An advanced radiative transfer modeling system (ARMS) has been developed for satellite data assimilation and remote sensing applications. It inherits the capability of other fast radiative transfer models developed mainly for US and European satellite programs but focuses on the radiative transfer components that are specific for the assimilation of the Fengyun satellites and those sensors not included in existing models. The ARMS forward operator includes a fast transmittance module, a new particle absorption and scattering look-up table, surface emissivity and polarimetric radiative transfer solver. The particle optical properties of aerosols and ice clouds are calculated based on a super-spheroidal T-matrix model. The polarimetric two-stream approximation is adopted as the preferred solver to simulate the Stokes vector and their Jacobians. The simulations of ARMS are compared with those of other models and observations of Fengyun satellites, respectively. The comparison shows close agreement between ARMS and other existing fast radiative transfer models. Therefore, ARMS has robust simulation capabilities for existing satellite sensors.

已经为卫星数据同化和遥感应用开发了先进的辐射传输建模系统（ARMS）。它继承了主要为美国和欧洲卫星计划开发的其他快速辐射传输模型的功能，但是重点关注了风云卫星和现有模型中未包含的那些传感器特有的辐射传输分量。ARMS前向算子包括一个快速透射模块，一个新的粒子吸收和散射查找表，表面发射率和极化辐射传递求解器。气溶胶和冰云的粒子光学特性是根据超球形T矩阵模型计算得出的。采用极化两流近似作为首选求解器，以模拟斯托克斯矢量及其雅可比矩阵。将ARMS的模拟分别与其他模型和风云卫星的观测结果进行了比较。比较表明，ARMS与其他现有的快速辐射传输模型之间有着密切的一致性。因此，ARMS对现有的卫星传感器具有强大的仿真功能。