This dataset is the output from the Global Flood Model intercomparison project undertaken on behalf of the Global Flood Partnership. The methodology is described in Trigg et. al. 2016, "The credibility challenge for global fluvial flood risk analysis", published in the Environmental Research Letters Journal. Please cite this paper for all uses of the data. The data is composed of aggregated data for 5 return periods (1 in 25, 100, 250 and 1000 year) from 6 global flood hazard models: CaMa-UT, GLOFRIS, ECMWF, JRC, SSBN, and CIMA-UNEP. All the models simulate, for a given probability flow, how water that is excess to river channel capacity inundates the surrounding floodplain topography. There are 5 files, one for each return period. Each file is a geospatial, WGS84, 1/1200 decimal degrees resolution (~90m) GeoTIFF raster with a classified integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data).