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Dr Simon Driscoll

PhD Student

Research interests

I am interested in using machine learning to learn sub-grid scale thermodynamical processes (those of melt ponds) in Arctic sea ice – this is important as 1) many scientific problems are not necessarily amenable to empirical models/derivations based on first principles, 2) melt ponds play a crucial role in the Arctic’s energy balance and 3) many climate models lack a melt pond parametrisation. Incorporating hybrid machine learning-data assimilation techniques, our work will create a new parametrisation of melt pond processes to be included in climate models around the world.