任雪娟, 钱永甫. 2000: 南海及邻近海区海况季节变化的模拟. 气象学报, (5): 545-555. DOI: 10.11676/qxxb2000.057
引用本文: 任雪娟, 钱永甫. 2000: 南海及邻近海区海况季节变化的模拟. 气象学报, (5): 545-555. DOI: 10.11676/qxxb2000.057
Ren Xuejuan, Qian Yongfu. 2000: NUMERICAL SIMULATIONS OF SEASONAL VARIATIONS OF OCEANIC ELEMENTS IN THE SCS AND ITS NEIGHBORING SEA REGIONS. Acta Meteorologica Sinica, (5): 545-555. DOI: 10.11676/qxxb2000.057
Citation: Ren Xuejuan, Qian Yongfu. 2000: NUMERICAL SIMULATIONS OF SEASONAL VARIATIONS OF OCEANIC ELEMENTS IN THE SCS AND ITS NEIGHBORING SEA REGIONS. Acta Meteorologica Sinica, (5): 545-555. DOI: 10.11676/qxxb2000.057

南海及邻近海区海况季节变化的模拟

NUMERICAL SIMULATIONS OF SEASONAL VARIATIONS OF OCEANIC ELEMENTS IN THE SCS AND ITS NEIGHBORING SEA REGIONS

  • 摘要: 文中使用改进的美国普林斯顿大学区域海洋环流模式(POM)对南海及邻近海区海况季节变化特征进行了数值模拟,所得的主要结果与海洋观测及已有的一些研究结果相吻合。模拟结果表明:1~12月,黑潮南海分支是南海北部的一支重要海流;黑潮右侧的大尺度反气旋性暖涡全年都存在。在所模拟的海区中,南海海区表层海流受季风影响最大,季节变化最明显示。改进的POM对海温的季节变化特征也有较好的模拟能力,能再现西南季风爆发前后,南海及邻近海区表层海温的突增和暖水区的北推过程,以及东北季风开始前后,海温的下降过程。这为以后发展区域海气耦合模式奠定了基础。

     

    Abstract: The characteristics of seasonal variations of oceanic elements in the South China Sea(SCS) and its neighboring sea regions are simulated by using the improved Princeton University Ocean Model(POM) in this paper. The main results are in well agreement with that of the ocean investigations and other simulations. The results show that: the SCS branch of the Kuroshio Current is an important part in the north SCS from Jan. to Dec.; there always exists a large-scale anticyclonic warm vortex on the right of the Kuroshio Current in the whole year. In the model domain, the surface currents of the SCS are greatly influenced by the monsoon with an apparent seasonal variation. The improved POM has fair capacity to simulate the seasonal variation of sea temperature, the sudden increase of the SST and the expanding process of warm water regions to the north before and after the summer monsoon onset as well as the decrease of the SST accompanied with the winter monsoon onset are all well simulated. Those are the foundations of developing a coupled regional ocean-atmospheric model system.

     

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