Bathymetry estimation using ensemble adjustment Kalman filter in the numerical simulation of M<sub>2 </sub>constituent

Wu Haowen; Zhao Yanling; Han Guijun; Li Wei; Cao Lige; Wu Xiaobo; Li Chaoliang; Li Yundong; Zhou Gongfu

doi:10.12284/hyxb2022057

Volume 44 Issue 6

Jul. 2022

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Wu Haowen，Zhao Yanling，Han Guijun, et al. Bathymetry estimation using ensemble adjustment Kalman filter in the numerical simulation of M2 constituent[J]. Haiyang Xuebao，2022, 44(6)：10–21 doi: 10.12284/hyxb2022057

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Wu Haowen，Zhao Yanling，Han Guijun, et al. Bathymetry estimation using ensemble adjustment Kalman filter in the numerical simulation of M₂constituent[J]. Haiyang Xuebao，2022, 44(6)：10–21 doi: 10.12284/hyxb2022057

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Bathymetry estimation using ensemble adjustment Kalman filter in the numerical simulation of M₂constituent

doi: 10.12284/hyxb2022057

1.
School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
2.
The 31010 Army of PLA, Beijing 100081, China

Received Date: 2021-06-22
Rev Recd Date: 2021-09-03

Available Online: 2022-02-14

Publish Date: 2022-07-13

Abstract

Abstract

Data assimilation can estimate the uncertain parameters in the numerical model while adjusting the state variables with observations to improve the simulation results through enhancing the numerical model. Based on the ensemble adjustment Kalman filter (EAKF) and the external mode of the Princeton ocean model with generalized coordinate system (POMgcs), a bathymetry estimate is performed in the M₂ constituent simulation of the Bohai Sea and part of the Yellow Sea. The results of the ideal data assimilation experiment or identical twin experiment show that the EAKF method can retrieve the “truth” bathymetry. In the practical data assimilation experiment of the NAO.99Jb and tide gauge data, by comparing with the 34 tide gauges, the model simulated amplitude and phase lag errors of M₂ constituent are reduced by 40.27% and 49.19%, respectively, by use of the posterior estimate of the bathymetry.
- data assimilation,
- EAKF,
- numerical simulation,
- Bohai Sea,
- Yellow Sea,
- M₂ constituent,
- bathymetry estimation

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References

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