测试突发约束中的假设:为什么 "全球温度变异对平衡气候敏感性的突发约束 "对 CMIP5 有效,而对 CMIP6 无效?

M. Williamson, P. Cox, C. Huntingford, F. Nijsse
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摘要

摘要研究表明,在CMIP5气候模式集合中,全球平均气温年变率与气候敏感性之间的理论推导关系成立(Cox等,2018a,以下简称CHW18)。这种所谓的新兴关系随后被用于观测,将平衡气候敏感性(ECS)值限制在约 3 ℃。自这项研究发表以来,CMIP6(一个更新的气候模式集合)已经问世。Schlund 等人(2020 年)的研究表明,在 CMIP5 中发现的许多新出现的约束条件在较新的集合中要弱得多,包括 CHW18 的约束条件。由于 CHW18 中的约束条件是基于合理的物理原理推导出的关系,因此我们有兴趣找出它在 CMIP6 中变弱的原因。在此,我们详细研究了在推导 CHW18 中的新兴关系时所作的假设,并对 CMIP5 和 CMIP6 模型进行了检验。我们展示了一个假设,即 ECS 与内部变率参数(一个捕捉混沌内部变率和次年(快速)反馈的参数)之间的低相关性和低变化。当考虑到这一点时,在 CMIP 的两个集合中再次出现了一种新出现的关系,这意味着理论基础仍然适用,而 CHW18 中的原始假设则不适用。但遗憾的是,由于对内部变率参数的观测估计过于不确定,我们无法在 CMIP6 中提供一个新出现的约束条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Testing the assumptions in emergent constraints: why does the “emergent constraint on equilibrium climate sensitivity from global temperature variability” work for CMIP5 and not CMIP6?
Abstract. It has been shown that a theoretically derived relation between annual global mean temperature variability and climate sensitivity held in the CMIP5 climate model ensemble (Cox et al., 2018a, hereafter CHW18). This so-called emergent relationship was then used with observations to constrain the value of equilibrium climate sensitivity (ECS) to about 3 °C. Since this study was published, CMIP6, a newer ensemble of climate models has become available. Schlund et al. (2020) showed that many of the emergent constraints found in CMIP5 were much weaker in the newer ensemble, including that of CHW18. As the constraint in CHW18 was based on a relationship derived from reasonable physical principles, it is of interest to find out why it is weaker in CMIP6. Here, we look in detail at the assumptions made in deriving the emergent relationship in CHW18 and test them for CMIP5 and CMIP6 models. We show one assumption, that of low correlation and variation between ECS and the internal variability parameter, a parameter that captures chaotic internal variability and sub-annual (fast) feedbacks, that while true for CMIP5 is not true for CMIP6. When accounted for, an emergent relationship appears once again in both CMIP ensembles, implying the theoretical basis is still applicable while the original assumption in CHW18 is not. Unfortunately, however, we are unable to provide an emergent constraint in CMIP6 as observational estimates of the internal variability parameter are too uncertain.
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