Wave assimilation and numerical prediction

Yang Yong-zeng; Qiao Fang-li; Pan Zeng-di

doi:10.1007/BF02876076

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Wave assimilation and numerical prediction

Updated：2023-05-16

- Wave assimilation and numerical prediction
- Journal of Oceanology and Limnology Vol. 18, Issue 4, Pages: 301-308(2000)
- Affiliations：
  
  1. First Institute of Oceanography State Oceanic Administration
  2. Key Laboratory of Marine Science and Numerical Modeling State Oceanic Administration
  3. Institute of Oceanology Chinese Academy of Sciences
- Author bio：
- Funds：
- DOI：10.1007/BF02876076
  CLC：
- Published：2000
- Accepted：
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Yong-zeng, Y., Fang-li, Q. & Zeng-di, P. Wave assimilation and numerical prediction., Chin. J. Ocean. Limnol. 18, 301–308 (2000). https://doi.org/10.1007/BF02876076
DOI：

Yong-zeng, Y., Fang-li, Q. & Zeng-di, P. Wave assimilation and numerical prediction., Chin. J. Ocean. Limnol. 18, 301–308 (2000). https://doi.org/10.1007/BF02876076 DOI：

摘要

Abstract

An adjoint variational method for wave data assimilation in the LAGFD-WAM wave model is proposed. The adjoint equation of the wavenumber energy spectrum balance equation is derived. And fortunately

its characteristic equations are the same as those in the LAGFD-WAM wave model. Simple experiments on the functional optimization and assimilation effectiveness during the prediction period indicated that the adjoint variational method is effective for wave assimilation and that the initial optimization of the wave model is important for the short-range wave prediction. All of this is under the assumption that the wind field is accurate

the method is the important first step for combined wind and wave data assimilation systems.

关键词

Keywords

references

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