Stanford University

ESS Seminar Series: Dr. Paul O'Gorman “Understanding the Global Pattern of Changes in Precipitation Extremes"

When:
-
Where:
Polya Hall, 111
More Info:
ESS Seminar Series: Dr. Paul O'Gorman “Understanding the Global Pattern of Chan…
Audience:
Students - Undergraduates, Students - Graduates, Students, Staff - Managers, Staff - Academic, Postdocs, Members, Faculty, Alumni, Affiliates
Sponsors:
Department of Earth System Science

Please join us Thursday - November 3rd for our Autumn Seminar Series with our guest speaker: Paul O’Gorman, Ph.D. A special thanks to Professor Aditi Sheshadri for bringing this speaker to us for this seminar.

 

DEPARTMENT OF EARTH SYSTEM SCIENCE

SEMINAR SERIES AUTUMN 2022

IN-PERSON EVENT  

12:00 - 1:20pm

Thursday, November 3rd, 2022

Polya Hall - Turing Auditorium (Room 111)

 

Paul O’Gorman, Ph.D

Professor of Atmospheric Science, Massachusetts Institute of Technology

Department of Earth, Atmospheric and Planetary Sciences  

 

Understanding the Global Pattern of Changes in Precipitation Extremes

Extreme precipitation increases in intensity with global warming, but the rate of increase varies widely across different regions and in different seasons. For example, global climate models predict that extreme precipitation in summer responds only weakly over North America and Europe but strongly over parts of India. In this talk, I will discuss the dynamical factors that contribute to changes in precipitation extremes in the extratropics, and I will discuss the seasonal contrast in the response that is found in both projections and observed trends. Lastly, I will briefly explore the potential for machine learning to improve the simulation of extreme precipitation in global models. 

 

Bio

Paul O'Gorman is a Professor of Atmospheric Science at MIT.  His research is motivated by the need to understand how the hydrological cycle and atmospheric circulations respond to climate change. Specific areas of interest include the extratropical storm tracks, moist convection, and extreme precipitation. In addition to developing theory and analyzing simulations and observations, his research group is working to improve climate models through machine learning. 

 

Website:

pog.mit.edu

IconsList of icons used on the sitemaillinkedindouble carrot leftarrow leftdouble carrotplayerinstagramclosecarrotquotefacebooktwitterplusminussearchmenuarrowcloudclock