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

€ 7 135 788,75

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 .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (46)

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

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

Autori: Peter Pfleiderer, Anna Merrifield, István Dunkl, Homer Durand, Enora Cariou, Julien Cattiaux, Gustau Camps-Valls, Sebastian Sippel
Pubblicato in: Weather and Climate Dynamics, Numero 7, 2026, ISSN 2698-4016
Editore: 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

Autori: Katharina Hafner, Sara Shamekh, Guillaume Bertoli, Axel Lauer, Robert Pincus, Julien Savre, Veronika Eyring
Pubblicato in: Geoscientific Model Development, Numero 19, 2026, ISSN 1991-9603
Editore: Copernicus GmbH
DOI: 10.5194/GMD-19-3875-2026

Approaches, challenges and applications of climate change impact attribution

Autori: 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
Pubblicato in: Nature Reviews Earth & Environment, 2026, ISSN 2662-138X
Editore: 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

Autori: Reda ElGhawi, Christian Reimers, Reiner Schnur, Markus Reichstein, Marco Körner, Nuno Carvalhais, Alexander J. Winkler
Pubblicato in: Journal of Advances in Modeling Earth Systems, Numero 17, 2025, ISSN 1942-2466
Editore: 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

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

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

Autori: Basil Kraft, Steven Stalder, William H. Aeberhard, Nicolás Harrington Ruiz, Nicolai Meinshausen, Xinwei Shen, Lukas Gudmundsson
Pubblicato in: Geophysical Research Letters, Numero 53, 2026, ISSN 0094-8276
Editore: American Geophysical Union (AGU)
DOI: 10.1029/2025GL120122

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

Forced Component Estimation Statistical Method Intercomparison Project (ForceSMIP)

Autori: 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
Pubblicato in: Journal of Climate, Numero 39, 2026, ISSN 0894-8755
Editore: 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

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

Pan‐European High‐Resolution Downscaling Using Deep Learning

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

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

Autori: G. Gyuleva; R. Knutti; S. Sippel
Pubblicato in: Geophysical Research Letters, Numero 52 (14), 2025, ISSN 1944-8007
Editore: AGU
DOI: 10.1029/2025GL115270

Global Carbon Budget 2025

Autori: 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
Pubblicato in: Earth System Science Data, Numero 18, 2026, ISSN 1866-3516
Editore: Copernicus GmbH
DOI: 10.5194/ESSD-18-3211-2026

Uncertain dynamic response of mid-latitude winter precipitation

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

Machine learning of vertical fluxes by unresolved midlatitude mesoscale processes

Autori: Erisa Ismaili, Robert C Jnglin Wills, Tom Beucler
Pubblicato in: Machine Learning: Earth, Numero 2, 2026, ISSN 3049-4753
Editore: IOP Publishing
DOI: 10.1088/3049-4753/AE611B

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

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

Autori: 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
Pubblicato in: Journal of Advances in Modeling Earth Systems, Numero 18, 2026, ISSN 1942-2466
Editore: American Geophysical Union (AGU)
DOI: 10.1029/2025MS005643

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

Symbolic Regression for Physics-Aware Emulation

Autori: Jorge Vicent Servera, Alexander A. Kokhanovsky, Gherardo Varando, Luca Martino, Gustau Camps-Valls
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, Numero 64, 2026, ISSN 0196-2892
Editore: 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

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

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

Autori: 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
Pubblicato in: Bulletin of the American Meteorological Society, Numero 107, 2026, ISSN 0003-0007
Editore: 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

Autori: 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
Pubblicato in: Nature Communications, Numero 17, 2026, ISSN 2041-1723
Editore: 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.

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, 2024, 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: 10.48550/ARXIV.2010.03807

Improved air-sea CO ₂ flux estimates from sailboat measurements

Autori: Jacqueline Behncke, Tatiana Ilyina, Fatemeh Chegini, Peter Landschützer
Pubblicato in: Science Advances, Numero 12, 2026, ISSN 2375-2548
Editore: American Association for the Advancement of Science (AAAS)
DOI: 10.1126/SCIADV.ADZ1502

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

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

Autori: 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
Pubblicato in: Biogeosciences, Numero 22, 2025, ISSN 1726-4189
Editore: Copernicus GmbH
DOI: 10.5194/BG-22-3965-2025

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

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

Autori: 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
Pubblicato in: Bulletin of the American Meteorological Society, Numero 107, 2026, ISSN 0003-0007
Editore: American Meteorological Society
DOI: 10.1175/BAMS-D-25-0139.1

Book chapters (1)

High-resolution biophysical parameter estimation at scale with uncertainties

Autori: Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, Francisco Javier García-Haro, Gustau Camps-Valls
Pubblicato in: Carbon Fluxes and Biophysical Variables from Earth Observation, 2025, ISBN 978-0-443-29991-9
Editore: 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

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

Conference proceedings (1)

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: 10.48550/ARXIV.2406.03920