Blending method and its application in data assimilation

MA Zhai-pu; HUANG Da-ji; ZHANG Ben-zhao

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MA Zhai-pu, HUANG Da-ji, ZHANG Ben-zhao. Blending method and its application in data assimilation[J]. Haiyang Xuebao, 2003, 25(2): 33-41.

Citation:

MA Zhai-pu, HUANG Da-ji, ZHANG Ben-zhao. Blending method and its application in data assimilation[J]. Haiyang Xuebao, 2003, 25(2): 33-41.

MA Zhai-pu, HUANG Da-ji, ZHANG Ben-zhao. Blending method and its application in data assimilation[J]. Haiyang Xuebao, 2003, 25(2): 33-41.

Citation:

MA Zhai-pu, HUANG Da-ji, ZHANG Ben-zhao. Blending method and its application in data assimilation[J]. Haiyang Xuebao, 2003, 25(2): 33-41.

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Blending method and its application in data assimilation

Received Date: 2002-04-04
Rev Recd Date: 2002-05-24

Abstract

Abstract

The different scheme of blending method to meet the requirement of the smallest forecast covariance is developed according to the different dimension of observed data.The formula of computing the forecast covariance is obtained too.Employing the scheme, the observed data of different types, are assimilated in real and then verified with the SST data in April in the Bohai Sea.The result of twin experiments indicates that the new scheme can give attention to both the observations and the model simulations, and that the data after assimilation are close to the observations.The result obtained by blending method is compared with that by Kalman filter, and which shows that the blending method is simpler than the Kalman filter in practical use and is more efficient than Kalman filter.
- blending method,
- data assimilation,
- Bohai Sea SST

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References(11)

References

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