| Yu Fujiang,Zhang Zhanhai,Lin Yihua.A numerical storm surge forecast model with Kalman filter[J].Acta Oceanologica Sinica,2001,(4):483-492 |
| A numerical storm surge forecast model with Kalman filter |
| A numerical storm surge forecast model with Kalman filter |
| 投稿时间：2001-03-28 修订日期：2001-07-22 |
| DOI： |
| 中文关键词: Storm surge model Kalman filter |
| 英文关键词:Storm surge model Kalman filter |
| 基金项目:This project was supported by the National Natural Science Foundation of China under contract No. 40176001 and the Hi-tech Research and Development Program of China under contract No. 818-01-04. |
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| 中文摘要: |
| Kalman filter data assimilation technique is incorporated into a standard two-dimensional linear storm surge model. Imperfect model equation and imperfect meteorological forcimg are accounted for by adding noise terms to the momentum equations. The deterministic model output is corrected by using the available tidal gauge station data. The stationary Kalman filter algorithm for the model domain is calculated by an iterative procedure using specified information on the inaccuracies in the momentum equations and specified error information for the observations. An application to a real storm surge that occurred in the summer of 1956 in the East China Sea is performed by means of this data assimilation technique. The result shows that Kalman filter is useful for storm surge forecast and hindcast. |
| 英文摘要: |
| Kalman filter data assimilation technique is incorporated into a standard two-dimensional linear storm surge model. Imperfect model equation and imperfect meteorological forcimg are accounted for by adding noise terms to the momentum equations. The deterministic model output is corrected by using the available tidal gauge station data. The stationary Kalman filter algorithm for the model domain is calculated by an iterative procedure using specified information on the inaccuracies in the momentum equations and specified error information for the observations. An application to a real storm surge that occurred in the summer of 1956 in the East China Sea is performed by means of this data assimilation technique. The result shows that Kalman filter is useful for storm surge forecast and hindcast. |
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