Marine Hydrology

A hybrid ensemble filter and 3D variational analysis scheme

  • Tun-Xin-Rong ,
  • Han-Gui-Jun- ,
  • Li-Dong- ,
  • Li-Wei
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  • 1. South China Sea Institute of Oceanology, CAS, Guangzhou 510301, China ; 2. National Marine Data and Information Service, Tianjin 300171, China ; 3. Graduate University of CAS, Beijing 100049, China

Received date: 2010-01-31

  Revised date: 2010-04-26

  Online published: 2011-12-22

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.

Cite this article

Tun-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 . DOI: 10.11978/j.issn.1009-5470.2011.06.024

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