Severe storms often occur when the atmospheric moisture exhibits high temporal and/or spatial variations (e.g., a cold front or dryline; Atkins et al., 1998). Measurements of water vapor vertical distributions as well as temporal and spatial variations are very important for nowcasting and forecasting such high-impact weather events (Li et al., 2011(Li et al., , 2012. The measurements are also critically important for improving numerical weather prediction (NWP) models through data assimilation. Today's hyperspectral infrared sounders such as the Atmospheric Infrared Sounder (AIRS), Infrared Atmospheric Sounder Interferometer (IASI), Hyperspectral Infrared Atmospheric Sounder (HIRAS), and Cross-track Infrared Sounder (CrIS;Menzel et al., 2018), have been widely used for measuring the vertical distributions of atmospheric temperature and moisture, and measurements from those sounders are operationally assimilated into NWP models for improving regional and global weather forecasts. Recently, hyperspectral IR sounders are being developed for measuring atmospheric temperature and water vapor profiles with a high temporal resolution, which