Author

Ignacio Lopez-Gomez

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Open access Sep 2026

Regional climate risk assessment from climate models using probabilistic machine learning

Effective climate risk assessment is hindered by the resolution gap between coarse global climate models and the fine-scale information needed for regional decision making. Existing downscaling methods struggle to bridge this gap: physics-based methods are too computationally expensive for large ensemble sampling of...

Zhong-Yi Wan, I. Lopez-Gomez, Rob Carver et al. · Nature Machine Intelligence · 0 citations

Preprint Aug 2026

DySCo: Dynamically consistent data-driven downscaling of extremes in climate projections

Results show DySCo achieves superior dynamical consistency with the coarse GCM trajectories, essentially applying a minimal, causal correction to the GCM, preserving top statistical performance comparable to state-of-the-art unsupervised models.

S. Stamatelopoulos, M. Wang, I. Lopez-Gomez et al. · 0 citations