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Contrasting Indian Ocean SST variability with and without ENSO influence: A coupled atmosphere-ocean GCM study

机译:有和没有ENSO影响的印度洋海表温度变化的对比:大气海洋GCM耦合研究

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In this study, we perform experiments with a coupled atmosphere-ocean general circulation model (CGCM) to examine ENSO's influence on the interannual sea-surface temperature (SST) variability of the tropical Indian Ocean. The control experiment includes both the Indian and Pacific Oceans in the ocean model component of the CGCM (the Indo-Pacific Run). The anomaly experiment excludes ENSO's influence by including only the Indian Ocean while prescribing monthly-varying climatological SSTs for the Pacific Ocean (the Indian-Ocean Run). In the Indo-Pacific Run, an oscillatory mode of the Indian Ocean SST variability is identified by a multi-channel singular spectral analysis (MSSA). The oscillatory mode comprises two patterns that can be identified with the Indian Ocean Zonal Mode (IOZM) and a basin-wide warming/cooling mode respectively. In the model, the IOZM peaks about 3-5 months after ENSO reaches its maximum intensity. The basin mode peaks 8 months after the IOZM. The timing and associated SST patterns suggests that the IOZM is related to ENSO, and the basin-wide warming/cooling develops as a result of the decay of the IOZM spreading SST anomalies from western Indian Ocean to the eastern Indian Ocean. In contrast, in the Indian-Ocean Run, no oscillatory modes can be identified by the MSSA, even though the Indian Ocean SST variability is characterized by east-west SST contrast patterns similar to the IOZM. In both control and anomaly runs, IOZM-like SST variability appears to be associated with forcings from fluctuations of the Indian monsoon. Our modeling results suggest that the oscillatory feature of the IOZM is primarily forced by ENSO.
机译:在这项研究中,我们使用大气-海洋总循环模型(CGCM)进行了实验,以检验ENSO对热带印度洋年际海表温度(SST)变异性的影响。对照实验将CGCM(印度太平洋运行)的海洋模型部分包括印度洋和太平洋。异常实验排除了ENSO的影响,仅规定了印度洋,同时规定了太平洋的月度气候SST(印度洋运行)。在印度太平洋运行中,印度洋海表温度变化的振荡模式通过多通道奇异频谱分析(MSSA)进行识别。振荡模式包括两种模式,分别可以通过印度洋分区模式(IOZM)和全盆地范围的增暖/降温模式来识别。在模型中,IOZM在ENSO达到最大强度后约3-5个月达到峰值。流域模式在IOZM之后的8个月达到峰值。时间和相关的海温变化模式表明,IOZM与ENSO有关,并且由于IOZM将SST异常从印度洋西部扩展到印度洋东部,导致了整个盆地的变暖/降温。相比之下,在印度洋海啸中,即使印度洋海表温度的变异性由类似于IOZM的东西方海表对比度模式来表征,MSSA也无法识别出振荡模式。在控制运行和异常运行中,类似于IOZM的SST变异似乎都与印度季风波动引起的强迫有关。我们的建模结果表明,IOZM的振荡特征主要由ENSO强迫。

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