CMIP6模式模拟历史变暖对瞬态气候响应的紧急约束

F. Nijsse, P. Cox, M. Williamson
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引用次数: 25

摘要

摘要瞬态气候响应(TCR)是与未来几十年变暖最相关的温度敏感性度量,对与《巴黎协定》目标一致的碳预算估算贡献了最大的不确定性(Arora et al., 2019)。在IPCC第五次评估报告(AR5)中,给出的TCR可能范围为1.0 ~ 2.5 K,中心估计值与当时CMIP5地球系统模式(ESMs)的总体平均值(1.8±0.4 K)大致一致。许多最新的CMIP6 esm具有较大的气候敏感性,23个模式中有6个模式的TCR值超过2.5 K,总体平均TCR为2.1±0.4 K。从表面上看,这些最新的ESM结果表明,IPCC可能的TCR范围可能需要向上修正,这将进一步质疑巴黎目标的可行性。本文表明,CMIP6模式非但没有增加气候敏感性的不确定性,反而有助于进一步将TCR的可能范围限制在1.5-2.2 K,中心估计值为1.82 K。我们通过将TCR值与1970年以来的全球变暖联系起来的紧急约束方法得出了这一结论。当我们将相同的方法应用于CMIP5模型时,我们确认了对TCR的一致紧急约束(Jimenez-de-la Cuesta和Mauritsen, 2019)。我们对TCR的紧急约束得益于CMIP6模式中较大范围的TCR值,以及将历史模拟扩展到气溶胶强迫的不确定变化对全球变暖趋势的影响要小得多的时期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An emergent constraint on Transient Climate Response from simulated historical warming in CMIP6 models
Abstract. The transient climate response (TCR) is the metric of temperature sensitivity that is most relevant to warming in the next few decades, and contributes the biggest uncertainty to estimates of the carbon budgets consistent with the Paris targets (Arora et al., 2019). In the IPCC 5th Assessment Report (AR5), the stated likely range of TCR was given as 1.0 to 2.5 K, with a central estimate which was broadly consistent with the ensemble mean of the CMIP5 Earth System Models (ESMs) available at the time (1.8 ± 0.4 K). Many of the latest CMIP6 ESMs have larger climate sensitivities, with 6 of 23 models having TCR values above 2.5 K, and an ensemble mean TCR of 2.1 ± 0.4 K. On the face of it, these latest ESM results suggest that the IPCC likely range of TCR may need revising upwards, which would cast further doubt on the feasibility of the Paris targets. Here we show that rather than increasing the uncertainty in climate sensitivity, the CMIP6 models help to further constrain the likely range of TCR to 1.5–2.2 K, with a central estimate of 1.82 K. We reach this conclusion through an emergent constraint approach which relates the value of TCR to the global warming from 1970 onwards. We confirm a consistent emergent constraint on TCR when we apply the same method to CMIP5 models (Jimenez-de-la Cuesta and Mauritsen, 2019). Our emergent constraint on TCR benefits from both the large range of TCR values across the CMIP6 models, and also from the extension of the historical simulations into a period when the uncertain changes in aerosol forcing have had a far less significant impact on the trend in global warming.
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