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2020 – today
- 2024
[c8]Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine:
Deep Generative Data Assimilation in Multimodal Setting. CVPR Workshops 2024: 449-459- [i18]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 abs/2402.00712 (2024) - [i17]Yongquan Qu, Mohamed Aziz Bhouri, Pierre Gentine:
Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming. CoRR abs/2403.02215 (2024) - [i16]Yongquan Qu, Juan Nathaniel, Shuolin Li, Pierre Gentine:
Deep Generative Data Assimilation in Multimodal Setting. CoRR abs/2404.06665 (2024) - [i15]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 abs/2405.00018 (2024) - 2023
- [j7]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: 1-15 (2023) - [c7]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 - [i14]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:
Differentiable modeling to unify machine learning and physical models and advance Geosciences. CoRR abs/2301.04027 (2023) - [i13]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.:
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. CoRR abs/2306.08754 (2023) - [i12]Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine:
Multi-fidelity climate model parameterization for better generalization and extrapolation. CoRR abs/2309.10231 (2023) - [i11]Francesco Immorlano, Veronika Eyring, Thomas le Monnier de Gouville, Gabriele Accarino, Donatello Elia, Giovanni Aloisio, Pierre Gentine:
Transferring climate change knowledge. CoRR abs/2309.14780 (2023) - [i10]Jerry Lin, Sungduk Yu, Tom Beucler, Pierre Gentine, David Walling, Mike Pritchard:
Systematic Sampling and Validation of Machine Learning-Parameterizations in Climate Models. CoRR abs/2309.16177 (2023) - [i9]Kyleen Liao, Jatan Buch, Kara Lamb, Pierre Gentine:
Simulating the Air Quality Impact of Prescribed Fires Using a Graph Neural Network-Based PM2.5 Emissions Forecasting System. CoRR abs/2312.04291 (2023) - 2022
- [j6]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: 102808 (2022) - [i8]Mohamed Aziz Bhouri, Pierre Gentine:
History-Based, Bayesian, Closure for Stochastic Parameterization: Application to Lorenz '96. CoRR abs/2210.14488 (2022) - 2021
- [i7]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 abs/2111.15452 (2021) - [i6]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 abs/2112.08440 (2021) - [i5]Arthur Grundner, Tom Beucler, Fernando Iglesias-Suarez, Pierre Gentine, Marco A. Giorgetta, Veronika Eyring:
Deep Learning Based Cloud Cover Parameterization for ICON. CoRR abs/2112.11317 (2021) - 2020
- [c6]Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS 2020: 3987-3990 - [i4]Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-consistent, Data-driven Models of Convection. CoRR abs/2002.08525 (2020)
2010 – 2019
- 2019
- [j5]Brianna Rita 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): 413 (2019) - [j4]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:
Correction: Balsamo, G., et al. Satellite and In Situ Observations for Advancing Global Earth Surface Modelling: A Review. Remote Sensing 2018, 10, 2038. Remote. Sens. 11(8): 941 (2019) - [i3]Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR abs/1906.06622 (2019) - [i2]Soukayna Mouatadid, Pierre Gentine, Wei Yu, Steve Easterbrook:
Recovering the parameters underlying the Lorenz-96 chaotic dynamics. CoRR abs/1906.06786 (2019) - 2018
- [j3]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:
Uncovering exposures responsible for birth season - disease effects: a global study. J. Am. Medical Informatics Assoc. 25(3): 275-288 (2018) - [j2]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): 2038 (2018) - [i1]Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Deep learning to represent sub-grid processes in climate models. CoRR abs/1806.04731 (2018) - 2017
- [j1]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): 1098 (2017) - [c5]Seyed Hamed Alemohammad, Jana Kolassa, Catherine Prigent, Filipe Aires, Pierre Gentine:
Statistical downscaling of remotely-sensed soil moisture. IGARSS 2017: 2511-2514 - [c4]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: 4943-4946
2000 – 2009
- 2003
- [c3]Pierre Gentine, A. Chenbouni, Gilles Boulet, Benoît Duchemin, Franck Timouk, Jamal Ezzahar:
Aggregation of land surface heat fluxes using stochastic state variables. IGARSS 2003: 2608-2610 - [c2]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: 2762-2764 - [c1]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:
DART: 3-D model of optical satellite images and radiation budget. IGARSS 2003: 3242-3244
Coauthor Index
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