LZ
L. Zanna
physics.ao-phcs.LGcs.AIphysics.flu-dynnlin.CDcond-mat.stat-mechphysics.geo-phstat.MLcs.CEHot Temperature
On Valency
published · living versionsW_zugs8qcf·v1 · currentpublished
Oceanic stochastic parametrizations in a seasonal forecast system
with M. Andrejczuk, F. C. Cooper, S. Juricke, T. N. Palmer +1
1 version
Preprints & journals
58 papers in the corpus · 2014–2026Multi-model ocean oxygen fields predicted by conditional diffusion models2610.08523v1 · Linus Vogt, Laure Zanna2026 · 0 citationsarXiv
ClimateBench v2.0: Probabilistic Climate Model Benchmarking2610.04558v1 · Duncan Watson-Parris, Willa Tobin, Aytac Pacal et al.2026 · 0 citationsarXiv
Paleoclimate Boundary Conditions as an Out-of-Sample Test for the Forced Response of Ocean Climate Emulators2608.13494v1 · Adam Subel, Laure Zanna2026 · 0 citationsarXiv
Sampling sea state using a diffusion model2606.26389v1 · Jiarong Wu, Bertrand Chapron, Laure Zanna2026 · 0 citationsarXiv
Towards bridging the gap between data-driven and theoretical turbulence closures in stratified flows2606.20901v1 · Laure Zanna, Pavel Perezhogin2026 · 0 citationsarXiv
Samudra 2: Scaling Ocean Emulators across Resolutions2606.02610v2 · Yuan Yuan, Jesse Rusak, Alexander Merose et al.2026 · 0 citationsarXiv
Calibration of a neural network ocean closure for improved mean state and variability2604.06398v2 · Pavel Perezhogin, Alistair Adcroft, Laure Zanna2026 · 0 citationsarXiv
Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model2603.25843v1 · Jia-Rui Shi, Pavel Perezhogin, Laure Zanna et al.2026 · 0 citationsarXiv
Towards Infinitely Long Neural Simulations: Self-Refining Neural Surrogate Models for Dynamical Systems2603.17750v1 · Qi Liu, Laure Zanna, Joan Bruna2026 · 0 citationsarXiv
FloeNet: A mass-conserving global sea ice emulator that generalizes across climates2603.12449v1 · William Gregory, Mitchell Bushuk, James Duncan et al.2026 · 1 citationarXiv
Physics constraints and response validation in discrete-time reduced-order modeling: from idealized turbulent systems to climate dynamics2602.13847v5 · Fabrizio Falasca, Laure Zanna2026 · 0 citationsarXiv
Estimation of temperature and precipitation uncertainties using quantile neural networks2601.17243v1 · Andrew Brettin, Laure Zanna2026 · 0 citationsarXiv
Advancing global sea ice prediction capabilities using a fully coupled climate model with integrated machine learning.41477855 · Gregory, William, Bushuk, Mitchell, Zhang, Yong-Fei et al.2026 · 3 citationsScience advances. 2026;12(1):eady8957
Accelerating scientific discovery with the common task framework2511.04001v1 · J. Nathan Kutz, Peter Battaglia, Michael Brenner et al.2025 · 0 citationsarXiv
Towards a Unified Data-Driven Boundary Layer Momentum Flux Parameterization for Ocean and Atmosphere2511.01766v1 · Renaud Falga, Sara Shamekh, Laure Zanna2025 · 0 citationsarXiv
A Framework for Hybrid Physics-AI Coupled Ocean Models2510.22676v1 · Laure Zanna, William Gregory, Pavel Perezhogin et al.2025 · 1 citationarXiv
Controls on the ocean response to idealized Antarctic meltwater input2509.19730v2 · Rory Basinski-Ferris, Laure Zanna, Ian Eisenman2025 · 0 citationsarXiv
SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators2509.12490v2 · James P. C. Duncan, Elynn Wu, Surya Dheeshjith et al.2025 · 0 citationsarXiv
Generalizable neural-network parameterization of mesoscale eddies in idealized and global ocean models2505.08900v6 · Pavel Perezhogin, Alistair Adcroft, Laure Zanna2025 · 6 citationsarXiv
Time-varying global energy budget since 1880 from a reconstruction of ocean warming.40354534 · Wu, Quran, Gregory, Jonathan M, Zanna, Laure et al.2025 · 3 citationsProceedings of the National Academy of Sciences of the United States of America. 2025;122(20):e2408839122
Fourier analysis of the physics of transfer learning for data-driven subgrid-scale models of ocean turbulence2504.15487v1 · Moein Darman, Pedram Hassanzadeh, Laure Zanna et al.2025 · 0 citationsarXiv
CAMulator: Fast Emulation of the Community Atmosphere Model2504.06007v1 · William E. Chapman, John S. Schreck, Yingkai Sha et al.2025 · 2 citationsarXiv
The Impact of Natural External Forcing on Ocean Heat Uptake Efficiency Since the 1980s2504.06366v1 · Jia-Rui Shi, Laure Zanna, Alistair Adcroft2025 · 1 citationarXiv
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos2503.18731v2 · Chris Pedersen, Laure Zanna, Joan Bruna2025 · 0 citationsarXiv
Data-Driven Probabilistic Air-Sea Flux Parameterization2503.03990v3 · Jiarong Wu, Pavel Perezhogin, David John Gagne et al.2025 · 2 citationsarXiv
Uncertainty-permitting machine learning reveals sources of dynamic sea level predictability across daily-to-seasonal timescales2502.11293v2 · Andrew Brettin, Laure Zanna, Elizabeth A. Barnes2025 · 0 citationsarXiv
Samudra: An AI Global Ocean Emulator for Climate2412.03795v4 · Surya Dheeshjith, Adam Subel, Alistair Adcroft et al.2024 · 21 citationsGeophysical Research Letters 52.10 (2025)
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing2411.06604v1 · Cem Gultekin, Adam Subel, Cheng Zhang et al.2024 · 2 citationsarXiv
Addressing out-of-sample issues in multi-layer convolutional neural-network parameterization of mesoscale eddies applied near coastlines2411.01138v1 · Cheng Zhang, Pavel Perezhogin, Alistair Adcroft et al.2024 · 4 citationsarXiv
A Monte Carlo Framework for Calibrated Uncertainty Estimation in Sequence Prediction2410.23272v1 · Qidong Yang, Weicheng Zhu, Joseph Keslin et al.2024 · 0 citationsarXiv
A fluctuation-dissipation theorem perspective on radiative responses to temperature perturbations2408.12585v5 · Fabrizio Falasca, Aurora Basinski-Ferris, Laure Zanna et al.2024 · 5 citationsarXiv
Transfer Learning for Emulating Ocean Climate Variability across forcing2405.18585v3 · Surya Dheeshjith, Adam Subel, Shubham Gupta et al.2024 · 5 citationsarXiv
Data-driven dimensionality reduction and causal inference for spatiotemporal climate fields.38755921 · Falasca, Fabrizio, Perezhogin, Pavel, Zanna, Laure2024 · 14 citationsPhysical review. E. 2024;109(4-1):044202
Building Ocean Climate Emulators2402.04342v2 · Adam Subel, Laure Zanna2024 · 4 citationsarXiv
A new conceptual model of global ocean heat uptake.38425751 · Gregory, Jonathan M, Bloch-Johnson, Jonah, Couldrey, Matthew P et al.2024 · 21 citationsClimate dynamics. 2024;62(3):1669-1713
A stable implementation of a data-driven scale-aware mesoscale parameterization2311.02517v2 · Pavel Perezhogin, Cheng Zhang, Alistair Adcroft et al.2023 · 15 citationsJournal of Advances in Modeling Earth Systems, 16, e2023MS004104
Machine learning for online sea ice bias correction within global ice-ocean simulations2310.02488v1 · William Gregory, Mitchell Bushuk, Yongfei Zhang et al.2023 · 24 citationsarXiv
Reliable coarse-grained turbulent simulations through combined offline learning and neural emulation2307.13144v1 · Christian Pedersen, Laure Zanna, Joan Bruna et al.2023 · 0 citationsarXiv
Background Pycnocline depth constrains Future Ocean Heat Uptake Efficiency2307.11902v1 · Emily Newsom, Laure Zanna, Jonathan Gregory2023 · 22 citationsarXiv
Parameterizing Vertical Mixing Coefficients in the Ocean Surface Boundary Layer using Neural Networks2306.09045v3 · Aakash Sane, Brandon G. Reichl, Alistair Adcroft et al.2023 · 35 citationsJournal of Advances in Modeling Earth Systems 15, no. 10 (2023) e2023MS003890
ClimSim-Online: A Large Multi-scale Dataset and Framework for Hybrid ML-physics Climate Emulation2306.08754v6 · Sungduk Yu, Zeyuan Hu, Akshay Subramaniam et al.2023 · 20 citationsarXiv
Discovering Causal Relations and Equations from Data2305.13341v1 · Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad et al.2023 · 134 citationsarXiv
Deep learning of systematic sea ice model errors from data assimilation increments2304.03832v1 · William Gregory, Mitchell Bushuk, Alistair Adcroft et al.2023 · 39 citationsarXiv
Data-driven multiscale modeling for correcting dynamical systems2303.17496v2 · Karl Otness, Laure Zanna, Joan Bruna2023 · 3 citationsMachine Learning: Science and Technology. 6 (2025) 045072
Implementation and Evaluation of a Machine Learned Mesoscale Eddy Parameterization into a Numerical Ocean Circulation Model2303.00962v1 · Cheng Zhang, Pavel Perezhogin, Cem Gultekin et al.2023 · 38 citationsarXiv
Generative data-driven approaches for stochastic subgrid parameterizations in an idealized ocean model2302.07984v1 · Pavel Perezhogin, Laure Zanna, Carlos Fernandez-Granda2023 · 33 citationsarXiv
Exploring the non-stationarity of coastal sea level probability distributions2211.04608v2 · Fabrizio Falasca, Andrew Brettin, Laure Zanna et al.2022 · 3 citationsarXiv
Deep Probability Estimation2111.10734v4 · Sheng Liu, Aakash Kaku, Weicheng Zhu et al.2021 · 7 citationsProceedings of the 39th International Conference on Machine Learning, PMLR 162:13746-13781, 2022
Publisher Correction: Heat and carbon coupling reveals ocean warming due to circulation changes.33005054 · Bronselaer, Ben, Zanna, Laure2020 · 2 citationsNature. 2020;586(7830):E29
Heat and carbon coupling reveals ocean warming due to circulation changes.32788734 · Bronselaer, Ben, Zanna, Laure2020 · 125 citationsNature. 2020;584(7820):227-233
Career total: at least 246 works. 58 are in this corpus.Showing the 50 most recent.
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