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Storm surge model based on variational data assimilation method

Shi-li HUANG Jian XU De-guan WANG Dong-yan LU

水科学与水工程2010,Vol.3Issue(2):166-173,8.
水科学与水工程2010,Vol.3Issue(2):166-173,8.DOI:10.3882/j.issn.1674-2370.2010.02.005

Storm surge model based on variational data assimilation method

Storm surge model based on variational data assimilation method

Shi-li HUANG 1Jian XU 2De-guan WANG 3Dong-yan LU4

作者信息

  • 1. College of Water Conservancy and Hydropower Engineering,Hohai University,Nanjing 210098,P.R.China
  • 2. Shanghai Water Authority,Shanghai 200232,P.R.China
  • 3. Shanghai Water Planning and Design Research Institute,Shanghai 200232,P.R.China
  • 4. College of Environmental Science and Engineering,Hohai University,Nanjing 210098,P R.China
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摘要

Abstract

By combining computation and observation information,the variational data assimilation method has the ability to eliminate errors caused by the uncertainty of parameters in practical forecasting.It was applied to a storm surge model based on unstructured grids with high spatial resolution meant for improving the forecasting accuracy of the storm surge.By controlling the wind stress drag coefficient,the variation-based model was developed and validated through data assimilation tests in an actual storm surge induced by a typhoon.In the data assimilation tests,the model accurately identified the wind stress drag coefficient and obtained results close to the true state.Then,the actual storm surge induced by Typhoon 0515 was forecast by the developed model,and the results demonstrate its efficiency in practical application.

关键词

storm surge/variational data assimilation/synthetic data/unstructured grid

Key words

storm surge/variational data assimilation/synthetic data/unstructured grid

分类

建筑与水利

引用本文复制引用

Shi-li HUANG,Jian XU,De-guan WANG,Dong-yan LU..Storm surge model based on variational data assimilation method[J].水科学与水工程,2010,3(2):166-173,8.

基金项目

This work was supported by the Scientific Research Program Project of Shanghai (Grant No.07237041). (Grant No.07237041)

水科学与水工程

OAEI

1674-2370

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