Snow accumulation and snowmelt are highly sensitive to climate variability and change, and climate-driven changes in snowpack have an array of consequences for ecosystem function, energy and water resources, flood risk management, and land-atmosphere feedbacks. While climate-driven changes in snowpack are increasingly apparent, uncertainties remain in understanding snowpack impacts arising from interactions among climate and land cover change (including disturbance), snow model structure and parameters, internal variability, future climate scenarios, cross-scale interactions, consequences for ecosystem health and water availability, and the translation of this information to partners. In this session, we solicit research across watershed to global scales, evaluating snowpack sensitivity to the impacts of past and future climate change and associated local and downstream consequences for natural and managed systems. We welcome analyses that leverage remote sensing data, multi-scale modeling approaches, data science and statistical tools, automatic and field observations, and other emerging approaches (e.g., community science, scientist-partner interactions).

• A - Atmospheric Sciences
• GC - Global Environmental Change
• H - Hydrology