This session seeks to present recent scientific advances in the detection and attribution of hydrological change across diverse hydro-climatic regions. It welcomes contributions that integrate observational data, statistical techniques, physical modeling, and emerging hybrid (e.g., machine learning-enhanced) approaches to disentangle climate signals from human activities. Case studies demonstrating methodological innovation or policy relevance are especially encouraged.

Key Objectives:
• Promote interdisciplinary exchange across hydrology, climate science, and environmental engineering
• Showcase cutting-edge approaches for attributing hydrological change across spatial and temporal scales
• Critically evaluate current attribution techniques, including model-based decomposition, scenario analysis, and sensitivity frameworks
• Support the development of actionable tools for sustainable water governance, risk mitigation, and climate resilience

Topics of Interest:
1. Quantitative attribution frameworks for streamflow and runoff changes
2. Disimpassion of climatic and anthropogenic influences in hydrological records
3. Impacts of land use/land cover dynamics and hydraulic infrastructure on watershed hydrology
4. Role of climate change in altering precipitation, evapotranspiration, and storage dynamics
5. Scenario-based simulations using hydrological and Earth system models
6. Data-scarce region modeling: constraints, solutions, and innovations
7. Translating attribution science into policy-relevant insights and integrated water management strategies

Expected Outcomes:
Deepened scientific understanding of the causal factors behind hydrological change
Cross-regional exchange of methods, models, and data-driven approaches
Enhanced collaboration between researchers and decision-makers
Identification of research gaps and methodological needs in hydrological attribution