The comparison of different inversion methods of a background error covariance matrix in assimilation experiments of altimeter data

LIU Xiangwen; LI Weijing; WU Tongwen; XIAO Xianjun

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LIU Xiangwen, LI Weijing, WU Tongwen, XIAO Xianjun. The comparison of different inversion methods of a background error covariance matrix in assimilation experiments of altimeter data[J]. Haiyang Xuebao, 2012, 34(5): 65-73.

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The comparison of different inversion methods of a background error covariance matrix in assimilation experiments of altimeter data

Open Laboratory of Climate Resehrch, National Climate Center, China Meteorological Administration, Beijing 100081, China

Received Date: 2011-01-28
Rev Recd Date: 2011-11-17

Abstract

Abstract

For the assimilation of altimeter data,the influence of different analysis schemes on the assimilation effects is analyzed.Differing in the inversion methods of a background error covariance matrix,these schemes include a empirical orthogonal function scheme and its variant variance form(abbreviated as EOF and EOF_var),a recursive filter scheme and its variant variance form(abbreviated as RF and RF_var),and a matrix inversion using a elementary transformation method(abbreviated as Inv).Using the above schemes,some assimilation experiments,based on TOPEX/Poseidon satellite altimeter data from January to July 2002,were carried out in tropical Pacific Ocean,and then the assimilation effects were assessed using SODA reanalysis data and TAO observations.On the one hand,the comparison with the SODA data shows that the Inv scheme has less improvement on the modeling temperature field,and the other four schemes improve the model fields more clearly in depth from 100 to 300 m and less in other range.On the other hand,the comparison with the TAO observations indicates that the EOF_var and RF_var are the most effective scheme to improve temperature field,next are the EOF and RF schemes,least is Inv scheme.
- sea surface height,
- empirical orthogonal function,
- recursive filter,
- inversion,
- temperature,
- RMSE

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References(18)

References

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