HERE THE PROPOSAL SEEKS TO USE THE NOW-MATURE BAYESIAN AMHG MANNING (BAM) METHOD AND THE DEEP TEMPORAL ARCHIVE OF LANDSAT DATA TO ESTIMATE DISCHARGE IN EVERY RIVER ON EARTH WIDER THAN 120M FROM 1984-PRESENT: A TRUE GLOBAL MAPPING OF RIVER DISCHARGE. THIS AMBITIOUS UNDERTAKING IS POSSIBLE WITHIN THE DURATION OF THE AWARD THANKS TO RECENT ADVANCES IN CLOUD COMPUTING FOR LANDSAT PROCESSING VIA GOOGLE EARTH ENGINE AND NOVEL DATA PRODUCTS THAT MAP RIVER NETWORKS AND RIVER WIDTHS GLOBALLY- E.G. THE GLOBAL RIVER WIDTHS FROM LANDSAT DATABASE (GRWL). THESE ADVANCES MAKE IT POSSIBLE TO FOCUS WORK EFFORTS ON ACCURATE DISCHARGE ESTIMATION RATHER THAN IDENTIFYING AND MEASURING RIVERS FROM SPACE.