On Improvement of Snow Water Equivalence Estimation for Passive Microwave Instrument-AMSR/E
改进AMSR-E雪水当量算法研究

In this paper,we evaluate the capability of a multi-scattering microwave emission model that includes the Dense Media Radiative Transfer Model(DMRT) and Advanced Integral Equation Model(AIEM) to simulate dry snow emission with the Matrix Doubling approach.We compared the predictions of this model with ground experimental measurements.The comparison showed that our snow microwave emission model agreed well with the experimental measurements.In order to develop retrieval snow properties:snow depth or snow water equivalence(SWE) retrieval algorithm,we carried out the sensitivity test between the emission models with the different scattering-order:the zeroth-order,the first-order and the multi-scattering models.The results indicated that the multi-scattering effects have to be taken into account in the snow emission model,especially for large grain size.Due to the complexity of the multi-scattering model,we developed a parameterized inversion model using our multi-scattering emission model with a wide range of snow and under-ground properties for algorithm development purpose.