Author

M. Wang

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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