GPM DATA IS A KEY INPUT FOR A BROAD RANGE OF APPLICATIONS ACROSS MANY DIFFERENT END USER GROUPS (FIGURE 1). THESE USERS RANGE FROM EXPERTS WHO ROUTINELY USE GPM PRODUCTS IN DECISION-MAKING TO MEMBERS OF THE PUBLIC WHO HAVE NEVER ACCESSED SATELLITE PRODUCTS. THROUGH ENGAGEMENT WITH SEVERAL DIFFERENT USER COMMUNITIES THE PROPOSAL TEAM HAS IDENTIFIED A COMMON THREAD IN TERMS OF USER NEEDS: THE ABILITY TO CLEARLY UNDERSTAND UNCERTAINTIES AND POTENTIAL ERRORS IN SATELLITE PRECIPITATION OBSERVATIONS IN WAYS THAT CAN BE INTEGRATED INTO DECISION-MAKING AND QUANTIFIED IN TERMS OF DOWNSTREAM IMPACTS ON MODELS FORECASTS AND ANALYSES. MERGED MULTI-SATELLITE PRODUCTS SUCH AS NASA S 30-MINUTE 0.1 INTEGRATED MULTI-SATELLITE RETRIEVALS FOR GPM (IMERG) PROVIDE A HIGH-RESOLUTION GLOBAL PICTURE OF PRECIPITATION BUT THEIR ERROR STRUCTURES ARE GENERALLY UNKNOWN LIMITING THEIR USEFULNESS IN MANY APPLICATIONS. MEANWHILE NUMEROUS RECENT ADVANCES IN SATELLITE PRECIPITATION RETRIEVALS AIM NOT ONLY TO IMPROVE ACCURACY BUT ALSO TO PROVIDE ESTIMATES OF RESIDUAL ERRORS. THIS SUGGESTS THAT NOT ONLY WILL THE FUTURE OF SATELLITE PRECIPITATION ESTIMATION BE PROBABILISTIC BUT ALSO THAT DOWNSTREAM APPLICATIONS NEED TO BE READY TO INCORPORATE SUCH PROBABILISTIC ERROR/UNCERTAINTY INFORMATION.