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This paper uses a high-resolution land data assimilation system (u-HRLDAS) to parameterize the urban land surface characteristics. The u-HRLDAS model is localized and developed in order to satisfy the need of the weather forecast in Beijing China. The remote sensing data using to localize and drive u- HRLDAS includes the soil type data, MODIS retrieved LAI data. The result of the urban weather forecast based on the the rapid update cycle system at Beijing Meteorological Bureau (BJ-RUC) without coupled with u-HRLDAS is used for the comparison. The land surface temperature, land surface fluxes and first layer soil moisture in several single sites and BJ-RUC D03 region are compared by using BJ-RUC with u- HRLDAS after localization. The results indicate that u-HRLDAS can improve the simulation of land surface temperature and land surface fluxes definitely.