3 papers
cs.CY2026
Tackling "AI against sustainability"
Stefanie Kunkel, Malcolm Campbell-Verduyn, Simon Driscoll +2
Current debates on AI and sustainability are dichotomised, tending to focus on either the environmental impact of AI systems themselves ("sustainability of AI") or AI's potential f…
cs.LG2026
Investigating Inductive Biases for Machine Learning Emulation of Sudden Stratospheric Warmings in Idealised Isca Simulations
Oskar Bohn Lassen, Simon Driscoll, Stephen I. Thomson +2
Machine-learning emulators are increasingly used for weather prediction and have the potential to extend skill on subseasonal-to-seasonal timescales by learning dynamically importa…
cs.LG2023
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
Andrew J. Charlton-Perez, Helen F. Dacre, Simon Driscoll +8
There has been huge recent interest in the potential of making operational weather forecasts using machine learning techniques. As they become a part of the weather forecasting too…