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Frequency of extreme EI Nino and La Nina events under global warming

机译:全球变暖下极端El Nino和La Nina事件的频率

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摘要

The El Nino-Southern Oscillation (ENSO) is a quasi-periodical natural phenomenon occurring in the tropical Pacific whose characteristics can be influenced by global warming. Using outputs of 14 general circulation models (GCMs) participating in the Coupled Model Intercomparison Project Phase 5 (CMIP5), the numbers of extreme El Nino and La Nina events are analyzed for the 50-year period in the future (2050-2099) under the RCP4.5 and RCP8.5 scenarios relative to those during the historical period 1950-1999. Analyses are based on the Oceanic Nino Index (ONI) and the modified Cai index that is defined in this study. Our approach deviates from that of Cai et al. (Nat Clim Change 4:111-116, 2014, Nat Clim Change 5:132-137, 2015b), who used rainfall thresholds to identify extreme El Nino events but sea surface temperature (SST) thresholds to identify extreme La Nina events. Analysis of SST and rainfall in the tropical Pacific indicated that under global warming the eastern equatorial Pacific warms faster than the surrounding ocean waters, which is accompanied by an increase of rainfall in the eastern equatorial Pacific. Thus, changes in the mean state of the tropical Pacific climate will be like an El Nino pattern under global warming. By applying the ONI, it is found that the number of very strong El Nino events slightly increases under global warming, while the rate of increase in the number of very strong La Nina events is greater than that of very strong El Nino events. Analysis based on the modified Cai index indicates a slight decrease in the number of extreme El Nino events and a slight increase in the number of extreme La Nina events under global warming. Thus, results of several previous studies which concluded that the number of extreme El Nino events nearly doubles under global warming are not supported by results of this study.
机译:El Nino-Southern振荡(ENSO)是一种在热带太平洋中发生的准周期性自然现象,其特征可能受到全球变暖的影响。使用参与耦合型号的耦合型号互联项目阶段5(CMIP5)的总循环模型(GCM)的输出,在未来的50年期间分析了极端El Nino和La Nino和La Nino事件的数量(2050-2099) rcp4.5和rcp8.5相对于1950 - 1999年历史期间的情景。分析基于海洋NINO指数(oni)和本研究中定义的修改的CAI指数。我们的方法偏离了Cai等人的方法。 (NAT Chem变更4:111-116,2014,Nat Chill 5:132-137,2015B),使用降雨阈值来识别极端的El Nino事件,但海面温度(SST)阈值以识别极端的La Nina事件。热带太平洋的SST和降雨分析表明,在全球变暖下,东部赤道太平洋温暖比周围的海水更快,伴随着东部赤道太平洋的降雨量增加。因此,在全球变暖下,热带太平洋气候的平均状态的变化将像El Nino模式。通过应用ONI,发现在全球变暖下非常强大的EL NINO事件的数量略有增加,而非常强烈的LA NINA事件数量的增加率大于非常强大的EL NINO事件。基于修改的CAI指数的分析表明全球变暖下极端EL NINO事件数量和极端LA NINA事件数量略有下降。因此,若干先前研究的结果得出结论认为,这项研究结果不支持在全球变暖下几乎双打的极端el Nino事件的数量。

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