| 印尼贯穿流源区马鲁古海和哈马黑拉海水团来源的气候态分析 |
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| 引用本文： | 王露,谢玲玲,周磊,李强,石雨鑫,李明明.印尼贯穿流源区马鲁古海和哈马黑拉海水团来源的气候态分析[J].海洋学报,2018,40(3):1-15. |
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| 作者姓名： | 王露 谢玲玲 周磊 李强 石雨鑫 李明明 |
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| 作者单位： | 1.广东省近海海洋变化与灾害预警重点实验室, 广东 湛江 524088;广东海洋大学 海洋与气象学院, 广东 湛江 524088 |
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| 基金项目： | “全球变化与海气相互作用”专项资助（GASI-IPOVAI-01-02，GASI-02-SCS-YGST2-02）；国家自然科学基金项目（41476009）。 |
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| 摘 要： | 本文利用World Ocean Atlas 2013（WOA2013）气候态的温盐资料和the Simple Ocean Data Assimilation （SODA v3.3.1）流场数据，分析印尼贯穿流东部源区马鲁古海和哈马黑拉海的水团垂向分布特征及其来源，特别是次表层、中层及深层水的来源和路径。结果表明，气候态下，马鲁古海次表层的高温高盐水来自于北太平洋，与北太平洋热带水性质接近，哈马黑拉海次表层主要是来自南太平洋热带水；中层水以低温低盐为特征，马鲁古海的中层水来自南太平洋，受南极中层水控制，哈马黑拉海的中层水可能是从马鲁古海而来的南太平洋水；对于次表层和中层之间的过渡层，马鲁古海与哈马黑拉海的水源为南、北太平洋的混合水，且两个海域之间也存在着水团交换；在深层，马鲁古海的水源更倾向于班达海北部及塞兰海，而与太平洋水无关，哈马黑拉海由于地形阻挡也难以与太平洋直接发生水团交换。
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| 关 键 词： | 印尼贯穿流 水团来源 哈马黑拉海 马鲁古海 垂向变化 |
| 收稿时间： | 2017/3/10 0:00:00 |
Climatological analysis of water mass sources of Indonesia Throughflow in the Molukka Sea and Halmahera Sea |
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| Wang Lu,Xie Lingling,Zhou Lei,Li Qiang,Shi Yuxin and Li Mingming.Climatological analysis of water mass sources of Indonesia Throughflow in the Molukka Sea and Halmahera Sea[J].Acta Oceanologica Sinica (in Chinese),2018,40(3):1-15. |
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| Authors: | Wang Lu Xie Lingling Zhou Lei Li Qiang Shi Yuxin and Li Mingming |
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| Institution: | Guangdong Key Laboratory of Coastal Ocean Variation and Disaster Prediction, Zhanjiang 524088, China;College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China,Guangdong Key Laboratory of Coastal Ocean Variation and Disaster Prediction, Zhanjiang 524088, China;College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China,Marine Research Institute of Shanghai Jiaotong University, Shanghai 200240, China;Regional Marine Dynamics and Numerical Simulation Functional Laboratory, Qingdao National Laboratory for Ocean Science and Technology, Qingdao 266003, China;State Key Laboratory of Marine Environmental Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China,Guangdong Key Laboratory of Coastal Ocean Variation and Disaster Prediction, Zhanjiang 524088, China;College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China,Guangdong Key Laboratory of Coastal Ocean Variation and Disaster Prediction, Zhanjiang 524088, China;College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China and Guangdong Key Laboratory of Coastal Ocean Variation and Disaster Prediction, Zhanjiang 524088, China;College of Ocean and Meteorology, Guangdong Ocean University, Zhanjiang 524088, China |
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| Abstract: | Using the climatology data of temperature and salinity from the World Ocean Atlas 2013 (WOA2013) and the ocean current data of the Simple Ocean Data Assimilation version 3.3.1 (SODA v3.3.1), the vertical distribution and water mass sources of the Indonesian Throughflow (ITF) in its east pathway are analyzed, especially the sub-surface, intermediate and deep waters in the Molukka Sea and Halmahera Sea. The results show that the warmer and saltier subsurface waters around 24.5σθ (about 150 m) in the Molukka Sea come from the North Pacific (NP), with characteristics close to those of the NP Tropic Water (NPTW), while the subsurface water in the Halmahera Sea is closely related to the South Pacific Tropical Water (SPTW). For the intermediate water around 26.8σθ (about 480 m), which is characterized by low temperature and low salinity, the South Pacific (SP) water intrudes into the Molukka Sea, and further enters the Halmahera Sea from the southwest straits. In the transition layer between the subsurface and intermediate waters, the waters in the Molukka Sea and Halmahera Sea are mixed waters from the NP and the SP. There is water exchange between the two seas. In the deep layer around 27.2σθ (about 850 m), the water in the Molukka Sea is inclined to being from the northern Banda Sea and the Selan Sea. The deep water in the Halmahera Sea is isolated without direct exchange with the Pacific water due to topographic barrier. |
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| Keywords: | Indonesian Throughflow watermass sources Halmahera Sea Molukka Sea vertical variability |
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