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South China Sea warm-core and cold-core eddies detected from the Navy's Master Oceanographic Observation Data Set (MOODS)

机译:从海军总海洋观测数据集(MOODS)中检测到南海暖核和冷核涡流

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摘要

A South China Sea warm core eddy with sea surface temperatures (SST) higher than 29.5 C, recently reported by Chu and Chang (1995), appears in the central South China Sea (west of Luzon Island) in boreal spring, and strengthens until the onset of the summer monsoon (mid-May), then weakens and disappears at the end of May. Although its size and intensity varies, the warm core eddy releases large moisture and heat fluxes into the atmosphere and in turn affects the monsoon circulation. The transient features and interannual variabilities of the warm core eddy have not yet been studied. In this study we use 189,059 temperature profiles from the U.S. Navy's Master Oceanographic Observation Data Set (MOODS) to investigate the eddy features. We use Optimal Interpolation to create a ten-day interval synoptic data set for 1964-84 on a 0.5 x 1 deg. grid (finer resolution in zonal direction) from the MOODS SST data. Then, we formulate an Emprical Orthogonal Functions (EOF) analysis. The first EOF mode accounts for 35.5% of the variance and is characterized by a field which is similar to the mean field. The second EOF mode accounts for 21.4% of the variance and is characterized by a meso-scale eddy (1l6 - 1l9 E, 16 - 19 N) to the west of Luzon Island. The size of the eddy is around 100,000 km2. The time series of EOF2 behave differently between El Niflo and non-El Niflo years: a warm-core eddy often appears during the non- El Niflo years, and a cold-core eddy usually exists during the El Niflo years. A new scenario of the air sea feedback is proposed for the warm core eddy formation in non-El Nino years and the cold core eddy formation in El Nino years.
机译:Chu和Chang(1995)最近报道,南海暖芯涡海面温度(SST)高于29.5 C,出现在北方春季的南海中部(吕宋岛以西),一直持续到北半球。夏季风(5月中旬)发作,然后在5月底减弱并消失。尽管其大小和强度各不相同,但温暖的核心涡流会释放大量的水分和热通量进入大气,进而影响季风循环。尚未研究暖芯涡的瞬态特征和年际变化。在这项研究中,我们使用了美国海军海洋总观测数据集(MOODS)的189,059个温度曲线来研究涡旋特征。我们使用“最佳插值”在0.5 x 1度上创建1964-84年的10天间隔天气数据集。 MOODS SST数据的网格(区域方向上的精细分辨率)。然后,我们制定了经验正交函数(EOF)分析。第一种EOF模式占方差的35.5%,其特征在于与平均值字段相似的字段。第二种EOF模式占方差的21.4%,其特征是吕宋岛以西的中尺度涡(116-119E,16-19 N)。涡流的大小约为100,000平方千米。 EOF2的时间序列在El Niflo年和非El Niflo年之间表现不同:在非El Niflo年期间经常出现暖芯涡,而在El Niflo年期间通常存在冷芯涡。对于非厄尔尼诺年份的暖芯涡形成和厄尔尼诺年份的冷芯涡形成,提出了一种新的海气反馈方案。

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    Tseng Hsing-Chia;

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  • 年度 1995
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