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自然变率导致了热带对流层变暖中模式与卫星观测之间的差异。

Natural variability contributes to model-satellite differences in tropical tropospheric warming.

作者信息

Po-Chedley Stephen, Santer Benjamin D, Fueglistaler Stephan, Zelinka Mark D, Cameron-Smith Philip J, Painter Jeffrey F, Fu Qiang

机构信息

Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550;

Program for Climate Model Diagnosis and Intercomparison, Lawrence Livermore National Laboratory, Livermore, CA 94550.

出版信息

Proc Natl Acad Sci U S A. 2021 Mar 30;118(13). doi: 10.1073/pnas.2020962118.

Abstract

A long-standing discrepancy exists between general circulation models (GCMs) and satellite observations: The multimodel mean temperature of the midtroposphere (TMT) in the tropics warms at approximately twice the rate of observations. Using a large ensemble of simulations from a single climate model, we find that tropical TMT trends (1979-2018) vary widely and that a subset of realizations are within the range of satellite observations. Realizations with relatively small tropical TMT trends are accompanied by subdued sea-surface warming in the tropical central and eastern Pacific. Observed changes in sea-surface temperature have a similar pattern, implying that the observed tropical TMT trend has been reduced by multidecadal variability. We also assess the latest generation of GCMs from the Coupled Model Intercomparison Project Phase 6 (CMIP6). CMIP6 simulations with muted warming over the central and eastern Pacific also show reduced tropical tropospheric warming. We find that 13% of the model realizations have tropical TMT trends within the observed trend range. These simulations are from models with both small and large climate sensitivity values, illustrating that the magnitude of tropical tropospheric warming is not solely a function of climate sensitivity. For global averages, one-quarter of model simulations exhibit TMT trends in accord with observations. Our results indicate that even on 40-y timescales, natural climate variability is important to consider when comparing observed and simulated tropospheric warming and is sufficiently large to explain TMT trend differences between models and satellite data.

摘要

通用循环模型(GCMs)与卫星观测之间长期存在差异:热带地区对流层中层(TMT)的多模型平均温度变暖速度约为观测值的两倍。使用单一气候模型的大量模拟集合,我们发现热带TMT趋势(1979 - 2018年)差异很大,并且有一部分模拟结果在卫星观测范围内。热带TMT趋势相对较小的模拟结果伴随着热带中东部太平洋海面变暖的减弱。观测到的海面温度变化具有类似模式,这意味着观测到的热带TMT趋势因年代际变率而降低。我们还评估了耦合模式比较计划第6阶段(CMIP6)的最新一代GCMs。在中东部太平洋变暖减弱的CMIP6模拟也显示热带对流层变暖减弱。我们发现13%的模型模拟结果的热带TMT趋势在观测趋势范围内。这些模拟来自气候敏感度值大小不同的模型,这表明热带对流层变暖的幅度不仅仅是气候敏感度的函数。对于全球平均值,四分之一的模型模拟显示TMT趋势与观测结果一致。我们的结果表明,即使在40年的时间尺度上,在比较观测到的和模拟的对流层变暖时,自然气候变率也是一个需要考虑的重要因素,并且其幅度足以解释模型与卫星数据之间的TMT趋势差异。

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本文引用的文献

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An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence.利用多条证据评估地球气候敏感性
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