The retrieval accuracies of three typical Near-Infrared (NIR) precipitable water vapor (PWV) products are thoroughly discussed in this research. The NIR PWV data are obtained from three satellite sensors: the MODIS/Terra, the MERIS/Envisat, and the MERSI/FY-3A. Collocated GPS PWV data from GPS network are employed as the reference dataset because of its high precision in water vapor measurement. Relative difference and RMS difference are computed for 'Clear', 'Cloudy' and 'All Weather' categories for each NIR water vapor product. The results reveal that PWV derived from NIR sensors tend to underestimate the water vapor values with the existence of cloud, as NIR signals cannot penetrate the cloud. Under 'Clear' condition, the overall RMS for remote sensors are close to the expected goal accuracies, namely, with RMSE of 5.480 mm for MODIS/Terra, 3.708 mm for MERIS/Envisat, 8.644 mm for MERSI/FY-3A. MERIS/Envisat has the highest PWV retrieval accuracy, while MODIS/Terra PWV product has the best correlation with GPS PWV (R 2 is 0.951). The MODIS/Terra tends to overestimate PWV value while MERSI/FY-3A tends to underestimate PWV value. Moreover, a comprehensive comparison of seasonal variation and wet/dry variation for each NIR PWV product is also performed in this study. The results indicate that the RMSE increases significantly under wet condition (PWV larger than 20 mm) than dry condition (PWV smaller than 20 mm) for all remote sensing PWV products.