2 papers
cs.LG2026
Diffusion Distillation for Efficient Weather Ensembles
Yiming Yang, Valentin Brekke, James Briant +1
Diffusion models generate skillful weather ensembles but require costly iterative sampling. We introduce a supervised energy-distance distillation method that compresses a multi-st…
physics.ao-ph2024
Embedding machine-learnt sub-grid variability improves climate model biases
Daniel Giles, James Briant, Cyril J. Morcrette +1
The under-representation of cloud formation is a long-standing bias associated with climate simulations. Parameterisation schemes are required to capture cloud processes within cur…