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

Informations projet

AI4PEX

N° de convention de subvention: 101137682

DOI

10.3030/101137682

Date de signature de la CE 24 Octobre 2023

Date de début 1 Avril 2024

Date de fin 31 Mars 2028

Financé au titre de

• Climate, Energy and Mobility

Coût total

Aucune donnée

Contribution de l’UE

€ 7 135 788,75

Coordonné par

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
Germany

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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.

Publications

Peer reviewed articles (46)

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

Auteurs: J. Littaye, R. Fablet, L. Memery
Publié dans: Journal of Advances in Modeling Earth Systems, Numéro 17, 2025, ISSN 1942-2466
Éditeur: American Geophysical Union (AGU)
DOI: 10.1029/2024MS004775

Sub-seasonal forest carbon dynamics lose persistence under extremes

Auteurs: Tristan K E Williams, Álvaro Moreno Martínez, Francesco Martinuzzi, Miguel D Mahecha, Gustau Camps-Valls
Publié dans: Environmental Research Letters, Numéro 20, 2025, ISSN 1748-9326
Éditeur: 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

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

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

Auteurs: 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
Publié dans: Nature, Numéro 635, 2024, ISSN 1476-4687
Éditeur: Springer Nature
DOI: 10.5194/EGUSPHERE-EGU25-6761

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

Auteurs: Tom Beucler, Arthur Grundner, Sara Shamekh, Peter Ukkonen, Matthew Chantry, Ryan Lagerquist
Publié dans: Artificial Intelligence for the Earth Systems, Numéro 4, 2025, ISSN 2769-7525
Éditeur: American Meteorological Society
DOI: 10.1175/AIES-D-24-0078.1

Artificial intelligence for modeling and understanding extreme weather and climate events

Auteurs: 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
Publié dans: Nature Communications, Numéro 16, 2025, ISSN 2041-1723
Éditeur: 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

Auteurs: Elizabeth A Barnes, Noah S Diffenbaugh, Sonia I Seneviratne
Publié dans: Environmental Research Letters, Numéro 20, 2025, ISSN 1748-9326
Éditeur: IOP Publishing
DOI: 10.1088/1748-9326/AD91CA

Considerable yet contrasting regional imprint of circulation change on summer temperature trends across the Northern hemisphere mid-latitudes

Auteurs: Peter Pfleiderer, Anna Merrifield, István Dunkl, Homer Durand, Enora Cariou, Julien Cattiaux, Gustau Camps-Valls, Sebastian Sippel
Publié dans: Weather and Climate Dynamics, Numéro 7, 2026, ISSN 2698-4016
Éditeur: Copernicus GmbH
DOI: 10.5194/WCD-7-89-2026

Representing subgrid-scale cloud effects in a radiation parameterization using machine learning: MLe-radiation v1.0

Auteurs: Katharina Hafner, Sara Shamekh, Guillaume Bertoli, Axel Lauer, Robert Pincus, Julien Savre, Veronika Eyring
Publié dans: Geoscientific Model Development, Numéro 19, 2026, ISSN 1991-9603
Éditeur: Copernicus GmbH
DOI: 10.5194/GMD-19-3875-2026

Approaches, challenges and applications of climate change impact attribution

Auteurs: Sabine Undorf, Asya Dimitrova, Luke J. Harrington, Gabriele C. Hegerl, Aglaé Jézéquel, Joyce Kimutai, Y. T. Eunice Lo, Matthias Mengel, Sarah Perkins-Kirkpatrick, Rosa Pietroiusti, Izidine Pinto, Andrew Schurer, Paolo Scussolini, Sebastian Sippel, Dáithí Stone, Rupert Stuart-Smith, Lukas Gudmundsson, Veronika Huber, Felipe J. Colón-González, Simon Dellicour, Diana Erazo, Erich Fischer, Katja Frieler, Christoph Gornott, Ed Hawkins, Petra Holden, Gerbrand Koren, Seppe Lampe, Dann Mitchell, Lisa Murken, Mark New, Albert Nkwasa, Sonia I. Seneviratne, Michael Wehner, Wim Thiery
Publié dans: Nature Reviews Earth & Environment, 2026, ISSN 2662-138X
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S43017-026-00798-8

Hybrid‐Modeling of Land‐Atmosphere Fluxes Using Integrated Machine Learning in the ICON‐ESM Modeling Framework

Auteurs: Reda ElGhawi, Christian Reimers, Reiner Schnur, Markus Reichstein, Marco Körner, Nuno Carvalhais, Alexander J. Winkler
Publié dans: Journal of Advances in Modeling Earth Systems, Numéro 17, 2025, ISSN 1942-2466
Éditeur: American Geophysical Union (AGU)
DOI: 10.1029/2025MS005102

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties With Deep Learning Multi‐Member and Stochastic Parameterizations

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

Modeling Uncertainty With Engression: A Deep Generative Time‐Series Approach

Auteurs: Basil Kraft, Steven Stalder, William H. Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson
Publié dans: Geophysical Research Letters, Numéro 53, 2026, ISSN 0094-8276
Éditeur: American Geophysical Union (AGU)
DOI: 10.1029/2025GL120122

Analyzing climate scenarios using dynamic mode decomposition with control

Auteurs: Nathan Mankovich, Shahine Bouabid, Peer Nowack, Deborah Bassotto, Gustau Camps-Valls
Publié dans: Environmental Data Science, Numéro 4, 2025, ISSN 2634-4602
Éditeur: 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

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

Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP)

Auteurs: Robert C. J. Wills, Clara Deser, Karen A. McKinnon, Adam Phillips, Stephen Po-Chedley, Sebastian Sippel, Anna L. Merrifield, Constantin Bône, Céline Bonfils, Gustau Camps-Valls, Stephen Cropper, Charlotte Connolly, Shiheng Duan, Homer Durand, Alexander Feigin, M. A. Fernandez, Guillaume Gastineau, Andrei Gavrilov, Emily Gordon, Moritz Günther, Maren Höver, Sergey Kravtsov, Yan-Ning Kuo, Justin Lien, Gavin D. Madakumbura, Nathan Mankovich, Matthew Newman, Jamin Rader, Jia-Rui Shi, Sang-Ik Shin, Gherardo Varando
Publié dans: Journal of Climate, Numéro 39, 2026, ISSN 0894-8755
Éditeur: American Meteorological Society
DOI: 10.1175/JCLI-D-25-0326.1

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

Auteurs: Ane Carina Reiter, Gabriele Messori, Davide Faranda, Morten Andreas Dahl Larsen, Martin Drews
Publié dans: Climate Dynamics, Numéro 63, 2025, ISSN 0930-7575
Éditeur: 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

Auteurs: 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
Publié dans: New Phytologist, Numéro 248, 2025, ISSN 0028-646X
Éditeur: Wiley
DOI: 10.1111/NPH.70643

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

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

Pan‐European High‐Resolution Downscaling Using Deep Learning

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

Combination of Internal Variability and Forced Response Reconciles Observed 2023-2024 Warming

Auteurs: G. Gyuleva; R. Knutti; S. Sippel
Publié dans: Geophysical Research Letters, Numéro 52 (14), 2025, ISSN 1944-8007
Éditeur: AGU
DOI: 10.1029/2025GL115270

Global Carbon Budget 2025

Auteurs: Pierre Friedlingstein, Michael O'Sullivan, Matthew W. Jones, Robbie M. Andrew, Dorothee C. E. Bakker, Judith Hauck, Peter Landschützer, Corinne Le Quéré, Hongmei Li, Ingrid T. Luijkx, Glen P. Peters, Wouter Peters, Julia Pongratz, Clemens Schwingshackl, Stephen Sitch, Josep G. Canadell, Philippe Ciais, Kjetil Aas, Simone R. Alin, Peter Anthoni, Leticia Barbero, Nicholas R. Bates, Nicolas Bellouin, Alice Benoit-Cattin, Carla F. Berghoff, Raffaele Bernardello, Laurent Bopp, Ida Bagus Mandhara Brasika, Matthew A. Chamberlain, Naveen Chandra, Frédéric Chevallier, Louise P. Chini, Nathan O. Collier, Thomas H. Colligan, Margot Cronin, Laique M. Djeutchouang, Xinyu Dou, Matt P. Enright, Kazutaka Enyo, Michael Erb, Wiley Evans, Richard A. Feely, Liang Feng, Daniel J. Ford, Adrianna Foster, Filippa Fransner, Thomas Gasser, Marion Gehlen, Thanos Gkritzalis, Jefferson Goncalves De Souza, Giacomo Grassi, Luke Gregor, Nicolas Gruber, Bertrand Guenet, Özgür Gürses, Kirsty Harrington, Ian Harris, Jens Heinke, George C. Hurtt, Yosuke Iida, Tatiana Ilyina, Akihiko Ito, Andrew R. Jacobson, Atul K. Jain, Tereza Jarníková, Annika Jersild, Fei Jiang, Steve D. Jones, Etsushi Kato, Ralph F. Keeling, Kees Klein Goldewijk, Jürgen Knauer, Yawen Kong, Jan Ivar Korsbakken, Charles Koven, Taro Kunimitsu, Xin Lan, Junjie Liu, Zhiqiang Liu, Zhu Liu, Claire Lo Monaco, Lei Ma, Gregg Marland, Patrick C. McGuire, Galen A. McKinley, Joe R. Melton, Natalie Monacci, Erwan Monier, Eric J. Morgan, David R. Munro, Jens D. Müller, Shin-Ichiro Nakaoka, Lorna R. Nayagam, Yosuke Niwa, Tobias Nutzel, Are Olsen, Abdirahman M. Omar, Naiqing Pan, Sudhanshu Pandey, Denis Pierrot, Zhangcai Qin, Pierre Regnier, Gregor Rehder, Laure Resplandy, Alizée Roobaert, Thais M. Rosan, Christian Rödenbeck, Jörg Schwinger, Ingunn Skjelvan, T. Luke Smallman, Victoria Spada, Mohanan G. Sreeush, Qing Sun, Adrienne J. Sutton, Colm Sweeney, Didier Swingedouw, Roland Séférian, Shintaro Takao, Hiroaki Tatebe, Hanqin Tian, Xiangjun Tian, Bronte Tilbrook, Hiroyuki Tsujino, Francesco Tubiello, Erik van Ooijen, Guido R. van der Werf, Sebastiaan J. van de Velde, Anthony P. Walker, Rik Wanninkhof, Xiaojuan Yang, Wenping Yuan, Xu Yue, Jiye Zeng
Publié dans: Earth System Science Data, Numéro 18, 2026, ISSN 1866-3516
Éditeur: Copernicus GmbH
DOI: 10.5194/ESSD-18-3211-2026

Uncertain dynamic response of mid-latitude winter precipitation

Auteurs: Lei Gu, Dominik L. Schumacher, Sebastian Sippel, Erich M. Fischer, Istvan Dunkl, Robin Noyelle, Jitendra Singh, Lorenzo Pierini, Reto Knutti
Publié dans: Nature, Numéro 653, 2026, ISSN 0028-0836
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41586-026-10474-Y

Machine learning of vertical fluxes by unresolved midlatitude mesoscale processes

Auteurs: Erisa Ismaili, Robert C Jnglin Wills, Tom Beucler
Publié dans: Machine Learning: Earth, Numéro 2, 2026, ISSN 3049-4753
Éditeur: IOP Publishing
DOI: 10.1088/3049-4753/AE611B

Either Or: Interactive Articles or Videos for Climate Science Communication

Auteurs: J. Poehls, M. Meuschke, N. Carvalhais, K. Lawonn
Publié dans: Computer Graphics Forum, Numéro 44, 2025, ISSN 0167-7055
Éditeur: Wiley
DOI: 10.1111/CGF.70129

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

Auteurs: Joana D. da Silva Rodrigues, Cyril J. Morcrette
Publié dans: Atmospheric Science Letters, Numéro 26, 2025, ISSN 1530-261X
Éditeur: Wiley
DOI: 10.1002/ASL.1288

Record-breaking extremes in a warming climate

Auteurs: Fischer, Erich; Bador, Margot; Huser, Raphaël; Kendon, Elizabeth; Robinson, Alexander; Sippel, Sebastian
Publié dans: Nature Reviews Earth & Environment, Numéro 6 (7), 2025, ISSN 2662-138X
Éditeur: 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

Auteurs: P. Bonnet; L. Pastori; M. Schwabe; M. Giorgetta; F. Iglesias-Suarez; V. Eyring; V. Eyring
Publié dans: Geoscientific Model Development, Numéro 18 (12), 2025, ISSN 1991-9603
Éditeur: EGU
DOI: 10.5194/GMD-18-3681-2025

Crowdsourcing the Frontier: Advancing Hybrid Physics‐ML Climate Simulation via a $50,000 Kaggle Competition

Auteurs: Jerry Lin, Zeyuan Hu, Tom Beucler, Katherine Frields, Hannah Christensen, Walter Hannah, Helge Heuer, Peter Ukkonen, Laura A. Mansfield, Tian Zheng, Liran Peng, Ritwik Gupta, Pierre Gentine, Yusef Al‐Naher, Mingjiang Duan, Kyo Hattori, Weiliang Ji, Chunhan Li, Kippei Matsuda, Naoki Murakami, Shlomo Ron, Marec Serlin, Hongjian Song, Yuma Tanabe, Daisuke Yamamoto, Jianyao Zhou, Mike Pritchard
Publié dans: Journal of Advances in Modeling Earth Systems, Numéro 18, 2026, ISSN 1942-2466
Éditeur: American Geophysical Union (AGU)
DOI: 10.1029/2025MS005643

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

Auteurs: Ouala, Said; Chapron, Bertrand; Collard, Fabrice; Gaultier, Lucile; Fablet, Ronan
Publié dans: Communications Physics, Numéro 7, 2024, ISSN 2399-3650
Éditeur: Springer Nature
DOI: 10.48550/ARXIV.2311.10665

Symbolic Regression for Physics-Aware Emulation

Auteurs: Jorge Vicent Servera, Alexander A. Kokhanovsky, Gherardo Varando, Luca Martino, Gustau Camps-Valls
Publié dans: IEEE Transactions on Geoscience and Remote Sensing, Numéro 64, 2026, ISSN 0196-2892
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/TGRS.2026.3676858

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

Auteurs: Maxime Beauchamp, Ioanna Karagali, Guisella Gacitúa, Jacob L. Høyer, Maxime Ballarotta, Ronan Fablet
Publié dans: Scientific Reports, Numéro 15, 2025, ISSN 2045-2322
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41598-025-23682-9

Setting the Standard: Recommended Practices for Data Preprocessing in Data-Driven Climate Prediction

Auteurs: Jason C. Furtado, Maria J. Molina, Marybeth C. Arcodia, Weston Anderson, Tom Beucler, John A. Callahan, Laura M. Ciasto, Vittorio A. Gensini, Michelle L’Heureux, Kathleen Pegion, Jhayron S. Pérez-Carrasquilla, Maike Sonnewald, Ken Takahashi, Baoqiang Xiang, Brian G. Zimmerman
Publié dans: Bulletin of the American Meteorological Society, Numéro 107, 2026, ISSN 0003-0007
Éditeur: American Meteorological Society
DOI: 10.1175/BAMS-D-24-0292.1

Leveraging remote sensing and crowd-sourced biodiversity data for enhanced plant functional trait mapping

Auteurs: Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Jose E. Adsuara, Benjamin Dechant, Jens Kattge, Teja Kattenborn, Francesco Maria Sabatini, Fabian D. Schneider, Gregory Duveiller, Peter M. van Bodegom, Ethan E. Butler, Miguel D. Mahecha, Emma Izquierdo-Verdiguier, Josep Peñuelas, Gerhard Boenisch, Ryan Pavlick, Philip A. Townsend, Nuno Carvalhais, Daniel Lusk, Gustau Camps-Valls
Publié dans: Nature Communications, Numéro 17, 2026, ISSN 2041-1723
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/S41467-026-72111-6

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

Auteurs: 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.
Publié dans: Geoscientific Model Development, Numéro 18, 2025, ISSN 1991-9603
Éditeur: EGU
DOI: 10.5194/GMD-2024-236

Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization

Auteurs: Costa Christopoulos, Ignacio Lopez‐Gomez, Tom Beucler, Yair Cohen, Charles Kawczynski, Oliver R. A. Dunbar, Tapio Schneider
Publié dans: Journal of Advances in Modeling Earth Systems, Numéro 16, 2024, ISSN 1942-2466
Éditeur: 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

Auteurs: T. Wilder, T. Kuhlbrodt
Publié dans: Journal of Advances in Modeling Earth Systems, Numéro 17, 2025, ISSN 1942-2466
Éditeur: American Geophysical Union (AGU)
DOI: 10.1029/2025MS004950

Estimating Information Theoretic Measures via Multidimensional Gaussianization

Auteurs: Valero Laparra, Juan Emmanuel Johnson, Gustau Camps-Valls, Raúl Santos-Rodríguez, Jesús Malo
Publié dans: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numéro 47, 2025, ISSN 0162-8828
Éditeur: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.48550/ARXIV.2010.03807

Improved air-sea CO ₂ flux estimates from sailboat measurements

Auteurs: Jacqueline Behncke, Tatiana Ilyina, Fatemeh Chegini, Peter Landschützer
Publié dans: Science Advances, Numéro 12, 2026, ISSN 2375-2548
Éditeur: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/SCIADV.ADZ1502

The impact of aerosol forcing on the statistical attribution of heatwaves

Auteurs: Florian Kraulich, Peter Pfleiderer, Sebastian Sippel
Publié dans: Weather and Climate Extremes, Numéro 50, 2025, ISSN 2212-0947
Éditeur: Elsevier BV
DOI: 10.1016/J.WACE.2025.100803

On the added value of sequential deep learning for the upscaling of evapotranspiration

Auteurs: Basil Kraft, Jacob A. Nelson, Sophia Walther, Fabian Gans, Ulrich Weber, Gregory Duveiller, Markus Reichstein, Weijie Zhang, Marc Rußwurm, Devis Tuia, Marco Körner, Zayd Hamdi, Martin Jung
Publié dans: Biogeosciences, Numéro 22, 2025, ISSN 1726-4189
Éditeur: Copernicus GmbH
DOI: 10.5194/BG-22-3965-2025

Calibration and uncertainty quantification for deep learning-based drought detection

Auteurs: Mengxue Zhang, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Gustau Camps-Valls
Publié dans: International Journal of Applied Earth Observation and Geoinformation, Numéro 140, 2025, ISSN 1569-8432
Éditeur: 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

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

Flash drought impacts on global ecosystems amplified by extreme heat

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

Neural Variational Data Assimilation with Uncertainty Quantification Using SPDE Priors

Auteurs: Beauchamp, Maxime; Fablet, Ronan; Benaichouche, Simon; Tandeo, Pierre; Desassis, Nicolas; Chapron, Bertrand
Publié dans: Artificial Intelligence for the Earth Systems, Numéro 4 (3), 2025, ISSN 2769-7525
Éditeur: American Meteorological Society
DOI: 10.48550/ARXIV.2402.01855

Multimodel Reconstructions and Predictions of the CO2 Fluxes and Atmospheric CO2 Variations

Auteurs: Hongmei Li, Tatiana Ilyina, István Dunkl, Sebastian Brune, Wolfgang A. Müller, Raffaele Bernardello, Ingo Bethke, Laurent Bopp, Filippa Fransner, Pierre Friedlingstein, Vladimir Lapin, William J. Merryfield, Juliette Mignot, Michael O’Sullivan, Reinel Sospedra-Alfonso, Didier Swingedouw, Hiroaki Tatebe, Jerry Tjiputra, Olivier Torres, Etienne Tourigny
Publié dans: Bulletin of the American Meteorological Society, Numéro 107, 2026, ISSN 0003-0007
Éditeur: American Meteorological Society
DOI: 10.1175/BAMS-D-25-0139.1

Book chapters (1)

High-resolution biophysical parameter estimation at scale with uncertainties

Auteurs: Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, Francisco Javier García-Haro, Gustau Camps-Valls
Publié dans: Carbon Fluxes and Biophysical Variables from Earth Observation, 2025, ISBN 978-0-443-29991-9
Éditeur: Elsevier
DOI: 10.1016/B978-0-443-29991-9.00002-1

Thesis and dissertations (1)

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

Auteurs: Granberg, A., & Lundholm, V.
Publié dans: 2025
Éditeur: DiVA, Linköping University

Conference proceedings (1)

Towards Physically Consistent Deep Learning For Climate Model Parameterizations

Auteurs: Birgit Kühbacher, Fernando Iglesias-Suarez, Niki Kilbertus, Veronika Eyring
Publié dans: 2024 International Conference on Machine Learning and Applications (ICMLA), 2025
Éditeur: IEEE
DOI: 10.48550/ARXIV.2406.03920