Abstract
In May 2025, nearly 700 participants from all around the world coalesced at 10 regional nodes and a few satellite nodes to take part in a global hackathon of kilometer-scale (horizontal grid spacing < 10 km) regional and global Earth system models. Exciting science is emerging from these efforts, ranging across novel model analysis, new ways of integrating with satellite data, and emulation with machine learning. New technologies were trialed that enable the community to work in new and complementary ways to democratize access to global information at a local scale from a set of the world’s highest-resolution climate models. The hackathon demonstrated how exascale data can be organized to be accessible to anyone. Fundamentally, the community could apply these techniques and technologies to move toward more participa-tive models for coproduction and delivery of diverse sources of climate information for climate scientists and citizens alike.
| Original language | English |
|---|---|
| Pages (from-to) | E1586-E1598 |
| Journal | Bulletin of the American Meteorological Society |
| Volume | 107 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2026 |
Keywords
- Climate models
- Climate services
- General circulation models
- Model comparison
- Neural networks
- Regional models
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