集合滤波和三维变分混合数据同化方法研究

doi:10.11978/j.issn.1009-5470.2011.06.024

Abstract

Abstract: A new hybrid data assimilation scheme based on ensemble adjustment Kalman filter (EAKF) and three-dimensional variational (3D-Var) analysis is developed. In this assimilation scheme, the perturbation of ensemble from EAKF is applied to the background field by using a transformation matrix, thus the perturbation of the analysis field can be obtained by taking advantage of a sequential filter, which will then be optimized by being combined with observations under the framework of 3D-Var. The data assimilation experiment in a perfect case is carried out by using Lorenz-63 model. The results demonstrate that the hybrid data assimilation scheme performs better than EAKF.

Key words: hybrid data assimilation scheme, ensemble adjustment Kalman filter, 3D-Var

CLC Number:

P731

WU Xin-rong,HAN Gui-jun,LI Dong,LI Wei . A hybrid ensemble filter and 3D variational analysis scheme [J].Journal of Tropical Oceanography, 2011, 30(6): 24-30.

References

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A hybrid ensemble filter and 3D variational analysis scheme

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