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Eurasian autumn snow link to winter North Atlantic Oscillation is strongest for Arctic warming periods

机译:欧亚秋天的雪联系到冬天北大西洋振荡对于北极变暖时期最强

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摘要

In recent years, many components of the connection between Eurasian autumn snow cover and wintertime North Atlantic Oscillation (NAO) have been investigated, suggesting that November snow cover distribution has strong prediction power for the upcoming Northern Hemisphere winter climate. However, the non-stationarity of this relationship could impact its use for prediction routines. Here we use snow products from long-term reanalyses to investigate interannual and interdecadal links between autumnal snow cover and atmospheric conditions in winter. We find evidence for a negative NAO-like signal after November with a strong west-to-east snow cover gradient, which is valid throughout the last 150 years. This correlation is consistently linked to a weak stratospheric polar vortex state. Nevertheless, decadal evolution of this link shows episodes of decreased correlation strength, which co-occur with episodes of low variability in the November snow index. By contrast, periods with high prediction skill for winter NAO are found in periods of high November snow variability, which co-occur with the Arctic warming periods of the 20th century, namely the early 20th-century Arctic warming between 1920 and 1940 and the ongoing anthropogenic global warming at the end of the 20th century. A strong snow dipole itself is consistently associated with reduced Barents–Kara sea ice concentration, increased Ural blocking frequency and negative temperature anomalies in eastern Eurasia.
机译:近年来,欧亚秋季雪覆盖与冬季大西洋振荡(NAO)之间的许多组成部分已经被调查,这表明11月的雪覆盖分配对即将到来的北半球冬季气候有很强的预测力量。然而,这种关系的非公平性可能影响其对预测例程的用途。在这里,我们使用长期Reanalyses的雪地产品来调查冬季秋季雪覆盖和大气条件之间的际和跨部门联系。 11月后,我们在11月以来的较强的西北雪覆盖梯度,我们找到了负面NAO的信号的证据,这在过去的150年里有效。这种相关性与弱平衡层极性涡旋状态一致。然而,这一环节的二等演化表明了相关强度降低的剧集,其在11月雪指数中的低变异性与低变异剧集共同发生。相比之下,冬季NAO的高预测技巧的时期都在高11月的雪变率的时期发现,这与20世纪的北极变暖时期共同发生,即1920年至1940年间的20世纪初北极变暖,正在进行的20世纪末的人为全球变暖。强大的雪偶极本身与低欧亚亚洲东部的尿精 - 卡拉海冰浓度,尿布阻断频率和负温度异常增加始终如一。

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