In the era of open-science and multi-source datasets, process-based models are increasingly integrated with remote-sensing, geospatial platforms, in-situ observations, and stakeholder engagement to address environmental challenges across scales. However, the utility of modeling frameworks depends on their ability to realistically represent biophysical processes and real-world management conditions. This session will highlight recent advancements in watershed modeling, including model development and improvements, intercomparison studies, and emerging methodologies coupling watershed modeling with data-driven approaches. We welcome contributions that address critical water quantity and water quality challenges while advancing mitigation and adaptation strategies from field to global scales. Since 2016, this session has provided an international forum for interdisciplinary exchange among scientists working at the interface of hydrology, agroecology, water quality, and environmental management. We encourage transdisciplinary research that translates models and data into actionable solutions to enhance water quality and security.

• B - Biogeosciences
• EP - Earth and Planetary Surface Processes
• GC - Global Environmental Change
• NH - Natural Hazards