3 papers
physics.ao-ph2026
IPSL-AID: Generative Diffusion Models for Climate Downscaling from Global to Regional Scales
Kishanthan Kingston, Olivier Boucher, Freddy Bouchet +5
Effective adaptation and mitigation strategies for climate change require high-resolution projections to inform strategic decision-making. Conventional global climate models, which…
cs.LG2025
Multiscale Neural PDE Surrogates for Prediction and Downscaling: Application to Ocean Currents
Abdessamad El-Kabid, Loubna Benabbou, Redouane Lguensat +1
Accurate modeling of physical systems governed by partial differential equations is a central challenge in scientific computing. In oceanography, high-resolution current data are c…
cs.LG2025
Learning to generate physical ocean states: Towards hybrid climate modeling
Etienne Meunier, David Kamm, Guillaume Gachon +2
Ocean General Circulation Models require extensive computational resources to reach equilibrium states, while deep learning emulators, despite offering fast predictions, lack the p…