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Machine learning methods have been shown to be effective for weather forecasting, based on the speed and accuracy compared to traditional numerical models.
Strictly proper scoring rules, prediction, and estimation
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Scientific challenges of convective-scale numerical weather prediction
Jun-Ichi Yano, Michał Z Ziemiański, Mike Cullen, Piet Termonia, Jeanette Onvlee, Lisa Bengtsson, Alberto Carrassi, Richard Davy, Anna Deluca, Suzanne L Gray, et al · 2018
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Estimation of the continuous ranked probability score with limited information and applications to ensemble weather forecasts
Michaël Zamo and Philippe Naveau · 2018
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Score-based generative modeling through stochastic differential equations
Yang Song, Jascha Sohl-Dickstein, Diederik P Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole · 2020
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The future of forecasting for renewable energy
Conor Sweeney, Ricardo J. Bessa, Jethro Browell, and Pierre Pinson · 2020
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Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere
Jonathan A. Weyn, Dale R. Durran, and Rich Caruana · 2020
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Calibration of large neural weather models
Andre Graubner, Kamyar Kamyar Azizzadenesheli, Jaideep Pathak, Morteza Mardani, Mike Pritchard, Karthik Kashinath, and Anima Anandkumar · 2022
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Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
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Forecasting global weather with graph neural networks, 2022
Ryan Keisler · 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, Pedram Hassanzadeh, Karthik Kashinath, and Animashree Anandkumar · 2022
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Accurate medium-range global weather forecasting with 3d neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian · 2023
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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
Neural general circulation models for weather and climate
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter Norgaard, Jamie Smith, Griffin Mooers, Milan Klöwer, James Lottes, Stephan Rasp, Peter Düben, Sam Hatfield, Peter Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P Brenner, and Stephan Hoyer · 2024
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Aifs – ecmwf’s data-driven forecasting system, 2024
Simon Lang, Mihai Alexe, Matthew Chantry, Jesper Dramsch, Florian Pinault, Baudouin Raoult, Mariana C. A. Clare, Christian Lessig, Michael Maier-Gerber, Linus Magnusson, Zied Ben Bouallègue, Ana Prieto Nemesio, Peter D. Dueben, Andrew Brown, Florian Pappenberger, and Florence Rabier · 2024
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Data driven weather forecasts trained and initialised directly from observations, 2024
Anthony McNally, Christian Lessig, Peter Lean, Eulalie Boucher, Mihai Alexe, Ewan Pinnington, Matthew Chantry, Simon Lang, Chris Burrows, Marcin Chrust, Florian Pinault, Ethel Villeneuve, Niels Bormann, and Sean Healy · 2024
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Regional data-driven weather modeling with a global stretched-grid, 2024
Thomas Nils Nipen, Håvard Homleid Haugen, Magnus Sikora Ingstad, Even Marius Nordhagen, Aram Farhad Shafiq Salihi, Paulina Tedesco, Ivar Ambjørn Seierstad, Jørn Kristiansen, Simon Lang, Mihai Alexe, Jesper Dramsch, Baudouin Raoult, Gert Mertes, and Matthew Chantry · 2024
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Gaussian error linear units (gelus), 2023
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Climate change 2023: Synthesis report. contribution of working groups i, ii and iii to the sixth assessment report of the intergovernmental panel on climate change
IPCC · 2023
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Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, et al · 2023
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Graph-based neural weather prediction for limited area modeling
Joel Oskarsson, Tomas Landelius, and Fredrik Lindsten · 2023
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Weatherbench 2: A benchmark for the next generation of data-driven global weather models, 2023
Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter Battaglia, Tyler Russel, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, Matthew Chantry, Zied Ben Bouallegue, Peter Dueben, Carla Bromberg, Jared Sisk, Luke Barrington, Aaron Bell, and Fei Sha · 2023
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Probabilistic weather forecasting with hierarchical graph neural networks
Joel Oskarsson, Tomas Landelius, Marc Peter Deisenroth, and Fredrik Lindsten · 2024
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Kilometer-scale convection allowing model emulation using generative diffusion modeling, 2024
Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah Brenowitz, Dale Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, and Michael Pritchard · 2024
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Jimeng Shi, Bowen Jin, Jiawei Han, and Giri Narasimhan · 2024
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Exploring the design space of deep-learning-based weather forecasting systems, 2024
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Yinglong: Skillful high resolution regional short term forecasting with boundary smoothing, 2024
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U.s. billion-dollar weather and climate disasters, 2025
NOAA NCEI · 2025
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Probabilistic weather forecasting with machine learning
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Tom R Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, et al · 2025
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This is the economic cost of extreme weather
J. Whitt and S. Gordon · 2025
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Designing inclusive, accessible early warning systems: Good practices and entry points, 2023
World Bank · 2025
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