Integrated surface-groundwater modeling provides a critical framework for evaluating water sustainability under the combined pressures of climate change and dynamic land use. By explicitly representing interactions between surface hydrology, subsurface flow, and human interventions, these approaches improve understanding of feedbacks among precipitation variability, evapotranspiration, recharge, runoff, and water use. This session invites contributions employing modeling frameworks across local to global scales that assess changes in water availability and provide water management solutions under non-stationary conditions. We particularly encourage studies that combine process-based numerical models with remote sensing, data assimilation, and AI-driven approaches to enhance predictive capability, as well as those evaluating the impacts of land use change, urbanization, and agricultural intensification.

• GC - Global Environmental Change