Learning Continuous Regional Temperature Fields with Lead-Time and Resolution Queries
cs.LG, cs.MM
Submitted: 2026-08-26
Updated: 2026-08-26
Terminology
Sources
- AI Foundation Models for Weather and Climate: Applications, Design, and Implementation
- MambaDS: Near-Surface Meteorological Field Downscaling with Topography Constrained Selective State Space Modeling
- FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead
- ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting
- Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
- ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
- RainODE: Continuous-Time Precipitation Forecasting with Latent Neural ODEs
- FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
- Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
- Fourier Neural Operator for Parametric Partial Differential Equations
- Adaptive Fourier Neural Operators: Efficient Token Mixers for Transformers
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