CasEm: A Cascade Architecture for Long-Horizon Neural Emulation
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Sources
- Challenges of learning multi-scale dynamics with AI weather models: Implications for stability and one solution
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
- HiRO-ACE: Fast and skillful AI emulation and downscaling trained on a 3 km global storm-resolving model
- ACE: A fast, skillful learned global atmospheric model for climate prediction
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