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S2E5 Whose weather is it? A fairness framework for data-driven weather forecasting
Citation: Olivetti, L., & Messori, G. (2025). Whose weather is it? A fairness framework for data-driven weather forecasting. Environmental Research Letters, 20, 121006.…
S2E4 Learning predictable and informative dynamical drivers of extreme precipitation using variational autoencoders
Citation: Spuler, F. R., Kretschmer, M., Balmaseda, M. A., Kovalchuk, Y., & Shepherd, T. G. (2025). Learning predictable and informative dynamical drivers of extreme precipitation using…
S2E3 Green and intelligent: the role of AI in the climate transition
Green and intelligent: the role of AI in the climate transitionCitation: Stern, N., Romani, M., Pierfederici, R., Braun, M., Barraclough, D., Lingeswaran, S., Weirich-Benet, E., & Niemann, N.…
S2E2 Climate Knowledge in Large Language Models
Climate Knowledge in Large Language ModelsKuznetsov, I., Grassi, J., Pantiukhin, D., Shapkin, B., Jung, T., & Koldunov, N. (2025). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine…
S2E1 Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Artificial Intelligence for Atmospheric Sciences: A Research RoadmapCitation: Zaidan, M. A., Motlagh, N. H., Nurmi, P., Hussein, T., Kulmala, M., Petäjä, T., & Tarkoma, S. (2025). Artificial…
S1E43 Differentiable and accelerated spherical harmonic and Wigner transforms
Differentiable and accelerated spherical harmonic and Wigner transformsMatthew A. Price, Jason D. McEwen*Journal of Computational Physics (2024)** This work introduces novel algorithmic structures…
S1E42 Score-based diffusion nowcasting of GOES imagery
Score-based diffusion nowcasting of GOES imagery*Randy J. Chase, Katherine Haynes, Lander Ver Hoef, Imme Ebert-Uphoff, a Cooperative Institute for Research in the Atmosphere, Colorado State…
S1E41 FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution
FuXi-Ocean: A Global Ocean Forecasting System with Sub-Daily Resolution*Qiusheng Huang, Yuan Niu, Xiaohui Zhong, Anboyu Guo, Lei Chen, Dianjun Zhang, Xuefeng Zhang, Hao Li*---* **First Data-Driven…
S1E40 Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model
Beyond the Training Data: Confidence-Guided Mixing of Parameterizations in a Hybrid AI-Climate Model*By Helge Heuer, Tom Beucler, Mierk Schwabe, Julien Savre, Manuel Schlund, and Veronika Eyring**…
S1E39 Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Climate in a Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere(By Noah D. Brenowitz, Tao Ge, Akshay Subramaniam, Peter Manshausen, Aayush Gupta, David M. Hall,…
S1E38 Probabilistic Measures for Fair AI and NWP Model Comparison
Probabilistic measures afford fair comparisons of AIWP and NWP model output (Tilmann Gneiting, Tobias Biegert, Kristof Kraus, Eva-Maria Walz, Alexander I. Jordan, Sebastian Lerch, June 10,…
S1E37 Jigsaw: Training Multi-Billion-Parameter AI Weather Models With Optimized Model Parallelism
Jigsaw: Training Multi-Billion-Parameter AI Weather Models With Optimized Model ParallelismAuthors: Deifilia Kieckhefen, Markus Götz, Lars H. Heyen, Achim Streit, and Charlotte Debus (Karlsruhe…
S1E36 XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge
XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledgeAuthors: Wuxin Wang, Weicheng Ni, Lilan Huang, Tao Han, Ben Fei, Shuo Ma, Taikang Yuan,…
S1E35 FuXi Weather : A data-to-forecast machine learning system for global weather
A data-to-forecast machine learning system for global weather Xiuyu Sun et al. (2025). A data-to-forecast machine learning system for global weather. Nature Communications,…
S1E35 Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu• This paper introduces Spherical…
S1E34 FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale
FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima…
Can AI weather models predict out-of-distribution gray swan tropical cyclones?
Can AI weather models predict out-of-distribution gray swan tropical cyclones?by Y. Qiang Sun, Pedram Hassanzadeh, Mohsen Zand, Ashesh Chattopadhyay, Jonathan Weare, and Dorian S. AbbotInability to…
Probabilistic Emulation of a Global Climate Model with Spherical DYffusion
Probabilistic Emulation of a Global Climate Model with Spherical DYffusionby Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose YuThe paper introduces Spherical…
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán
"Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán" By Andrew J. Charlton-Perez, Helen F. Dacre, Simon Driscoll, Suzanne L.…
S1E30 Early Warning of Complex Climate Risk with Integrated Artificial Intelligence
🧠 Abstract:Climate change is increasing the frequency and severity of disasters, demanding more effective Early Warning Systems (EWS). While current systems face hurdles in forecasting,…
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Earthly Machine Learning has published 48 episodes since January 2025, covering topics in Earth Sciences, Science.
Earthly Machine Learning is currently highly active with new episodes every 2 weeks. Average episode length is 15m.
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