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CORDIS

Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Environmental Research Letters (opens in new window)

Author(s): Elizabeth A Barnes; Noah S Diffenbaugh; Sonia I Seneviratne
Published in: Environmental Research Letters, Issue 20 (1), 2024, ISSN 1748-9326
Publisher: IOP Science
DOI: 10.3929/ETHZ-B-000712192

Sub-seasonal forest carbon dynamics lose persistence under extremes (opens in new window)

Author(s): Tristan K E Williams, Álvaro Moreno Martínez, Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls
Published in: Environmental Research Letters, Issue 20, 2025, ISSN 1748-9326
Publisher: IOP Publishing
DOI: 10.1088/1748-9326/ADE8FF

Scale‐Aware Parameterization of Cloud Fraction and Condensate for a Global Atmospheric Model Machine‐Learned From Coarse‐Grained Kilometer‐Scale Simulations (opens in new window)

Author(s): Cyril Morcrette, Tobias Cave, Helena Reid, Joana da Silva Rodrigues, Teo Deveney, Lisa Kreusser, Kwinten Van Weverberg, Chris Budd
Published in: Journal of Advances in Modeling Earth Systems, Issue 17, 2025, ISSN 1942-2466
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004651

Early-twentieth-century cold bias in ocean surface temperature observations (opens in new window)

Author(s): Sippel, Sebastian; Kent, Elizabeth C.; Meinshausen, Nicolai; Chan, Duo; Kadow, Christopher; Neukom, Raphael; Fischer, Erich M.; Humphrey, Vincent; Rohde, Robert; de Vries, Iris; Knutti, Reto
Published in: Nature, Issue 635, 2024, ISSN 1476-4687
Publisher: Springer Nature
DOI: 10.5194/EGUSPHERE-EGU25-6761

Distilling Machine Learning’s Added Value: Pareto Fronts in Atmospheric Applications (opens in new window)

Author(s): Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist
Published in: Artificial Intelligence for the Earth Systems, Issue 4, 2025, ISSN 2769-7525
Publisher: American Meteorological Society
DOI: 10.1175/AIES-D-24-0078.1

Artificial intelligence for modeling and understanding extreme weather and climate events (opens in new window)

Author(s): Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, Jorge Pérez-Aracil, Katja Weigel, Maria Gonzalez-Calabuig, Markus Reichstein, Martin Rabel, Matteo Giuliani, Miguel D. Mahecha, Oana-Iuliana Popescu, Oscar J. Pellicer-Valero, Said Ouala, Sancho Salcedo-Sanz, Sebastian Sippel, Spyros Kondylatos, Tamara Happé, Tristan Williams
Published in: Nature Communications, Issue 16, 2025, ISSN 2041-1723
Publisher: Springer Science and Business Media LLC
DOI: 10.1038/S41467-025-56573-8

Combining climate models and observations to predict the time remaining until regional warming thresholds are reached (opens in new window)

Author(s): Elizabeth A Barnes, Noah S Diffenbaugh, Sonia I Seneviratne
Published in: Environmental Research Letters, Issue 20, 2025, ISSN 1748-9326
Publisher: IOP Publishing
DOI: 10.1088/1748-9326/AD91CA

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties With Deep Learning Multi‐Member and Stochastic Parameterizations (opens in new window)

Author(s): Gunnar Behrens, Tom Beucler, Fernando Iglesias‐Suarez, Sungduk Yu, Pierre Gentine, Michael Pritchard, Mierk Schwabe, Veronika Eyring
Published in: Journal of Advances in Modeling Earth Systems, Issue 17, 2025, ISSN 1942-2466
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004272

Analyzing climate scenarios using dynamic mode decomposition with control (opens in new window)

Author(s): Nathan Mankovich, Shahine Bouabid, Peer Nowack, Deborah Bassotto, Gustau Camps-Valls
Published in: Environmental Data Science, Issue 4, 2025, ISSN 2634-4602
Publisher: Cambridge University Press (CUP)
DOI: 10.1017/EDS.2025.8

Enhanced Computational Complexity in Continuous-Depth Models: Neural Ordinary Differential Equations With Trainable Numerical Schemes (opens in new window)

Author(s): Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2025.3599629

Adjoint‐Based Online Learning of Two‐Layer Quasi‐Geostrophic Baroclinic Turbulence (opens in new window)

Author(s): F. E. Yan, H. Frezat, J. Le Sommer, J. Mak, K. Otness
Published in: Journal of Advances in Modeling Earth Systems, Issue 17, 2025, ISSN 1942-2466
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004857

Either Or: Interactive Articles or Videos for Climate Science Communication (opens in new window)

Author(s): J. Poehls, M. Meuschke, N. Carvalhais, K. Lawonn
Published in: Computer Graphics Forum, Issue 44, 2025, ISSN 0167-7055
Publisher: Wiley
DOI: 10.1111/CGF.70129

Improving vertical detail in simulated temperature and humidity data using machine learning (opens in new window)

Author(s): Joana D. da Silva Rodrigues, Cyril J. Morcrette
Published in: Atmospheric Science Letters, Issue 26, 2025, ISSN 1530-261X
Publisher: Wiley
DOI: 10.1002/ASL.1288

Record-breaking extremes in a warming climate (opens in new window)

Author(s): Fischer, Erich; Bador, Margot; Huser, Raphaël; Kendon, Elizabeth; Robinson, Alexander; Sippel, Sebastian
Published in: Nature Reviews Earth & Environment, Issue 6 (7), 2025, ISSN 2662-138X
Publisher: Springer Nature
DOI: 10.1038/S43017-025-00681-Y

Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching (opens in new window)

Author(s): P. Bonnet; L. Pastori; M. Schwabe; M. Giorgetta; F. Iglesias-Suarez; V. Eyring; V. Eyring
Published in: Geoscientific Model Development, Issue 18 (12), 2025, ISSN 1991-9603
Publisher: EGU
DOI: 10.5194/GMD-18-3681-2025

Online calibration of deep learning sub-models for hybrid numerical modeling systems (opens in new window)

Author(s): Ouala, Said; Chapron, Bertrand; Collard, Fabrice; Gaultier, Lucile; Fablet, Ronan
Published in: Communications Physics, Issue 7, 2024, ISSN 2399-3650
Publisher: Springer Nature
DOI: 10.48550/ARXIV.2311.10665

Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing. (opens in new window)

Author(s): Schlund, M., Andela, B., Benke, J., Comer, R., Hassler, B., Hogan, E., Kalverla, P., Lauer, A., Little, B., Loosveldt Tomas, S., Nattino, F., Peglar, P., Predoi, V., Smeets, S., Worsley, S., Yeo, M., & Zimmermann, K.
Published in: Geoscientific Model Development, Issue 18, 2025, ISSN 1991-9603
Publisher: EGU
DOI: 10.5194/GMD-2024-236

Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization (opens in new window)

Author(s): Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider
Published in: Journal of Advances in Modeling Earth Systems, Issue 16, 2025, ISSN 1942-2466
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004485

Examining the Fidelity of Leith Subgrid Closures for Parameterizing Mesoscale Eddies in Idealized and Global (NEMO) Ocean Models (opens in new window)

Author(s): T. Wilder, T. Kuhlbrodt
Published in: Journal of Advances in Modeling Earth Systems, Issue 17, 2025, ISSN 1942-2466
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2025MS004950

Estimating Information Theoretic Measures via Multidimensional Gaussianization (opens in new window)

Author(s): Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Issue 47, 2025, ISSN 0162-8828
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3495827

Calibration and uncertainty quantification for deep learning-based drought detection (opens in new window)

Author(s): Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
Published in: International Journal of Applied Earth Observation and Geoinformation, Issue 140, 2025, ISSN 1569-8432
Publisher: Elsevier BV
DOI: 10.1016/J.JAG.2025.104563

Navigating the Noise: Bringing Clarity to ML Parameterization Design With O $\boldsymbol{\mathcal{O}}$(100) Ensembles (opens in new window)

Author(s): Jerry Lin, Sungduk Yu, Liran Peng, Tom Beucler, Eliot Wong‐Toi, Zeyuan Hu, Pierre Gentine, Margarita Geleta, Mike Pritchard
Published in: Journal of Advances in Modeling Earth Systems, Issue 17, 2025, ISSN 1942-2466
Publisher: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004551

Flash drought impacts on global ecosystems amplified by extreme heat (opens in new window)

Author(s): Lei Gu; Dominik L. Schumacher; Erich M. Fischer; Louise J. Slater; Jiabo Yin; Sebastian Sippel; Jie Chen; Pan Liu; Reto Knutti
Published in: Nature Geoscience, Issue 18, 2025, ISSN 1752-0908
Publisher: Springer Nature
DOI: 10.3929/ETHZ-B-000739383

Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors (opens in new window)

Author(s): Beauchamp, Maxime; Fablet, Ronan; Benaichouche, Simon; Tandeo, Pierre; Desassis, Nicolas; Chapron, Bertrand
Published in: Artificial Intelligence for the Earth Systems, Issue 4 (3), 2025, ISSN 2769-7525
Publisher: American Meteorological Society
DOI: 10.48550/ARXIV.2402.01855

Classifying and Tracking of Mesoscale Cloud Patterns from Satellite Images using Machine Learning

Author(s): Granberg, A., & Lundholm, V.
Published in: 2025
Publisher: DiVA, Linköping University

Towards Physically Consistent Deep Learning For Climate Model Parameterizations (opens in new window)

Author(s): Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring
Published in: 2024 International Conference on Machine Learning and Applications (ICMLA), 2025
Publisher: IEEE
DOI: 10.1109/ICMLA61862.2024.00044

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