The variations of meteorological elements on the lowlatitude plateau are influenced by not only variation in atmospheric circulation but also the effects of topographic factors as elevation， slope， aspect， etc. Taking Yunnan as an example， a relation model is built by means of the precipitation data， temperature and dewpoint temperature data at 125 stations in Yunnan and topographic factor data of 125 stations， such as longitude， latitude， elevation， slope and aspect. The regression coefficients calculated by the multiple regression analysis are used in the regression model of random stations for testing. The fitting and observational results indicate that the regression model considering topographic factors is better in estimating meteorological elements. The fitting and observational data have high coherence， and the errors are in the tolerance range. The smaller the area calculated in the model and the more similar the topographic factors of the stations in the regression analysis， the better the simulated results of testing stations. The model allows to estimate the meteorological elements in the areas without observation. The results will contribute to the refined meteorological element forecasting for the lowlatitude plateau areas.