The frequency and intensity of extreme events including floods are increasing due to climate change. To enhance flood risk management and support climate change adaptation strategies, there is a critical need for a comprehensive global framework capable of simulating flood events across diverse geographical regions. While existing global hydrological models, such as Xanthos, have been designed to simulate water availability, they often operate at monthly timescales, limiting their ability to capture the dynamics of flood events. Additionally, there is a gap in flood simulation at the global scale in representing the dominant saturation excess runoff or infiltration excess runoff generation mechanisms that vary by geographical regions, initial soil moisture conditions, and other local characteristics. We address these limitations by enhancing Xanthos with a new runoff generation scheme that incorporates both saturation and infiltration excess at a daily timescale in a single framework. We calibrate and validate the enhanced Xanthos using daily streamflow observations from 35 basins worldwide. By improving the simulation of flood events across diverse geographical contexts, this new Xanthos runoff scheme advanced our ability to analyze the impacts of climate change and human activities on flood occurrence and intensity.