Snow is a key element in the meteorological and hydrological studies.The amount of regional snow plays an important role in the climate change and also affects the management of water resources

and estimate the runoff and flood forecasting.Thus

it is necessary to do sensitivity analysis of dry snow emission model

and compare this model with experimental data.In this study

firstly

we carried out the numerical simulations to evaluate the subsurface effects

including surface roughness and dielectric properties

on the brightness temperature differences of snow covered terrain at AMSR-E frequencies.We found that the ground dielectric constant and the surface roughness parameters such as RMS height and correlation length have a significant effect on the brightness temperature differences at AMSR-E frequencies.Then we evaluate the capability of a multi-scattering microwave emission model that includes the Dense Media Radiative Transfer Model（DMRT） and AIEM in simulation of dry snow emission with Matrix Doubling approach.We compared the predictions of this model with the ground experimental measurements on Dec.21

1995 at Weissfluhjoch（46°49

83′N

（9°48）

62′E） in Davos

Switzerland.The comparison showed that our snow microwave emission model agreed well with the experimental measurements.