Alternative solution to the problem of saturation adjustment in the presence of ice and water

Summary In cloud microphysics parameterization schemes, explicitly involving the co-existence of cloud water and ice in a temperature interval, it is necessary to solve the question of saturation adjustment in the presence of the mixed phase. In the present paper we propose an iteration procedure, which reliably converges with a small number of iterations, to solve this problem. The procedure is applied to a 3-D prognostic mesoscale model being developed for studying the effect of the ice phase on precipitation forecasts.