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首页> 外文期刊>Journal of Climate >Understanding Diverse Model Projections of Future Extreme El Nino
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Understanding Diverse Model Projections of Future Extreme El Nino

机译:了解未来极端El Nino的不同模型预测

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摘要

The majority of future projections in the Coupled Model Intercomparison Project (CMIP5) show more frequent exceedances of the 5 mm day(-1) rainfall threshold in the eastern equatorial Pacific rainfall during El Nino, previously described in the literature as an increase in "extreme El Nino events"; however, these exceedance frequencies vary widely across models, and in some projections actually decrease. Here we combine single-model large ensemble simulations with phase 5 of the Coupled Model Intercomparison Project (CMIP5) to diagnose the mechanisms for these differences. The sensitivity of precipitation to local SST anomalies increases consistently across CMIP-class models, tending to amplify extreme El Nino occurrence; however, changes to the magnitude of ENSO-related SST variability can drastically influence the results, indicating that understanding changes to SST variability remains imperative. Future El Nino rainfall intensifies most in models with 1) larger historical cold SST biases in the central equatorial Pacific, which inhibit future increases in local convective cloud shading, enabling more local warming; and 2) smaller historical warm SST biases in the far eastern equatorial Pacific, which enhance future reductions in stratus cloud, enabling more local warming. These competing mechanisms complicate efforts to determine whether CMIP5 models under- or overestimate the future impacts of climate change on El Nino rainfall and its global impacts. However, the relation between future projections and historical biases suggests the possibility of using observable metrics as "emergent constraints" on future extreme El Nino, and a proof of concept using SSTA variance, precipitation sensitivity to SST, and regional SST trends is presented.
机译:耦合模式相互比较项目(CMIP5)中的大多数未来预测显示,在厄尔尼诺期间,东赤道太平洋降雨更频繁地超过5毫米日(-1)降雨阈值,之前在文献中描述为“极端厄尔尼诺事件”的增加;然而,这些超越频率在不同的模型中差异很大,在一些预测中实际上会降低。在这里,我们将单模型大型集合模拟与耦合模型相互比较项目(CMIP5)的第5阶段相结合,以诊断这些差异的机制。在CMIP类模式中,降水对局部海温异常的敏感性持续增加,倾向于放大极端厄尔尼诺现象的发生;然而,与ENSO相关的SST变化幅度的变化会极大地影响结果,这表明了解SST变化仍然是必要的。未来的厄尔尼诺降雨在模型中最为加剧:1)赤道太平洋中部历史上较大的冷SST偏差,这抑制了未来局部对流云阴影的增加,导致更多的局部变暖;2)赤道太平洋远东地区历史上较小的暖SST偏差,这会增强未来层云的减少,从而导致更多的局部变暖。这些相互竞争的机制使确定CMIP5模型是否低估或高估了气候变化对厄尔尼诺降水及其全球影响的未来影响的工作复杂化。然而,未来预测和历史偏差之间的关系表明,有可能使用可观测指标作为未来极端厄尔尼诺的“紧急约束”,并提出了使用海温异常方差、降水对海温的敏感性和区域海温趋势的概念证明。

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