The launches of GPM in 2014 and GOES-R in 2016 represent a major leap forward in terms of satellite observing capabilities, especially for precipitation. These new platforms offer improved resolution and more detailed analysis of precipitation characteristics through the use of an dual-frequency active radar sensor (GPM), and expanded spectral bands and real-time CONUS lightning detection (GOES-R).
In order to maximize the benefits of all the available remote sensing platforms over the CONUS, the various data sources need to be resampled to a common grid and blended to produce a final, seamless product (e.g., instantaneous rainfall rate). This presentation will describe the approach to integrate satellite precipitation estimates into the MRMS suite of QPE products with initial evaluation of QPE accuracy with and without satellite inputs.