由数据同化产品导出南海海表面高度的变化-海洋预报

由数据同化产品导出南海海表面高度的变化

单位：1. 广东海洋大学南海海洋环境研究所湛江 524088;
2. 海军海洋水文气象中心北京 100073

分类号：P731

出版年·卷·期（页码）：2008·25·第四期（102-107）

摘要：

根据47年月平均的海表面高度序列(SODA-Simple Ocean Data Assimilation数据同化产品),运用经验正交函数(Empirical Orthogonal Function-EOF)的方法,分析了南海海面高度的季节与年际变化。在季节变化尺度上,第一模态体现了对南海上层环流季节变化的传统认识,占有绝对比重(84%);第二模态解析了14%的方差,越南中部沿岸约11°～12°N向东的急流和上升流出现在该模态中。经13个月滑动平均过滤年变化信号后,南海海表面高度变化的前2个模态都表明与ENSO关系密切。年际变化的第一模态说明,厄尔尼诺年整个海面高度出现负异常,特别是南海暖池附近区域。研究结果似乎表明广东沿岸附近海面变化也与ENSO有关。

Based on monthly mean field of sea surface height (SODA-Simple Ocean Data Assimilation), the seasonal and interannual variation of sea surface height in the South China Sea (SCS) is studied using Empirical Orthogonal Function (EOF). In seasonal timescale, the first EOF mode demonstrates traditional understanding on the upper circulation and it accounts for 84% of total variances. The second EOF mode explains 14% of total variance, and the eastward jet off Vietnam about along 11°～12°N and upwelling appears in this mode. After the annual signal is removed by 13 month running mean, the first two EOF modes suggest the interannual variation is closely related to ENSO. The first EOF mode shows negative anomaly happens during El Nino year, especially the SCS warm pool. The result seems to indicate that variation near Guangdong coast is related to ENSO.

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