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Worldwide evaluation of mean and extreme runoff from six global-scale hydrological models that account for human impacts, , , , , , , , , and 10 other author(s). Environmental Research Letters, 13 (6): 065015 (2018)Exploring the value of machine learning for weighted multi-model combination of an ensemble of global hydrological models., , , , , , , , , and 1 other author(s). Environ. Model. Softw., (2019)First look at changes in flood hazard in the Inter-Sectoral Impact Model Intercomparison Project ensemble, , , , , , , , , and 3 other author(s). Proceedings of the National Academy of Sciences, 111 (9): 3257--3261 (Mar 4, 2014)State-of-the-art global models underestimate impacts from climate extremes, , , , , , , , , and 40 other author(s). Nature Communications, 10 (1): 1005-- (2019)Assessing the impacts of 1.5 degrees C global warming - simulation protocol of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP2b), , , , , , , , , and 44 other author(s). Geoscientific Model Development, 10 (12): 4321-4345 (2017)