Simulations of a Thermal Model for Atmospheric Deep Convection

Currently, one of the largest uncertainties in climate sensitivity is due to differences in how clouds are modeled. Because of computing limitations, cloud feedbacks are parameterized in global climate models, with the parameterization of entrainment being one of the major dependences. Global climate models commonly use plume models for convective parameterization, even though research has suggested a thermal model may be more accurate. For this work, we study entrainment using direct numerical simulations of thermals including the effects of moisture. Our simulations have a realistic dry-stable atmosphere rather than a dry-neutral one as was used in previous studies. We then compare the entrainment in moist thermals to that in dry thermals.