Clouds substantially impact the Earth system's radiative balance (Brunke et al., 2010). Their radiative impact on the Earth's energy balance is one of the largest uncertainties in the Earth system (Boucher et al., 2013). There has long been a large spread in simulated cloud feedbacks (Bony & Dufresne, 2005), resulting from a high uncertainty in the simulation of clouds in Earth system models (ESMs) (Bony et al., 2006). This uncertainty stems from a wide spread in the simulation of cloud characteristics like liquid and ice water paths (Kormurcu et al., 2014).Cloud simulation uncertainty also stems from the representation of droplet activation and ice nucleation (Choi et al., 2010(Choi et al., , 2014. Cloud droplets form around aerosols that have been activated called cloud condensation nuclei (CCN). This connection between aerosols and cloud formation is one critical aspect of aerosol-cloud interactions (ACI). There is the long recognized indirect effect of a decrease in cloud droplet radius owing to increased cloud droplet number concentration (at fixed liquid water content) with an increase in aerosol concentration. The increased cloud droplet number results in higher cloud albedo (Twomey, 1977) and decreased precipitation efficiency, which is speculated to increase cloud lifetime (Albrecht, 1989) as long as the air above-cloud is humid enough (Ackerman et al., 2004).Turbulent eddies strongly influence ACI and are critical to the maintenance of boundary layer clouds (Seinfeld et al., 2016). The strength of these eddies below clouds is characterized by turbulence kinetic energy (TKE), which determines updraft velocity at cloud base (Zhang et al., 2021). Updraft velocity controls the amount of