Impact of decadal cloud variations on the Earth/'s energy budget

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The Dependence of Global Cloud and Lapse Rate Feedbacks on the Spatial Structure of Tropical Pacific Warming (2018, background): “…2008; Andrews et al. 2012a; Geoffroy et al. 2013; Armour et al. 2013; Rose et al. 2014; Kang andXie 2014; Andrews et al. 2015; Rugenstein et al. 2016) and GCMs forced by observed variations in sea surface temperatures (SSTs) and sea ice (Andrews 2014; Gregory and Andrews 2016; Zhou et al. 2016).”
Cloud feedback mechanisms and their representation in global climate models (2017, unknown): “As future patterns of SST increase are uncertain in GCMs, and may differ from those observed in the historical record, this introduces an additional uncertainty in the magnitude of globalmean cloud feedback and our ability to constrain it using observations.(180,181) Therefore, further work is neces”
Analyzing the dependence of global cloud feedback on the spatial pattern of sea surface temperature change with a Green's function approach (2017, background): “historical record arise from the fact that CO2-induced long-term surface warming patterns differ from observed trends [Gregory and Andrews, 2016; Zhou et al., 2016], the latter being affected by decadal climate”
Low-Cloud Feedbacks from Cloud-Controlling Factors: A Review (2017, background): “Such a large value might happen for decadal variability (Zhou et al. 2016), but is extremely unlikely to happen for century time-scale warming.”