An Intercomparison of Large‐Eddy Simulations of a Convection Cloud Chamber Using Haze‐Capable Bin and Lagrangian Cloud Microphysics Schemes.

Recent in situ observations show that haze particles exist in a convection cloud chamber. The microphysics schemes previously used for large‐eddy simulations of the cloud chamber could not fully resolve haze particles and the associated processes, including their activation and deactivation. Specifically, cloud droplet activation was modeled based on Twomey‐type parameterizations, wherein cloud droplets were formed when a critical supersaturation for the available cloud condensation nuclei (CCN) was exceeded and haze particles were not explicitly resolved. Here, we develop and adapt haze‐capable bin and Lagrangian microphysics schemes to properly resolve the activation and deactivation processes. Results are compared with the Twomey‐type CCN‐based bin microphysics scheme in which haze particles are not fully resolved. We find that results from the haze‐capable bin microphysics scheme agree well with those from the Lagrangian microphysics scheme. However, both schemes significantly differ from those from a CCN‐based bin microphysics scheme unless CCN recycling is considered. Haze particles from the recycling of deactivated cloud droplets can strongly enhance cloud droplet number concentration due to a positive feedback in haze‐cloud interactions in the cloud chamber. Haze particle size distributions are more realistic when considering solute and curvature effects that enable representing the complete physics of the activation process. Our study suggests that haze particles and their interactions with cloud droplets may have a strong impact on cloud properties when supersaturation fluctuations are comparable to mean supersaturation, as is the case in the cloud chamber and likely is the case in the atmosphere, especially in polluted conditions. Plain Language Summary: In atmospheric models, cloud droplet formation is usually simulated to occur when a submicron dry aerosol particle encounters supersaturated conditions. In reality, dry aerosol particles composed of water‐soluble compounds form aqueous haze particles first before they activate to cloud droplets. However, haze particles and the associated interactions with cloud droplets are usually not fully resolved in atmospheric models. In this study, we develop two types of microphysics schemes to explore haze‐cloud interactions in a convection cloud chamber. Our results show that recycling of deactivated cloud droplets through either dry aerosol or haze particles can significantly enhance the cloud droplet number concentration in the cloud chamber. Our study indicates that it is important to properly resolve haze particles and haze‐cloud interactions for cloud chamber simulations, which is likely also true for atmospheric cloud simulations, especially under polluted conditions. Key Points: Bin and Lagrangian microphysics schemes with various levels of complexity are used to handle aerosol‐cloud interactions in a cloud chamberSimulations using haze‐capable bin and Lagrangian schemes capture the observed haze mode in the chamberActivation and deactivation rates are overestimated when using a CCN‐based bin scheme compared with haze‐capable schemes [ABSTRACT FROM AUTHOR]