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

Informazioni relative al progetto

AI4PEX

ID dell’accordo di sovvenzione: 101137682

DOI

10.3030/101137682

Data della firma CE 24 Ottobre 2023

Data di avvio 1 Aprile 2024

Data di completamento 31 Marzo 2028

Finanziato da

• Climate, Energy and Mobility

Costo totale

Nessun dato

Contributo UE

€ 6 638 882,50

Coordinato da

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Pubblicazioni

Peer reviewed articles (28)

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

Autori: J. Littaye, R. Fablet, L. Memery
Pubblicato in: Journal of Advances in Modeling Earth Systems, Numero 17, 2025, ISSN 1942-2466
Editore: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004775

Sub-seasonal forest carbon dynamics lose persistence under extremes

Autori: Tristan K E Williams, Álvaro Moreno Martínez, Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls
Pubblicato in: Environmental Research Letters, Numero 20, 2025, ISSN 1748-9326
Editore: 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

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

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

Autori: 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
Pubblicato in: Nature, Numero 635, 2024, ISSN 1476-4687
Editore: Springer Nature
DOI: 10.5194/EGUSPHERE-EGU25-6761

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

Autori: Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist
Pubblicato in: Artificial Intelligence for the Earth Systems, Numero 4, 2025, ISSN 2769-7525
Editore: American Meteorological Society
DOI: 10.1175/AIES-D-24-0078.1

Artificial intelligence for modeling and understanding extreme weather and climate events

Autori: 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
Pubblicato in: Nature Communications, Numero 16, 2025, ISSN 2041-1723
Editore: 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

Autori: Elizabeth A Barnes, Noah S Diffenbaugh, Sonia I Seneviratne
Pubblicato in: Environmental Research Letters, Numero 20, 2025, ISSN 1748-9326
Editore: 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

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

Analyzing climate scenarios using dynamic mode decomposition with control

Autori: Nathan Mankovich, Shahine Bouabid, Peer Nowack, Deborah Bassotto, Gustau Camps-Valls
Pubblicato in: Environmental Data Science, Numero 4, 2025, ISSN 2634-4602
Editore: 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

Autori: Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, ISSN 0162-8828
Editore: 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

Autori: Ane Carina Reiter, Gabriele Messori, Davide Faranda, Morten Andreas Dahl Larsen, Martin Drews
Pubblicato in: Climate Dynamics, Numero 63, 2025, ISSN 0930-7575
Editore: 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

Autori: 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
Pubblicato in: New Phytologist, Numero 248, 2025, ISSN 0028-646X
Editore: Wiley
DOI: 10.1111/NPH.70643

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

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

Either Or: Interactive Articles or Videos for Climate Science Communication

Autori: J. Poehls, M. Meuschke, N. Carvalhais, K. Lawonn
Pubblicato in: Computer Graphics Forum, Numero 44, 2025, ISSN 0167-7055
Editore: Wiley
DOI: 10.1111/CGF.70129

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

Autori: Joana D. da Silva Rodrigues, Cyril J. Morcrette
Pubblicato in: Atmospheric Science Letters, Numero 26, 2025, ISSN 1530-261X
Editore: Wiley
DOI: 10.1002/ASL.1288

Record-breaking extremes in a warming climate

Autori: Fischer, Erich; Bador, Margot; Huser, Raphaël; Kendon, Elizabeth; Robinson, Alexander; Sippel, Sebastian
Pubblicato in: Nature Reviews Earth & Environment, Numero 6 (7), 2025, ISSN 2662-138X
Editore: 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

Autori: P. Bonnet; L. Pastori; M. Schwabe; M. Giorgetta; F. Iglesias-Suarez; V. Eyring; V. Eyring
Pubblicato in: Geoscientific Model Development, Numero 18 (12), 2025, ISSN 1991-9603
Editore: EGU
DOI: 10.5194/GMD-18-3681-2025

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

Autori: Ouala, Said; Chapron, Bertrand; Collard, Fabrice; Gaultier, Lucile; Fablet, Ronan
Pubblicato in: Communications Physics, Numero 7, 2024, ISSN 2399-3650
Editore: Springer Nature
DOI: 10.48550/ARXIV.2311.10665

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

Autori: Maxime Beauchamp, Ioanna Karagali, Guisella Gacitúa, Jacob L. Høyer, Maxime Ballarotta, Ronan Fablet
Pubblicato in: Scientific Reports, Numero 15, 2025, ISSN 2045-2322
Editore: 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.

Autori: 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.
Pubblicato in: Geoscientific Model Development, Numero 18, 2025, ISSN 1991-9603
Editore: EGU
DOI: 10.5194/GMD-2024-236

Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization

Autori: Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider
Pubblicato in: Journal of Advances in Modeling Earth Systems, Numero 16, 2025, ISSN 1942-2466
Editore: 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

Autori: T. Wilder, T. Kuhlbrodt
Pubblicato in: Journal of Advances in Modeling Earth Systems, Numero 17, 2025, ISSN 1942-2466
Editore: American Geophysical Union (AGU)
DOI: 10.1029/2025MS004950

Estimating Information Theoretic Measures via Multidimensional Gaussianization

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

The impact of aerosol forcing on the statistical attribution of heatwaves

Autori: Florian Kraulich, Peter Pfleiderer, Sebastian Sippel
Pubblicato in: Weather and Climate Extremes, Numero 50, 2025, ISSN 2212-0947
Editore: Elsevier BV
DOI: 10.1016/J.WACE.2025.100803

Calibration and uncertainty quantification for deep learning-based drought detection

Autori: Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
Pubblicato in: International Journal of Applied Earth Observation and Geoinformation, Numero 140, 2025, ISSN 1569-8432
Editore: 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

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

Flash drought impacts on global ecosystems amplified by extreme heat

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

Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors

Autori: Beauchamp, Maxime; Fablet, Ronan; Benaichouche, Simon; Tandeo, Pierre; Desassis, Nicolas; Chapron, Bertrand
Pubblicato in: Artificial Intelligence for the Earth Systems, Numero 4 (3), 2025, ISSN 2769-7525
Editore: 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

Autori: Granberg, A., & Lundholm, V.
Pubblicato in: 2025
Editore: DiVA, Linköping University

Conference proceedings (2)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations

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

Learning Granger Causal Feature Representations

Autori: Varando, Gherardo and Fernández-Torres, Miguel-Ángel and Camps-Valls, Gustau
Pubblicato in: Climate Change AI, 2021
Editore: Climate Change AI