| Lian Zhan,Sun Baonan,Wei Zexun,Wang Yonggang,Wang Xinyi. 2019. A study of intra-seasonal variations in the subsurface water temperatures in the South China Sea. Acta Oceanologica Sinica, 38(4):97－105 |
| A study of intra-seasonal variations in the subsurface water temperatures in the South China Sea |
| 南海次表层水温季节内变化研究 |
| Received:February 09, 2018 |
| DOI：10.1007/s13131-018-1337-7 |
| Key words:intra-seasonal variations depth of 22℃ isotherm South China Sea |
| 中文关键词: 季节内变化 22℃等温线深度 南海 |
| 基金项目:The National Natural Science Foundation of China under contract No. 41506037; the Basic Scientific Fund for the National Public Research Institutes of China under contract No. 2017Q06; the Natural Science Foundation of Shandong Province, China under contract No. ZR2015PD009; the NSFC-Shandong Joint Fund for Marine Science Research Centers under contract No. U1606405. |
| Author Name | Affiliation | E-mail | | Lian Zhan | Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China | | | Sun Baonan | Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China | | | Wei Zexun | Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China | weizx@fio.org.cn | | Wang Yonggang | Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China
Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266237, China | | | Wang Xinyi | Key Laboratory of Marine Science and Numerical Modeling, First Institute of Oceanography, Ministry of Natural Resources, Qingdao 266061, China | |
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| Abstract: |
| Through analysis of the results of a verified high-fidelity numerical model, the intra-seasonal variations (ISVs) in the depth of the 22℃ isotherm (D22) in the South China Sea (SCS) basin are investigated. The results show that the ISVs in the D22 exhibit distinct seasonality in the SCS. The ISVs in the D22 are quite significant, especially within a band along the northwestern boundary of the basin and at the southern end of the basin during boreal winter. In these areas, the ratio of the standard deviations (STDs) of intra-seasonal band to the STDs of total data could exceed 0.6. Although the ISVs in the D22 are detectable in the area affected by the Vietnam Offshore Current during boreal summer and autumn, these variations are sometimes overwhelmed by oscillations with other frequencies. An analysis of the causes of the ISVs in the D22 in the SCS indicates that sea surface fluxes and wind stirring are not the dominant external driving mechanisms of the phenomena described above. The ISVs in the D22 are thought to be induced mainly by the thermodynamic adjustment of the ocean itself and the associated instabilities. The energy of the northern and southern bands that display strong ISVs in the D22 may be derived from eddy kinetic energy, rather than eddy available potential energy. The diversity of the propagation of the ISVs in the D22 is very conspicuous within these two bands. |
| 中文摘要: |
| 通过比较数值模式结果和定点观测数据，本文分析了南海22℃等温线深度的季节内变化。结果显示南海海盆内部22℃等温线深度的季节内变化具有显著的季节特征。在冬季的海盆西北边界处条带区域和海盆最南端区域，该季节内变化最显著。在以上两个区域内，季节内变化导致的方差贡献可达60%以上。尽管在夏季和秋季，越南以东区域，越南离岸流海区的22℃等温线深度季节内变化也较为明显，但是其相较于其它频段的变化，其强度并不十分明显。通过与海面热通量和风应力旋度的相关分析，本文发现南海22℃等温线深度的季节内变化并不是主要由以上两个因素所驱动。因此，该变化可能主要由海洋自身内部的热力动力调整过程或不稳定过程所导致。北部和南部的22℃等温线深度的季节内变化高发区的能量主要由涡动动能所驱动，而不是涡动势能。在这两个区域内，22℃等温线深度的季节内变化传播过程的差异也非常明显。 |
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