Atmospheric water vapor is an essential climate variable (ECV) with extensive spatial and temporal variations. Mi- crowave humidity observations from meteorological satellites provide important information for climate system vari- ables, including atmospheric water vapor and precipitable water, and assimilation in numerical weather prediction (NWP) and reanalysis. As one of the payloads onboard China's second-generation polar-orbiting operational meteor- ological Fengyun-3 (FY-3) satellites, the Microwave Humidity Sounder (MWHS) has been continuously observing the global humidity since 2008. The reprocessing of historical FY-3 MWHS data is documented in detail in this study. After calibrating and correcting the data, the quality of the reprocessed dataset is evaluated and the improve- ment is shown in this study. The results suggest that MWHS observations bias is reduced to approximately 0.8 K, compared with METOP-A Microwave Humidity Sounder (MHS). The temporal variability of MWHS is highly cor- related with the instrument temperature. After reprocessing, the scene temperature dependency is mitigated for all 183 GHz channels, and the consistency and stability between FY-3A/B/C are also improved.