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气候模式年代际全球温度变化幅度的差异源于对高纬度海洋的不同看法。

Spread in the magnitude of climate model interdecadal global temperature variability traced to disagreements over high-latitude oceans.

作者信息

Brown Patrick T, Li Wenhong, Jiang Jonathan H, Su Hui

机构信息

Earth and Ocean Sciences, Nicholas School of the Environment, Duke University, Durham, North Carolina 27708.

Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California.

出版信息

Geophys Res Lett. 2016 Dec 28;43(24):12543-12549. doi: 10.1002/2016GL071442. Epub 2016 Dec 21.

Abstract

Unforced variability in global mean surface air temperature can obscure or exaggerate global warming on interdecadal timescales, thus understanding both the magnitude and generating mechanisms of such variability is of critical importance for both attribution studies as well as decadal climate prediction. Coupled atmosphere-ocean general circulation models (climate models) simulate a wide range of magnitudes of unforced interdecadal variability in global mean surface air temperature (UIT), hampering efforts to quantify the influence of UIT on contemporary global temperature trends. Recently, a preliminary consensus has emerged that unforced interdecadal variability in local surface temperatures (UIT) over the tropical Pacific Ocean are particularly influential on UIT. Therefore, a reasonable hypothesis might be that the large spread in the magnitude of UIT across climate models can be explained by the spread in the magnitude of simulated tropical Pacific UIT. Here we show that this hypothesis is mostly false. Instead, the spread in the magnitude of UIT is linked much more strongly to the spread in the magnitude of UIT over high-latitude regions characterized by significant variability in oceanic convection, sea ice concentration, and energy flux at both the surface and the top of the atmosphere (TOA). Thus, efforts to constrain the climate model produced range of UIT magnitude would be best served by focusing on the simulation of air-sea interaction at high latitudes.

摘要

全球平均地表气温的自然变率在年代际时间尺度上可能会掩盖或夸大全球变暖,因此,了解这种变率的幅度及其产生机制对于归因研究和年代际气候预测都至关重要。大气-海洋耦合环流模式(气候模式)模拟出全球平均地表气温(UIT)自然年代际变率的幅度范围很广,这妨碍了人们量化UIT对当代全球气温趋势影响的努力。最近,已初步形成一种共识,即热带太平洋地区局部地表温度(UIT)的自然年代际变率对UIT的影响尤为显著。因此,一个合理的假设可能是,气候模式中UIT幅度的巨大差异可以用模拟的热带太平洋UIT幅度差异来解释。在此我们表明,这一假设基本不成立。相反,UIT幅度的差异与高纬度地区UIT幅度的差异联系更为紧密,这些高纬度地区的海洋对流、海冰浓度以及地表和大气顶层(TOA)的能量通量存在显著变率。因此,若要限制气候模式产生的UIT幅度范围,最好的办法是专注于高纬度地区海气相互作用的模拟。

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