中文摘要：

基于风云-3B（FY-3B）卫星的微波成像仪（MWRI）数据对HUT模型（Helsinki university of technology snow emission model）进行验证,结果表明,无论是18.7GHz还是36.5GHz水平极化亮温,HUT模型模拟亮温都与MWRI亮温存在较大的偏差。因此,本文对消光系数进行了本地化改进,得到了改进的HUT模型（IMPHUT模型）。IMPHUT模型在18.7GHz水平极化和36.5GHz水平极化时的模拟亮温偏差分别为-0.91K和-4.19K,较原始的HUT模型模拟精度（偏差分别为14.03K和-16.33K）有很大提高。最后,利用遗传算法进行雪深反演,基于IMPHUT模型的雪深反演（偏差为-6.79cm）优于HUT模型和Chang算法,反演与实测雪深具有较好的一致性。

英文摘要：

HUT model（Helsinki university of technology snow emission model）is a semi-empirical radiative transfer model of passive microwave remote sensing of snow,and it considered the impact of soil,forests and atmosphere on brightness temperature receiving by the sensor.HUT model was able to simulate brightness temperature receiving by the sensor.This paper validated HUT model based on MWRI data mounted on FY-3Bsatellite.The results showed that there was a big difference between brightness temperature of HUT model simulation and brightness temperature of MWRI for 18.7GHz horizontal polarization and 36.5GHz horizontal polarization.So this paper improved the extinction coefficient formula.The model that used the improved extinction coefficient formula calculating extinction coefficient was called improved HUT model（IMPHUT model）.The validation result of IMPHUT model indicated that：the bias of IMPHUT model for 18.7GHz horizontal polarization and 36.5GHz horizontal polarization were-0.91Kand-4.19 Krespectively.However the bias of HUT model for 18.7GHz horizontal polarization and 36.5GHz horizontal polarization were 14.03Kand-16.33 Krespectively.Simulation accuracy of IMPHUT model was greatly improved.Finally,genetic algorithm was used to inverse snow depth on January 20,2013.The result showed that bias of inversion snow depth based on IMPHUT model was-6.79 cm.The inversion snow depth based on IMPHUT model which was superior to HUT model and Chang algorithm was in good agreement with the measured snow depth.