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人类活动导致降水极端事件更强烈。

Human contribution to more-intense precipitation extremes.

机构信息

Climate Research Division, Environment Canada, Toronto, Ontario M3H5T4, Canada.

出版信息

Nature. 2011 Feb 17;470(7334):378-81. doi: 10.1038/nature09763.

Abstract

Extremes of weather and climate can have devastating effects on human society and the environment. Understanding past changes in the characteristics of such events, including recent increases in the intensity of heavy precipitation events over a large part of the Northern Hemisphere land area, is critical for reliable projections of future changes. Given that atmospheric water-holding capacity is expected to increase roughly exponentially with temperature--and that atmospheric water content is increasing in accord with this theoretical expectation--it has been suggested that human-influenced global warming may be partly responsible for increases in heavy precipitation. Because of the limited availability of daily observations, however, most previous studies have examined only the potential detectability of changes in extreme precipitation through model-model comparisons. Here we show that human-induced increases in greenhouse gases have contributed to the observed intensification of heavy precipitation events found over approximately two-thirds of data-covered parts of Northern Hemisphere land areas. These results are based on a comparison of observed and multi-model simulated changes in extreme precipitation over the latter half of the twentieth century analysed with an optimal fingerprinting technique. Changes in extreme precipitation projected by models, and thus the impacts of future changes in extreme precipitation, may be underestimated because models seem to underestimate the observed increase in heavy precipitation with warming.

摘要

极端天气和气候会对人类社会和环境造成毁灭性的影响。了解过去此类事件特征的变化,包括近年来北半球大部分陆地地区强降水事件强度的增加,对于可靠预测未来的变化至关重要。鉴于大气持水能力预计会随温度大致呈指数级增长,而且大气含水量也在按照这一理论预期增加,有人认为人为引起的全球变暖可能是强降水增加的部分原因。然而,由于每日观测数据有限,大多数先前的研究仅通过模型-模型比较来研究极端降水变化的潜在可探测性。在这里,我们表明,温室气体人为增加导致了在大约三分之二的北半球陆地地区数据覆盖范围内发现的强降水事件的观测到的强度增加。这些结果基于对过去 20 世纪后半叶的极端降水的观测和多模式模拟变化进行比较,采用了最优指纹识别技术。模型预测的极端降水变化,以及未来极端降水变化的影响,可能被低估了,因为模型似乎低估了观测到的强降水随变暖而增加的情况。

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