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AI for Climate refers to the application of artificial intelligence techniques to address climate-related challenges. This includes using AI for climate modeling, prediction, and mitigation strategies.
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![]() Efficient Generative AI Boosts Probabilistic Forecasting of Sudden Stratospheric Warmings Ningning Tao Fei Xie Baoxiang Pan Hongyu Wang Han Huang Zhongpu Qiu Ke Gui Jiali Luo Xiaosong Chen | |||
![]() Leveraging an Atmospheric Foundational Model for Subregional Sea Surface Temperature Forecasting Víctor Medina Giovanny A. Cuervo-Londoño Javier Sánchez | |||
![]() 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 Anandkumar William D. Collins Michael S. Pritchard Alexander Keller | |||
![]() EPT-2 Technical Report Roberto Molinaro Niall Siegenheim Niels Poulsen Jordan Dane Daubinet Henry Martin ...Bogdan Danciu Nikoo Ekhtiari Bas Steunebrink Leonie Wagner Marvin Vincent Gabler | |||
![]() XiChen: An observation-scalable fully AI-driven global weather forecasting system with 4D variational knowledge Wuxin Wang Weicheng Ni Lilan Huang Tao Hao Ben Fei ...Kefeng Deng Xiaoyong Li Boheng Duan Lei Bai Kaijun Ren | |||
![]() RainShift: A Benchmark for Precipitation Downscaling Across Geographies Paula Harder Luca Schmidt Francis Pelletier Nicole Ludwig Matthew Chantry Christian Lessig Alex Hernandez-Garcia David Rolnick | |||
![]() Do Echo Top Heights Improve Deep Learning Nowcasts? Peter Pavlík Marc Schleiss Anna Bou Ezzeddine Viera Rozinajová | |||
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