Hess, Philipp

1. Fast, Scale-Adaptive, and Uncertainty-Aware Downscaling of Earth System Model Fields with Generative Machine Learning
   2024/03/05 by Philipp Hess, Hess, Philipp, Michael Aich +5 · 7 citations
   Computer Science · Earth and Planetary Sciences · Engineering · #Advanced Computational Techniques and Applications #Atmospheric and Oceanic Physics (physics.ao-ph) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Physical sciences #Geological Modeling and Analysis #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
2. Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
   2022/08/25 by Philipp Heß, Markus Drüke, Hess, Philipp +7 · 3 citations
   Earth and Planetary Sciences · Environmental Science · Computer Science · #Meteorological Phenomena and Simulations #Climate variability and models #Computational Physics and Python Applications
3. Conditional diffusion models for downscaling and bias correction of Earth system model precipitation
   2024/04/05 by Michael Aich, Aich, Michael, Philipp Hess +9 · 3 citations
   Earth and Planetary Sciences · #Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate change and permafrost #FOS: Computer and information sciences #FOS: Physical sciences #Geological Studies and Exploration #Geophysics (physics.geo-ph) #Geophysics and Gravity Measurements #Machine Learning (cs.LG)
4. Deep learning for bias-correcting CMIP6-class Earth system models
   2022/12/16 by Philipp Heß, Stefan Lange, Hess, Philipp +3 · 2 citations
   Computer Science · Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations