CR
Cryospheric Sciences
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Andrew McDonald

Andrew McDonald is a PhD student in the AI4ER CDT (https://ai4er-cdt.esc.cam.ac.uk/) at the University of Cambridge and British Antarctic Survey working alongside Scott Hosking and Rich Turner to advance the intersection of machine learning and climate science as part of the IceNet (https://icenet.ai/) project. His research is focused on improving sea ice forecasting with diffusion models.

Did you know? Machine learning can help us understand the cryosphere!

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    Recently, Machine Learning (ML) has emerged as a powerful tool within cryospheric sciences, offering innovative and effective solutions for observing, modelling and understanding the frozen regions of the Earth. From learning snowfall patterns and predicting avalanche dynamics to speeding up the process of modelling ice sheets, ML has transformed cryospheric sciences and bears many o ...[Read More]