IOCAS-IR
Impact of Assimilation of Moored Velocity Data on Low-Frequency Current Estimation in Northwestern Tropical Pacific
Liu, Danian1,2; Wang, Fan3; Zhu, Jiang4; Wang, Dongxiao2,5; Wang, Jianing3; Xie, Qiang6; Shu, Yeqiang1
2020-09-01
Source PublicationJOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
ISSN2169-9275
Volume125Issue:9Pages:18
Corresponding AuthorShu, Yeqiang(shuyeq@scsio.ac.cn)
AbstractThis study investigates the impact of assimilation of Northwestern Tropical Pacific Ocean (NWTPO) moored currents observation system on low-frequency (over a period of more than 90 days) current estimation. A low-frequency scale-selective ensemble optimal interpolation (EnOI) scheme is designed to assimilate the horizontally sparse moored currents into an eddy-permitting ocean model. In this assimilation scheme, low-frequency current signals are selected by removing intraseasonal signals in both observation and ensemble data, and a horizontal spatial filter is implemented to match the model forecast to the low-frequency ensemble and observation. The assimilation of currents efficiently resolves simulated low-frequency current displacements, especially for the Equatorial Undercurrent (EUC), the North Equatorial Countercurrent (NECC), and the North Equatorial Current (NEC). More realistic intensities of the NWTPO low-frequency currents are also reproduced. With respect to the moored velocity profiles, the root-mean-square error (RMSE) of the simulated low-frequency zonal velocity above a 500-m depth is reduced from 10.9 to 5.8 cm/s using this low-frequency EnOI scheme. The low-frequency variation of NWTPO currents is reproduced by correcting the structures of different baroclinic modes. The increments of zonal velocities mainly correspond to the first baroclinic mode for the NECC and NEC, while for the EUC, they correspond to the leading three and higher-order baroclinic modes. The improvements of the simulated stratification and pressure gradient remark the role of the assimilation of moored currents in adjusting available potential energy.
Keywordmoored current ensemble optimal interpolation northwestern tropical Pacific
DOI10.1029/2019JC015829
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC1401702] ; National Key Research and Development Program of China[2016YFC1401705] ; National Key Research and Development Program of China[2017YFA0603202] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA11010000] ; National Natural Science Foundation of China[41521005] ; National Natural Science Foundation of China[91958202] ; National Natural Science Foundation of China[4190060387] ; National Natural Science Foundation of China[91858203] ; Chinese Academy of Sciences Foundation[CXJJ-19-C18] ; High Performance Computing Division
WOS Research AreaOceanography
WOS SubjectOceanography
WOS IDWOS:000576619900006
PublisherAMER GEOPHYSICAL UNION
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/168942
Collection中国科学院海洋研究所
Corresponding AuthorShu, Yeqiang
Affiliation1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China
2.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China
4.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao, Peoples R China
5.Sun Yat Sen Univ, Sch Marine Sci, Guangzhou, Peoples R China
6.Chinese Acad Sci, Inst Deep Sea Sci & Engn, Sanya, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Danian,Wang, Fan,Zhu, Jiang,et al. Impact of Assimilation of Moored Velocity Data on Low-Frequency Current Estimation in Northwestern Tropical Pacific[J]. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,2020,125(9):18.
APA Liu, Danian.,Wang, Fan.,Zhu, Jiang.,Wang, Dongxiao.,Wang, Jianing.,...&Shu, Yeqiang.(2020).Impact of Assimilation of Moored Velocity Data on Low-Frequency Current Estimation in Northwestern Tropical Pacific.JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS,125(9),18.
MLA Liu, Danian,et al."Impact of Assimilation of Moored Velocity Data on Low-Frequency Current Estimation in Northwestern Tropical Pacific".JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS 125.9(2020):18.
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