Abstract: The Net Surface Solar Radiation (NSSR) plays a very important role in some research areas such as the radiation balance of earth’s surface, the energy exchange of earth-atmosphere system, weather forecast, climate changes and solar energy utilization et al. Satellite Remote sensing technology can be used to quickly derive the distribution of NSSR over large areas, especially, over those areas where have no meteorological observation, for instance, polar and ocean areas. In this paper, Based on the CERES/SSF satellite data, two parameterized models named Li model and Masuda model are used to calculate the NSSR over Shangdianzi area in Beijing during January, April, July and October in 2005, and a series of analysis are performed to compare between the NSSR data derived from parameterized models and that measured at ground station. At the same time, two fitted models based on Li model and Masuda model are proposed in order to do better in deriving NSSR over Beijing area. The results show that the Mean Bias Error (MBE) of Li model and Masuda model are and under clear skies , as well as and under cloudy skies. Generally, The result of Li model is higher than that of Masuda model, and the Mean Absolute Deviation (MAD) between two results are and under clear and cloudy skies, respectively. The systematic errors of two models can be decreased evidently after be linear fitted, and the MBE of mean monthly NSSR data between measured at ground station and derived from model is for fitted Li model and for fitted Masuda model.