The adjoint-based Two Oceans One Sea State Estimate(TOOSSE)
文献类型：CNKI期刊论文
| 作者 | Xiaowei WANG; Chuanyu LIU; Armin K?HL; Wu GENG; Fan WANG ; Detlef STAMMER
|
| 发表日期 | 2022-01-15 |
| 出处 | Journal of Oceanology and Limnology
 |
| 关键词 | Pacific Ocean Indian Ocean South China Sea adjoint four-dimensional variational data assimilation |
| 英文摘要 | 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 fl oat temperature and salinity, satellite altimetric sea surface anomalies, by adjusting initial temperature and salinity, sea surface boundary conditions, and background diapycnal dif fusivities.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 dif fusivity 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. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | Supported by the National Key R&D Program of China (No. 2016YFC1401703) ; the Strategic Priority Research Program of CAS (No. XDB42000000) ; the Key Research Program of Frontier Sciences of CAS (No. QYZDB-SSW-DQC030) ; the National Natural Science Foundation of China (Nos. 41976012, 41730534, 41806015, Y72143101B) ; the Aoshan Talents Program by the QNML (No. 2017ASTCPES03) |
| 卷 | v.40期:01页:4-24 |
| 语种 | 英文; |
| 分类号 | P73 |
| ISSN号 | 2096-5508 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/187524]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.UniversityofChineseAcademyofSciences 2.StateKeyLaboratoryofTropicalOceanography,SouthChinaSeaInstituteofOceanology,ChineseAcademyofSciences 3.CASKeyLaboratoryofOceanCirculationandWaves,InstituteofOceanology,ChineseAcademyofSciences 4.CenterforOceanMega-Science,ChineseAcademyofSciences 5.LaboratoryforOceanDynamicsandClimate,PilotNationalLaboratoryforMarineScienceandTechnology(Qingdao) 6.InstitutfürMeereskunde,Universit?tHamburg |
| 推荐引用方式 GB/T 7714 | Xiaowei WANG,Chuanyu LIU,Armin K?HL,et al. The adjoint-based Two Oceans One Sea State Estimate(TOOSSE). 2022. |
入库方式： OAI收割
来源：海洋研究所
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