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Inter-decadal modulation of ENSO teleconnections to the Indian Ocean in a coupled model: Special emphasis on decay phase of El Nino

机译:耦合模型中ENSO到印度洋遥相关的年代际调制:特别强调厄尔尼诺现象的衰减阶段

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Inter-decadal modulation of El Nino-Southern Oscillation (ENSO) teleconnections to tropical Indian Ocean (TIO) is investigated in the coupled general circulation model Climate Forecast System (CFS) using a hundred year integration. The model is able to capture the periodicity of El Nino variability, which is similar to that of the observations. The maximum TIOorth Indian Ocean (NIO) SST warming (during spring following the decay phase of El Nino) associated with El Nino is well captured by the model. Detailed analysis reveals that the surface heat flux variations mainly contribute to the El Nino forced TIO SST variations both in observations and model. However, spring warming is nearly stationary throughout the model integration period, indicating poor inter-decadal El Nino teleconnections. The observations on the other hand displayed maximum SST warming with strong sea-sonality from epoch to epoch. The model El Nino decay delayed by more than two seasons, results in persistent TIO/NIO SST warming through the following December unlike in the observations. The ocean wave adjustments and persistent westerly wind anomalies over the equatorial Pacific are responsible for late decay of El Nino in the model. Consistent late decay of El Nino, throughout the model integration period (low variance), is mainly responsible for the poor inter-decadal ENSO teleconnections to TIO/NIO. This study deciphers that the model needs to produce El Nino decay phase variability correctly to obtain decadal-modulations in ENSO teleconnection.
机译:在耦合的总环流模式气候预报系统(CFS)中,使用一百年积分研究了厄尔尼诺-南方涛动(ENSO)到热带印度洋(TIO)遥相关的年代际调制。该模型能够捕获厄尔尼诺变异的周期性,这与观测值相似。该模型很好地捕获了与厄尔尼诺现象有关的最大TIO /印度洋北部(NIO)SST增温(厄尔尼诺现象衰减阶段之后的春季)。详细的分析表明,表面热通量的变化主要是造成观测值和模型受厄尔尼诺现象强迫的TIO SST变化的影响。但是,在整个模型集成期间,春季暖化几乎是静止的,这表明年代际厄尔尼诺现象之间的远程联系不佳。另一方面,从一个时期到另一个时期,观测结果显示了最大的海表温度变暖和强烈的海平面性。与观测值不同,厄尔尼诺现象模型的衰变延迟了两个多季度,导致TIO / NIO SST持续升温至下一个12月。赤道太平洋上的海浪调整和持续的西风异常是造成该模型中厄尔尼诺现象晚衰的原因。在整个模型集成期间,厄尔尼诺现象的持续后期衰减(低方差)主要是与TIO / NIO年代际ENSO远程连接不良的主要原因。这项研究认为,该模型需要正确产生El Nino衰减相位变异性,才能获得ENSO遥连接中的年代际调制。

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