Pierre Gentine

According to our database, Pierre Gentine authored at least 29 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming.

Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine

CoRR, 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

CoRR, 2024

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

Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM_2.5 Emissions Forecasting System.

Kyleen Liao, Jatan Buch, Kara Lamb, 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

Transferring climate change knowledge.

Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Giovanni Aloisio, Pierre Gentine

CoRR, 2023

Multi-fidelity climate model parameterization for better generalization and extrapolation.

Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine

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, 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.

CoRR, 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, Yi Zheng, Ciaran J. Harman, Martyn 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

CoRR, 2023

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, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96.

Mohamed Aziz Bhouri, Pierre Gentine

CoRR, 2022

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

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

Climate-Invariant Machine Learning.

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

CoRR, 2021

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

2020

Towards Physically-Consistent, Data-Driven Models of Convection.

Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

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

Correction: Balsamo, G., <i>et al.</i> Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. <i>Remote Sensing</i> 2018, <i>10</i>, 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, Frédéric Chevallier, Margarita Choulga, Hannah 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

Remote. Sens., 2019

Recovering the parameters underlying the Lorenz-96 chaotic dynamics.

Soukayna Mouatadid, Pierre Gentine, Wei Yu, Steve Easterbrook

CoRR, 2019

Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling.

Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine

CoRR, 2019

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, Margarita Choulga, Hannah 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

Remote. Sens., 2018

Uncovering exposures responsible for birth season - disease effects: a global study.

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

J. Am. Medical Informatics Assoc., 2018

Deep learning to represent sub-grid processes in climate models.

Stephan Rasp, Michael S. Pritchard, Pierre Gentine

CoRR, 2018

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

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

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Statistical downscaling of remotely-sensed soil moisture.

Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, Pierre Gentine

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2003

Aggregation of land surface heat fluxes using stochastic state variables.

Pierre Gentine, A. Chenbouni, Gilles Boulet, Benoît Duchemin, Franck Timouk, Jamal Ezzahar

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003

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

Proceedings of the 2003 IEEE International Geoscience and Remote Sensing Symposium, 2003