The purpose of this presentation is to highlight the use of new satellite datasets, which can assist in isolating locations favorable for excessive precipitation development, during both the warm and cold seasons. Several case studies will be shown using the experimental CIRA SPoRT Layered Precipitable Water (LPW) product, which has the ability to track individual layers of moisture into an area of developing heavy precipitation. LPW data will also be compared with Total-column Blended Precipitable Water (TPW) data, in order to highlight the benefits of using both datasets in tandem. Additionally, data from the experimental CIMSS NearCast model (theta-e and precipitable water difference fields) will be investigated, in order to show how the combination of real-time analyses from GOES sounder channels, along with numerical weather projections, can be assessed to pinpoint/track areas where deep moisture and convective instability (key flash flood ingredients) may co-exist. It is hoped that continued evaluation and documentation of key benefits will increase visibility and foster operational implementation of these products. Operational meteorologists will also benefit from exposure to these products, especially when even higher resolution datasets become available with the launch of the GOES-R platforms.