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Learn to quantify uncertainties in multi-model, multi-input ensembles for ice sheet and glacier change projections in this seminar by Professor Tamsin Edwards from King's College London. Explore advanced statistical methods for representing, calibrating, and leveraging prediction uncertainty in climate modeling applications. Examine how multiple models and input parameters contribute to uncertainty in ice sheet dynamics and glacier behavior predictions. Discover techniques for combining different modeling approaches to better understand and communicate the range of possible future scenarios for ice sheet and glacier systems. Gain insights into the challenges of uncertainty quantification in complex Earth system models and learn practical approaches for handling multi-model ensembles in glaciological research.
