arXiv Machine Learning
Post-Training Quantization of Autoregressive Weather Models
Read the original on arXiv Machine Learning →The Flow has not summarised this story yet — read it at arXiv Machine Learning.
Related stories
arXiv Machine Learning
Oct 8
Artificial intelligence pathways from weather to climate
arXiv:2610.09770v1 Announce Type: cross Abstract: Deep learning has made rapid advances in weather forecasting: autoregressive models trained on atmospheric reanalyses now rival dynamical models acro...
arXiv Machine Learning
Sep 22
Learning Prognostic Variables for AI Convective Parameterizations via Symbolic Distillation
arXiv:2609.24882v1 Announce Type: new Abstract: Hybrid AI-physics climate modeling aims to improve coarse (~100km-resolution) Earth system models by learning to parameterize subgrid processes from hi...
Hugging Face Trending Papers
Oct 7
Artificial intelligence pathways from weather to climate
Deep learning has made rapid advances in weather forecasting: autoregressive models trained on atmospheric reanalyses now rival dynamical models across nowcasting, medium-range, and subseasonal-to-sea...
arXiv Machine Learning
Jul 1
Scaling Storm-Resolving Atmospheric AI Simulation to the Entire Planet
arXiv:2606. 31248v1 Announce Type: cross Abstract: Kilometer-scale convection shapes precipitation extremes, tropical organization, and cloud feedbacks, but most global atmospheric models approximate these processes at 25-100 km resolution.
arXiv Machine Learning
Sep 21
Learning to Advect: A Neural Semi-Lagrangian Architecture for Weather Forecasting
arXiv:2601.21151v3 Announce Type: replace Abstract: Machine-learning approaches to weather forecasting often employ a monolithic architecture in which distinct physical mechanisms, such as advection,...
arXiv Machine Learning
Jun 26
Otter Weather: Skillful and Computationally Efficient Medium-Range Weather Forecasting
arXiv:2606. 26421v1 Announce Type: new Abstract: State-of-the-art medium-range AI weather models can outperform traditional Numerical Weather Prediction (NWP) but require massive training budgets.