Pierre Gentine

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 29

Top Topics

Convex Constraints

Classifier Training

Machine Learning

Top Venues

Publications

Juan Nathaniel, Yongquan Qu, Tung Nguyen, Sungduk Yu, Julius Busecke, Aditya Grover, Pierre Gentine
ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. CoRR (2024)
Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming. CoRR (2024)
Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine
Deep Generative Data Assimilation in Multimodal Setting. CoRR (2024)
Anthony Zhou, Linnia Hawkins, Pierre Gentine
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX. CoRR (2024)
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
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. NeurIPS (2023)
Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Giovanni Aloisio, Pierre Gentine
Transferring climate change knowledge. CoRR (2023)
Kyleen Liao, Jatan Buch, Kara Lamb, Pierre Gentine
Emissions Forecasting System. CoRR (2023)
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 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.
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR (2023)
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 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
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR (2023)
Arndt Kaps, Axel Lauer, Gustau Camps-Valls, Pierre Gentine, Luis Gómez-Chova, Veronika Eyring
Machine-Learned Cloud Classes From Satellite Data for Process-Oriented Climate Model Evaluation. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine
Multi-fidelity climate model parameterization for better generalization and extrapolation. CoRR (2023)
Jerry Lin, Sungduk Yu, Tom Beucler, Pierre Gentine, David Walling, Mike Pritchard
Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models. CoRR (2023)
Mohamed Aziz Bhouri, Pierre Gentine
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96. CoRR (2022)
Yongxian Su, Xueqin Yang, Pierre Gentine, Fabienne Maignan, Jiali Shang, Philippe Ciais
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 110 (2022)
Arthur Grundner, Tom Beucler, Fernando Iglesias-Suarez, Pierre Gentine, Marco A. Giorgetta, Veronika Eyring
Deep Learning Based Cloud Cover Parameterization for ICON. CoRR (2021)
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
Climate-Invariant Machine Learning. CoRR (2021)
Julia Gottfriedsen, Max Berrendorf, Pierre Gentine, Markus Reichstein, Katja Weigel, Birgit Hassler, Veronika Eyring
On the Generalization of Agricultural Drought Classification from Climate Data. CoRR (2021)
Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS (2020)
Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
Towards Physically-consistent, Data-driven Models of Convection. CoRR (2020)
Brianna R. Pagán, Wouter H. Maes, Pierre Gentine, Brecht Martens, Diego G. Miralles
Exploring the Potential of Satellite Solar-Induced Fluorescence to Constrain Global Transpiration Estimates. Remote. Sens. 11 (4) (2019)
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
, 2038. Remote. Sens. 11 (8) (2019)
Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR (2019)
Soukayna Mouatadid, Pierre Gentine, Wei Yu, Steve Easterbrook
Recovering the parameters underlying the Lorenz-96 chaotic dynamics. CoRR (2019)
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 Mooney, Patrick B. Ryan, Yu-Chuan (Jack) Li, Rae Woong Park, Joshua C. Denny, Joel T. Dudley, George Hripcsak, Pierre Gentine, Nicholas P. Tatonetti
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25 (3) (2018)
Stephan Rasp, Michael S. Pritchard, Pierre Gentine
Deep learning to represent sub-grid processes in climate models. CoRR (2018)
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
Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote. Sens. 10 (12) (2018)
Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, Pierre Gentine
Statistical downscaling of remotely-sensed soil moisture. IGARSS (2017)
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
Measuring Tree Properties and Responses Using Low-Cost Accelerometers. Sensors 17 (5) (2017)
Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, Pierre Gentine
Statistical retrieval of surface and root zone soil moisture using synergy of multi-frequency remotely-sensed observations. IGARSS (2017)
Pierre Gentine, A. Chenbouni, Gilles Boulet, Benoît Duchemin, Franck Timouk, Jamal Ezzahar
Aggregation of land surface heat fluxes using stochastic state variables. IGARSS (2003)
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
Estimating cereal evapotranspiration using a simple model driven by satellite data. IGARSS (2003)
Jean-Philippe Gastellu-Etchegorry, Emmanuel Martin, Ferran Gascon, Alice Belot, Marie-José Lefevre, P. Boyat, Pierre Gentine, G. Ader, J. Deschard, P. Torruella, K. Chourak
DART: 3-D model of optical satellite images and radiation budget. IGARSS (2003)