GC027
Detection and Attribution of Anthropogenic Climate Change and Extreme Weather and Climate Events
Detection and Attribution of Anthropogenic Climate Change and Extreme Weather and Climate Events
Session ID#: 157502
Session Description:
Monitoring dangerous anthropogenic interference on the climate system is critical to informed decision making regarding economies, human health, and ecosystems as the planet continues to warm. In particular, weather and climate extremes (e.g., heavy precipitation, floods, droughts, tropical cyclones, and heat waves) pose an outsized contribution to climate change risk and impacts. Formal detection and attribution studies provide a rigorous framework for understanding how anthropogenic forcing has altered both mean climate and extreme events. This session invites contributions that assess the detection and/or attribution of anthropogenic climate change and weather and climate extremes on regional or global scales. Contributions on developing new data sets and methodology (such as machine learning) for detection and attribution of climate change and extreme events are also invited.
Index Terms:
1626 Global climate models [GLOBAL CHANGE]
1630 Impacts of global change [GLOBAL CHANGE]
1637 Regional climate change [GLOBAL CHANGE]
3305 Climate change and variability [ATMOSPHERIC PROCESSES]
Primary Convener: Huanping Huang, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Conveners: Mark Daniel Risser, Lawrence Berkeley National Laboratory, Berkeley, CA, United States and Michael F Wehner, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
See more of: Global Environmental Change
