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Abstract

The parameterization of turbulent and convective mixing in climate prediction models has been a major challenge in climate research for a long time. In particular, different parameterizations are used, and patched together often artificially, for different types of convection: dry or moist, in the boundary layer or in the full troposphere. The Eddy-Diffusivity (ED) approach has been successful in representing some characteristics of neutral boundary layers and surface layers in general. The Mass-Flux (MF) approach, on the other hand, has been used for the parameterization of shallow and deep moist convection. In this presentation, an approach that relies on an optimal combination of the ED and MF parameterizations (EDMF) is discussed in detail as a possible solution for the full unification of the parameterizations of convective mixing in atmospheric models. In particular, we will present results from a new multi-plume stochastic EDMF parameterization coupled to cloud microphysics that fully unifies the representation of convection in climate models: One single parameterization that represents the effects of dry, shallow and deep moist convection in the atmosphere.

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