Bridging the Gap from Climate to Extreme Weather: Theory, Modeling, and Observations
Bridging the Gap from Climate to Extreme Weather: Theory, Modeling, and Observations
Session ID#: 280619
Session Description:
There is a growing need to understand how extreme weather phenomena will change in the future under climate change and therefore how such phenomena emerge from the climate system in general. This session seeks novel research bridging the gap between climate and extreme weather, with an emphasis on uncovering the underlying physical processes that generate extremes and the mechanisms by which their statistics vary across climate states, including under global warming. We welcome studies of all types of extreme weather, such as severe thunderstorms, tornadoes, hurricanes, extreme precipitation, heatwaves, droughts, wildfires, winter storms, and compound events. Contributions employing a wide range of approaches are sought, including idealized and high-resolution climate modeling, advanced statistics and machine learning, observational and historical data analysis, and theory.
Co-Sponsor(s):
- GC - Global Environmental Change
- NH - Natural Hazards
Index Terms:
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
3320 Idealized model [ATMOSPHERIC PROCESSES]
3337 Global climate models [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]
Primary Convener: Funing Li, PhD, Massachusetts Institute of Technology, Cambridge, MA, United States
Conveners: Akintomide A Akinsanola, University of Illinois at Chicago, Earth and Environmental Science, Chicago, IL, United States, Suqin Duan, University of California Los Angeles, Los Angeles, United States and Mingyu Park, Ulsan National Institute of Science and Technology, Ulsan, Korea, Republic of (South)
Student/Early Career Convener: Robert van der Drift, Massachusetts Institute of Technology, Cambridge, MA, United States
See more of: Atmospheric Sciences