Ai2 Climate Modeling
banner
ai2-climate.bsky.social
Ai2 Climate Modeling
@ai2-climate.bsky.social
A scientific research team dedicated to using machine learning to improving our ability simulate the climate
We're looking for 2026 summer interns to tackle exciting aspects of AI climate model development (generalization across climates, impacts modeling capabilities like fire and water resources) and to be a part of our dynamic team! job-boards.greenhouse.io/thealleninst...
Research Internship, Climate Modeling
Seattle, WA
job-boards.greenhouse.io
November 19, 2025 at 10:14 PM
We're excited to share ACE2, the latest version of the Ai2 Climate Emulator!
Last year, we developed ACE, a boundary-breaking climate emulator. Now, we introduce ACE2, which addresses stability and accuracy across a range of climates, broadening the scope of how AI can help us deal with climate change. Learn more: allenai.org/blog/ai2-cli...
The Ai2 Climate Emulator | Ai2
The Ai2 Climate Emulator: Fast, accurate AI-based atmospheric simulation for historical and future climates.
allenai.org
December 11, 2024 at 12:26 AM
Reposted by Ai2 Climate Modeling
We partnered with researchers @ucsandiego.bsky.social to supercharge climate modeling, speeding up predictions and enhancing accuracy.🌍 Check out the blog post below and come find us at #NeurIPS this week!
Computer scientists at UC San Diego and the Allen Institute for AI have developed a new climate model—combining generative AI and physics data—that is capable of predicting climate patterns 25 times faster than the state of the art. ➡️ bit.ly/3ZByZbc

#AI #Research #Climate
December 9, 2024 at 5:19 PM
Attending #AGU24 or #NeurIPS2024? @ai2-climate.bsky.social team has several presentations this week!
December 10, 2024 at 12:22 AM
Reposted by Ai2 Climate Modeling
The new ACE2 climate emulator from Oliver Watt-Meyer et al has very compelling results, with results that look comparable to NeuralGCM. Congrats to the AI2 team!
arxiv.org/abs/2411.112...
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses
Existing machine learning models of weather variability are not formulated to enable assessment of their response to varying external boundary conditions such as sea surface temperature and greenhouse...
arxiv.org
November 21, 2024 at 6:47 PM