Rapid changes across the global cryosphere, including snow cover, glaciers, ice sheets, and permafrost, are reshaping the Earth system. These changes affect climate, sea level, hydrology, freshwater resources, ecosystems, and communities from mountain regions to polar coasts. Reducing uncertainties in future projections and supporting adaptation requires stronger integration of observations across scales with advanced modelling approaches.
This session invites contributions that improve understanding of snow, inland ice, and permafrost dynamics by bridging observations (satellite, airborne, and in situ) with numerical models, including ice-flow, hydrological, regional and global climate models, and AI-based emulators. We particularly encourage studies exploring interactions within the Cryosphere-Atmosphere-Hydrosphere system and translating scientific advances into actionable knowledge for climate resilience.
We welcome abstracts addressing:
- Data-Model Integration: Improved representation of snow, ice, and permafrost processes through assimilation of Earth observation, remote sensing, and field data into models.
- Coupled System Dynamics: Physical and geochemical Cryosphere-Atmosphere-Hydrosphere interactions and feedbacks across glaciated and snow-fed catchments, critical cold spots, and polar regions.
- Earth System Impacts: Effects of changing snow regimes, land ice loss, and permafrost degradation on water resources, ecosystems, ocean circulation, and sea-level rise.
- Methodological Innovation: Novel modelling tools, machine learning frameworks, and AI approaches that connect cryosphere observations and prediction.
- Upscaling and Global Initiatives: Studies linking local observations with regional and global models, including contributions to CMIP, ISMIP, CORDEX, Copernicus, and other international climate assessments.
Contributions associated with Horizon Europe projects such as LIQUIDICE, CryoSCOPE, ICELINK, and SnowPI, as well as other relevant international initiatives, are strongly encouraged.
By bringing together observational, modelling, and impact-focused perspectives, this session aims to strengthen interdisciplinary collaboration, improve predictive capabilities, and provide robust evidence for climate adaptation across the cryospheric sciences.