Zanna, Laure
- Discovering Causal Relations and Equations from Data
2023/05/21 by Gustau Camps‐Valls, Camps-Valls, Gustau, Andreas Gerhardus +17 · 12 citations
Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Methodology (stat.ME) #Reservoir Engineering and Simulation Methods #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- Samudra: An AI Global Ocean Emulator for Climate
2024/12/05 by Surya Dheeshjith, Adam Subel, Dheeshjith, Surya +11 · 12 citations
Engineering · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
- 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 · 6 citations
Earth and Planetary Sciences · Physics and Astronomy · Environmental Science · #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Hydrological Forecasting Using AI
- CAMulator: Fast Emulation of the Community Atmosphere Model
2025/04/08 by William E. Chapman, John S. Schreck, Chapman, William E. +13 · 1 voice · 11 citations
Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research #physics.ao-ph
- Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos
2025/03/24 by Pedersen, Chris, Zanna, Laure, Bruna, Joan · 9 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A fluctuation-dissipation theorem perspective on radiative responses to temperature perturbations
2024/08/22 by Falasca, Fabrizio, Basinski-Ferris, Aurora, Zanna, Laure +1 · 5 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #Chaotic Dynamics (nlin.CD) #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech)
- Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization into a Numerical Ocean Circulation Model
2023/03/02 by Zhang, Cheng, Perezhogin, Pavel, Gultekin, Cem +3 · 3 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
- Background Pycnocline depth constrains Future Ocean Heat Uptake Efficiency
2023/07/21 by Emily R. Newsom, Newsom, Emily, Laure Zanna +3 · 3 citations
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Physical sciences #Ocean Acidification Effects and Responses #Oceanographic and Atmospheric Processes
- Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines
2024/11/02 by Zhang, Cheng, Perezhogin, Pavel, Adcroft, Alistair +1 · 4 citations
#FOS: Physical sciences #Geophysics (physics.geo-ph)
- Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models
2025/05/13 by Perezhogin, Pavel, Adcroft, Alistair, Zanna, Laure · 5 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
- SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
2025/09/15 by Duncan, James P. C., Wu, Elynn, Dheeshjith, Surya +15 · 7 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
- Exploring the non-stationarity of coastal sea level probability distributions
2022/11/08 by Falasca, Fabrizio, Brettin, Andrew, Zanna, Laure +3 · 1 citation
#Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences
- Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning
2025/05/23 by William Gregory, William K. Gregory, Gregory, William +13 · 1 voice · 3 citations
Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #physics.ao-ph
- A Data-Driven Approach for Parameterizing Submesoscale Vertical Buoyancy Fluxes in the Ocean Mixed Layer
2023/12/12 by Barge, Alexis, Bodner, Abigail, Contreras, Marcela +4 · 1 citation
Earth and Planetary Sciences · Engineering · #Oceanographic and Atmospheric Processes #Reservoir Engineering and Simulation Methods #Seismic Imaging and Inversion Techniques
- Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales
2025/02/16 by Andrew Brettin, Brettin, Andrew, Laure Zanna +3 · 2 citations
Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Geophysics and Gravity Measurements #Oceanographic and Atmospheric Processes
- An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
2024/11/10 by Cem Gültekin, Gultekin, Cem, Adam Subel +13 · 2 citations
Engineering · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Machine Fault Diagnosis Techniques #Oil and Gas Production Techniques #Power Line Inspection Robots
- Transfer Learning for Emulating Ocean Climate Variability across CO2 forcing
2024/05/28 by Surya Dheeshjith, Adam Subel, Dheeshjith, Surya +11 · 1 citation
Earth and Planetary Sciences · Environmental Science · #Atmospheric and Environmental Gas Dynamics #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #FOS: Physical sciences #Ocean Acidification Effects and Responses
- Building Ocean Climate Emulators
2024/02/06 by Adam Subel, Subel, Adam, Laure Zanna +1 · 1 citation
Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Ocean Acidification Effects and Responses