Abstract: The observed ionospheric occultation data, due to their long-term stability and the fact that no calibration is required, play an important role in the ionospheric climatology research. The effectiveness of the data processing method is the guarantee of the reliability of the processed data and the applicability of the data parameters. The data processing method proposed in this paper can dynamically adjust the quality control threshold according to the physical characteristics of the selected ionospheric parameters and the conditions of the solar activities. It not only improves the pertinence of the ionospheric anomaly profiles in different periods but also guarantees the reliability of the data. We analyze different time windows and geospatial steps according to the data time span and the spatial scope, and map the discrete parameter data into the global data grids, with the advantage of high flexibility and easy to modularize. The effectiveness of this method is verified by the FY-3C GNOS ionospheric occultation data, as an efficient data processing method for the long-term ionospheric climatology research based on the ionospheric occultation data.