3 papers
cs.LG2026
Scalable Deep Learning Framework for Global High-Resolution Land Use Reconstruction
Amirpasha Mozaffari, Marina Castaño, Stefano Materia +7
Uncertainty in the terrestrial carbon cycle remains a major constraint in climate projections, partly driven by the uncertainties affecting the land surface representation and vari…
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…