University of Cambridge > Talks.cam > Institute of Astronomy Seminars > Emulating the Climates of Potentially Habitable Exoplanets with Machine Learning

Emulating the Climates of Potentially Habitable Exoplanets with Machine Learning

Download to your calendar using vCal

If you have a question about this talk, please contact Cristiano Longarini .

We present an emulator that predicts the 3D climate of rocky exoplanets in milliseconds, with calibrated uncertainties. Trained on simulations from multiple GCMs, it produces spatially resolved fields of temperature, humidity, winds, clouds, and radiation across a broad space of planet properties, including M-dwarf to G-star hosts and snowball worlds to moist greenhouses. Emulator errors are comparable to or smaller than the disagreement between GCMs themselves.

This talk is part of the Institute of Astronomy Seminars series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity