Pedram Hassanzadeh
pedramh.bsky.social
Pedram Hassanzadeh
@pedramh.bsky.social
Professor of climate science + applied math, University of Chicago @UChicago. AI for Climate Initiative (AICE). Extreme weather, scientific ML, climate change & turbulence.
Reposted by Pedram Hassanzadeh
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

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July 31, 2025 at 3:43 PM
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
May 21, 2025 at 12:43 PM
Reposted by Pedram Hassanzadeh
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
April 2, 2025 at 5:24 PM
Reposted by Pedram Hassanzadeh
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...
www.nature.com
November 25, 2024 at 6:18 AM
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
November 22, 2024 at 10:21 PM
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.
November 17, 2024 at 3:23 AM
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...
January 3, 2024 at 4:31 PM