Insights from a refined decomposition of cloud feedbacks

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Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach (2017, background): “Fortunately, the SW and LW radiative effects of middle and high cloud amount changes largely counteract each other (Figures 7 and 12) [Zelinka et al., 2016], so the net Figure 11.”
Causes of Higher Climate Sensitivity in CMIP6 Models (2020, background): “…models becomes available, more detailed analysis of the cloud feedback will be possible (Cesana et al., 2019; Gordon & Klein, 2014; Terai et al., 2016; Tsushima et al., 2016; Zelinka et al., 2012a, 2012b, 2013, 2016), permitting better understanding of why the low cloud feedback has strengthened.”
Cloud feedback mechanisms and their representation in global climate models (2017, unknown): “Redrawn with permission from Zelinka et al.”
Low-Cloud Feedbacks from Cloud-Controlling Factors: A Review (2017, background): “Further assuming a high-cloud altitude feedback (Zelinka et al. 2016) of ? 0.”
Quantifying Progress Across Different CMIP Phases With the ESMValTool (2020, background): “This negative SW cloud feedback acts to balance other (mainly tropical and subtropical) positive cloud feedbacks, reducing the overall global net cloud feedback (Zelinka et al., 2016).”