Zheng Zhonghua, Zhao Lei, Oleson Keith W
Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Nat Commun. 2021 Jun 18;12(1):3736. doi: 10.1038/s41467-021-24113-9.
Urban heat waves (UHWs) are strongly associated with socioeconomic impacts. Here, we use an urban climate emulator combined with large ensemble global climate simulations to show that, at the urban scale a large proportion of the variability results from the model structural uncertainty in projecting UHWs in the coming decades under climate change. Omission of this uncertainty would considerably underestimate the risk of UHW. Results show that, for cities in four high-stake regions - the Great Lakes of North America, Southern Europe, Central India, and North China - a virtually unlikely (0.01% probability) UHW projected by single-model ensembles is estimated by our model with probabilities of 23.73%, 4.24%, 1.56%, and 14.76% respectively in 2061-2070 under a high-emission scenario. Our findings suggest that for urban-scale extremes, policymakers and stakeholders will have to plan for larger uncertainties than what a single model predicts if decisions are informed based on urban climate simulations.
城市热浪(UHWs)与社会经济影响密切相关。在此,我们使用城市气候模拟器结合大规模集合全球气候模拟表明,在城市尺度上,很大一部分变率源于在气候变化下预测未来几十年城市热浪时模型结构的不确定性。忽略这种不确定性将大大低估城市热浪的风险。结果表明,对于北美五大湖、南欧、印度中部和中国北方这四个高风险地区的城市,在高排放情景下,单模型集合预测的几乎不太可能发生(概率为0.01%)的城市热浪,我们的模型估计在2061 - 2070年发生的概率分别为23.73%、4.24%、1.56%和14.76%。我们的研究结果表明,对于城市尺度的极端事件,如果基于城市气候模拟做出决策,政策制定者和利益相关者将不得不应对比单一模型预测更大的不确定性。