Water mass characteristics in the western North Pacific based on a streamfunction projection
文献类型：CNKI期刊论文
| 作者 | MA Xiao ; SUN Che
|
| 发表日期 | 2015-11-01 |
| 出处 | Science China(Earth Sciences)
 |
| 关键词 | streamfunction projection,gravest empirical mode,water masses,western North Pacific |
| 英文摘要 | A streamfunction projection method called gravest empirical mode(GEM) is applied to the hydrographic section at 137°E to filter out eddy noises in the western North Pacific and derive quantitative ensemble-average water mass properties in the North Equatorial Current region. The GEM fields capture more than 80% of total property variances in the thermocline layer. The core layer structures of key water masses, including the North Pacific Tropical Water(NPTW) and the North Pacific Intermediate Water(NPIW), are examined with a definition of water mass boundary based on property gradient. It shows that a tongue of maximal root-mean-square(RMS) residual exists in the upper half of NPIW for all water properties. These subsurface RMS tongues appear to be close to sharp property gradients. It is the first time a GEM diagnosis is applied to nutrient data, which reveals a drastic difference of N/P reaction rate ratio above and below the maximal-nutrient core at 1250 m. Additionally, a GEM velocity reconstruction successfully produces the North Equatorial Undercurrent(NEUC), demonstrating the stable thermal-wind nature of this newly-discovered current. |
| 文献子类 | CNKI期刊论文 |
| 资助机构 | supported by the National Basic Research Program of China(Grant No.2012CB417400) ; the National Natural Science Foundation of China(Grant Nos.41421005,U1406401) |
| 卷 | v.58期:11页:176-186 |
| 语种 | 英文; |
| 分类号 | P714.1;P731 |
| ISSN号 | 1674-7313 |
| 源URL | [http://ir.qdio.ac.cn/handle/337002/189874]  |
| 专题 | 中国科学院海洋研究所 |
| 作者单位 | 1.InstituteofOceanology,ChineseAcademyofSciences 2.CollegeofEarthSciences,UniversityofChineseAcademyofSciences |
| 推荐引用方式 GB/T 7714 | MA Xiao,SUN Che. Water mass characteristics in the western North Pacific based on a streamfunction projection. 2015. |
入库方式： OAI收割
来源：海洋研究所
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