Hydroclimatic modelling brings together surface water hydrology and climate science for understanding the interactions between precipitation, evaporation, runoff, land use dynamics and anthropogenic activities under increasing climate variability. This session invites contributions on model development and applications addressing floods, droughts, and water balance dynamics across scales and water resources. We welcome studies coupling climate and hydrological models, data assimilation, satellite–model integration, machine learning, and model intercomparison. By combining methodological advances with applied case studies, the session highlights innovations that enhance flood forecasting, drought risk management, and climate-resilient water resource planning in vulnerable regions worldwide.