Current climate models demonstrate large discrepancy in equilibrium climate sensitivity (ECS). The effects of cloudiness parameterization changes on the ECS of the INM-CM4-8 climate model were investigated. This model shows the lowest ECS among CMIP6 models. Reasonable changes in the parameterization of the degree of cloudiness yielded ECS variability of 1.8–4.1 K in INM-CM4-8, which was more than half of the interval for the CMIP6 models. The three principal mechanisms responsible for the increased ECS were increased cloudiness dissipation in warmer climates due to the increased water vapor deficit in the non-cloud fraction of a cell, decreased cloudiness generation in the atmospheric boundary layer in warm climates, and the instantaneous cloud response to CO₂ increases due to stratification changes.

中文翻译：

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气候模式INM-CM4-8中影响平衡气候敏感性的云量演化机制

当前的气候模型表明平衡气候敏感性 (ECS) 存在很大差异。研究了云量参数化变化对 INM-CM4-8 气候模式 ECS 的影响。该模型显示了 CMIP6 模型中最低的 ECS。云度参数化的合理变化在 INM-CM4-8 中产生了 1.8-4.1 K 的 ECS 可变性，这是 CMIP6 模型间隔的一半以上。导致 ECS 增加的三个主要机制是温暖气候下云量消散增加，这是由于细胞非云部分的水汽亏缺增加，温暖气候下大气边界层的云量减少，以及瞬时云响应由于分层变化，CO ₂增加。