XAI4Extremes: An interpretable machine learning framework for understanding extreme-weather precursors under climate change.
CoRR, March, 2025
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints.
CoRR, February, 2025
Data-driven Surface Solar Irradiance Estimation using Neural Operators at Global Scale.
CoRR, 2024
GAIA-Chem: A Framework for Global AI-Accelerated Atmospheric Chemistry Modelling.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2024
Reducing the Carbon Footprint of Ensemble Weather Forecasting with GPUs.
Proceedings of the IEEE Region 10 Conference, 2023
Challenges and opportunities for a hybrid modelling approach to earth system science.
CCF Trans. High Perform. Comput., 2021