ECO-N and LGS-CAR Advanced Training Module
Climate Attribution
Climate attribution is a rapidly developing field at the intersection of climate science, with many intersections with climate impacts, economics, and policy. The Advanced Training Module on "Climate Attribution" is offered as part of the ECO-N and LGS-CAR qualification programme for PhD researchers and early-career scientists.
Participants will gain understanding of how climate change influences extreme weather events, the methods used to attribute such events to anthropogenic climate change, and the socio-economic dimensions of climate-related damages. The training also covers theoretical and applied aspects of attribution, with emphasis on discussion, critical thinking, and hands-on practice.
Programme
Wednesday, 3 September 2025
12.00 h Lunch (Sandwiches)
13.00 h Welcome (Martin Quaas, Speaker ECO-N; Andreas Macke, Speaker LGS-CAR)
13.15 h Introduction to climate attribution (Sebastian Sippel)
14.15 h Discussions
14.30 h Event attribution and socio-economic dimensions of damage (Fredi Otto)
15.30 h Discussions
15.45 h Coffee
16.15 h Practicals (Fredi Otto)
17.15 h Discussions
17.30 h End day 1
19.00 h Dinner (tbd)
Thursday, 4 September 2025
9.00 h Linking NLP-derived socioeconomic impact data to their driving factors (Mariana de Brito)
10.00 h Discussions
10.15 h Coffee
10.45 h Compound events in a changing climate (Emanuele Bevacqua)
11.45 h Discussions
12.00 h Lunch (Sandwiches)
13.00 h Is there value in causal attribution? (Timo Goeschl)
14.30 h Discussions
15.00 h Coffee
15.30 h Breakout discussions
17.30 h Reports from breakout discussions
18.00 h End day 2
19.00 h Dinner (tbd)
Friday, 5 September 2025
9.00 h Attribution, uncertainty, insurance (tbd) (Stefan Baumgärtner)
10.30 h Discussions
11.00 h Coffee
End
The course is open to interested doctoral researchers and early-career scientists (limited number of participants) and free of charge. The registration deadline is 9 July 2025. External participants need to cover any travel expenses themselves.