The Global Pressure and Temperature (GPT) series models can be used to calculate temperature,pressure,water vapor pressure and other meteorological parameters for any area in the world.At present,GPT2w is the most widely used global pressure and temperature model with high precision.In this paper,the accuracy of GPT2w model for China's mainland areas was analyzed by comparison with the measured data of temperature,pressure and water vapor pressure from 102 national meteorological stations during 2012 to 2016.The results showed that the mean error and mean standard deviation of GPT2w temperature were -0.45 ℃ and 10.04 ℃,respectively.The mean error and mean standard deviation of pressure were 2.05 hPa and 6.55 hPa.While for the water vapor pressure,the mean error was 0.11 hPa and the mean standard deviation was 6.15 hPa.In general,the GPT2w can calculate temperature,pressure,and water vapor pressure with high accuracy for most of China's mainland areas,though the accuracy varies between different areas,latitudes and seasons.