尽管气候变化,1963 年这样的中欧极寒之冬还会再次发生吗?

Sebastian Sippel, Clair R. Barnes, Camille Cadiou, E. Fischer, S. Kew, Marlene Kretschmer, S. Philip, Theodore G. Shepherd, Jitendra Singh, R. Vautard, P. Yiou
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引用次数: 0

摘要

摘要自 20 世纪中期以来,中欧地区的冬季已明显变暖。然而,寒冷的冬季仍然会对能源系统、基础设施和公众健康造成严重的社会影响。因此,预测最坏情况下寒冷冬季的故事情节并了解极寒冬季(如 1963 年德国历史记录中最寒冷的冬季(-6.3 °C,或相对于 1981-2010 年的 12 月-1 月-2 月(DJF)季节性温度异常值-3.4σ))在气候变暖的情况下是否仍有可能发生至关重要。在这里,我们首先根据多种归因方法表明,在当今气候条件下,一个与1963年环流条件相似的冬季仍会导致约-4.9至-4.7 ℃的极端季节性寒冷异常(各种方法的最佳估计值)。这将是过去 75 年中第二冷的冬季。其次,我们根据两种独立的罕见事件取样方法(气候模型增强和经验重要性取样),设想了最坏情况下寒冷冬季的故事情节:1963 年那样寒冷的冬季在今天的中欧仍有可能发生,尽管可能性很小。虽然在气候整体变暖的情况下,寒冬灾害的发生频率和强度都会降低,但预测极寒冬季的可能性以避免潜在的适应不良和脆弱性增加仍然至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Could an extremely cold central European winter such as 1963 happen again despite climate change?
Abstract. Central European winters have warmed markedly since the mid-20th century. Yet cold winters are still associated with severe societal impacts on energy systems, infrastructure, and public health. It is therefore crucial to anticipate storylines of worst-case cold winter conditions and to understand whether an extremely cold winter, such as the coldest winter on the historical record of Germany in 1963 (−6.3 °C or −3.4σ seasonal December–January–February (DJF) temperature anomaly relative to 1981–2010), is still possible in a warming climate. Here, we first show based on multiple attribution methods that a winter of similar circulation conditions to 1963 would still lead to an extreme seasonal cold anomaly of about −4.9 to −4.7 °C (best estimates across methods) under present-day climate. This would rank as the second-coldest winter in the last 75 years. Second, we conceive storylines of worst-case cold winter conditions based on two independent rare event sampling methods (climate model boosting and empirical importance sampling): a winter as cold as 1963 is still physically possible in central Europe today, albeit very unlikely. While cold winter hazards become less frequent and less intense in a warming climate overall, it remains crucial to anticipate the possibility of an extremely cold winter to avoid potential maladaptation and increased vulnerability.
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