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

Informacje na temat projektu

AI4PEX

Identyfikator umowy o grant: 101137682

DOI

10.3030/101137682

Data podpisania przez KE 24 Października 2023

Data rozpoczęcia 1 Kwietnia 2024

Data zakończenia 31 Marca 2028

Finansowanie w ramach

• Climate, Energy and Mobility

Koszt całkowity

Brak danych

Wkład UE

€ 6 638 882,50

Koordynowany przez

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

Documents, reports (1)

Dissemination, Exploitation and Communication Plan – first version

Report documenting the preliminary plan for the dissemination, exploitation and communication activities in AI4PEX developed during T7.1.

Publikacje

Peer reviewed articles (29)

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

Autorzy: J. Littaye, R. Fablet, L. Memery
Opublikowane w: Journal of Advances in Modeling Earth Systems, Numer 17, 2025, ISSN 1942-2466
Wydawca: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004775

Sub-seasonal forest carbon dynamics lose persistence under extremes

Autorzy: Tristan K E Williams, Álvaro Moreno Martínez, Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls
Opublikowane w: Environmental Research Letters, Numer 20, 2025, ISSN 1748-9326
Wydawca: 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

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

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

Autorzy: 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
Opublikowane w: Nature, Numer 635, 2024, ISSN 1476-4687
Wydawca: Springer Nature
DOI: 10.5194/EGUSPHERE-EGU25-6761

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

Autorzy: Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist
Opublikowane w: Artificial Intelligence for the Earth Systems, Numer 4, 2025, ISSN 2769-7525
Wydawca: American Meteorological Society
DOI: 10.1175/AIES-D-24-0078.1

Artificial intelligence for modeling and understanding extreme weather and climate events

Autorzy: 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
Opublikowane w: Nature Communications, Numer 16, 2025, ISSN 2041-1723
Wydawca: 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

Autorzy: Elizabeth A Barnes, Noah S Diffenbaugh, Sonia I Seneviratne
Opublikowane w: Environmental Research Letters, Numer 20, 2025, ISSN 1748-9326
Wydawca: 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

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

Analyzing climate scenarios using dynamic mode decomposition with control

Autorzy: Nathan Mankovich, Shahine Bouabid, Peer Nowack, Deborah Bassotto, Gustau Camps-Valls
Opublikowane w: Environmental Data Science, Numer 4, 2025, ISSN 2634-4602
Wydawca: 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

Autorzy: Said Ouala, Laurent Debreu, Bertrand Chapron, Fabrice Collard, Lucile Gaultier, Ronan Fablet
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, ISSN 0162-8828
Wydawca: 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

Autorzy: Ane Carina Reiter, Gabriele Messori, Davide Faranda, Morten Andreas Dahl Larsen, Martin Drews
Opublikowane w: Climate Dynamics, Numer 63, 2025, ISSN 0930-7575
Wydawca: 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

Autorzy: 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
Opublikowane w: New Phytologist, Numer 248, 2025, ISSN 0028-646X
Wydawca: Wiley
DOI: 10.1111/NPH.70643

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

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

Pan‐European High‐Resolution Downscaling Using Deep Learning

Autorzy: Ramón Fuentes–Franco, Kristofer Krus, Mikhail Ivanov, Torben Koenigk, Fuxing Wang, Aitor Aldama‐Campino
Opublikowane w: Journal of Geophysical Research: Machine Learning and Computation, Numer 2, 2025, ISSN 2993-5210
Wydawca: American Geophysical Union (AGU)
DOI: 10.1029/2025JH000630

Either Or: Interactive Articles or Videos for Climate Science Communication

Autorzy: J. Poehls, M. Meuschke, N. Carvalhais, K. Lawonn
Opublikowane w: Computer Graphics Forum, Numer 44, 2025, ISSN 0167-7055
Wydawca: Wiley
DOI: 10.1111/CGF.70129

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

Autorzy: Joana D. da Silva Rodrigues, Cyril J. Morcrette
Opublikowane w: Atmospheric Science Letters, Numer 26, 2025, ISSN 1530-261X
Wydawca: Wiley
DOI: 10.1002/ASL.1288

Record-breaking extremes in a warming climate

Autorzy: Fischer, Erich; Bador, Margot; Huser, Raphaël; Kendon, Elizabeth; Robinson, Alexander; Sippel, Sebastian
Opublikowane w: Nature Reviews Earth & Environment, Numer 6 (7), 2025, ISSN 2662-138X
Wydawca: 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

Autorzy: P. Bonnet; L. Pastori; M. Schwabe; M. Giorgetta; F. Iglesias-Suarez; V. Eyring; V. Eyring
Opublikowane w: Geoscientific Model Development, Numer 18 (12), 2025, ISSN 1991-9603
Wydawca: EGU
DOI: 10.5194/GMD-18-3681-2025

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

Autorzy: Ouala, Said; Chapron, Bertrand; Collard, Fabrice; Gaultier, Lucile; Fablet, Ronan
Opublikowane w: Communications Physics, Numer 7, 2024, ISSN 2399-3650
Wydawca: Springer Nature
DOI: 10.48550/ARXIV.2311.10665

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

Autorzy: Maxime Beauchamp, Ioanna Karagali, Guisella Gacitúa, Jacob L. Høyer, Maxime Ballarotta, Ronan Fablet
Opublikowane w: Scientific Reports, Numer 15, 2025, ISSN 2045-2322
Wydawca: 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.

Autorzy: 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.
Opublikowane w: Geoscientific Model Development, Numer 18, 2025, ISSN 1991-9603
Wydawca: EGU
DOI: 10.5194/GMD-2024-236

Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization

Autorzy: Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider
Opublikowane w: Journal of Advances in Modeling Earth Systems, Numer 16, 2025, ISSN 1942-2466
Wydawca: 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

Autorzy: T. Wilder, T. Kuhlbrodt
Opublikowane w: Journal of Advances in Modeling Earth Systems, Numer 17, 2025, ISSN 1942-2466
Wydawca: American Geophysical Union (AGU)
DOI: 10.1029/2025MS004950

Estimating Information Theoretic Measures via Multidimensional Gaussianization

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

The impact of aerosol forcing on the statistical attribution of heatwaves

Autorzy: Florian Kraulich, Peter Pfleiderer, Sebastian Sippel
Opublikowane w: Weather and Climate Extremes, Numer 50, 2025, ISSN 2212-0947
Wydawca: Elsevier BV
DOI: 10.1016/J.WACE.2025.100803

Calibration and uncertainty quantification for deep learning-based drought detection

Autorzy: Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
Opublikowane w: International Journal of Applied Earth Observation and Geoinformation, Numer 140, 2025, ISSN 1569-8432
Wydawca: 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

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

Flash drought impacts on global ecosystems amplified by extreme heat

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

Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors

Autorzy: Beauchamp, Maxime; Fablet, Ronan; Benaichouche, Simon; Tandeo, Pierre; Desassis, Nicolas; Chapron, Bertrand
Opublikowane w: Artificial Intelligence for the Earth Systems, Numer 4 (3), 2025, ISSN 2769-7525
Wydawca: 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

Autorzy: Granberg, A., & Lundholm, V.
Opublikowane w: 2025
Wydawca: DiVA, Linköping University

Conference proceedings (1)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations

Autorzy: Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring
Opublikowane w: 2024 International Conference on Machine Learning and Applications (ICMLA), 2025
Wydawca: IEEE
DOI: 10.1109/ICMLA61862.2024.00044