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  • Presentation | IN41A: AI Foundation Models for Earth, Space, and Planetary Sciences II Oral
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  • IN41A-03: Climate in a Bottle: A Multi-Modal Generative Foundation Model for On-Demand Kilometer-Scale Climate States (highlighted)
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Author(s):
David Hall, NVIDIA Corporation (First Author, Presenting Author)
Noah Brenowitz, NVIDIA Corporation
Tao Ge, NVIDIA Corporation
Akshay Subramaniam, NVIDIA Corporation
Peter Manshausen, NVIDIA Corporation
Morteza Mardani, NVIDIA Corporation
AAyush Gupta, NVIDIA Corporation
Arash Vahdat, NVIDIA Corporation
Karthik Kashinath, NVIDIA Corporation
Michael Pritchard, NVIDIA Corporation


Climate in a Bottle (cBottle) revolutionizes climate analysis by making high-resolution atmospheric data instantly accessible to everyone. Instead of needing supercomputers and months of processing, anyone can generate physically accurate climate states at 5-kilometer resolution in seconds. The breakthrough? You can request specific conditions - like generating tropical cyclones at chosen locations - and get physically accurate results immediately. This transforms how communities prepare for climate risks: emergency managers can test local disaster scenarios, farmers can assess fine-scale impacts, and planners can make informed decisions based on kilometer-scale climate data. By compressing massive climate archives into an efficient AI system, cBottle democratizes access to climate intelligence that was previously available only to major research institutions.



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