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A robust spatial reconstruction of April to September temperature in Europe: Comparisons between the medieval period and the recent warming with a focus on extreme values

机译:欧洲4月至9月温度的强劲空间重建:中世纪时期与最近的变暖之间的比较,重点是极端值

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This report presents a study of the variability in a recently published April to September gridded reconstruction temperatures in Europe and an analysis of their extremes. This reconstruction was based on tree rings, historical documents, pollen assemblages and ice cores. The methodology used, an original spectral analog method, preserves long-term variations and the variability of temperature series, which guarantees the pertinence of the analysis of the extremes over a period as long as the last millennium. The analysis of the extremes was performed with the peak-over-threshold (POT) method over two warm periods (A.D. 1000-1350 and 1880-2007) and a cold period (A.D. 1350-1950). We found that (1) according to the long-term variations shown in this reconstruction, the growing season temperature during the last decade has exceeded all of those observed during the Medieval period; (2) the return period of the maximum event of the Medieval period has been reduced by at least a factor of 5; and (3) all decades before A.D. 1350 were warm on average but relatively heterogeneous, while the last decade was homogeneously warmer. A new result of this study concerning Europe is that this anthropogenic change is characterized by spatial homogeneity, with similar changes in both average temperatures and in the distribution of extreme events, while natural climate forcings induce warm periods with heterogeneous spatial patterns and less frequent extreme events.
机译:本报告介绍了最近发表的4月至9月欧洲重建网格温度的变异性及其极端情况的分析。重建工作以树木年轮,历史文献,花粉组合和冰芯为基础。所使用的方法是一种原始的光谱模拟方法,可以保留长期变化和温度序列的可变性,从而保证了对长达上一个千年的极端情况进行分析的相关性。在两个温暖时期(公元1000-1350和1880-2007)和一个寒冷时期(公元1350-1950)对极端情况进行了分析。我们发现(1)根据该重建过程中显示的长期变化,过去十年中的生长季节温度已经超过了中世纪时期的所有观测温度; (2)中世纪时期最大事件的回归时期至少减少了5倍; (3)公元1350年之前的整个十年平均温暖,但相对而言是非均质的,而最后十年则平均温暖。这项有关欧洲的研究的新结果是,这种人为变化的特征是空间均一性,平均温度和极端事件的分布都具有类似的变化,而自然气候强迫则诱发了暖和的时期,其空间格局多样且极端事件的发生频率较低。

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