2 papers
physics.ao-ph2026
Blending machine learning and physics-based approaches for weather and climate: a typology
Benjamin J Shipway, Caroline Bain, David Walters +6
The integration of machine learning (ML) with traditional physics-based models is reshaping the landscape of weather and climate prediction. On their own, ML-based and physics-base…
physics.ao-ph2026
Machine learning emulation of precipitation from km-scale UK regional climate simulations using a diffusion model
Henry Addison, Elizabeth Kendon, Suman Ravuri +2
High-resolution climate simulations are valuable for understanding climate change impacts. This has motivated use of regional convection-permitting climate models (CPMs), but these…