Abstract

Shallow mixed-phase cold-air outbreak (CAO) clouds play a crucial role in the estimation of cloud-phase feedback, but uncertainties remain due to poor representation of cloud microphysics in current climate and atmospheric models. Recent studies highlight the importance of aerosol-cloud interactions and ice-formation processes to the radiative properties of mixed-phase CAO clouds, but many of them mainly focused on a single case study and relied on the once-at-a-time (OAT) test method to understand the influences of these processes. In this talk, I will present our recent results on the comparison of CAO cloud sensitivities to these processes between two CAO events over the Labrador Sea, one cold and strong in March and one warm and weak in October. I will also discuss results from perturbed parameter ensembles (PPEs) and Gaussian Process (GP) emulators for the latter warmer October case which enable the exploration of interactions between these processes.