18 citations · 38 across the 8 of their papers we have counts for
4 papers · 1 filter
CORDEX-ML-Bench: A Benchmark for Data-Driven Regional Climate Downscaling -Experiment Design and Overview
Neelesh Rampal, José González-Abad, Henry Addison +34
Machine learning (ML) has emerged as a cost-effective approach to complement dynamical downscaling for producing high-resolution regional climate projections. However, the absence…
Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
Jose González-Abad, José Manuel Gutiérrez
Deep Learning (DL) has shown promise for downscaling global climate change projections under different approaches, including Perfect Prognosis (PP) and Regional Climate Model (RCM)…
A Likelihood-Based Generative Approach for Spatially Consistent Precipitation Downscaling
Jose González-Abad
Deep learning has emerged as a promising tool for precipitation downscaling. However, current models rely on likelihood-based loss functions to properly model the precipitation dis…
Multi-variable Hard Physical Constraints for Climate Model Downscaling
Jose González-Abad, Álex Hernández-García, Paula Harder +2
Global Climate Models (GCMs) are the primary tool to simulate climate evolution and assess the impacts of climate change. However, they often operate at a coarse spatial resolution…