Quantifying the Dependence of Westerly Wind Bursts on the Large-Scale Tropical Pacific SST
Quantifying the Dependence of Westerly Wind Bursts on the Large-Scale Tropical Pacific SST
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DOI：
10.1175/jcli4138a.1
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发表时间：
2007-06
影响因子：
4.9
通讯作者：
E. Tziperman;Lisan Yu
中科院分区：
文献类型：
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作者：
E. Tziperman;Lisan Yu
摘要利用奇异值分解方法分析了赤道太平洋西风爆发（WWBs）特征参数与大尺度海温的相关性。WWB参数包括给定SST分布的振幅、位置、尺度和发生概率，而不是风应力本身。因此，这种方法允许SST和WWB的风信号之间存在非线性关系。结果发现，只有两个大尺度SST模态可以解释约一半的WWB参数的方差。第一种模式代表发展的厄尔尼诺事件，而第二种模式代表季节性周期。更具体地说，WWB的中心经度，它们的纵向范围和它们的概率似乎在很大程度上由ENSO驱动的信号决定。WWBs的振幅被发现是强烈的季节性周期的阶段的影响。它的结论是，WWBs，而部分随机，似乎是一个内在的。
Abstract The correlation between parameters characterizing observed westerly wind bursts (WWBs) in the equatorial Pacific and the large-scale SST is analyzed using singular value decomposition. The WWB parameters include the amplitude, location, scale, and probability of occurrence for a given SST distribution rather than the wind stress itself. This approach therefore allows for a nonlinear relationship between the SST and the wind signal of the WWBs. It is found that about half of the variance of the WWB parameters is explained by only two large-scale SST modes. The first mode represents a developed El Nino event, while the second mode represents the seasonal cycle. More specifically, the central longitude of WWBs, their longitudinal extent, and their probability seem to be determined to a significant degree by the ENSO-driven signal. The amplitude of the WWBs is found to be strongly influenced by the phase of the seasonal cycle. It is concluded that the WWBs, while partially stochastic, seem an inheren...