Rapid changes in inland ice, including snow cover, glaciers, ice sheets, and permafrost are altering the cryosphere with consequences for the climate system, hydrology, nutrient transport, ecosystems, and societies. Reducing uncertainties in projections requires a closer integration of observations and models to improve our understanding of interactions between these processes across spatial and temporal scales.
This session invites contributions that advance the coupling of observational datasets (satellite, airborne, and in situ) with numerical models (ice dynamics, permafrost, hydrological, hydrochemical, and Earth System Models). We welcome abstracts that address:
- Improved representation of snow, ice, and permafrost processes in models through assimilation of Earth observation and field data.
- Case studies linking local observations to large-scale dynamical models, including contributions to CMIP, ISMIP, CORDEX, SnowMIP, and Copernicus.
- Quantification of the impacts of land ice and permafrost change on sea level, ocean circulation, hydrology and ecosystems.
- Process understanding of ice sheet or glacier dynamics, and assessment of changes on decadal to centennial timescales.
- Process understanding by integrated observations of Atmosphere-Cryosphere-Hydrosphere coupled systems at glaciated catchment scale.
- Development of tools and approaches that bridge gaps between modelling and monitoring communities, including applications of AI and machine learning.
We particularly encourage contributions from Horizon Europe projects such as ICELINK (North Atlantic land ice and climate interactions), LIQUIDICE (impacts of inland ice, snow, and permafrost change on water resources and society), and CryoSCOPE (novel observations and process modelling of globally significant cold spots), and other related initiatives.
By bringing together observational and modelling perspectives, this session aims to advance process understanding, improve predictive capability, and foster interdisciplinary collaboration across cryosphere disciplines.
Linking observations and models of inland ice, snow, and permafrost dynamics