Primary Convener:
Matthias Scheiter, Université Libre de Bruxelles

Convener:
Emma Mackie, University of Florida
Tian Li, University of Bristol
Ralf Greve, Hokkaido University

Chair:
Emma Mackie, Stanford University
Matthias Scheiter, Université Libre de Bruxelles

A major challenge in glacier and ice sheet studies is to address uncertainties arising from observations, physical processes, and numerical models. These uncertainties are reflected in projections of, e.g. sea level rise and freshwater availability, and understanding them is essential for planning, mitigation, and policy-making. Observations are often limited by the remoteness of study areas, especially for subsurface processes that are difficult to observe directly. Process understanding is further complicated by the interplay of ice, ocean, atmosphere, and solid Earth, obscuring cause and effect at the individual-process scale. Numerical models help to bridge spatiotemporal gaps, but introduce their own uncertainties. This session provides a forum to discuss the quantification, reduction, and propagation of uncertainties across different areas of glaciology. We particularly welcome novel and exploratory approaches, including ensemble studies, Bayesian inference, and artificial intelligence. We also welcome interdisciplinary efforts to improve uncertainty characterization in the cryospheric sciences across all scales.

Index Terms
0720 Glaciers
0726 Ice sheets
0798 Modeling
3275 Uncertainty quantification

Neighborhoods:
3. Earth Covering