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) Geotiff files Classified raster data with integer value representing how many out of the 6 models agree that a cell is wet (note 0 - dry/no data) WGS84, Geospatial raster data 1/1200 decimal degrees resolution (~90m) - Single byte LZW compressed GeoTIFF raster format This file format can be read by any Geographical Information System Software (GIS) M6_25y.tif Aggregated flood hazard model output for a 1 in 25 year return period. M6_100y.tif Aggregated flood hazard model output for a 1 in 100 year return period. M6_250y.tif Aggregated flood hazard model output for a 1 in 250 year return period. M6_500y.tif Aggregated flood hazard model output for a 1 in 500 year return period. M6_1000y.tif Aggregated flood hazard model output for a 1 in 1000 year return period.