Lightweight Probabilistic Downscaling from a Deterministic Base Model

arXiv:2609.29383 · cs.LG · Submitted 2026-09-24 · Read on arXiv

cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Benchmark — 5× in this paper · explained in 2 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Sparse Attention — 5× in this paper · explained in 5 episodes
• Two-stage training — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Diffusion Model — 4× in this paper · explained in 8 episodes
• Generative Models — 4× in this paper · explained in 2 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• U-net architecture — 2× in this paper · explained in 3 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Monte Carlo — 1× in this paper
• Probabilistic Forecasting — 1× in this paper · explained in 3 episodes
• Transferability — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview
• Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function

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