We formulate and investigate a generalized model for warm clouds. Cloud models incorporated in operational weather prediction models are obtained by a specific choice of the parameters in the general model. We determine steady states and pursue a stability analysis. Furthermore, we carry out numerical simulations and detect bifurcations, i. e. a fixed point destabilizes and a periodic orbit occurs. Additionally, we apply an asymptotic expansion approach and identify leading order equations, time scales at which cloud microphysics takes place, and the dominant microphysical cloud processes for the respective cloud models. First results show that the models behave quantitatively different, thus clouds as represented in these models might have divergent properties.