3 papers
physics.ao-ph2026
Learning Climate Variability from Scarce Data with Diffusion Models: A Test Case for ENSO
Lluis Palma, Vincent Verjans, Amanda Duarte +2
Diffusion models are increasingly applied to climate emulation, but whether they capture the correct modes of variability remains unclear, a concern amplified by data scarcity at l…
physics.ao-ph2026
The Rise of AI in Weather and Climate Information and its Impact on Global Inequality
Amirpasha Mozaffari, Amanda Duarte, Lina Teckentrup +8
AI development's current trajectory risks automating and amplifying the North-South divide in the global climate information system. Frontier models are built almost exclusively in…
physics.ao-ph2025
Data-driven Seasonal Climate Predictions via Variational Inference and Transformers
LluÃs Palma, Alejandro Peraza, David Civantos +7
Most operational climate services providers base their seasonal predictions on initialised general circulation models (GCMs) or statistical techniques that fit past observations. G…