Primary Convener:
Huanping Huang, Louisiana State University

Convener:
Samuel Baugh, Penn State University
Marc Alessi, Union of Concerned Scientists
Daniel Gilford, Climate Central

Early Career Convener:
Emily Williams, University of California Merced

Chair:
Huanping Huang, Dartmouth College
Samuel Baugh, Penn State University
Marc Alessi, Union of Concerned Scientists
Daniel Gilford, Climate Central
Emily Williams, University of California Merced

Attribution science is pivotal in quantifying and demonstrating the degree to which anthropogenic climate change influences weather and climate events. As attribution science matures, new and extended methodologies are being developed to attribute both events and trends, and their impacts, to anthropogenic climate change. Attribution science may also inform certain justice-related questions society is facing, by informing legal cases or operationalizing policy. This session brings together researchers who are studying attributable extremes and trends on regional or global scales, extending attribution science methodologies into new realms, and exploring how attribution science can be used to support climate justice. We welcome submissions that: develop innovative datasets (including machine learning) for detection and attribution; explore how attribution can inform climate litigation or policy; and examine methodological constraints and advancements in conducting event attribution, source attribution, or impact attribution—particularly in critical sectors such as health, agriculture, energy, transportation and tourism.

Index Terms
3305 Climate change and variability
1626 Global climate models
1630 Impacts of global change
4313 Extreme events

Cross-Listed:
NH - Natural Hazards
SY - Science and Society
A - Atmospheric Sciences

Suggested Itineraries:
Climate Change and Global Policy

Neighborhoods:
3. Earth Covering