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

We're excited to share ACE2, the latest version of the Ai2 Climate Emulator!

Ai2@ai2.bsky.social · 2y ago

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...

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!

UC San Diego@ucsandiego.bsky.social · 2y ago

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

Attending #AGU24 or #NeurIPS2024? @ai2-climate.bsky.social team has several presentations this week!

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