平均和变率变化在欧洲年和季节极端降水事件变化中的作用

R. R. Wood
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引用次数: 1

摘要

摘要极端降水的频率会随着气候变暖而变化。因此,极端降水事件发生的变化受到平均值变化和变异性变化的影响。它们中的任何一个(平均值或变异性)对极端降水量变化的贡献有多大,目前还不得而知。然而,这有助于更好地理解极端气候变化的方式和原因。在本研究中,使用了两组来自区域CRCM5初始条件大型系综的强迫实验:一组由50名成员组成的具有历史和RCP8.5强迫的系综和一组由35名成员(700年)组成的前工业自然强迫系综。概率风险比的概念用于将极端事件发生的变化划分为平均气候变化或可变性变化的贡献。结果表明,变异性变化的贡献在某些方面与平均值的变化同等重要,甚至可能超过它们。贡献水平显示出高度的空间变异性,这突出了区域进程对极端变化的重要性。虽然在斯堪的纳维亚半岛或中欧,平均值对极端情况下的增长影响更大,但法国、伊比利亚半岛和地中海的变化不变性推动了增长。对于年度极值,均值贡献率和变异性之间的差异较小,而在季节尺度上,差异不显著性变得更大。在冬季(DJF),平均值对极端事件的增加贡献更大,而在夏季(JJA),变化的不变性驱动了极端事件的变化。时间聚集水平(3、24、72 h) 对年极端和冬季极端只有很小的影响,而在夏季,变异性的贡献会随着时间的延长而增加。事件定义的极端程度通常会增加可变性的作用。这些结果突出表明,需要更好地了解气候变异性的变化,以更好地了解极端气候变化背后的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of mean and variability change in changes in European annual and seasonal extreme precipitation events
Abstract. The frequency of precipitation extremes is set to change in response to a warming climate. Thereby, the change in extreme precipitation event occurrence is influenced by both a shift in the mean and a change in variability. How large the individual contributions are from either of them (mean or variability) to the change in precipitation extremes is largely unknown. This is, however, relevant for a better understanding of how and why climate extremes change. For this study, two sets of forcing experiments from the regional CRCM5 initial-condition large ensemble are used: a set of 50 members with historical and RCP8.5 forcing and a 35-member (700-year) ensemble of pre-industrial natural forcing. The concept of the probability risk ratio is used to partition the change in extreme-event occurrence into contributions from a change in mean climate or a change in variability. The results show that the contributions from a change in variability are in parts equally important to changes in the mean and can even exceed them. The level of contributions shows high spatial variation, which underlines the importance of regional processes for changes in extremes. While over Scandinavia or central Europe the mean influences the increase in extremes more, the increase is driven by changes in variability over France, the Iberian Peninsula, and the Mediterranean. For annual extremes, the differences between the ratios of contribution of mean and variability are smaller, while on seasonal scales the difference in contributions becomes larger. In winter (DJF) the mean contributes more to an increase in extreme events, while in summer (JJA) the change in variability drives the change in extremes. The level of temporal aggregation (3, 24, 72 h) has only a small influence on annual and winterly extremes, while in summer the contribution from variability can increase with longer durations. The level of extremeness for the event definition generally increases the role of variability. These results highlight the need for a better understanding of changes in climate variability to better understand the mechanisms behind changes in climate extremes.
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