#AI models do pretty darn well at forecasting the #weather. But they've struggled to predict weather extremes (e.g. strong storms, heat waves, heavy rains). I wrote about one of the many teams of scientists looking to change that. 🧪 #AGU25 #wx @pedramh.bsky.social www.nature.com/articles/d41...

This AI model ‘studied’ physics — and learnt to forecast extreme weather

Combining artificial intelligence with a conventional climate model can predict heatwaves faster than the standard model alone.

nature.com

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...

Can AI weather models predict out-of-distribution gray swan tropical cyclones? | PNAS

Predicting gray swan weather extremes, which are possible but so rare that they are absent from the training dataset, is a major concern for AI wea...

doi.org

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....

Propagation and Periodicity of Mars's Northern Annular Mode Modulates the Dust Cycle

Mars's Northern Annular Mode (MNAM), diagnosed from a reanalysis dataset, propagates with a 150-day period, independent of the season Like Earth's, MNAM arises from feedbacks between the two lead...

agupubs.onlinelibrary.wiley.com

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

Machine learning for the physics of climate - Nature Reviews Physics

Artificial intelligence techniques, specifically machine learning, are being increasingly applied to climate physics owing to the growing availability of big data and increasing computational power. T...

nature.com

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

Data Science Institute@dsi-uchicago.bsky.social · 2y ago

Job Opportunity Alert: Research Scientist: apply.interfolio.com/159359 EOE / Vet / Disability

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...