Modeling clouds and convection in weather and climate models remains challenging due to complex non-linear interactions between processes occurring at resolved and unresolved scales. These interactions strongly depend on both model resolution and the parameterization of subgrid processes. Major sources of uncertainty include the representation of boundary layer processes that shape convection and its early development, as well as its coupling with the environment, which is often affected by aerosol and precipitation feedbacks. In the case of deep convection, additional sources of uncertainty typically include the parameterization of microphysics, entrainment, downdrafts, and cold pools.
This session invites contributions related to the modeling and parameterization of clouds and convection, including the diurnal cycle and transitions between different cloud regimes. We highly encourage abstract submissions that cover research on both small-scale (resolved) and large-scale (parameterized) aspects of convection, as well as multiscale modeling.

