José González-Abad

1. Multi-variable Hard Physical Constraints for Climate Model Downscaling
   2023/08/02 by José González-Abad, González-Abad, Jose, Álex Hernández-García +7 · 4 citations
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate change and permafrost #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
2. Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
   2023/02/03 by José González-Abad, González-Abad, Jose, Jorge Baño‐Medina +3 · 2 citations
   Earth and Planetary Sciences · Environmental Science · #Applications (stat.AP) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations
3. Deep Ensembles to Improve Uncertainty Quantification of Statistical Downscaling Models under Climate Change Conditions
   2023/04/27 by José González-Abad, Jorge Baño‐Medina, González-Abad, Jose +1 · 1 citation
   Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #FOS: Physical sciences #Hydrology and Watershed Management Studies #Machine Learning (cs.LG)
4. Are Deep Learning Methods Suitable for Downscaling Global Climate Projections? An Intercomparison for Temperature and Precipitation over Spain
   2024/11/06 by José González-Abad, González-Abad, Jose, José Manuel Gutiérrez +1 · 1 citation
   Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)