Abstract: Accurate acquisition of station pressure and temperature plays a vital role in the accuracy of GPS water vapor inversion, However, due to the differences in the development status of GPS continuous operation observation stations in various parts of China, A considerable part of the GPS weather station network is not equipped with pressure and temperature sensors, and failed to effectively collect accurate station pressure and temperature related data, Which has great influence on real-time acquisition of water vapor above the station, This paper proposes an inverse distance weighting method that increases altitude correction, and validates the method using GNSS weather station network data distributed throughout the country. Experimental results show that the accuracy of the pressure and temperature parameters obtained by this method meets the needs of water vapor solution. At the same time, the method mentioned in this article is compared with the GPT2 temperature and pressure model, which proves that the accuracy of the temperature and pressure parameters obtained in this paper is better than that of the GPT2 weather model.