Climate Now
Climate Now
Nov 2, 2021
Improving Climate Models with Machine Learning with Laure Zanna
Play • 26 min

Most climate models in use today are based upon large-scale, well-understood physical relationships that drive global temperature and precipitation trends. 

But the effects of complicated interactions that occur on smaller scales, which may still be significant, are harder to capture in these models.

That is why Dr. Laure Zanna of New York University and her colleagues are employing machine learning techniques, which can "learn" the effects of these interactions without explicitly solving the physics, to improve climate modeling.  Climate Now spoke with Dr. Zanna to learn more.

Follow us on Twitter, LinkedIn, Facebook, and Instagram.

Contact us at

Visit our website for all of our content and sources for each episode.

More episodes
Clear search
Close search
Google apps
Main menu