The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)

doi:10.1007/s00343-021-0439-9

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, Xiaowei 1,2,3; Liu, Chuanyu 1,2,3,4; Koehl, Armin 5; Geng, Wu 6; Wang, Fan1,2,3,4 ; Stammer, Detlef 5
	2021-09-09
发表期刊	JOURNAL OF OCEANOLOGY AND LIMNOLOGY
ISSN	2096-5508
页码	21
通讯作者	Liu, Chuanyu(chuanyu.liu@qdio.ac.cn)
摘要	An 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.
关键词	Pacific Ocean Indian Ocean South China Sea adjoint four-dimensional variational data assimilation
DOI	10.1007/s00343-021-0439-9
收录类别	SCI
语种	英语
资助项目	National 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研究方向	Marine & Freshwater Biology ; Oceanography
WOS类目	Limnology ; Oceanography
WOS记录号	WOS:000694620600010
出版者	SCIENCE PRESS
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/176356
专题	海洋环流与波动重点实验室
通讯作者	Liu, Chuanyu
作者单位	1.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
第一作者单位	中国科学院海洋研究所; 中国科学院海洋大科学研究中心
通讯作者单位	中国科学院海洋研究所; 中国科学院海洋大科学研究中心
推荐引用方式 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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