Benchmarking Deterministic and Generative Machine Learning Models for Statistical Climate Downscaling over Europe
Abstract
Climate models typically operate at coarse spatial resolution (~100 km) due to computational constraints, yet many climate-change impact assessments require fine-scale information (
Fields of Study & Subjects
Climate variability and models
Meteorological Phenomena and Simulations
Climate change impacts on agriculture
Publication details
- Journal / source
- EGU General Assembly Conference Abstracts
- Publication date
- 14 March 2026
- Language
- EN