On the Annual Variations in the Amplitude of 25-70-Day Intraseasonal Atmospheric Oscillations in Central Africa

A. T. Sandjon, Armand Nzeukou
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引用次数: 1

Abstract

In this paper we analyzed the annual variations in the 25-70-day intraseasonal atmospheric oscillations in central Africa, for the period 1981-2010, using the Outgoing Longwave OLR data. We then extracted the amplitude time series of the dominant modes of intraseasonal variability in 25-70 days filtered OLR anomalies, using Empirical Orthogonal Functions (EOF) analysis. The EOF analysis has shown that three dominant modes characterized the intraseasonal atmospheric oscillation in Central Africa. The amount of variance explained by these three retained EOFs are 19.3%, 13.6% and 11.8% respectively, and they exhibit higher spatial loading over Northern Congo, Southern Ethiopia, and Southwestern Tanzania, respectively. The analysis of Principal Components (PCs) time series showed that the amplitude and of the intraseasonal oscillations (ISO) exhibit large annual variations. In fact the highest values of ISO amplitude are generally observed during October-April season, and much weakened signal the rest of the year. The fraction of yearly Madden Julian Oscillation (MJO) power, occurring within October-April season are 79.3%, 77.92%, 78.73% for EOF1, EOF2, and EOF3, respectively.
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中非地区25-70天季内大气振荡振幅的年变化
本文利用外发长波OLR数据,分析了1981-2010年中非地区25-70天季内大气振荡的年变化。然后,我们利用经验正交函数(EOF)分析,提取了25-70天过滤后的OLR异常的季节内变异主要模态的振幅时间序列。EOF分析表明,中非的季节内大气振荡具有三种主导模态。这三种保留的EOFs解释的变异量分别为19.3%、13.6%和11.8%,它们在刚果北部、埃塞俄比亚南部和坦桑尼亚西南部分别表现出更高的空间负荷。主成分(PCs)时间序列分析表明,季节内振荡(ISO)的振幅和年际变化较大。实际上,ISO振幅的最大值通常在10月至4月期间观测到,而在一年中的其他时间则弱得多。EOF1、EOF2和EOF3在10 - 4月期间发生的MJO功率分别占全年MJO功率的79.3%、77.92%和78.73%。
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