IOCAS-IR  > 海洋环流与波动重点实验室
The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)
Wang, Xiaowei1,2,3; Liu, Chuanyu1,2,3,4; Koehl, Armin5; Geng, Wu6; Wang, Fan1,2,3,4; Stammer, Detlef5
2021-09-09
Source PublicationJOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN2096-5508
Pages21
Corresponding AuthorLiu, Chuanyu(chuanyu.liu@qdio.ac.cn)
AbstractAn eddy-resolving four-dimensional variational (adjoint) data assimilation and state estimate was constructed for the low- to mid-latitude Pacific, Indian Oceans, and South China Sea based on the framework of "Estimating the Circulation and Climate of the Oceans (ECCO)". It is named as the Two Oceans One Sea State Estimate (TOOSSE). It fits a model to a number of modern observations of 2015-2016, including the Argo float temperature and salinity, satellite altimetric sea surface anomalies, by adjusting initial temperature and salinity, sea surface boundary conditions, and background diapycnal diffusivities. In total, similar to 50% of the original model-data misfits have been eliminated, and the estimated state agreed well with a variety of independent observations at meso- to large scales, and on the intra-seasonal to interannual timescales. Mesoscale variability is systematically strengthened in TOOSSE and closer to observations than that without data assimilation, which is especially evidenced by the improved simulation of the mesoscale tropical instability waves (TIWs). Adjustments to ocean surface forcing parameters exhibit both large and frontal/mesoscale structures, and the magnitude reach 20%-100% of the first guesses; the adjustments to diapycnal diffusivity exhibit an obvious elevation (decrement) in (below) the thermocline in the equatorial band. The results indicate that TOOSSE represents a dynamically and thermodynamically consistent ocean state estimate of the 2015-2016 Indo-Pacific Ocean, and can be widely utilized for regional process studies.
KeywordPacific Ocean Indian Ocean South China Sea adjoint four-dimensional variational data assimilation
DOI10.1007/s00343-021-0439-9
Indexed BySCI
Language英语
Funding ProjectNational Key R&D Program of China[2016YFC1401703] ; Strategic Priority Research Program of CAS[XDB42000000] ; Key Research Program of Frontier Sciences of CAS[QYZDB-SSW-DQC030] ; National Natural Science Foundation of China[41976012] ; National Natural Science Foundation of China[41730534] ; National Natural Science Foundation of China[41806015] ; National Natural Science Foundation of China[Y72143101B] ; Aoshan Talents Program[2017ASTCPES03]
WOS Research AreaMarine & Freshwater Biology ; Oceanography
WOS SubjectLimnology ; Oceanography
WOS IDWOS:000694620600010
PublisherSCIENCE PRESS
Citation statistics
Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/176356
Collection海洋环流与波动重点实验室
Corresponding AuthorLiu, Chuanyu
Affiliation1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China
2.Chinese Acad Sci, Ctr Ocean Megasci, Qingdao 266071, Peoples R China
3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Ocean Dynam & Climate, Qingdao 266237, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Univ Hamburg, Inst Meereskunde, D-20146 Hamburg, Germany
6.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou 510301, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences;  Center for Ocean Mega-Science, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Xiaowei,Liu, Chuanyu,Koehl, Armin,et al. The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2021:21.
APA Wang, Xiaowei,Liu, Chuanyu,Koehl, Armin,Geng, Wu,Wang, Fan,&Stammer, Detlef.(2021).The adjoint-based Two Oceans One Sea State Estimate (TOOSSE).JOURNAL OF OCEANOLOGY AND LIMNOLOGY,21.
MLA Wang, Xiaowei,et al."The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)".JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2021):21.
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