气候敏感性波动约束中的有限响应互补性
Finite-Response Complementarity in Fluctuation Constraints on Climate Sensitivity
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中文总结 AI 辅助
该研究针对CMIP5与CMIP6的气候敏感性波动约束差异，采用双模态随机响应模型分析，发现CMIP6存在强互补性，通过残差方向校正得到HadCRUT5条件ECS估计值为3.00 K，证实部分敏感性信息可通过有限响应投影恢复。
中文摘要 AI 辅助
平衡气候敏感性（ECS）是零频率敏感性，而历史全球平均温度变异性则采样气候系统的有限强迫投影。我们检验标量波动-记忆坐标遗漏的信息是否会在有限CO₂响应中重现。在以Ψ为条件对ECS和有限响应进行处理后，CMIP5残差几乎无耦合（C₅=0.154），而CMIP6表现出强互补性（C₆=0.593，p=0.00288）。双模态随机响应模型将这种对比归因于隐藏响应的离散度，该离散度在有限响应中可见但难以投影到Ψ上。CMIP6残差方向定义了一阶校正，得出以3.00 K为中心的HadCRUT5条件ECS估计值。因此，CMIP6减弱的波动约束并不意味着敏感性信息丢失：部分信息可通过互补的有限响应投影恢复。
英文摘要
Equilibrium climate sensitivity (ECS) is a zero-frequency susceptibility, whereas historical globalmean temperature variability samples a finite, forced projection of the climate system. We test whether information missed by a scalar fluctuation-memory coordinate reappears in a finite CO2 response. After conditioning both ECS and the finite response on Ψ, CMIP5 residuals are nearly uncoupled (C5 = 0.154), whereas CMIP6 shows strong complementarity (C6 = 0.593, p = 0.00288). A two-mode stochastic response model attributes this contrast to hidden-response spread that is visible in the finite response but poorly projected onto Ψ. The CMIP6 residual direction defines a first-order correction and yields a HadCRUT5 conditional ECS estimate centered at 3.00 K. Thus the weakened CMIP6 fluctuation constraint does not imply that susceptibility information is lost: part of it is recovered through a complementary finite-response projection.
