN)
- University of Macau (MO)
- Naval University of Engineering (CN)
- Guangzhou Maritime College (CN)
- Zhuhai Institute of Advanced Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Physical Review Fluids
- Published
- 2025-08-11
- DOI
- https://doi.org/10.1103/n6gk-x3xc
- Primary Topic
- Ocean Waves and Remote Sensing
- Type
- article
- Field-Weighted Citation Impact
- 0.00