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

Xiaowei WANG; Chuanyu LIU; Armin KÖHL; Wu GENG; Fan WANG; Detlef STAMMER

doi:10.1007/s00343-021-0439-9

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

Physics | Updated：2023-04-27

- The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)
- Journal of Oceanology and Limnology Vol. 40, Issue 1, Pages: 1-21(2022)
- Affiliations：
  
  1.CAS Key Laboratory of Ocean Circulation and Waves, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
  2.Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
  3.Laboratory for Ocean Dynamics and Climate, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China
  4.University of Chinese Academy of Sciences, Beijing 100049, China
  5.Institut für Meereskunde, Universität Hamburg, Hamburg D20146, Germany
  6.State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
- Author bio：
  
  Chuanyu LIU, E-mail: chuanyu.liu@qdio.ac.cn
- Funds：
- DOI：10.1007/s00343-021-0439-9
  CLC：
- Received：12 November 2020，
  
  Accepted：25 December 2020，
  
  Online First：02 February 2021，
  
  Published：2022-01
- Accepted：
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Xiaowei WANG, Chuanyu LIU, Armin KÖHL, et al. The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)[J]. Journal of Oceanology and Limnology, 2022, 40(1): 1-21.
DOI：

Xiaowei WANG, Chuanyu LIU, Armin KÖHL, et al. The adjoint-based Two Oceans One Sea State Estimate (TOOSSE)[J]. Journal of Oceanology and Limnology, 2022, 40(1): 1-21. DOI： 10.1007/s00343-021-0439-9.

摘要

Abstract

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

~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

Keywords

references

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