Predictable decadal forcing of the North Atlantic jet speed by sub-polar North Atlantic sea surface temperatures

Kristian Strommen, Tim Woollings, Paolo Davini, Paolo Ruggieri, Isla R. Simpson
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Abstract

Abstract. It has been demonstrated that decadal variations in the North Atlantic Oscillation (NAO) can be predicted by current forecast models. While Atlantic Multidecadal Variability (AMV) in sea surface temperatures (SSTs) has been hypothesised as the source of this skill, the validity of this hypothesis and the pathways involved remain unclear. We show, using reanalysis and data from two forecast models, that the decadal predictability of the NAO can be entirely accounted for by the predictability of decadal variations in the speed of the North Atlantic eddy-driven jet, with no predictability of decadal variations in the jet latitude. The sub-polar North Atlantic (SPNA) is identified as the only obvious common source of an SST-based signal across the models and reanalysis, and the predictability of the jet speed is shown to be consistent with a forcing from the SPNA visible already within a single season. The pathway is argued to be tropospheric in nature, with the SPNA-associated heating extending up to the mid-troposphere, which alters the meridional temperature gradient around the climatological jet core. The relative roles of anthropogenic aerosol emissions and the Atlantic Meridional Overturning Circulation (AMOC) at generating predictable SPNA variability are also discussed. The analysis is extensively supported by the novel use of a set of seasonal hindcasts spanning the 20th century and forced with prescribed SSTs.
北大西洋亚极海面温度对北大西洋喷射速度的可预测年代际强迫
摘要研究表明,现有的预报模式可以预测北大西洋涛动(NAO)的年代际变化。虽然海面温度(SSTs)的大西洋多年代际变率(AMV)已被假设为这一技能的来源,但这一假设的有效性和所涉及的途径仍不清楚。我们利用再分析和两个预报模式的数据表明,北大西洋涡旋驱动的急流速度的年代际变化的可预测性完全可以解释NAO的年代际变化,而急流纬度的年代际变化则无法预测。亚极北大西洋(SPNA)被确定为所有模式和再分析中唯一明显的基于海温的信号的共同来源,并且喷气速度的可预测性显示与SPNA在单个季节内已经可见的强迫相一致。该路径被认为是对流层的,与spna相关的加热延伸到对流层中部,这改变了气候喷流核心周围的经向温度梯度。本文还讨论了人为气溶胶排放和大西洋经向翻转环流(AMOC)在产生可预测的SPNA变率中的相对作用。该分析得到了一组跨越20世纪的季节性预测数据的新使用的广泛支持,并采用了规定的海温。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
6.40
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