The seasonal snow cover has manifold impacts and feedbacks affecting water availability, ecosystems, and weather. Accurately modeling current and future snow covers is challenged by the need for modeling techniques that represent the complex and interacting controlling processes at appropriate spatial scales. This session will bring together researchers working on developing and applying snow models that collectively advance our understanding of system functionality. We solicit contributions related to modeling of seasonal snow and the various physical processes underlying its spatio-temporal dynamics. We particularly welcome abstracts on snow cover processes and their interactions with the atmosphere, vegetation and soil; as well as on related model developments, coupled model systems, operational snow models, data assimilation, subgrid schemes in coarse scale applications, and model evaluation and validation. We also welcome contributions that use data-driven approaches as a way to improve the representation of uncertain processes in snowpack models.