Beucler, Tom
- Climate-Invariant Machine Learning
2021/12/14 by Beucler, Tom, Gentine, Pierre, Yuval, Janni +10 · 14 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
2023/06/14 by Sungduk Yu, Z W Hu, Yu, Sungduk +91 · 5 citations
Earth and Planetary Sciences · Physics and Astronomy · Environmental Science · #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Hydrological Forecasting Using AI
- Distilling Machine Learning's Added Value: Pareto Fronts in Atmospheric Applications
2024/08/04 by Tom Beucler, Arthur Grundner, Beucler, Tom +9 · 3 citations
Decision Sciences · Earth and Planetary Sciences · Environmental Science · #Air Quality Monitoring and Forecasting #Atmospheric and Oceanic Physics (physics.ao-ph) #Big Data Technologies and Applications #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
- Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling
2019/06/15 by Beucler, Tom, Rasp, Stephan, Pritchard, Michael +1 · 1 citation
#Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
2024/02/05 by Behrens, Gunnar, Beucler, Tom, Iglesias-Suarez, Fernando +5 · 2 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
- Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
2023/09/28 by Y. S. Lin, Lin, Jerry, Sungduk Yu +11 · 2 citations
Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Meteorological Phenomena and Simulations #Hydrology and Watershed Management Studies
- From Winter Storm Thermodynamics to Wind Gust Extremes: Discovering Interpretable Equations from Data
2025/04/10 by Tam, Frederick Iat-Hin, Augsburger, Fabien, Beucler, Tom · 1 citation
#Applications (stat.AP) #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences
- Next-Generation Earth System Models: Towards Reliable Hybrid Models for Weather and Climate Applications
2023/11/22 by Beucler, Tom, Koch, Erwan, Kotlarski, Sven +3 · 1 citation
#Artificial Intelligence (cs.AI) #Atmospheric and Oceanic Physics (physics.ao-ph) #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences
- Improving Predictions of Convective Storm Wind Gusts through Statistical Post-Processing of Neural Weather Models
2025/03/31 by Antoine Leclerc, Erwan Koch, Leclerc, Antoine +7 · 1 citation
Earth and Planetary Sciences · 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) #Meteorological Phenomena and Simulations #Wind and Air Flow Studies
- Reduced Cloud Cover Errors in a Hybrid AI-Climate Model Through Equation Discovery And Automatic Tuning
2025/05/07 by Grundner, Arthur, Beucler, Tom, Savre, Julien +3 · 2 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences