2 papers
physics.geo-ph2025
Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region
Parthiban Loganathan, Elias Zea, Ricardo Vinuesa +1
Rapid changes and increasing climatic variability across the widely varied Koppen-Geiger regions of northern Europe generate significant needs for adaptation. Regional planning nee…
cs.LG2025
Regional climate projections using a deep-learning-based model-ranking and downscaling framework: Application to European climate zones
Parthiban Loganathan, Elias Zea, Ricardo Vinuesa +1
Accurate regional climate forecast calls for high-resolution downscaling of Global Climate Models (GCMs). This work presents a deep-learning-based multi-model evaluation and downsc…