Understanding and Modelling the Earth System with Machine Learning

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

Towards Causal Discovery for Earth System Sciences

Autores: Emiliano Diaz
Publicado en: 2023
Editor: Universitat de València

Consistent long-term observational datasets of soil moisture and vegetation reveal trends and variability in soil moisture, improve carbon cycle models, and constrain climate models.

Autores: Olya Skulovich
Publicado en: 2024
Editor: Columbia University

Causal discovery of Atlantic-Pacific interactions in observations and CMIP6 models

Autores: Karmouche, Soufiane
Publicado en: 2024
Editor: University of Bremen
DOI: 10.26092/elib/2833

Understanding and Modelling Convection with Machine Learning

Autores: Behrens, Gunnar
Publicado en: 2024
Editor: University of Bremen
DOI: 10.26092/elib/3050

A comparison of drought indices in CMIP6 climate projections

Autores: Lukas Ruhe
Publicado en: Master Thesis, 2022
Editor: University of Bremen, Germany

Detecting Activity of Tropical Cyclones with the Unsupervised Maximally Divergent Interval Algorithm

Autores: Simon Zitzmann
Publicado en: Master Thesis, 2020
Editor: LMU Munich

Data-driven cloud cover parameterizations for the ICON earth system model using deep learning and symbolic regression

Autores: Grundner, Arthur
Publicado en: Dissertation, 2024
Editor: University of Bremen
DOI: 10.26092/elib/2821

Machine-learning based observational cloud products for process-oriented climate model evaluation

Autores: Kaps, Arndt
Publicado en: 2024
Editor: University of Bremen
DOI: 10.26092/elib/2997

Understanding Land-Atmosphere Interactions Across Multiple Scales

Autores: Yu Huang
Publicado en: 2024
Editor: Columbia university

Estimating Information in Earth System Data with Machine Learning

Autores: Emmanuel J. Johnson
Publicado en: 2021
Editor: University of Valencia

Constraining uncertainties in multi-model projections of the future climate with observations

Autores: Manuel Schlund
Publicado en: Dissertation, 2021
Editor: University of Bremen
DOI: 10.26092/elib/941

Carbon system state determines warming potential of emissions

Autores: Alexander J. Winkler, Ranga Myneni, Christian Reimers, Markus Reichstein, Victor Brovkin
Publicado en: PLOS ONE, Edición 19, 2024, Página(s) e0306128, ISSN 1932-6203
Editor: Public Library of Science
DOI: 10.1371/journal.pone.0306128

Detecting extreme temperature events using Gaussian mixture models

Autores: Paçal, A., Hassler, B., Weigel, K., Kurnaz, M. L., Wehner, M. F., Eyring, V.
Publicado en: Journal of Geophysical Research: Atmospheres, Edición Volume 128; Edición 18; 22.09.2023, 2023, Página(s) e2023JD038906, ISSN 2169-897X
Editor: ADVANCING EARTH AND SPACE SCIENCES
DOI: 10.1029/2023jd038906

Regulation of the global carbon and water cycles through vegetation structural and physiological dynamics

Autores: Wantong Li, Gregory Duveiller, Sebastian Wieneke, Matthias Forkel, Pierre Gentine, Markus Reichstein, Shuli Niu, Mirco Migliavacca, Rene Orth
Publicado en: Environmental Research Letters, Edición 19, 2024, Página(s) 073008, ISSN 1748-9326
Editor: Institute of Physics Publishing
DOI: 10.1088/1748-9326/ad5858

Soil dryness matters to ecosystem photosynthesis when and where it does

Autores: Jiangong Liu, Qiren Wang, Weiwei Zhan, Xu Lian, Pierre Gentine
Publicado en: Nature water submitted, 2024, ISSN 1758-678X
Editor: Nature Publishing Group
DOI: 10.21203/rs.3.rs-5147541/v1

Deep Learning and Earth Observation to Support the Sustainable Development Goals

Autores: Persello, C., Wegner, J.D., Hänsch, R., Tuia, D., Ghamisi, P., Koeva, M., Camps-Valls, G.
Publicado en: IEEE Geoscience and Remote Sensing Magazine, 2022, Página(s) 2-30, ISSN 2168-6831
Editor: IEEE Geosciene and Remote Sensing Society
DOI: 10.1109/mgrs.2021.3136100

Characterizing clouds with the CCClim dataset, a machine learning cloud class climatology

Autores: Arndt Kaps, Axel Lauer, Rémi Kazeroni, Martin Stengel, Veronika Eyring
Publicado en: Earth System Science Data, Edición 16, 2024, Página(s) 3001-3016, ISSN 1866-3516
Editor: Copernicus GmbH
DOI: 10.5194/essd-16-3001-2024

Reliance on fossil fuels increases during extreme temperature events in the continental United States

Autores: Wenli Zhao, Biqing Zhu, Steven J. Davis, Philippe Ciais, Chaopeng Hong, Zhu Liu, Pierre Gentine
Publicado en: Communications Earth & Environment, Edición 4, 2023, ISSN 2662-4435
Editor: NA
DOI: 10.1038/s43247-023-01147-z

Structural learning of simple staged trees

Autores: Manuele Leonelli, Gherardo Varando
Publicado en: Data Mining and Knowledge Discovery, Edición 38, 2024, Página(s) 1520-1544, ISSN 1384-5810
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10618-024-01007-0

Evaluation of native Earth system model output with ESMValTool v2.6.0

Autores: Manuel Schlund, Birgit Hassler, Axel Lauer, Bouwe Andela, Patrick Jöckel, Rémi Kazeroni, Saskia Loosveldt Tomas, Brian Medeiros, Valeriu Predoi, Stéphane Sénési, Jérôme Servonnat, Tobias Stacke, Javier Vegas-Regidor, Klaus Zimmermann, Veronika Eyring
Publicado en: Geoscientific Model Development, Edición 16, 2023, Página(s) 315-333, ISSN 1991-9603
Editor: Copernicus GmbH
DOI: 10.5194/gmd-16-315-2023

Pushing the frontiers in climate modelling and analysis with machine learning

Autores: Veronika Eyring, William D. Collins, Pierre Gentine, Elizabeth A. Barnes, Marcelo Barreiro, Tom Beucler, Marc Bocquet, Christopher S. Bretherton, Hannah M. Christensen, Katherine Dagon, David John Gagne, David Hall, Dorit Hammerling, Stephan Hoyer, Fernando Iglesias-Suarez, Ignacio Lopez-Gomez, Marie C. McGraw, Gerald A. Meehl, Maria J. Molina, Claire Monteleoni, Juliane Mueller, Michael S. Pritch
Publicado en: Nature Climate Change, Edición 14, 2024, Página(s) 916-928, ISSN 1758-678X
Editor: Nature Publishing Group
DOI: 10.1038/s41558-024-02095-y

Interpretable Multiscale Machine Learning‐Based Parameterizations of Convection for ICON

Autores: Helge Heuer, Mierk Schwabe, Pierre Gentine, Marco A. Giorgetta, Veronika Eyring
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 16, 2024, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2024ms004398

Monitoring and benchmarking Earth system model simulations with ESMValTool v2.12.0

Autores: Axel Lauer, Lisa Bock, Birgit Hassler, Patrick Jöckel, Lukas Ruhe, Manuel Schlund
Publicado en: Geoscientific Model Development, Edición 18, 2025, Página(s) 1169-1188, ISSN 1991-9603
Editor: Copernicus Publications
DOI: 10.5194/gmd-18-1169-2025

Inferring causal relations from observational long-term carbon and water fluxes records

Autores: Díaz, E. Adsura, J.E., Martínez, Á.M, Piles, M., Camps-Valls, G
Publicado en: Scientific Reports, Edición 12, 2022, Página(s) 1610, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-022-05377-7

Constraining uncertainty in projected gross primary production with machine learning

Autores: M. Schlund, V. Eyring, G.-Camps-Valls, P. Friedlingstein, P. Gentine, & M. Reichstein
Publicado en: American Geophysical Union / Wiley Periodicals, 2020, ISSN 2576-604X
Editor: American Geophysical Union / Wiley Periodicals
DOI: 10.1029/2019jg005619

Evidence for widespread thermal acclimation of canopy photosynthesis

Autores: Jiangong Liu, Youngryel Ryu, Xiangzhong Luo, Benjamin Dechant, Benjamin Stocker, Trevor Keenan, Pierre Gentine, Xing Li, Bolun Li, Sandy Harrison, Iain Prentice
Publicado en: Nature Ecology - accepted, 2024, ISSN 1758-678X
Editor: Nature Publishing Group
DOI: 10.21203/rs.3.rs-4013319/v1

A hybrid generative adversarial network for weakly-supervised cloud detection in multispectral images

Autores: Jun Li, Zhaocong Wu, Qinghong Sheng, Bo Wang, Zhongwen Hu, Shaobo Zheng, Gustau Camps-Valls, Matthieu Molinier
Publicado en: Remote Sensing of Environment, Edición 280, 2022, Página(s) 113197, ISSN 0034-4257
Editor: Elsevier BV
DOI: 10.1016/j.rse.2022.113197

MetaFlux: Meta-learning global carbon fluxes from sparse spatiotemporal observations

Autores: Juan Nathaniel, Jiangong Liu, Pierre Gentine
Publicado en: Scientific Data, Edición 10, 2023, ISSN 2052-4463
Editor: NA
DOI: 10.1038/s41597-023-02349-y

Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning

Autores: Siyeon Kim, Juan Nathaniel, Zhewen Hou, Tian Zheng, Pierre Gentine
Publicado en: Scientific Data, Edición 11, 2024, ISSN 2052-4463
Editor: NA
DOI: 10.1038/s41597-024-03959-w

Hybrid modeling: Fusion of a deep approach and physics-based model for global hydrological modeling

Autores: Kraft, B., Jung, M., Körner, M., & Reichstein, M.
Publicado en: The International Archives of Photogrammetry, Remote Sensing and Spatial Information Science, Edición 21949034, 2020, ISSN 2194-9034
Editor: Copernicus Publications
DOI: 10.5194/isprs-archives-xliii-b2-2020-1537-2020

Satellite Analyses Unravel the Multi-Decadal Impact of Dam Management on Tropical Floodplain Vegetation

Autores: Luca Salerno, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Nicholas Clinton, Annunziato Siviglia, and Carlo Camporeale
Publicado en: Frontiers in Environmental Science, Edición 2296665X, 2022, ISSN 2296-665X
Editor: Frontiers
DOI: 10.3389/fenvs.2022.871530

Pairwise causal discovery with support measure machines

Autores: Gherardo Varando, Salvador Catsis, Emiliano Diaz, Gustau Camps-Valls
Publicado en: Applied Soft Computing, Edición 150, 2024, Página(s) 111030, ISSN 1568-4946
Editor: Elsevier BV
DOI: 10.1016/j.asoc.2023.111030

Deep Learning With Noisy Labels for Spatiotemporal Drought Detection

Autores: Jordi Cortés-Andrés, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 62, 2024, Página(s) 1-13, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2024.3504340

Learning latent functions for causal discovery

Autores: E Diaz. JE Johnson, G Varando, G Camps-Valls
Publicado en: Machine Learning: Science and Technology, 2023, ISSN 2632-2153
Editor: IOP Science
DOI: 10.1088/2632-2153/ace151

Climate-invariant machine learning

Autores: Tom Beucler, Pierre Gentine, Janni Yuval, Ankitesh Gupta, Liran Peng, Jerry Lin, Sungduk Yu, Stephan Rasp, Fiaz Ahmed, Paul A. O’Gorman, J. David Neelin, Nicholas J. Lutsko, Michael Pritchard
Publicado en: Science Advances, Edición 10, 2024, ISSN 2375-2548
Editor: NA
DOI: 10.1126/sciadv.adj7250

Learning Atmospheric Boundary Layer Turbulence

Autores: Sara Shamekh, Pierre Gentine
Publicado en: JAMES in review, 2023, ISSN 1758-678X
Editor: Nature Publishing Group
DOI: 10.22541/essoar.168748456.60017486/v1

A spatiotemporal stochastic climate model for benchmarking causal discovery methods for teleconnections

Autores: Tibau, X., Reimers, C., Gerhardus, A., Denzler, J., Eyring, V., Runge, J.
Publicado en: Environmental Data Science, Edición 26344602, 2022, ISSN 2634-4602
Editor: Cambridge University Press
DOI: 10.1017/eds.2022.11

Generative networks for spatio-temporal gap filling of Sentinel-2 reflectances

Autores: Maria Gonzalez-Calabuig, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
Publicado en: ISPRS Journal of Photogrammetry and Remote Sensing, Edición 220, 2025, Página(s) 637-648, ISSN 0924-2716
Editor: Elsevier BV
DOI: 10.1016/j.isprsjprs.2025.01.016

Causal hybrid modeling with double machine learning—applications in carbon flux modeling

Autores: Kai-Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls
Publicado en: Machine Learning: Science and Technology, Edición 5, 2024, Página(s) 035021, ISSN 2632-2153
Editor: IOP Science
DOI: 10.1088/2632-2153/ad5a60

X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X

Autores: Jacob A. Nelson, Sophia Walther, Fabian Gans, Basil Kraft, Ulrich Weber, Kimberly Novick, Nina Buchmann, Mirco Migliavacca, Georg Wohlfahrt, Ladislav Šigut, Andreas Ibrom, Dario Papale, Mathias Göckede, Gregory Duveiller, Alexander Knohl, Lukas Hörtnagl, Russell L. Scott, Jiří Dušek, Weijie Zhang, Zayd Mahmoud Hamdi, Markus Reichstein, Sergio Aranda-Barranco, Jonas Ardö, Maarten Op de Beeck
Publicado en: Biogeosciences, Edición 21, 2025, Página(s) 5079-5115, ISSN 1726-4189
Editor: Biogeosciences
DOI: 10.5194/bg-21-5079-2024

Causally‐Informed Deep Learning to Improve Climate Models and Projections

Autores: Fernando Iglesias‐Suarez, Pierre Gentine, Breixo Solino‐Fernandez, Tom Beucler, Michael Pritchard, Jakob Runge, Veronika Eyring
Publicado en: Journal of Geophysical Research: Atmospheres, Edición 129, 2024, ISSN 2169-897X
Editor: AGU
DOI: 10.1029/2023jd039202

Quantifying uncertainty in high resolution biophysical variable retrieval maps

Autores: Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Manuel Campos-Taberner, Francisco Javier García-Haro, Jordi Munoz-Marí, Steven W. Running, John Kimball, Nicholas Clinton, Gustau Camps-Valls
Publicado en: Remote Sensing of Environment (RSE), 2022, ISSN 0034-4257
Editor: Elsevier BV

Assessing and improving the transferability of current global spatial prediction models.

Autores: Ludwig, Marvin and Moreno-Martinez, Alvaro and Hölzel, Norbert and Pebesma, Edzer and Meyer, Hanna
Publicado en: Global Ecology and Biogeography, 2023, ISSN 1466-822X
Editor: Blackwell Publishing Inc.
DOI: 10.1111/geb.13635

Role of locality, fidelity and symmetry regularization in learning explainable representations

Autores: Michele Ronco, Gustau Camps-Valls
Publicado en: Neurocomputing, Edición 562, 2023, Página(s) 126884, ISSN 0925-2312
Editor: Elsevier BV
DOI: 10.1016/j.neucom.2023.126884

Reflections and projections on a decade of climate science

Autores: V. Eyring, V. Mishra, G. Griffith, L. Chen, T. F. Keenan, M. R. Turetsky, S. Brown, F. Jotzo, F. C. Moore, and S. van der Linden
Publicado en: Nature Publishing Group / Springer Nature, 2021, ISSN 1758-6798
Editor: Nature Publishing Group / Springer Nature
DOI: 10.1038/s41558-021-01020-x

Causal inference for time series

Autores: J., Runge, A., Gerhardus, G., Varando, V., Eyring, G., Camps-Valls
Publicado en: nature reviews earth & environment, Edición Volume 4; 07.2023, 2023, Página(s) 487-505, ISSN 2662-138X
Editor: Springer Nature
DOI: 10.1038/s43017-023-00431-y

Within-season crop monitoring at continental scale utilizing new gap-filled Landsat temporal series

Autores: C. Rajadel-Lambistos, E. Izquierdo-Verdiguier, A. Moreno-Martínez, M. P. Maneta, S. Begueria, J. S. Kimball, N. Clinton, C. Atzberger, G. Camps-Valls, S.W. Running
Publicado en: International Journal of Digital Earth, Edición 17, 2025, ISSN 1753-8947
Editor: Taylor & Francis
DOI: 10.1080/17538947.2024.2359577

Collaboration between artificial intelligence and Earth science communities for mutual benefit

Autores: Min Chen, Zhen Qian, Niklas Boers, Felix Creutzig, Gustau Camps-Valls, Klaus Hubacek, Christophe Claramunt, John P. Wilson, Stefano Nativi, Anthony J. Jakeman, R. Dietmar Müller, Michael Batty, Chenghu Zhou, Fahu Chen, Qiao Wang, Fan Zhang, C. Michael Barton, Josef Strobl, Michael Meadows, Carlo Ratti, Philipp Hess, Qingsong Xu, Zhixin Zhang, Qiushi Gu, A-Xing Zhu, Hui Lin, Linwang Yuan, Guonian
Publicado en: Nature Geoscience, Edición 17, 2024, Página(s) 949-952, ISSN 1752-0894
Editor: Nature Publishing Group
DOI: 10.1038/s41561-024-01550-x

Converging Findings of Climate Models and Satellite Observations on the Positive Impact of European Forests on Cloud Cover

Autores: Luca Caporaso, Gregory Duveiller, Graziano Giuliani, Filippo Giorgi, Martin Stengel, Emanuele Massaro, Matteo Piccardo, Alessandro Cescatti
Publicado en: Journal of Geophysical Research: Atmospheres, Edición 129, 2024, ISSN 2169-897X
Editor: Wiley Online Library
DOI: 10.1029/2023jd039235

Changing effects of external forcing on Atlantic–Pacific interactions

Autores: Soufiane Karmouche, Evgenia Galytska, Gerald A. Meehl, Jakob Runge, Katja Weigel, Veronika Eyring
Publicado en: Earth System Dynamics, Edición 15, 2024, Página(s) 689-715, ISSN 2190-4987
Editor: Copernicus GmbH
DOI: 10.5194/esd-15-689-2024

Physics-aware nonparametric regression models for Earth data analysis

Autores: Jordi Cortés-Andrés; Gustau Camps-Valls; Sebastian Sippel; Enikő Székely; Dino Sejdinovic; Emiliano Diaz; Adrián Pérez-Suay; Zhu Li; Miguel Mahecha; Markus Reichstein
Publicado en: Environmental Research Letters, 17 (5), Edición 17489326, 2022, ISSN 1748-9326
Editor: Institute of Physics Publishing
DOI: 10.3929/ethz-b-000546957

Identifying compound weather drivers of forest biomass loss with generative deep learning

Autores: Mohit Anand, Friedrich J. Bohn, Gustau Camps-Valls, Rico Fischer, Andreas Huth, Lily-belle Sweet, Jakob Zscheischler
Publicado en: Environmental Data Science, Edición 3, 2024, ISSN 2634-4602
Editor: Cambridge Press
DOI: 10.1017/eds.2024.2

Quantifying uncertainty in high resolution biophysical variable retrieval with machine learning

Autores: Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Manuel Campos-Taberner, Francisco Javier García-Haro, Jordi Muñoz-Marí, Steven W. Running, John Kimball, Nicholas Clinton, Gustau Camps-Valls
Publicado en: Remote Sensing of Environment, Edición 280, 2022, Página(s) 113199, ISSN 0034-4257
Editor: Elsevier BV
DOI: 10.1016/j.rse.2022.113199

Contrasting drought legacy effects on gross primary productivity in a mixed versus pure beech forest

Autores: Yu, X. and Orth, R. and Reichstein, M. and Bahn, M. and Klosterhalfen, A. and Knohl, A. and Koebsch, F. and Migliavacca, M. and Mund, M. and Nelson, J. A. and Stocker, B. D. and Walther, S. and Bastos, A.
Publicado en: Biogeosciences, Edición 17264189, 2022, ISSN 1726-4189
Editor: Copernicus Publications
DOI: 10.5194/bg-19-4315-2022

ClimateBench v1.0: A Benchmark for Data-Driven Climate Projections

Autores: Watson-Parris, D., Rao, Y., Olivié, D., Seland, Ø., Nowack, P., Camps-Valls, G., Stier, P., Bouabid, S., Dewey, M., Fons, E., Gonzalez, J., Harder, P., Jeggle, K., Lenhardt, J., Manshausen, P., Novitasari, M., Ricard, L., Roesch, C.
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 14 (10) :e2021MS002954, 2022, ISSN 1942-2466
Editor: American Geophysical Union

Biogeophysical Radiative Forcings of Large‐Scale Afforestation in Europe Are Highly Localized and Dominated by Surface Albedo Change

Autores: Ryan M. Bright, Luca Caporaso, Gregory Duveiller, Matteo Piccardo, Alessandro Cescatti
Publicado en: Geophysical Research Letters, Edición 52, 2025, ISSN 0094-8276
Editor: American Geophysical Union
DOI: 10.1029/2024gl112739

ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections

Autores: D. Watson‐Parris, Y. Rao, D. Olivié, Ø. Seland, P. Nowack, G. Camps‐Valls, P. Stier, S. Bouabid, M. Dewey, E. Fons, J. Gonzalez, P. Harder, K. Jeggle, J. Lenhardt, P. Manshausen, M. Novitasari, L. Ricard, C. Roesch
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 14, 2023, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2021ms002954

The AIDE Toolbox: Artificial intelligence for disentangling extreme events [Software and Data Sets]

Autores: Maria Gonzalez-Calabuig, Jordi Cortés-Andrés, Tristan Keith Ellis Williams, Mengxue Zhang, Oscar Jose Pellicer-Valero, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
Publicado en: IEEE Geoscience and Remote Sensing Magazine, Edición 12, 2024, Página(s) 113-118, ISSN 2168-6831
Editor: IEEE Geosciene and Remote Sensing Society
DOI: 10.1109/mgrs.2024.3382544

Discovering causal relations and equations from data

Autores: Gustau Camps-Valls, Andreas Gerhardus, Urmi Ninad, Gherardo Varando, Georg Martius, Emili Balaguer-Ballester, Ricardo Vinuesa, Emiliano Diaz, Laure Zanna, Jakob Runge
Publicado en: Physics Reports, Edición 1044, 2024, Página(s) 1-68, ISSN 0370-1573
Editor: Elsevier BV
DOI: 10.1016/j.physrep.2023.10.005

Soil moisture–atmosphere feedback dominates land carbon uptake variability

Autores: Humphrey, V., Berg, A., Ciais, P., Gentine, P., Jung, M., Reichstein, M., Seneviratne, S.I. and Frankenberg, C.
Publicado en: Nature, Edición 14764687, 2021, ISSN 1476-4687
Editor: Springer Nature
DOI: 10.1038/s41586-021-03325-5

AI-empowered next-generation multiscale climate modelling for mitigation and adaptation

Autores: Veronika Eyring, Pierre Gentine, Gustau Camps-Valls, David M. Lawrence, Markus Reichstein
Publicado en: Nature Geoscience, Edición 17, 2024, Página(s) 963-971, ISSN 1752-0894
Editor: Nature Publishing Group
DOI: 10.1038/s41561-024-01527-w

Groundwater rivals aridity in determining global photosynthesis

Autores: Francesco Giardina, Sonia I. Seneviratne, Jiangong Liu, Benjamin D. Stocker, Pierre Gentine
Publicado en: Nature Geo submitted, 2024, ISSN 1758-678X
Editor: Nature Publishing Group
DOI: 10.21203/rs.3.rs-3793488/v1

Data‐Driven Equation Discovery of a Cloud Cover Parameterization

Autores: Arthur Grundner, Tom Beucler, Pierre Gentine, Veronika Eyring
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 16, 2024, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2023ms003763

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 Press
DOI: 10.1017/eds.2025.8

Causal discovery reveals complex patterns of drought-induced displacement

Autores: Jose María Tárraga, Eva Sevillano-Marco, Jordi Muñoz-Marí, María Piles, Vasileios Sitokonstantinou, Michele Ronco, María Teresa Miranda, Jordi Cerdà, Gustau Camps-Valls
Publicado en: iScience, Edición 27, 2025, Página(s) 110628, ISSN 2589-0042
Editor: Elsevier
DOI: 10.1016/j.isci.2024.110628

Invertible Neural Networks for Probabilistic Aerosol Optical Depth Retrieval

Autores: Paolo Pelucchi, Jorge Vicent Servera, Philip Stier, Gustau Camps-Valls
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 63, 2025, Página(s) 1-13, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2025.3540173

Implicit learning of convective organization explains precipitation stochasticity

Autores: Sara Shamekh, Kara D. Lamb, Yu Huang, Pierre Gentine
Publicado en: Proceedings of the National Academy of Sciences, Edición 120, 2023, ISSN 0027-8424
Editor: National Academy of Sciences
DOI: 10.1073/pnas.2216158120

Satellite remote sensing reveals the footprint of biodiversity on multiple ecosystem functions across the NEON eddy covariance network

Autores: Ulisse Gomarasca, Gregory Duveiller, Javier Pacheco-Labrador, Guido Ceccherini, Alessandro Cescatti, Marco Girardello, Jacob A Nelson, Markus Reichstein, Christian Wirth, Mirco Migliavacca
Publicado en: Environmental Research: Ecology, Edición 3, 2024, Página(s) 045003, ISSN 2752-664X
Editor: IOP Publishing Ltd
DOI: 10.1088/2752-664x/ad87f9

Methodological challenges and new perspectives of shifting vegetation phenology in eddy covariance data.

Autores: Panwar, A., Migliavacca, M., Nelson, J.A., Cortés, J., Bastos, A., Forkel, M., Winkler, A.J.
Publicado en: Sci Rep, Edición 13, 13885, 2023, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/s41598-023-41048-x

Estimating the CO<sub>2</sub> Fertilization Effect on Extratropical Forest Productivity From Flux‐Tower Observations

Autores: Chunhui Zhan, René Orth, Hui Yang, Markus Reichstein, Sönke Zaehle, Martin G. De Kauwe, Anja Rammig, Alexander J. Winkler
Publicado en: Journal of Geophysical Research: Biogeosciences, Edición 129, 2024, Página(s) e2023JG007910, ISSN 2169-8953
Editor: Wiley Online Library
DOI: 10.1029/2023jg007910

Towards hybrid modeling of the global hydrological cycle

Autores: "Kraft, B. and Jung, M. and K\""orner, M. and Koirala, S. and Reichstein, M."
Publicado en: Hydrology and Earth System Sciences, Edición 16077938, 2022, ISSN 1607-7938
Editor: Copernicus Publications
DOI: 10.5194/hess-26-1579-2022

Estimation of vegetation traits with kernel NDVI.

Autores: Qiang Wang and Álvaro Moreno-Martínez and Jordi Muñoz-Marí and Manuel Campos-Taberner and Gustau Camps-Valls
Publicado en: ISPRS Journal of Photogrammetry and Remote Sensing, Edición 195, 2023, Página(s) 408-417, ISSN 0031-8663
Editor: Elsevier
DOI: 10.1016/j.isprsjprs.2022.12.019

Towards a Collective Agenda on AI for Earth Science Data Analysis

Autores: Tuia D, Roscher R, Wegner, JD, Jacobs, N, Zhu XX, Camps-Valls, G
Publicado en: IEEE Geoscience and Remote Sensing Magazine, Edición 9, 2021, Página(s) 88-104, ISSN 2168-6831
Editor: IEEE Geosciene and Remote Sensing Society
DOI: 10.1109/mgrs.2020.3043504

A new class of generative classifiers based on staged tree models

Autores: Federico Carli, Manuele Leonelli, Gherardo Varando
Publicado en: Knowledge-Based Systems, Edición 268, 2024, Página(s) 110488, ISSN 0950-7051
Editor: Elsevier BV
DOI: 10.1016/j.knosys.2023.110488

Gaussianizing the Earth: Multidimensional Information Measures for Earth Data Analysis

Autores: J. Emmanuel Johnson; Valero Laparra; Maria Piles; Gustau Camps-Valls
Publicado en: IEEE Geoscience and Remote Sensing Magazine, Edición 21686831, 2021, ISSN 2168-6831
Editor: IEEE Geosciene and Remote Sensing Society
DOI: 10.48550/arxiv.2010.06476

Exploring Optimal Complexity for Water Stress Representation in Terrestrial Carbon Models: A Hybrid-Machine Learning Model Approach

Autores: Jianing Fang, Pierre Gentine
Publicado en: Journal of Advances in Modeling Earth Systems, 2024, ISSN 2662-4435
Editor: NA

Hybrid modeling of evapotranspiration: inferring stomatal and aerodynamic resistances using combined physics-based and machine learning

Autores: ElGhawi, R., Kraft, B., Reimers, C., Reichstein, M., Körner, M., Gentine, P., Winkler, A.J.,
Publicado en: Environ. Res. Lett., Edición 18, 034039, 2023, ISSN 1748-9326
Editor: Institute of Physics Publishing
DOI: 10.1088/1748-9326/acbbe0

Retrieval of Physical Parameters With Deep Structured Kernel Regression

Autores: G. Camps-Valls, M. Campos-Taberner, V. Laparra, L. Martino and J. Muñoz-Marí
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 60, 2022, Página(s) 1-10, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2022.3211554

Emergence of the physiological effects of elevated CO2 on land–atmosphere exchange of carbon and water

Autores: Zhan, Chunhui and Orth, René and Migliavacca, Mirco and Zaehle, Sönke and Reichstein, Markus and Engel, Jan and Rammig, Anja and Winkler, Alexander J.
Publicado en: Global Change Biology, Edición 13652486, 2022, ISSN 1365-2486
Editor: Wiley Online Library
DOI: 10.1111/gcb.16397

Constraining biospheric carbon dioxide fluxes by combined top-down and bottom-up approaches

Autores: Samuel Upton, Markus Reichstein, Fabian Gans, Wouter Peters, Basil Kraft, Ana Bastos
Publicado en: Atmospheric Chemistry and Physics, Edición 24, 2024, Página(s) 2555-2582, ISSN 1680-7324
Editor: Copernicus Publications
DOI: 10.5194/acp-24-2555-2024

Global patterns of tree wood density

Autores: Hui Yang, Siyuan Wang, Rackhun Son, Hoontaek Lee, Vitus Benson, Weijie Zhang, Yahai Zhang, Yuzhen Zhang, Jens Kattge, Gerhard Boenisch, Dmitry Schepaschenko, Zbigniew Karaszewski, Krzysztof Stereńczak, Álvaro Moreno‐Martínez, Cristina Nabais, Philippe Birnbaum, Ghislain Vieilledent, Ulrich Weber, Nuno Carvalhais
Publicado en: Global Change Biology, Edición 30, 2024, ISSN 1354-1013
Editor: Blackwell Publishing Inc.
DOI: 10.1111/gcb.17224

Regime-oriented causal model evaluation of Atlantic-Pacific teleconnections in CMIP6

Autores: Karmouche, S., Galytska, E., Runge, J., Meehl, G. A., Phillips, A. S., Weigel, K., Eyring, V.
Publicado en: Earth System Dynamics, Edición Volume 14; Edición 2; 21.03.2023, 2023, Página(s) 309-344, ISSN 2190-4979
Editor: Copernicus Gesellschaft mbH
DOI: 10.5194/esd-14-309-2023

Non-Linear Dimensionality Reduction With a Variational Encoder Decoder to Understand Convective Processes in Climate Models

Autores: G. Behrens, T. Beucler, P. Gentine, F. Iglesias-Suarez, M. Pritchard, V. Eyring
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 19422466, 2022, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2022ms003130

Evaluating causal Arctic-midlatitude teleconnections in CMIP6

Autores: Galytska, E., Weigel, K., Handorf, D., Jaiser, R., Köhler, R., Runge, J., Eyring, V.
Publicado en: Journal of Geophysical Research: Atmospheres, Edición Volume 128; Edición 17; 09.09.2023, 2023, Página(s) e2022JD037978, ISSN 2169-897X
Editor: ADVANCING EARTH AND SPACE SCIENCES
DOI: 10.1029/2022jd037978

Enhanced global carbon cycle sensitivity to tropical temperature linked to internal climate variability

Autores: Na Li, Sebastian Sippel, Nora Linscheid, Christian Rödenbeck, Alexander J. Winkler, Markus Reichstein, Miguel D. Mahecha, Ana Bastos
Publicado en: Science Advances, Edición 10, 2024, Página(s) eadl6155, ISSN 2375-2548
Editor: American Association for the Advancement of Science
DOI: 10.1126/sciadv.adl6155

DeepPhenoMem V1.0: deep learning modelling of canopy greenness dynamics accounting for multi-variate meteorological memory effects on vegetation phenology

Autores: Guohua Liu, Mirco Migliavacca, Christian Reimers, Basil Kraft, Markus Reichstein, Andrew D. Richardson, Lisa Wingate, Nicolas Delpierre, Hui Yang, Alexander J. Winkler
Publicado en: Geoscientific Model Development, Edición 17, 2024, Página(s) 6683-6701, ISSN 1991-9603
Editor: Copernicus Publications
DOI: 10.5194/gmd-17-6683-2024

Multioutput Feature Selection for Emulation and Sensitivity Analysis

Autores: Jorge Vicent Servera, Luca Martino, Jochem Verrelst, Juan Pablo Rivera-Caicedo, Gustau Camps-Valls
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 62, 2024, Página(s) 1-11, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2024.3358231

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, Página(s) 1293-1308, ISSN 0162-8828
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2024.3495827

Large language models for causal hypothesis generation in science

Autores: Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls
Publicado en: Machine Learning: Science and Technology, Edición 6, 2025, Página(s) 013001, ISSN 2632-2153
Editor: IOP Science
DOI: 10.1088/2632-2153/ada47f

Differentiable Land Model Retrieves Global Environmental Controls of Ecological Parameters

Autores: Jianing Fang, Kevin Bownan, Wenli Zhao, Xu Lian, Pierre Gentine
Publicado en: Nature (submitted), 2024, ISSN 2662-4435
Editor: NA

Inference over radiative transfer models using variational and expectation maximization methods

Autores: Svendsen, Daniel Heestermans, Daniel Hernandez-Lobato, Luca Martino, Valero Laparra, Alvaro Moreno-Martinez, and Gustau Camps-Valls
Publicado en: Machine Learning, 2021, Página(s) 1-17, ISSN 0885-6125
Editor: Kluwer Academic Publishers
DOI: 10.1007/s10994-021-05999-4

Integration of a Deep‐Learning‐Based Fire Model Into a Global Land Surface Model

Autores: Rackhun Son, Tobias Stacke, Veronika Gayler, Julia E. M. S. Nabel, Reiner Schnur, Lazaro Alonso, Christian Requena‐Mesa, Alexander J. Winkler, Stijn Hantson, Sönke Zaehle, Ulrich Weber, Nuno Carvalhais
Publicado en: Journal of Advances in Modeling Earth Systems, Edición 16, 2024, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2023ms003710

A Data-Driven Approach to Partitioning Net Ecosystem Exchange using a Deep State Space Model

Autores: Trifunov, V., T., Shadaydeh, M., Runge, J., Reichstein, M., and Denzler, J. A.
Publicado en: IEEE Access, Edición 24732001, 2021, ISSN 2473-2001
Editor: IEEE
DOI: 10.1109/access.2021.3101129

Bringing it all together: science priorities for improved understanding of Earth system change and to support international climate policy

Autores: Colin G. Jones, Fanny Adloff, Ben B. B. Booth, Peter M. Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene T. Hewitt, Hazel A. Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm J. Roberts, Benjamin M. Sanderson, Roland Séférian, Samuel Somot, Pier Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts
Publicado en: Earth System Dynamics, Edición 15, 2024, Página(s) 1319-1351, ISSN 2190-4987
Editor: Copernicus GmbH
DOI: 10.5194/esd-15-1319-2024

Leaf-level coordination principles propagate to the ecosystem scale.

Autores: Gomarasca, Ulisse, Mirco Migliavacca, Jens Kattge, Jacob A. Nelson, Ülo Niinemets, Christian Wirth, Alessandro Cescatti et al.
Publicado en: Nature communications, Edición 14, no. 1, 3948, 2023, ISSN 2041-1723
Editor: Nature Publishing Group

Domain knowledge-driven variational recurrent networks for drought monitoring

Autores: Mengxue Zhang, Miguel-Ángel Fernández-Torres, Gustau Camps-Valls
Publicado en: Remote Sensing of Environment, Edición 311, 2024, Página(s) 114252, ISSN 0034-4257
Editor: Elsevier BV
DOI: 10.1016/j.rse.2024.114252

Getting the leaves right matters for estimating temperature extremes

Autores: Gregory Duveiller, Mark Pickering, Joaquin Muñoz-Sabater, Luca Caporaso, Souhail Boussetta, Gianpaolo Balsamo, Alessandro Cescatti
Publicado en: Geoscientific Model Development, Edición 16, 2023, Página(s) 7357-7373, ISSN 1991-9603
Editor: Copernicus Publications
DOI: 10.5194/gmd-16-7357-2023

Emulation of Forward Modeled Top-of-Atmosphere MODIS-Based Spectral Channels Using Machine Learning

Autores: Jessenia Gonzalez, Sudhakar Dipu, Odran Sourdeval, Alexandre Siméon, Gustau Camps-Valls, Johannes Quaas
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 18, 2024, Página(s) 1896-1911, ISSN 1939-1404
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2024.3507692

Soil and vegetation water content identify the main terrestrial ecosystem changes

Autores: Diego Bueso, Maria Piles, Philippe Ciais, Jean-Pierre Wigneron, Alvaro Moreno-Martínez, Gustau Camps-Valls
Publicado en: National Science Review, Edición Volume 10, Edición 5, May 2023, nwad026, 2023, ISSN 2095-5138
Editor: Oxford Press
DOI: 10.1093/nsr/nwad026

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,
Publicado en: Nature Communications, Edición 16, 2025, ISSN 2041-1723
Editor: Nature Publishing Group
DOI: 10.1038/s41467-025-56573-8

Multifidelity Gaussian Process Emulation for Atmospheric Radiative Transfer Models

Autores: Vicent, J. and Martino, L. and Verrelst, L. and Camps-Valls, G
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 61, 2023, Página(s) 1-10, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2023.3300460

The R Package stagedtrees for Structural Learning of Stratified Staged Trees

Autores: Carli, F., Leonelli, M., Riccomagno, E., & Varando, G
Publicado en: Journal of Statistical Software, 2022, ISSN 1548-7660
Editor: University of California at Los Angeles

A Scalable Unsupervised Feature Selection With Orthogonal Graph Representation for Hyperspectral Images

Autores: Gulsen Taskin; E. Fatih Yetkin; Gustau Camps-Valls
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 18, 2023, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2023.3284475

Machine learning-based parametrizations for the ICON model

Autores: Fernando Iglesias-Suarez, Arthur Grundner, Gunnar Behrens, Tom Beucler, Pierre Gentine, Marco Giorgetta, Michael Pritchard, and Veronika Eyring
Publicado en: AGU (American Geophysical Union) Fall Meeting 2021, 2021
Editor: AGU

Simulating Atmospheric Processes in ESMs and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations

Autores: Behrens, Gunnar und Beucler, Tom und Iglesias-Suarez, Fernando und Yu, Sungduk und Gentine, Pierre und Pritchard, Michael und Schwabe, Mierk und Eyring, Veronika
Publicado en: Oxford Workshop on Model Uncertainty, 2024
Editor: Oxford Workshop on Model Uncertainty

Machine learning-based parametrizations for the ICON model

Autores: Arthur Grundner, Fernando Iglesias-Suarez, Veronika Eyring, Pierre Gentine, Tom Beucler, and Marco Giorgetta
Publicado en: 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, 2021
Editor: NOAA

Non-Linear Dimensionality Reduction With a Variational Encoder Decoder (VED) to Understand Convective Processes in Climate Models

Autores: Behrens, Gunnar und Beucler, Tom und Gentine, Pierre und Iglesias-Suarez, Fernando und Pritchard, Michael und Eyring, Veronika
Publicado en: American Geophysical Union Fall Meeting 2022, 2022
Editor: American Geophysical Union

Understanding Climate Impacts on Vegetation with Gaussian Processes in Granger Causality

Autores: M Morata, D Bueso, M Piles, G Camps-Valls
Publicado en: NeurIPS AI for Earth Sciences, 2020
Editor: Neurips

Carbon fluxes estimation with aleatoric and epistemic uncertainties at high spatial resolution over large areas

Autores: Laura Martínez-Ferrer, Álvaro Moreno-Martínez, John S. Kimball, Steven W. Running, Nicholas Clinton, and Gustau Camps-Valls
Publicado en: EGU General Assembly 2022, 2022
Editor: EGU General Assembly 2022

Causally-informed neural nets to improve convection in climate models

Autores: F. Iglesias-Suarez, V. Eyring, P. Gentine, T. Beucler, M. Pritchard, J. Runge, and B. Solino-Fernandez
Publicado en: 2nd ELLIS workshop on Machine Learning for Earth and Climate sciences, 2022
Editor: ELLIS

Large Scale Masked Autoencoding for Reducing Label Requirements on SAR Data

Autores: Allen, M., Dorr, F., Gallego-Mejia, J.A., Martínez-Ferrer, L., Jungbluth, A., Kalaitzis, F., Ramos-Pollán, R.
Publicado en: NeurIPS 2023 - Workshop on Tackling Climate Change with Machine Learning., 2023
Editor: NeuIPS

On the Generalization of Agricultural Drought Classification from Climate Data

Autores: J. Gottfriedsen, M. Berrendorf, P. Gentine, B. Hassler, M. Reichstein, K. Weigel, V. Eyring
Publicado en: NeurIPS, 2021, ISSN 2331-8422
Editor: Climate Change AI
DOI: 10.48550/arxiv.2111.15452

Machine learning-based parameterizations for the ICON model

Autores: Arthur Grundner, Fernando Iglesias-Suarez, Tom Beucler, Pierre Gentine, Marco Giorgetta, and Veronika Eyring
Publicado en: ICCARUS, 2022
Editor: ICCARUS

Causally-informed neural nets to improve subgrid processes in climate models

Autores: F. Iglesias-Suarez, V. Eyring, P. Gentine, T. Beucler, M. Pritchard, J. Runge, and B. Solino-Fernandez
Publicado en: II ELLIS Doctoral Symposium 2022, 2022
Editor: ELLIS

Interpretable multiscale Machine Learning-Based Parameterizations of Convection for ICON

Autores: Helge Heuer, Mierk Schwabe, Pierre Gentine, Marco A. Giorgetta, Veronika Eyring
Publicado en: EGU General Assembly 2024, 2024
Editor: EGU
DOI: 10.5194/egusphere-egu24-10325

Physics-Aware Machine Learning For Geosciences And Remote Sensing

Autores: G Camps-Valls, DH Svendsen, J Cortés, A Moreno-Martínez, A Pérez-Suay, J Adsuara, I Martin, M Piles, J Muñoz-Marí, L Martino
Publicado en: IGARSS 2021 - 2021 IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium 2021, 2021, ISBN 978-1-6654-0369-6
Editor: IEEE
DOI: 10.1109/igarss47720.2021.9554521

Bootstrap aggregation and confidence measures to improve time series causal discovery

Autores: Kevin Debeire; Andreas Gerhardus; Jakob Runge; Veronika Eyring
Publicado en: Proceedings of Machine Learning Research, Edición 236, 2024
Editor: PMLR

Location-Aware Convolutional Encoder-Decoder for Drought Detection in Europe

Autores: J. Cortés-Andrés, M.Á. Fernández-Torres, G. Camps-Valls
Publicado en: AGU 2021, 2021
Editor: AGU 2021

Upscaling plant traits to ecosystem level: blending local biodiversity, global traits databases, and remote sensing data.

Autores: Álvaro Moreno-Martínez, Jose E Adsuara, Jordi Muñoz-Marí, Emma Izquierdo-Verdiguier, Jens Katge, Nuno Carvalhais, Markus Reichstein, Steven W Running, Gustau Camps-Valls
Publicado en: EGU General Assembly 2021, 2021
Editor: EGU

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data.

Autores: Allen, M., Dorr, F., Gallego-Mejia, J.A., Martínez-Ferrer, L., Jungbluth, A., Kalaitzis, F., Ramos-Pollán, R.
Publicado en: Part of Advances in Neural Information Processing Systems Datasets and Benchmarks Track 37 (NeurIPS 2024) (pp. 104694-104723), 2024
Editor: NeuIPS

Learning Granger Causal Feature Representations

Autores: G Varando, MA Fernández-Torres, G Camps-Valls
Publicado en: ICML 2021 - International Conference on Machine Learning - Workshop on Tackling Climate Change with Machine Learning, 2021
Editor: ICML

Fewshot learning on global multimodal embeddings for earth observation tasks,

Autores: Allen, M., Dorr, F., Gallego-Mejia, J.A., Martínez-Ferrer, L., Jungbluth, A., Kalaitzis, F., Ramos-Pollán, R
Publicado en: NeurIPS 2023 - R0-FoMo: Workshop on Robustness of Few-shot and Zero-shot Learning in Foundation Models, 2023
Editor: NeurIPS

Towards Inference in Hybrid Earth System Models

Autores: Kai-Hendrik Cohrs
Publicado en: AAAI 2024 Bridge on Knowledge-Guided Machine Learning, Edición Invited talk, 2024
Editor: AAAI

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation

Autores: Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles I. Stern, Tom Beucler, Bryce Harrop, Helge Heuer, Benjamin R. Hillman, Andrea Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth Barnes, Noah D. Brenowitz, Chris
Publicado en: 37th Conference on Neural Information Processing Systems, NeurIPS 2023, 2023
Editor: NeurIPS
DOI: 10.48550/arxiv.2306.08754

Context-Specific Causal Discovery for Categorical Data Using Staged Trees

Autores: Leonelli, M., Varando, G.
Publicado en: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, PMLR, 206: 8871–8888, 2023
Editor: PMLR

Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning

Autores: Trifunov, V., T., Shadaydeh, M., Barz, B., and Denzler, J. A.
Publicado en: ICMLA, 2021
Editor: IEEE
DOI: 10.1109/icmla52953.2021.00033

Time Series Causal Link Estimation under Hidden Confounding using Knockoff Interventions

Autores: Violeta-Teodora Trifunov, Maha Shadaydeh, Joachim Denzler
Publicado en: A causal view on dynamical systems, NeurIPS 2022 workshop, 2022
Editor: NeurIPS

Causal model evaluation

Autores: Katja Weigel, Kevin Debeire, Evgenia Galytska, Soufiane Karmouche, Jakob Runge, and Veronika Eyring
Publicado en: Exploring the Frontiers in Earth System Modeling with Machine Learning and Big Data, 2022
Editor: AGCI

A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation

Autores: Kaps, A., Lauer, A., Camps-Valls,G., Gentine, P., Gómez-Chova,L., Eyring, V.
Publicado en: Living Planet Symposium 2022, 2022
Editor: EESA

Learning Granger Causal Feature Representations

Autores: G. Varando, M.Á. Fernández-Torres, G. Camps-Valls
Publicado en: AGU (American Geophysical Union) Fall Meeting 2021, 2022
Editor: AGU

Causally-informed neural nets to improve subgrid processes in climate models

Autores: F. Iglesias-Suarez, V. Eyring, P. Gentine, T. Beucler, M. Pritchard, J. Runge, and B. Solino-Fernandez
Publicado en: Exploring the Frontiers in Earth System Modeling with Machine Learning and Big Data, 2022
Editor: AGCI

Graphs in State-Space Models for Granger Causality in Climate Science

Autores: Elvira, V., Chouzenoux, É., Cerdà-Bautista, J., Camps-Valls, G.
Publicado en: CausalStats23: When Causal Inference Meets Statistical Analysis, 2023
Editor: CNRS

Development of a Machine Learning Based Parameterization of Convection for ICON

Autores: H. Heuer, M. Schwabe, P. Gentine, V. Eyring
Publicado en: Atmospheric Physics: Experiment meets Modelling, 2022
Editor: Bad Honnef Physics School

Identifying the Causes of Pyrocumulonimbus (PyroCb)

Autores: Díaz Salas-Porras, E., Tazi, K., Braude, A., Okoh, D., Lamb, K.D., Watson-Parris, D., Harder, P., Meinert, N.
Publicado en: NeurIPS 2022 Workshop - Causality for Real-world Impact, 2022
Editor: Neurips

Long-time record andcontinuous high resolution gross primary productivity estimates at continental scales.

Autores: Alvaro Moreno, Laura Martínez-Ferrer, John Kimball, Martin Jung, Markus Reichstein, Steven W Running, Nicholas Clinton and Gustau Camps-Valls
Publicado en: AGU (American Geophysical Union) Fall Meeting 2021, 2021
Editor: AGU

Machine Learning-Based Parameterizations of Convection for ICON

Autores: Heuer, Helge Gustav Helmut; Schwabe, Mierk; Gentine, Pierre; Giorgetta, Marco A.; Eyring, Veronika
Publicado en: AGU Fall Meeting 2023, 2023
Editor: AGU

Investigation on the biophysical and biogeochemical responses of ecosystem conductance to water stress using eddy-covariance data

Autores: Han J., Zhan W., Gentine P.
Publicado en: American Geophysical Union Fall 2021, 2021
Editor: AGU

Machine learning-based parametrizations for ICON and evaluation with satellite data using the ESMValTool

Autores: Fernando Iglesias-Suarez, Arthur Grundner, Manuel Schlund, Mierk Schwabe, Tom Beucler, Pierre Gentine, Marco A. Giorgetta, and Veronika Eyring
Publicado en: Living Planet Symposium 2022, 2022
Editor: EESA

Recent Trends, Challenges and Limitations of Explainable AI in Remote Sensing

Autores: Höhl, A., Obadic, I., Fernández-Torres, M. Á., Oliveira, D., & Zhu, X. X.
Publicado en: . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8199-8205)., 2024
Editor: CVF

Exploring Generalisability of Self-Distillation with No Labels for SAR-Based Vegetation Prediction

Autores: Martínez-Ferrer, L., Jungbluth, A., Gallego-Mejia, J.A., Allen, M., Dorr, F., Kalaitzis, F., Ramos-Pollán, R.
Publicado en: NeurIPS 2023 - Workshop on Distribution Shifts: New Frontiers with Foundation Models, 2023
Editor: Neurips

Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist

Autores: Cohrs, K-H. and Varando, G. and Guimerà, R. and Sales-Pardo, M. and Camps-Valls, G
Publicado en: AI for Differential Equations in Science Workshop in ICLR 2024, 2024
Editor: ICLR

Double Machine Learning for Earth and Climate Sciences

Autores: Kai Hendrik Cohrs, Gherardo Varando, Nuno Carvalhais, Markus Reichstein, Gustau Camps-Valls
Publicado en: Nordic Probabilistic AI Summer School 2022, 2022
Editor: Nordic Probabilistic AI Summer School 2022

Exploiting Spatial and Temporal Information with ConvLSTM Networks for Cloud Detection over Landmarks

Autores: D. López-Puigdollers, A. Pérez-Suay, G. Mateo-García, L. Gómez-Chova
Publicado en: Living Planet Symposium 2022, 2022
Editor: Living Planet Symposium 2022 - ESA

Towards Physically Consistent Deep Learning For Climate Model Parameterizations

Autores: Birgit Kühbacher; Fernando Iglesias-Suarez; Niki Kilbertus; Veronika Eyring
Publicado en: ICMLA 2024, 2024
Editor: ICMLA
DOI: 10.48550/arxiv.2406.03920

Analyzing Climate Scenarios Using Dynamic Mode Decomposition With Control

Autores: Mankovich M., Bouabid S. and Camps-Valls G.
Publicado en: Dynamics, Data and Deep Learning workshop, Bristol, UK 2024, 2024
Editor: Bristol

Physics-informed Machine Learning-Based Cloud Microphysics Parameterization for Earth System Models

Autores: Sarauer, E.; Schwabe, M.; Lauer, A.; Stier, P.; Weiss, P.; Eyring, V.
Publicado en: Tackling Climate Change with Machine Learning workshop at ICLR 2024, 2024
Editor: ICLR

Characterizing the Earth complex dynamical system through spectral decomposition of kernel transfer operators

Autores: J. Adsuara, G. Varando, A. Pérez-Suay, K. Cohrs, E. Díaz, D. Bueso, G. Camps-Valls
Publicado en: Living Planet Symposium 2022, 2022
Editor: ESA

Development of a Machine Learning Based Parameterization of Convection for ICON

Autores: H. Heuer, M. Schwabe, P. Gentine, V. Eyring
Publicado en: Summer School on Land-Atmosphere Interaction Processes and Convection, 2022
Editor: CHESS

The Kernelized Taylor Diagram

Autores: Kristoffer Wickstrøm, Juan Emmanuel Johnson, Sigurd Løkse, Gustau Camps-Valls, Karl Øyvind Mikalsen, Michael Kampffmeyer, and Robert Jenssen
Publicado en: Symposium of the Norwegian AI Society, 31 May-1 June 2022, Oslo, Norway 2022, 2022
Editor: Norwegian AI Society

Recent Advances in Deep Learning for Spatio-Temporal Drought Monitoring, Forecasting and Model Understanding

Autores: J. Cortés-Andrés, M.Á. Fernández-Torres, G. Camps-Valls
Publicado en: EGU 2021, 2021
Editor: EGU

Learning Causal Representations with Granger PCA

Autores: Varando, G., Fernández-Torres, M.Á., Muñoz-Marí, J., Camps-Valls, G.
Publicado en: Causal Representation Learning Workshop @ UAI'22,, 2022
Editor: UAI

Interpretable AI – two examples

Autores: M. Schwabe, G. Behrens, T. Beucler, F. Iglesias-Suarez, P. Gentine, M. Giorgetta, A. Grundner, M. Pritchard, V. Eyring
Publicado en: 2nd ELLIS workshop on Machine Learning for Earth and Climate sciences, 2022
Editor: ELLIS

Causal discovery on climate models data

Autores: Kevin Debeire, Jakob Runge, and Veronika Eyring
Publicado en: ML for Earth System Modelling and Analytics workshop 2021, 2021
Editor: ML for Earth System Modelling and Analytics workshop

Causal evaluation of Arctic-midlatitude processes in CMIP6 model simulations

Autores: Evgenia Galytska, Katja Weigel, Jakob Runge, Dörthe Handorf, Ralf Jaiser, Raphael Köhler, and Veronika Eyring
Publicado en: EGU General Assembly 2022, 2022
Editor: EGU
DOI: 10.5194/egusphere-egu22-870

Intercomparing Global Foliar Trait and Canopy Height Maps: Upscaling Approaches and Spatial Patterns

Autores: Benjamin Dechant, Ryan Pavlick, Jens Kattge, Fabian D Schneider, Ethan E Butler, Alvaro Moreno
Publicado en: AGU (American Geophysical Union) Fall Meeting 2021, 2021
Editor: AGU (American Geophysical Union) Fall Meeting 2021

Learning Causal Representations with Granger PCA

Autores: G. Varando, M.Á. Fernández-Torres, J. Muñoz-Marí, G. Camps-Valls
Publicado en: Causal Representation Learning workshop at the 38th Conference on Uncertainty in Artificial Intelligence (UAI CRL 2022), 2022
Editor: UAI

Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX

Autores: Anthony Zhou, Linnia Hawkins, Pierre Gentine
Publicado en: NeurIPS, 2024
Editor: NeurIPS

Epistemic and aleatoric uncertainty maps in high resolution biophysical parameter retrieval

Autores: Laura Martínez-Ferrer, Álvaro Moreno-Martínez, Jordi Muñoz-Marí,Emma Izquierdo-Verdiguier, Manuel Campos-Taberner, Javier García-Haro, MarcoManeta, Nathaniel Robinson, Nicholas Clinton, John Kimball, Steven W. Running, andGustau Camps-Valls
Publicado en: EGU General Assembly 2021, 2021
Editor: EGU General Assembly 2021

A two-stage machine learning framework using global satellite data of cloud classes for process-oriented model evaluation

Autores: Kaps, A., Lauer, A., Camps-Valls,G., Gentine, P., Gómez-Chova,L., Eyring, V.
Publicado en: EGU General Assembly 2022, 2022
Editor: EGU
DOI: 10.5194/egusphere-egu22-676

Carbon fluxes estimation at scale: long-term, continuous, high spatial resolution with uncertainties at continental scales

Autores: Laura Martínez-Ferrer, Alvaro Moreno‑Martínez, John S. Kimball, Steven W. Running, Nicholas Clinton, Gustau Camps-Valls
Publicado en: Living Planet Symposium 2022, 2022
Editor: Living Planet Symposium 2022

Machine learning for improved understanding and projections of climate change

Autores: Schwabe, Mierk; Eyring, Veronika
Publicado en: TRR 165/181 Conference, 2023
Editor: TRR 165/181 Conference

Large Language Models for Constrained-Based Causal Discovery.

Autores: Cohrs, K., Diaz, E., Sitokonstantinou, V., Varando G. and Camps-Valls, G.
Publicado en: AAAI 2024 Workshop on 'Are Large Language Models Simply Causal Parrots?, 2024
Editor: AAAI

Comparing Data-Driven and Mechanistic Models for Predicting Phenology in Deciduous Broadleaf Forests

Autores: Reimers, C.; Hafezi Rachti, D.; Liu, G.; Winkler, A.
Publicado en: arXiv, Edición 9, 2023
Editor: NeurIPS 2023 Workshop on Tackling Climate Change with Machine Learning
DOI: 10.48550/arxiv.2401.03960

Learning ENSO-related Principal Modes of Vegetation via a Granger-Causal Variational Autoencoder

Autores: G. Varando, M.Á. Fernández-Torres, G. Camps-Valls
Publicado en: EGU 2022, 2022
Editor: EGU

Highly Efficient Structural Learning of Sparse Staged Trees

Autores: M. Leonelli, G. Varando
Publicado en: The 11th International Conference on Probabilistic Graphical Models, 2022
Editor: PMLR press

Machine learning based gravity wave parametrizations for ICON

Autores: Schwabe, M., Grundner, A., Gentine, P., Giorgetta, M. A., Rapp, M., Eyring, V.
Publicado en: SPARC Gravity Wave Symposium 2022, 2022
Editor: SPARC

Spatio-Temporal Gaussianization Flows for Extreme Event Detection

Autores: M.Á. Fernández-Torres, J.E. Johnson, M. Piles, G. Camps-Valls
Publicado en: EGU, 2021
Editor: EGU

Deep learning based cloud cover parameterization for ICON

Autores: Grundner, A., Beucler, T., Gentine, P., Iglesias-Suarez, F., Giorgetta, M. A., Eyring, V.
Publicado en: Journal of Advances in Modeling Earth Systems, Edición Volume 14; Edición 12; 14.12.2022, 2021, Página(s) e2021MS002959, ISSN 1942-2466
Editor: American Geophysical Union
DOI: 10.1029/2021ms002959

Causal model evaluation of Arctic-midlatitude teleconnections in CMIP6

Autores: E. Galytska, K. Weigel, D. Handorf, R. Jaiser, R.H. Köhler, J. Runge, and V. Eyring
Publicado en: Earth and Space Science Open Archive, Edición 23335084, 2022, ISSN 2333-5084
Editor: Earth and Space Science Open Archive
DOI: 10.1002/essoar.10512569.1

Climate-Invariant Machine Learning

Autores: Beucler, T., Pritchard, M., Yuval, J., Gupta, A., Peng, L., Rasp, S., Ahmed, F., O'Gorman, P.A., Neelin, J.D., Lutsko, N.J. and Gentine, P.
Publicado en: arXiv, Edición 23318422, 2021, ISSN 2331-8422
Editor: arXiv
DOI: 10.48550/arxiv.2112.08440

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

Autores: Svendsen, D. H., Piles, M., Muñoz-Marí, J., Luengo, D., Martino, L, Camps-Valls G.
Publicado en: IEEE Transactions on Geoscience and Remote Sensing, Edición 60, 2022, Página(s) 1-15, ISSN 0196-2892
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2021.3059550

Bringing it all together: Science and modelling priorities to support international climate policy

Autores: Colin Gareth Jones, Fanny Adloff, Ben Booth, Peter Cox, Veronika Eyring, Pierre Friedlingstein, Katja Frieler, Helene Hewitt, Hazel Jeffery, Sylvie Joussaume, Torben Koenigk, Bryan N. Lawrence, Eleanor O'Rourke, Malcolm Roberts, Benjamin Sanderson, Roland Séférian, Samuel Somot, Pier-Luigi Vidale, Detlef van Vuuren, Mario Acosta, Mats Bentsen, Raffaele Bernardello, Richard Betts, Ed Blockley, Ju
Publicado en: EGUsphere, 2024, ISSN 2190-4987
Editor: Copernicus GmbH
DOI: 10.5194/egusphere-2024-453

Machine-Learned Cloud Classes From Satellite Datafor Process-Oriented Climate Model Evaluation

Autores: Kaps, A., Lauer, A., Camps-Valls, G., Gentine, P., Gómez-Chova, L., Eyring, V.
Publicado en: TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, Edición Volume 61; 31.01.2023, 2022, ISSN 2331-8422
Editor: IEEE
DOI: 10.1109/tgrs.2023.3237008

Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using machine learning

Autores: Weiwei Zhan, Xi Yang, Youngryel Ryu, Benjamin Dechant, Yu Huang, Yves Goulas, Minseok Kang, Pierre Gentine
Publicado en: Agricultural and Forest Meteorology, Edición 321, 2023, Página(s) 108980, ISSN 0168-1923
Editor: Elsevier BV
DOI: 10.1016/j.agrformet.2022.108980

Evaluation of Native Earth System Model Output with ESMValTool v2.6.0

Autores: M., Schlund, B., Hassler, A., Lauer, B., Andela, P., Jöckel, R., Kazeroni, S. L., Tomas, B., Medeiros, V., Predoi, S., Sénési, J., Servonnat, T., Stacke, J., Vegas-Regidor, K., Zimmermann, V., Eyring
Publicado en: Geoscientific Model Development Discussions, Edición Volume 16; 11.01.2023, 2022, Página(s) 315-333, ISSN 1991-962X
Editor: Geoscientific Model Development Discussions
DOI: 10.5194/gmd-2022-205

Physics-aware Machine Learning for Earth Observation

Autores: Camps-Valls, G.
Publicado en: NeurIPS 2022 - Workshop on Tackling Climate Change with Machine Learning, Edición Keynote talk, 2022
Editor: Neurips

Learning Causal Representations with Granger Rotated PCA

Autores: Gherardo Varando
Publicado en: 16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Edición Invited talk, 2023
Editor: CMS

Intercomparison of global foliar trait maps reveals fundamental differences and limitations of upscaling approaches.

Autores: Benjamin Dechant , Jens Kattge, Ryan Pavlick, Fabian Schneider, Francesco Sabatini, Alvaro Moreno-Martinez, Ethan Butler, Peter van Bodegom, Helena Vallicrosa, Teja Kattenborn, Coline Boonman, Nima Madani, Ian Wright, Ning Dong, Hannes Feilhauer, Josep Penuelas, Jordi Sardans, Jesus Aguirre-Gutierrez, Peter Reich, Pedro Leitao, Jeannine Cavender-Bares, Isla H. Myers-Smith , Sandra Duran, Holly Cro
Publicado en: 2023
Editor: EarthArchiv

Geological carbon cycle constraints on the terrestrial hydrological response to higher atmospheric CO2.

Autores: Rugenstein, J.K.C., Winkler, A.J.
Publicado en: ESSOAR, 2022
Editor: ESSOAR
DOI: 10.1002/essoar.10512683.1

Emergence of the physiological effects of elevated CO2 on land-atmosphere exchange of carbon and water

Autores: Chunhui Zhan, René Orth, Mirco Migliavacca, Sönke Zaehle, Markus Reichstein, Jan Engel, Anja Rammig, Alexander J. Winkler
Publicado en: Earth and Space Science Open Archive, 2022
Editor: Earth and Space Science Open Archive
DOI: 10.1002/essoar.10510955.1

The biogeophysical effects of idealized land cover and land management changes in Earth System Models

Autores: Steven Johan De Hertog, Felix Havermann, Inne Vanderkelen, Suqi Guo, Fei Luo, Iris Manola, Dim Coumou, Edouard Léopold Davin, Gregory Duveiller, Quentin Lejeune, Julia Pongratz, Carl-Friedrich Schleussner, Sonia Isabelle Seneviratne, Wim Thiery
Publicado en: Earth System Dynamcis Discussions, 2022
Editor: Copernicus GmbH
DOI: 10.5194/esd-2022-5

Better Better — machine learning for improved climate models and projections

Autores: Eyring V. and Gentine P.
Publicado en: 2021
Editor: UN

Interannual global carbon cycle variations linked to atmospheric circulation variability

Autores: Na Li, Sebastian Sippel, Alexander J. Winkler, Miguel D. Mahecha, Markus Reichstein, Ana Bastos
Publicado en: Earth System Dynamics Discussion, 2022
Editor: Copernicus GmbH
DOI: 10.5194/egusphere-2022-96

Extreme Event Monitoring, Everywhere, All at Once: Challenges and Strategies

Autores: Fernández-Torres, M.A.
Publicado en: ICS Theoretical Astrophysics & Computational Science Seminar, Universität Zürich, Zurich, Switzerland, Edición Invited talk, 2023
Editor: ETH

Generative Adversarial Networks in the Geosciences

Autores: Mateo-Garc\'\ia, Gonzalo and Laparra, Valero and Requena-Mesa, Christian and G\'omez-Chova, Luis
Publicado en: Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences. Wiley & Sons 2021, 2021
Editor: Wiley and sons

Combining system modeling and machine learning into hybrid ecosystem modeling. Science-guided Machine Learning: Emerging Trends in Combining Scientific Knowledge with Data-driven Methods, Data Mining and Knowledge Discovery Series. CRC Press 2021

Autores: Reichstein, M. and Ahrens, B. and Kraft, B. and Camps-Valls, G. and Carvalhais, N. and Gans, F. and Gentine, P. and Winkler, A.J.
Publicado en: 2022
Editor: Chapman and Hall/CRC
DOI: 10.1201/9781003143376

Perspective on Deep Learning for Earth Sciences

Autores: Gustau Camps-Valls
Publicado en: Generalization with Deep Learning, 2021, ISSN 1013-2511
Editor: World Scientific
DOI: 10.1142/9789811218842_0007

Spatio-temporal Autoencoders in Weather and Climate Research

Autores: Xavier-Andoni Tibau, Christian Reimers, Christian Requena-Mesa, and Jakob Runge
Publicado en: 2021, ISBN 9781119646181
Editor: John Wiley & Sons, Ltd
DOI: 10.1002/9781119646181.ch13

Deep Learning for the Parametrization of Subgrid Processes in Climate Models

Autores: P. Gentine, V. Eyring and T. Beucler
Publicado en: Chapter 21 In Book: Deep Learning for the Earth Sciences, Eds G. Camps-Valls, D. Tuia, X. X. Zhu, M. Reichstein, 2021
Editor: John Wiley & Sons Ltd
DOI: 10.1002/9781119646181.ch21

Learning Unsupervised Feature Representations of Remote Sensing Data with Sparse Convolutional Networks

Autores: Adsuara, Jose E and Campos-Taberner, Manuel and Garc\'\ia-Haro, Javier and Gatta, Carlo and Romero, Adriana and Camps-Valls, Gustau
Publicado en: Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences. Wiley & Sons 2021, 2021
Editor: Wiley and sons

Introduction to Deep Learning for the Earth Sciences

Autores: Gustau Camps-Valls, Xiao Xiang Zhu, Devis Tuia, and Markus Reichstein
Publicado en: Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences. Wiley & Sons 2021, 2021
Editor: Wiley and sons

Outloook to Deep Learning for the Earth Sciences

Autores: Markus Reichstein, Gustau Camps-Valls, Devis Tuia, and Xiao Xiang Zhu
Publicado en: Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences. Wiley & Sons 2021, 2021
Editor: Wiley and sons
DOI: 10.1002/9781119646181.ch23

Emulating Ecological Memory with Recurrent Neural Networks

Autores: Basil Kraft, Simon Besnard, and Sujan Koirala
Publicado en: 2021
Editor: Wiley Online Library
DOI: 10.1002/9781119646181.ch18

Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences

Autores: Gustau Camps-Valls, Devis Tuia, Xiao Xiang Zhu, Markus Reichstein
Publicado en: Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences, 2021, ISBN 9781119646181
Editor: Wiley and sons
DOI: 10.1002/9781119646181

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