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Cambridge Centre for Climate Science



I am an Environmental Data Scientist at the British Antarctic Survey (BAS) and The Alan Turing Institute, the UK national institute for AI and data science.  I use a combination of traditional and machine learning analysis techniques on data from climate models, satellite and in-situ observations to study dynamical and chemical atmospheric processes, bridging between global and local scales. The primary aims of my work are to identify and understand the key mechanisms that drive year-to-year climate variability over vulnerable regions, the changes in frequency and strength of extreme weather and climate events, and reduce uncertainties in future climate projections.


Key publications: 
Environmental Data Scientist
Dr Scott  Hosking


Person keywords: 
atmospheric physics and dynamics
Machine Learning