Application of adjoint assimilation method in a sea surface temperature prediction model:global optimization of the initial field

doi:10.3969/j.issn.1001-909X.2015.01.001

Abstract

Abstract: Variational assimilation technique, in conjunction with the ship reported data, is applied to a short term numerical prediction model in order to realize automatic short term SST forecast in the Bohai, the Yellow and the East China Seas. The prediction model, using the adjoint assimilation method, achieves a global optimization of the initial SST field. Corresponding to the four typical months (February, May, August and November) of four quarters respectively in 2002, we do forecast for a month continuously. The results indicate that the root mean square error between the hindcasts of 24 successive hours and the ship reported data is reduced to below 0.8 ℃. The mean absolute errors of SST are reduced markedly, compared with the values before assimilation. The forecast accuracy is improved with the adjoint assimilation method compared with the results from the objective analysis method.

Key words: adjoint assimilation method, sea surface temperature, short term numerical prediction, the Bohai, the Yellow and the East China Seas

CLC Number:

P731.31

GAO Yan-qiu, SU Jie, LI Lei, LV Xian-qing. Application of adjoint assimilation method in a sea surface temperature prediction model:global optimization of the initial field[J]. Journal of Marine Sciences, 2015, 33(1): 1-8.

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