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Abstract: It is a common refrain that aerosol-cloud interactions are the largest source of uncertainty in the global energy budget and in projections of future climate. In the last two decades, the field has relied more and more on a synthesis of multiple lines of evidence to reduce aerosol-cloud-related uncertainties (good!) but has then often discounted the evidence from atmospheric general circulation models (GCMs) based on lack of trust in their ability to get the cloud physics right (good?). This seems like a waste of a line of evidence, particularly when we consider that the other lines of evidence (observations and process-scale models) have their own weaknesses. In this presentation, we illustrate a better outcome for syntheses of multiple lines of evidence. Rather than discard what the GCMs have to say, we present a series of aerosol-cloud studies in which the E3SM GCM functions as an equal to the other lines of evidence and all lines of evidence are used to crosscheck each other
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