Kornhuber Kai, Bartusek Samuel, Seager Richard, Schellnhuber Hans Joachim, Ting Mingfang
International Institute for Applied Systems Analysis, Laxenburg 2361, Austria.
Lamont-Doherty Earth Observatory, Columbia University, New York, NY 10964.
Proc Natl Acad Sci U S A. 2024 Dec 3;121(49):e2411258121. doi: 10.1073/pnas.2411258121. Epub 2024 Nov 26.
Multiple recent record-shattering weather events raise questions about the adequacy of climate models to effectively predict and prepare for unprecedented climate impacts on human life, infrastructure, and ecosystems. Here, we show that extreme heat in several regions globally is increasing significantly and faster in magnitude than what state-of-the-art climate models have predicted under present warming even after accounting for their regional summer background warming. Across all global land area, models underestimate positive trends exceeding 0.5 °C per decade in widening of the upper tail of extreme surface temperature distributions by a factor of four compared to reanalysis data and exhibit a lower fraction of significantly increasing trends overall. To a lesser degree, models also underestimate observed strong trends of contraction of the upper tails in some areas, while moderate trends are well reproduced in a global perspective. Our results highlight the need to better understand and model the drivers of extreme heat and to rapidly mitigate greenhouse gas emissions to avoid further harm from unexpected weather events.
近期多个破纪录的天气事件引发了人们对气候模型能否有效预测和应对气候对人类生活、基础设施及生态系统造成的前所未有的影响的质疑。在此,我们表明,全球多个地区的极端高温正在显著增加,其强度增长速度比当前最先进的气候模型在考虑区域夏季背景变暖后对当前变暖情况的预测还要快。在全球所有陆地面积上,与再分析数据相比,模型低估了极端地表温度分布上尾拓宽的正趋势,即每十年超过0.5摄氏度的情况达四倍之多,并且总体上显著增加趋势的比例更低。在较小程度上,模型也低估了一些地区观测到的上尾收缩的强烈趋势,不过从全球角度来看,中等趋势得到了较好的再现。我们的结果凸显了更好地理解和模拟极端高温驱动因素以及迅速减少温室气体排放以避免意外天气事件造成进一步危害的必要性。