Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model | |
Zhang Kun1,2 ; Mu Mu3; Wang Qiang1,4
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| 2017-05-01 | |
| 发表期刊 | SCIENCE CHINA-EARTH SCIENCES
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| 卷号 | 60期号:5页码:866-875 |
| 文章类型 | Article |
| 摘要 | Using the conditional nonlinear optimal perturbation (CNOP) approach, sensitive areas of adaptive observation for predicting the seasonal reduction of the upstream Kuroshio transport (UKT) were investigated in the Regional Ocean Modeling System (ROMS). The vertically integrated energy scheme was utilized to identify sensitive areas based on two factors: the specific energy scheme and sensitive area size. Totally 27 sensitive areas, characterized by three energy schemes and nine sensitive area sizes, were evaluated. The results show that the total energy (TE) scheme was the most effective because it includes both the kinetic and potential components of CNOP. Generally, larger sensitive areas led to better predictions. The size of 0.5% of the model domain was chosen after balancing the effectiveness and efficiency of adaptive observation. The optimal sensitive area OSen was determined accordingly. Sensitivity experiments on OSen were then conducted, and the following results were obtained: (1) In OSen, initial errors with CNOP or CNOP-like patterns were more likely to yield worse predictions, and the CNOP pattern was the most unstable. (2) Initial errors in OSen rather than in other regions tended to cause larger prediction errors. Therefore, adaptive observation in OSen can be more beneficial for predicting the seasonal reduction of UKT. |
| 关键词 | Sensitive Area Adaptive Observation The Upstream Kuroshio Transport Conditional Nonlinear Optimal Perturbation (Cnop) |
| DOI | 10.1007/s11430-016-9020-8 |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000400551600004 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 版本 | 出版稿 |
| 条目标识符 | http://ir.qdio.ac.cn/handle/337002/137054 |
| 专题 | 海洋环流与波动重点实验室 |
| 作者单位 | 1.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Fudan Univ, Inst Atmospher Sci, Shanghai 200433, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Ocean & Climate Dynam, Qingdao 266237, Peoples R China |
| 第一作者单位 | 海洋环流与波动重点实验室 |
| 推荐引用方式 GB/T 7714 | Zhang Kun,Mu Mu,Wang Qiang. Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model[J]. SCIENCE CHINA-EARTH SCIENCES,2017,60(5):866-875. |
| APA | Zhang Kun,Mu Mu,&Wang Qiang.(2017).Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model.SCIENCE CHINA-EARTH SCIENCES,60(5),866-875. |
| MLA | Zhang Kun,et al."Identifying the sensitive area in adaptive observation for predicting the upstream Kuroshio transport variation in a 3-D ocean model".SCIENCE CHINA-EARTH SCIENCES 60.5(2017):866-875. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Identifying the sens（1350KB） | 期刊论文 | 出版稿 | 限制开放 | CC BY-NC-SA | 浏览 | |
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