Estimating cereal evapotranspiration using a simple model driven by satellite data. - Benoît Duchemin; Salah Er-Raki; Pierre Gentine; Philippe Maisongrande; Laurent Coret; Gilles Boulet; Julio César Rodriguez; Vincent Simonneaux; Abdelghani G. Chehbouni; Gérard Dedieu; N. Guemouria (IGARSS, 2003)

DART: 3-D model of optical satellite images and radiation budget. - Jean-Philippe Gastellu-Etchegorry; Emmanuel Martin; Ferran Gascon; Alice Belot; Marie-José Lefèvre; P. Boyat; Pierre Gentine; G. Ader; J. Deschard; P. Torruella; K. Chourak (IGARSS, 2003)

Aggregation of land surface heat fluxes using stochastic state variables. - Pierre Gentine; A. Chenbouni; Gilles Boulet; Benoît Duchemin; Franck Timouk; Jamal Ezzahar (IGARSS, 2003)

Statistical downscaling of remotely-sensed soil moisture. - Seyed Hamed Alemohammad; Jana Kolassa; Catherine Prigent; Filipe Aires; Pierre Gentine (IGARSS, 2017)

Statistical retrieval of surface and root zone soil moisture using synergy of multi-frequency remotely-sensed observations. - Seyed Hamed Alemohammad; Jana Kolassa; Catherine Prigent; Filipe Aires; Pierre Gentine (IGARSS, 2017)

Measuring Tree Properties and Responses Using Low-Cost Accelerometers. - Tim van Emmerik; Susan C. Steele-Dunne; Rolf Hut; Pierre Gentine; Marceau Guerin; Rafael S. Oliveira; Jim Wagner; John S. Selker; Nick van de Giesen (Sensors, 2017)

Deep learning to represent sub-grid processes in climate models. - Stephan Rasp 001; Michael S. Pritchard; Pierre Gentine (CoRR, 2018)

Uncovering exposures responsible for birth season - disease effects: a global study. - Mary Regina Boland; Pradipta Parhi; Li Li 062; Riccardo Miotto; Robert J. Carroll; Usman Iqbal; Phung-Anh (Alex) Nguyen; Martijn J. Schuemie; Seng Chan You; Donahue Smith; Sean D. Mooney; Patrick B. Ryan; et al. (J. Am. Medical Informatics Assoc., 2018)

Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. - Gianpaolo Balsamo; Anna Agustì-Parareda; Clément Albergel; Gabriele Arduini; Anton Beljaars; Jean Bidlot; Nicolas Bousserez; Souhail Boussetta; Andy Brown; Roberto Buizza; Carlo Buontempo; Frédéric Chevallier; et al. (Remote. Sens., 2018)

Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. - Tom Beucler; Stephan Rasp 001; Michael S. Pritchard; Pierre Gentine (CoRR, 2019)

Recovering the parameters underlying the Lorenz-96 chaotic dynamics. - Soukayna Mouatadid; Pierre Gentine; Wei Yu; Steve Easterbrook (CoRR, 2019)

Correction: Balsamo, G., et al. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing 2018, 10, 2038. - Gianpaolo Balsamo; Anna Agustì-Parareda; Clément Albergel; Gabriele Arduini; Anton Beljaars; Jean Bidlot; Eleanor Blyth; Nicolas Bousserez; Souhail Boussetta; Andy Brown; Roberto Buizza; Carlo Buontempo; et al. (Remote. Sens., 2019)

Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates. - Brianna Rita Pagán; Wouter H. Maes; Pierre Gentine; Brecht Martens; Diego G. Miralles (Remote. Sens., 2019)

Towards Physically-Consistent, Data-Driven Models of Convection. - Tom Beucler; Michael S. Pritchard; Pierre Gentine; Stephan Rasp 001 (IGARSS, 2020)

On the Generalization of Agricultural Drought Classification from Climate Data. - Julia Gottfriedsen; Max Berrendorf; Pierre Gentine; Markus Reichstein; Katja Weigel; Birgit Hassler; Veronika Eyring (CoRR, 2021)

Climate-Invariant Machine Learning. - Tom Beucler; Michael S. Pritchard; Janni Yuval; Ankitesh Gupta; Liran Peng; Stephan Rasp 001; Fiaz Ahmed; Paul A. O'Gorman; J. David Neelin; Nicholas J. Lutsko; Pierre Gentine (CoRR, 2021)

Deep Learning Based Cloud Cover Parameterization for ICON. - Arthur Grundner; Tom Beucler; Fernando Iglesias-Suarez; Pierre Gentine; Marco A. Giorgetta; Veronika Eyring (CoRR, 2021)

Observed strong atmospheric water constraints on forest photosynthesis using eddy covariance and satellite-based data across the Northern Hemisphere. - Yongxian Su; Xueqin Yang; Pierre Gentine; Fabienne Maignan; Jiali Shang; Philippe Ciais (Int. J. Appl. Earth Obs. Geoinformation, 2022)

History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96. - Mohamed Aziz Bhouri; Pierre Gentine (CoRR, 2022)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

Differentiable modeling to unify machine learning and physical models and advance Geosciences. - Chaopeng Shen; Alison P. Appling; Pierre Gentine; Toshiyuki Bandai; Hoshin V. Gupta; Alexandre Tartakovsky; Marco Baity-Jesi; Fabrizio Fenicia; Daniel Kifer; Li Li; Xiaofeng Liu; Wei Ren; et al. (CoRR, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - Sungduk Yu; Walter M. Hannah; Liran Peng; Mohamed Aziz Bhouri; Ritwik Gupta; Jerry Lin; Björn Lütjens; Justus C. Will; Tom Beucler; Bryce E. Harrop; Benjamin R. Hillman; Andrea M. Jenney; et al. (CoRR, 2023)

Multi-fidelity climate model parameterization for better generalization and extrapolation. - Mohamed Aziz Bhouri; Liran Peng; Michael S. Pritchard; Pierre Gentine (CoRR, 2023)

Transferring climate change knowledge. - Francesco Immorlano; Veronika Eyring; Thomas le Monnier de Gouville; Gabriele Accarino; Donatello Elia; Giovanni Aloisio; Pierre Gentine (CoRR, 2023)

Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models. - Jerry Lin; Sungduk Yu; Tom Beucler; Pierre Gentine; David Walling; Mike Pritchard (CoRR, 2023)

Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System. - Kyleen Liao; Jatan Buch; Kara Lamb; Pierre Gentine (CoRR, 2023)

Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. - Arndt Kaps; Axel Lauer; Gustau Camps-Valls; Pierre Gentine; Luis Gómez-Chova; Veronika Eyring (IEEE Trans. Geosci. Remote. Sens., 2023)

GLAB-VOD: Global L-band AI-Based Vegetation Optical Depth Dataset Based on Machine Learning and Remote Sensing. - Olya Skulovich; Pierre Gentine; Jean-Pierre Wigneron; Li Xiaojun (Zenodo, 2023)

Deep Generative Data Assimilation in Multimodal Setting. - Yongquan Qu; Juan Nathaniel; Shuolin Li; Pierre Gentine (CVPR Workshops, 2024)

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. - Juan Nathaniel; Yongquan Qu; Tung Nguyen; Sungduk Yu; Julius Busecke; Aditya Grover; Pierre Gentine (NeurIPS, 2024)

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming. - Yongquan Qu; Mohamed Aziz Bhouri; Pierre Gentine (CoRR, 2024)

Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX. - Anthony Zhou; Linnia Hawkins; Pierre Gentine (CoRR, 2024)

Generative emulation of chaotic dynamics with coherent prior. - Juan Nathaniel; Pierre Gentine (CoRR, 2025)

Deep Koopman operator framework for causal discovery in nonlinear dynamical systems. - Juan Nathaniel; Carla Roesch; Jatan Buch; Derek DeSantis; Adam Rupe; Kara Lamb; Pierre Gentine (CoRR, 2025)

CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models. - Benjamin Herdeanu; Juan Nathaniel; Carla Roesch; Jatan Buch; Gregor N. Ramien; Johannes Haux; Pierre Gentine (CoRR, 2025)

Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling. - Matthieu Blanke; Yongquan Qu; Sara Shamekh; Pierre Gentine (CoRR, 2025)

Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences. - Jing-An Sun; Hang Fan; Junchao Gong; Ben Fei; Kun Chen; Fenghua Ling; Wenlong Zhang; Wanghan Xu; Li Yan; Pierre Gentine; Lei Bai 001 (CoRR, 2025)

JAX-LaB: A High-Performance, Differentiable, Lattice Boltzmann Library for Modeling Multiphase Fluid Dynamics in Geosciences and Engineering. - Piyush Pradhan; Pierre Gentine; Shaina Kelly (CoRR, 2025)

PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models. - Yongquan Qu; Matthieu Blanke; Sara Shamekh; Pierre Gentine (CoRR, 2025)