中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Reconstructing the Ocean Interior from High-Resolution Sea Surface Information

文献类型:期刊论文

作者Liu, Lei; Xue, Huijie2,3; Sasaki, Hideharu1; huijiexue@scsio.ac.cn
刊名JOURNAL OF PHYSICAL OCEANOGRAPHY
出版日期2019
卷号49期号:12页码:3245
关键词North Pacific Ocean Sea ocean surface Mesoscale processes Ocean dynamics Eddies Satellite observations
DOI10.1175/JPO-D-19-0118.1
英文摘要When evaluated against the 1/30 degrees-resolution, submesoscale-resolving OFES model outputs, the previously published "interior + surface quasigeostrophic" method (from the 2013 study by Wang et al., denoted W13) for reconstructing the ocean interior from sea surface information is found to perform improperly in depicting smaller-scale oceanic motions (associated with horizontal scales smaller than about 150 km). This could be attributed to the fact that the W13 method uses only the barotropic and first baroclinic modes for the downward projection of sea surface height (SSH), while SSH at smaller scales significantly reflects other higher-order modes. To overcome this limitation of W13, an extended method (denoted L19) is proposed by employing a scale-dependent vertical projection of SSH. Specifically, the L19 method makes the projection via two gravest modes as proposed in the W13 method only for larger-scale (>150 km) signals, but for smaller scales (<= 150 km) it exploits the framework of the "effective" surface quasigeostrophic (eSQG) method. Evaluation of the W13, eSQG, and L19 methods shows that the proposed L19 method can achieve the most satisfactory subsurface reconstruction in terms of both the flow and density fields in the upper 1000 m. Our encouraging results highlight the potential applicability of L19 method to the high-resolution SSH data from the upcoming Surface Water and Ocean Topography (SWOT) satellite mission.
资助机构National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41806036, 41775085, 41806035]; Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences [ISEE2018PY05] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41806036, 41775085, 41806035]; Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences [ISEE2018PY05]
源URL[http://ir.scsio.ac.cn/handle/344004/18190]  
专题南海海洋研究所_热带海洋环境国家重点实验室(LTO)
作者单位1.Univ Maine, Sch Marine Sci, Orono, ME USA
2.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China
3.Chinese Acad Sci, Inst South China Sea Ecol & Environm Engn, Guangzhou, Guangdong, Peoples R China
4.Japan Agcy Marine Earth Sci & Technol, Applicat Lab, Yokohama, Kanagawa, Japan
推荐引用方式
GB/T 7714
Liu, Lei,Xue, Huijie,Sasaki, Hideharu,et al. Reconstructing the Ocean Interior from High-Resolution Sea Surface Information[J]. JOURNAL OF PHYSICAL OCEANOGRAPHY,2019,49(12):3245, 3262.
APA Liu, Lei,Xue, Huijie,Sasaki, Hideharu,&huijiexue@scsio.ac.cn.(2019).Reconstructing the Ocean Interior from High-Resolution Sea Surface Information.JOURNAL OF PHYSICAL OCEANOGRAPHY,49(12),3245.
MLA Liu, Lei,et al."Reconstructing the Ocean Interior from High-Resolution Sea Surface Information".JOURNAL OF PHYSICAL OCEANOGRAPHY 49.12(2019):3245.

入库方式: OAI收割

来源:南海海洋研究所

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