Precipitable water vapor is one of the key factors influencing weather and climate change; change in water vapor is closely related to temperature and atmospheric pressure. In this paper, we conduct a correlation analysis of GPS water vapor and meteorological factors by using GAMIT software solver the value of PWV for Beijing combined with meteorological data. Firstly,we used GAMIT software solver on the value of PWV for Beijing continuous observation network data from June 1,2009 to April 30,2012, in conjunction with atmospheric pressure data, to acquire station PWV sequence. Then we used wavelet transform method to break down and reconstruct the data for GPS PWV, temperature and atmospheric pressure and analyzed the correlation of new data. There is a positive correlation between the trend of GPS PWV sequence and temperature, and a significantly negatively correlation with atmospheric pressure. The PWV and atmospheric pressure have half-cycle and annual change; both appear in an obvious negative correlation. Temperature cycling for years, the best correlation of water vapor and temperature is in d13 reconstruction. There are significant positive correlation properties.