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

Información del proyecto

AI4PEX

Identificador del acuerdo de subvención: 101137682

DOI

10.3030/101137682

Fecha de la firma de la CE 24 Octubre 2023

Fecha de inicio 1 Abril 2024

Fecha de finalización 31 Marzo 2028

Financiado con arreglo a

• Climate, Energy and Mobility

Coste total

Sin datos

Aportación de la UE

€ 6 638 882,50

Coordinado por

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Peer reviewed articles (28)

Learning‐Based Calibration of Ocean Carbon Models to Tackle Physical Forcing Uncertainties and Observation Sparsity

Autores: J. Littaye, R. Fablet, L. Memery
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 17, 2025, ISSN 1942-2466
Editor: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004775

Sub-seasonal forest carbon dynamics lose persistence under extremes

Autores: Tristan K E Williams, Álvaro Moreno Martínez, Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls
Publicado en: Environmental Research Letters, Edición 20, 2025, ISSN 1748-9326
Editor: 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

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

Early-twentieth-century cold bias in ocean surface temperature observations

Autores: 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
Publicado en: Nature, Edición 635, 2024, ISSN 1476-4687
Editor: Springer Nature
DOI: 10.5194/EGUSPHERE-EGU25-6761

Distilling Machine Learning’s Added Value: Pareto Fronts in Atmospheric Applications

Autores: Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist
Publicado en: Artificial Intelligence for the Earth Systems, Edición 4, 2025, ISSN 2769-7525
Editor: American Meteorological Society
DOI: 10.1175/AIES-D-24-0078.1

Artificial intelligence for modeling and understanding extreme weather and climate events

Autores: 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
Publicado en: Nature Communications, Edición 16, 2025, ISSN 2041-1723
Editor: 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

Autores: Elizabeth A Barnes, Noah S Diffenbaugh, Sonia I Seneviratne
Publicado en: Environmental Research Letters, Edición 20, 2025, ISSN 1748-9326
Editor: 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

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

Analyzing climate scenarios using dynamic mode decomposition with control

Autores: Nathan Mankovich, Shahine Bouabid, Peer Nowack, Deborah Bassotto, Gustau Camps-Valls
Publicado en: Environmental Data Science, Edición 4, 2025, ISSN 2634-4602
Editor: 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

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

Robustness of dynamical coupling between wintertime European weather extremes and the large-scale circulation

Autores: Ane Carina Reiter, Gabriele Messori, Davide Faranda, Morten Andreas Dahl Larsen, Martin Drews
Publicado en: Climate Dynamics, Edición 63, 2025, ISSN 0930-7575
Editor: Springer Science and Business Media LLC
DOI: 10.1007/S00382-025-07846-X

Demography, dynamics and data: building confidence for simulating changes in the world's forests

Autores: Annemarie H. Eckes‐Shephard, Arthur P. K. Argles, Bogdan Brzeziecki, Peter M. Cox, Martin G. De Kauwe, Adriane Esquivel‐Muelbert, Rosie A. Fisher, George C. Hurtt, Jürgen Knauer, Charles D. Koven
Publicado en: New Phytologist, Edición 248, 2025, ISSN 0028-646X
Editor: Wiley
DOI: 10.1111/NPH.70643

Adjoint‐Based Online Learning of Two‐Layer Quasi‐Geostrophic Baroclinic Turbulence

Autores: F. E. Yan, H. Frezat, J. Le Sommer, J. Mak, K. Otness
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 17, 2025, ISSN 1942-2466
Editor: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004857

Either Or: Interactive Articles or Videos for Climate Science Communication

Autores: J. Poehls, M. Meuschke, N. Carvalhais, K. Lawonn
Publicado en: Computer Graphics Forum, Edición 44, 2025, ISSN 0167-7055
Editor: Wiley
DOI: 10.1111/CGF.70129

Improving vertical detail in simulated temperature and humidity data using machine learning

Autores: Joana D. da Silva Rodrigues, Cyril J. Morcrette
Publicado en: Atmospheric Science Letters, Edición 26, 2025, ISSN 1530-261X
Editor: Wiley
DOI: 10.1002/ASL.1288

Record-breaking extremes in a warming climate

Autores: Fischer, Erich; Bador, Margot; Huser, Raphaël; Kendon, Elizabeth; Robinson, Alexander; Sippel, Sebastian
Publicado en: Nature Reviews Earth & Environment, Edición 6 (7), 2025, ISSN 2662-138X
Editor: 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

Autores: P. Bonnet; L. Pastori; M. Schwabe; M. Giorgetta; F. Iglesias-Suarez; V. Eyring; V. Eyring
Publicado en: Geoscientific Model Development, Edición 18 (12), 2025, ISSN 1991-9603
Editor: EGU
DOI: 10.5194/GMD-18-3681-2025

Online calibration of deep learning sub-models for hybrid numerical modeling systems

Autores: Ouala, Said; Chapron, Bertrand; Collard, Fabrice; Gaultier, Lucile; Fablet, Ronan
Publicado en: Communications Physics, Edición 7, 2024, ISSN 2399-3650
Editor: Springer Nature
DOI: 10.48550/ARXIV.2311.10665

Multiscale neural assimilation scheme for high-resolution sea surface temperature reconstruction from satellite observations

Autores: Maxime Beauchamp, Ioanna Karagali, Guisella Gacitúa, Jacob L. Høyer, Maxime Ballarotta, Ronan Fablet
Publicado en: Scientific Reports, Edición 15, 2025, ISSN 2045-2322
Editor: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-23682-9

Advanced climate model evaluation with ESMValTool v2.11.0 using parallel, out-of-core, and distributed computing.

Autores: 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.
Publicado en: Geoscientific Model Development, Edición 18, 2025, ISSN 1991-9603
Editor: EGU
DOI: 10.5194/GMD-2024-236

Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization

Autores: Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 16, 2025, ISSN 1942-2466
Editor: 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

Autores: T. Wilder, T. Kuhlbrodt
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 17, 2025, ISSN 1942-2466
Editor: American Geophysical Union (AGU)
DOI: 10.1029/2025MS004950

Estimating Information Theoretic Measures via Multidimensional Gaussianization

Autores: Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
Publicado en: IEEE Transactions on Pattern Analysis and Machine Intelligence, Edición 47, 2025, ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TPAMI.2024.3495827

The impact of aerosol forcing on the statistical attribution of heatwaves

Autores: Florian Kraulich, Peter Pfleiderer, Sebastian Sippel
Publicado en: Weather and Climate Extremes, Edición 50, 2025, ISSN 2212-0947
Editor: Elsevier BV
DOI: 10.1016/J.WACE.2025.100803

Calibration and uncertainty quantification for deep learning-based drought detection

Autores: Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
Publicado en: International Journal of Applied Earth Observation and Geoinformation, Edición 140, 2025, ISSN 1569-8432
Editor: 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

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

Flash drought impacts on global ecosystems amplified by extreme heat

Autores: Lei Gu; Dominik L. Schumacher; Erich M. Fischer; Louise J. Slater; Jiabo Yin; Sebastian Sippel; Jie Chen; Pan Liu; Reto Knutti
Publicado en: Nature Geoscience, Edición 18, 2025, ISSN 1752-0908
Editor: Springer Nature
DOI: 10.3929/ETHZ-B-000739383

Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors

Autores: Beauchamp, Maxime; Fablet, Ronan; Benaichouche, Simon; Tandeo, Pierre; Desassis, Nicolas; Chapron, Bertrand
Publicado en: Artificial Intelligence for the Earth Systems, Edición 4 (3), 2025, ISSN 2769-7525
Editor: American Meteorological Society
DOI: 10.48550/ARXIV.2402.01855

Thesis and dissertations (1)

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

Autores: Granberg, A., & Lundholm, V.
Publicado en: 2025
Editor: DiVA, Linköping University

Conference proceedings (2)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations

Autores: Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring
Publicado en: 2024 International Conference on Machine Learning and Applications (ICMLA), 2025
Editor: IEEE
DOI: 10.1109/ICMLA61862.2024.00044

Learning Granger Causal Feature Representations

Autores: Varando, Gherardo and Fernández-Torres, Miguel-Ángel and Camps-Valls, Gustau
Publicado en: Climate Change AI, 2021
Editor: Climate Change AI