Learning Machine Learning with Lorenz-96

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Publication Details

Journal
Journal of Open Source Education
Published
2024-12-26
DOI
https://doi.org/10.21105/jose.00241
Citations
1
Primary Topic
Meteorological Phenomena and Simulations
Type
article
Field-Weighted Citation Impact
0.38

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article

Learning Machine Learning with Lorenz-96

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1 citations
Journal of Open Source Education
Meteorological Phenomena and Simulations
0.38
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Learning Machine Learning with Lorenz-96

Brandon G. Reichl, Ryan Abernathey, Alistair Adcroft, Aakash Sane, V. Balaji, Alex Connolly, Andrew Slavin Ross, Judith Berner, Laure Zanna, Lorenzo Zampieri, Julie Deshayes, Anastasiia Gorbunova, William E. Chapman, Carlos Fernandez‐Granda, Julien Le Sommer, Janni Yuval, Marika M. Holland, Sara Shamekh, Pavel Perezhogin, Mohamed Aziz Bhouri, Pierre Gentine, Nora Loose, J. Emmanuel Johnson, Mitchell Bushuk, William King Gregory, Dhruv Balwada, Tarun Verma, Arthur P. Guillaumin, Shubham Gupta, Ziwei Li, Cheng Zhang, Feiyu Lu, Shantanu Acharya, Joan Bruna
article en
1 citations

Abstract

No abstract available for this paper.
Journal of Open Source EducationVol. 7(82)
Institut polytechnique de Grenoble (FR), NSF National Center for Atmospheric Research (US), Centre National de la Recherche Scientifique (FR), Lamont-Doherty Earth Observatory (US), Queen Mary University of London (GB), NOAA Geophysical Fluid Dynamics Laboratory (US), Princeton University (US), Courant Institute of Mathematical Sciences (US), Sorbonne Université (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Futures Group (United States) (US), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), Université Bourgogne Franche-Comté (FR), Institut des Géosciences de l'Environnement (FR), NSF NCAR Climate and Global Dynamics Laboratory (US), Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (FR), Environmental Earth Sciences (AU), Institut de Recherche pour le Développement (FR), New York University (US), Massachusetts Institute of Technology (US), Columbia University (US), Université Grenoble Alpes (FR)
National Science Foundation
Openalex Percentile: Top 37%
Meteorological Phenomena and Simulations
0.38
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