An Efficient T-S Assimilation Strategy Based on the Developed Argo-Extending Algorithm
Zhou, Chaojie1,2; Ding, Xiaohua1; Zhang, Jie2; Yang, Jungang2; Ma, Qiang1
刊名ADVANCES IN METEOROLOGY
2017
ISSN号1687-9309
DOI10.1155/2017/6847343
英文摘要CData assimilation is an efficient technique in the estimation of ocean state, by introducing the benefit of in situ measurements. Considering the insufficiency of the observations, the performance of assimilation with few temperature and salinity (T-S) profiles is not satisfied. To modify the situation, an extending algorithm based on the Argo temperature profile is developed and applied to present more reconstructed information. Meanwhile, when the reconstructed information is assimilated into the ocean model, the accuracy of the outcomes would obtain a notable enhancement. To validate it, an experiment including four cases is conducted based on Regional Ocean Modeling System (ROMS) and 4-dimensional variational method (4DVAR). The comparison with the EN4 dataset shows that the cases assimilated the Argo and the reconstructed temperature profiles are both promoted; the addition of reconstructed temperature profiles does enhance the accuracy; the impact of SST introduced in the extending algorithm process is negligible; the net enhancement of reconstructed temperature profiles is comparable with Argo T-S observations. Finally, the positive impact of the developed algorithm on data assimilation is validated.
资助项目Disciplinary Construction Guide Foundation of Harbin Institute of Technology at Weihai[WH20140206]
WOS关键词OCEAN DATA ASSIMILATION ; MODELING SYSTEM ; ALTIMETER DATA ; SURFACE ; CIRCULATION ; REANALYSIS ; DYNAMICS ; ROMS
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者HINDAWI LTD
WOS记录号WOS:000414082200001
内容类型期刊论文
源URL[http://ir.fio.com.cn:8080/handle/2SI8HI0U/27056]  
专题自然资源部第一海洋研究所
通讯作者Zhou, Chaojie
作者单位1.Harbin Inst Technol Weihai, Dept Math, Weihai 264209, Peoples R China
2.State Ocean Adm, Inst Oceanog 1, Qingdao 266061, Peoples R China
推荐引用方式
GB/T 7714
Zhou, Chaojie,Ding, Xiaohua,Zhang, Jie,et al. An Efficient T-S Assimilation Strategy Based on the Developed Argo-Extending Algorithm[J]. ADVANCES IN METEOROLOGY,2017.
APA Zhou, Chaojie,Ding, Xiaohua,Zhang, Jie,Yang, Jungang,&Ma, Qiang.(2017).An Efficient T-S Assimilation Strategy Based on the Developed Argo-Extending Algorithm.ADVANCES IN METEOROLOGY.
MLA Zhou, Chaojie,et al."An Efficient T-S Assimilation Strategy Based on the Developed Argo-Extending Algorithm".ADVANCES IN METEOROLOGY (2017).
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