Assimilation experiment based on wave spectrum decomposition and reconstruction

Mao Kefeng; Xiao Zhongle; Song Haibo; Zhong Yifei

doi:10.3969/j.issn.0253-4193.2016.03.002

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Mao Kefeng, Xiao Zhongle, Song Haibo, Zhong Yifei. Assimilation experiment based on wave spectrum decomposition and reconstruction[J]. Haiyang Xuebao, 2016, 38(3): 15-26. doi: 10.3969/j.issn.0253-4193.2016.03.002

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Mao Kefeng, Xiao Zhongle, Song Haibo, Zhong Yifei. Assimilation experiment based on wave spectrum decomposition and reconstruction[J]. Haiyang Xuebao, 2016, 38(3): 15-26. doi: 10.3969/j.issn.0253-4193.2016.03.002

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Assimilation experiment based on wave spectrum decomposition and reconstruction

doi: 10.3969/j.issn.0253-4193.2016.03.002

1.
Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China
2.
The 96631 Unit of PLA, Beijing 102208, China
3.
The 92721 Unit of PLA, Zhoushan 316000, China
4.
The 95857 Unit of PLA, Hengyang 102208, China

Received Date: 2014-12-05
Rev Recd Date: 2015-04-02

Abstract

Abstract

In the near-shore wave forecasting model,the ocean buoy data assimilation method based on wave spectral decomposition and optimization is proposed. The calculated wave energy spectrum before the initial time is studied with orthogonal decomposition,and the result,combined with synchronous buoy observations of significant wave height value is used to construct a Kalman filtering system,and the initial wave energy density spectrum of wave model is revisesd by the multi-time significant wave height value. This method has been applied to 72 h wave forecast experiments with assimilation 7 buoy's significant wave height data in the Gulf of Alaska. One month experiments show that method can improve the forecasts of significant wave height at different degree of different prediction time. The mean square error for 24 h forecast of significant wave height reduces 0.13 m. Meanwhile,the effect of initial field after assimilation to forecast will extend 36 h or so,but the assimilation effect is weakened by extend the prediction time.
- ocean wave spectrum,
- significant wave height,
- assimilation,
- WAVEWATCH-Ⅲ model,
- Kalman filtering

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References(13)

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