The region of China was divided into four climate zones. The method of double weighted standard deviation and correlation coefficient threshold was adopted to take the sounding data of 120 stations in China as reference, the COSMIC, Metop-A, and Metop-B occultation inversion temperatures in 2014 were used as samples for quality control. It is also compared with the traditional standard deviation method, and the quality control results are tested. The results show that the three occultations are similar, and the temperature in different climatic regions has different characteristics, so that different threshold intervals are divided to make the quality control more accurate. The error data identified by the traditional standard deviation method can be identified by the double weight standard deviation method, and the double weight method can also detect error points that the traditional standard deviation method cannot detect, and the double weight standard deviation method is more suitable. Through statistical calculation, the correlation coefficient threshold of GNSS occultation inversion temperature and sounding temperature is determined to be 0. 860 9, so as to determine whether the suspicious data is erroneous data. From the quality control results, the distribution of erroneous data is mostly the difference between the occultation temperature and the sounding temperature. After eliminating the erroneous data from the quality control, the correlation between the occultation inversion temperature and the sounding temperature is obvious improvement, data quality can be better improved, this method is applicable to the quality control of GNSS occultation inversion temperature, and provides more accurate observation data for weather analysis and numerical prediction.