Please note that this session was withdrawn and is no longer available in the respective programme. This withdrawal might have been the result of a merge with another session.


Snow on sea ice: processes, models, impacts on ice mass balance, and remote sensing signatures

Snow on sea ice has a major impact on the underlying ice cover as it governs many interactions between the sea ice, atmosphere, and ocean. Improved knowledge of key snow-related processes governing the spatio-temporal evolution of snow structure, properties, and depth is crucial to quantifying, modeling, and understanding sea-ice mass budgets, their seasonal to interannual variability, and how they may change in a warming climate. Models, at a range of scales must capture these processes and impacts on sea ice. Snow also impacts remote sensing of sea ice and snow depth and density are key parameters for retrieval of ice thickness from satellite altimetry. Improved parameterizations of snow properties will also affect regional and global weather and climate models (and ESMs). We particularly invite submissions using MOSAiC data to advance study of any sea-ice snowpack topic, including 1) snow processes that alter the sea-ice mass budget, 2) validation of models which capture these processes, 3) snow effects on the remote sensing of sea ice 4) snow isotopic composition and snow impurities 5) snow albedo 6) snow precipitation and snow water equivalent and 7) transformation of ice into a snow-like surface-scattering layer.

Convener: Chris Polashenski | Co-convener: Stefanie Arndt