Bridging short- and medium-range weather forecasting with machine learning
physics.ao-ph, cs.LG
Submitted: 2026-08-27
Updated: 2026-08-27
Code: https://github.com/NOAA-PSL/nested-eagle
Terminology
Sources
- Building Machine Learning Limited Area Models: Kilometer-Scale Weather Forecasting in Realistic Settings
- Skillful joint probabilistic weather forecasting from marginals
- FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
- Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
- HealDA: Highlighting the importance of initial errors in end-to-end AI weather forecasts
- HourGlass: A probabilistic data-driven temporal downscaler for global and regional weather forecasting
- AIFS -- ECMWF's data-driven forecasting system
- Pointwise is Pointless? A Multimodal Ablation Study for Precipitation Nowcasting with Graph Neural Networks
- High-Resolution Probabilistic Data-Driven Weather Modeling with a Stretched-Grid
- Graph-based Neural Weather Prediction for Limited Area Modeling
- Learning Accurate Storm-Scale Evolution from Observations
- Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
- AIFS-DOP: End-to-End Medium-Range Weather Prediction from Observations Alone with Machine Learning
- XiChen: A global weather observation-to-forecast machine learning system via four-dimensional variational gradient-guided flexible assimilation
- Skillful high-resolution weather forecasting independent of physical models
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