Data assimilation on seasonal cycle of sea surface height anomaly in the south china sea

WANG Weiqiang; WANG Dongxiao; XIE Qiang

Data assimilation on seasonal cycle of sea surface height anomaly in the south china sea

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Funds:

the South China Sea Monsoon Experiment, the State Key Basic Research Program (G1999043806);the CAS Knowledge Innovation Project (KZCX2-202);the National Natural Science Foundation of China (400076007)

Abstract

Abstract

The Sea Surface Height Anomaly (SSHA) from the TOPEX/Poseidon altimeter data in 1994 is assimilated into a high-resolution model of the South China Sea (SCS) with nudging method. The model results can reveal the seasonal variations of SSHA and its time-space migration characters, at the same time, verify the effect of assimilation.Compared with non-assimilation results, assimilation results can show the seasonal variations of SSHA better, particularly in winter.Futhermore, it can distinguish temporal-spatial migration characters of SSHA clearly, i.e. cold signal of SSHA in northern SCS propagating westward and warm signal of SSHA in central SCS propagating eastward.It shows that as an easy and effective method, data assimilation of the SSHA with nudging method could make the simulated results closer to the available observations.
- sea surface height anomaly (SSHA),
- nudging method,
- assimilation

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References (12)

References

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WANG Weiqiang, WANG Dongxiao, XIE Qiang. 2003: Data assimilation on seasonal cycle of sea surface height anomaly in the south china sea. Journal of Meteorological Research, 17(S1): 238-248.

Citation:

WANG Weiqiang, WANG Dongxiao, XIE Qiang. 2003: Data assimilation on seasonal cycle of sea surface height anomaly in the south china sea. Journal of Meteorological Research, 17(S1): 238-248.

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Manuscript History

Final form: 30 December 2003

Published online: 16 June 2015

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Data assimilation on seasonal cycle of sea surface height anomaly in the south china sea