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Seasonal and interannual pattern of sea surface temperature in Banda Sea as revealed by self-organizing maps

机译:自组织图揭示的班达海海表温度的季节性和年际变化

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摘要

Seasonal and interannual variations of sea surface temperature (SST) in the Banda Sea are studied for the period of January 1985 through December 2007. A neural network pattern recognition approach based on self-organizing map (SOM) has been applied to monthly SST from the Advanced Very High Resolution Radiometer (AVHRR) Oceans Pathfinder. The principal conclusions of this paper are outlined as follows. There are three different patterns associated with the variations in the monsoonal winds: the southeast and northwest monsoon patterns, and the monsoon-break patterns. The southeast monsoon pattern is characterized by low SST due to the prevailing southeasterly winds that drive Ekman upwelling. The northwest monsoon pattern, on the other hand, is one of high SST distributed uniformly in space. The monsoon-break pattern is a transitional pattern between the northwest and southeast monsoon patterns, which is characterized by moderate SST patterns. On interannual time-scale, the SST variations are significantly influenced by the El Nin ˜o-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) phenomena. Low SST is observed during El Nin ˜o and/or positive IOD events, while high SST appears during La Nin ˜a event. Low SST in the Banda Sea during positive IOD event is induced by upwelling Kelvin waves generated in the equatorial Indian Ocean which propagate along the southern coast of Sumatra and Java before entering the Banda Sea through the Lombok and Ombai Straits as well as through the Timor Passage. On the other hand, during El Nin ˜o (La Nin ˜a) events, upwelling (downwelling) Rossby waves associated with off-equatorial divergence (convergence) in response to the equatorial westerly (easterly) winds in the Pacific, partly scattered into the Indonesian archipelago which in turn induce cool (warm) SST in the Banda Sea
机译:研究了1985年1月至2007年12月期间班达海的海表温度(SST)的季节和年际变化。基于自组织图(SOM)的神经网络模式识别方法已被应用到班达海的SST。先进的超高分辨率辐射计(AVHRR)海洋探路者。本文的主要结论概述如下。季风的变化有三种不同的模式:东南季风模式和西北季风模式,以及季风破裂模式。由于盛行的东南风推动埃克曼上升,东南季风模式的特征是海表温度低。另一方面,西北季风型是在空间上均匀分布的高SST之一。季风破裂型是西北和东南季风型之间的过渡型,其特征是中等的海温型。在每年的时间尺度上,海表温度的变化受到厄尔尼诺-南极涛动(ENSO)和印度洋偶极子(IOD)现象的显着影响。在厄尔尼诺事件和/或正IOD事件期间观察到低的SST,而在拉宁事件中出现高SST。在IOD事件发生期间,班达海的SST较低是由赤道印度洋产生的上升的开尔文波引起的,这些波沿苏门答腊和爪哇岛的南海岸传播,然后经过龙目岛和孟买海峡以及通过帝汶海峡进入班达海。 。另一方面,在厄尔尼诺事件(La Nin 〜a)期间,响应赤道西风(东风)的太平洋上升流(下行流)与离赤道发散(会聚)相关的罗斯比波(部分上升为零)印度尼西亚群岛又在班达海引起凉爽(温暖)的海温

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    Iskandar Iskhaq;

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  • 年度 2010
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