Pierre Gentine

47 papers A* 2C 6Journal 38Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accurate and Efficient Hybrid-Ensemble Atmospheric Data Assimilation in Latent Space with Uncertainty Quantification. CoRR Hang Fan, Juan Nathaniel, Yi Xiao, Ce Bian, Fenghua Ling, Ben Fei, Lei Bai, Pierre Gentine
2025	J	`jnl`	Align-DA: Align Score-based Atmospheric Data Assimilation with Multiple Preferences. CoRR Jing-An Sun, Hang Fan, Junchao Gong, Ben Fei, Kun Chen, Fenghua Ling, Wenlong Zhang, Wanghan Xu, Li Yan, Pierre Gentine, Lei Bai
2025	J	`jnl`	CausalDynamics: A large-scale benchmark for structural discovery of dynamical causal models. CoRR Benjamin Herdeanu, Juan Nathaniel, Carla Roesch, Jatan Buch, Gregor N. Ramien, Johannes Haux, Pierre Gentine
2025	J	`jnl`	ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation. J. Mach. Learn. Res. Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius J. M. Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Helge Heuer, Benjamin R. Hillman, Andrea M. Jenney, Nana Liu, Alistair White, Tian Zheng, Zhiming Kuang, Fiaz Ahmed, Elizabeth A. Barnes, Noah D. Brenowitz, Christopher S. Bretherton, Veronika Eyring, Savannah L. Ferretti, Nicholas J. Lutsko, Pierre Gentine, Stephan Mandt, J. David Neelin, Rose Yu, Laure Zanna, Nathan M. Urban, Janni Yuval, Ryan Abernathey, Pierre Baldi, Wayne Chuang, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Po-Lun Ma, Sara Shamekh, Guang Zhang, Michael S. Pritchard
2025	J	`jnl`	Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition. CoRR Jerry Lin, Zeyuan Hu, Tom Beucler, Katherine Frields, Hannah Christensen, Walter M. Hannah, Helge Heuer, Peter Ukkonnen, 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
2025	J	`jnl`	Deep Koopman operator framework for causal discovery in nonlinear dynamical systems. CoRR Juan Nathaniel, Carla Roesch, Jatan Buch, Derek DeSantis, Adam Rupe, Kara Lamb, Pierre Gentine
2025	J	`jnl`	Generative emulation of chaotic dynamics with coherent prior. CoRR Juan Nathaniel, Pierre Gentine
2025	J	`jnl`	Incorporating Multivariate Consistency in ML-Based Weather Forecasting with Latent-space Constraints. CoRR Hang Fan, Yi Xiao, Yongquan Qu, Fenghua Ling, Ben Fei, Lei Bai, Pierre Gentine
2025	J	`jnl`	JAX-LaB: A High-Performance, Differentiable, Lattice Boltzmann Library for Modeling Multiphase Fluid Dynamics in Geosciences and Engineering. CoRR Piyush Pradhan, Pierre Gentine, Shaina Kelly
2025	J	`jnl`	PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models. CoRR Yongquan Qu, Matthieu Blanke, Sara Shamekh, Pierre Gentine
2025	J	`jnl`	Power Ensemble Aggregation for Improved Extreme Event AI Prediction. CoRR Julien Collard, Pierre Gentine, Tian Zheng
2025	J	`jnl`	Pre-averaging fractional processes contaminated by noise, with an application to turbulence. J. Appl. Probab. David Chen, Yu Cheng, Carsten H. Chong, Pierre Gentine, Wangdong Jia, Bryce J. Monier, Shiyang Shen
2025	J	`jnl`	Strictly Constrained Generative Modeling via Split Augmented Langevin Sampling. CoRR Matthieu Blanke, Yongquan Qu, Sara Shamekh, Pierre Gentine
2024	A*	`conf`	ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. NeurIPS Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
2024	J	`jnl`	ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. CoRR Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
2024	—	`conf`	Deep Generative Data Assimilation in Multimodal Setting. CVPR Workshops Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine
2024	J	`jnl`	Deep Generative Data Assimilation in Multimodal Setting. CoRR Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine
2024	J	`jnl`	Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming. CoRR Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine
2024	J	`jnl`	Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX. CoRR Anthony Zhou, Linnia Hawkins, Pierre Gentine
2023	A*	`conf`	ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS 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, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard
2023	J	`jnl`	ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR 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, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.
2023	J	`jnl`	Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR 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, Yi Zheng, Ciaran J. Harman, Martyn P. Clark, Matthew W. Farthing, Dapeng Feng, Praveen Kumar, Doaa Aboelyazeed, Farshid Rahmani, Hylke E. Beck, Tadd Bindas, Dipankar Dwivedi, Kuai Fang, Marvin Höge, Chris Rackauckas, Tirthankar Roy, Chonggang Xu, Kathryn Lawson
2023	J	`jnl`	Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. IEEE Trans. Geosci. Remote. Sens. Arndt Kaps, Axel Lauer, Gustau Camps-Valls, Pierre Gentine, Luis Gómez-Chova, Veronika Eyring
2023	J	`jnl`	Multi-fidelity climate model parameterization for better generalization and extrapolation. CoRR Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine
2023	J	`jnl`	Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM CoRR Kyleen Liao, Jatan Buch, Kara Lamb, Pierre Gentine
2023	J	`jnl`	Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models. CoRR Jerry Lin, Sungduk Yu, Tom Beucler, Pierre Gentine, David Walling, Mike Pritchard
2023	J	`jnl`	Transferring climate change knowledge. CoRR Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Giovanni Aloisio, Pierre Gentine
2022	J	`jnl`	History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96. CoRR Mohamed Aziz Bhouri, Pierre Gentine
2022	J	`jnl`	Observed strong atmospheric water constraints on forest photosynthesis using eddy covariance and satellite-based data across the Northern Hemisphere. Int. J. Appl. Earth Obs. Geoinformation Yongxian Su, Xueqin Yang, Pierre Gentine, Fabienne Maignan, Jiali Shang, Philippe Ciais
2021	J	`jnl`	Climate-Invariant Machine Learning. CoRR Tom Beucler, Michael S. Pritchard, Janni Yuval, Ankitesh Gupta, Liran Peng, Stephan Rasp, Fiaz Ahmed, Paul A. O'Gorman, J. David Neelin, Nicholas J. Lutsko, Pierre Gentine
2021	J	`jnl`	Deep Learning Based Cloud Cover Parameterization for ICON. CoRR Arthur Grundner, Tom Beucler, Fernando Iglesias-Suarez, Pierre Gentine, Marco A. Giorgetta, Veronika Eyring
2021	J	`jnl`	On the Generalization of Agricultural Drought Classification from Climate Data. CoRR Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Markus Reichstein, Katja Weigel, Birgit Hassler, Veronika Eyring
2020	C	`conf`	Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
2020	J	`jnl`	Towards Physically-consistent, Data-driven Models of Convection. CoRR Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
2019	J	`jnl`	Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine
2019	J	`jnl`	Correction: Balsamo, G., Remote. Sens. 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, Frédéric Chevallier, Margarita Choulga, Hannah L. Cloke, Meghan F. Cronin, Mohamed Dahoui, Patricia de Rosnay, Paul A. Dirmeyer, Matthias Drusch, Emanuel Dutra, Michael B. Ek, Pierre Gentine, Helene Hewitt, Sarah P. E. Keeley, Yann Kerr, Sujay V. Kumar, Cristina Lupu, Jean-François Mahfouf, Joe McNorton, Susanne Mecklenburg, Kristian Mogensen, Joaquín Muñoz Sabater, Rene Orth, Florence Rabier, Rolf Reichle, Benjamin C. Ruston, Florian Pappenberger, Irina Sandu, Sonia I. Seneviratne, Steffen Tietsche, Isabel F. Trigo, Remko Uijlenhoet, Nils Wedi, R. Iestyn Woolway, Xubin Zeng
2019	J	`jnl`	Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates. Remote. Sens. Brianna Rita Pagán, Wouter H. Maes, Pierre Gentine, Brecht Martens, Diego G. Miralles
2019	J	`jnl`	Recovering the parameters underlying the Lorenz-96 chaotic dynamics. CoRR Soukayna Mouatadid, Pierre Gentine, Wei Yu, Steve Easterbrook
2018	J	`jnl`	Deep learning to represent sub-grid processes in climate models. CoRR Stephan Rasp, Michael S. Pritchard, Pierre Gentine
2018	J	`jnl`	Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote. Sens. 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, Margarita Choulga, Hannah L. Cloke, Meghan F. Cronin, Mohamed Dahoui, Patricia de Rosnay, Paul A. Dirmeyer, Matthias Drusch, Emanuel Dutra, Michael B. Ek, Pierre Gentine, Helene Hewitt, Sarah P. E. Keeley, Yann Kerr, Sujay V. Kumar, Cristina Lupu, Jean-François Mahfouf, Joe McNorton, Susanne Mecklenburg, Kristian Mogensen, Joaquín Muñoz Sabater, Rene Orth, Florence Rabier, Rolf Reichle, Benjamin C. Ruston, Florian Pappenberger, Irina Sandu, Sonia I. Seneviratne, Steffen Tietsche, Isabel F. Trigo, Remko Uijlenhoet, Nils Wedi, R. Iestyn Woolway, Xubin Zeng
2018	J	`jnl`	Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. Mary Regina Boland, Pradipta Parhi, Li Li, 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, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
2017	J	`jnl`	Measuring Tree Properties and Responses Using Low-Cost Accelerometers. Sensors 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
2017	C	`conf`	Statistical downscaling of remotely-sensed soil moisture. IGARSS Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, Pierre Gentine
2017	C	`conf`	Statistical retrieval of surface and root zone soil moisture using synergy of multi-frequency remotely-sensed observations. IGARSS Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, Pierre Gentine
2003	C	`conf`	Aggregation of land surface heat fluxes using stochastic state variables. IGARSS Pierre Gentine, A. Chenbouni, Gilles Boulet, Benoît Duchemin, Franck Timouk, Jamal Ezzahar
2003	C	`conf`	DART: 3-D model of optical satellite images and radiation budget. IGARSS 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
2003	C	`conf`	Estimating cereal evapotranspiration using a simple model driven by satellite data. IGARSS 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