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The current explosion in machine learning for climate has led to skilled, computationally cheap emulators for the atmosphere.
Open boundary conditions for long-term integration of regional oceanic models
Patrick Marchesiello, James C McWilliams, and Alexander Shchepetkin · 2001
Earlier work this paper cites.
Wind stress drag coefficient over the global ocean
A Birol Kara, Alan J Wallcraft, E Joseph Metzger, Harley E Hurlburt, and Chris W Fairall · 2007
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Simulated climate and climate change in the gfdl cm2. 5 high-resolution coupled climate model
Thomas L Delworth, Anthony Rosati, Whit Anderson, Alistair J Adcroft, Venkatramani Balaji, Rusty Benson, Keith Dixon, Stephen M Griffies, Hyun-Chul Lee, Ronald C Pacanowski, et al · 2012
Earlier work this paper cites.
U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Gcm-filters: A python package for diffusion-based spatial filtering of gridded data
Nora Loose, Ryan Abernathey, Ian Grooms, Julius Busecke, Arthur Guillaumin, Elizabeth Yankovsky, Gustavo Marques, Jacob Steinberg, Andrew Slavin Ross, Hemant Khatri, Scott Bachman, Laure Zanna, and Paige Martin · 2022
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Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al · 2022
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Machine learning for clouds and climate
Tom Beucler, Imme Ebert-Uphoff, Stephan Rasp, Michael Pritchard, and Pierre Gentine · 2023
Cited alongside, same era.
Accurate medium-range global weather forecasting with 3d neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian · 2023
Cited alongside, same era.
Ocean emulation with fourier neural operators: Double gyre
Suyash Bire, Björn Lütjens, Kamyar Azizzadenesheli, Anima Anandkumar, and Christopher N Hill · 2023
Cited alongside, same era.
Spherical fourier neural operators: Learning stable dynamics on the sphere
Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, and Anima Anandkumar · 2023
Oceannet: A principled neural operator-based digital twin for regional oceans
Ashesh Chattopadhyay, Michael Gray, Tianning Wu, Anna B Lowe, and Ruoying He · 2023
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Neural general circulation models
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter Norgaard, Jamie Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter Düben, Milan Klöwer, et al · 2023
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Ace: A fast, skillful learned global atmospheric model for climate prediction
Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K Clark, Brian Henn, James Duncan, Noah D Brenowitz, Karthik Kashinath, Michael S Pritchard, Boris Bonev, et al · 2023
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Ai-goms: Large ai-driven global ocean modeling system
Wei Xiong, Yanfei Xiang, Hao Wu, Shuyi Zhou, Yuze Sun, Muyuan Ma, and Xiaomeng Huang · 2023
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Cited alongside, same era.