This talk is presented as a Zoom Webinar and has been recorded. You can view it HERE

"Regional responses of extreme precipitation to climate change: a role for both dynamical understanding and machine learning" 

Abstract:

Extreme precipitation is predicted to increase in intensity with global warming, but the rate of increase varies widely across different regions of the world. For example, global climate models predict that extreme precipitation in summer responds only weakly over North America and Europe but strongly over India. In this talk I will first discuss the dynamical factors that contribute to changes in precipitation extremes in the extratropics. I will then discuss new approaches using machine learning in climate modeling that have the potential to improve the simulation of precipitation statistics and other aspects of the climate system.