Liran Peng
- Climate-Invariant Machine Learning
2021/12/14 by Tom Beucler, Beucler, Tom, Pierre Gentine +21 · 15 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
- ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation
2023/06/14 by Sungduk Yu, Zeyuan Hu, Yu, Sungduk +95 · 1 voice · 6 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #cs.LG #physics.ao-ph
- Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
2023/09/28 by Jerry Lin, Y. S. Lin, Sungduk Yu +16 · 1 voice · 2 citations
Computer Science · Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Climate variability and models #Hydrology and Watershed Management Studies #Meteorological Phenomena and Simulations #cs.LG #physics.ao-ph
- Comparing Storm Resolving Models and Climates via Unsupervised Machine Learning
2022/08/25 by Griffin Mooers, Mike Pritchard, Mooers, Griffin +13 · 1 citation
Earth and Planetary Sciences · Environmental Science · #Meteorological Phenomena and Simulations #Climate variability and models #Flood Risk Assessment and Management
- Multi-fidelity climate model parameterization for better generalization and extrapolation
2023/09/19 by Mohamed Aziz Bhouri, Liran Peng, Bhouri, Mohamed Aziz +5 · 1 citation
Earth and Planetary Sciences · Engineering · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations