4DVAR assimilation of SST and SSH data in South China Sea based on ROMS

Zhou Chaojie; Zhang Jie; Yang Jungang; Xu Mingming; Zhang Qingjun

doi:10.3969/j.issn.0253-4193.2019.01.004

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Zhou Chaojie, Zhang Jie, Yang Jungang, Xu Mingming, Zhang Qingjun. 4DVAR assimilation of SST and SSH data in South China Sea based on ROMS[J]. Haiyang Xuebao, 2019, 41(1): 32-40. doi: 10.3969/j.issn.0253-4193.2019.01.004

Citation:

Zhou Chaojie, Zhang Jie, Yang Jungang, Xu Mingming, Zhang Qingjun. 4DVAR assimilation of SST and SSH data in South China Sea based on ROMS[J]. Haiyang Xuebao, 2019, 41(1): 32-40. doi: 10.3969/j.issn.0253-4193.2019.01.004

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4DVAR assimilation of SST and SSH data in South China Sea based on ROMS

doi: 10.3969/j.issn.0253-4193.2019.01.004

1.
China University of Petroleum, Qingdao 266580, China;First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
2.
First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
3.
Beijing Institute of Spacecraft System Engineering, Beijing 100094, China

Received Date: 2018-03-21
Rev Recd Date: 2018-05-29

Abstract

Abstract

Oceanic surface information with large scale, real-time, high resolution has been collected by satellite remote sensing instruments, including sea surface temperature (SST) and sea surface height (SSH), which could be assimilated in ocean model to enhance the simulation. In this paper, an experiment in South China Sea is conducted based on ROMS and 4DVAR method, by assimilating the AVHRR SST and AVISO sea level anomalies (SLA) data. To confirm the efficiency of the assimilation, the HYCOM reanalysis data and Argo in situ profile are applied to validate the SSH, current and temperature-salinity (T-S) field of the assimilation. The results show that the simulation is enhanced after the SST and SSH assimilation. The capability of mesoscale characteristics detection in SSH outcomes is promoted, and the absolute bias (Abias) and root mean square error (RMSE) are 0.054 m and 0.066 m, compared with the HYCOM surface elevation. Considering the velocity evaluation with HYCOM, the averaged Abias of the eastward and northward velocity at 10 m layer is 0.12 m/s and 0.011 m/s, accompanied with a promotion of 0.01 m/s. Meanwhile, the assimilation results agree with the Argo T-S profiles well, the averaged Abias of T-S is 0.45℃, 0.077, while the RMSE is 0.91℃ and 0.11, respectively. Moreover, the analysis of single T-S profile indicates that the assimilation results achieve a comparable accuracy with HYCOM.
- South China Sea,
- ROMS,
- four-dimensional variational data assimilation,
- sea surface temperature,
- sea surface height

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