Researchers at the AI for Climate Initiative (AICE) are leveraging AI and machine learning to revolutionize how we predict the weather Learn how they’re working to explore extreme scenarios and democratize access to state-of-the-art forecasts 🧵

Can AI weather models predict out-of-distribution gray swan extremes? We report @pnas.org that the answer is NO for global gray swans, YES for regional ones: AI models can't extrapolate from weaker events but can learn from similar events in other regions during training! doi.org/10.1073/pnas...

Cool Mars science thread to celebrate Musk’s defeat yesterday: Mars has irregular global dust storms—sometimes x2 a year, sometimes none for a decade. I, with @pedramh.bsky.social +others, looked at potentially why in @agu.org. ☄️🔭🧪 #planetsci #Mars agupubs.onlinelibrary.wiley.com/doi/full/10....

I am very glad to share this review paper: 📃 "Machine Learning for the Physics of Climate." As stated in the title, the review targets the opportunities and challenges of machine learning for climate physics. www.nature.com/articles/s42... @pedramh.bsky.social

Research scientist position on AI weather forecasting at UChicago's AI for Climate (AICE) initiative to work with me, Amir Jina, and Michael Kremer. Will work across our new Human-Centered Weather Forecasting Initiative + @dsi-uchicago.bsky.social + Climate Institute

Sr Director position (weather forecast) at UChicago's new Human-Centered Weather Forecasting Initiative. Unique opportunity to lead an interdisciplinary team to generate AI- & physics-based forecasts, particularly to support communities most vulnerable to climate variability.

David Keith and I are looking for a postdoc to work on leveraging the recent advances in ML weather models to develop ML emulators for solar geoengineering at the University of Chicago. Details below geosci.uchicago.edu/postdoc-posi...