Matt gave an interview for ITV news about the weather pattern causing the hot and dry spring this year. You can watch the interview here.
Matt wrote an article with Dr Simon Lee on the recent dry spring and how this may or may not have been linked to climate change. Read it here.
NCAS St Andrews received approval to develop and run a "Machine Learning for Atmospheric Science" school in 2026. The course will give attendees a hands-on introduction to machine learning and its applications in climate and atmospheric research. Like other NCAS training events, the school will be open to both academics and professionals. Dust off your Jupyter Notebooks and get ready to program some networks!
Ioana published the group's inaugural peer-reviewed paper in Geophysical Research Letters: "A machine learning-based approach to quantify ENSO sources of predictability." The study uses a deep learning approach to show that near-surface wind is a key contributor to the predictability of the El-Nino Southern Oscillation. This finding could help predict ENSO, which plays a significant role in extreme weather, far in advance of its impacts.