For the accurate prediction of snowmelt runoff snow water equivalent is one of the most important parameter. Passive microwave (PM) imagery represents a useful source of data for retrieving snow-cover properties since it is relatively un-attenuated by the atmosphere. Snow cover characteristics have significant effects on natural upwelling radiation and consequently on the microwave signals measured at the sensor. This is particularly prominent for liquid-free snow packs. However, for snow-covers that consist of liquid water or heterogeneous snow stratigraphies, the upwelling signal is more complex. An approach to model the passive microwave response from snow packs with different physical conditions is presented in this paper. The physical temperature of the surface and an emissivity model of the snow pack are combined to predict brightness temperatures observed by the Special Sensor Microwave Imager (SSM/I). The liquid water content and snow depth values are varied and the resultant brightness temperature values are compared with those observed at the (SSM/I). The results are validated with in situ snow depth values.