There are five major S-NPP ATMS science data quality variation events. The first one represents the very first Processing Coefficients Table (PCT) update after launch based on the post launch on-orbit data analysis. The second major event is the implementation of S-NPP antenna pattern correction coefficients on November 14, 2013. The third major event is the fundamental change of the ATMS calibration algorithm. Since March 7, 2017, the Rayleigh-Jean approximation-based temperature calibration algorithm has been updated to a full radiance calibration algorithm for S-NPP ATMS. To match the radiance calibration algorithm, the nonlinearity correction coefficients were also derived from pre-launch thermal vacuum test datasets and implemented with the radiance calibration algorithm update. From the ATMS post-launch pitch maneuver data, the channel dependent reflector emissivity was estimated. During the fourth calibration update event, the PCT table update including the channel dependent reflector emissivity and reflector emissivity correction algorithm update was transitioned to operations on October 15, 2019. Meanwhile, an updated antenna pattern correction coefficient implementation makes the systematic bias between sensor data record (SDR) and simulations further reduced. The last update (fifth major event) is the lunar intrusion correction algorithm and associated coefficients implementation on February 4, 2021.
In this presentation, we studied total precipitable water (TPW) trend using S-NPP ATMS brightness temperatures and the MiRS water vapor profile environmental data record. The direct interpolation of the brightness temperature signals seems opposite to the MiRS TPW results. We are going to explain the mystery at the 10th American Meteorological Society annual meeting. We will also show whether ATMS data at 1:30 am and 1:30 pm local time alone are suitable to study the TPW trend.

